Volume 10 Issue 1

Parental Involvement and Students’ Attitude: It’s Influence on Students’ Achievement in Mathematics in the Modular Distance Learning

Authors -Ariston G. Vasquez, Alfred Rey G. Vasquez

Abstract- – With school learning continuity plans requiring children to learn at home, parents take on a daunting responsibility. They facilitate and guide their children through the self-learning modules obtain at schools in the given schedule. This paper investigated the influence of parental involvement and students’ attitude in the mathematics achievement of students. It involved a population of 84 grade 10 students identified through simple random sampling. Utilizing a descriptive-co relational research design, data were gathered through survey questionnaires administered via Google forms. Results revealed that most of the students had a moving towards mastery level in their mathematics achievement and had a moderately positive attitude towards mathematics. Results further showed that there is no significant relationship between parental involvement in mathematics achievement and attitudes towards mathematics. It is suggested that schools and parents must establish a strong partnership in the education of their children.

A Review of Study about Design and Analysis of RCC Building Structure

Authors -Research Scholar Prasun Bagdi, Asst. Prof. Dharmendra Kurmi

Abstract- – Due to structural and environmental efficiency, the recent trend in high-rise building is diagrid constructions. For Flat-slab Building, previous literatures are examined in the study and analysis is performed to check the behavior of flat-slab apartments both with diagrid. It is very crucial that the chosen structural system is such that the structural components are used efficiently while meeting design criteria. Due to its structural effectiveness and flexible in architectural scheduling, recently diagrid structural scheme is implemented in large structures. The structural layout of high-rise structures is controlled by lateral wind or earthquake loads. The structure’s lateral load resistance is given by an internal structural system or an external structural system. Due to inclined pillars, lateral stresses are prevented by diagonal axial movement in diagrid composition relative to bending of vertical pillars in standard construction. This article also discusses research on comparing diagrams with periodic setup and diagrams with variable perspectives. The assessment and comparison of diagrid and standard building systems on the grounds of steel usage, concrete weight and deformation are also presented.

Performance of Hybrid Renewable Energy System Using Dynamic Voltage Restorer with Grid Connected

Authors -Research Scholar Nilesh Kumar Choudhary, Asst. Prof. Amarnath Mukherjee, Asst. Prof. Parikshit Bajpai

Abstract- – Islanding is a condition in which the micro grids are disconnected from the main grid which consists of loads and distribution generation. Islanding is required whenever there is a fault and whenever the maintenance is required. Under normal condition or stable condition, the system works under constant current control mode. After islanding the system switched to voltage controlled mode. There are different methods that can be used to detect islanding situation such as active and passive methods. In this thesis SVM detection technique used for detecting islanding condition is carried out. This thesis presents a configuration and a control strategy for dynamic voltage restorer (DVR). In order to compensate the voltage of each phase separately, a closed-loop PI control law in the d-q reference frame is proposed. The proposed method provides a fast response and effective sag compensation capabilities. In addition, in order to detect voltage sag, a Space Vector Modulation (SVM) is employed to estimate three-phase voltages. By using SVM, the voltage sag can be detected faster than other conventional methods. Therefore DVR can compensate voltage sag quickly and accurately. The obtained results that are simulated in Matlab/Simulink indicate that the proposed method can mitigate the balanced and unbalanced voltage sag types efficiently in the distribution networks.

Review of Reversible Realization of Adder Subtractor Circuit

Authors -Research Scholar Sabhi Fatima, Associate Prof. Dr. Bharti Chourasia

Abstract- – Reversible logic computation is one of the most essential promising technologies in designing low-power digital circuits, optical information processing, quantum dot cellular automata, fault tolerant system and nanotechnology. In fact, the conventional digital circuits dissipate a significant amount of energy because several bits of information are deleted during the treatments. In reversible computation, the information bits are not lost. This paper presents the study of reversible realization of adder-subtractor circuit.

An Implementation Of Ultracapacitor Energy Storage For Pv Systems Using Mppt Controller

Authors -M.Tech. Scholar Altamash Adil, Asst. Prof. Bhanu Pratap Singh

Abstract- – Due to the physical properties of the network components, energy and power losses occur when electrical energy is transported from generating facilities to customers via transmission and distribution networks. These losses are unavoidable in the transmission of electrical energy through physical channels. Existing networks and planned additions provide a great opportunity to increase energy efficiency. Improving efficiency entails putting in place measures beyond the activity’s current best practices in terms of efficacy. To decrease network losses, various practical procedures and technologies may be employed. Salp Swarm Algorithm and Particle Swarm Optimization (PSO) (SSA) The performance study of hybrid energy storage systems (HESSs) reveals various benefits, including a low component count, ease of management and complete control of source energies. An energy management plan must properly estimate the power levels of sources in these systems (EMS). This work provides an energy management system (EMS) for a battery/ultra-capacitor (UC). By using an MPPT controller, the UC state-of-charge is not only smoothed but the battery power profile is also smoothed. As a result, it produces a HESS that is more durable and has longer battery life.

Implementation Of Dual Watermarking For Data Authentication And Security

Authors -M. Tech. Scholar Mansi Pathak, Asst. Prof.Narendra Pal Singh

Abstract- -In this project, two algorithms called Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) in digital image watermarking are compared. Therefore, by this method, the best result is obtained in the LL domain according to DWT, and the best result is obtained in the LL domain by DWT, and the best result is obtained in the LL domain by DWT. Therefore, according to the proposed embedding phase and extraction Mark, our schema embeds logo bits in the low frequency domain. Enhance us with image encryption and image watermarking using HUFFMAN coding. The principle of this process is to recover safety and robustness of the proposed DCT and DWT comparison system. Therefore, compared to other methods, this method can provide higher security accuracy and less data loss rate. The method also focuses on improving the quality after the embedding step and the goal of regaining the watermark after the extraction step. After experiments, it turns out that our proposed method provides safety and high performance with lower computational complexity and good target quality. Our chart evaluates the performance of watermarked image after the embedding step using peak signal-to-noise ratio (PSNR) and evaluates the recovered watermark by some types of performance indicators (such as mean square error (MSE).

A CFD Investigation of Flows through an Artificially Roughened Solar Air Heater

Authors -PG Scholar Ashok Kumar Panchtilak, Associate Prof. Dr. Irshad Ahmad Khan

Abstract- -Solar air heaters, because of their simple in design, is cheap and most widely used collection devices of solar energy. The thermal efficiency of a solar air heater is significantly low because of the low value of the convective heat transfer coefficient between the absorber plate and the air, leading to high absorber plate temperature and high heat losses to the surroundings. This paper presents the study of heat transfer in a solar air heater by using Computational Fluid Dynamics (CFD). The effect of Reynolds number on Nusselt number is investigated. A commercial finite volume package ANSYS FLUENT 16 is used to analyze and visualize the nature of the flow across the duct of a solar air heater.

Performance of Power Quality Improvement of Hybrid Energy in Grid Connected System

Authors -Research Scholar Sweta Kumari, Prof. Dr. Manju Gupta, Asst. Prof. Mamta Sood, Prof. Dr. Anuprita Mishra

Abstract- -This Paper proposes an Artificial Neural Network (ANN) controller based MPPT controller and Dynamic Voltage Restorer (DVR) utilization to improve the performance of a stand-alone hybrid renewable energy system. The renewable energy system consists of three renewable energy sources, namely, solar PV cells, battery system and fuel cells. These three sources are tied to a common DC link by three boost converters, one for each source. The common DC link is connected to the AC side via a DC/AC inverter. The optimal size of the three proposed renewable sources is calculated using the MATLAB Software. The DVR control is attained through regulating the load voltage at different anomalous working conditions. These conditions are three-phase fault, voltage sag/swell, and unbalanced loading to control DVR by regulating the D-Q axes voltage signals. The input/output data used for training ANNs are obtained by two optimized PI controllers, introduced for regulating the load voltage through DVR pulses at different abnormal operating conditions, and accordingly convert the static optimized PI controller into adaptive one based ANN. The system performance with the proposed ANN-DVR controller is enhanced through improving the current, voltage, and power waveforms of each generating source. With compensation of the faulty line voltage, the system retains an uninterrupted operation of the three renewable sources during fault events and the total harmonic distortion is reduced.

Review of Micro strip Antenna for GNSS Communication System

Authors -M. Tech. Scholar Shashi Mishra, Associate Prof. Dr Bharti Chourasia

Abstract- -As it is outstanding, the transfer speed of radio wire will diminish with the decline of reception apparatus size and this element constrains the outline of minimal Global Navigation Satellite System (GNSS) fix receiving wire (1-2 GHz). In this correspondence, a novel wideband system in light of the mode examination on the shorting load fix receiving wire is studied. By modifying the position and the extent of the shorting load structure, the prevailing resounding method of fix antenna(TM 10 ) is isolated into two auxiliary modes and these two modes are joined together to shape a wide working band.

Plant Disease Detection Techniques Based on Deep Learning Models: A Review

Authors – M.Tech. Scholar Sumit Sharma, Prof. Hemant Kumar

Abstract- – To avoid these diseases, plants need to be monitored at a very early stage in their life cycle. The traditional method used for this monitoring is visual observation, which requires more time and expensive expertise. Therefore, to accelerate this process, disease detection systems must be automated. Disease detection systems should be developed using image processing techniques. Many researchers have developed systems based on various techniques of image processing. This paper examines the potential of methods of plant leaf disease detection systems to promote the development of agriculture. It includes various steps such as image retrieval, image segmentation, feature extraction, and classification. Plant disease detection is a technique applied to detect disease in infected plants. Plant disease detection technology consists of two steps: segmentation of the first stage of an open input image to detect a sick part in the input image. A feature extraction technique is applied that extracts the features of the image and classifies the extracted features using various classifiers. In this paper, we will examine and explain various techniques of segmentation, feature extraction and classification from the viewpoint of various parameters.

Plant Disease Detection Techniques Based on Deep Learning Models: A Review

Authors – M.Tech. Scholar Sumit Sharma, Prof. Hemant Kumar

Abstract- – To avoid these diseases, plants need to be monitored at a very early stage in their life cycle. The traditional method used for this monitoring is visual observation, which requires more time and expensive expertise. Therefore, to accelerate this process, disease detection systems must be automated. Disease detection systems should be developed using image processing techniques. Many researchers have developed systems based on various techniques of image processing. This paper examines the potential of methods of plant leaf disease detection systems to promote the development of agriculture. It includes various steps such as image retrieval, image segmentation, feature extraction, and classification. Plant disease detection is a technique applied to detect disease in infected plants. Plant disease detection technology consists of two steps: segmentation of the first stage of an open input image to detect a sick part in the input image. A feature extraction technique is applied that extracts the features of the image and classifies the extracted features using various classifiers. In this paper, we will examine and explain various techniques of segmentation, feature extraction and classification from the viewpoint of various parameters.

Influence of Elevated Temperature on the Fracture Parameters of Basalt Fiber High Strength Concrete

Authors – Puli Yugandhar, Asst. Prof. K. Deepthi

Abstract- – Fire accidents, sabotages or natural hazards are the situations where concrete is likely to get exposed to elevated temperatures. Exposure to elevated temperature causes Physical changes including large volume changes due to thermal dilations, thermal shrinkage and creep related to water loss. The volume changes can result in large internal stresses and lead to micro-cracking and fracture. Elevated temperatures also cause chemical and micro- structural changes such as water migration, increased dehydration, interfacial thermal incompatibility and the chemical decomposition of hardened cement past and aggregate. All these changes decrease the stiffness of concrete and increase the irrecoverable deformation. The mechanical properties must be accurately predicted after the fire as they are crucial for the further usage of concrete structures. In view of all above, the present project is taken up to study the effect of elevated temperatures studies on the strength parameters and fracture parameters of plain and basalt fiber high strength concrete. In the present project, influence of elevated temperature on the strength parameters and fracture parameters was studied on 90 plain concrete specimens (18 Cubes + 36 Prisms+ 36 Cylinders) and 90 Basalt fiber reinforced concrete specimens (18 Cubes + 36 Prisms+ 36 Cylinders) for Compressive strength, Flexural strength, Split Tensile strength, Modulus of elasticity, Fracture energy and Fracture toughness. Specimens were tested at the end of 28 days of conventional curing for 1000C, 3000C, 5000c, 7000C and 9000C temperatures for 02 hours in a high temperature furnace of 10000C capacity. The percentage decrease in average residual compressive strength at 1000C for plain and basalt fiber concrete cubes is 4.7% and 1.84% respectively. The percentage decrease in average residual compressive strength at 3000C for plain and basalt fiber concrete cubes is 8.5% and 4.9% respectively.

Influence of Elevated Temperature on the Fracture Parameters of Basalt Fiber High Strength Concrete

Authors – Puli Yugandhar, Asst. Prof. K. Deepthi

Abstract- – Fire accidents, sabotages or natural hazards are the situations where concrete is likely to get exposed to elevated temperatures. Exposure to elevated temperature causes Physical changes including large volume changes due to thermal dilations, thermal shrinkage and creep related to water loss. The volume changes can result in large internal stresses and lead to micro-cracking and fracture. Elevated temperatures also cause chemical and micro- structural changes such as water migration, increased dehydration, interfacial thermal incompatibility and the chemical decomposition of hardened cement past and aggregate. All these changes decrease the stiffness of concrete and increase the irrecoverable deformation. The mechanical properties must be accurately predicted after the fire as they are crucial for the further usage of concrete structures. In view of all above, the present project is taken up to study the effect of elevated temperatures studies on the strength parameters and fracture parameters of plain and basalt fiber high strength concrete. In the present project, influence of elevated temperature on the strength parameters and fracture parameters was studied on 90 plain concrete specimens (18 Cubes + 36 Prisms+ 36 Cylinders) and 90 Basalt fiber reinforced concrete specimens (18 Cubes + 36 Prisms+ 36 Cylinders) for Compressive strength, Flexural strength, Split Tensile strength, Modulus of elasticity, Fracture energy and Fracture toughness. Specimens were tested at the end of 28 days of conventional curing for 1000C, 3000C, 5000c, 7000C and 9000C temperatures for 02 hours in a high temperature furnace of 10000C capacity. The percentage decrease in average residual compressive strength at 1000C for plain and basalt fiber concrete cubes is 4.7% and 1.84% respectively. The percentage decrease in average residual compressive strength at 3000C for plain and basalt fiber concrete cubes is 8.5% and 4.9% respectively.

Block Chain Based Cognitive Wireless Networks: Challenges Applications

Authors – M.Tech. Scholar Hariom, HOD. Parshant Rana, Associate Prof. Dr. Sweety Nain

Abstract- – The recent advances in wireless communication have led to the problem of growing spectrum scarcity. The problem of spectrum allocation is due to advance research in wireless communication. As new wireless applications are emerging, day after another, and making use of the available wireless spectrum for communication, the demand for spectrum increase makes the available spectrum scarcer. Mostly part of spectrum is not utilized significantly in wireless network. Cognitive Radio (CR) is a new technology that enables an unlicensed secondary user to coexist with licensed primary users in licensed spectrum bands without inducing interference to licensed primary users communication. This technology can significantly ease the spectrum redundancy problem & enhance the efficiency of utilization of spectrum. Cognitive Radio Networks (CRN) or Dynamic Spectrum Access Networks are formed by several CR nodes and they are often called as NeXt Generation (XG) communication networks. This XG communication network is expected to give high transfer speed to versatile clients through heterogeneous remote designs and dynamic range access procedures. CRNs have drawn in incredible exploration interest in the new years. Nonetheless, research on the security parts of CRNs has been exceptionally restricted. As CRN is like remote organization, the idea of the remote media is outside, it is more helpless against assaults when contrasted with that of wired organization. In this channel might be stuck/abuse due to remote media information is to be listened.

A Review of Solar Pave, Wind and Battery for Hybrid Renewable Energy System

Authors – M. Tech. Scholar Mandeep, Asst. Prof. Sunil Kumar Mahapatro, Associate Prof. Dr. Parmod Sharma

Abstract- – The market of sun oriented warm and photovoltaic power age is developing quickly. Novel thoughts on half and half sun oriented innovation develop for a wide scope of uses, for example, in structures, handling plants, and horticulture. In the structure area specifically, the restricted structure space for the convenience of sunlight based gadgets has driven an interest on the utilization of cross breed sun based innovation for the multi age of dynamic power or potentially aloof sun based gadgets. The importance is raising with the general example on the headway of low-carbon/zero-energy structures. Crossover photovoltaic/warm (PVT) gatherer frameworks had been concentrated hypothetically, mathematically, and tentatively inside and out in the previous many years. Along with elective means, a scope of creative items and frameworks has been advanced. The last achievement of the integrative innovations depends on the concurrence of powerful item plan/development and solid framework activity/support over the long haul to fulfill the client needs. This paper gives a wide audit on the distributed scholastic works, with an accentuation set on the innovative work exercises somewhat recently.

Power Transmission and Distribution Losses – A Modal Based on Available Empirical Data and Future Trends for All Countries Globally

Authors – M.Tech. Scholar Sadre Alam, Prof. Lokesh Shukla

Abstract- – Distribution system operating environments are changing rapidly due to the integration of the intermittent renewable in to the power grid at the distribution side of the power system. Therefore, with increasing number of wind based distributed generators (DFIGs) being installed within distribution systems, the traditional methods for distribution system modeling, DFIG placement & sizing, network reconfiguration needs to be reviewed and better practical ones developed to cater for the intermittent renewable power. The combined participation factors, realized by the Newton Raphson method, capture network parameters, load distributions and DFIG capacities (sizes) and locations have been formulated considering real and reactive power. A distributed slack bus model taking into consideration network sensitivity is proposed in the research as compared to the distributed slack bus models based on the DFIG capacity, DFIG domains and the single slack bus model. DFIG placement and sizing using a particle swarm optimization method (PSO) and a hybrid of GA and PSO (HGAPSO) and by load flow method are compared. With simulated results, the optimal location of the DFIG is the primary distribution system, with the HGAPSO giving improved results as compared to the ordinary PSO and the load flow. The active distribution network reconfiguration problem with an objective function of reducing real and reactive power losses in the presence of DFIG and uncertain loads proves the practicability of such a method in reducing power losses and in improvement of the voltage profile .Here an hybrid method of bacterial foraging and differential evolution (HBFDE)is applied. The proposed methods, as applied to the IEEE 33 Bus Radial distribution system, are found to be effective in the power loss reduction in the power system wind based distributed generation.

Life Cycle Assessment on Use of Nanotechnology in Treatment of Waste Water Treatment

Authors – Anupam Kumar Goit , Jitendra Kumar Yadav, Sanjesh Chaudhary, Ritu Rani, Deepak Kumar, Asst. Prof. Er. Kulvinder Singh

Abstract- – Now-a-days, people are facing many problems related to pure drinking water. water is required for every living things On earth only 2% of water is drinking is available for drinking purpose many reserved were done to develop and to overcome the environmental issue. To maintain the sustainable environment purification of waste water is essential in day- today life. Rice is one of the major crops in India and plays an important role in national economy. In this study Rice Husk and Alum is used for reduction of chemical oxygen demand (COD), total dissolved solid (TDS), total suspended solid (TSS), color, turbidity form municipal waste water.

A Review Study on Non Autoclaved Aerated Concreanute

Authors – M.Tech. Scholar Abdul Khaliq, Asst. Prof. Anuj Verma

Abstract- – AC blocks are Aerated Autoclave Concrete Blocks that are low in weight. Aluminium powder reacts with a proportional combination of lime, cement, and fly ash or sand to create this material. AAC is a lightweight, easy-to-build, and inexpensive-to-transport masonry material. The use of AAC blocks may cut building costs by up to 25%. Because autoclave aerated concrete is lighter than traditional brick, we believe that by using this advantage, we may lower the weight of infill walls on beams, columns, and footings by replacing conventional bricks with AAC blocks while also saving reinforced steel. Because of its light weight and great deformability (low Young modulus in compression), this material tends to lessen inertia forces on the building caused by seismic activity. The masonry compressive strength of AAC, on the other hand, is very low when compared to other conventional masonry types, despite its highly restricted variability. The production method and seismic performance of autoclaved aerated concrete blocks are the subjects of this research.

Strength Analysis of Paver Block Using Fly Ash

Authors -M. Tech. Scholar Sachin, Asst. Prof. Anuj Verma

Abstract- – The solid and hollow paver blocks made from precast cement concrete are thought to be a flexible, beautiful, functional, and cost-effective alternative to conventional road construction methods. Paver blocks are useful in a wide range of traffic situations, from light to heavy. Paver blocks are superior to traditional avenue methods in that they need little or no maintenance. When they’re made with care and placed out properly. There are two areas of concern: failure due to surface wear and a wide range of mechanical strength between these blocks. Paving blocks are a common technique for constructing pathways that are ideal for uses such as driveways, walks, patios, public utility areas, garages, and so on. According to IS 15658: 2006, paver blocks may be used in Low Volume Traffic Roads if they are cast with M 35 concrete and are 60 mm thick. In this test, concrete paver blocks with a thickness of 60 mm and a M 35 concrete grade are cast. Fly ash, a waste product of the stone industry that is formed as a byproduct during the device for reducing and crushing stones, will be used as the first-combine in this initiative. With the help of a method, a fine combination will be replaced. Look at how compressive energy and flexural power are done on paver blocks using fly ash (which is held on a 4.75 mm IS sieve) up to a 100 percent at a 10% c programmed language period. The stable’s functionality is also examined.

Fault Ride Protection of the Motor-Generator Pair System for Renewable Energy Systems

Authors – M.Tech. Scholar Aishwarya Pandey, Asst. Prof. Bhanu Pratap Singh

Abstract- – Now days the world has reached to a point when integration of renewable energy sources like the wind energy, solar energy etc. with the electricity grid of the country will have a greater role As such when the global warming rate has reached to distressing rate in the world. Also there will be problems while implementing the connection of wind turbines and any other renewable energy sources with grid. One of the problems related to this is called ‘Fault ride through disturbances’ this work proposed asynchronous Motor and Generator Pair (MGP) system as a probable solution for the integration of renewable energy to recover inertia and improve network stability. In this work analyze briefly the Fault Ride Through scenario of wind energy conversion system (WECS) and solar system with this work establish the Dynamic Voltage Restorer (DVR) configuration or manage strategy. To compensate for power for each phase disjointedly, a closed loop PI manage law is proposed in d-q reference frame. The proposed technique provides fast response and effectual case recompense functions and run a MATLAB/SIMULINK simulation of such type of Low Voltage Fault Ride through Scenario, as well as analyzing the results.

A CNN based Deep Learning Approach for Covid-19 Diagnosis and Prediction in Artificial Intelligence

Authors -Research Scholar Amit Pandey, Associate Prof. Dr Anshuj Jain

Abstract- – COVID-19 outbreak has put the whole world in an unprecedented difficult situation bringing life around the world to a frightening halt and claiming thousands of lives. Due to COVID-19’s spread in 212 countries and territories and increasing numbers of infected cases and death. It remains a real threat to the public health system. This paper proposed a CNN based deep learning method to predict the seriousness of the decrease in COVID-19 infected patient. Using this novel method, the proposed model can both take in a large number of heterogeneous features, such as census data, intra-county mobility, inter-county mobility, social distancing data, past growth of infection, among others, and learn complex interactions between these features. The simulated results shows that the 77.5% accuracy to detection of covid-19. Precision, recall and Fmeasure values is also optimized and its gives significant better performance.

Literature Review, Problem Statement for Development of Electric Garbage Vehicle with Differential

Authors – M. Tech. Scholar A J Mohite, S Wasunde

Abstract- – – An Literature Review is conducted to investigate recent research and current state of practice related to design developments of Electric Garbage Vehicle with differential. India generates 62 million tonnes of waste each year. About 43 million tonnes (70%) are collected by different municipal corporation and civic bodies through contract labor The garbage rickshaws, garbage trucks , hand driven garbage carts etc are in use. Although majority of the collection is still done using hand push carts which have limitation on carrying capacity and speed of travel. On the other hand with the increasingly severe environmental problems around the world, exploitation of clean and renewable energy has been a crucial topic As indispensable transportation in modern society, vehicles are ubiquitous but also one of the main sources of pollutants. Because of their status, it is almost impossible to decrease the volume of vehicles. One solution to lowering emissions is the electric vehicle, Overall, the electric vehicle is more energy efficient, environmentally friendly, and cleaner than the vehicle that relies on fossil fuels especially when smart grids have become omnipresent , considering this electric vehicle will be used increasingly in the times to come. The differential is an important part of the automobile transaxle . The purpose of the differential is to distribute power to the two rear wheels and provide differential speed to the vehicle wheels when the vehicle takes a turn. The project work aims at design development of differential system for an electric vehicle for garbage with carrying capacity of 200 kg driven by single operator or garbage collector. The electric vehicle will have a travel speed of 6 to 10 kmph along with an compact electrical jack for dumping. The objective is to expedite the garbage collection with minimal effort to the labor.

Exploration of New Emerging Trends during Midyear 2020, For Building Construction & Civil Engineering: An Overview

Authors – Asst. Prof. Ar. Gayatri Mahajan

Abstract- – The change is constant but evolving to future demand & is the need of construction. Advanced construction technology (CT) covers a wide range of modern techniques & practices that encompass the latest developments in material technology, design procedures, quantity surveying, facility management, services, & structural analysis & design, & other management studies. In this paper, we have incorporated & adopted technologies mainly; BIM, Augmented Reality/Virtual Reality, modular construction, offsite manifesting, prefabrication, 3D printing, Robotics, Mobile technology, AI, wearable, architect design ,construction software, sustainable construction, green technology, &GPS controlled equipment for better understanding and their utilities in the construction industry(CI)& civil engineering (CE) also. This study also extends & cover objectives based on (i) to set a revolution in CI/CT trends (ii) How technology is changing the CI/CT (iii) Advanced BIM application in CI (iv) the new age of CE& CT (v) looking to the future advances in CI. It also reveals that practicing these technologies, in CT/CI/CE increases levels of quality, efficiency, safety, sustainability, & economics. The data & information comprise of recent sources such as websites (68%), journals (15%), blogs (8%), survey & report (42%), books (2%), Conference & proceeding papers(3%), & thesis(1%) analyzed in-depth useful for academicians, engineers & students also. The results reveal that construction trends vary from 5 to 10; however it reaches 27 in case of CE. The perspective of the most recent innovation, trends, tools, challenges, & solutions adopted in the field of building construction & civil engineering is emerged for near future.

Loss of Energy Yields of CIGS-Based Photovoltaic Modules, Caused by Dust Deposition

Authors – El Hadji Abdoulaye Niass1a, Awa Dieye1, Oumar Absatou Niasse1, Zakaria Makir2, Nacire Mbengue1, Pierre Tavarez1, Moulaye Diagne1, Zouhair Sofiani2, Bassirou Ba1

Abstract- – The aim of this article is to study the energy yield losses of CIGS-based photovoltaic modules, caused by dust deposition. The study concerns two flexible PV (photovoltaic) modules of the same technologies (CIGS), of the same power, (90W) each, of the same efficiency Դ (14%) and manufactured by the same company SHENZHEN SHINE SOLAR CO, LTD. After characterization tests and determination of initial values, these modules, denoted respectively M1 (SN-CIGS90) and M2 (SN-CIGS90) were exposed in the real operating conditions of the Center for Studies and Research on Renewable Energies , located in Dakar for three months, corresponding to the duration of the experience. During these three months of research, the module M1 has undergone a weekly cleaning and M2 is exposed without cleaning. The comparison of the variation rates obtained on the experimental values of the two modules shows that the deposition of dust considerably reduces the energy yield of the CIGS solar modules. In fact, the M2 module, exposed for three months without cleaning, lost 29.289% of its efficiency while the M1 module, cleaned every week, lost only 09.164% of its efficiency. That’s a difference of 20.125%.

A Review on Bidirectional Grid-Connected Single-Stage Converter with Unfolding Circuit

Authors -M.Tech. Scholar Anil, Prof. Manish Kethoriya

Abstract- – The purpose of this work is to review on PV Module and Bidirectional DC-DC Converter using fuzzy logic control algorithms. Fuzzy logic naturally provides an excellent controller for such nonlinear applications. This method also benefits from artificial intelligence methods that can overcome the complexity of modeling nonlinear systems. This work presents a optimize energy extraction in photovoltaic (PV) energy systems. The maximum power of the photovoltaic module will change due to changes in temperature, solar radiation and load. To maximize efficiency, the photovoltaic system uses a maximum power point tracker (MPPT) to continuously extract the most power that the solar panel can generate and then pass it on to the load. The overall structure of the MPPT system consists of a DC-DC converter (an electronic device that converts DC energy from one voltage level to another) and a controller. During changes in weather conditions, MPPT uses a tracking algorithm to find and maintain operation at the point of maximum power. Many different algorithms for MPPT have been proposed and discussed in the literature, but most of these methods have disadvantages in terms of efficiency, precision, and flexibility. Due to the non-linear behavior of the current voltage characteristics of the PV module and the non-linearity of the DC-DC converter due to switching, conventional controllers cannot provide an optimal response, especially when dealing with a wide range of shifting line parameters and transients.

A Survey on Network Intrusion Detection System Types and Features

Authors -M.Tech.Scholar Raj Kumar Yaduwanshi, Prof. Manorama Malviya

Abstract- – Digital computer network reduces the load of communication and increase the dependcy of many individual, organization, nation, etc. This network uses attracts the intruders to do unfair activities, hence detection of such action is an important security issue. In this paper network intrusion detection systems were introduced with its requirement and application. Paper has summarized different types of attacks used by intruders for doing unethical activity. Many of scholars has done lot of work in this research area and proposed many models for intrusion detection. This paper has brief few of proposed models with techniques of intrusion detection. Paper has detailed a dataset UNSW-15 in the paper for understanding of intrusion relation features.

Exploration of New Emerging Trends during Midyear 2020, For Building Construction &Civil Engineering:An Overview

Authors – Asst. Prof. Ar. Gayatri Mahajan

Abstract- – The change is constant but evolving to future demand & is the need of construction. Advanced construction technology (CT) covers a wide range of modern techniques & practices that encompass the latest developments in material technology, design procedures, quantity surveying, facility management, services, & structural analysis & design, & other management studies.In this paper, we have incorporated & adopted technologies mainly; BIM, Augmented Reality/Virtual Reality, modular construction, offsite manifesting, prefabrication, 3D printing, Robotics, Mobile technology, AI,wearable, architect design ,construction software, sustainable construction, green technology, &GPS controlled equipment for better understanding andtheir utilities in the construction industry(CI)& civil engineering (CE) also. This study also extends & cover objectives based on (i) to set a revolution inCI/CT trends (ii) How technology is changing the CI/CT (iii) Advanced BIM application in CI (iv) the new age of CE& CT(v) looking to the future advances in CI.It also reveals that practicing these technologies, in CT/CI/CE increases levels of quality, efficiency, safety, sustainability, & economics. The data & information comprise of recent sources such as websites(68%), journals (15%), blogs (8%), survey & report (42%), books(2%), Conference & proceeding papers(3%), & thesis(1%) analyzed in-depth useful for academicians, engineers & students also. The results reveal that construction trends vary from 5 to 10; however it reaches 27 in case of CE. The perspective of the most recent innovation, trends, tools, challenges, & solutions adopted in the field of building construction & civil engineering is emerged for near future.

A Solar Power Generation and Fault Effect
Analysis in MATLAB

Authors – Kiran Pure, Asst. Prof. Deepak Bhataniya

Abstract- – Power from the distributed energy renewable sources DER’s must be controlled to match the load requirements. A control scheme should be adopted to regulate the power flow from the DERS to maintain quality and reliability of supply. Integration of this DER’s that are fundamentally active transforms the distribution network further into a multi-source system allowing two-way power flows. Major concerns associated with these are voltage and frequency imbalance in the system. In this paper, different faults in a smart grid are characterized and classified. Methods used to identify these faults are systematically reviewed and reported with a view of identifying the challenges and the trends.

Performance Optimization of Absorption Refrigeration Systems Using Box-Behnken Design and Central Composite Design

Authors – M.Tech Scholar Ranjana Kushwaha, Prof. Dr. Nitin Tenguria

Abstract- – In this paper, the statistical analyses of the ammonia-water absorption refrigerant system (ARS) are presented. For this purpose, different surface response methods, including the Central composite design (CCD) and Box- Behnken design (BBD), have been studied and compared first to obtain the best response. An attempt is made to study the effect of generator, evaporator, condenser and absorber temperature on the system’s response. Based on the design of experiment analysis, regression models are presented to quantify the effects of these parameters on coefficient of performance (COP) of the LiBr-water absorption refrigerant cycle.

The Face Mask Detector System: An Approach to Reduce the Risk of Corona Virus Spread

Authors – S. Mohammad Eliyas, Prof. S. Swarnalatha

Abstract- -The present scenario of COVID-19 demands an efficient face mask detection application. Since disease is wide spreading across globe and affecting the world dangerously, it becomes crucial to implement few rules to minimize the risk. Reports indicate that wearing face masks while at work clearly reduces the risk of transmission. The main goal of this project is to implement Face mask detector system at entrances of colleges, airports, hospitals and where chances of spread of COVID-19 through contagion are relatively higher. It is an object detection and classification problem with two different classes (Mask and without Mask). In this paper we propose a system that restricts the growth of COVID-19 by, while entering the place everyone should scan their face and then enter ensuring they have a mask with them. If anyone is found to be without a face mask, alert will be generated. Moreover, developing the face mask detector system is very crucial in this case. This paper aims to develop the face mask detector which is able to detect any kinds of face mask. In order to detect the face mask, a Viola Jones algorithm is used. The proposed face masks detector system able to detect the people who wear and do not wear the face mask accurately. This paper provides a precautionary measure of COVID-19.

Towards Assimilating and Reconciling Customer Pain Points of Food Delivery and Logistics Industry: A Design Science Approach

Authors – Sugun Segu, Krutarth Manish Bhatt, Harshmeet Singh Chandhok, Sayanta Paul, Hitesh Hinduja

Abstract- – The fundamental objective of this paper is to contribute to the strain of research for understanding the customer pain points experienced in the food and logistics industry and come up with possible. Artificial Intelligence based solutions. Primarily, we have focused on three crucial aspects to improve the entire process of the online food delivery and logistics industry, i.e., uncovering customer pain points, comprehending business obstacles, and achieving an overall synchronization of the end-to-end process. This paper addresses such concerns by using state-of-the-art advanced technologies like Artificial Intelligence, Block chain, and more. Every potential method mentioned in this paper also describes the features used to build this technology with a detailed understanding of every feature proposed. The article also discusses the future challenges faced after incorporating state-of-the-art techniques to improve processes and systems further.

Thermal analysis of I.C. valve with Variation in base Surface Using ANSYS

Authors – M.Tech. Scholar Aman Kumar, Asst. Prof. Dr. Ram Gopal Verma

Abstract- – Poppet valves are the inlet and outflow valves of internal combustion engines. The valve mechanism controls these valves. When valves are exposed to high temperatures, thermal evaluation is critical for predicting and stopping valve failures. The valve train’s primary function is to guarantee that the gases change direction at all engine speeds. The I.C. valve devices’ structure. These components are found in the engine and are responsible for recognising the position of the piston and crankshaft and actuating the entry and exhaust valves at the appropriate times. Thermal analysis of 99.3cc poppet valves is modelled and simulated in this work. Modeling of the valves was done in ANSYS using solid function and thermal analysis. Thermal analysis was used to determine the directed heat, total heat stream, and temperature. For each valve, we employed structural steel material and proposed the appropriate content on a thermal basis. Thermal analyses of the valve in stationary state must be performed using 3 mm fillet poppet thicknesses at apertures of 8 mm, 10 mm, and 12 mm, as well as 3 x 45 degrees chamfer at apertures of 8 mm, 10 mm, and 12 mm at an angle of 45 0. Concave, convex, and flat valve bases are the three types of base designs available.

Body Position of Soccer Players: Kuala Lumpur City FC versus Melaka United FC

Authors – Mohd Harridon

Abstract- – Soccer is very popular among the masses and it had conjured millions of spectators. With this, teams pressed tremendously to win and with the right technique players would be efficient in the field and this would contribute to wins. One of the techniques in soccer is the Body Position where with the correct Body Position the player could receive and pass the ball swiftly, accurately, and concretely. This paper analyzed the Body Position of soccer players from two competing teams in Malaysia where both these teams played against each other and video analysis of that particular match was examined.

A Review on Coconut Fiber and Marble Waste

Authors – Shivendra Awasthi, Asst. Prof. Mr. Anuj Verma

Abstract- – Coconut fiber is extracted from the outer shell of a Coconut. The common name, scientific name and plant family of coconut fiber is Coir, Cocosnucifera and Arecaceae (Palm), respectively. There are two types of coconut fibres, brown fiber extracted from matured coconuts and white fibres extracted from immature coconuts. Brown fibres are thick, strong and have high abrasion resistance. White fibres are smoother and finer, but also weaker. Coconut fibres are commercial available in three forms, namely bristle (long fibers), mattress (relatively short) and decorticated (mixed fibers). These different types’ of fibres have different uses depending upon the requirement. In engineering, brown fibres are mostly used.

Design and Analysis of Pantograph
Mechanism using ANSYS

Authors – M.Tech. Scholar Narandra Moray, Associate Prof. Dr. Ram Gopal Verma

Abstract- – Study the dynamic performance of a pantograph–catenary system has been a subject of debate as the use of high-speed trains has expanded. We used the mode-superposition method to create a pantograph–catenary-coupled dynamics model that included the contact surface; we analyzed the characteristics of the model surface’s strength parameter using a large amount of measured data; and we determined the characteristic parameters based on their influence on the system. Performed in a symbiotic manner. This study suggests a dynamic pantograph and catenary model that accounts for icing. The pantograph is built using a lumped-mass model, whereas the catenary is built using a finite element technique. two distinct materials i.e. aluminum and AL MMC are used to analyze the pantograph model study of the catenary system.

Survey on IoT Network Security Challenges and Techniques of Detection

Authors – M.Tech. Scholar Rakhi, Asst. Prof. Sumit Sharma

Abstract- – Technology improve life of human at every stage but small network increase this comfort by various appliance. Network appliance mostly depends on IoT 9Internet of Things), hence intruders always take advantage of such weak network. This paper has survey on different requirement of IoT network and its importance in human life. Types of attack were also discuss in the paper with its attack pattern. In order to protect from such attacks network uses intrusion detection system for the safe communication of devices. Basic architecture of the IDS were elaborate in paper with its types. This paper cover different techniques proposed by scholars in field of IoT network intrusion detection system. Some of primary evaluation parameters were also discuss in the paper.

Vortex Tube with CFD Analysis Using FEM Method

Authors – Praduman Kumar Yadav, Prof. Dr. Anil Kumar

Abstract- – In the study effort the Vortex tube and the inherent phenomena of swirl production are investigated and understood. It is a mechanical device with no moving components. The splitting of the flow into low- and high-temperature zones is called the temperature separation effect. The output of the vortex tube is determined by two main parameters: one is the working parameter, for example, intake pressure for compressed air; the other is geometric parameters, such as nozzle number, nozzle diameter, cone valve angle, hot side tube length, hot opening diameter and vortex tube material. The Vortex tube has fascinating functionalities and many industrial applications and is employed as a cooling unit in industry as a refrigerator.“The purpose of this study is to illustrate the working principles of vortex tubes, energy separation phenomena, geometric factors that influence vortex tube performance, and the analytical effect of CFD. This paper includes equations and boundary criteria for examining the vortex tube. Hypertension, viscosity, turbulence, temperature gradient, and secondary circulation are all examples of temperature separation. Furthermore, studies have shown that CFD analysis assesses various kinds of nozzle profiles as well as the number of nozzles. CFD analysis was performed to establish the highest warm-gas temperature and the lowest cold-gas temperature using different shapes and dimensions of the hot end valve. The boundary conditions of the necessary vortex flow have been modified.

A Complete Study on Natural Fibre Reinforced Composites Used in Brake Pads

Authors – Mr. Saravanan P, Mr. Agatheesh Senthil Y, Mr. Prethish Haran M

Abstract- – A Brake pad plays a vital role in stopping the vehicle effectively. The kinetic energy of the moving vehicle is converted in the form of heat. The brake system has been upgraded and is working much better than before. It is one of the critical parts in the car, due to its possible weakness, may become dangerous to the safety of passengers in extreme conditions. So, it is essential to design a Brake pad using a material with high strength and at the same time it should be environment friendly as much as possible. This paper aims to study comprehensive environmental impact of braking systems, to avoid the risk of mineral and synthetic fibres such as asbestos and carbon fibres, which may release hazardous dust during a collision between the brake pad and disk and to design eco-friendly brake pad as much as possible. The brake pads are what actually rub against the drums or rotors. They are made of composite materials and are attached to brake calliper or brake drum. Asbestos was previously used in brake pads because of its robust chemical and mechanical properties. It is insoluble in water and organic solvents, nonflammable, have an excellent tensile strength that surpasses that of steel. But asbestos is no longer considered safe for application in brake pad production due to hazardous dust and gases it releases, which cause carcinogenic cancer and other damages to health. This project is to build a non-asbestos natural fibre-imposed brake pad with organic ingredients and other composite materials which provides predominantly organic materials, involves natural and lesser treatment processes, eco-friendly and cost-effective means of solving the problem.

Document retrieval using Natural language Processing

Authors – Asst. Prof. Madhav Sharma, Asst. Prof. Vijay Mohan Shrimal

Abstract- – The problem for modern information technologies and web-based services is to choose, filter, and preserve ever-increasing amounts of textual data to which frequent access is necessary. Text Categorization is a subtask of Information Retrieval that allows users to browse the collection of texts related to their own interests more easily by navigating across category hierarchies. This paradigm is extremely beneficial not only for retrieving and filtering information, but also for developing user-driven web services. Because of the large quantity of documents involved in the aforementioned applications, automatic data classification is required. In most statistical Machine learning models, the bag-of-words representation is utilized to train the goal classification function. Single words from the documents are used as features to learn the statistical models. Typical natural language structures such as morphology, syntax, and semantic are completely ignored in the creation of the classification function. On the other hand, the semantic information provided by Text Categorization models has yet to be used in the most important natural language applications. Information extraction, question/answering, and text summarization should all include category information since it aids in the selection of domain knowledge that language applications typically use in their processing.

Survey on Motion Blur Detection & Removal

Authors – Ranjini, Chidanandamurty MV, M Z Kurian

Abstract- – An image which gives a visual representation and information of an object or a person. When the image of an object or person is in a motion, same time the image is captured by a camera it results in motion blur image. Also, the image gets blurred when there is shaking of camera and due to its lens adjustments. In such cases to overcome the blur at an image there is a need to detect the occurrence of blur at the image and remove the artifacts to restore the original image without any loss of information which is hidden behind the motion blur. Here our survey is to detect the motion blur at an input image and retrieve back the enhanced original image, from blurred condition.

Industrial Engineering Tools in Manufacturing Industry to Improvement Productivity

Authors – Asheesh Kurmi, Prof. Mukesh Singh Baghel

Abstract- – This research study proposes an innovative analysis for controlling the defects in manufacturing industry. In this analysis, pipe bending process is concentrated. The component selected has often rejected due to flattening and crinkling of cross section of tube defects. Six Sigma, the zero defect approach, is used in this study. Define measure, analyse, improve and control (DMAIC) problem solving methodology is applied for problem analysis. Taguchi’s experimental design is used for process validation and improvement. The confirmation experiment showed that the rejection rate was reduced to 6.77 % from 21.66 % in case of flattening defect while rejection rate was reduced to 8.22 % from 16.77 % in case of crinkling defect. The application of Six Sigma program with Taguchi technique has developed an innovative cost effective methodology for controlling defects in less experimental time.

A Review on Fault Ride Protection of the Motor-Generator Pair System for Renewable Energy Systems

Authors – M.Tech. Scholar Saurabh Vishvakarma, Prof. Alka Yadav

Abstract- – Based on power balance and stability of power grid, pumped storage power station plays an important role in modern power system. Motor-generator is the main equipment of a pumped storage power station. The fault rate and operation reliability of motor-generator is directly related to safe and stable operation of the power station and even the power grid. This paper summaries different types of faults with several examples of fault treatment of large-scale motor-generators, and puts forward corresponding countermeasures and suggestions, which provides a good reference for similar fault prevention and diagnosis.

Edm technique analysis using tag chi technique And Process Parameters

Authors – Mohit Kumar, Prof. Dr. Anil Kumar

Abstract- – As a part of EDM, various techniques are put in to improve the material removal rate (MRR), surface roughness (SR) and tool wear rate (TWR) by using different electrode combinations, material thickness with respect to different values of discharge current and pulse on duration. However, machining parameters are stillvery effective while machining.For surface Roughness values [Ra] data, we’ve found that at high pulse on time and lowdischarge current, the surface roughness is good but as we increase the discharge current to get more MRR, the SR decreases, so we have to set parameters at optimum value to get significant values/throughput of MRR, TWR and SR.

The Effects of Storytelling in Recognizing Numbers and Numbers Sense on Grade 2 Pupils in Anonang Elementary School

Authors – jennie Serondo, Kiamel Glend Dambaan, Jhake Magsico, Jovenil Bacatan

Abstract- – This study aimed to determine the effect of storytelling in recognizing numbers and number sense of Grade 2 pupils in Anonang Elementary School. This study was realized with the cooperation of a total of forty-eight (48) pupils, Twenty-four (24) pupils from the control group and twenty-four (24) pupils from experimental group were considered as respondents of the study. This study employed a quantitative research design using experimental method. A researcher-made questionnaire was used in gathering data which was validated by a panel of experts. The statistical tools used in this study were the average weighted mean and t-test for independent samples. Based on the mean gain scores, there was a significant difference between the experimental and control group. This means that the storytelling is found effective in recognizing numbers and number sense. It further means that the method is recommended to use in enhancing the skills of the learners to recognize numbers and number sense.

Social Distancing Indicator

Authors – V.Sai Anusha, K.Shilpa, K.Deepanjani, U.Moulali, C.V.Gouri Priya

Abstract- – Infections by the coronavirus have been reported in millions of people around the world, and this number is expected to rise. When people come into contact with an infected person, the virus spreads. If you’re concerned about COVID-19’s spread through the social network, this paper introduces a new “smart social distance system” that lets people keep a safe distance from each other in both indoor and outdoor settings. When a person’s social distance is less than a predetermined threshold, the wearable prototype of a low-cost electronic device is activated to alert the wearer to the situation. Testing of the new social system found that it had a 96.1 percent acceptance rate and a low localization error (6 m).

A Review of Performance Analysis of MPPT Connected Solar Photovoltaic System

Authors – M.Tech. Scholar Rahul Rana, Guide Abhishek Dubey, Head Dr. Shweta Chourasia

Abstract- – For electric power generation, solar technology is the preferred trend. Solar photovoltaic systems connected to the grid are a cost-effective way to generate electricity on a large scale. Such large power systems operate effectively on the grid. A 150KW grid connected solar photovoltaic system was designed and modelled in this study, and the results were compared to real-time data. Renew System Cells is the model used for real-time data. It’s a Silicon Polycrystalline Module. We looked at the design and annual performance of a grid connected solar photovoltaic power plant in this paper. We also looked into how the output power of the SPV system degraded.

Continuous Wavelet Transform for Seismic
Wave Analysis

Authors -Asst. Prof. T. Jayasree, Ph. D Research Scholar N. Malini

Abstract- – Wavelet transform is a signal processing technique that is used to analyze non-stationary seismic waves. The wavelet transform has been utilized as a strong signal processing tool in a variety of applications, including compression, time-frequency analysis, earthquake parameter calculation, and climate research, among others. In the study of time-frequency information in non-stationary signals, the continuous wavelet transform (CWT) has played an important role. As a result, we may describe the vulnerability of seismically active regions and local topological characteristics utilizing wavelet techniques.

A Survey on Medical Image Diagnosis Features
and Techniques

Authors – Phd Scholar Pushpendra Anuragi, Dr. Pratima Gautam

Abstract- – Medical science works in different field for increasing the understanding of living organism. Medical image is great tool to understand the status of different disease. To improve the diagnosis of health reports researcher introduce automation. In this paper different type of medical images were introduce with their requirements. Methodology proposed by various scholars was detailed in the paper. This paper has summarized image features used for the processing of image. Medical image diagnosis genera techniques were also summarized in the paper for clearing the use of techniques with outcomes. As image pass through medium hence disturbance occur in original data, so attacks on image were also detailed.

A Survey on Attacks Detection in Wireless Sensor Network

Authors – M.Tech. Scholar Shireen Fatima, Dr. Shaheen Ayyub

Abstract- – A number of solutions have been developed using Wireless Sensor Networks (WSN). The main goal of a wireless sensor network is to enable different devices to communicate with one another. As a result, this virtual network assists the client in gathering and transmitting data via the Internet. WSN is, at the end of the day, an extension of the digital world that now includes tangible objects from the real world. WSNs were widely used for detecting and observing traffic, securing country borders, and analyzing pollutants, among other things. In light of the working technique for WSNs, security is the most basic and fundamental concern in wireless frameworks. Power consumption-related attacks, bandwidth-related attacks, routing-related attacks, identity-related attacks, and privacy-related attacks are all discussed in detail in this work. Researchers in this subject offered and created research solutions, which were also addressed. Finally, numerous strategies for detecting various forms of WSN assaults were addressed, which aid in the identification of hostile nodes in wireless networks.

Performance Optimization of 32 Bit RISC Processor Using Genetic Algorithm

Authors – M.Tech. Scholar Jatisha Patel, Asst. Prof. Er. Deepak Sharma, Asst. Prof. Er. Mukta Sahu

Abstract- – Genetic algorithms (GAs) With 32 bit concept are used to solve search and optimization problems in which an optimal solution can be found using an iterative process with probabilistic and non-deterministic transitions. However, depending on the problem’s nature, the time required to find a solution can be high in sequential machines due to the computational complexity of genetic algorithms. This work proposes a full-parallel implementation of a genetic algorithm on field-programmable gate array (FPGA) to perform as similar operation like as 32 bit RISC Processor. Optimization of the system’s processing time is the main goal of this project. Results associated with the processing time and area occupancy (on FPGA) for various population sizes are analyzed. Studies concerning the accuracy of the GA response for the optimization of two variables functions were also evaluated for the hardware implementation.

Parental Involvement and Students’ Attitude: It’s Influence on Students’ Achievement in Mathematics in the Modular Distance Learning

Authors – Ariston G. Vasquez, Alfred Rey G. Vasquez

Abstract- – With school learning continuity plans requiring children to learn at home, parents take on a daunting responsibility. They facilitate and guide their children through the self-learning modules obtain at schools in the given schedule. This paper investigated the influence of parental involvement and students’ attitude in the mathematics achievement of students. It involved a population of 84 grade 10 students identified through simple random sampling. Utilizing a descriptive-co relational research design, data were gathered through survey questionnaires administered via Google forms. Results revealed that most of the students had a moving towards mastery level in their mathematics achievement and had a moderately positive attitude towards mathematics. Results further showed that there is no significant relationship between parental involvement in mathematics achievement and attitudes towards mathematics. It is suggested that schools and parents must establish a strong partnership in the education of their children..

An Analysis of Building with Different Height of Shear Wall at corners at Seismic Zone-III

Authors – Research Scholar Praveen Gupta, Aditya Lakhera

Abstract- – Shear wall systems are one of the most commonly used lateral load resisting systems in high-rise buildings. Shear wall has very high in-plane stiffness and strength, which could be used to simultaneously resist large horizontal loads, and supports vertical or gravity loads. In multi-story buildings to resist lateral forces incorporation of shear walls has become inevitable. It is very necessary to determine the effective, efficient, and ideal location of the shear wall. This paper’s study of G+5 storey building in zone-III is presented with some preliminary investigation which is analyzed by changing various heights of the shear wall at the corner position. This paper determines the node displacement, maximum shear force, maximum moment, and base shear with the help of STAAD-pro software. The building is modeled with a floor area of (28m*18m) with 7 bays along 28m span every 4m and 6 bays along the 18m span every 3m and each storey height is 3m.The analysis is carried out using STAAD-pro software. Analysis and comparative study have been done placing of the shear wall at different heights of building at the corner position.

Literature Review, Problem Statement for Development of Electric Garbage Vehicle with Differential

Authors – M.Tech. Scholar A J Mohite

Abstract- – An Literature Review is conducted to investigate recent research and current state of practice related to design developments of Electric Garbage Vehicle with differential. India generates 62 million tonnes of waste each year. About 43 million tonnes (70%) are collected by different municipal corporation and civic bodies through contract labor The garbage rickshaws, garbage trucks , hand driven garbage carts etc are in use. Although majority of the collection is still done using hand push carts which have limitation on carrying capacity and speed of travel. On the other hand with the increasingly severe environmental problems around the world, exploitation of clean and renewable energy has been a crucial topic As indispensable transportation in modern society, vehicles are ubiquitous but also one of the main sources of pollutants. Because of their status, it is almost impossible to decrease the volume of vehicles. One solution to lowering emissions is the electric vehicle,Overall, the electric vehicle is more energy efficient, environmentally friendly, and cleaner than the vehicle that relies on fossil fuels especially when smart grids have become omnipresent , considering this electric vehicle will be used increasingly in the times to come. The differential is an important part of the automobile transaxle . The purpose of the differential is to distribute power to the two rear wheels and provide differential speed to the vehicle wheels when the vehicle takes a turn. The project work aims at design development ofdifferential system for an electric vehicle for garbage with carrying capacity of 200 kg driven by single operator or garbage collector.The electric vehicle will have a travel speed of 6 to 10 kmph along with an compact electrical jack for dumping.The objective is to expedite the garbage collection with minimal effort to the labor.

The Impact of Turbo Swirl Effect on Gas Flow Uniformity in Catalytic Converter and Modeling Methodology

Authors – Vice President Dnyanesh Dandekar, Asst. Manager Harinivas Bala, S Senior Engineer Veera Vishnu

Abstract- – At present time, global warming and air pollution are the big global issues in the environment. One of the polluting factors is emission out of internal combustion engines. Catalytic converter plays a vital role in reducing harmful toxic gases and delivering non-toxic gases to the environment. The automobile industry uses computational fluid dynamics (CFD) software to analyze the flow properties and gas distribution inside the convertor catalysts extensively. Uniformity index is a critical parameter for catalytic converter performance, which ensures the uniform exhaust gas flow distribution over the monolith. BS-VI emission legislation norms for light & heavy commercial vehicles are set to meet the uniformity index target of over 95% – 98% through monolith brick. In the current scenario, Catalytic converters are closely mounted to the turbocharger. Turbocharger creates a swirl, which greatly affects the flow distribution over the catalytic converter. The flow uniformity analysis procedure needs to evaluate and provide a precise result with testing. In this paper, we present a uniformity index calculation methodology to study the influence of turbocharger swirls. LNT, DOC, and TWC configurations methodology are simulated by segregated and coupled principles. To find the difference in, Flow uniformity; Pressure drops.

A Comparative Analysis of Primary Control in Multi Terminal HVDC Transmission Systems

Authors – Asst. Prof. K. Meenendranath Reddy

Abstract- -With recent developments in power electronic technology, high-voltage direct current (HVDC) transmission systems have emerged as a viable option for power transmission, mainly across long distances. In this paper, we proposed five terminal HVDC systems as more than two terminals. Multi-terminal high-voltage DC systems are appealing methods for linking offshore wind farms to alternating current (AC) networks. While frequency is a worldwide signal in AC grids, DC voltage can be thought of as its dual in MTDC systems. Unlike frequency, however, DC voltage cannot be equal across the MTDC system. One of the major issues with MTDC systems is the control of DC voltage. Due to intermittent nature of wind, optimum regulation of MTDC systems in the presence of offshore wind farms to minimize MTDC system loss while considering scheduled electricity is a difficulty. Here we considered the control methods of voltage margin and voltage droop methods. The VMM is considering at the cable to ground fault in the middle of a DC cable and VDM is consider at the cable to ground fault very close to a converter. A comparative analysis of control methods with a sliding mode control, the system response is fast and with very small overshoot. Effectiveness of the approach proposed is demonstrated by simulations performed with MATLAB/SIMULINK.

A Review of Friend Recommendation on
Social Media

Authors – Asst. Prof. Upendra Singh, Asst. Prof. Puja Gupta

Abstract- – One of the most popular features of social networking sites is friend referral. Social networks like Twitter and Facebook employ the friends-of-friends approach to promote individuals. Users become friends with their friends’ friends, not random strangers. Existing approaches are inefficient and have limited reach. We propose a new buddy referral model to address current system flaws. We will utilise collaborative filtering to compare user data and create a recommendation system that delivers user to user recommendations based on their comparable choices, activities, and interests. Location-based buddy referral systems are growing in popularity as they link the actual world to the digital platform. This suggestion method will expand the range of users with comparable interests and locations.

A Review of Mobile AD-HOC Network Attacks

Authors – M.Tech. Scholar Amit Kumar Yadav, Asst. Prof. Girish Gogate

Abstract- – The routing algorithm of a Mobile Ad-hoc Network (MANET) is responsible for adapting to the random changes that may occur in the network topology during its operation. MANET is a network that consists of a large number of mobile nodes that communicate with one another without the need of an integrated framework. A MANET has a self-sorting out property as a result of which each mobile node becomes associated with one another via distant connections, resulting in an irregular topology being pursued by the network. In order to avoid being attacked by hostile nodes, the distant specifically designated network is not protected against assaults by malicious nodes. This article presents the results of a writing audit of steering conventions such as AODV, DSR, and others. In addition, the article illustrates the conduct of many levels of assaults as well as defenses against such attacks, such as Black hole attacks, Wormhole attacks, Grey hole attacks, and other similar attacks.

A Review of Friend Recommendation on Social Media

Authors – M.Tech. Scholar Atul Kumar Churhe, Asst. Prof. Girish Gogate

Abstract- – Friend suggestion is one of the most popular elements of social network platforms, which suggests similar or known individuals to users. The notion of friend referral derives from social networks such as Twitter and Facebook, which employs friends-of-friends approach to suggest individuals. We may argue users do not create friends from random individuals but end up becoming friends with their friends’ pals. The previous approaches have restricted scope of suggestion and are less efficient. We propose a new buddy recommendation model to alleviate the drawbacks of present system. For improved buddy recommendation system with high accuracy, we will use collaborative filtering approach to compare similar, dissimilar data of users and will develop a recommendation system which delivers user to user suggestion based on their comparable choices, activities and preferences. Location based friend recommendation system are getting popular since it integrates actual world to digital platform and delivers greater insight into user’s preferences or interest This recommendation system will broaden the breadth of suggestion from one user to other with similar set of interest and their area.

A Review of Attacks in Mobile Ad-hoc Network

Authors – M.Tech. Scholar Kiran Singh, Asst. Prof. Prof. Megha Jat

Abstract- – A Mobile Ad-hoc Network’s (MANET) routing algorithm is responsible for responding to random changes in the network topology that may occur during operation. A MANET is a network made up of a large number of mobile nodes that connect with one another without the need of a central hub. A MANET has a self-sorting out characteristic, which causes each mobile node to become coupled with one another through distant connections, resulting in the network’s pursuit of an irregular topology. The remote explicitly specified network is not safeguarded against attacks by malicious nodes in order to prevent being targeted by hostile nodes. The findings of a writing audit of steering conventions such as AODV, DSR, and others are presented in this article. Furthermore, the page depicts the execution of a variety of attacks, as well as defenses against them, including Blac khole attacks, Wormhole attacks, Grey hole attacks, and other similar attacks.

Intrusion Detection System using Machine Learning Classification Techniques

Authors – M. Tech. Scholar Bablu Karoriya, Asst. Prof. Girish Gogate

Abstract- – On occasion, the internet may show random damaging behaviours against a single system or a network. It’s becoming harder to keep up with the rapid expansion of computer connectivity. Internet security threats are as real as in-person security issues. An intrusion detection system (IDS) is intended to detect and analyze hostile network activity. The intrusion detection system (IDS) helps detect attacks and identify attackers. Various machine learning (ML) approaches have been utilized to improve intrusion detection systems in the past. In this post, we show how to create efficient IDS using PCA and the CNN classification algorithm. PCA may be used to reduce the dimensionality of data, whereas random forest can be used to categories it. The testing will use the recommended system over KDD (Knowledge Discovery Dataset). Compared to existing approaches like SVM, Naive Bayes, and Decision Tree, the proposed methodology is assured to be more accurate. Using our proposed strategy, we discovered: Performance time is 3.24 minutes, accuracy is 96.78 %, and error is 0.21 %.

Blockchain-Based Approach for Detecting Fake News on Social Media Platforms to Ensure Transparency, Credibility, and Secure Information Verification

Authors- Premkumar R, Samyuktha J, Jeevitha J, Birundha A

Abstract-Detecting fake news as well as recognizing reliable sources of information has become a major issue of conversation inside the news industry and on social media. In the digital age, anybody may create or modify digital content with ease, then post it on social media platforms. These social networking sites facilitate contact in modern times, but they have also created novel challenges regarding their practical use, such as the fraudulent dissemination of deceptive or faux data by contagious channels. This research proposes a primitive blockchain and watermarking-based social media infrastructure to curb the spread of false information. We propose a novel blockchain paradigm to address current issues in this area. Furthermore, by identifying the source of the false information on social media, the innovative approach can aid in slowing its dissemination. Our test findings show our based on the blockchain approach is capable of sending documents instantly over a bloXroute server, which can spread data up to 100 times quicker than traditional solutions.

DOI: /10.61463/ijset.vol.10.issue1.275

Open Access and Knowledge Sharing: The Role of Institutional Repositories in Indian Higher Education

Authors- Assistant Professor Rakesh Kumar

Abstract-The open-access (OA) movement has revolutionized scholarly communication, promoting unrestricted access to academic knowledge and addressing disparities in research accessibility. Institutional repositories (IRs) play a pivotal role in this ecosystem by ensuring the long-term preservation and dissemination of scholarly outputs. In India, the adoption of IRs within higher education institutions (HEIs) has gained momentum through government initiatives such as Shodhganga and the National Digital Library of India (NDLI). However, challenges such as inadequate digital infrastructure, institutional resistance, limited researcher awareness, and policy inconsistencies hinder the widespread implementation of IRs. While prior research has explored technical and infrastructural barriers, there remains a critical gap in understanding the institutional and policy-level challenges affecting IR adoption in India. This study examines the evolution, challenges, and impact of IRs in Indian higher education by analyzing existing policy frameworks, technological advancements, and institutional strategies. By synthesizing empirical research and government initiatives, this paper provides a comprehensive assessment of IR implementation and offers strategic recommendations to strengthen India’s open-access ecosystem. The findings contribute to the broader discourse on knowledge equity, digital scholarship, and sustainable OA practices in emerging economies.

DOI: /10.61463/ijset.vol.10.issue1.276

Evaluation of Workability Properties of Geopolymer Concrete Blended With Plastic Wastes

Authors- S. Kavipriya, S. Elamathi, Kanchana B, Karthika P

Abstract-This paper aims to study the possibility of using plastic waste as a binding material as a partial replacement of coarse aggregate. It is very complicate to destroy the plastic, so the only solution is to recycle or it can be reuse, we have using lots of plastic type but particularly we were taking PVC (poly vinyl chloride) for the reuse.Fresh properties of geopolymer concrete are evaluated by slump cone test and compaction factor test by replacing 10%,20% and30% of plastic wastes by coarse aggregate. Mix design was calculated by using flyash, M-Sand, coarse aggregate, plastic wastes for M25 geopolymer concrete mix. Sodium hydroxide and sodium silicate were used as alkaline activator solution. Rest period of three days were given. Specimens were cured under ambient temperature condition. Superplasticizer of polycarboxyl based(SP430Fosroc) with 1% by volume of concrete is used in this project.

DOI: /10.61463/ijset.vol.10.issue1.277

IoT-Based Intelligent Attendance Monitoring System

Authors- Mr. R. Palani Kumar, B. Raghav Krishna, V. Saran Babu, S.A. Yogesh

Abstract-A person’s unique facial features reflect their personality. This project uses facial recognition to register attendance automatically. In universities, colleges, and schools, attendance tracking is crucial. Calling out names or roll numbers is the traditional method of recording attendance, which takes up significant time. Manually recording attendance can take up to 10 minutes, which is a substantial amount of time given that a normal class lasts approximately an hour. An automated system based on image processing is put into place to address this inefficiency. Face recognition and face detection are used in this project to confirm student identify for attendance recording. Every student’s facial information is maintained in a database, and attendance is automatically recorded when a student’s face matches a registered entry.

DOI: /10.61463/ijset.vol.10.issue1.278

Fabrication of IoT Based E-Vehicle for Physically Challenged People

Authors- J.Karthikeyan, T.Guhan, P.Navin Kishore, V.Suriya Prakash, S.Vignesh

Abstract-The Mobility is essential for everyone, yet physically challenged individuals often face limited options. While hand-operated tricycles and retrofitted scooters are commonly used, they come with drawbacks-manual bikes require significant effort, while IC engine-powered scooters are costly and need regular maintenance. To address these challenges, our project focuses on designing an eco-friendly bike powered by a BLDC motor, providing a convenient and affordable mobility solution for disabled individuals, especially those from economically weaker backgrounds. Additionally, IoT-based modules, including Arduino and a GSM module, enhance the bike’s functionality. These components collect real-time sensor data, enabling efficient monitoring and control via an Android app. By integrating IoT technology, this smart vehicle ensures greater safety, reliability, and ease of use. The system allows users to track and manage vehicle parameters remotely, offering a seamless riding experience. This innovative approach bridges the gap between technology and accessibility, promoting sustainable and inclusive mobility solutions.

DOI: /10.61463/ijset.vol.10.issue1.279