Volume 11 Issue 5 | International Journal of Science, Engineering and Technology

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

Comparative Analysis of Fuel Subsidy Removal and the Diversification Policies for Agricultural Development in Nigeria

Authors- Rimamsitse Nuhu

Abstract- The ripple effects of the petrol crisis on the Nigerian economy is multi-faceted: price distortions, volatilities, dutch disease, corruption, and inefficiencies. This study takes a comparative analysis of fuel subsidy removal and the diversification policies for agricultural development in Nigerian. The study made use of secondary data obtained from Central Bank of Nigeria Statistical Bulletins, Petroleum Product Price Regulatory Agency (PPPRA), National Bureau of Statistics, Benue State Agricultural and Rural Development Authority (BNARDA), and FAO. Johansen co-integration model and t-test were the analytical tools used. After appropriate robustness checks and ensuring data stationarity, the study found that fuel subsidy removal had significant positive influence on the country’s GDP, significantly reduced inflation rate, and also reduced life expectancy of Nigerians. Specifically, a percentage increase in petrol price significantly increases GDP by 9.8%; a percentage increase in petrol price increases the prices of rice and maize by 0.75% and 1.50% respectively when the retracted percentage is reinjected into the economy through other sectors say Agricultural. The study concludes that increased petrol price had negative effects on GDP in the short run and adverse effects on the prices of crop produce, but the result seems not find any negative relationship between GDP and crop production. This may be as a result of the reinjection of the subsidy retracted percentage back into the economy thereby causing a balance up in other sectors. Government should diversify and develop other economies and provide adequate infrastructural facilities to cushion the effects of subsidy removal. Organic and low-input methods of farming should be adopted to reduce the need for fuel inputs to the food system at all levels.

Sponsored by: ABCD-Index RAMP

Parental Involvement on Reading Readiness: Phonetic Awareness of Kindergarten Learners

Authors- Regine R. Lacbay

Abstract- When parents are involved in the education process they learn how to help their children. Not all parents know exactly how to help their child develop strong early literacy skills. It is through partnerships with teachers and schools that parents are empowered to help their children succeed at reading. Some parents involve their children in rich literary experiences, while other children are not given this important early background. It is important for parents to understand what children need in regards to early literacy. Many positive effects of parents reading to their children have taken place before children begin school. Other positive gains are made through support from parents during the primary years of school. Reading to a child at any time positively affects a child’s reading achievement. Young children learn about literacy through listening and discussing literature. Once children begin school, it is their participation in reading that appears to be positively related to their reading achievement (Lancy, 2007). As observed by the researcher who is a Kindergarten teacher, a few of her students are able to cope with the rigors of formal schooling in grade one because of the influence and support of their parents. They are able to read printed texts immediately because of the support of their parents. These students are able to read already because they read at home as they are helped by their parents. On the other hand, majority of the grade one students whose parents are not as involved in their education lag behind their reading skills. Thus, this study is undertaken, primarily to find out what is the effect of parental involvement in the achievement and success of the students in school. The effects of the parental involvement in their studies that will lead to their success in school will be determined.

Sponsored by: ABCD-Index RAMP

Scope of Retrofitting ICE Vehicle into E Vehicle in India

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

Abstract- The transition from Internal Combustion Engine (ICE) vehicles to Electric Vehicles (EVs) is a crucial step towards reducing greenhouse gas emissions. Retrofitting existing ICE vehicles into EVs offers an effective way to accelerate this transition while extending the life cycle of older vehicles. The retrofitting process involves replacing the traditional ICE components, such as the engine, transmission, and fuel system, with an electric power train consisting of an electric motor, battery pack, and associated control systems. The primary motivation for this conversion is to reduce the carbon footprint of older vehicles, making them more sustainable and environmentally friendly. Retrofitting offers several advantages, including lower operating costs, reduced maintenance requirements, and decreased reliance on fossil fuels. It also extends the lifespan of existing vehicles, reducing the environmental impact of manufacturing new cars. Furthermore, retrofitting supports the development of a circular economy by repurposing and recycling existing vehicle components. Challenges in retrofitting include addressing compatibility issues, ensuring safety and compliance with regulations, and managing the cost of conversion. These challenges can be mitigated through thorough planning, engineering expertise, and leveraging advancements in EV technology.

Early Detection of Alzheimer’s Disease: Through Neuro imaging Using Machine Learning Techniques

Authors- Zeelkumar Gajera, Yugant Kumar Gajera , Anshu Patel

Abstract- – Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that affects millions of people worldwide and has no cure. Early diagnosis of AD can help patients and their families to plan for the future, access appropriate care and support, and participate in clinical trials that may slow down the disease progression. In this paper, we review the current state of the art in using machine learning techniques for early detection of AD, and identify the challenges and opportunities for future research. We first provide an overview of AD and its diagnosis criteria.We then describe the main types of data and features that can be used for early detection of AD, such as structural MRI images, cognitive tests, or biomarkers, and the machine learning techniques that can be applied to them, such as classification, regression, clustering, or dimensionality reduction. We also compare and evaluate the performance and limitations of different machine learning techniques for early detection of AD using various evaluation metrics and criteria. Finally, we discuss the implications and applications of using machine learning techniques for early detection of AD, and suggest some directions for future research. We hope that this paper will inspire and inform researchers, practitioners, and policymakers who are interested in using machine learning techniques for early detection of AD, and contribute to the advancement of this important and promising field.

Enhancement Of Performance Potential Use Of Ggbs As A Supplementary Cementitious Material Based Geopolymer Concrete And Its Application

Authors- Jitendra Malakar, Assistance Prof. Piyush Mahajan, Assistance Prof. Jitendra Chauhan

Abstract- – Environmental issues resulted from cement production have become a major concern today. To develop a sustainable future it is encouraged to limit the use of this construction material that can affect the environment. Cement replacement material was proposed to partially replace cement portion in concrete. Geo polymer is the best solution to reduce the use of cement in concrete. Geopolymer is a hardened cementitious paste made from fly ash, alkaline solution and geological source material. In the present study, the physical properties of Ground Granulated Blast furnace Slag (GGBS) in geopolymer concrete were discussed. The results revealed that the GGBS more environmental and ecofriendly by product used in the cement industry. Also these analyses optimized GGBC compressive strength using Curve fitting algorithm. These analysis used secondary data set related to GGBC concrete.

Design and Fabrication of an Industrial Charcoal Cooker

Authors- Senior Lecturer Amiebenomo S.O, Udeji. F.O , Aigbokie J.I

Abstract- – Energy is one of the most crucial need of mankind and as a rule of thumb, substantial efforts and technologies have been channeled towards providing affordable and sustainable energy for the entire human race. Cooking happens to be a domestic as well as commercial process which requires lots of energy for boiling, steaming, frying and cooking meals. The aim of this study was to design, construct and assess the performance of a charcoal cook stove, which uses charcoal as its major fuel. The design was modeled using Solid Works to generate complex as well as base dimensions and simulate the interconnectivity of the parts. The concept of the design was to create a cooking stove which uses charcoal as its source of fuel. To do this, a required combustion chamber was created. Since fuel economy happens to be a leading subject with regards to efficiency and overall performance of energy based machines, air was mechanically added to the combustion process to enrich the burning mixtures and enhance combustion. Also, the design is a double staged cooker with a combustion chamber, with grates, ash trays, air channels and a mechanical bellow to provide air enrichment during the combustion process. The thermal efficiency of the design was evaluated by the use of the water boiling test (WBT) where the useful heat was compared to the heat generated from the fuel used. Thermal efficiency of 13.3% was obtained showing that a lot of heat is lost to the environment without doing useful work. Comparatively, the charcoal cooker was found to save 38.5% of the cost for running compared to the use of kerosene cooker. Hence, the fabricated charcoal cooker therefore has economic advantage over the regular kerosene cooker.

Level of Financial Literacy among University Students in Indonesia

Authors- Muhammad Izdihar Riduan, Assoc. Prof. Dr. Aza Azlina Md Kassim, Sumaiah binti Muhammad, Dr. Evada Dewata, S.E., M.Si., Ak., CA., CPA.

Abstract- – The transition from Internal Combustion Engine (ICE) vehicles to Electric Vehicles (EVs) is a crucial step towards reducing greenhouse gas emissions. Retrofitting existing ICE vehicles into EVs offers an effective way to accelerate this transition while extending the life cycle of older vehicles. The retrofitting process involves replacing the traditional ICE components, such as the engine, transmission, and fuel system, with an electric power train consisting of an electric motor, battery pack, and associated control systems. The primary motivation for this conversion is to reduce the carbon footprint of older vehicles, making them more sustainable and environmentally friendly. Retrofitting offers several advantages, including lower operating costs, reduced maintenance requirements, and decreased reliance on fossil fuels. It also extends the lifespan of existing vehicles, reducing the environmental impact of manufacturing new cars. Furthermore, retrofitting supports the development of a circular economy by repurposing and recycling existing vehicle components. Challenges in retrofitting include addressing compatibility issues, ensuring safety and compliance with regulations, and managing the cost of conversion. These challenges can be mitigated through thorough planning, engineering expertise, and leveraging advancements in EV technology.

Pothole Detection Using Pretrained Model

Authors- Vaishnavi Sriraman, Adhithya S Nair

Abstract- – In order to maintain the ease and safety of commuters, road maintenance is an essential component of managing urban infrastructure. Common road defects like potholes can cause accidents, damage to cars, and higher maintenance expenses. The use of pretrained deep learning models in this paper’s pothole identification method for roadways is novel. Recent developmaents in deep learning have demonstrated how well-trained models perform in a variety of computer vision tasks. In this study, we use pretrained convolution neural networks (CNNs) to effectively identify potholes on the surface of the road. The three main phases of the suggested system are data collection, model training, and real-time detection. First, we gather a sizable dataset of road photos and mark each one with the location of potholes. These photographs were obtained from a variety of data sources, including drones, smartphones, and vehicle-mounted cameras. The dataset is then divided into training and testing sets so that our model may be developed and assessed. Then, as feature extractors, we use pretrained CNN architectures like VGG16 and ResNet. These models have learnt rich feature representations through pretraining on massive image datasets. Custom layers are included for fine-tuning pothole detection. Our model generalises effectively to different road conditions and kinds thanks to transfer learning. We put the model through extensive testing on actual road photos to gauge its performance. Our findings show that pothole detection is highly accurate, with a focus on reducing false positives. We also use a mobile platform to deploy the model, enabling real-time detection and alerts. To give drivers current information regarding road conditions, this capability can be included to navigation apps. The suggested methodology provides an economical and effective method for maintaining roads and spotting potholes. We utilise the potential of deep learning to enhance infrastructure management and road safety by utilising pretrained models. The quality of urban life is eventually improved by this research’s contribution to the development of intelligent transport systems and smart city initiatives.

Finite Element Modeling And Analysis Of Gasket On Circular Bolted Flange Connection

Authors- M.Tech. Scholar Amit Kaushik, Prof. Prakash Pandey

Abstract- – In the piping industry, there are several problems that continue to receive a considerable amount of research attention, particularly in the area of bolted-flanged joint design. Two problems that are critical in bolted flanged joint design are strength of the joint and leakage. The first problem has been studied since the 1920s for metallic joints with a general consensus on the available solution well established. The second problem has been studied for almost an equally long period yet leakage analysis continues to be the subject of much study, as evident by the number of articles published in the past quarter century.Here, an analysis is presented that can be used in design formulations for the detection of leaks for a specified pressure. There are many parameters that influence joint leakage (bolt load, internal pressure, gasket material, flange stiffness, flange geometry, contained medium, etc.); of these parameters, boltload, flange stiffness, internal pressure, and gasket material appear to be most critical.

Structured And Unstructured Programming

Authors- Rosanna Festa

Abstract- – In mathematics and mathematical logic, Boolean algebra is a branch of algebra. It differs from elementary algebra in two ways. First, the values of the variables are the truth values true and false, usually denoted 1 and 0, whereas in elementary algebra the values of the variables are numbers. From Poincaré to Turing mathematics is developed at the basis of the fundamental processes.

Empowering School Students:The complete Research Journey from Ideation to Publication

Authors- Divvyam Arora

Abstract- – This article provides a concise overview of journey research journey starting from ideation to publishing for a school student. In an era of accessible information and digital resources, school students are increasingly engaging in research. This article sheds light on the research opportunities available to students and offers insights into publishing. It highlights the importance of mentorship, online resources, and research skills d in initiating student research projects. Furthermore, it discusses avenues for sharing research findings, including indexed journals, conferences, and scientific events. The step by step guide from selecting the research topic till the publication will be a helpful resource for the budding young scholars. By utilizing these opportunities, school students can embark on research pathway and contribute significantly to the world of knowledge and research.

A Review On Selective Channel Estimation And Improvement Of The Performance In Ofdm Signal For 6g Communication

Authors- M.Tech. Scholar Sanjoli Kushwaha, Assistant Professor Shravan Kumar Namdev

Abstract- – The sixth-generation (6G) wireless communication network is projected to incorporate the surface-dwelling, airborne, and naval communications into a strong network which would be more consistent, dissolute, and can provide a enormous number of devices with ultra-low potential requirements. Block chain, NOMA(non-orthogonal multiple access),quantum Machine learning(QML),edge Computing, small cells communication etc., are the highlighted technologies in the situation of beyond 5G(B5G) and 6G communication. Entire health sector will be dominated by 6G communication Technology in the upcoming era. Apart from health sectors diversified sectors are predominately occupy by 6G communication Technology. Perception of human Lifestyle are revolutionized by Artificial Intelligence based 6G communication Technology. In this paper Artificial Intelligent based 6G smart healthcare, haptic communication are briefly discussed. The key resistance of present healthcare system is time and space which is totally exhaust by implementing 6G communication technology interlinked with Internet of Things. Transportation of Patient from remote to Intensive care is facilitated by ambulance which can be serviced by normal vehicle also. Besides the hospitality for elderly peoples are very unsatisfactory most of them are died while transporting without having a proper communication. Real time date of a patient monitoring and accident detection system are lagging in the present scenario which is totally overcome by implementing AI-6G Integrated IoT based smart health care system.

Unclogging of Hindering Factors that Affect Teachers in Conducting School Based Action Research at Jorge B. Vargas MES: Basis for Intervention Plan

Authors- Dr. Jay-Ann A. Mendoza

Abstract- This study was conducted to identify and unclog the hindering factors that affect teachers in writing action research. Descriptive type of research was utilized in the study involving 22 teaching personnel of Jorge B. Vargas Memorial Elementary School. The questionnaire was filled out by the respondents through google forms and the results were properly obtained and analyzed. The results of the study revealed that a high number of teaching personnel has an average level on research writing skills in terms of familiarity which implies that the group of respondent has the capacity on research writing. Meanwhile the study also revealed that there were four (4) major factors considered by the teacher in conducting action research. These are (1) Lack of time (2) Additional workload and burden on part of the teacher (3) anxiety and (4) negative perceptions and attitudes towards writing action research paper. An intervention plan was developed to unclog the hindering factors identified that affects teachers in conducting action research.

Sponsored by: ABCD-Index RAMP

Influence Of Solar Radiation On The Performance Of Solar Flat Plate Collector In Forced Convection Mode

Authors- Research Scholar Vikram Singh,Associate Professor Bhupendra Gupta

Abstract- -A Solar Water Heater (SWH) is a typical device that converts solar energy into thermal energy to heat up a heat transfer fluid such as water, non-freezing liquid or air for domestic usage. Solar energy collectors are special kinds of heat exchangers that transform solar radiation energy intothe internal energy of the transport medium.To increase further the thermal performance of solar collectors the interaction between the radiation and mass flow rate was employed in an experimental study on a solar water heater system to evaluate better results. In this research work, experimental analysis has been carried out at different levels of solar irradiance at different mass flow rates. Results indicate that efficiency decreases with an increase in solar irradiance levels in all considered cases.

CFD-Model Of The Piston Assembly In A Dieselengine For The Analysis Of Piston Ring Dynamics,Mass Transport And Friction

Authors- M.Tech Scholar Amit Yadav, Prof. Prakash Kumar Pandey

Abstract- – A piston seems to be a component of an engine. “It is also the moving component housed within a cylinder & sealed using piston rings. A piston rod or connecting rod transfers force from expanding gas there in cylinder towards the crankshaft inside of an engine. As either a key component in an engine, the piston was subjected to cyclic gas pressure and inertial stresses during work, which can result in fatigue damage towards the piston, including such piston skirt wear, piston head or crown fractures, and so on. In this study, A in this study, a FEM analysis is presented.

Impact of Service Quality Factors on Customer Satisfaction: Research at Loc Lam Furniture Trading Service Co., Ltd

Authors- Master Nguyen Van Nhan, Master Tran Thị Thuy Van, Master Nguyen Van Luc

Abstract- – This study was conducted with the aim of improving customer satisfaction on service quality in the field of wooden furniture products. With qualitative research methods including in-depth interviews and expert group discussions, a combination of quantitative research methods including the first survey (pilot test) with 50 samples, the second survey (formal) with 306 samples. To explore the relationship between Service Quality and Customer Satisfaction. Research results have shown the level of impact of independent factors of service quality on the dependent factor is satisfaction. Accordingly, the attitudinal factor has the strongest impact, followed by design, experience, tangibles, and the lowest is technology. The research results are a guideline for wood furniture companies to have a basis to choose appropriate solutions in operation, in order to improve customer satisfaction through service quality of the business. This study contributes to the expansion of the theory of service quality in the wood furniture industry.

DOI: http://doi.org/10.61463/ijset.vol.9.issue5.101

Design and Fabrication of a 4 Bar Air Compressor

Authors- Amiebenomo S.O, Udeji. F.O , Aigbokie J.I

Abstract- – Though air is free, making it available in the right conditions cost quite a fortune and requires mechanical work to be done on the air via compressors. Hence, the purchase price and operating cost of compressors however makes it difficult for the advantages of air based technologies to be appreciated. This study focuses on the design and fabrication of a 4 bar mechanical compressor using a 6.5 Hp fuel engine. An air pump with operating torque of 20Nm to 34Nm is used to move the air from the atmosphere into a 100 psi (6.8 bar) capacity steel tank obtained from a diesel truck. The performance evaluation of the air compressor is done using the pressure gauge to obtain pressures of the air in the tank and how much work was done on the air by the compressor as it was run by the 6.5 Hp fuel engine. From the data obtained and processed during experimentation, it can be inferred that useful amount of energy can be stored in the form of pressured air using an air compressor. The process is however not 100% efficient and this is evident in the fluctuations of the pressure read by the use of the pressure gauge. Also, the efficiency and cost benefit of the air compressor was done by comparing the useful work of the air in the tank using the values form the attached pressure gauge to the work done on the air by the compressor as it is moved by the engine. Conclusively, it is shown that air is a good source of energy for useful mechanical work.

Properties of Self Compacting Concrete Using Recycled Coarse Aggregate

Authors- Nishant Patil, Prof. Mahroof Ahmed

Abstract- – The study presents the mix design for M40 grade concrete. Optimum value for recycled aggregate calculated. The results of strength test (compressive) conducted on Natural coarse aggregate concrete and Recycled coarse aggregate concrete of M40 grade for Normal water curingand sea water curing respectively. The chapter also presents the effect of sea water curing on mechanical properties (compressive strength) of Recycled coarse aggregate concrete of M40 grade. The experimental investigation also presents the durability studies like acid attack, sulphateattack, and alkaline attack of recycled coarse aggregate concrete of grade M40. It is concluded that up to 40% of replacement of recycled coarse aggregate can be safe and gave similar results to compare with natural aggregates in normal water curing and sea water curing. The loss for flexural and split tensile strength is less in sea water curing to compare with normal water curing. For durability studies itis concluded that the loss of strength in acid attack is more to compare with sulphate and alkaline attack.

Job Stress and Turnover Intention through Employees’ Job Attitude: Finding Out at District Hospital, Ho Chi Minh City

Authors- Master Tran Thị Thuy Van, Master Nguyen Van Nhan, Master doctor Nguyen Van Luc

DOI: http://doi.org/10.61463/ijset.vol.9.issue5.102

Synthetic Dye Sensitized Solar Cells with Reduced Graphene Oxide-Titanium Dioxide Photo anode And Reduced Graphene Oxide Counter Electrode

Authors- Njeru, Elosy Gatakaa, Kamweru Paul Kuria, Gichumbi Joel Mwangi

Abstract- – To meet the high energy demand while taking care of the environment, renewable energies, such as solar energy, are better alternatives to fossil fuels. Despite the high conversion efficiency of 25 % of silicon based solar cells, Dye Sensitized Solar Cells (DSSCs) are preferred due to their transparency to some extent, and are comparatively cheaper. DSSCs have four key components that determine their photoconversion efficiency (PCE) and these are; the working electrode, sensitizer (dye) coated on the porous semiconductor photo anode TiO2 film, redox-mediator (electrolyte) sandwiched between the photo anode and a counter electrode. Titanium dioxide (TiO2), has various advantages such as being inexpensive, non-toxic and it is highly photo catalytic. However, this layer suffers from high rate of electron-hole recombination resulting in a low rate of photoelectric conversion efficiency of the DSSCs. Conventionally, DSSCs uses Platinum as a counter electrode and it’s highly expensive. This work studied the performance of DSSC, with rGO- TiO2 as the photo anode and rGO as the counter electrode and various synthetic dyes (ruthenium red (N719), ruthenium (yellow), Osmium, and rhodium) as sensitizers. The target was to study the effects of the changed electrodes using these conventional dyes as the electrolytes. The XRD results confirmed the anatase form of TiO2, while the surface morphology studied by SEM revealed a mesoporous structure of the TiO2. When rGO is introduced the morphology is still mesoporous with rGO well distributed in the TiO2 which is key to improved photo conversion via reduced electron-hole recombination. The thin films of TiO2, rGO-TiO2, and rGO absorbed light within the range 350-800 nm with rGO-TiO2 having a strong absorption peak in the UV region compared to pure TiO2 thin film. For DSSCs fabricated with TiO2 as the photo anode, ruthenium red had an efficiency of 0.04%, ruthenium yellow 0.06 %, osmium 0.03% and rhodium dye had 0.03%. When rGO was incorporated in the TiO2 photoanode, ruthenium red registered an efficiency of 0.76%, ruthenium yellow 0.4%, osmium 0.03 % and rhodium dye 0.34 %. Thus, addition of rGO improved the efficiency of the DSSC with ruthenium red sensitizer ten folds from 0.04 % to 0.7 %. Thus, the improved PCE of rGO coupled with the other properties such as high transparency and conductivity, make it a good candidate for photo electrodes in DSSCs.

Thermal Analysis of Integrated Organic Rankine Cycle-Vapor Compression Refrigeration System

Authors- M.Tech. Scholar Dilip Kumar, Prof. Ritesh Kumar

Abstract- – Nowadays, there are numerous attempts in the utilization of renewable energies such as geothermal heat, wind energy, and solar energy as clean energy sources for electricity production or cooling processes. Also, waste heat can be considered as renewable and clean energy, since it is free energy and there is no direct carbon emission. Waste heat can be rejected at a wide range of temperatures depending on the industrial processes. An ejector refrigeration system and an absorption refrigeration system can be activated by thermal energy source with a temperature range from 100 to 200 °C. They have several advantages such as simple structure, reliability, low investment cost, slight maintenance, long lifetime, and low running cost. Nevertheless, they are not appropriate for thermal sources less than 90 °C and are also not appropriate for working in high-temperature surroundings. Furthermore, the minimum cooling temperature could be achieved by both systems is 5 °C. In this study thermal analysis of integrated organic Rankine cycle-vapor compression refrigeration system has been presented.

Assessment of Phenolic Compounds by Spectrophotometry: Exploring the Technique’s Limitations – A Mini-Review

Authors- Farida Benmeziane

Abstract- Several techniques are dedicated to the determination of phenolic compounds in plants. Spectrophotometry coupled with the Folin-Ciocalteu method is by far the most used technique for rapid quantification of these compounds. This review aims to bring together the most recent information on the UV-VIS spectrophotometry technique and its application in the determination of phenolic compounds. Despite its simplicity, this technique is limited by its non-specificity. However, and to remedy this obstacle, an optimization prior to the actual assay, in terms of extraction and quantification conditions, is necessary in order to obtain a content as close as possible to reality.

Sponsored by: ABCD-Index RAMP

Isotherm Modeling of the Removal of Lead and Cadmium Ions from Pharmaceutical Wastewater Using Oil Palm Empty Fruit Bunch

Authors- Agu, Emeka Michael & Odenigbo, C.O

Abstract- this review prioritized isotherm modeling of the lead and cadmium purging from pharmaceutical wastewater using activated oil palm empty fruit bunch. the heavy metals in pharmaceutical wastewater sample were revealed by the atomic absorption spectrometry analysis, which proved that lead and cadmium metals are the most dangerous metals in the sample under analysis because they exceed the acceptable limits given by world health organization. the nutritional value of the raw and activated oil palm bunch, revealed through proximate analysis, indicated an increase in adsorbent properties after chemical activation. the surface morphological perusal of the raw and activated samples revealed considerable increment in the number of the vacant pores for effective adsorption post acid treatment while the fourier transform infrared spectrometer analysis also indicated a surge in void spaces after activation because of the disappearance of certain functional groups. kinetic, thermodynamic and isotherm modeling of the purging of lead and cadmium from pharmaceutical effluents by adsorption were done using standard equations. batch adsorption study experiment was used to ascertain the effects of stirring time, temperature, and dosage of the activated palm bunch on the lead and cadmium ions removal. these process conditions were optimized with central composite design of response surface methodology with the aid of a design expert (version 13). the response was removal efficiency while the suggested model was quadratic. the predicted removal efficiencies of the adsorbent for lead and cadmium ions are 89.234% and 73.318% respectively at 69.150mins, 345.155°c and 0.266g adsorbent dosage. this was validated by carrying out the metal removal at the suggested conditions to obtain actual adsorbent removal efficiencies of87.82% and 72.51% for lead and cadmium respectively. thus, activated oil palm bunch is economically viable and practically proven biomass waste for pharmaceutical wastewater treatment.

IoT-Based Monitoring System for Turbidity and Mercury Concentration of Rivers in Ghana: Detecting Illegal Mining (Galamsey) Sites and Evaluating Environmental Impact.

Authors- Acquah Andrews

Abstract- Illegal mining, also known as “galamsey,” is a significant environmental issue in Ghana, specifically due to its negative effects on the country’s river ecosystems. The government has implemented several measures to assess the environmental impact and identify illicit mining locations. This research paper introduces an IoT-based system for monitoring water quality of rivers. The system is designed to detect and assess illegal mining activities along rivers, specifically focusing on turbidity and mercury concentration as indicators of pollution. The proposed system leverages the LoRa technology by sending turbidity and mercury sensor data processed by a microcontroller to a server through the LoRa gateway. The system has integrated a fuzzy logic-based model to make accurate predictions about pollution levels and detect the presence of an illegal mining site along the stretch of the river. The designed system passed simulations and tests to confirm that the system is capable of delivering precise and prompt water quality data. The system provides local authorities, environmental agencies, and communities with the necessary information to quickly and efficiently address environmental risks.This IoT-based system aims to protect Ghana’s water resources and promote environmental awareness and responsible resource management.

DOI: http://doi.org/10.61463/ijset.vol.9.issue5.103

Automatic Speech Analysis For Detection Of Dementia Using Machine Learning-A Survey

Authors- Assistant Professor Sandhya Gawade

Abstract- Machine learning has shown promise for automatic detection of Dementia disease through speech; however, efforts are hampered by a scarcity of data, especially in languages in English. In this paper , we give a description of the Machine Learning, speakers with Dementia, which is part of AphasiaBank but has not been described before in the literature. Next, we propose a method to classify dementia in, by combining the Machine Learning with Dementia Bank. This method extracts lexicosyntactic features independently in the two languages, and then learns a correspondence between the features using a large parallel corpus of out-of-domain movie dialogue data. We demonstrate that our method outperforms both unilingual and machine translation-based baselines. The goal of the study we present here was twofold. First, we sought to find acoustic (temporal) parameters that have a high correlation with MCI. For this, our starting point was our earlier study, where we examined the speech of Dementia patients [7]. There we compared the articulation rate, speech tempo, hesitation ratio, and rate of grammatical errors of dementia patients versus a normal control group. Our results showed that these acoustic parameters may have a diagnostic value for mild-stage dementia and thus can be viewed as acoustic biomarkers of dementia.

Estimation of the Global Solar Radiation in Anyigba Kogi State Using Angstrom-Prescott Model

Authors- Ayodele S. A., Adeyemi J. O., Ohiani O.A.

Abstract- Global Solar radiation data is a very important data, useful for solar energy installation and agriculture. Angstrom Prescott model was used to estimate the global solar radiation for Anyigba using the latitude of the area which is 7.4809 and the sunshine hour. The Angstrom Prescott model for Anyigba was found to be ▁(H_O )= (0.2324+0.6656(n/N)). Where the regression coefficient a and b were found to be 0.2324 and 0.6656 respectively. The result was validated using a 6years global solar radiation data between years 2011 to 2016.

Sponsored by: ABCD-Index RAMP

Computational Design of Cation Doped Polyacenes

Authors- Dr. Sharon Achamma Abraham

Abstract- The Barrier Heights of cation doped polyacenes are calculated computationally using DFT method and B3LYP functional. The barrier heights in kJ/mol using B3LYP functional and 6-31+G(d,p) basis set in Gaussian09 has furnished a source to design one-dimensional materials and to study rate of hopping of charges in one-dimensional materials. It is observed that rate of reaction increases when barrier heights decreases and Hmn coupling matrix element increases. The barrier heights of reactions decreases as size of cation increases Li+>Na+>K+. For OligoaceneLi+ complexes rate of reaction increases with temperature, the barrier height is 24.26kJ/mol in AnthraceneLi+ complex. This is observed in NaphthaleneLi+, AnthraceneLi+, TetraceneLi+ , PentaceneLi+ ,and HexaceneLi+ complexes. Quantum-mechanical tunneling takes place in AnthraceneNa+ complex which can be possible in all OligoaceneNa+ complexes such as NaphthaleneNa+, AnthraceneNa+,TetraceneNa+,PentaceneNa+ and HexaceneNa+ complexes. Quantum tunneling found out in OligoaceneNa+ complexes ,which depends on smaller barrier height. Since barrier height is very low 2.52kJ/mol, tunneling also takes place in AnthraceneK+ complexes. In OligoaceneLi+ complexes ,the most typical tunneling region is about 1.25kJ/mol lower than barrier top. Since tunneling occurs from regions that are closer to barrier top instead of lowest vibrational ground state,tunneling is strongly vibrationally assisted.This explains apparent lack of curvature in CVT+SCT Arrhenius plot .Because rate is very high and rate of diffusion also very high in OligoaceneNa+ complexes, these materials has applications in electrodes, biological systems , solid state graphene battery, and in electrochemical energy storage applications.

Sponsored by: ABCD-Index RAMP

Assessment of Phenolic Compounds by Spectrophotometry: Exploring the Technique’s Limitations – A Mini-Review

Authors- Farida Benmeziane

Sponsored by: ABCD-Index RAMP

Duenna AI – An Approach to Use Artificial Intelligence in Language Education

Authors- 1 Balázs Zsigmond Horváth, 2 Bence Blaske, 3 Botond Csorba

Abstract- Nowadays, more and more articles and books are published about the use of artificial intelligence in teaching. With our present research focusing on language learning, we want to examine the possibility of using artificial intelligence to write and act out dialogues for practicing listening comprehension so that classroom tasks can be brought into line with the requirements of later exams in the life of an eager foreign language learner. Only experience over time can be beneficial for accomplishing exams, summative in nature. The dialogues make use of the endless tuning options of the safeguarded guiding prompts used to instruct the AI. We would like to expand on the idea of simply communicating with applications like ChatGPT and provide students with understandable materials that are compatible with any given methodical and ethical standard. Our second aim is to develop a portable version as well for people on the go who want to enhance their vocabulary with the help of giving contexts to expressions. Language styles and moods are also explored. The main question is that can the AI provide good-enough materials for educational use? Teacher control is still a necessity, but the application can help supplement creativity when there is simply no time to just use human imagination during curriculum development. Our research is continuous and concentrates on the development of a combined application that is a simple solution for all users practicing listening comprehension to develop appropriate communication skills and to help overcome anxiety when in any speaking situation.

Interview Experience Sharing Community Using Node.js

Authors- Sanjay Rahul S, Danush Adithya P, Anuprakash S

Abstract- This study discusses methods for fully automating and revolutionizing the way interview experiences are shared and used by the students. InterXview emerges as a light of innovation and collaboration, altering the way students prepare for job interviews in a time when finding employment prospects is extremely competitive. The platform responds to the urgent demand for increased interview readiness in the current academic environment. A user-friendly online interface is provided by InterXview, which smoothly combines HTML, CSS, JavaScript, and Bootstrap for the frontend while relying on Express.js and MongoDB for a strong backend. This technological fusion offers students access to a vast database of interview experiences, arming them with knowledge about interview procedures, questions, and practical experiences. InterXview is a catalyst for change in the student community and is more than just a technological solution. It promotes an open atmosphere where active knowledge exchange takes center stage, enabling students to improve their interview preparation collectively. The platform addresses the pressing need for improved interview readiness in today’s academic landscape. The three primary contributions of our work are (a) Examines the practical applicability of the platform from both a business and literary perspective, (b) It promotes the development of critical soft skills, such as communication, problem-solving, and teamwork, through collaborative learning within the student community, and (c) a feasibility evaluation of a few particular interview experience resource sharing technique.

JobHub: A Django-Based Job Portal Connecting Job Seekers & Hirers

Authors- Rafat Muskan Shaikh, Moin Naik, Saquib Patel, Neeraj Kumar, Asst. Prof. Ramya Kanagaraj

Abstract- JobHub is an innovative web application designed to bridge the gap between job seekers and hirers. This Django-based project employs HTML, Django templates, CSS, and JavaScript with an AJAX framework to create a seamless and user-friendly experience. The platform operates on a two-user model: “job seekers” and “hirers.” Hirers can post job applications, but only if they complete their profiles to 100%. These job listings are stored in a SQLite3 database. Job seekers can view job postings and apply if their profiles are also at 100% completion. One of the key features of JobHub is real-time communication. When a job seeker applies for a job, the hirer receives an instant notification, allowing them to review and respond to each application individually. Job seekers are notified when they receive a response, ensuring a timely and efficient hiring process. To enhance user experience, JobHub incorporates various filters and a search bar, enabling users to find the most relevant job listings. Additionally, a sophisticated recommendation algorithm analyzes job seeker skills and matches them with the skills required for posted jobs, further increasing the chances of finding the perfect job fit. In summary, “JobHub” is a dynamic Django project that leverages modern web technologies to streamline the job search and hiring process, fostering connections between job seekers and hirers while providing valuable real-time notifications and intelligent job recommendations.

The Impact of Autonomous Vehicles: A Comprehensive Analysis

Authors- Hasnawiya Hasan, Muhammad Alief Fahdal Imran Oemar

Abstract- This Article Review Various Effects Of Autonomous Vehicles On Society, The Economy, The Environment, And Technology. The Development Of Autonomous Vehicle Technology Is Advancing Rapidly And It Has The Potential To Completely Alter People Mobility In The Future Owing To Developments In Machine Learning, Artificial Intelligence, And Sensors. The Promises Come With A Lot Of Difficulties, And Ethical Issues. Moreover, Autonomous Vehicles Have The Potential To Significantly Minimize Accidents Brought On By Human Mistake, Improving Traffic Safety. They Present The Possibility Of Increased Mobility For The Elderly And Disabled As Well As Improved Traffic Flow And Less Congestion. However, Issues Like The Division Of Responsibility In Cases Of Accidents And The Coexistence Of Autonomous And Human-Driven Vehicles Need For Careful Consideration. In Addition, Autonomous Vehicles Have The Ability To Modify Land Use In Urban Planning And Lessen The Need For Parking Spots, Enabling Communities To Consider New Urban Design. They Affect Conventional Automotive Sectors, Labor Markets, And Business Models Economically, Posing Both Disruption And Opportunity. While Environmental Sustainability Is A Major Concern Because Autonomous Vehicles May Improve Air Quality, Reduce Emissions, And Encourage The Usage Of Electric Vehicles. However, There Is A Need To Manage The Energy Consumption Caused On By Computational Demands. Futhermore, The Introduction Of Autonomous Vehicles Raises Concerns Regarding Privacy, Algorithmic Ethics, And Changes In Transportation Behavior From A Social And Ethical Standpoint. Case Studies Illustrate Practical Applications While Highlighting The Lessons And Difficulties Encountered. So That, In The Future, It Is Crusial To Implementing Complete Automation, Integrating With Smart Cities, And Building Global Cooperation And Regulatory Frameworks. The Successful Integration Of Autonomous Vehicles Depends On Gaining The Public’s Trust And Addressing Issues Of Equity. Autonomous Cars Represent A Revolutionary Journey With A Variety Of Potential And Obstacles For A Safer, More Effective, And Sustainable Transportation System.

Effects of Cartoons on the Behavior of Children

Authors- Richmond Acheampong

Abstract- The study looked at how cartoons affect children’s behaviour. It further determined how frequently the children watch cartoons, whether their parents keep an eye on the types of cartoons they watch, and whether cartoons have both good and bad effects on them. To collect data for the study, 300 children from the Sunyani Municipality in Ghana’s Bono Region between the ages of 6 and 11 were chosen by purposive sampling and a questionnaire. It was discovered, among other things, that most respondents (i.e., 88%) reported that viewing cartoons negatively affects their academic performance, while just 12% of them said that it does not. As a result, it was advised against allowing children to watch cartoons at the detriment of their academics. In addition, it was advised that parents make sure their children watch age-appropriate cartoons. Moreover, it was suggested that the National Communications Authority (NCA) should penalize media outlets that air objectionable cartoons for children.

Sponsored by: ABCD-Index RAMP

Studies on Biochemical Content of Water Samples

Authors- Mrs. S. Vanitha and Dr. M. Selvi

Abstract- People on globe are under tremendous threat due to undesired changes in the physical, chemical and biological characteristics of air, water and soil. Due to increased human population, industrialization, use of fertilizers and manmade activity water is highly polluted with different harmful contaminants. Water is an essential innate resource on earth. All life including human being depends on water. Water resources are of great significance to human life and wealth and are the main insistence for the demand of drinking water, for irrigation of lands and industries. In this review, bio chemicals (carbohydrate, protein, reducing sugar, amino acid, nitrite, chloride and sulphate content in the falls of Courtallam water samples. In the present study deals with the qualitative and quantitative analysis of mineral metal and bio molecules were made. Of these, high content of carbohydrates, amino acids, bio molecules were found. Mineral and metals such as Potassium, Iron, sulphur, Phosphorous, Calcium, Magnesium, Arsenic Chromium, Lead and Mercury also identified.

Sponsored by: ABCD-Index RAMP

Mathematical Modeling of Blood Flow

Authors- Prof. Pankaj Kumar Dwivedi1 , Prof. Dhiraj Dwivedi2

Abstract- This article review various effects of autonomous vehicles on society, the economy, the environment, and technology . The development of autonomous vehicle technology is advancing rapidly and it has the potential to completely alter people mobility in the future owing to developments in machine learning, artificial intelligence, and sensors. The promises come with a lot of difficulties, and ethical issues. Moreover, autonomous vehicles have the potential to significantly minimize accidents brought on by human mistake, improving traffic safety. They present the possibility of increased mobility for the elderly and disabled as well as improved traffic flow and less congestion. However, issues like the division of responsibility in cases of accidents and the coexistence of autonomous and human-driven vehicles need for careful consideration. In addition, autonomous vehicles have the ability to modify land use in urban planning and lessen the need for parking spots, enabling communities to consider new urban design. They affect conventional automotive sectors, labor markets, and business models economically, posing both disruption and opportunity. While, environmental sustainability is a major concern because autonomous vehicles may improve air quality, reduce emissions, and encourage the usage of electric vehicles. However, there is a need to manage the energy consumption caused on by computational demands. Futhermore, the introduction of autonomous vehicles raises concerns regarding privacy, algorithmic ethics, and changes in transportation behavior from a social and ethical standpoint. Case studies illustrate practical applications while highlighting the lessons and difficulties encountered. So that, in the future, it is crusial to Implementing complete automation, integrating with smart cities, and building global cooperation and regulatory frameworks. The successful integration of autonomous vehicles depends on gaining the public’s trust and addressing issues of equity. Autonomous cars represent a revolutionary journey with a variety of potential and obstacles for a safer, more effective, and sustainable transportation system.

Experimental Investigations on the Electrochemical Micromachining of (DIN X5CrNi18-10) Stainless Steel

Authors- Gurvinder Paul, Jatinder Kumar, Tanvir Singh

Abstract- The aim of this investigation, electrochemical machining was carried out for the stainless steel (DIN X5CrNi18-10). The aim of this research was to evaluate the impact of process parameters viz. voltage, feed-rate and electrolyte concentration on the process performance in form of material removal rate, surface roughness and overcut. the machining was carried out according to Taguchi L16 orthogonal array. L16 orthogonal array. In this experimental work, the mixture of common salt with water was chosen as electrolyte keeping conductivity of mixture upto some extent and copper electrode was used as cathode in this study. The consequences of this study revealed that voltage contributes 62.02% followed by current (33.16%) to achieve maximum MRR while for surface roughness these parameters contribute 58.63% and 35.27% respectively. However, electrolytic concentration is the main significant parameter to get dimensional accuracy and contributes 68.28% followed by current (21.12%). Confirmatory experiments were conducted and the results were validated.

Torque Analysis of Biodiesel and Petro diesel

Authors- Afolabi Olalekan, Prof. Onwona Agyeman

Abstract- With the increasing global demand for renewable energy sources, biodiesel has emerged as a promising alternative to fossil fuels. Biodiesel, derived from vegetable oils or animal fats, offers significant environmental benefits, including reduced greenhouse gas emissions and decreased dependence on finite energy resources. To ensure efficient utilization of biodiesel in various applications, understanding its combustion characteristics and torque performance is crucial. This abstract presents a comprehensive overview of torque analysis pertaining to biodiesel. Torque, a rotational force, plays a vital role in the performance evaluation of engines and power transmission systems. The focus of this study is to examine the influence of biodiesel on torque production, engine efficiency, and emission characteristics. First, the paper explores the physical and chemical properties of biodiesel that affect its combustion behavior and, consequently, torque generation. Key properties such as cetane number, viscosity, density, and heating value are discussed in relation to torque output. Additionally, the impact of biodiesel blends and their varying compositions on torque characteristics is analyzed. Furthermore, the abstract highlights the experimental methodologies employed in torque analysis, including engine dynamometer tests, load characteristics measurements, and torque sensors. These techniques provide valuable insights into the torque performance of biodiesel under different operating conditions, load profiles, and engine types. The abstract also addresses the challenges associated with biodiesel utilization, such as cold flow properties, oxidative stability, and lubricity, and their potential effects on torque generation. Various mitigation strategies and additives to improve these properties and optimize torque output are explored. Finally, the abstract summarizes the findings from recent studies on torque analysis of biodiesel, emphasizing the potential benefits and limitations of biodiesel utilization in terms of torque performance. It also identifies future research directions, including advanced engine technologies, optimization of fuel properties, and integration of torque analysis into engine design and control systems.
Overall, this abstract provides a comprehensive overview of torque analysis related to biodiesel, offering valuable insights for researchers, engineers, and policymakers involved in the development and implementation of sustainable energy solutions.

Sponsored by: ABCD-Index RAMP

Comparative Study on Wardrobe of Female Ready Made vs Stitched

Authors- Sukhvir Kaur,Payal Ratan

Abstract- Clothing is the essential need of human beings. The study was conducted to know, which type of clothing women prefer more, readymade or stitched. Between the age of 18-30, 89 female teaching staff and students were selected as a sample by stratified random sampling method from different colleges to conduct the survey. A self-structured questionnaire was employed as a survey method. The study was conducted in three colleges of Punjab, Dasmesh Girls College Mukerian, Golden College Gurdaspur and Modern Group of Colleges Mansar. The result revealed that people prefer more readymade clothes in casual wear, sports wear and winter wear, as it is easy to get proper fit clothes from the market, than wasting time on buying fabrics and stitching them.

JobHub: A Django-Based Job Portal Connecting Job Seekers & Hirers

Authors- Rafat Muskan Shaikh, Moin Naik, Saquib Patel, Neeraj Kumar, Asst. Prof. Ramya Kanagaraj

Examining Coping Strategies among Caregivers of Individuals with Autism amidst the COVID-19 Pandemic

Authors- Taku Jude EBEN

Abstract- Many caregivers of autistic people experience mental health issues, and the impact of disruptions due to COVID-19 may present additional challenges for these individuals. This study characterized caregiver stress, anxiety, and resilient coping during COVID-19 and investigated the impact of COVID-19 disruptions, demographic variables, and resilient coping on mental health. The majority of caregivers reported some degree of disruption associated with COVID-19, and more than half reported moderate levels of stress and high anxiety. Resilient coping did not emerge as a moderator between COVID-19 disruptions and caregiver mental health, but instead had a direct effect on outcomes. Future research is needed to understand additional factors impacting the mental health of caregivers of autistic people during the COVID-19 pandemic.

Perspective of Mental Health and Academic Achievement of Mundari Tribal Students in Secondary Level School of North 24 Paraganas, West Bengal

Authors- Bipul Chakraborty

Abstract- There is no general agreement on the definition of mental health. For a long time, the term mental health has been used as a euphemism for mental illness. However, mental health and mental illness are regarded as distinct constructs nowadays and two main perspectives differentiating between mental health and illness are available in the literature. The paper represent the continuum approach considers that mental health and mental illness are the two opposite poles of a continuum. Adolescence is a crucial period for developing social and emotional habits important for mental well-being. These include adopting healthy sleep patterns, exercising regularly, developing coping, problem-solving, and interpersonal skills and learning to manage emotions of Mundari tribal students. Protective and supportive environments in the family, at school and in the wider community are important for achievement of education. Multiple factors affect mental health. The more risk factors adolescents are exposed to, the greater the potential impact on their mental health. Factors that can contribute to stress during adolescence include exposure to adversity, pressure to conform with peers and exploration of identity that has represented in this paper.

Comparative Study and Analysis of Steel Structure Using Pre-Engineered Technology over Conventional Construction Methodology

Authors- Dinanath Singh Priyadarshi, Prof. Rajesh Joshi

Abstract- In today’s construction industry, clients are increasingly prioritizing cost efficiency and time-saving, especially when dealing with vast spaces designed for various purposes. To address these concerns and minimize material wastage, the utilization of pre-engineered metal building systems presents a significant advantage. These systems offer an economical solution that enables the construction of spacious, column-free enclosures. Pre-engineered metal buildings have proven to be highly dependable and adaptable, serving a wide range of purposes, including complex industrial facilities, warehouses, distribution centers, retail stores, shopping malls, motels, auto dealerships, office complexes, aircraft hangars, sports and entertainment arenas, as well as educational institutions, libraries, places of worship, medical facilities, and government structures. In a pre-engineered metal building system, the rigid framework comprises roof beams and columns that are assembled on-site through bolted connections. This structural design permits the creation of extensive spans without the need for intermediate support columns. The frame intervals typically range from 15 meters to 60 meters, with the possibility of achieving spans of up to 300 meters, resulting in expansive, open interiors. This paper focuses on the analysis of a pre-engineered metal building with a 40-meter span, employing finite element analysis software called ETABS (2013). For comparative purposes, a conventional steel building with the same 40-meter span is also analyzed using the same software. The findings from both analyses indicate that the pre-engineered metal building not only offers economic advantages but also exhibits excellent stability compared to its conventional steel counterpart.

Automated Diabetic Retinopathy Detection Using Deep Learning

Authors- Dhrish S Kumar

Abstract- Diabetic retinopathy (DR) is a leading cause of blindness worldwide. Early detection and treatment of DR are essential to prevent vision loss. Traditional methods of DR detection, such as manual screening by ophthalmologists, are time-consuming and subjective. Deep learning has emerged as a promising tool for automated DR detection. In this paper, we propose a deep learning model for automated DR detection using fundus images. Our model is based on the ResNet50 architecture, which is a pre-trained convolutional neural network (CNN) model. We fine-tuned the ResNet50 model on a large dataset of fundus images labeled with DR severity grades. Our model is also able to detect DR at an early stage, which is important for preventing vision loss. We believe that our deep learning model has the potential to improve the efficiency and accuracy of DR detection. This could lead to earlier diagnosis and treatment of DR and help to prevent vision loss in patients with diabetes.

Impact of Water Deficit Stress under Alternate Wetting and Drying on Physiological, Growth and Yield of Rice Plant

Authors- Bounsuan Phomvongsa, Supawadee Kaewrahun, Raywat Chairat

Abstract- The experiment was conducted in dry season in 2021-2022 in cement block of the nursery experiment, faculty of agriculture. Ubon ratchathani University, to investigate the impact of water deficit stress on physiological, growth and yield responds of rice. The experiment planning was factorial in CRD with 2 factors as follows: factor 1. water managements 4 levels which are: 1. Continuously flooding at 5 cm (CF) and water deficit stress at 15; 25 and 35 cm respectively. And factor 2. Varieties which are: local glutinous rice by Lee nok variety and modern glutinous rice by RD22 variety. The experiment consisted in 4 replications. The results showed that, the CF increase plant height better compared to AWD. The tillering was found highest with AWD 25. The chlorophyll a; b to increases in CF and AWD15, while chlorophyll c increases in AWD 35. The Fv increases in CF and AWD 15. There is more absorb carbon dioxide and photosynthetic rate in CF compared to AWD. The yield components and yield of rice plant was found AWD 25 and Leenok variety were most optimized increased the panicle per hill, panicle length, total grain per panicle, filled grain per panicle, 1,000 grain weigh and grain yield of rice plant.

Sponsored by: ABCD-Index RAMP

Effect of Biofertilizeron Growth (Brassica Nigra) in Normal and Heavy Metal Contaminated Soil

Authors- Assistant Prof. G. Lavanya, Research Scholar D. Karthika

Abstract- In this present study distribution of metal accumulation and their biological change of India mustard plant (Brassica Nigra) grown in soil irrigated with the normal and heavy are different concentration of soil. Metabolism or the large – scale phytochemical analysis of plants is reviewed of functional genomics and systems biology. Usually in concert with root rhizosphere microorganisms. The remove hazardous heavy metals soils or water Phytoremediation is green technology which is used the removal of toxicity in soil. Phytoremediation of number of metals such as cadmium, chromium, cesium, lead, nickel, zinc lead contamination is naturally present in all soil. The complexes of ionic, lead oxide, lead hydroxide, lead metal oxonium. The objective of the research is to investigate the ability of chelates including saponin,sophorolipidBcyclodextrin and polyaspartic acid remediation effect of cd – and pd – contaminated soil with Brassica juncea. Vetiver grass (vetiveriazizanioides ) belong to the grass family , same as the sorghum , lemongrass , sugarcane , maize . Mustard is agriculturally used as a cover crop old herbals suggested mustard for alopecia, epilepsy, snakebite, and toothache. Mustard oil also stimulates the hair growth. Mustard is also recommended as ingredient of tea. Useful in hiccough. Mustard flour is considered antiseptic.Oil useful in pleurisy and pneumonia. Low PH, pd bound less tightly with soil more soluble. Natural ar high PH lead is bound more tightly the soil and poorly soluble. Agriculture soil generally most cadmium pollution form atmosphere, fertilizer, pesticides, and manure. Brassica the in evolution of metabolism profiling into today’s modern comprehensive metabolomics approach as provided. The technology used in metabolomics inducing optical spectroscopy, nuclear magnetic resonance and spectrometry are surveyed. The method of data visualization is summarized and future role of metabolomics in plant sciences assessed in functional genomics and system biology of plants.

Reducing Co2 Emissions With Optimized Logistics In Super Express Way Transportation

Authors- Ashutosh Dwivedi, Shashikant Dhoble

Abstract- Carbon emissions from the logistics industry have been rising year after year. Correct handling of the relationship between economic development and environmental protection is of great significance to the implementation of green logistics, which is an important component of INDIA strategy for strong transportation. This paper focuses on the evaluation of the carbon emissions efficiency of logistics industry from a new strong transportation strategy perspective. A super-efficiency slack-based measurement (Super-SBM) model and Malmquist index are combined to evaluate the static and dynamic carbon emissions efficiency of the logistics industry.

Integration Of Esp-32 Cam Module With Traffic Light Signal For Monitoring Traffic Rules Violation

Authors- Dr. B Panjavarnam, Hariharan K, Maneesh Vijay V I , Raghuram T, Sivakumar M S

Abstract- With the help of current technology available only at certain places the vehicle movement at traffic signal is unnoticed and leads to some sort of accidents. As the available technology requires a separate server room for data collection and maintenance and it is quite expensive. In order to overcome this drawback, we have simplified the equipment’s used and reduce the maintenance, this system can be used even at remote areas. In this project we use ESP 32 cam board for visuals and PIR Motion sensor for sensing the movement going around with the frame. Using ESP module and PIR motion sensor we bring an approach to implement at the traffic signals. Based on the light pattern of the traffic signal the ESP module is controlled and is activated to capture the vehicle movements that fail to follow the traffic guidelines. The angle at which the sensor is placed helps in determining the range of vehicle detection. The captured vehicle’s picture is sent to the regional traffic control office through the telegram bot.

A Study Of Trending Solar Photovoltaic Panels

Authors- Asst. Prof.Harmanjit Kaur , Dev Rishi , Nitish Palial

Abstract- As we know in every year the energy consumption is increasing day by day. The sun is an ample energy source and the sun light energy has higher potential to full-fill our increasing energy demands. Solar Photovoltaic technology deals with conversion of incident sunlight energy into electrical energy. It may highlight the environmental benefits of using solar energy, such as reducing greenhouse gas emissions and dependency on fossil fuels. Additionally, it might mention the economic advantages, including long-term cost savings and potential job creation in the renewable energy sector. In this review paper, the three generations of solar cell and also the future treading solar photovoltaic panels is discussed.

Media and Social Networks Approach For Environmental Concerns Assessment, A Case Study Vietnam

Authors- Ngoc Anh Ngo, Mai Dung Nguyen

Abstract- The environment of developing country like Vietnam often facing many troubles while it pays attention to the economic development. Data generated from social media can play important roles in raising awareness and informing policy decisions about environmental pollutions in Vietnam. Social media platforms have a wide reach, allowing for monitoring of environmental issues in remote or less accessible areas where classical monitoring methods may be logistically challenging or expensive to implement. They also provide near-real-time information on environmental events. This allows for faster response times to emerging issues compared to traditional data collection methods which may have delays in reporting.

Friend Recommendation in Location-based Social Media Networks via Deep Pairwise Learning

Authors- M. Tech. Scholar Karchan Tomar, Prof. Virendra Verma

Abstract- The fields of magnetism and resonance are crucial to the operation of Electric Vehicle Wireless Communication (EVWC) devices. A magnetic field is produced when electricity flows through a coil of wire, just as it is in a transformer. For Wireless Power Transfer (WPT) to work, it’s necessary to position two coils in such a way that one’s magnetic field induces a current in the other. Unless the coils are very close to one another and aligned in a straight line, inductive power transfer is inefficient. In this paper work related to wireless charging system proposed by various researchers is explored. Concept of Static and dynamic charging, Inductive power transmission, wireless power transmission techniques including inductive and capacitive coupling, far field techniques like Radio, microwave and laser techniques are also presented.

Design and Analysis of an Algorithm for Slice Handover in 5G Networks

Authors- Kerime Haibatt

Abstract- This research focuses on the mobility management technique of network slicing in 5G networks. Network slicing involves dividing the physical network infrastructure into multiple virtual networks called network slices, each optimized for specific applications or use cases. Network slice handover enables seamless transfer of a user’s connection between different network slices without interrupting the quality of service. The research aims to analyze and develop an algorithm for making network slice handover decisions in segmented 5G networks and evaluate its performance. The research proposes an algorithm for network slice handover delivery decisions based on an analytic model using Markov chain. The network model’s architecture and the implementation of the vertical delivery decision-making algorithm are described. The performance of the algorithm is evaluated using key performance indicators (KPIs) related to quality of service at the connection level, such as the likelihood of new calls being blocked, or connections being lost. Simulations are conducted to assess how changes in metrics, such as contact arrival rate, capability, new call threshold, base bandwidth unit, and call departure rate, impact the quality-of-service measurements. The simulation results show that the developed algorithm generally provides good quality of service levels, with a lower likelihood of dropping a distribution call compared to new calls being blocked in all cases. The research contributes to the understanding and improvement of network slice handover in 5G networks by proposing an algorithm and evaluating its performance through simulations. The results demonstrate the algorithm’s effectiveness in maintaining quality of service during network slice handover.

DOI: /10.61463/ijset.vol.9.issue5.104

Review Paper on Implementation of Drone for Farmer’s

Authors- Aniket Sahare ,Snehal Alaspure, Ashish Kuthe , Prashant Tarale
Asst. Prof. Achal Kamble, Asst. Prof .Nutan M. Dhande , Asst. Prof. Abhishek K Singh

Abstract- The world receives more than 200 thousand people in a day and it is expected that the total world population will reach 9.6 billion by the year 2050. This will result in extra food demand, which can only be met from enhanced crop yield. Therefore, modernization of the agricultural sector becomes the need of the hour. There are many constraints that are responsible for the low production of crops, which can be overcome by using drone technology in the agriculture sector. This paper presents an analysis of drone technologies and their modifications with time in the agriculture sector in the last decade. The application of
drones in the area of crop monitoring, and pesticide spraying for Precision Agriculture (PA) has been covered. Precision agriculture is an important part of drone research projects today. Agriculture needs commercial drones since the industry took off: and sophisticated analytics and software combine with
evolved drone solutions to allow for breakthroughs. For future farming, drones are an essential tool in precision agriculture, as they allow farmers to monitor crop and livestock conditions by air. This paper also discusses the challenges associated with the implementation of drone technology in agriculture, such as regulatory issues, data privacy concerns, and initial investment costs. Strategies to overcome these challenges, including regulatory compliance, public awareness campaigns, and collaboration between
agricultural and technology sectors,. Furthermore, drones offer several advantages to farmers, including reduced labor costs, optimized resource management, timely detection of crop diseases, and precise application of inputs.

Media And Social Networks Approach For Environmental Concerns Assessment: A Case Study of Vietnam

Authors- Ngoc Anh Ngo, Mai Dung Nguyen

A Review: Surfactant Properties and Micellar Structure

Authors- Associate Professor Dr. Tejas Joshi

Abstract- Surfactants, an essential class of compounds, exhibit distinctive properties owing to their amphiphilic nature, possessing both hydrophobic and hydrophilic characteristics. Understanding surfactant properties is crucial in elucidating their behavior at interfaces and in solution. These properties include their ability to reduce surface tension, form micelles, and solubilize hydrophobic substances. These properties are paramount in various applications, including drug delivery, enhanced oil recovery, and the formulation of consumer products. an understanding of surfactant properties and micellar structures is pivotal in a wide array of scientific and industrial applications.

Comprehending The Concepts Of Surfactant System Models, Theories Of Mixing, And Mixed Micelle

Authors- Associate Professor Dr. Tejas Joshi

Abstract- This article delves into the intricacies of surfactant systems, focusing on the comprehensive understanding of models employed to describe their behavior, theories governing mixing phenomena, and the formation of mixed micelles. The study amalgamates theoretical frameworks with practical insights to provide a holistic perspective on surfactant interactions. The exploration begins by elucidating various surfactant system models, ranging from idealized to non-ideal representations. The discussion encompasses key concepts such as regular solution theory, mass action model, and phase separation model. By scrutinizing these models, the research aims to establish a foundational understanding of the surfactant interactions. A pivotal aspect of the study revolves around mixed micelles, exploring their formation, and stability in surfactant systems

Evaluation of Water Sanitation and Hygiene Facilities and Practices of Present Status in the Vulnerable Domestic Area: A Study on some selected Areas Mymensingh City of Bangladesh

Authors- Touhida Afroj Tani, Md. Rakibul Hassan, Md Shakatul Islam

Abstract- Mymensingh is the capital of Mymensingh Division in central Bangladesh. Ensuring water sanitation and hygiene in Mymensingh is vital for community health, requiring effective measures and collaboration between authorities, organizations, and residents for sustainable implementation. The objectives of this study were to investigate the water supply and sanitation status of Mymensingh City. Data were collected primarily based on a reconnaissance survey with the help of a structured questionnaire. A cross-sectional survey design was employed to collect data on variables related to water, sanitation, and hygiene in the area. Many homes rely on submersible pumps and deep tube wells for drinking water, while access to piped water is limited. Inadequate water supply and limited access to clean water contribute to waterborne illnesses and negatively impact public health. Sanitation infrastructure in Mymensingh City Corporation varies, with reliance on septic tanks and pit latrines, while limited sewage systems and waste management exist. Inconsistent hygiene practices contribute to waterborne illnesses, highlighting the need for improved infrastructure and behavior change interventions. Improving the drainage system, implementing effective measures for waste management, and promoting hygiene education programs are essential for minimizing waterborne diseases and enhancing residents’ quality of life.

DOI: /10.61463/ijset.vol.11.issue5.105

Littering Perceptions, and Behaviours Among the General Public in Maseru, Lesotho

Authors- Ts’aletseng Siimane, Sekhoane Malaka , Sehoete Tsoahae

Abstract- Littering is a growing environmental problem that has caught the eyes of different sectors of society. This study, which was conducted in Maseru, Lesotho, aimed to understand littering perceptions and behaviours among the general public. A qualitative phenomenological study design was used where data was collected through semi-structured interviews from a sample of 57 respondents. Data was analysed through content analysis. Findings revealed that Maseru city is perceived as heavily littered, although littering was seen to have decreased over time. Furthermore, litterers are predominantly female, aged between 26-35 and most have secondary education. Material factors such as the availability of waste receptacles and the convenience of the receptacle location influence littering behaviour, while keeping a clean environment was identified as the main promoter of anti-littering behaviour. The study concluded that there are positive perceptions and negative behaviours in littering in Maseru. Recommendations for reducing littering included the supply of more litter bins and creating awareness through education.

Fire Fighting Robot

Authors- S. Warhate, Shubhangi G. Pote,Adarsh D. Balvir, Rakesh S. Dakhore,
HOD Nutan Dhande, HOD Abhishek K Singh

Abstract- permanent disability to the affected victim. Major fire accidents do occur in industries like nuclear power plants, petroleum refineries, gas tanks, chemical factories and other large-scale fire industries resulting in quite serious consequences. Thousands of people have lost their lives in such mishaps. Therefore, this project is enhanced to control fire through a robotic vehicle. With the advancement in the field of Robotics, human intervention is becoming less every day and robots are used widely for purpose of safety. In our day to day life fire accidents are very common and sometimes it becomes very difficult for fireman to save human life. In such case firefighting robot comes in picture.This firefighting robot uses ARDUINO, Fire sensors, etc. When the Robot detects a fire, it gives a message to the ARDUINO. Then ARDUINO sends the signal to the motor driver and thus water is sprayed in the direction of the fire. It assists firefighters in extinguishing the fire. And it will perform its operation where firefighters can’t reach. This will save the risk of fire fighters’ life and avoid any further damage.

Environmental Lead Exposure among Children of Industrial Belts in Jharsuguda An Observational Study

Authors- Swayamsiddha Mishra, Malaya Ranjan Mahananda, Samikshya Mishra, Nihar Ranjan Mishra
Children are more susceptible to lead (Pb) toxicity than adults as exposures to environmental pollutants during windows of developmental vulnerability in early life can cause disease and death in infancy and childhood. Objective:The current study aims to assess lead exposure in children in the industrial belt of Jharsuguda. Materials and Methods: This observational study with a comparator group was conducted between May 2019 to April 2020. This study assessed the BLLs of a cohort of 251 children attending the pediatrics outpatient department in Government medical, Jharsuguda, and 175 comparators within the age group 1 to 13 years. Experimental subjects from medical records were analyzed through a complete screening, demography, and health examination. For industrial exposure analysis, contaminants in soil samples collected from 9 sampling sites and BLL were analyzed by AAS and US EPA methods. It will assist in policy making regarding safe disposal of lead and prepare strategy for better health and sanitation for the local community. Chi-square test, one-way ANOVA, Odds ratio (OR) and Pearson correlation coefficient were used. Results: Analysis of 251 study participants revealed males (157 / 62.5%) dominated over females (94 / 37.5%) with M: F 1.6:1. A statistically significant association was found between anemia and the study group (OR with 95% CI: 3.49, 2.32, 5.26; p < 0.001); good negative correlation (‘r’- 0.616, p < 0.001) was found between blood lead and soil lead levels. The highest concentration of lead (Pb) was observed at wastewater irrigated sites during the post-monsoon period than monsoon and lowest in the pre-monsoon period (p < 0.001). Conclusion: Childhood lead poisoning accounts for a substantial burden in Jharsuguda resulting in various health impacts that can be prevented.

An Iot Based Vehicle Detection And Prevention System

Authors- PG Student Paul Selvi M,Professor Thulasimani K
In a population growth, traffic congestion and auto accidents have reached dangerous levels. Both the number of fatalities brought on by accidents and the percentage of traffic accidents are rising significantly. The loss of a person during their lifetime can harm an entire family, even in the case of a minor traffic accident. Anywhere in the world, road safety is a serious worry. With the use of cutting-edge IoT technology, the staggering number of fatalities brought on by traffic accidents can be decreased. Platforms from the Internet of Things (IoT) have been heavily used recently to cut down on how long it takes to rescue someone after an accident. To deliver aid quickly, automatic road accident detection systems must be put in place. The literature contains numerous solutions for automatic accident detection. In the proposed system crash prediction utilizing IOT sensors and smartphones. When an accident occurs, this technology uses Wi-Fi and the internet to send a brief message to a mobile phone on WhatsApp. Sends calls and messages to emergency numbers. These techniques can be used to pinpoint the accident’s site. In order to preserve road safety and save precious lives, we give a critical review of the many existing approaches used for forecasting and preventing traffic accidents in this study. We highlight their advantages, drawbacks, and issues that must be resolved.

Exploring the Wonders of Pomegranates

Authors- Amit Parashar, Ramakant Mishra, Shikha Govil, Rajeev Kumar Singh
Pomegranates, with their ruby-red arils, have long been celebrated for their nutritional value, culinary versatility, and medicinal properties. This research paper provides an in-depth exploration of pomegranates, encompassing their nutritional composition, antioxidant properties, culinary applications, role in traditional medicine, farming and processing, challenges, and future prospects. Pomegranates have been used traditionally to address a range of health concerns and are gaining recognition in modern research for their potential in preventing and managing various health conditions. While pomegranates offer a myriad of culinary possibilities, challenges exist in their cultivation and processing, from pest management to climate resilience. However, ongoing research presents opportunities to address these challenges and ensure a prosperous future for this beloved “super fruit.”

Revolutionizing Compliance with Automation and AI

Authors- Kinil Doshi

Abstract- This article investigates the impact of automation and artificial intelligence on compliance transformation in the finance industry and beyond, Founded on the potential value acceleration achievable through the combination of artificial intelligence technology with established regulatory technologies. This paper addresses artificial intelligence’s impact on next-generation end-to-end Know Your Customer processes, cross-industry compliance development, and regulation-specific compliance documentation maintenance. The numerous real-world situations in this paper revolve around how enterprises have evolved from their traditional methodology to utilitarian compliance and artificial learning-based technologies to emphasize the potential value of artificial intelligence. As seen, this indicates that artificial intelligence is foundational nowadays in getting RegTech right.; however, other difficulties, like compliance with explicit AI certification, are required.

DOI: /10.61463/ijset.vol.11.issue5.567

Enriching IOT Device Connectivity and Management Using Azure DPS and IOT Hub: A Scalable Solution

Authors- Seetaiah B

Abstract- The rapid expansion of IoT ecosystems necessitates scalable and secure device provisioning and connectivity management solutions. Traditional onboarding methods often struggle with scalability, security, and network disruptions. This study explores the use of Azure Device Provisioning Service (DPS) and IoT Hub to automate device onboarding, enhance connectivity, and maintain data flow continuity. Detailed architecture, implementation strategies, performance improvements, and real-world use cases highlight the transformative impact of these cloud-native services in modern IoT environments. The paper also discusses future scalability considerations, emphasizing the potential of these solutions to optimize device management across industries.

DOI: /10.61463/ijset.vol.11.issue5.568

Developing Conceptual Skill Strategies in Physical Education

Authors- Assistant Professor Dr. Abdul Azeej Khan

Abstract- The growing of output performance remained stagnant in competitive sports and Games because of the Exploring certain skills strategies is not manage in time to reach high level of performance. The physical education which involve and provide opportunity from lower level of skills to dynamic game play through appropriate learning task management, and to enhance their skill practice that reduce boredom or frustration and maximum the success of student in physical education for this reason are certain conceptual skill strategies skill to success and subsequent enjoyment and physical activity. The learning task required appropriate environmental condition, that can modify task to accommodate different skills such strategies can integrates skill levels with environment characteristics has been develop. The teaching skills strategies in physical education may be categories according to the students ability to perform different skills in varying skill degrees. The major skills learning strategies includes (a) identifying skills level (b) location of skill level (c) combination of skills development and movement strategies skills in various game and sports. The purpose of article is to describe the learning task that make successful programme and accommodate students abilities by constant practice and exercise of dispassion.

DOI: /10.61463/ijset.vol.11.issue5.569

The Reuse of Polluted Water after Recycling Treatment

Authors- Dr. Prerna Mittal, Assistant Professor Dr. Jugmaheer Gautam

Abstract- A careful investigation of polluted water treatment, reusing, and reuse choices has become important because of the worldwide issues looked by water shortage and natural decay. This book section centers basically around the reusing and reuse of regarded Polluted water as it covers the advancement of Polluted water the board rehearses from authentic ways to deal with present turns of events and future possibilities. The principal segment dives into authentic foundation, depicting early polluted water removal methods and how their adverse consequences on environments and general wellbeing were subsequently understood. It causes to notice the improvement of conventional polluted water treatment techniques like essential and auxiliary treatment, which looked to decrease the unfortunate results of Polluted water release. The part likewise covers the improvement of tertiary treatment techniques, like modern filtration, synthetic precipitation, and film innovations, which considered a more prominent level of toxin expulsion and arranged the way for powerful reusing and reuse frameworks. It tends to present day procedures like concentrated and decentralized treatment frameworks, noticing their advantages and downsides. Furthermore, it covers the meaning of mechanical advancements in further developing treatment viability and water quality for safe reuse, for example, upgraded oxidation processes, film bioreactors, and counterfeit wetlands. The part additionally features the meaning of severe regulations and structures for strategy in supporting polluted water reusing and reuses rehearses from one side of the planet to the other. The last area investigates the opportunities for future improvement in polluted water treatment, reusing, and reuse. It discusses recent fads like asset recuperation, energy-unbiased treatment techniques, and the consolidation of savvy innovation and computerized reasoning in polluted water the executives frameworks. It likewise focuses into additional detail on the benefits of decentralized and normally based ways to deal with laying out versatile and feasible water the executives rehearses. This book section offers an exhaustive outline of practices for polluted water treatment, reusing, and reuse, follows their improvement from the past to the present, and offers expectations for what’s in store.

DOI: /10.61463/ijset.vol.11.issue5.570

A Detailed Study on Television Commercials’ on Consumer Durable Goods Purchase Decisions

Authors- Assistant Professor Ankush Rawal, Assistant Professor Kapil Dev Dhiman

Abstract- This research paper examines the influence of television advertisements on consumer purchase decisions for durable goods. By analyzing existing literature and conducting empirical research, this study aims to understand how various advertising techniques, such as celebrity endorsements, emotional appeals, and product demonstrations, impact consumer perception, brand awareness, and ultimately, purchase intent. The findings of this research will provide valuable insights for marketers and advertisers in the consumer durable goods industry, enabling them to develop more effective advertising strategies.

DOI: /10.61463/ijset.vol.11.issue5.571

A Study of the Marketing Approaches Employed by Ayurvedic Companies, Focusing on Patanjali and Dabur

Authors- Associate Professor Himanshu Verma, Assistant Professor Anshul

Abstract- Approximately 65% of the population lives in rural regions, whereas 35% is located in urban areas. Since most of the population lives in rural areas of India, so both the companies have put their efforts and innovative approaches in capturing the rural market. The closeness of Multinational Companies (MNCs) has created remarkable competition among businesses within the nation. Their substantial presence results in a continual stream of new products designed to entice consumers. In this highly competitive environment, companies strive for product differentiation and a competitive advantage in order to target larger market segments consistently. Baba Ramdev and Dr. SK Berman is the key driving force behind Patanjali Ayurved and Dabur. The business growth of Patanjali and Dabur is also shown through this paper. It includes a SWOT analysis of Patanjali and Dabur.Dabur, one of India’s largest FMCG companies, offers a wide range of leading products in the personal care, healthcare, and food & beverages segments in the market, whereas Patanjali is also one of the fastest-growing FMCG company. Both companies touch the lives of many in India and is considered an essential part of every Indian household, with a wide range of products offered across various consumer categories. Through this paper, an attempt has been made to show the impact of the marketing approaches on the revenue of both the companies and their competitors.

DOI: /10.61463/ijset.vol.11.issue5.572

Low-Cost Indigenous Paddy Collector and Spreading Machine for the Benefit of the Farmer

Authors- N.Kawin, S.L.Harish, A.B.Hirthik Roshan, D.Dharmarajan

Abstract- The project aims to address the challenges faced by farmers in the manual sun-drying process of harvested grains by introducing a low-cost indigenous paddy collecting and spreading machine. Currently, the sun-drying process involves the labour-intensive efforts of 20-30 workers and is financially burdensome for farmers. Additionally, alternative methods utilizing fuel or expensive foreign machines present additional barriers to adoption due to cost and maintenance concerns. The proposed machine, constructed from recycled plastic and powered solely by mechanical energy, offers an affordable and sustainable solution to grain drying. By automating the collecting and spreading of paddy, the machine streamlines the drying process, reducing labour requirements and operational costs for farmers. Moreover, its indigenous design ensures that maintenance and replacement of parts are feasible and cost-effective. Through the development and implementation of this innovative machine, farmers can enhance the efficiency of their grain-drying operations while reducing dependency on manual labour and costly equipment. The project underscores the potential of indigenous technology to empower farmers and improve agricultural practices, ultimately contributing to sustainable rural development and food security.

DOI: /10.61463/ijset.vol.11.issue5.573

The Future of Regulatory Compliance in Banking: Embracing Technology

Authors- Kinil Doshi

Abstract- The evolution of regulatory compliance in banking is being reshaped by technological advancements. Financial institutions increasingly rely on artificial intelligence (AI), machine learning (ML), RegTech solutions, and automation to navigate complex regulatory landscapes. This paper explores how these technologies enhance compliance efficiency, improve risk assessment, streamline fraud detection, and ensure adherence to evolving regulations. It also discusses the role of fintech solutions and banking centers of excellence in fostering compliance innovation. By embracing technology, banks can transform regulatory compliance from a burdensome obligation into a strategic advantage that drives sustainable growth.

DOI: /10.61463/ijset.vol.11.issue5.574