2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)最新文献_第4页

Minimizing Energy Loss for Multiple Load Power Flow Assignment in Smart Homes 智能家居中多负荷潮流分配的能量损失最小化

2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC) Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209436

Yuto Lim, S. Javaid, Yasuo Tan, Ruengwit Khwanrit

{"title":"Minimizing Energy Loss for Multiple Load Power Flow Assignment in Smart Homes","authors":"Yuto Lim, S. Javaid, Yasuo Tan, Ruengwit Khwanrit","doi":"10.1109/ICEPECC57281.2023.10209436","DOIUrl":"https://doi.org/10.1109/ICEPECC57281.2023.10209436","url":null,"abstract":"Nowaday, it is a great challenge to design the Energy storage system (ESS) with the renewable energy (RE) resources in the distributed energy systems. The intermittent nature of energy makes that the RE resources are unstable energy resources and becomes very difficult to use in the house level environment. In this paper, we consider a distributed power flow system (DPFS), which consists of uncontrollable power generators, unpredictable usage of power loads, and multiple ESSs, in which their different combinations of logical power connections to minimize the energy loss. We propose a multiple load power flow assignment (MPFA) with load shifting algorithm to deal the logical power connection via single ESS or multiple ESSs to mitigate the possibility of energy loss reduction and to improve the energy efficiency of DPFS in the smart home domain. Simulation results reveal that the proposed algorithms can significantly reduce the energy loss in winter and summer seasons. Numerically, the proposed MPFA algorithms with load shifting algorithm can reduce more energy loss by about 11.4% and 13.8% during winter and summer, respectively. Our numerical results also show that the highest energy loss is in spring compared to other three seasons.","PeriodicalId":102289,"journal":{"name":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121775763","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

Electrical Substation Environment Monitoring System Using Energy Efficient Algorithm for Wireless Sensor Network 基于无线传感器网络节能算法的变电站环境监测系统

2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC) Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209549

Saddique Haroon, Muhammad Aqeel Ijaz, Afeef Obaid

{"title":"Electrical Substation Environment Monitoring System Using Energy Efficient Algorithm for Wireless Sensor Network","authors":"Saddique Haroon, Muhammad Aqeel Ijaz, Afeef Obaid","doi":"10.1109/ICEPECC57281.2023.10209549","DOIUrl":"https://doi.org/10.1109/ICEPECC57281.2023.10209549","url":null,"abstract":"From the aspect of system protection and disaster prevention, the environment monitoring system in a substation is an essential section. Continuous monitoring of environmental changes such as increase or decrease in temperature, humidity, or detection of any gas leakage is required to protect the substation from any environmental as well as technical hazards. Wireless Sensor Network (WSN) proves to be a cost efficient solution for such environment monitoring systems with the added benefits of small size and installation flexibility. Due to the capacity limitation of the energy source, the lifetime of WSN is one of the major concerns for researchers. The clustering protocol has been proven to prolong the lifetime of WSN by ensuring balanced energy consumption amongst the nodess. This research work presents an Energy-Efficient Sleep Awake Clustering Algorithm (EESACA) with network design of indoor environment monitoring system at 132kV substation barki road DHA-8 Lahore, Pakistan. The proposed algorithm EESACA considers sleep-awake mode among the nodes based upon their remaining node’s energy. Only those nodes are allowed to participate in the setup phase and steady state phase, whose residual energy is greater than the threshold value. The network lifetime of various communication protocols is comparatively analyzed. Simulation results verify the proposed algorithm’s effectiveness for a more extended network lifetime.","PeriodicalId":102289,"journal":{"name":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130732603","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

Bayesian Inference Based Generation of Human-Like Anthropomorphic Arm Movements 基于贝叶斯推理的类人拟人化手臂运动生成

2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC) Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209546

Mohammad Shoaib Babar, Hamza Taj, Nouman Aziz, Wasif Muhammad, Sohaib Siddique Butt, Syed Umar Rasheed, Hammad-Ud-Din

{"title":"Bayesian Inference Based Generation of Human-Like Anthropomorphic Arm Movements","authors":"Mohammad Shoaib Babar, Hamza Taj, Nouman Aziz, Wasif Muhammad, Sohaib Siddique Butt, Syed Umar Rasheed, Hammad-Ud-Din","doi":"10.1109/ICEPECC57281.2023.10209546","DOIUrl":"https://doi.org/10.1109/ICEPECC57281.2023.10209546","url":null,"abstract":"The addition of human-like gestures to robots can improve productivity and have a big influence on how people interact with them. In order to help anthropomorphic arms produce precise human-like motions, this research introduces a unique planning method for human-like movements. Movement primitives, a Bayesian network (BN), and a new Long Short Term Memory network make up the three elements of the approach (LSTM). Human arm movements are broken down using movement primitives, and classifying arm motions improves the realism of human-like motions. The probability that a movement will occur is predicted using a motion-decision algorithm based on Bayesian Netwrok, which also chooses the best mode of motion. A brand new LSTM is also created to address the inverse kinematics issues with anthropomorphic arms. Several models are combined into a single network using the LSTM, which modifies the network’s structure to reflect the properties of the individual models. The suggested method enables anthropomorphic arms to accurately produce a variety of human-like actions. Lastly, simulations are used to verify the effectiveness of the suggested technique.","PeriodicalId":102289,"journal":{"name":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123378429","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

Comparison of Dielectric Properties of Treated Shea Nut Oil with Mineral Oil Under AC Voltage 交流电压下处理过的乳木果油与矿物油介电性能的比较

2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC) Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209511

Obande Jonathan Ochigbo, Sabo Ibrahim B-Kudu, M. Jamil

引用次数: 0

Optimized Focused Crawling for Web page Classification 网页分类的优化聚焦爬行

2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC) Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209473

Nazifa Fatima, M. Faheem, Muhammad Ziad Nayyer Dar

{"title":"Optimized Focused Crawling for Web page Classification","authors":"Nazifa Fatima, M. Faheem, Muhammad Ziad Nayyer Dar","doi":"10.1109/ICEPECC57281.2023.10209473","DOIUrl":"https://doi.org/10.1109/ICEPECC57281.2023.10209473","url":null,"abstract":"The geographical location in the globe is usually searched by following the geographical map. The same resemblance works for the Web search engine. The main job of the Web search engine is to get relevant Web pages from World Wide Web (WWW) for its end user. These Web pages are retrieved by Web crawlers (automated program). The Web crawling process starts with the seed list of URLs managed in queue. The Web page against each seed URL is fetched one after another. The hyperlinks on the Web pages are extracted and further added in the queue if relevant to the archiving task. This process continues until the required number of URLs are fetched. Focused crawler is one of the types of Web crawler that extracts only those Web pages that are relevant to the topic specified by the user. A topic is usually specified by keywords or some exemplary documents on which focused Web crawler decides whether a Web page is relevant to the topic or not. In focused Web crawlers automated Web page classification is used to classify the relevant and irrelevant Web pages. In this paper we have used a modified Genetic Algorithm (GA) based automated web page classifier. In this method keywords are used as feature set for the classification process. The crawled web pages are labeled as relevant or irrelevant. The best features are selected by the Genetic algorithm using Cosine Similarity function. These extracted features are used by classifier for the classification of relevant Web pages. Using the keywords as a feature, better precision, recall, accuracy and F1 scores are achieved.","PeriodicalId":102289,"journal":{"name":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130638060","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

Hand Gesture Recognition System for Recognizing of Indonesian Sign Language Number Using Attentional Convolutional Network 基于注意卷积网络的印尼语数字手势识别系统

2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC) Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209464

Elsen Ronando, Arief Rahman Hakim

引用次数: 0

Number Recognition System-based Virtual Sketch with Hand Gestures Using Attentional Convolutional Network 基于注意卷积网络的数字识别系统手势虚拟素描

2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC) Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209517

Elsen Ronando, Putri Rahayu Ningtiyas

引用次数: 0

An Integrated Machine Learning Framework for Effective Classification of Water 一种有效分类水的集成机器学习框架

2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC) Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209495

Isha Aleem, Attique ur Rehman, Sabeen Javaid, Tahir Muhammad Ali

{"title":"An Integrated Machine Learning Framework for Effective Classification of Water","authors":"Isha Aleem, Attique ur Rehman, Sabeen Javaid, Tahir Muhammad Ali","doi":"10.1109/ICEPECC57281.2023.10209495","DOIUrl":"https://doi.org/10.1109/ICEPECC57281.2023.10209495","url":null,"abstract":"Water is an essential need for all living things. The problem people are facing especially in urban areas is the diseases that have been caused by water which is mainly Dengue or malaria because there are many metals such as ammonium aluminum silver and other bacterial or viral things present in water. The first step toward a healthy lifestyle is to drink purified water. In this paper, the methodology that has been used here is to detect whether the water people are using for drinking purposes is safe enough to use or not in the data set and the specific methodology is binomial type as yes or no, 912 for positive states and 7084 negative states which means that 0.8864 for 0 and 0.114 for 1. The ratio for negative is far higher than the positive one. We tested the model in two ways first with simple feature extraction, smote Upsampling and with vote ensemble. In smote Upsampling accuracy with the random forest is 88.21 % (highest). The classification error of random forest is 11.7% and with the highest rate is 94.73% which is recall and specificity is 81.71% which is the lowest in the random forest whereas with vote ensemble the combinations of two algorithms have been used and the highest accuracy is from naive Bayes and KNN and the accuracy from them is 96.00% with the classification error of 6% only its precision rate is higher which is 98.89% and lowest specificity of 75.00%.","PeriodicalId":102289,"journal":{"name":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116540363","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

Non-Isolated LED Driver For Industrial Lighting Applications 用于工业照明应用的非隔离LED驱动器

2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC) Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209502

Maryam Zain, S. Iqbal, N. Siddique

引用次数: 0

Vision-Based Velocity Estimations for Autonomous Mobile Robots 基于视觉的自主移动机器人速度估计

2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC) Pub Date : 2023-03-08 DOI: 10.1109/ICEPECC57281.2023.10209483

S. J. A. Bakar, Richmond Tay Kim Hui, P. Goh, N. S. Ahmad

{"title":"Vision-Based Velocity Estimations for Autonomous Mobile Robots","authors":"S. J. A. Bakar, Richmond Tay Kim Hui, P. Goh, N. S. Ahmad","doi":"10.1109/ICEPECC57281.2023.10209483","DOIUrl":"https://doi.org/10.1109/ICEPECC57281.2023.10209483","url":null,"abstract":"Nowadays, the deployment of autonomous mobile robots (AMRs) in warehouses and factories is becoming increasingly prevalent. Various sensors are often fitted on the robot to identify adjacent objects for navigation. In order to maintain the performance in a dynamic environment, the robot must be able to predict the velocity of surrounding obstacles before a local path can be generated. In this work, a vision-based velocity estimation technique is proposed using a pattern matching technique via LabVIEW machine vision. The focus is on estimating the velocity of oncoming obstacles which can be either a robot, a human, or both. Three real-time experiments were conducted to evaluate the performance of the approach. From the experiments, the proposed technique results in average estimation errors of no greater than 0.8° for angle, and 0.41cm/s for speed for single obstacle detections. For multiple obstacle detections, average errors of no greater than 1.42° for angle, and 2cm/s for speed were obtained. Based on the recorded numerical results, the AMR is able to make decision when the obstacle is at least 39cm away from it, which is sufficient to avoid collision.","PeriodicalId":102289,"journal":{"name":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126090268","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