This study aims to increase voltage stability and reduce voltage collapse in the 44-bus 330KV grid transmission network in Nigeria. The reduced Jacobian matrix, JR, has been decreased, and the modal approach uses steady state mode to determine the smallest eigenvalue and all related eigenvectors.
Finding plant leaves is a crucial step in preventing a major outbreak. The automatic diagnosis of plant disease is an important research area. Similar to humans and other animals, plants also experience the negative effects of sickness. These diseases affect the entire plant, including the leaf, stem, fruit, root, and flower.
Cloud Computing helps customers to take benefit from the variety of services, such ason-demand self-service, universal network connectivity, risk transfer, a usage-based payment andlocation-independent resource sharing.
Expected goals of a football match determine whether a team have won or lost. When considering the expected goal results, a team may appear to have lost the game but actually win it, and vice versa.
Concrete is one of the composite material consisting of Coarse Aggregate, Fine aggregate, cement and water to cement ratio. All the components of the concrete are very important and affect the properties of the concrete at both fresh stage and hardened stage. Fresh properties of the cement and concrete such as setting time, heat of hydration, consistency and soundness.
Platforms like Facebook, Twitter, YouTube, and Instagram, produce enormous amounts of data every second and have emerged drastically over the past 10 years as social network development has accelerated. Important knowledge about social interactions and human behavior is provided by this vast, comprehensive data set.
Plastic is light weight and resistant material capable of being fabrication in various ways. Nowadays, large number of plastic bottles are wasted and disposed every day. To construct building the plastic bottles are useful. Waste plastic bottles provides thermal comfort while being sustainable.
Increasing the throughput of a wireless sensor network is a descriptive term for an efficient routing technique that creates an efficient network. Wireless Sensor Network is used to develop an efficient and authentic wireless network model.
Fruit harvesting has shown to be a substantial obstacle to both market and production during the harvest season. Because hand-picking involves so much labor and time, it is difficult to fully satisfy the urgent demands of each market, especially given the recent human resources and aging issues in agriculture.
Forest fires are one of the natural disasters that happen the most frequently today. Forest fires are a matter of concern because they cause extensive damage to environment, property and human life. By doing this, the region’s resources and flora and fauna may both be saved.
Brushless DC Motors have recently discovered frequent usage in industrial applications due to their advantages over other AC motors. This paper basically talks about the speed control of a BLDC motor fed from a standalone Solar PV system with perturb and observes the MPPT method to extract the maximum efficiency. The Particle Swarm Optimization technique has been used to find the optimized result for the PID controller.
From IG to 4G, there have been four generations of advancements in mobile wireless technology. The use of the internet by more people is currently causing growth in wireless communication technology. Higher data rates are drawing a lot of attention due to wireless transmission's lack of flexibility, poor quality, lost connections, and insufficient coverage. The current (4G) generation of wireless connectivity is unable to satisfy customer needs. At the moment, several mobile technologies operate on the 900, 1800, 2100, and 2300 MHz frequencies.
The most nutritive crop that is being cultivated across the globe is the tomato plant. Moreover, it has a vital impact on the growth of the agricultural economy in terms of cultivation and export levels Plants not only contains protein, but also has pharmacological properties that safeguard the people from conditions like “high blood pressure, hepatitis, gingival bleeding”, etc.
A novel three-phase switched-capacitor (SC) topology is proposed in this paper. A seven-level line-to-line output voltage waveform is generated by the fundamental structure of the proposed topology, which includes eight switches and two capacitors, per phase leg. The proposed topology has several main features, including increased boost capabilities, lower voltage stresses, and a minimum number of device counts.
One of the most common food crops grown worldwide is the potato. Numerous diseases prevent potato plants from growing properly. This plant's leaf area has observable illnesses. Early Blight (EB) and Late Blight are two prevalent leaf ailments that affect potato plants (LB). To improve the yield of this crop, it would be very beneficial if these diseases were discovered early on.
Many workplace environments pose significant risks to human workers, such as the handling of hazardous waste, radioactive materials, explosive devices, or hostage situations. To safely perform these tasks, a machine capable of working in such environments is necessary. This study aimed to develop a prototype robotic pick-and-place vehicle capable of performing tasks similar to those of human workers in hazardous conditions.
The rapidly changing industry moves from IC engine vehicles to EV's. India's government intends to have only electric vehicles by 2030. Large scale of charging infrastructure is required to make EVs widely accepted, as charging time is the primary obstacle to EV adoption. With the widespread use of electric vehicles, the current power supply may experience significant instability.
This project aims to implement an Internet of Things (IoT) based system for monitoring and controlling circuit breakers, which are crucial components in industrial electrical systems for protection and switching. As circuit breakers age and undergo numerous operations, concerns regarding their reliability arise. To ensure their reliability, preventive maintenance is typically carried out at fixed intervals.
As concerns about climate change continue to grow, sustainable development and renewable energy are becoming increasingly important worldwide. Predicting the energy output of sustainable sources at a specific location throughout the year can greatly aid in making informed investments in sustainable energy. Energy forecasting can also help mitigate uncertainties surrounding resource availability.
It's common to have gatherings with plenty of food, but unfortunately, a lot of it goes to waste. Food waste occurs for various reasons, and this project aims to address it by creating a system to manage excess food and vegetables. The system is designed to connect food providers with TRUST/NGO personnel who require it. The system comprises an administrator, a food/vegetable supplier, and a Trust member.
Historically, manual coding and debugging have been essential components of front-end development, which is a fundamental aspect of web application development. Advancements in artificial intelligence (AI) have revolutionized the profession by offering techniques and resources to automate several aspects of earlier development. The white paper delves into the integration of artificial intelligence (AI) into front-end development workflows, with a specific focus on code generation, design optimization, and intelligent debugging.
The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the research landscape has transforming almost every extending field, including pharmaceutical research. The idea of drug discovery itself is very conventional and has long been criticized for being overly lengthy and expensive, which sometimes may take more than 10 years and billions of dollars to develop a certain drug.
Data federation is emerging as a critical strategy for integrating and querying data across diverse cloud data sources, offering a unified view without necessitating data migration. This paper explores the efficiency and considerations involved in implementing data federation across cloud environments. We analyze the performance impacts, including query response times and resource utilization, and discuss strategies to optimize federated queries.
As there is much innovation marking the current world, CRM systems are one of the key elements working to support the activities of a company. Salesforce CRM Cloud is one of the popular cloud-based CRM systems that allow an organization to improve customer relations, increase organizational efficiency, and advance commercial success. In this paper, therefore, a comprehensive analysis shall be made of how advanced engineering is used at Salesforce CRM in formulating customized solutions within various businesses.
The use of social media data within the context of insurance is changing the way insurers obtain insight into customer conduct and risk evaluation. The following paper focuses on how insurance companies fit user-generated content to make customer profiling and risk modeling better, as well as to develop appropriate insurance products. Analyzing big data analytics, machine learning, and natural language processing, the paper considers the advantages and limitations of integrating social media data into underwriting, fraud detection, and customer service. Various key ethical issues, such as privacy, security, and compliance, are also covered.
This comprehensive study explores the transformative impact of Generative AI (Gen AI) on urban living, focusing on its applications across various industries that shape modern city experiences. The research outlines how Gen AI is revolutionizing smart city initiatives, healthcare systems, infrastruct ure development, and other key sectors that directly influence urban quality of life.
E-commerce has drastically altered the course of our global supply chain management landscape, offering both new hurdles and new horizons for companies operating on multiple market levels. Evolving consumer expectations, including real-time inventory visibility, selling (through) speed of delivery, and hyper-localized customer experiences, have further spurred this evolution to a new level of innovation in supply chain strategies during the past decade. E-commerce has also led to a slew of additional technologies like Big Data, Artificial Intelligence (AI), Machine Learning, Internet of Things (IoT), and Blockchain that were previously applied in the domain and have now modified processes all along from order fulfillment to last-mile delivery.
This paper presents a practical, hands-on approach to optimizing the annealing process for Delrin molded parts by eliminating the need for a secondary post-molding annealing step. In our plastic injection molding facility, we faced challenges with a time-consuming 37-hour annealing cycle necessary for achieving the required crystallinity and dimensional stability in parts exposed to extreme environmental conditions. This cycle not only consumed significant labor and energy resources but also introduced delays that impacted our production efficiency.
As organizations increasingly adopt cloud computing for enterprise resource planning (ERP) systems, ensuring robust database security and protecting data access have become paramount. Cloud environments, while offering flexibility, scalability, and cost-efficiency, also introduce new challenges in safeguarding sensitive business data. This paper explores key strategies for securing database access within cloud-based ERP systems, focusing on the vulnerabilities associated with cloud infrastructures and the potential risks to data integrity, confidentiality, and availability.
ANN Based Voltage Stability Enhancement and Voltage Collapse Reduction in Stressed Multi-Bus Network using Controlled
STATCOME.N. Aneke,I.I. Eneh,J.C. Iyidobi
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This study aims to increase voltage stability and reduce voltage collapse in the 44-bus 330KV grid transmission network in Nigeria. The reduced Jacobian matrix, JR, has been decreased, and the modal approach uses steady state mode to determine the smallest eigenvalue and all related eigenvectors.
Segmentation and Classification of Leaf Disease Using Radial Basis Function neural NetworkT. Vignesh, E.Srie Vidhya Janani
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Finding plant leaves is a crucial step in preventing a major outbreak. The automatic diagnosis of plant disease is an important research area. Similar to humans and other animals, plants also experience the negative effects of sickness. These diseases affect the entire plant, including the leaf, stem, fruit, root, and flower.
Privacy Preservation Techniques in Cloud ComputingHimani Saini , Gopal Singh
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Cloud Computing helps customers to take benefit from the variety of services, such ason-demand self-service, universal network connectivity, risk transfer, a usage-based payment andlocation-independent resource sharing.
Expected Goals Prediction in Football using XGBoostHarish S, Abishek Kevin A, Harsha Vardhan U, Sharon Femi P
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Expected goals of a football match determine whether a team have won or lost. When considering the expected goal results, a team may appear to have lost the game but actually win it, and vice versa.
Study on the Effect of Waste Water on the Physical Properties of Cement and Concrete at Fresh StageSonali S. Patil, Omkar
Bidkar, Nitin More, Shradha Gore, Priyanka Urade, Sharddha Ingale, Prajkta Limkar
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Concrete is one of the composite material consisting of Coarse Aggregate, Fine aggregate, cement and water to cement ratio. All the components of the concrete are very important and affect the properties of the concrete at both fresh stage and hardened stage. Fresh properties of the cement and concrete such as setting time, heat of hydration, consistency and soundness.
Personality Prediction Using Machine Learning Techniques - A Review Ashutosh Kumar Choudhary, P.Lahari, V.Anusha, V.Devipriya,
Y.Shiva Shankar Reddy, P.Sai Diwakar
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Platforms like Facebook, Twitter, YouTube, and Instagram, produce enormous amounts of data every second and have emerged drastically over the past 10 years as social network development has accelerated. Important knowledge about social interactions and human behavior is provided by this vast, comprehensive data set.
Utilisation of Waste Plastic Bottles for Manufacturing of BlocksShrikrishna Gosavia1, Omkar Bidkar, Rajndini Pawar, Rutuja Shirke,
Harshda Deshmukh, Ankita Jagdale
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Plastic is light weight and resistant material capable of being fabrication in various ways. Nowadays, large number of plastic bottles are wasted and disposed every day. To construct building the plastic bottles are useful. Waste plastic bottles provides thermal comfort while being sustainable.
Performance Evaluation of CBGNR, CBDGR Routing Protocol in WSNSantosh Kumar Yadav, Sanjeev Gangwar
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Increasing the throughput of a wireless sensor network is a descriptive term for an efficient routing technique that creates an efficient network. Wireless Sensor Network is used to develop an efficient and authentic wireless network model.
Development of Solar Power Agriculturally Based Fruit Picking RobotImran Miah, Selim Sultan, Jigdrel Wangchuk, Savitha R
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Fruit harvesting has shown to be a substantial obstacle to both market and production during the harvest season. Because hand-picking involves so much labor and time, it is difficult to fully satisfy the urgent demands of each market, especially given the recent human resources and aging issues in agriculture.
Emerging Methods for Early Detection of Forest Fires Using Artificial IntelligenceV. Mohandas, Dr. S.M.H. Sithi Shameen Fathima
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Forest fires are one of the natural disasters that happen the most frequently today. Forest fires are a matter of concern because they cause extensive damage to environment, property and human life. By doing this, the region’s resources and flora and fauna may both be saved.
Speed Control of BLDC Motor fed from Solar PV Array using particle Swarm OptimizationB. Vadivel, Dr. J. Karthikeyan,
V. Kanagasubramanian
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Brushless DC Motors have recently discovered frequent usage in industrial applications due to their advantages over other AC motors. This paper basically talks about the speed control of a BLDC motor fed from a standalone Solar PV system with perturb and observes the MPPT method to extract the maximum efficiency. The Particle Swarm Optimization technique has been used to find the optimized result for the PID controller.
Design of Microstrip Patch Antenna for Radar and 5G ApplicationsOsman Diriye Hussein, Anisa Ali Hussein
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From IG to 4G, there have been four generations of advancements in mobile wireless technology. The use of the internet by more people is currently causing growth in wireless communication technology. Higher data rates are drawing a lot of attention due to wireless transmission's lack of flexibility, poor quality, lost connections, and insufficient coverage. The current (4G) generation of wireless connectivity is unable to satisfy customer needs. At the moment, several mobile technologies operate on the 900, 1800, 2100, and 2300 MHz frequencies.
Survey on Disease Identification and Severity Level Estimation on PlantMrs. Supriya Bhosale, Dr. Aditi Chhabria
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The most nutritive crop that is being cultivated across the globe is the tomato plant. Moreover, it has a vital impact on the growth of the agricultural economy in terms of cultivation and export levels Plants not only contains protein, but also has pharmacological properties that safeguard the people from conditions like “high blood pressure, hepatitis, gingival bleeding”, etc.
A High-Resolution Single-Source Three-Phase Switched-Capacitor Inverter with High Voltage GainSapana Sharma, V N Patil
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A novel three-phase switched-capacitor (SC) topology is proposed in this paper. A seven-level line-to-line output voltage waveform is generated by the fundamental structure of the proposed topology, which includes eight switches and two capacitors, per phase leg. The proposed topology has several main features, including increased boost capabilities, lower voltage stresses, and a minimum number of device counts.
Classification of Potato Plant Leaf Diseases Using Convolution Neural NetworksUmesh D. Shirale, Dr. Ajij Sayyad
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One of the most common food crops grown worldwide is the potato. Numerous diseases prevent potato plants from growing properly. This plant's leaf area has observable illnesses. Early Blight (EB) and Late Blight are two prevalent leaf ailments that affect potato plants (LB). To improve the yield of this crop, it would be very beneficial if these diseases were discovered early on.
Rescue Robot Control Car Using ESP32-CamEsakkiappan.K, Indhra Kumar.S, Fayaz Ahamed.R, Mohammed Hisbullah.V.S, Aandal.R
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Many workplace environments pose significant risks to human workers, such as the handling of hazardous waste, radioactive materials, explosive devices, or hostage situations. To safely perform these tasks, a machine capable of working in such environments is necessary. This study aimed to develop a prototype robotic pick-and-place vehicle capable of performing tasks similar to those of human workers in hazardous conditions.
Solar Powered Wireless Charging Station for EVJeyaramakrishnan A S, Ajay M, Haja Farhaan L, Marisan S, Selvakumar S
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The rapidly changing industry moves from IC engine vehicles to EV's. India's government intends to have only electric vehicles by 2030. Large scale of charging infrastructure is required to make EVs widely accepted, as charging time is the primary obstacle to EV adoption. With the widespread use of electric vehicles, the current power supply may experience significant instability.
Real-time Embedded Based Circuit Breaker Monitoring Through IOTJeya Nagaraja J, Dr.R.Rajagopal, Joseph Lordson F, Joseph Rohan P,
Anand Akash N
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This project aims to implement an Internet of Things (IoT) based system for monitoring and controlling circuit breakers, which are crucial components in industrial electrical systems for protection and switching. As circuit breakers age and undergo numerous operations, concerns regarding their reliability arise. To ensure their reliability, preventive maintenance is typically carried out at fixed intervals.
Solar Power Forecasting Using Artificial Neural NetworksGeetha S, Menaga S, Sivakumar G
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As concerns about climate change continue to grow, sustainable development and renewable energy are becoming increasingly important worldwide. Predicting the energy output of sustainable sources at a specific location throughout the year can greatly aid in making informed investments in sustainable energy. Energy forecasting can also help mitigate uncertainties surrounding resource availability.
Using Food Waste as Consumable Organic ResourceKarthika B, Nithya Jayashri P, Sanmuga Priya M
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It's common to have gatherings with plenty of food, but unfortunately, a lot of it goes to waste. Food waste occurs for various reasons, and this project aims to address it by creating a system to manage excess food and vegetables. The system is designed to connect food providers with TRUST/NGO personnel who require it. The system comprises an administrator, a food/vegetable supplier, and a Trust member.
Using Artificial Intelligence to Automate Front-End Development Entails Creating Intelligent Code and Trouble Shooting
Nithish Nadukuda
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Historically, manual coding and debugging have been essential components of front-end development, which is a fundamental aspect of web application development. Advancements in artificial intelligence (AI) have revolutionized the profession by offering techniques and resources to automate several aspects of earlier development. The white paper delves into the integration of artificial intelligence (AI) into front-end development workflows, with a specific focus on code generation, design optimization, and intelligent debugging.
Evolving Drug Discovery: Artificial Intelligence and Machine Learning's Impact in Pharmaceutical Research
Naga Ramesh Palakurti
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The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the research landscape has transforming almost every extending field, including pharmaceutical research. The idea of drug discovery itself is very conventional and has long been criticized for being overly lengthy and expensive, which sometimes may take more than 10 years and billions of dollars to develop a certain drug.
Examining the Application of Data Federation across Cloud Databases in the Financial Services Domain Prasenjit Banerjee,
Rajarshi Roy, Chalamayya Batchu, Piyush Ranjan
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Data federation is emerging as a critical strategy for integrating and querying data across diverse cloud data sources, offering a unified view without necessitating data migration. This paper explores the efficiency and considerations involved in implementing data federation across cloud environments. We analyze the performance impacts, including query response times and resource utilization, and discuss strategies to optimize federated queries.
Salesforce CRM Cloud: Crafting Tailored Solutions through Advanced EngineeringAtul Gupta
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As there is much innovation marking the current world, CRM systems are one of the key elements working to support the activities of a company. Salesforce CRM Cloud is one of the popular cloud-based CRM systems that allow an organization to improve customer relations, increase organizational efficiency, and advance commercial success. In this paper, therefore, a comprehensive analysis shall be made of how advanced engineering is used at Salesforce CRM in formulating customized solutions within various businesses.
Social Media Data in Insurance: Exploring New Frontiers for Customer Insights and Risk AnalysisDevidas Kanchetti
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The use of social media data within the context of insurance is changing the way insurers obtain insight into customer conduct and risk evaluation. The following paper focuses on how insurance companies fit user-generated content to make customer profiling and risk modeling better, as well as to develop appropriate insurance products. Analyzing big data analytics, machine learning, and natural language processing, the paper considers the advantages and limitations of integrating social media data into underwriting, fraud detection, and customer service. Various key ethical issues, such as privacy, security, and compliance, are also covered.
Redefining Urban Experiences: The Transformative Power of Generative AI Across Multiple Industries for Urban Living
Ankit Bansal
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This comprehensive study explores the transformative impact of Generative AI (Gen AI) on urban living, focusing on its applications across various industries that shape modern city experiences. The research outlines how Gen AI is revolutionizing smart city initiatives, healthcare systems, infrastruct ure development, and other key sectors that directly influence urban quality of life.
Evaluating the Transformative Impact of E-commerce on Global Supply Chain ManagementFaiz Mohiuddin Mulla
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E-commerce has drastically altered the course of our global supply chain management landscape, offering both new hurdles and new horizons for companies operating on multiple market levels. Evolving consumer expectations, including real-time inventory visibility, selling (through) speed of delivery, and hyper-localized customer experiences, have further spurred this evolution to a new level of innovation in supply chain strategies during the past decade. E-commerce has also led to a slew of additional technologies like Big Data, Artificial Intelligence (AI), Machine Learning, Internet of Things (IoT), and Blockchain that were previously applied in the domain and have now modified processes all along from order fulfillment to last-mile delivery.
Optimizing Annealing in Delrin Molding for Enhanced Durability and Cost EfficiencyDhrudipsinh Dabhi
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This paper presents a practical, hands-on approach to optimizing the annealing process for Delrin molded parts by eliminating the need for a secondary post-molding annealing step. In our plastic injection molding facility, we faced challenges with a time-consuming 37-hour annealing cycle necessary for achieving the required crystallinity and dimensional stability in parts exposed to extreme environmental conditions. This cycle not only consumed significant labor and energy resources but also introduced delays that impacted our production efficiency.
Cloud Computing and Database Security: Strategies for Protecting Data Access in ERP SystemsSanjay Ramdas Bauskar
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As organizations increasingly adopt cloud computing for enterprise resource planning (ERP) systems, ensuring robust database security and protecting data access have become paramount. Cloud environments, while offering flexibility, scalability, and cost-efficiency, also introduce new challenges in safeguarding sensitive business data. This paper explores key strategies for securing database access within cloud-based ERP systems, focusing on the vulnerabilities associated with cloud infrastructures and the potential risks to data integrity, confidentiality, and availability.