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773 articles for “response analysis”
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Solar Tracking System and Battery Management
Abstract: This project focuses on optimizing renewable energy systems by combining a dual-axis solar tracking mechanism with a smart Battery Management System (BMS) to improve solar energy harvesting and storage. The system uses an Arduino Uno microcontroller and Light Dependent Resistors (LDRs) to track the sun's position, enabling the solar panel to adjust its orientation in real-time for optimal sunlight exposure throughout the day. At the same time, the integrated IoT-based …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 2, 2026 · pp. 16–22 Read article
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Fabrication and Optimization of Process Parameters for Friction Stir Welding AA7075+10%wt.SiC Composite by Taugchi Method
Abstract: Aluminium alloy 7075 as matrix and silicon carbide (SiC) as reinforcement has been widely used in aircrafts and space industries because of high strength to weight ratio. Fusion welding of this Aluminium Metal Matrix Composite (MMC) will lead to many problems such as porosity, micro-fissuring and hot cracking. However, friction stir welding (FSW) can be used to weld this MMC without above mentioned defects. Objective of this investigation are fabrication …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 102–112 Read article
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Role of Healthcare Management in Pandemic of COVID-19
Abstract: COVID-19 was first reported on December 19, 2019, in the city of Wuhan Hubei in China. It has since spread to more than 210 countries and regions. This severe acute respiratory syndrome is spread over by the coronavirus with trouble in breathing and flu-like symptoms. The disease caused by virus was called COVID-19. Over 2.2 million people worldwide have died. The United States is the most affected country with 0.7 …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 10, Issue 1, 2021 · pp. 1–6 Read article
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Optimizing Fusion Zone Grain Size, Hardness and Tensile Strength of Micro Plasma Arc Welded Titanium (Ti-6Al-4V) Alloy Using Grey Relational Analysis
Abstract: In the present work, Titanium (Ti-6Al-4V) alloy sheet of 0.5 mm thick is butt welded using Micro Plasma Arc Welding. Welding input parameters like peak current, base current, pulse rate and pulse width are considered and output responses like fusion zone grain size, hardness and ultimate tensile strength of the welded joint are considered. Taguchi L25 orthogonal matrix is adopted by considering four factors and five levels of weld input …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 2, 2018 · pp. 21–33 Read article
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Study and Analysis on Multi-gate MOSFET Design
Abstract: AbstractMulti-gate MOSFET is the emerging technology that is used in the area of low-power VLSI design. Multi-gate devices provide much better advantages over conventional MOSFET. As less power dissipation, decrease size, and more operational value could be obtained. Multi-gate MOSFET devices also reduce cost of production. Thus, design of electronics devices based on multi-gate technology is beneficial in today’s requirement. Basic MOSFET due to its reduction in size shows short …
Published in Journal of Semiconductor Devices and Circuits · Vol. 7, Issue 1, 2020 · pp. 1–7 Read article
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Analysis of Soil Structure Interaction for Cohesive and Non Cohesive Soil
Abstract: In this paper, test has been done by assuming for fixed base structure by ignoring the flexibility of soil and foundation. In this test the interaction between the circular footing having a small column and soil base and sand base this is investigated by analyzing the different settlement relationships corresponding to the different loads. In the analysis and experimental setup we will calculate the settlement and force generated in the …
Published in Journal of Geotechnical Engineering · Vol. 5, Issue 2, 2018 · pp. 35–38 Read article
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Anticancer Activity of Calotropis procera by Molecular Docking Analysis
Abstract: Cyclin-dependent kinase 2 (CDK2) is a protein synthesized by Calotropis procera. It is known to be responsible for causing cancer in the human body. Studies have presented the significance of the phytochemicals to inhibit the CDK2 protein. Adsorption, distribution, metabolism, and excretion (Swiss ADME) and PubChem were the pharmacological tools which were used to check molecular weight, which should be less than 500D, acceptors less than 10, and donors less …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 01–07 Read article
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Comparative Study of Multistorey Building with Composite Column at Soft Storey
Abstract: Increase in population, car parking space is major concern. Hence, trend has been set up to use ground floor for parking purpose. Literature shows that, large number of reinforced concrete (RC) building with soft storey damaged by earthquake shaking due to many structural deficiencies such as, column with insufficient confinements, strong beam weak column, formation of plastic hinge at beam-column joint, opening of 90 degree ties, poor detailing in beam-column …
Published in Journal of Structural Engineering and Management · Vol. 3, Issue 2, 2016 · pp. 37–42 Read article
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Optimization of Machining Parameters for End Milling of 1018 Mild Steel using Taguchi based Grey Relational Analysis
Abstract: The present work investigate the parametric optimization of end milling operation for 1018 mild steel with multiresponse criteria based on Taguchi approach with the Grey relational Analysis. Taguchi’s L9 orthogonal array which takes nine experimental runs was used to execute the design matrix of machining parameters. Cutting speed (CS), Feed (FD), Cutter RPM and Depth of cut (DOC) are optimized with the consideration of multiple performance characteristics namely Machining time …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 2, 2016 · pp. 36–47 Read article
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Tank Water Quality Analysis Using Machine Learning
Abstract: Tank Water quality is a critical factor for public health, agriculture, as well as industry. Continuous monitoring of tank water quality: temperature, humidity, water level, CO2 concentration, and pH, is vital for safe usage. Using machine learning, real-time data analysis can detect anomalies, predict issues, and optimize water management, ensuring timely responses and improved safety. This intelligent approach enhances decision-making and maintains water quality effectively in various environments.We develop an …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
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AI-Powered Chatbot with Sentiment Analysis, Summarization, and Q&A for Business Automation
Abstract: Artificial Intelligence (AI) chatbots have become increasingly significant in recent years due to their ability to automate a wide range of business operations, improve user interaction, and create more efficient customer support experiences. The development of such systems goes beyond simple rule-based responses and now integrates advanced natural language processing (NLP) techniques to deliver contextually relevant and human-like interactions. This study introduces a chatbot framework that incorporates three major components: …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 01–05 Read article
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Unveiling the Engine of Efficiency: Exploring the Vital Dimensions of Warehousing for Optimal Operational Performance
Abstract: This research endeavours to comprehensively explore the multifaceted dimensions of warehousing that significantly influence operational efficiency within the bustling industrial nexus of the National Capital Region (NCR), encompassing a diverse array of warehouse types in the vicinity of Delhi-NCR. Employing a meticulously crafted structured questionnaire, respondents provided insights through a Likert scale, ranging from 1 = Strongly Disagree to 5 = Strongly Agree. The data collection process, utilizing stratified sampling …
Published in Journal of Production Research & Management · Vol. 14, Issue 1, 2024 · pp. 29–38 Read article
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Unveiling the Engine of Efficiency: Exploring the Vital Dimensions of Warehousing for Optimal Operational Performance
Abstract: This research endeavours to comprehensively explore the multifaceted dimensions of warehousing that significantly influence operational efficiency within the bustling industrial nexus of the National Capital Region (NCR), encompassing a diverse array of warehouse types in the vicinity of Delhi-NCR. Employing a meticulously crafted structured questionnaire, respondents provided insights through a Likert scale, ranging from 1 = Strongly Disagree to 5 = Strongly Agree. The data collection process, utilizing stratified sampling …
Published in Journal of Production Research & Management · Vol. 14, Issue 1, 2024 · pp. 29–38 Read article
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Multi-Objective Optimization of Carbon-Glass Fiber Polymer Drilling Process Based on Fuzzy Grey Entropy Weighing Method
Abstract: In recent years, the machining characteristics of hybrid fiber polymer composites have garnered significant research attention due to their growing industrial applications. This study specifically focuses on the drilling of hybrid carbon-glass fiber reinforced (CGFR) epoxy composites, fabricated using the hand layup technique. The key machining characteristics evaluated in this drilling process include surface roughness and circularity error. The influence of critical drilling process parameters, such as spindle speed, drill …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 100–112 Read article
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Development of Fast and Power Efficient Elevator
Abstract: The rapid urbanization and vertical expansion of cities have led to a surge in the construction of high-rise buildings, creating a growing demand for elevator systems that are not only fast but also energy efficient. As population density in metropolitan areas increases, the pressure on vertical transportation systems intensifies, highlighting the need for solutions that can handle high passenger traffic without compromising performance or sustainability. This study presents the development …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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Virtual Job Assistance
Abstract: In today’s competitive job market, interviews are a critical gateway to employment, but many candidates struggle with effective preparation. Traditional methods, such as mock interviews with friends or career counselors, often fail to provide detailed feedback or replicate real-world interview dynamics. The “AI-Powered Virtual Job Interview Simulator” addresses these challenges by leveraging advanced technologies, such as Natural Language Processing (NLP), to create a realistic and engaging environment for interview practice. …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 1–11 Read article
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Microbially Modified Sustainable Cementitious Composites Using Industrial Ash Fillers
Abstract: The growing demand for sustainable, durable construction materials has driven the development of bio-engineered cementitious composites incorporating industrial by-products and self-healing mechanisms. This study investigates a microbially modified cementitious composite that integrates industrial ash fillers with bacteria-based self-healing technology to enhance mechanical performance and microstructural integrity while reducing cement consumption. Cement was partially replaced with industrial ash at 20%, 30%, and 40% replacement levels, and a uratolytic bacterial strain (Bacillus …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 331–350 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Management of the Quality of Performance for Construction Projects Using of ISO 9001-2008 as Criteria
Abstract: The construction industry is one of the oldest industries known to man, has flourished since an old historical eras and has achieved advanced degrees of excellence in its products and methods of implementation for these products. That the importance of the construction industry in the daily life of the human being in the national economy of various countries, This confirms that the achievement of quality n this industry has economic …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 75–87 Read article
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A Study on Safety Climate Status in Oil and Gas Industries of Karnataka
Abstract: AbstractIndustrial workers all around the world, mainly oil and gas and construction workers often work at dangerous worksites, where they are constantly exposed to hazardous components. This leads to many catastrophic events and disasters. Safety is an important concept which needs to be followed in all industries in order to avoid accidents. But, very few studies related to the safety climate in oil and gas industries have been conducted in …
Published in Journal of Industrial Safety Engineering · Vol. 5, Issue 1, 2018 · pp. 35–43 Read article