Electrical and Automation Engineering最新文献

Power System Fault Detection and Analysis Using Numerical Relay in Power grid Corporation Limited, Shoolagiri 在 Shoolagiri 电网有限公司使用数字继电器进行电力系统故障检测和分析

Electrical and Automation Engineering Pub Date : 2023-12-29 DOI: 10.46632/eae/2/1/21

{"title":"Power System Fault Detection and Analysis Using Numerical Relay in Power grid Corporation Limited, Shoolagiri","authors":"","doi":"10.46632/eae/2/1/21","DOIUrl":"https://doi.org/10.46632/eae/2/1/21","url":null,"abstract":"The faults in a power system may be of various nature and they may affect the stability of the power system by causing outage of the line, there by overloading other connected lines and also causing cascading effect in the system. In order to access the nature of fault and analyze the impact of the same in a power system, fault analysis is required to be carried out as the same will be useful for the system operation and to take quick decisions in securing the system. In this paper we discuss the various types of faults in EHV system that may occur in line or substation. These faults are identified by Numerical relays which use IEDs [Intelligent Electronic Device]. The faults identified includes symmetrical and unsymmetrical faults in power system. Further in this project, we have taken into consideration the theoretical and practical study of the fault analysis through Numerical relays. In case of occurrence of Transient faults, Auto re-closure works with dead time of 1 sec. Current, voltage, Breaker status (open, close) are graphically represented by Disturbance Recorder. Events are recorded by Event logger. The above mentioned project for faults and analysis of faults in line or substation were carried out at Power grid Corporation Limited, 400 / 230kv Sub-Station Shoolagiri.","PeriodicalId":446446,"journal":{"name":"Electrical and Automation Engineering","volume":"44 S207","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139146543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Wireless Charging of Electric Vehicle While Moving with dual input Sources 利用双输入源为行驶中的电动汽车无线充电

Electrical and Automation Engineering Pub Date : 2023-12-20 DOI: 10.46632/eae/2/1/20

{"title":"Wireless Charging of Electric Vehicle While Moving with dual input Sources","authors":"","doi":"10.46632/eae/2/1/20","DOIUrl":"https://doi.org/10.46632/eae/2/1/20","url":null,"abstract":"This project presents a novel localization method for electric vehicles (EVs) charging through wireless power transmission (WPT) and solar based charging. With the proposed technique, the wireless charging system can self-determine the most efficient coil to transmit power at the EV’s position based on the proximity sensors activated by its wheels. To ensure optimal charging, our approach involves measurement of the transfer efficiency of individual transmission coil to determine the most efficient one to be used. This not only improves the charging performance, but also minimizes energy losses by autonomously activating only the coils with the highest transfer efficiencies. The results show that with the proposed system it is possible to detect the coil with maximum transmitting efficiency without the use of actual power transmission and comparison of the measured efficiency. This project also proves that with the proposed charger set-up, the position of the receiver coil can be detected almost instantly and get charge while moving in the road. This indeed saves energy and boosts the charging time. Here we also introduce the solar panel in the top of the EV which indeed saves energy and boosts the charging time in day time. The vehicle battery voltage and current data can be monitoring continuously and updated in online.","PeriodicalId":446446,"journal":{"name":"Electrical and Automation Engineering","volume":"27 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139168506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Finger Print Sensing Vehicle Starter 指纹感应车辆启动器

Electrical and Automation Engineering Pub Date : 2023-07-24 DOI: 10.46632/eae/2/1/16

{"title":"Finger Print Sensing Vehicle Starter","authors":"","doi":"10.46632/eae/2/1/16","DOIUrl":"https://doi.org/10.46632/eae/2/1/16","url":null,"abstract":"The fingerprint vehicle starter project aims to increase the security of vehicles by using biometric authentication technology. Biometrics system can be used as a good and effective security option. An important and very reliable human identification method is fingerprint identification. Vehicle safety has become a serious problem as the frequency of crime has increased. Vehicle keys are a big concern these days since they are easily forgotten or lost when carried. At start, this technology lets the customer to authenticate by scanning their unique fingerprint. The system uses a fingerprint scanner to identify the authorized user of the vehicle, allowing them to start the engine. This project is designed to prevent car theft and improve user convenience, as drivers will not need to carry keys with them. The system allows multiple users to register as authorized users. When into monitoring mode, the system checks for users to scan. On scanning, the system checks if user is authorized user. The system is implemented using an Arduino microcontroller and a fingerprint sensor module, which communicate with the vehicle's ignition system. The project's success is evaluated based on its accuracy in identifying the authorized user and its reliability in preventing unauthorized access to the vehicle. This project has the potential to significantly improve vehicle security and enhance user experience. This provides safe and worry-free way to begin the engine or automobile. The fingerprint vehicle starter project aims to increase the security of vehicles by using biometric authentication technology. Biometrics system can be used as a good and effective security option. An important and very reliable human identification method is fingerprint Identification.","PeriodicalId":446446,"journal":{"name":"Electrical and Automation Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130598918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Novel Application of Furniture Product Using Augmented Reality 增强现实技术在家具产品中的新应用

Electrical and Automation Engineering Pub Date : 2023-07-24 DOI: 10.46632/eae/2/1/17

引用次数: 0

Heart Attack Detection and Heart Rate Monitoring System Using IOT 使用物联网的心脏病发作检测和心率监测系统

Electrical and Automation Engineering Pub Date : 2023-06-01 DOI: 10.46632/eae/2/1/19

P. Divya, Y. Dhamini, lekha Sharu, Suprajaa Sree Vishnu

{"title":"Heart Attack Detection and Heart Rate Monitoring System Using IOT","authors":"P. Divya, Y. Dhamini, lekha Sharu, Suprajaa Sree Vishnu","doi":"10.46632/eae/2/1/19","DOIUrl":"https://doi.org/10.46632/eae/2/1/19","url":null,"abstract":"The system proposed in this project uses an IoT-based ESP32 Node MCU and a heart rate sensor to detect heart attacks and monitor heart rate. The device has the ability to measure the user's heart rate in real-time and spot irregularities that might be signs of a possible heart attack. The proposed system also has the ability to upload the collected data to the cloud for additional processing and archiving. A Max 10300 heart rate sensor, an ESP32 Node MCU, and a microcontroller to process and analyse the gathered data make up the system. Wi-Fi connectivity is used by the system to send data to the cloud, which can both the patients' own and the healthcare professionals' access. The suggested system has a number of benefits, including continuous monitoring, real-time data processing, and automatic heart attack detection, all of which have the potential to save lives. A noteworthy development in the healthcare industry is the heart attack diagnosis and heart rate monitoring system employing the Internet of Things-based ESP32 Node MCU and Max 10300 heart rate sensor. For people who want to track their heart health in real-time and look for any potential irregularities, it provides a practical and affordable alternative. Healthcare professionals might also utilize the technology to remotely check the heart health of their patients and take emergency action","PeriodicalId":446446,"journal":{"name":"Electrical and Automation Engineering","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126251418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Design of UAV Antennas and Challenges: Review 无人机天线设计与挑战:综述

Electrical and Automation Engineering Pub Date : 2023-04-01 DOI: 10.46632/eae/2/1/2

Jainwal Kapil, S. Vivek, Shrivastava Vineet

引用次数: 0

Weed Identification in Agricultural Fields Using Machine Learning Techniques 利用机器学习技术识别农田杂草

Electrical and Automation Engineering Pub Date : 2023-04-01 DOI: 10.46632/eae/2/1/14

Chepati Dhana Lakshmi, Gajjala Satish Kumar Reddy, Chukka Yaswanth Kumar, Chinta Mounika, T. Ravi Sekhar

引用次数: 0

Hydroponics – A smart farming and Implementation of Ecommerce website for farmers based on full stack 水培法——一个基于全栈的智能农业和电子商务网站的实现

Electrical and Automation Engineering Pub Date : 2023-04-01 DOI: 10.46632/eae/2/1/11

N. Supritha, Varshini S Kashyap, Swati Subray, S. Hegde, Vinay

{"title":"Hydroponics – A smart farming and Implementation of Ecommerce website for farmers based on full stack","authors":"N. Supritha, Varshini S Kashyap, Swati Subray, S. Hegde, Vinay","doi":"10.46632/eae/2/1/11","DOIUrl":"https://doi.org/10.46632/eae/2/1/11","url":null,"abstract":"The current global population is expected to reach 9.7 billion by 2050, which will put immense pressure on the food production system to meet the growing demand. However, the traditional farming system alone is not sufficient to meet this demand due to various limitations such as limited land availability, environmental factors, and inefficient use of resources. As a result, there is a real need for adapting new farming systems that can help stimulate plant growth faster and more efficiently. One such technique is Hydroponics, which is a soil-less method of growing plants using mineral nutrient solutions in a water solvent. Hydroponics has been proven to be more efficient than traditional farming systems, as it allows for higher crop yields in less time and with fewer resources. Therefore, creating awareness about this new farming technique and providing farmers with the necessary resources and support to implement it on their farms can help address the food production challenges. In addition to the farming technique, farmers are also facing issues related to intermediaries, who take a cut of their profits, resulting in losses for the farmers. To address this problem, a platform is being created to enable direct interaction between farmers and buyers By implementing this solution, farmers can increase their income, improve their standard of living, and contribute to the development of a sustainable and efficient food production system.","PeriodicalId":446446,"journal":{"name":"Electrical and Automation Engineering","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115801820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real Time Web-based System to Detect Military Aircraft Using RESNET-50 Algorithm 基于RESNET-50算法的军用飞机实时网络检测系统

Electrical and Automation Engineering Pub Date : 2023-04-01 DOI: 10.46632/eae/2/1/13

C. Venkata Sudhakar, Limbakar Deekshitha, Charan Kummari, Rauniyar Pintu Sah, Mahathi Kessamsetty

{"title":"Real Time Web-based System to Detect Military Aircraft Using RESNET-50 Algorithm","authors":"C. Venkata Sudhakar, Limbakar Deekshitha, Charan Kummari, Rauniyar Pintu Sah, Mahathi Kessamsetty","doi":"10.46632/eae/2/1/13","DOIUrl":"https://doi.org/10.46632/eae/2/1/13","url":null,"abstract":"As target detection in remote sensing imaging depends on aircraft type recognition, it is essential in both civil and military applications. The job is made more difficult by the existence of fine-grained features, which can result in significant intra-class changes due to variations in size, posture, and angle, as well as modest inter class changes due to very similar subcategories. This kind of system can be helpful for military security as recognition of the type of aircraft is very critical to the decisions being made. There are several existing ways which uses methods like Radar System and Radio footprints, Speed etc., to detect type of Aircraft. Although these methods are massively costly and still cannot detect the type of Aircraft accurately. In this paper aircraft is detected using ResNet-50, Advance State of Art Object Detection Algorithm implementing in Anaconda tool with train accuracy is 98% & validate accuracy is 75%. A crucial area of artificial intelligence is object detection, which enables computer systems to perceive their surroundings by identifying things in visual pictures or movies. In case of any dangerous Aircraft, the system will have capability to raise alarm and Alert using Audio Sirens. The software requirement for this project is python, 3.6/anaconda, or newer and necessary python modules.","PeriodicalId":446446,"journal":{"name":"Electrical and Automation Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114785287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development Of Deep Learning Model for Wheat Disease Identification and Classification 小麦病害识别与分类的深度学习模型开发

Electrical and Automation Engineering Pub Date : 2023-04-01 DOI: 10.46632/eae/2/1/12

Rayavarapu V. Ch Sekhar Rao, P. Divya, K. Ram Mohan, M. Murali Krishna

{"title":"Development Of Deep Learning Model for Wheat Disease Identification and Classification","authors":"Rayavarapu V. Ch Sekhar Rao, P. Divya, K. Ram Mohan, M. Murali Krishna","doi":"10.46632/eae/2/1/12","DOIUrl":"https://doi.org/10.46632/eae/2/1/12","url":null,"abstract":"Plants play an essential role in climate change, agriculture industry and a country’s economy. There by taking care of plants is very crucial. Just like humans, plants are affected by several disease caused by bacteria, fungi and virus. Identification of these disease timely and curing them is essential to prevent whole plant from destruction. Identification of the plant leaf diseases is the key to preventing the losses in the yield and quantity of the agricultural product. Most of the countries depend upon agriculture. Due to the factors like diseases, pest attacks and sudden change in whether condition, the productivity of crop decreases. The studies of the plant diseases mean the studies of visually observable patterns seen on the plants. It takes long time and difficult to detect a disease in a plant manually. Hence, Deep Learning is used for detection of plant diseases. For this approach, Convolution neural networks will be used for classification based on learning with some training samples of Plant leaves like wheat. The algorithm and method that are used here is convolution neural network (CNN) by using EfficientnetB3 architecture using the Python programming. Overall, the approach of training deep learning models on increasingly large and publicly available image datasets presents a clear path towards crop disease diagnosis on a massive global scale. Finally, the simulated result shows the disease of the plant and how much area it is affected.","PeriodicalId":446446,"journal":{"name":"Electrical and Automation Engineering","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133711759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0