Volume 12 Issue 1

Information Technology Capabilities: Determinant of Enhanced Organizational Performance

Authors- Dr. Joanes K. Kyongo, Rosemary Mavuti

Abstract- The study sought to establish the effect of information technology capabilities on organizational performance at M. KOPA, Kenya and the corresponding hypothesis was formulated and tested. The study targeted 129 employees of M. KOPA and 118 of them responded. The study adopted a descriptive research design and positivist research philosophy. SPSS version 26 was used to analyze data using correlation and regression analysis. Research findings from the test of hypothesis established that technology capabilities positively and significantly affected the performance of M. KOPA. The study findings support Dynamic Capabilities Theory and Innovation Diffusion Theory which underpin technology capabilities-organizational performance link.

Sponsored by: ABCD-Index RAMP

A Review on Effects of Different Nanofluids on Trapezoidal Corrugated Channel

Authors- M.Tech Scholar Abhishek Ramteke, Professor Dr. Sanjay Kumar Singh

Abstract- Heating/cooling processes using different techniques are essential in many industrial applications such as production and electronics processes, and consequently, all machines require reducing or increasing heat transfer. Despite the high pressure drop caused by turbulent flow in complicated channels, the use of corrugation in heat exchangers has received a lot of attention during the last two decades. Therefore, corrugated surface technique is the promising method to intensify the thermal performance and compactness of heat transfer instruments in some cooling system applications, especially in compact plate heat exchangers. Corrugated walls depend on manipulating the fluid direction of the main flow, which helps induce recirculation flow vortexes that enhance heat transfer. On the other hand, the use of traditional fluids in this technique has been limited due to their somewhat lackluster thermal properties. Therefore, the poor thermophysical properties of these liquids are considered as the major obstacle to improving heat transfer processes. The introduction of nanoparticles into conventional liquids offers a viable solution to improving the thermal properties of these liquids.

Fluid Flow Analysis of Building Structure Using CFD Tool

Authors- Research scholar Shubham Patel, Assistant Professor & (HOD) Rahul Satbhaiya

Abstract- The research paper presents a comprehensive Computational Fluid Dynamics (CFD) analysis of a building, aiming to elucidate its fluid dynamics characteristics and their implications on architectural design and sustainability. The study employs a meticulous methodology, encompassing the generation of a detailed 3D building model, mesh generation, and the application of validated physical models and governing equations. Through a systematic validation process and careful simulation setup, the study ensures the accuracy and reliability of the CFD model. The post-processing and analysis phase unveil crucial insights through pressure distribution, velocity distribution, and drag force distribution plots, providing a detailed examination of aerodynamic features, airflow patterns, and structural loads. The findings contribute valuable information for architectural design considerations, energy efficiency optimization, and structural sustainability. This research enhances our understanding of the complex interplay between fluid dynamics and building design, fostering informed decisions for future construction projects.

A Comparative Study of Soil Stabilization Using Cement, Lime and Fly Ash

Authors- Assistant Professor Ms. Dipali Jaiswal

Abstract- Soil stabilization can be explained as the alteration of the soil properties by chemical or physical means in order to enhance the engineering properties of the soil. The main objectives of the soil stabilization are to increase the bearing capacity of the soil, its resistance to weathering process and soil permeability. The long-term performance of any construction project depends on the soundness of the underlying soils. Unstable soils can create significant problems for pavements or structures, Therefore, soil stabilization techniques are necessary to ensure the good stability of soil so that it can successfully sustain the load of the structure especially in case of soil which are highly active, also it saves a lot of time and lot of money when compared to the method of cutting out and replacing the unstable soil. This paper presents a study of Cement, Lime and Fly Ash as the admixture in improving the maximum dry density (MDD), optimum moisture content (OMC), California Bearing Ratio (CBR).

Performance and Analysis of Multilevel Inverter Based on Soft Computing Control Techniques

Authors- Phd Scholar Vinod Kumar Pathak, Anand Singh

Abstract- Nowadays Renewable energy sources play a prominent role in the areas of research, due to exhaustion of conventional energy sources. The major available renewable energy sources are sunlight, wind energy and Fuel Cells. In this work Fuel cells were used as a source of energy for multilevel inverters instead of DC sources. Multilevel converters are very interesting solution for medium and high voltage applications, due to its characteristic to synthesize a sinusoidal voltage from several DC levels. The better topology for power quality and transmission system applications is the cascaded multilevel inverters. However, this topology presents a problem that consists of use of several DC sources or Fuel cell energy system. Nowadays multilevel inverters have a great relevance in transmission and distribution systems, due to its general structure which synthesizes a sinusoidal voltage in many voltages levels. Multilevel inverters generates an output signal with low THD, because of this the size of the output filter reduces, whose cut-off frequency depends on the modulation technique and the switching frequency used. In addition it can be possible to use PWM modulation over each step staircase voltage, generating a high PWM frequency output. The Topology-I of cascaded H-Bridge multilevel inverter is general type of 11 levels Multi Level Inverter (MLI).

A Study of Image Processing Using Machine Learning and Artificial Intelligence Concept

Authors- Dr Neetesh Raghuwanshi, Dr Bharti Chourasia, Dheeraj Kumar

Abstract- When an object is in front of their eyes, humans can recognize and detect it with ease. It is well knowledge that the human visual system is incredibly quick and precise, making it easy to carry out difficult tasks like object identification and detection. But imagine a scenario where we have to get a ring from a table that has variously sized boxes and other objects on it. We’ll have to deal with some challenges and a lengthy search for the key. Object detection and tracking is a one of the challenging task in computer vision with a computer program, we can locate a ring in an instant. Similarly, a vast amount of data and algorithms are readily available, allowing us to train datasets and compute the high accuracy detection and classification of numerous items. DL, ML, and AI are popular these days. Computer vision is one of the most well-known applications of AI. Computer vision is the science of using computers and software to identify and comprehend images. Along with other things, it includes object detection and image identification. We will provide a quick explanation of the concepts of object identification, picture classification, and current image detection in this work.

Analysis of Microstrip Rectangular Patch Anteena for 5G Communication

Authors- Assistant. Professor. Dheeraj Kumar, HOD & Associate Professo Neetesh Raghuwanshi

Abstract- Wireless networks can now only function at 4G, although 5G is being developed. These days, a lot of software run on fourth-generation communication technologies. Research on 5G communications is still in its infancy. Because microstrip antennas may be used in cutting-edge 5G technology, research into them is crucial. The micro strip Patch antenna’s large bandwidth is crucial for meeting 5G requirements. A microstrip patch antenna with an imperfect ground structure is proposed for usage in 5G wireless communication systems in this study. The resonance frequency of this antenna is 5.4 GHz. The whole bandwidth of the suggested antenna is 0.78 GHz.

Analyzing Various Options in Solid Waste Management

Authors- Asst. Prof. Raghvendra Singh Patel, Asst. Prof. Ajeet Mishra

Abstract- Solid waste management is a critical and complex challenge faced by communities worldwide. The ever-increasing generation of waste materials necessitates innovative approaches to minimize environmental impact, ensure public health, and maximize resource recovery. This work provides a concise overview of a comprehensive study that analyzes various options in solid waste management.This research endeavor aims to investigate and evaluate diverse strategies and technologies available for handling solid waste effectively and sustainably. By synthesizing and analyzing data from these various facets of solid waste management, this study aims to provide stakeholders, policymakers, and practitioners with a comprehensive understanding of the options available for sustainable waste management. The findings of this research will contribute to informed decision-making, enabling communities to design and implement waste management strategies that are both environmentally sound and economically viable.

Review on Optimizing Energy Consumption and Communication Overhead in Wireless Sensor Networks (WSN) on different Clustering Techniques

Authors- Dilip Kumar Sharma, Jasmeet Singh Tuteja

Abstract- The field of Wireless Sensor Networks (WSNs) has witnessed significant growth and development over the years, with a focus on enhancing the efficiency of energy consumption and minimizing communication overhead. This review explores the current state of research on optimizing energy consumption and communication overhead in WSNs, with a specific emphasis on various clustering techniques employed for achieving these objectives. Wireless Sensor Networks (WSNs) play a pivotal role in numerous applications, ranging from environmental monitoring to industrial automation. This review critically examines the current landscape of research aimed at enhancing the performance of WSNs by optimizing energy consumption and minimizing communication overhead through diverse clustering techniques. In this paper we, review on optimizing energy consumption and communication overhead in wireless sensor networks on different clustering techniques.

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Significance of Recognizing Mrauk-U as a UNESCO Heritage Site in Myanmar’s Transition from Ethno-State Pursuit

Authors- Susan Mya Çaksın,

Abstract- While the narratives often highlight the privilege of Buddhists in Myanmar, this research unveils a less acknowledged facet of historical neglect. Despite its rich and solid authenticity of Mrauk-U as a significant cultural and architectural heritage site, it has been overlooked in comparison to its more celebrated counterpart, Bagan. The absence of UNESCO’s recognition on Mrauk-U (although it is in tentative list) do not do justice to the challenges and struggles of ethnic groups in Myanmar. This study attempts to explore the nuanced dynamics of recognition on different groups within Myanmar. It seeks to reframe the discourse by highlighting the importance of recognizing in minority heritage places. Unfortunately, many historical sacred sites of other minorities from different faiths are no longer; leaving behind nothing more than traces and ashes. The cultural and historical richness of Mrauk-U within the broader context of Myanma Heritage was studied here in regards to reminiscing the country’s bygone days.

Bee or Wasp Prediction Using CNN Model

Authors- Lokesh Jain, Anand Kumar

Abstract- This research paper presents a deep learning approach for the classification of bee and wasp prediction using Convolutional Neural Networks (CNNs). The study leverages a dataset sourced from Kaggle, focusing on high-quality images of bees and wasps. The proposed model is trained to discern between the two species, contributing to the field of insect classification with potential applications in biodiversity monitoring and pest control. The research incorporates data preprocessing, model development, and extensive evaluations, including real-time predictions from a webcam feed. Results demonstrate the effectiveness of the model in accurately classifying bee and wasp species, showcasing its potential for practical deployment in various ecological and agricultural contexts.

Advancements in Satellite Communication Systems: Enabling Seamless Connectivity in a Hyper Connected World”

Authors- Dr. Satyander Kumar, Dr. Nitika Choudhary

Abstract- – In our increasingly hyper connected world, satellite communication systems play a pivotal role in ensuring seamless connectivity across diverse geographical landscapes. This paper explores the recent advancements in satellite communication technologies that contribute to the enhancement of global connectivity. The focus is on innovations in satellite design, signal processing, and network architectures that address the evolving demands of the modern communication landscape. The paper begins by providing an overview of the current state of satellite communication systems and highlights the challenges faced in achieving reliable and high-performance connectivity. It then delves into the technological breakthroughs that have propelled the field forward, including developments in satellite miniaturization, high-frequency bands utilization, and the integration of advanced signal processing techniques. The impact of emerging technologies such as artificial intelligence, machine learning, and quantum communication on satellite systems. These technologies are shown to enhance the efficiency, security, and adaptability of satellite communication networks, paving the way for a more resilient and intelligent global communication infrastructure. The evolving role of satellite constellations, including low Earth orbit (LEO) constellations, is explored, highlighting their potential to provide low-latency and high-capacity connectivity. Additionally, the paper addresses the environmental considerations associated with satellite deployments, emphasizing the importance of sustainable practices in satellite communication system development. This paper underscores the significance of advancements in satellite communication systems in meeting the connectivity demands of a hyper connected world. The discussed innovations contribute to the development of robust, high-performance, and sustainable satellite networks that play a crucial role in supporting the ever-growing global communication ecosystem. It promises to shape the future of seamless and ubiquitous connectivity, bringing about transformative changes in various industries and societal domains.

Methods for Detecting Unusual Credit Card Fraud Using Machine Learning Techniques: An Analysis

Authors- Research Scholar Ravendra Agrawal, Assistant Professor Pradeep Tripathi

Abstract- – Credit card fraud, an escalating challenge in the digital era, poses significant financial implications for businesses and compromises the security of consumers. Traditional rule-based systems, although effective to a degree, often fall short in detecting sophisticated fraud schemes. This review delves into the applicability and advantages of employing machine learning (ML) techniques, specifically anomaly detection, to mitigate the threat of credit card fraud. Anomaly detection, with its ability to identify unusual patterns in large datasets, offers a more proactive and adaptive approach to fraud prevention. As we navigate through the vast array of literature, it becomes evident that innovations in this domain are burgeoning, from the use of auto encoders, hybrid models, to cutting-edge feature selection methodologies. However, challenges persist, especially in addressing the imbalanced nature of fraud data and the dire need for real-time detection mechanisms. This review culminates in emphasizing the transformative potential of ML-driven anomaly detection, suggesting that its continuous evolution could pave the way for a more secure financial transaction environment in the imminent future.

Design and Analysis of Retaining Wall Structures

Authors- Research scholar Gaurav Kumar Shrawankar, Assistant Professor Sambhav Gangwal

Abstract- – Retaining walls, integral components of civil engineering and landscaping, serve a crucial role in providing stability to uneven terrains and preventing soil erosion. These structures are designed to withstand lateral earth pressures, holding back soil and creating level differences between areas. The primary objective of this research is to comprehensively analyze and optimize the design of a retaining wall using ANSYS. Through systematic evaluation of structural integrity, optimization of design parameters, investigation of failure mechanisms, assessment of displacement and deformation patterns. By leveraging the capabilities of ANSYS, this research seeks to provide valuable insights into the behavior of the retaining wall under various loading conditions, ensuring its resilience and compliance with industry standards for sustainable and effective infrastructure. The numerical solution phase employs Finite Element Analysis (FEA) to calculate displacements, stresses, and critical parameters, providing a nuanced understanding of the wall’s behavior.

Enhancement of Security of Network in Multi Node Environment

Authors- Research Scholar Rakesh Kumar, Associate Professor Dr Krishnandan Prasad

Abstract- – In this paper work done on Local Traffic or Peer to Peer Traffic is concerned with Traffic between Mobile Mesh Clients. It can be inferred that wireless mesh network borrows many characteristics from traditional Ad hoc network. Several research works have been carried out to apply the routing protocols of Ad hoc network to wireless mesh network although these kinds of routing protocols required significant modification to enhance the effectiveness and efficiency to enhance the quality of service. The Ad hoc on-demand routing protocol (AODV), and its extension multi-radio extension (AODV- MR) has been used for hybrid wireless mesh network. However, these kinds of routing protocol have highly routing overhead by broadcasting routing control packets to more than one interface. Thus, it causes unnecessary processing for routing packets, bandwidth utilization, which in turn degrades the overall network performance. The AODV-MR assigns an interface (channel) in a random manner for sending data packets, which is not useful, because of unpredictable changes in wireless channel environment.

Comparative Analysis of Glass and Steel Fiber Reinforcement for Enhanced Compressive Strength in M20 Concrete

Authors- Research Scholar Animesh Kumar Sahu, Assistant Professor Charan Singh Thakur

Abstract- – Self-Compacting Concrete (SCC) has emerged as a game-changing innovation in the realm of concrete technology, redefining the way we approach construction processes. This research investigates the influence of fiber reinforcement on the compressive strength of M20 concrete mixes after a 28-day curing period. Two types of fibers, namely glass and steel, were incorporated into the concrete at varying percentages (0.3% and 0.5%). Compressive strength tests were conducted, and the results revealed a substantial improvement in both load-bearing capacity and stress resistance with the addition of fibers. The study underscores the potential of fiber reinforcement as an effective strategy for enhancing the mechanical properties of M20 concrete, providing valuable insights for the development of more resilient and durable construction materials.

Green Design: Sustainable Landscaping and
Garden Design

Authors- Ruhi Nishat

Abstract- – Green buildings based on sustainable development designs & strategies, basically environment friendly structures that don’t threaten the environment (Bauer et al., 2009). This will also help in minimizing 40 to 50% energy emissions as by creating more and more eco-friendly structures. And that resources and tools used in these buildings can be reused or recycled through different techniques like rainwater harvesting etc.

Fractional Proximity Imputation Based Improved Extreme Learning Machine for Soil Fertility Prediction in Smart Agriculture Farming

Authors- Research Scholar S.Janakiraman, Associate Professor Dr.K.Rajeswari

Abstract- – Machine learning techniques are used for addressing challenges in soil fertility prediction problems in agriculture. The challenges include achieving accurate and timely predictions. To tackle these issues, a new technique called Fractional Proximity Normalized Imputation-based Improved Extreme Learning Machine (FPNI-IELM) is developed for soil fertility prediction with higher accuracy and minimal time consumption. The proposed FPNI-IELM technique consists of three major processes namely data acquisition, preprocessing, and feature engineering. Firstly, IoT devices are employed to collect soil health data for fertility prediction during the data acquisition phase. After data collection, preprocessing is carried out for accurate fertility prediction. In preprocessing, Fractional Gower’s proximity hot deck imputation is used for missing data detection. Subsequently, the maximum normalized residual test is applied for outlier detection. Following preprocessing, feature engineering is performed using the improved extreme learning machine to select significant features from the dataset, using Sokal–Michener’s simple matching to minimize the complexity of accurate soil fertility prediction. Experimental assessment is conducted on factors such as prediction accuracy, error rate, soil fertility prediction time, and space complexity. The quantitative assessment results reveal the effectiveness of the proposed technique, demonstrating higher prediction accuracy, lower error rates, and reduced time and space complexity compared to existing methods.

A Review on Comparative Study of Analysis and Design of a Mezzanine Floor with use of Indian Standard Section and Built-up Section

Authors- Sunil Solanki, Dr. Rajeev Chandak

Abstract- – This review paper provides a comprehensive analysis of the state-of-the-art methodologies and advancements in the field of PEB structures. With a growing emphasis on resilient and sustainable infrastructure, understanding the behaviour of structures under live load, dead loads, earthquakes load and combination are imperative. The review synthesizes key research findings and methodological developments, offering a valuable resourses for engineers, researcher, and practitioners involved in the design and analysis, of PEB structures.

Harmonic Power Flow Analysis in Distribution Systems Considering Stochastic Load Variations

Authors- Muhammad Fatima, A. L. Amoo, G. A. Bakare, D.M. Nazif

Abstract- – The electrical power system is exposed to different types of power quality issues. Assessment of power quality is necessary to ensure accurate operation of sensitive equipments. It also ensures that unnecessary energy losses in a power system are kept at a minimum which lead to more profits. Harmonic Power flow is one of the analytical tools use in the analysis of power quality problems in power systems. In this work, harmonic power flow was implemented on one standard distribution system designated as Ski- Area network comprising 17 buses as the base case. Another dedicated feeder was studied with a 5-bus dedicated radial distribution network installed with a 5 MW linear load and 2000 HP (1.5 MW) nonlinear 6-pulse converter load. Both networks were modeled in harmonic power flow software named, “PCFLO”. The networks data were converted into the software platform compatibility mode: per unit (percent) representation, for various power apparatus and equipment, with the specifications of bus types and transmission lines as recommended. In both cases, the harmonic power flow was run using optimal bus ordering with Gauss-Seidal (GS) start and Newton Raphson (NR) up to 25th harmonic order considering stochastic load scenarios from 1-5MW and 0-1.5MW linear and nonlinear loads respectively. The ski-area results show the pattern of harmonics generated with highest Total harmonic distortion (THDv) and (THDI) obtained as 7% and 147% at bus 12 and feeder 8 respectively. For the 5-bus dedicated distribution network, the (THDv) and (THDI) were obtained as 45.3% and 7.3^% at bus 4, the converter load branch and bus 5 respectively. The simulation results obtained were compared with two distribution networks secondary field measurement data at Abubakar Tafawa Balewa University Bauchi (ATBU) and Universiti Teknologi Malasia (UTM) IEEE 519-2014. Both simulation and measurement data are correlated to be close and nearly fall within Nigerian Electricity Regulatory Commission codes for compliance with Total Harmonic Distortion (THD) limits of 5% and 20% set for voltage and current distortion respectively.

A Review on CFD Analysis of Horizontal Biomass Gasification Reactor

Authors- M.Tech. Scholar Vinay Kumar Gupta, Professor Suresh Kumar Badholiya

Abstract- – With the escalating costs of oil and gas, coupled with the growing energy crisis, there is an increasing demand for environmentally friendly and cost-effective energy solutions. In India, biomass stands out as a viable option among such resources. “As one of the oldest energy sources known to humanity, biomass contributes minimally to the Earth’s carbon dioxide levels, primarily because the majority of biomass undergoes photosynthesis, absorbing carbon dioxide from the atmosphere. When converted into energy, only recently absorbed carbon dioxide is released.” Biomass possesses the advantage of being renewable and having a shorter development time compared to fossil fuels, which take millions of years to form. Various types of biomass, including waste wood chips, agricultural crops, domestic waste, and animal waste, can serve as raw materials for energy production. Consequently, biomass emerges as one of the most promising energy sources. Therefore, this work analysed the review of work being done on horizontal biomass gasification reactors.

Exploring Spectrum Sharing in Cognitive Radio MIMO Networks for 5G Communication: A Comprehensive Survey

Authors- Simran Raj, Divya Rai

Abstract- – The upcoming 5G networks are anticipated to achieve high data rates, reduced latency, improved spectral efficiency, and enhanced system power efficiency. Given the scarcity of available spectrum, efficient utilization becomes a central focus for these next-generation networks. Spectrum sharing emerges as a crucial component with significant potential to meet the aforementioned requirements. This paper presents a comprehensive survey on spectrum sharing for future-generation networks, exploring various methods and techniques that form the basis of a generalized framework. The survey covers topics such as spectrum sensing, network decision-making, channel allocation, energy optimization in spectrum sharing, and associated security issues. The discussion encompasses the entire spectrum sharing scenario, from sensing to security considerations. The integration of modern technologies, including Massive MIMO, SWIPT (Simultaneous Wireless Information and Power Transfer), spectrum harvesting, and spectrum relaying, is incorporated into the framework to optimize energy utilization during spectrum sharing. Additionally, the paper provides a detailed analysis of security attacks relevant to the spectrum sharing context.

Impact Assessment of Microwave Radiations on Enzyme Activity of Groundnut

Authors- Assistant Professor M.S. Patwardhan

Abstract- – Electric field affects biological processes including free radicals, excite the protein activity and enzymes to increase in seed vigour. Electro culture is a promising technology to enhance the growth parameters of crops. Application of electric field is possible using AC/DC supply, radio waves, magnetic field, microwave and electrostatic field. Due to adoption of these methods, the seed treatments can be done and latter standard conventional procedure for plantation can be used. Ultimately these treatments will be the part of seed processing only. Such practices improve seed germination. Additionally such treatments were found more effective for old seeds. The use of physical methods for plant growth stimulations is more attractive due to less damaging effect on environment. In this regard, a study was planned to verify the impact of microwave treatment on germination as well as enzyme activity on groundnut. Microwave fields are a form of electromagnetic energy; its interaction with charged particles and polar molecules leads to their agitation in the form of heat. Biological material placed in such radiation absorbed an amount of energy which depends on the dielectric characteristics of the material. Three power levels as 100%, 80 % and 60% with 10 sec., 20 sec. and 30 sec. intervals were selected based on filler trials. All seed lots were taken with three replications for statistical point of view. Thus in all thirty samples were analyzed. The treatment P2T3 i.e. 80% power level with 30 sec duration was found effective on the basis of trials conducted. The nutritional impact was also noticed. The improvement of seed balance resulted in faster growth along with increased germination count.

Volumetric, Viscometric Studies of the Interaction of Glycine with the Premicellar Region of Cetyltrimethylammonium Bromide (CTAB) in Aqueous Solution

Authors- Assistant Professor Nandlal

Abstract- – Interaction among the amino acids and surfactant was explored utilizing density data and density for computing the partial molar volume which is also called as limiting molar volume 0v and apparent molar volume, v, to figure out the solute-solvent interaction between surfactant and amino acids.

A review on Managing Manufacturing Flexibility for Productivity in Engineering Industry

Authors- M.Tech. Scholar Vikas Kumar Suman, Professor Shyam Kumar Barode

Abstract- -This paper presents a meticulous review of the strategies and methodologies employed in managing manufacturing flexibility to optimize productivity within the engineering industry. Manufacturing flexibility is a pivotal concept in contemporary industrial settings, enabling organizations to adapt to dynamic market demands, technological advancements, and unforeseen disruptions. The purpose of this review is to analyze existing literature and empirical studies to distill key insights and trends that contribute to successful implementation of manufacturing flexibility in engineering operations. The review begins by defining and contextualizing manufacturing flexibility, delineating its various dimensions such as product, process, and volume flexibility. It subsequently delves into the factors influencing the need for flexibility in the engineering sector, including market volatility, customer expectations, and technological evolution. Special emphasis is placed on the role of Industry 4.0 technologies in enhancing manufacturing flexibility, including the integration of IoT, AI, and data analytics.

A Problem Formulation of Quadratic Programming Problem with Respect to Linear Programming Model

Authors- Research Scholar Anil Raj, Research Scholar Rakesh Kumar, Research Scholar Prakash Kumar, Associate Professor Dr. Krishandan Prasad

Abstract- -Quadratic Programming is a mathematical modelling to optimization usage of limit resource and apply to solve our major life problem. Conventional quadratic programming model is not reasonable to require that the constraints or the objective function in quadratic programming problems, in case a linear objective function is also formulate from the set of linear equation and complementarity slackness condition. The convex quadratic programming problem with mixed constraints, which has important application in mechanics and engineering science.

Push Up Counter – IoT in Fitness

Authors- Pranjali Bharat Ahire, Neha Prakash Suryawanshi, Gauri Dhananjay Dugane, Radhika Gore

Abstract- -The project leverages sensors, microcontrollers, and wireless communication protocols to accurately and automatically count push-up repetitions in real time. This system aims to address the limitations of conventional manual counting methods, which are often prone to inaccuracies and subjectivity. The power of IoT technology, this project sets a foundation for future innovations in the field of smart fitness applications, encouraging healthier lifestyles and improved physical well-being.

Optimizing Induction Motor Speed: A Comprehensive Review of P, PI, and PID Controllers

Authors- M. Tech. Scholar Sheesh Ram, Asst. Prof. Prateek Tiwari, Prof. Dr. Pramod Sharma

Abstract- -This paper presents a comprehensive review of Proportional (P), Proportional-Integral (PI), and Proportional-Integral-Derivative (PID) controllers in the context of regulating the speed of induction motors. Acknowledging the critical importance of precise speed control in industrial applications, the paper defines and explains each controller type, outlining their fundamental principles and characteristics. Through an exploration of different speed control techniques and a focus on closed-loop systems, the review emphasizes the role of controllers in achieving optimal performance. Real-world applications and case studies illustrate the practical implementation of P, PI, and PID controllers, providing insights into their effectiveness in various scenarios. A comparative analysis evaluates the performance of these controllers, considering factors such as stability, response time, and steady-state error. The paper aims to identify appropriate selection criteria, assisting practitioners in making informed decisions based on specific application requirements. Furthermore, the review addresses challenges in the field of induction motor speed control and proposes potential avenues for future research and development. By synthesizing existing knowledge and providing a comprehensive analysis, this paper contributes valuable insights to the understanding of motor control systems and aids researchers, engineers, and practitioners in advancing the efficiency and precision of induction motor speed regulation.

Demo Model in Smart Home Application Design

Authors- Nguyen Tai Tuyen, Nguyen Dinh Thanh

Abstract- -This page introduces a demo model in designing an application for a smart home. In the smart home, appliances and amenities can be remotely controlled through mobile devices and computers connected to the Internet. The authors’ team used the ESP32 module, gas sensors, fire sensors, sound sensors, light sensors, temperature and humidity sensors, and the Arduino development tool to create the demo model. The model includes steps of program installation, smart home model design, installation, and testing of the demo model. The smart home model is connected with the Blynk application, allowing users to control the system through a smartphone. Various sensor systems are used to control security, monitoring, alerts, temperature adjustment, lighting system control, and surveillance camera systems. The model has been tested and works with full functions, collecting environmental information thanks to sensors and then processed before being sent to Blynk’s server before being transferred to the user’s handheld device.

Some Anisotropic Fluid Spheres in General Relativity

Authors- Research Scholar Mahendra Kumar, Associate Professor Dr. Manish Kumar

Abstract- -In this paper we have obtained exact analytical solution of Einstein’s field equation for static anisotropic fluid sphere by assuming that space time is conformally flat. In first case a suitable form of energy density ‘ρ’ has been taken and in second model a judicious choice of metric function has been used both models are physically realistic and free from singularities. we have also calculated energy density ‘ρ’, radial and tangential pressures for both the models. 2t is found that densities for these models drop continuously from their maximum values at the centre to the values which are positive at the boundary.

Investigating the Effect of Riser Diameter on Slug Flow Patterns in a Deep-water Pipeline

Authors- Nyelebuchi Amadichuku, Abu Robin, Ejilemele Chimenem Bobby

Abstract- -Previous studies on severe slugging have provided significant understanding on the behaviour of severe slug flow in pipeline-riser system, however, only few studies exist on the impact of riser internal diameter. Therefore, this work will investigate the impact of different sizes of riser on slug flow pattern in deep-water system. Multiflash and OLGA were used in this study and Multiflash utilized as a fluid property modelling tool for the generation of PVT file into OLGA model. A base case model with a riser ID of 3.826-inch was built in OLGA and slug variables (surge liquid volume, accumulated liquid volume, pressure at the riser base ) were track at the end of the simulation run time. Sensitivity analysis was carried out on riser ID of 3.826-inch, 4.813-inch, and 5.671-inch. Result shows that the pressure at the riser base for 3.826-inch riser ID was higher than that of 4.813-inch. At the end time, 446.581bbl, 446.193bbl, and 446.104bbl of liquids were present at the outlet of the pipeline-riser system for the 3.826-inch, 4.813-inch, and 5.671-inch riser diameter. For the 5.761-inch riser ID, the surge liquid volume was fluctuating between 0.92704bbl and 0bbl. For the 3.826-inch riser ID, the surge liquid volume oscillates for a period of 0.199hrs before declining uniformly to 0.0222bbl after 2hrs, while for the 4.813-inch riser ID, the surge liquid volume oscillates for a period of 1.033hrs before declining to 0.0000303bbl after 2hrs .It was concluded that the system should be design with a riser ID of 4.816-inch since it gave the most stable liquid flow and lower riser base pressure.

Development of In-house DSM Management System

Authors- Irfan Ahmed, Vikash Roy, Vinoth Ganapathi

Abstract- -This paper presents the development of an in-house DSM (Deviation Settlement Mechanism) Management System designed to achieve live tracking of deviation data and ensure compliance with the updated regulations outlined by the Central Electricity Regulatory Commission for DSM. The project addresses inherent limitations in the existing Excel and PI-based systems, offering a more sophisticated and dynamic solution. Leveraging Python programming, the new system promises a robust platform for real-time monitoring of essential DSM data. Beyond enhancing efficiency, the system places a strong emphasis on cyber security by actively reducing vulnerabilities to potential cyber-attacks. Moreover, it aligns with the dynamic nature of regulatory requirements, ensuring adaptability to evolving standards in the energy sector. This innovative approach not only signifies technological advancement but also underscores a commitment to optimal energy management practices within the framework of evolving regulatory landscapes.

Simulation of an Electric Vehicle (EV) Battery Management System (BMS) with State-of-Charge (SoC) Estimation and Thermal Management

Authors- Scholar Kapil Mudgal, Associate Professor Dr. Ashwani Tapde

Abstract- -Energy storage is one of the biggest challenges to be solved in the energy sector. It aims to represent an important s3c3cdolution for largescale access to renewable energy on the grid and the decarbonization of transport.In this study, an indepth literature review reveals the principles, different chemistries and properties of secondary batteries, with a special focus on lithium batteries. The subject of this article includes testing the maximum capacity and voltage of the 4.2V lithiumion battery. Comparison with different simulated battery models. Test results provide the battery charge and discharge voltage as well as the state of charge curve as a function of open circuit voltage. Battery efficiency is rated at 89.836%. According to the test results, three different battery models were proposed and used in MatlabSimulink: simple model, zero hysteresis model and combined model. The offline SoC estimation method of the least squares estimator (LSE) was used in all cases to obtain the unsuitable model for running the simulations.Simple model simulations willing to reproduce battery behavior. The energy efficiency calculated by this model is slightly higher than the actual value: 91.279%, and the root mean square error (RMSE) between the measured voltage and the standard voltage is 0.215V.Zero hysteresis model simulations give the same results as thesimple model, with 91.278% power efficiency and 0.228 V RMSE.The hybrid model is the most accurate of the tests. However, this model cannot reproduce the battery behavior in a very low state. The efficiency of the cell model is 89.989% and RMSE is 0.1879 V.

Adapting Laboratory Teaching in Chemistry: Evolution Amidst the COVID-19 Era and Beyond

Authors- Assistant Professor K S Patil

Abstract- -The COVID-19 pandemic has necessitated significant adaptations in educational practices, particularly in laboratory teaching within the field of chemistry. This research article explores the evolution of laboratory teaching methodologies during the pandemic and examines their implications for the future of chemistry education. Drawing upon a comprehensive review of literature, this study analyses the challenges encountered, innovative solutions implemented, and the resultant impact on student learning outcomes. Furthermore, it investigates the integration of technology, remote experimentation, and virtual simulations as alternative approaches to traditional laboratory experiences. Insights gleaned from this investigation shed light on the broader transformations occurring in science education and provide valuable guidance for educators navigating the post-pandemic landscape.

Stakeholders’ Perception on Eco-Friendly Strategies and Materials for Resort Buildings in Diko, Nigeria

Authors- Zhiri G.H., Akande, O.K., Tsado S.B.

Abstract- -One of the attractive parts of eco-friendly built environments is the serenity that they add to the pleasure in the relationship between humanity and nature. Achieving this result and much more is associated with eco-friendly buildings adopting both design strategies and building materials that are both directly and indirectly harmless to the ecosystem. It is the aim of this research to evaluate the opinion of the stakeholders of resort buildings concerning the application of both strategies and materials in making resort buildings in Diko Eco-Friendly. This was done by comparing the results of a questionnaire administered to holiday resort stakeholders and observations made at existing resorts in the study area. The Mann-Whitney U Test and Likert scale were used to analyse the data in this study with the aid of SPSS and MS-Excel. It was found that the use of eco-friendly strategies and materials together in the study area is not prevalent, and this could be traced to the awareness of the stakeholders of this phenomenon. It is recommended that the relationship and the responsiveness of the stakeholders be considered in every resort building by design. This research would help guide building designers and landscape specialists in enhancing ecology and environmental sustainability in resort design in Northern Nigeria.

Evaluation of Well Production Performance for Different Gas Injection Rate during Continuous Gas Lifting

Authors- Nyelebuchi Amadichuku, Ugwunna Dickson Amadi, Abu Robin, Nukwadenbari Christian

Abstract- -In this work, well production performance was evaluated for continuous gas lift operation at different gas injection rate. Two wellbore models were developed, a base case model without any artificial gas lift system and another with continuous gas lift systems. Field data on the well, fluid properties, reservoir data were obtained and simulate to compare the performance of the well before and after the installation of gas lift system. The well performance was initially evaluated at the completion without gas lift system, followed by the installation of gas lift system and running sensitivity analysis. Results reveals that the reservoir delivers 15709.3STB/day of liquid into the wellbore when the pressure drawdown is maximum. For the base case model without gas lift system, results shows that the well was not producing since there was no intersection between the inflow and outflow performance curves. On the basis of the design rate of 4 MMscf/day, the well will produce 6232.54STB/day of liquid. As the injection rate increases from 3MMscf/day to 6MMscf/day, the rate of liquid volume increase falls off and a maximum possible liquid rate of 6502.29STB/day was obtained. Results clearly indicated an optimum gas lift injection rate of 7.5MMscf/day. The installed gas lift system has proven to be effective in increasing production rate from the well, therefore it should be implemented for maximum performance of the well and an optimum gas lift gas rate should be injected since high gas lift injection rate tends to increase the frictional pressure losses.

An Assessment of Machine Learning Method for Restoring Images

Authors- Research Scholar Ankit Soni, Assistant Professor Pradeep Tripathi

Abstract- -Image restoration has various uses in modern life. In image processing, “image restoration” is crucial. Restoring a warped image is called image restoration. Picture restoration calculates noise and blur to improve picture quality. It’s crucial to know how an image was distorted or destroyed while attempting to restore it. It is crucial to identify the kind of noise and blurring process that generates a picture. Having prior knowledge about a photograph is vital for image restoration. Due to atmospheric and environmental factors, the image must be restored utilizing various image restoration methods. numerous variables may cause noise in a photo, and numerous blur models can cause fuzzy photographs. Image restoration estimates sound and blur in a picture. Various image processing methods are needed to restore a picture’s quality after atmospheric and environmental damage. Modern image restoration is common. Radar technology can acquire and restore photographs and restore museum objects. This article summarizes current photo restoration techniques. The suggested approach demonstrates frequency, PSNR (dB), MSE, and SSIM in Kodak24, CBSD68, Urban 100, and LIVE datasets. Short PSNR: 27.24, 29.38, 30.04, 30.91. Kodak24, CBSD68, Urban 100, LIVE datasets have MSE 367.56, 224.88, 193.1, 158.02 and SSIM 0.8690, 0.9337, 0.9432, 0.8008.

A Implementation of Highways Traffic Sound Barrier and Analysis of Solid Metallic Modular Panels

Authors- Wasim Qureshi, Professor Vinay W. Deulkar

Abstract- -Noise is continuously treated as an annoyance to humans and indeed commotion contamination shows up within the environment, causing inconvenience. This is likewise interesting to the engineering tactic that inclines to develop this noise proliferation. The basics of the sound retaining proliferation, sound-absorbing properties, and its variables were rarely considered by previous researchers. Thus, the acoustic performance and sound insulation of constructions have gained significance over the last five decades due to the trend for accommodating inner-city flat and multi-story residential building condominiums. Due to this dilemma, the proliferation of high-driven entertaining schemes has engaged extraordinary demands on building for its acoustic performance. Yet, construction industries worldwide have started to mainly use sound-absorbing concrete to reduce the frequency of sounds in opened-and-closed areas and increase sound insulation. As reported, the concrete acoustic properties generally rely on its density, exhibiting that the lighter ones, such as cellular concrete, will absorb more sound than high-density concretes. However, this paper has an objective to afford a wide-ranging review of sound-absorbing acoustic concretes, including the measurement techniques and insulation characteristics of building materials and the sound absorption properties of construction materials. It is also intended to extensively review to provide insights into the possible use of a typical sound-absorbing acoustic concrete in today’s building industry to enhance housing occupants’ efficiency, comfort, well-being, and safety.

Matlab Fuzzy Logic Based and Predictive (Radial Basis Function, RBF) HVAC Controllers

Authors- Manmohan Wadia, Assistant Professor Khemraj Bairagi

Abstract- -The use of fuzzy logic controllers in refrigeration and air conditioning systems, RACs, has as main objective to maintain certain thermal and comfort conditions. In this sense, fuzzy controllers have proven to be a viable option for use in RACs due to their ease of implementation and their ability to integrate with other control systems and control improvements, as well as their ability to achieve potential energy savings. In this document, we present a review of the application of fuzzy controls in RACs based on vapor compression technology. Application information is discussed for each type of controller, according to its application in chillers, air conditioning systems, refrigerators, and heat pumps. In addition, this review provides detailed information on controller design, focusing on the potential to achieve energy savings; this design discusses input and output variables, number and type of membership functions, and inference rules. The future perspectives on the use of fuzzy control systems applied to RACs are shown as well. In other words, the information in this document is intended to serve as a guide for the creation of controller designs to be applied to RACs.

Review on Experimental Study of Self Compacting Concrete with Plastic Fibre

Authors- Rohan Chouhan, Assistant Professor Nishant Singh Kushwaha

Abstract- -In this work, self-compacting concrete (SCC), which can be created with a variety of fibres and mineral additives, is reviewed. Due to the demand for building massive, complicated structures, the current state of the construction industry frequently results in challenging conditions for concreting. It can be challenging to ensure that a reinforced concrete (RC) part is thoroughly compacted and free of voids or honeycombs when placing a significant amount of heavy reinforcement. Compaction with mechanical or manual vibrators is quite challenging in this scenario. As a result, self-compacting concrete (SCC), a new type of concrete, is created. This type of concrete immediately seeps into the form work’s cracks and circles the reinforcing. Self-compacting concrete is defined as concrete that can self-compress only by its own weight without the requirement for vibration. Other names for self-compacting concrete include Self-consolidating Concrete and Self Compacting High Performance Concrete. It is highly fluid, able to pass around obstacles and fill all crevices without running the risk of mortar or other concrete ingredients separating away, and there are no pockets of trapped air or rock. Because it doesn’t need to be compacted, this type of concrete mixture is more time, effort, and energy efficient. This review study highlights the role that fibres and various mineral admixtures have in the self compacting concrete’s qualities. Keywords: SCC, Mix Design, Mineral Admixtures, Fibers, Durability, VMA, Workability.

Process Automation in Naval Shipbuilding 4.0

Authors- Nitin Modi

Abstract- -Shipbuilding is complex process which infuses various departments to come together and work in tandem to launch a ship. Activities like installation of heavy engineering equipments, joining of blocks and laying out of cables & pipelines within the guidelines of Quality Assurance Plan (QAP) demands robust supply chain management & meticulous planning. Shipbuilding often requires intensive experimentation and near-concurrent design, testing and production of some components. It combines construction with manufacturing & short run production with the most advanced technology. The life of a warship is measured in decades, with through-life sustainment and technology upgrades costs typically being triple the value of the initial build. These factors are assigning new roles of special importance to digital technologies, requiring concerted effort to overcome impediments and effect positive change. Tools provided by Industry 4.0 automates the sequencing & tracking activity of equipments, identifying the bottlenecks in Overall Build Plan (OBP) and issuing alerts when forecasted Project Cost is above budgeted Project Cost. From the array of Industry 4.0 technologies, those most relevant and powerful in shipbuilding are: robotics, additive manufacturing, augmented and virtual reality, and the digital shipyard. These technologies deliver benefits specifically sought by shipbuilding from optimization and rapidity during production, to single batch production, to ability to negotiate small spaces in production and maintenance, to smart components using sensors to provide real-time monitoring (in turn allowing for control and condition monitoring of equipment to enable predictive maintenance), to real-time data and analytics, to process automation, to non-destructive testing of equipment, to process simulation to model factory logistics or component behaviour and performance, and so on. In this paper, tools used to increase productivity and benchmarks such as lean processes, scaling up of project & development of strategic alliances which will enhance productivity are being discussed.

Supervised Ensemble Approaches in the Detection of Fake Social Media Reviews

Authors- Nelson Barasa Wekesa, Dr. Kennedy O. Ogada, Dr. Tobias Mwalili

Abstract- -Users often post reviews during or after interacting with a service or product. Most online users use social media to post their reviews. Social media are interactive user-generated content applications accessible online. Consequently, some social media applications or disgruntled employees mimic real product(s) or service(s) users by posting fake reviews. It is imperative to distinguish real reviews from fake reviews as it influences a customer’s ability to buy or use a product or service. In this paper, detection of fake reviews is possible using ensemble classifiers developed using ensemble modelling techniques. Three (3) ensemble classifiers namely, Ensemble Random Forest Classifier (Erfc), Ensemble Bagging Classifier (Ebc), and Ensemble Extra Tree Classifier (Extc), demonstrated impressive performance scores of seventy-one percent (71%), seventy percent (70%) and sixty-six percent (66%) respectively.

Appraisal of New Technology in Sustainable Mechanized Agriculture Present Aspect and Future Concerns

Authors- Adeleye Samson Adedayo, Akindele David Ojo, Bello Oluwaseyi Olawale

Abstract- -The increasing demand for food production to sustain a growing global population has prompted a paradigm shift in agriculture, with a focus on sustainability and efficiency. This research investigates the current state and future implications of integrating new technologies into sustainable agricultural practices. The questionnaire, designed to capture a broad spectrum of opinions and experiences, explores the adoption and impact of innovative technologies such as precision agriculture, agro informatics, and smart farming. Respondents, including farmers, provide critical perspectives on the efficacy of these technologies in optimizing resource use, mitigating environmental impact, and enhancing overall agricultural productivity. Looking towards the future, the research extrapolates trends and potential scenarios for the evolution of technology in sustainable agriculture. The role of emerging technologies such as biotechnology, robotics, and regenerative farming practices is explored, emphasizing the need for proactive measures to address evolving challenges and harness opportunities. This investigation contributes valuable data to the ongoing discourse on sustainable agriculture, offering a nuanced understanding of current perspectives and future concerns surrounding the integration of new technologies. The outcomes aim to inform policymakers, researchers, and industry stakeholders in crafting strategic pathways for the widespread and equitable adoption of innovative technologies in agriculture.

2-D ECG Spectral Imaging: A New Approach to Arrhythmia Detection

Authors- Shubham Shakyawal, Moksh Rajput, Nikhil Raj

Abstract- -Electro cardiogram (ECG) monitoring is critical for detecting heart arrhythmias associated with cardiovascular diseases. This report focuses on an image-based ECG heartbeat classification methodology for detecting arrhythmias by using deep convolutional neural networks (CNNs). The model processes grayscale ECG image inputs and classifies them into one of seven categories mentioned- normal or one of six arrhythmia types. A web application was developed to perform as an interface between the model and the user, allowing users to upload ECG images and receive a prediction. The report describes the end-to-end model development process including dataset preprocessing, CNN architecture design, model training and evaluation. Training approaches were explored on a local machine. Comparable performance was achieved demonstrating 96% prediction accuracy. Overall, the developed methodology showcases an effective computer aided arrhythmia detection system using deep learning and ECG imaging. Such artificial intelligence methods can play a vital role in early diagnosis, leading to timely precautionary checkups for a particular disease. Further optimizations of the model could elevate performance even higher to benefit real-world cardiology based disease and treatment.

DOI: /10.61463/ijset.vol.12.issue1.113

CO-PO Mapping and Attainment Using AIML and Data Analysis

Authors- Assistant Professor Mrs. Sowmya S R, Bhagirathi, Harshitha Jain S D, Janhavi M, Keerthi C

Abstract- -The document outlines the methodology employed for assessing Course Outcome (CO) achievement in the diploma engineering course “Computer Networking (CNE-17429).” It centers on Outcome-Based Education (OBE), emphasizing the alignment between Program Outcomes (POs) and COs. With a student-centered approach, it utilizes exam data to gauge CO attainment within the context of a second-year diploma program in computer science and engineering. Emphasizing the importance of assessing students’ abilities and learning outcomes, the paper highlights how defining Graduate Attributes facilitates direct measurement of POs through COs. The strategy involves mapping exam components to specific COs and employing a two-step weighting mechanism based on course nature to measure POs using COs. Moreover, the paper proposes a quantitative approach to measure POs and COs through lab sessions, using Continuous Evaluation Sheets and Lab Internal Assessment Tests. It highlights the shift in engineering education from traditional measures like CGPA to emphasizing student transformation through OBE, employing methodologies like Bloom’s Taxonomy for alignment and providing methods for calculating outcomes. Ultimately, the utilization of these assessment methodologies alongside systematic review and corrective action significantly impacts institutional goal achievement and student performance within an OBE framework.

A Novel Approach for Acrimonious Attack and Violence Detection Using AI and Edge Devices

Authors- Siva Kumar Nagi, Yeruva Maheswara Reddy

Abstract- -With the rapid growth and development of the application of artificial intelligence systems. Acrimonious attacks and violence detection are hot topics of this application nowadays. An acrimonious attack and violence detection are related to a criminal attack or something happening between two people or a criminal activity. In traditional methods, humans detect violence and attacks using a surveillance system, but methods and processes are changing with the growing development phase in intelligence systems. In this paper, a novel approach has been proposed, Image to Image stable diffusion for creating the synthetic data and pose estimation and object detecting approach is detecting the attacks on the victims, where one stage YOLO V5 object detector is being used for violent object detection, objects like baseball bats, knives, and pistols and MediaPipe for action detection. Further, LSTM classifies the action attacks with violent objects. Now Edge device ensemble with a dash camera and the whole proposed model are deployed in the device. Moreover, this study holds potential for ensuring precise detection of violent incidents. It introduces a robust system that attains remarkable accuracy, with an overall model precision of 94.0%. The results showcase the model’s improved ability to precisely detect violent objects, especially in effectively identifying violence through the implemented detection algorithm.

DOI: /10.61463/ijset.vol.12.issue1.111

A Comparative Study of Diabetic Level Measurements Using Glucometer, Semi-Auto Analyzer and Auto-Analyzer

Authors- Dr. S. Uma

Abstract- -Diabetes Mellitus (DM) is a non- communicable disease and most common metabolic disorder reaching epidemic proportions globally. The early diagnosis and management helps in reducing the complications of the disease. Hyperglycemia is dangerous but hypoglycemia is fatal. The treatment for both hyperglycemia and hypoglycemia is different but timely management saves the life of the patient. Nowadays, it is very common of using glucometers in homes for knowing the blood glucose level. The present study is an attempt to explore any difference in the readings obtained from glucometer, semi-auto and auto analyzer. The study included 60 diabetes mellitus patients. Blood samples are collected and processed in Sarah Clinical and Bioresearch Laboratory, Thirupathur, Tamilnadu. The blood glucose levels are estimated by Glucose Oxidase – Peroxidase method in both the auto analyzer and semi auto analyzer. Simultaneously, one drop of venous blood will be placed on the strip of the glucometer (GLUCOLAB) which measures the glucose level by electrochemical sensor method. The data were analyzed and expressed as mean ± standard deviation. From the results we conclude that blood glucose level measured in glucometer observed to be higher when compared to auto analyser and semiauto analyser. It is concluded that, only in emergency situations glucometer play an important role compared to semi-auto and auto analyzer.

Electronic Health Records: A Review

Authors- Assistant professor Shital.J.Patil, Shubham.B.Tarle, Sapana.K.Sonawane, Om.V.Inamke

Abstract- -The main aim of this review is to learn electronic health records (EHR) which hold great promise for managing patient information in ways that improve healthcare delivery. Physicians differ, however, in their use of this health information technology (IT), and these differences are not well understood. The authors study the differences in individual physicians’ EHR use patterns and identify perceptions of uncertainty as an important new variable in understanding EHR use.

Pupils’ Reading Skills in the New Normal: Basis for District-Wide English Reading Program (DWERP)

Authors- Elmera Cordero-Silorio

Abstract- -This study aimed to determine the reading proficiency of Grade 6 pupils in terms of their reading skills. A descriptive research design using survey technique and standardized questionnaire was utilized. The study covered the 131 Grade 6 pupils enrolled in Mabinay Central School/Special Education with Special Science Class, Mabinay District III, in the Division of Negros Oriental during the third quarter of the School Year 2022-2023. Findings revealed that there is no significant difference in the reading proficiency between male and female participants, however, there is a highly significant difference in the pupils’ reading proficiency when grouped in terms of parents’ educational attainment. Furthermore, there is a highly significant difference on the reading proficiency between pupils who have available online/internet sources than those without. It gave way to deal with the reading skills of the pupils identified as not proficient that requires desirable intervention program.

Designing a Smart Home Energy Monitoring System with Machine Learning

Authors- Amatur Rafea Javariya, Harsh Lohiya

Abstract- -A smart home energy monitoring system based on machine learning and embedded technology is presented to address the shortcomings of the current system in terms of autonomous adaptation. After gathering sensor data via a gateway, the system learns and recognises user activity with machine learning algorithms and a cloud computing platform running Hadoop to enable autonomous decision-making. It is evident from the case analysis that the approach significantly enhances the smart home system’s humanization of the smart home system.

Performance Improvement and Energy Saving Based on Visitor Count

Authors- Dondla Srutha Keerthi, Danthinapalli Jaisai Vardhan, Ettedi Vedaujwala, Associate Prof. E. Suneetha, Asst. Prof. Boddupally Saidulu

Abstract- -This project presents the design and construction of a digital bidirectional visitor counter with automatic room light controller. The bidirectional visitor counter is a reliable circuit that takes over the task of counting number of persons/visitors in the room very accurately and turn ON the room light when there is at least a person in the room; otherwise, the light goes off. When somebody enters the room then the counter is incremented by one (+1) and when any one leaves the room, the counter is decremented by one (-1). The total number of persons inside the room is displayed on the LCD (Liquid Crystal Display).The Arduino Uno is used for detecting an entry or exit action and computing the figures (addition and subtraction) to acquire accurate results. It receives the signals from the sensors, and this signal is operated under the control of embedded programming code which is stored in ROM of the Arduino Uno. A sensor is placed at the entry while the other is placed at the exit. However, this design can as well work for a single door. The Arduino Uno continuously monitors the sensors. When any object pass through the sensors, the rays falling on it are obstructed. This obstruction is sensed by the Arduino Uno board, computed and displayed on a16x2 LCD screen.

Design and Simulation of UPFC Power System Fact Device Grid with Power Quality Improvement

Authors- AP Singh, Assistant Professor Raghunandan Singh Baghel

Abstract- -A flexible AC transmission system (FACTS) device called Unified Power Flow Controller (UPFC) can adjust the voltage, phase angle and impedance of a transmission line to regulate the flow of real and reactive power. This paper shows how to design and simulate UPFC using amplifiers and rectifiers in MATLAB/SIMULINK. It also evaluates the impact of UPFC on the power quality and stability of a transmission line using data from GNDEC, Ludhiana. The results indicate that UPFC can improve the power flow capacity and ensure power continuity in the power system. The paper also contrasts the results with a reference system without UPFC to prove its effectiveness.

Observation and Identification of Islanding Phenomenon PV Connected Single DC Link

Authors- Jitendra Singh Solanki, Assistant Professor Raghunandan Singh Baghel

Abstract- -One of the main challenges of integrating distributed generation into the power grid is islanding, which occurs when a part of the electrical power system is disconnected from the rest of the grid and is still energized by a DG unit. If islanding is not quickly detected, it can present serious safety and hazardous conditions. Conventional passive detection techniques used today are entirely dependent on the parameters of the power system, which under certain operating conditions may fail to detect islanding. In this paper, a passive islanding detection technique for grid-connected photovoltaic-based inverters is presented. The proposed technique utilizes the converter-induced ripples in the instantaneous voltage amplitude at the point of common coupling to detect islanding. The performance of this technique was extensively tested and quantified under a wide range of operating conditions. The results are presented in this paper using Matlab/simulink).

Load Flow Analysis and Power Loss Minimization in 33 Bus Power Distribution System

Authors- Sanjay Bhuriya, Assistant Professor Raghunandan Singh Baghel

Abstract- -Optimal power flow analysis has been rapidly developing from last five decades and has gained an extreme importance in modern power system economics and operation. Traditionally, it is widely used for economic load dispatch and various methods are available in literature to solve these problems. These methods generally need conventional load flow to be carried out at the beginning for solving the optimal load flow equations. The proposed method directly calculates unknowns in power system without doing conventional iterative load flow analysis. In this paper, minimization of power loss in transmission lines is taken as objective function while maintaining active and reactive power balance and voltage limits using Lagrange nonlinear optimization approach. The solution determines bus voltage magnitudes and angles such that objective is attained while satisfying equality and inequality constraints.

Simulation of Power Steady State Control, Maximum Power Utilization and Compensation in Novel Power Grid Distribution System

Authors- Rahul Dev Shakywar, Assistant Professor Raghunandan Singh Baghel

Abstract- -The dynamic model of the proposed system is first elaborated in the stationary reference frame and then transformed into the synchronous orthogonal reference frame. The transformed variables are used in control of the voltage source converter as the heart of the interfacing system between DG resources and utility grid. By setting an appropriate compensation current references from the sensed load currents in control circuit loop of DG, the active, reactive, and harmonic load current components will be compensated with fast dynamic response, thereby achieving sinusoidal grid currents in phase with load voltages, while required power of the load is more than the maximum injected power of the DG to the grid. In addition, the proposed control method of this paper does not need a phase-locked loop in control circuit and has fast dynamic response in providing active and reactive power components of the grid-connected loads.

Implementation of Solar Connected Electric Vehicle System

Authors- Ajeet Khoteak, Assistant Professor Raghunandan Singh Baghel

Abstract- -To charge the vehicle we need charging stations. To overcome from these types of problems we need to improve the range of electric vehicle by using better performance motor which runs on low power and which gives maximum performance. So in this project we compare the different motors to analyses the performance of motors. MATLAB-SIMULINK is used to create and simulate a mathematical model of a field oriented controlled Permanent Magnet motor driving system. Today, the use of Permanent Magnet Synchronous Motors (PMSM) is expanding in various sectors (particularly in the machine tool industry) due to their smaller size, lighter weight, and lower rotor loss when compared to induction motors of same capacity.

Survey Paper on Challenges and Solutions in Healthcare Supply Chain Management

Authors- Ayan Shaikh, Amey Sawalkar, Gaurav Shelke, Kartik Shewale, Dr. Prashant Ahire

Abstract- -The healthcare industry faces unique challenges in managing the complex and critical supply chain of pharmaceutical products. This survey paper explores innovative approaches and technologies employed to enhance supply chain management, with a primary focus on the integration of blockchain technology. The surveyed literature encompasses diverse methodologies, including securely storing data, implementing QR codes, leveraging big data analytics, employing RFID technology, and ensuring the integrity of pharmaceutical products, especially critical in the distribution of COVID-19 vaccines. Through an in-depth analysis of these methods, this paper aims to provide a comprehensive overview of the current landscape, shedding light on the advancements, challenges, and potential future directions in healthcare supply chain management.

Improving Productivity in Flexible Manufacturing System

Authors- M.Tech Scholar Satyam Tripathi, Professor Dr. Ashutosh Dwivedi

Abstract- -With rapid increasing of demand in production, industrial factories need to increase their potentials in production and effectiveness to compete against their market rivals. At the same time, the production process needs to be equipped with the ability to have lower cost with higher effectiveness. Therefore, the way to solve the problem about the production is very important. There are many ways i.e. quality control, total quality management, standard time, plant layout to solve the problems concerning productivity. Companies which currently intend to remain competitive should always seek improvements to achieve excellence in quality through the improvement of its processes and products, and also always target the reduction of production costs by improving production efficiency and rationalization of production resources. Thus, the development of production makes that organizations have to evolve and develop organizational and operational improvements, constantly reviewing procedures and management approach as well as the processes and products in an attempt to tailor them to the needs of market.

Economic Implications of Converting Petrol Based Cars to Natural Gas Based Cars

Authors- Ikechi Igwe, Nyelebuchi Amadichuku, Victor Sebastian Ibanga, Uchechi Alerechi

Abstract- -This research investigates the economic consequences of transitioning from petrol-based vehicles to natural gas vehicles, offering insights for individuals, policymakers, and researchers. A robust regression analysis demonstrates a significant correlation between fuel price differences and cost savings, with an impressive R-squared value of 0.965. The results suggest substantial savings in converting to natural gas vehicles, particularly with increasing fuel price differences. However, the relationship between fuel price difference and recovery time is intricate, indicating the impact of factors like maintenance costs and market conditions. External elements such as fluctuating fuel prices and government incentives should also be taken into account. The study underscores the importance of conducting personalized cost-benefit analyses, considering long-term fuel price trends, and evaluating infrastructure availability. To optimize cost-effectiveness, regular monitoring of fuel prices and maintenance costs is advised. Overall, this study contributes valuable insights by highlighting the economic advantages of conversion, identifying recovery time influencers, emphasizing external factors, offering a framework for future research, and supporting sustainable transportation initiatives. It provides a comprehensive understanding of the economic implications of adopting natural gas cars, enabling stakeholders to make well-informed decisions for a sustainable and economically viable transportation sector.

Exploring Interpersonal Dynamics and Job Satisfaction among Women Workers in Cashew Industries: A Case Study of Chapara Village, Andhra Pradesh

Authors- Research Scholar Balla Usha Sri, Dr. MVKS Rao

Abstract- -The levels of interpersonal relations between the co-workers and the management plays a pivotal role in job satisfaction and improving the quality of relationships. Investigating the special dynamics of the relationship between an employee and an employer and with the help of diverse range of literature review and empirical research the study explores the effects of communication, and trust on job satisfaction the research reveals the unique obstacles and prospects within this setting. With implications for both employees and employers who look to improve job satisfaction and interpersonal relationships in the cashew industry, particularly in the unique regional context of Chapara Village, Andhra Pradesh, the findings offer insights into fostering positive workplace environments. The goal of the research is to improve the knowledge of the variables that affect women’s job satisfaction in the cashew industry. The study also provides useful insights for developing gender-inclusive initiatives and good work environments.

DOI: /10.61463/ijset.vol.12.issue1.114

A Study on Awareness and Attitude of Organ Donation among Rural Adult Population in Ranga Reddy District, Telangana

Authors- P. Akshitha Reddy, Muppidi Raajitha Reddy, Madisetty Supreet, Murari Livia Sushmitha

Abstract- -Background: Organ donation is defined as the removal of tissues from the body, from living or dead persons, for transplantation as a treatment. Organ transplantation is esteemed as the major treatment protocol for many end -stage organ diseases.
Objectives: To assess the knowledge and attitude of organ donation among the adult population of rural Telangana.
Methods: A cross-sectional study was conducted using a pre-designed semi-structured-based questionnaire among an appropriately selected sample i.e. all the adults above 18 years of age. The questionnaire includes socio demographic variables and questions on knowledge and attitude toward organ donation. The data was analyzed using Microsoft Excel and frequencies and percentages were calculated, and associations were measured using the Chi- square test.
Results: A total of 100 participants were included in the study. The Majority (41%) of them were in the age group of 26-44 years. About 50% were males and 50% were females. Most of them have completed their secondary education (26%). Most were Hindus (73%), 18% were Muslims and 9% were Christians. 74% of the participants were aware of the term organ donation. About half of the sample size felt organ donation could be done after death, 44% of them were about live organ donation. Among the study population, the major source of information was friends and colleagues. A greater part of the study population had a positive attitude towards organ donation.
Conclusion: This study came to an end with most participants having a moderate level of knowledge and positive attitude towards organ donation. Besides noting the awareness and attitude towards organ donation, this study helps to address the lack of knowledge about the legal aspects of organ donation and helps to spread awareness using appropriate measures about organ donation for the future betterment of society.

DOI: /10.61463/ijset.vol.12.issue1.119

Review on Solar Chimney Design and Challenges

Authors- Research Scholar Vinod Sironjiya, Assistant Professor Khemraj Bairagi

Abstract- -The growing global demand for sustainable and renewable energy sources has fueled research and development in the field of solar technologies. Among these, the solar chimney stands out as a promising and innovative approach to harnessing solar energy for power generation. This paper provides a comprehensive review of the current state of solar chimney technology, encompassing its historical evolution, key components, operational principles, and applications. The review begins with an overview of the fundamental concepts underlying solar chimneys, emphasizing their capacity to convert solar radiation into electricity through a combination of solar collectors, a vertical chimney, and a turbine system. Various design configurations and structural considerations are explored, highlighting the impact of geographical and climatic factors on performance.

Search and Rescue Robot

Authors- Varun Ajith, Ryan Biju Joseph, Pranav Jayan, Emin Tomson

Abstract- -Natural disasters are plagued by a variety of issues,including earth shifting, landslides, floods, etc. It is a terrifyingduty for the rescue crew to go to the place and conduct rescueoperations during the early period of the disaster, regardless ofthe origin, nature, or magnitude of the damage inflicted. Dust,smoke, or water cover the whole gallery, street, or region, makingit difficult for rescue workers to see. As a result, the scenariois not ideal for the rescue crew to carry out the activities. Thecrucial hours immediately following the tragedy might be thedifference between life and death for the people who remaintrapped. Deploying a wireless autonomous robot outfitted withnumerous sensors and cameras to improve visibility even inextremely low light settings would thus be the optimum answerin such circumstances. This paper explains the gait movementdesigns and kinds that have been researched, as well as the partsthat will be used to construct this robot.

DOI: /10.61463/ijset.vol.12.issue1.112

Rejuvenating the Aquifers of Sargodha: A Geohydrological Approach

Authors- Rani Ummay Farwa, Niaz Muhammad, Qaisar Abbas, Adeel Hassan, Attique Ur Rahman, Aliha, Khlieeq Ul Zaman

Abstract- -Sargodha, a prominent city situated in the heart of Punjab, Pakistan, faces a pressing challenge regarding its water resources. The relentless extraction of groundwater coupled with inadequate recharge mechanisms has led to the depletion of aquifers, exacerbating the issue of water scarcity. Moreover, the geological composition of Sargodha, nestled adjacent to the salt range contributes to the salinity and hardness of its water resources. The geological formations comprising salt deposits in these proximate regions significantly impact the quality of groundwater, rendering it saline and unsuitable for various applications. This paper presents a geo hydrological approach aimed at rejuvenating the aquifers of Sargodha. Leveraging its strategic geographical position between the Jhelum and Chenab rivers, we propose the utilization of river water to replenish the depleted underground reservoirs. The implementation of underground fracking techniques emerges as a potential solution to facilitate the recharge process effectively. However, it is imperative to acknowledge that the proposed solution is speculative and requires further feasibility studies and rigorous scientific evaluation. Understanding the geological context of Sargodha is essential for comprehending the complexities of its water crisis. The city’s geological framework, characterized by sedimentary deposits and the presence of salt-bearing formations, underscores the intricacies associated with water quality and availability. Sargodha, being a densely populated urban center, intensifies the demand for water resources, exacerbating the consequences of uncontrolled extraction and insufficient recharge practices. Resolving Sargodha’s water crisis demands a multifaceted approach synergistically leveraging geological, hydrological, and engineering expertise. While the proposed geo-hydrological solution presents a promising avenue to alleviate water scarcity, its effectiveness rests upon meticulous planning, rigorous scientific investigation, and collaborative stakeholder engagement. This paper aims to ignite further research and discourse, paving the way for sustainable water management practices in Sargodha and similar regions facing comparable challenges.

DOI: /10.61463/ijset.vol.12.issue1.115

Smart Cane- An SOS Enabled Blind Stick

Authors- M Jaron Vishal Raja

Abstract- -The visually impaired individuals face challenges related to their imagination, foresight, and mobility. However, they are also required to carry out their daily tasks. Our innovative solution aims to address the issues faced by the blind community, enabling them to move around more easily and participate actively in society. The primary goal is to create a compact and portable device for them. The key features of our prototype include an ultrasonic sensor for detecting obstacles and a GPS tracking system that activates a pre-defined message during difficult situations. When the ultrasonic sensor identifies an obstacle, it delivers a warning signal to the Arduino Uno, then emits a sound through a buzzer. The GPS tracking system enhances user safety significantly by triggering a pre-defined message through a buzzer mechanism. Experimental outcomes demonstrate that our developed prototype is considerably more efficient and practical for blind individuals in various scenarios compared to traditional white canes. We propose an uncomplicated, cost-effective, customizable, and user-friendly electronic navigation system to offer valuable assistance and support for the blind and visually impaired.

Application of Sustainable Materials in Concrete Technology

Authors- Assistant Professor K Sagar, Assistant Professor Modugu Naveen Kumar, Assistant Professor Mulla Fayaz

Abstract- -In inside restoring, pre-wetted lightweight totals (LWA) act as inner repositories to supply the additional water required by the cementitious and pozzolanic parts of the substantial during their hydration processes. Because of their permeable nature and sensibly high retention limit, the LWA can likewise be filled with different materials, for example, stage change materials (PCMs). In this paper, three expected uses of PCM-filled LWA in substantial innovation are introduced. Notwithstanding the recently investigated use of expanding the energy stockpiling limit of cement in private and business development by utilizing a PCM with a change temperature close to room temperature, applications for higher and lower temperature PCMs likewise exist. In the first scenario, a PCM can be utilized to minimize thermal cracking, reduce the rate of temperature rise and subsequent temperature decrease in a substantial concrete section during (semi)adiabatic curing, and so on. In the last option case, a PCM can maybe decrease the number or power of freeze/defrost cycles experienced by a scaffold deck or other cement presented to a colder time of year climate. In this paper, these last two applications are for starters investigated from both trial and displaying perspectives.

Deep Learning for Lip Reading and Speech Recognition

Authors- Priyal Khapra, Sanskriti Agarwal, Utkarsh Sharma

Abstract- -This study presents a novel method of lip reading through a significant modification to the Lip Net design. For effective lip part extraction, we use a simplified index framing method instead of the DLib library. To capture temporal dependencies and spatial features, our model—which is implemented in Tensor Flow and Keras—combines Time-Distributed layers, Bidirectional LSTMs, and Convolutional 3D layers. The model is trained on an aligned video dataset so that it may learn the relationship between phoneme sequences and lip motions. Experimental validation of the suggested architecture with Connectionist Temporal Classification (CTC) loss shows that it performs well. We introduce a tailored data pipeline for efficient dataset processing, with a focus on real-world uses insurveillance and human-computer interaction. To sum up, our updated lip-reading model demonstrates encouraging outcomes, providing asuccinct yet.

A Review on Properties of Concrete Using Stone Dust and Glass Powder as Partial Replacement of Sand and Cement

Authors- Mohd. Ehteshamulhak, Assistant Professor Dipali Jaiswal

Abstract- -The main objective of the present research is to investigate the use of Glass Powder and Stone dust as partial replacement of cement and sand for the production of concrete. In this research analyze the strength of concrete made with using these waste materials one is Glass Powder and other is Stone dust. The Glass Powder is used as 20% replace by weight of cement and Stone Dust as the partial replacement of Fine Aggregate from 0%, 10%, 20%, 30% and 40%. The grade of the concrete here is M-25 and M-30 grade. Slump Test has carried out for the fresh concrete whereas Compressive Strength, Flexure Strength and Split Tensile Tests were carried for the Hardened concrete i.e. mechanical behavior of concrete. All tests are done at 7- day, 14 – day, 28 -day, and 56 days with 0 to 40% replacement of sand at an interval of 10%. Again above tests are carried out with 20% replacement of cement by glass powder. It is observed that the glass powder improve the strength and stone dust can be used as sand.

A Study Paper on Comparative Study on RCC and Composite Structure

Authors- Manoj Kumar Chourasia, Dipali Jaiswal

Abstract- -This Study Investigates About The Composite Structure Is Gaining More Popularity In Developing Countries. For Medium And High Rise Building In Rcc Structure Is No Longer Economical Because Of Increase Dead Weight, Span Restriction, Low Natural Frequency And Hazardous Formwork. Steel And Concrete Composite Structures Are Becoming More Popular Nowadays And Safe Over Its Design Life Span. The Steel And Concrete Constructions Are Best Solution For Modern Buildings. In The Present Work, Steel Concrete Composite, Steel And R.C.C. Options Are Considered For Comparative Study Of G+25 Storey Commercial Building Which Is Situated In Earthquake Zone Iv. Equivalent Static Method Of Analysis Is Used. For Modeling Of Composite, Steel And R.C.C. Structures, Etabs Software Is Used And The Results Are Compared; And It Is Found That Composite Structure Is Found To Be More Economical.

A Review on Experimental Study of Polypropylene Fibres

Authors- Kaptan Singha, Assistant Professor Dipali Jaiswal

Abstract- -Concrete made with Portland cement has certain characteristics: it is relatively strong in• compression but weak in tension and tends to be brittle. These two weaknesses have limited its use. Another fundamental weakness of concrete is that cracks start to form as soon as concrete is placed and before it has properly hardened. These cracks are major cause of weakness in concrete particularly in large onsite applications leading to subsequent fracture and failure and general lack of durability. The weakness in tension can be overcome by the use of conventional rod reinforcement and to some extent by the inclusion of a sufficient volume of certain fibers. Polypropylene is a synthetic hydrocarbon polymer, the fiber of which is made using extrusion processes by hot drawing the material through a die. This paper deals with the effects of addition of various proportions of polypropylene fiber on the properties of concrete. In this paper various literature are studied and conclusion has been made regarding use of polypropylene fibre in concrete.

Smart Contact Lens for Bio Sensing Applications Revolutionizing Healthcare Monitoring

Authors- Smitha Jes Brighty, Dr. Kavitha R

Abstract- -This research smart contact lenses have emerged as an innovative and promising technology for the bio sensing application field, providing non-invasive and continuous monitoring of various physiological parameters. This research paper explores the potential applications, working principles, challenges, and advancements of smart contact lenses in healthcare monitoring. It also discusses the future prospects and the impact of this technology on the healthcare industry. Smart contact lenses, a groundbreaking technological development, have gained considerable attention for their potential applications in various fields, particularly healthcare and bio sensing. These lenses offer non-invasive, real-time monitoring of physiological parameters and have the potential to revolutionize the way healthcare is delivered. Due to their multifunctional bio sensing abilties and extraordinarily integrated overall performance, they offer a terrific platform for the analysis of eye diseases and the transport of medicine. Herein, a short record of the improvement of contact lenses is given. Then, the kingdom‐of‐the‐artwork layout and fabrication of clever contact lenses for biomedical applications, including contact lens substances, fabrication technology, and integration, are provided. Furthermore, biosensors applied in touch lenses to degree lactic acid, glucose, intraocular stress, and other key metabolites in tears are highlighted packages of clever touch lenses in drug shipping are also defined. Those specific capabilities make clever touch lenses promising diagnostic and treatment gadgets.

Harnessing the Power of Artificial Intelligence in Education: A Comprehensive Study from the Perspectives of Teachers and Students

Authors- Susmita Paul, Dr. Kavitha R

Abstract- -This research investigates the impact of Artificial Intelligence (AI) in education, offering a comprehensive analysis from the perspectives of teachers and students. As AI technology continues to advance, its potential to transform the educational landscape is significant. The study explores the current state of AI integration in education, considering benefits, challenges, and implications. Employing a mixed-methods approach with surveys and interviews, the research gathers insights from diverse educational settings. The results, presented through quantitative and qualitative analyses, highlight the extent of AI integration, perceived benefits, and challenges. The discussion addresses implications for teaching and learning, including the evolving role of teachers and strategies to overcome ethical and privacy concerns. Ultimately, this research provides valuable insights for educational stakeholders, contributing to the ongoing dialogue on the effective integration of AI to enhance the educational experience.

Road Lane Detection and Path Planning Optimization through Advanced Image Processing Techniques

Authors- Research Scholar Sukhjinder Pal Singh, Professor Gurpreet Singh, Assistant Professor Simrandeep Kaur

Abstract- -The advancement of autonomous driving technology has spurred intensive research into enhancing the perception and decision-making capabilities of autonomous vehicles. Among the critical components of autonomous navigation systems, road lane detection and path planning optimization play pivotal roles in ensuring safe and efficient traversal of vehicles through complex environments. This thesis explores the integration of advanced image processing techniques to improve both the accuracy of road lane detection and the optimization of path planning algorithms for autonomous vehicles.

Enhancing Structural Performance: A Comparative Analysis of Metaconcrete and Conventional Concrete

Authors- Divyanshu Dev, Khyati Varshney, Rohit Ralli, Shobha Ram

Abstract- -This paper presents a comparative analysis of meta concrete and conventional concrete (grade M25) with the aim of evaluating their structural performance and suitability for various engineering applications. Meta concrete, a novel material consisting of cementitious matrices infused with dispersed micro fibrous components, demonstrates great promise in enhancing the mechanical properties and durability of concrete structures. The study employs a Python-based computational analyses to conduct a comprehensive evaluation of both materials, revealing a substantial improvement in the modulus of Elasticity of meta concrete – approximately 52% more rigid than traditional concrete. Furthermore, the stress versus strain values of meta concrete are observed to increase linearly with strain providing excessive strength when compared to conventional concrete across all tested conditions.

Online Voting Structure: A Study

Authors- Pawandeep Kaur

Abstract- -The project entitled “A Study on Online Voting System” aims at making the voting process easy in private environment. Presently voting is performed using ballot paper and the counting is performed by the persons, hence it consumes a lot of time. There can be possibility of invalid votes. All these make election a tedious task. In our proposed system voting and counting is done with the help of computer. It saves time, avoid error in counting and there will be no invalid votes. It makes the election process easy. This project is a cyber-voting technique. In this system, the voters who are pursuing in these private sectors and the age is above 18 years of any gender can vote for the deserving candidate through online without going to polling booth. The voters can vote without any difficulty.

Digital Transformation – Reshaping Industries and Enabling Future Growth

Authors- Research Scholar Deepak Bishnoi, Assistant Professor Dr. Sangram Singh Tomar

Abstract- -Digital transformation has emerged as a pivotal phenomenon reshaping organizations across various industries in recent years. This abstract presents a comprehensive overview of the concept of digital transformation, its significance, and its impact on businesses. The term refers to the integration of digital technologies into all aspects of an organization, fundamentally altering its operations, processes, and customer interactions to enhance efficiency, agility, and competitiveness. This abstract delves into the key drivers propelling the adoption of digital transformation, such as the evolving technological landscape, changing customer expectations, and the need for operational optimization. Furthermore, it explores the major challenges faced by organizations during the transformation journey, including cultural resistance, data security concerns, and the complexity of managing legacy systems. The paper highlights keyways in which digital transformation is impacting businesses that have effectively navigated the digital transformation landscape, showcased how innovation and embracing disruptive technologies have led to increased revenue, streamlined processes, and improved customer experiences. As digital transformation is a dynamic and evolving process, this abstract concludes with a discussion of the future trends and potential challenges that organizations may face in their ongoing pursuit of digital maturity. Drawing upon existing research and insights, it encourages organizational leaders to adopt a proactive and adaptive approach to embrace the digital age fully.

Intent Recognition and Slot Filling for Ecommerce Chatbot: A Review

Authors- Avinash Adsare, Ayush Kadam, Nikhil Jadhav, Sandesh Pansare, Professor Sapana Bhirud

Abstract- -With the continuous evolution of natural language processing (NLP), the role of conversational agents, particularly in e-commerce, has become pivotal in enhancing user engagement and satisfaction. This review paper conducts a comprehensive survey and analysis of intent recognition and slot filling techniques employed in the domain of e-commerce chatbots. Delving into the existing literature, the paper synthesizes insights into the methodologies for deciphering user intent and extracting relevant slot information. A focal point of the review is the exploration of the CoBiC architecture, integrating Convolutional Neural Network (CNN), Bidirectional Long Short-Term Memory (BiLSTM), and Conditional Random Field (CRF). This architectural amalgamation proves to be a promising approach in addressing the intricate challenges inherent in natural language understanding. The paper scrutinizes various strategies for intent recognition and slot filling, aiming to provide a holistic view of the current landscape. Identifying challenges and suggesting potential avenues for future research, the review seeks to contribute to the advancement of e-commerce chatbot technologies. By offering a meticulous analysis of the literature, this work aims to equip researchers, practitioners, and developers with a nuanced understanding of both the progress and open issues in the field. Ultimately, the paper fosters an environment conducive to further innovation in e-commerce chatbot technologies.

Uncovering Insights: Exercising Big Data Analytics via Data Science

Authors- Thummala Charanteja, Kavitha.R

Abstract- -Business analytics is believed to be a boon for organizations as it provides unprecedented opportunities to innovate and grow. In the present-day economy, the only constant in organizations is the change. Change materializes through Innovation. Innovation is directly impacting the organization’s future in making smarter decisions and better business performance. It remains the basis for new inventions of products or services. Many breakthroughs in big data and artificial intelligence have made business analytics stand out. Its primary goal is to turn large amounts of data using tools and techniques into meaningful business insights. As business analytics embark on new paths for success, many organizations.

Google Colab: The Free Cloud Platform Powering Machine Learning

Authors- M. Tech. Scholar Mayur Bagane

Abstract- -Google Colab, a free cloud platform offering browser-based access to powerful computing resources like GPUs and TPUs, has significantly democratized machine learning (ML). Traditionally, such resources were cost-prohibitive, hindering individual exploration and model training. Colab eliminates this barrier, making ML accessible to a broader and more diverse audience. Furthermore, Colab’s integration with Jupyter notebooks fosters an interactive learning environment. Learners can directly execute code, visualize results, and share notebooks, creating a collaborative space for knowledge exchange. This user-friendly interface makes Colab invaluable for education, allowing students to grasp complex ML concepts through hands-on practice. Beyond accessibility and education, Colab empowers researchers and practitioners through seamless collaboration features. Notebooks can be readily shared and edited in real time, facilitating teamwork and accelerating project development. This fosters open-source contributions and knowledge sharing within the ML community.

Big Questions for Organizations to Survive in
Digital Wave

Authors- Research Scholar Deepak Bishnoi, Assistant Professor Dr. Sangram Singh Tomar

Abstract- -In the era of rapid technological advancements and digital transformation, organizations face unprecedented challenges and opportunities. The digital wave has disrupted traditional business models and revolutionized the way organizations operate, forcing them to adapt or risk becoming obsolete. This abstract explores the key strategies and adaptations that organizations must undertake to survive and thrive in the digital era. The abstract begins by outlining the prominent drivers behind the digital wave, including emerging technologies such as artificial intelligence, the Internet of Things, big data analytics, and cloud computing. It highlights how these technologies have reshaped consumer behaviors, preferences, and expectations, leading to an increased demand for personalized and seamless digital experiences. Next, the abstract delves into the essential transformations’ organizations must embrace to remain competitive. It emphasizes the importance of fostering a digital-first culture that promotes innovation, agility, and a customer-centric mindset. Moreover, the abstract explores the significance of adopting data-driven decision-making processes, enabling organizations to derive actionable insights from vast amounts of data and drive better business outcomes. Additionally, the abstract discusses the significance of developing robust cyber security measures to safeguard sensitive data and intellectual property from cyber threats. Organizations must also address ethical considerations associated with the collection and utilization of consumer data to build trust and sustain long-term relationships with their stakeholders. Furthermore, the abstract examines the role of strategic partnerships and collaborations in the digital age. Organizations can leverage alliances with tech startups, industry disruptors, and academic institutions to access cutting-edge technologies, knowledge, and talent. Lastly, the abstract concludes by emphasizing the importance of leadership commitment and organizational flexibility in navigating the digital wave. Leaders must champion digital transformation initiatives, create a learning-oriented environment, and embrace an iterative approach to adapt to rapidly changing circumstances. In conclusion, surviving in the digital wave necessitates a multifaceted approach, encompassing technology adoption, cultural shifts, data-driven decision-making, cyber security measures, strategic partnerships, and strong leadership. Organizations that proactively embrace these strategies will not only survive but also excel in the dynamic and highly competitive digital landscape.

Bus Drivers Vision Study–An Evidence Based Approach

Authors- Scholar Milon Kumar Sarkar, Dr. Kapil Dev

Abstract- -The “Bus Drivers Vision Study” is a comprehensive investigation into the visual health and its impact on the safety and well-being of bus drivers. With a focus on the unique visual demands faced by these professionals, the study delves into the ocular challenges and vision-related symptoms experienced during their work. The research combines quantitative assessments of visual acuity, refractive errors, and vision-related symptoms with qualitative insights from bus drivers. The study population includes bus drivers in various urban settings, and data is collected both before and after the implementation of interventions aimed at enhancing visual health. Preliminary findings reveal a significant prevalence of visual discomfort and uncorrected refractive errors among bus drivers. The post-intervention data demonstrate marked improvements in visual acuity and a reduction in vision-related symptoms. Qualitative interviews provide valuable context, shedding light on the experiences of bus drivers regarding their visual health and the effects of interventions on their safety and job satisfaction. The “Bus Drivers Vision Study” highlights the critical importance of addressing visual health among bus drivers and emphasizes the effectiveness of targeted interventions in promoting both the well-being of drivers and the safety of public transportation.

Impact of Artificial Intelligence in Healthcare

Authors- Alfiya Anjum, Saif Ayman, Umit Demir, Attar. Mohammed Javeed

Abstract- -Artificial intelligence (AI) has profoundly changed healthcare in many ways, from the way we perform medical tests to patient care and treatment decisions. It started with simple analytics tools, but now, AI has evolved and is still evolving to help with complicated medical processes. This study delves into the transformative impact of Artificial Intelligence (AI) in healthcare, examining its application in diagnostics, and treatment plans, and its potential to streamline clinical workflows. It highlights AI’s pivotal role in enhancing the accuracy of medical diagnostics and the development of personalized treatment plans, while also exploring the readiness of healthcare professionals to integrate AI into their practice. Despite the optimism around AI’s benefits, the research addresses challenges in its implementation, including ethical considerations, data privacy, and potential job displacement. The findings suggest a future where AI is integral to healthcare, necessitating further research and ethical oversight to maximize its benefits and minimize risks. The study’s insights are drawn from a modest number of healthcare professionals, recognizing the need for broader representation and data to reinforce these preliminary findings.

Advancements in Health Monitoring: A Comprehensive Review of Integrating IoT and Spring Boot Technologies

Authors- Associate Professor Veena R.S, Amogha Harsha M.V, Charvi Singh, Gauri C Mathad, M Disha Shetty

Abstract- -This paper delves into the integration of the Internet of Things (IoT) and the Spring Boot framework within the context of health monitoring systems. We explore the respective roles of both technologies, highlighting their synergistic link in crafting comprehensive solutions for real time patient data collection, processing, and analysis. The paper emphasizes the benefits of Spring Boot, including its modular architecture, ease of development, and scalability, making it a valuable asset for backend development in health monitoring ecosystems. Furthermore, it’s imperative to emphasize how the integration of IoT and Spring Boot not only enhances data processing but also revolutionizes the real-time analysis of health data. Spring Boot’s capabilities empower health monitoring systems to efficiently process vast datasets, enabling healthcare professionals to derive meaningful insights promptly. This streamlined approach to data analysis facilitates quicker decision-making, ultimately leading to more effective and personalized patient care. The seamless interaction between IoT devices and Spring Boot’s backend ensures that health data is not only collected comprehensively but is also transformed into actionable information, marking a paradigm shift in healthcare analytics. Moreover, as the healthcare industry evolves, the paper delves into the crucial aspect of user experience within health monitoring systems. Beyond the technical integration, the user interface and experience play a pivotal role in ensuring widespread adoption and usability. We explore the importance of user-centric design principles, intuitive dashboards, and user-friendly interfaces in enhancing the overall effectiveness of health monitoring solutions. By prioritizing user experience, the integration of IoT and Spring Boot can achieve broader acceptance among healthcare professionals, contributing to the successful implementation and utilization of advanced health monitoring systems. In continuation, this paper not only serves as a comprehensive analysis of the current landscape of IoT and Spring Boot integration in health monitoring but also provides actionable insights for the future. By addressing technical challenges, enhancing user experience, and identifying avenues for further research, the integration of IoT and Spring Boot stands poised as a transformative force in the continuous evolution of health monitoring systems.

Review of Comparative Analysis of Seismic Performance of RC Framed Building with Flanged and Rectangular Shear Walls

Authors- Scholar Nahar Singh Rajpoot, Professor Dr. Rajeev Chandak

Abstract- -This review paper provides a comprehensive analysis of the state-of-the-art methodologies and advancements in the field of seismic analysis applied to Reinforced Concrete (RCC) buildings with shear walls From the earthquake records, there is an increase in the demand for earthquake resisting buildings, which can be fulfilled by providing the shear wall systems in the buildings and playing an essential role in resisting lateral force. These structural walls may differ based on their configuration and utility. Recent studies on the behaviour and location of the shear wall indicated that shear walls with flange have better behaviour than convention ones, and this is due to the interaction of flange and wall web. However, the complete behaviour of buildings with flanged shear walls is still unknown, like the distribution of lateral forces in these walls and the possible locations of damage, etc. The review synthesizes key research findings and methodological developments, offering a valuable resource for engineers, researchers, and practitioners involved in the design and analysis, of RCC buildings.

Intruder Detection System Using ML

Authors- Scholar M. Fathima Israth, Assistant Professor Dr. S. Selvakani, Assistant Professor Mrs. K. Vasumathi

Abstract- -Intruder detection is a critical aspect of ensuring the security of sensitive environments, such as homes, offices, and industrial facilities. This project proposes the development of an Intruder Detection System (IDS) using the C# programming language. The system aims to enhance security measures by promptly identifying and alerting authorities or users about unauthorized access or suspicious activities. The proposed system leverages various sensors, such as motion detectors, door/window sensors, and cameras, to monitor the designated area. These sensors are integrated into a C# application that continuously analyzes their input to detect anomalies. The system employs advanced algorithms to distinguish normal activities from potential security threats.

A Review on Quality Improvement in Brake Shoe by Using Seven Quality Control Tool

Authors- M.Tech. Scholar Vishal Kumar, Professor Dr. Anoop Pratap Singh

Abstract- -Quality improvement in brake shoe manufacturing is crucial for ensuring safety and performance in automotive applications. This review explores the utilization of seven quality control tools in enhancing the quality of brake shoe production processes. The seven quality control tools, namely Pareto charts, cause-and-effect diagrams, control charts, histograms, scatter diagrams, flowcharts, and check sheets, are examined for their effectiveness in identifying and addressing quality issues throughout the manufacturing process. By systematically analyzing the application of these tools, this review aims to provide insights into their practical implementation and effectiveness in improving brake shoe quality. Additionally, the review discusses the integration of these tools within quality management systems to establish continuous improvement processes. Through a comprehensive analysis of existing literature and case studies, this review contributes to the understanding of quality improvement methodologies in brake shoe manufacturing, offering guidance for practitioners and researchers seeking to enhance quality control practices in this critical automotive component.

Factors Affecting Customer Satisfaction of Calla Spa in Dong Nai and Ho Chi Minh City Areas

Authors- Nguyễn Văn Nhân, Hồng Thị Thu Trang

Abstract- -This study was conducted with the aim of identifying factors affecting Calla SPA customer satisfaction with the research object being Calla SPA customers in Dong Nai Province and Ho Chi Minh City, Vietnam. With qualitative and quantitative research methods through document research, in-depth interviews, group discussions, and surveys, factors that impact customer satisfaction have been found. Elements of service quality include Tangibility; Reliability; Responsiveness; Assurance; Attention. Other factors include price and location of the SPA center. The t-test results show that factors affecting customer satisfaction include service quality (with Tangible attributes; Reliability; Responsiveness; Assurance; Attention). sig value 0.041 < 0.05 and t-count is 2.076 > 1.99167. The Price factor has sig 0.043 < 0.05 and t-count is 2.062 > 1.99167 and the SPA center location factor has sig 0.015 < 0.05 and t-count is 2,500 > 1.99167. The F test result with F value = 10.247 at the significance level Sig = 0.000 < 0.05, so the regression model is appropriate. With the standardized beta coefficient, β1>β2>β3 Therefore, the factor that has the strongest impact on the dependent factor (satisfaction) is the service quality factor with value (β1=0.127), followed by price factor (β2=0.167) and finally the location of Calla SPA center (β1=0.294). Quantitative results show that the observed variables in each scale are correlated with each other and the scale achieves high reliability with coefficient 0.70 ≤ alpha ≤ 0.95. The total correlation coefficient of observed variables in each scale is greater than 0.3. Preliminary EFA analysis shows that related variables satisfy 0.5≤KMO≤1 and Sig<0.05. The results of the study are not comprehensive enough for the activities of the entire SPA industry. However, research also contributes to giving leaders a basis to improve customer satisfaction through service quality. Price, location of SPA center, meeting customer satisfaction, maintaining market share, expanding market, increasing sales in SPA activities. The research also contributes to expanding the theory of service quality in the field of SPA industry.

DOI: /10.61463/ijset.vol.12.issue1.143

Top Technology Trends Revolutionizing Testing and Monitoring in Banks

Authors- Kinil Doshi

Abstract- -The article covers the major technology trends that are transforming the future of testing and monitoring in banking. It also highlights the ways the identified technologies are bound to influence the efficiency of operational processes, risk management, and customer. It emphasizes the technologies that underlie Artificial Intelligence, Machine Learning, Robotic Process Automation, Enhanced Data Analytics, Cybersecurity, Cloud Computing, Distributed Ledger Technology, and Open Banking radically transform the banking operational landscape. They enable more efficient fraud detection and risk assessment, as well as better regulatory compliance and further customer interaction, which result in proactive, safe and customer-oriented banking. The challenges that banks must deal with are also outlined, while technological transformation offers the ultimate solution to restructure traditional banking into an unrivaled, dynamic, and efficient model.

DOI: /10.61463/ijset.vol.12.issue1.596

Optimizing IoT Device Connectivity and Data Flow Management Using Azure Functions and Event Hubs: A Scalable Framework for Modern Applications

Authors- Seetaiah B

Abstract- -This paper explores a scalable and secure approach to managing IoT device connectivity and data flow using Azure Functions, IoT Hub, and Event Hubs. The proposed framework addresses the challenges of data ingestion, real-time event processing, and secure device communication in complex IoT environments. Detailed architecture, implementation strategies, performance enhancements, and real-world use cases demonstrate how these cloud-native solutions can optimize IoT device management, reduce latency, and improve overall system reliability. Future considerations for scalability and advanced analytics integration are also discussed.

DOI: /10.61463/ijset.vol.12.issue1.597

Marketing Strategy in Improving Product Competitiveness in the Global Market

Authors- Assistant Professor Shivani Gautam, Assistant Professor Atul Kumar, Assistant Professor Deepak Kumar, Assistant Professor Mohd. Tasleem

Abstract- -The global market is an increasingly competitive and dynamic commercial environment. Technical development, globalization, and Internet access have changed the consumption models to open up the opportunity and challenges for companies in international marketing. In such a market environment, companies need to have an effective marketing strategy to increase the competitiveness of products in the global market. The purpose of this study is to examine marketing strategies to improve product competitiveness in the global market. The current type of research is qualitative. Data collection techniques include listening and recording key information in order to reduce data, present data, and perform data analysis by drawing conclusions. The findings show that the global market offers companies great opportunities for growth and success on an international scale. However, fierce competition and complex market dynamics also require companies to have the right marketing strategies.

DOI: /10.61463/ijset.vol.12.issue1.598

Ethical Marketing Practices: A Comprehensive Exploration

Authors- Assistant Professor Vivek Kumar Tyagi, Associate Professor Dr. Pankaj Kumar, Assistant Professor Nishu Verma

Abstract- -Ethical marketing refers to the promotion of products and services in a manner that prioritizes consumer well-being, social responsibility, and environmental sustainability while adhering to moral principles and legal standards. As global consumer awareness increases, businesses are increasingly recognizing the importance of ethical marketing practices to build trust, foster long-term relationships with customers, and protect their reputation. This paper provides a comprehensive exploration of ethical marketing, defining its core elements, examining its significance in modern business practices, and addressing the challenges companies face in implementing such strategies. Additionally, it explores various strategies for integrating ethical marketing into business operations, such as transparent communication, sustainability initiatives, and fair pricing. By highlighting the impact of ethical marketing on consumer behavior and societal well-being, this paper underscores the importance of adopting ethical practices not only for business success but also for contributing positively to the broader community.

DOI: /10.61463/ijset.vol.12.issue1.599

Enhancing Railway Safety with Advanced Track Monitoring to Uphold Vigilance and Elevate Operational Standards

Authors- Vahidhabanu Y, Dinesh R, Shankar P, Venkatesh S

Abstract- -In order to guarantee smooth passenger and freight movement, railway safety is essential. Conventional track inspection techniques are reactive and time-consuming, which increases operational inefficiencies and safety hazards. This study offers an advanced track monitoring system incorporating Internet of Things (IoT) sensors, artificial intelligence (AI)-based predictive analytics, and real-time surveillance technologies. Railway operators can reduce derailments, improve maintenance schedules, and early recognize track anomalies by utilizing these advancements. By lowering human error, boosting productivity, and speeding up reaction times to possible threats, the suggested approach raises operational standards. This paper presents a framework for intelligent railway safety monitoring, talks about recent technology developments, and gives an overview of challenges facing railway monitoring today.

DOI: /10.61463/ijset.vol.12.issue1.600

Intelligent Helmet Monitoring System using AI Techniques

Authors- N.Premkumar, E.Sanjay, R.Thirugnanam, V.Sundharsri

Abstract- -something critical which makes a difference in worker safety-especially when industries are critical enough that workers wear helmets utilizing latest computer vision and machine learning to analyze live video streams coming from the workspace hm monitors if the workers are wearing helmets or not advanced image processing and deep learning algorithms of hms correctly verify whether workers are wearing helmets or not it instantaneously notifies the supervisors or the safety personnel of the system for taking immediate action correction in such cases where safety protocols are violated the major objectives of hms are the setting up of pro-active approach for safety bringing down the risk of head injury and making people stick to the guidelines using yolov5 model for helmet detection.

DOI: /10.61463/ijset.vol.12.issue1.601

Advancements in Precision Agriculture: An Integrated System for Crop Detection Using Image Analysis and Environmental Data

Authors- S.Parthiban, K.Vignesh, P.Arun, J.Jayanth

Abstract- -A revolutionary strategy to improve agricultural productivity, sustainability, and efficiency is precision agriculture. This research proposes an integrated, complete system that uses environmental data and image analysis techniques to precisely detect crops. The suggested method makes use of developments in data analytics, computer vision, and remote sensing to enable precise and fast crop identification in agricultural fields. Farmers can now make more informed decisions about irrigation, fertilization, and pest control because to the increased accuracy and dependability of crop recognition resulting from the integration of image analysis and environmental data. Because of the system’s real-time capabilities, resource consumption is optimized and crop disease risk is decreased through proactive monitoring and management. The use of machine learning models for predictive analysis is also covered in the article, which enables the system to estimate future crop yields and further improve resource allocation. This capacity for prediction helps farmers plan and make decisions, which eventually supports agricultural practices that are both commercially and sustainably viable. To sum up, the comprehensive integrated system that has been suggested is a noteworthy development in precision agriculture, providing farmers with an effective instrument to improve their crop management techniques. In addition to increasing crop detection accuracy, the combination of image analysis and environmental data lays the groundwork for data-driven insights and decision-making in contemporary agriculture.

DOI: /10.61463/ijset.vol.12.issue1.602

Solar Integrated Power System for Energy Efficiency and Energy Saving Application Using AI

Authors- K. Karthik, A.Balamurugan, S.Dhayanithi, S.Sanjaikumar

Abstract- -A solar integrated power system for energy efficiency and energy saving application using AI, is a system that combines Solar Photovoltaic (PV) panels with battery and grid connection to provide a clean and reliable electricity to domestic consumers with AI system. The entire system will be completely operated only in DC source. Such a system can reduce the dependence on fossil fuels, lower the electricity bills, and maintains the load across the domestic purpose which contributes to the national renewable energy targets. A solar integrated power system can be designed as a Building-Integrated PhotoVoltaic (BIPV) system, which integrates the PV panels into the building envelope, such as windows, roofs, or facades. Alternatively, it can be installed as a rooftop solar system, which mounts the PV panels on the existing roof structure. AI is used to control and monitor the entire load and PV system.

DOI: /10.61463/ijset.vol.12.issue1.603

A Sustainable, Catalyst-Free, One-Pot Approach for the Microwave-Assisted Synthesis of 5-Amino-1,3-Diphenyl-1H-Pyrazole-4-Carbonitrile Derivatives in an Eco-Friendly Medium, Along With An Assessment of Their Biological Properties

Authors- Jyotiba V. Pawar, Dhananjay V. Mane

Abstract- -This research introduces an innovative, environmentally friendly, and effective strategy for synthesizing 5-amino-1,3-diphenyl-1H-pyrazole-4-carbonitrile derivatives through a catalyst-free, one-pot, three-component reaction in green media under microwave irradiation. Ethanol is employed as a sustainable solvent, promoting a fast and high-yield synthesis while adhering to green chemistry principles by minimizing reaction time and energy usage. The structural properties of the synthesized compound were validated using FT-IR, NMR, and mass spectrometry. Biological evaluations were performed to assess its antimicrobial and antioxidant activities. The compound exhibited notable antibacterial efficacy against both gram-positive and gram-negative bacteria, alongside significant free radical scavenging potential, highlighting its promise for further pharmaceutical exploration. This study emphasizes the advantages of microwave-assisted synthesis in eco-friendly media for developing bioactive compounds with a lower environmental footprint.

The Impact of Hybrid Work Models on Employee Mental Health

Authors- Assistant Professor Dr. Ankita Singh

Abstract- -The rise of hybrid work models has really changed how we interact in the workplace, finding a sweet spot between flexibility and structured in-office teamwork. While hybrid work comes with its perks, like better work-life balance and less time spent commuting, it also introduces some challenges for mental health. These include increased stress, blurred lines between work and personal life, and feelings of isolation. This research dives into how hybrid work models impact employee mental health by looking at stress levels, anxiety, and the availability of support systems within organizations. We took a quantitative approach, gathering data from 100 employees across various sectors and using reliable mental health assessment tools like the Perceived Stress Scale (PSS) and the Generalized Anxiety Disorder Scale (GAD-7). The findings show that although 72% of employees appreciated the flexibility of hybrid work, 40% struggled with feeling disengaged from their work, and 28% faced communication challenges. While there weren’t significant gender differences, younger employees did report higher anxiety levels when adapting to hybrid work setups. This study highlights the critical role of organizational support, mental health initiatives, and effective communication strategies in reducing stress. These findings align with previous research, emphasizing that hybrid work isn’t a one-size-fits-all solution and requires tailored strategies to safeguard employee well-being. Organizations should fine-tune their policies to foster psychological safety, strengthen team bonds, and create clear boundaries between work and personal life. Future research should explore the long-term impacts and industry-specific adjustments of hybrid models to enhance mental health outcomes and boost overall productivity.

DOI: /10.61463/ijset.vol.12.issue1.606

Water Quality Mapping Using GIS in a Tank Irrigated Watershed, Tamilnadu, India

Authors- Kavipriya S, Kamalini V, Kanishkaa C, Shanmugapriya T

Abstract- -Agriculture activities have maintained greater impacts on Indian economy. To achieve greater and production in agriculture activities, assessment of water quality is very important. For planning agriculture development in a tank command area it is very important to develop the tank irrigation management information system. For this purpose, ground water as well as surface water samples from lower basin part of wellington Reservoir (Northern Block) and command area of Tittagudi district is collected with GPS. For monitoring water quality parameters, the samples taken are analyzed in the laboratory using standard procedures and the resultant values are compared with their respective standard values. From the analysis, it is found that in most of the locations of the study area, water quality found to be within the permissible limit except a few locations. Spatial mapping of water quality of the study area are prepared using GIS and spatial interpolation technique. Geographical Information system, a tool which is used for storing, analyzing and displaying spatial data is also used for investigating water quality information of the study area. An integral water quality information system in a tank irrigated watershed is developed. Resultant database on spatial variations of water quality obtained in this study will be helpful to the farmers for better planning and efficient management of agriculture activities as well as to the hydrologists for proper efficient watershed management.

DOI: /10.61463/ijset.vol.12.issue1.607