2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)最新文献_第7页

Improving Performance of Photovoltaic Solar Pumps Using PSO-Based Maximum Power Point Tracking 基于pso的最大功率点跟踪改善光伏太阳能泵的性能

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237154

Mohamad Zaid Nordin, Siti Sarah Mat Isa, A. Samat, Nornaim Kamarudin, Muhammad Eillieyin Mohd Ghazali, A. I. Tajudin

{"title":"Improving Performance of Photovoltaic Solar Pumps Using PSO-Based Maximum Power Point Tracking","authors":"Mohamad Zaid Nordin, Siti Sarah Mat Isa, A. Samat, Nornaim Kamarudin, Muhammad Eillieyin Mohd Ghazali, A. I. Tajudin","doi":"10.1109/ICCSCE58721.2023.10237154","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237154","url":null,"abstract":"This research project aims to enhance the efficiency and performance of photovoltaic (PV) solar pumps through the implementation of a Particle Swarm optimization (PSO)-based Maximum Power Point Tracking (MPPT) technique. The primary objective of this study is to design and model the Cuk converter for application in a PV water pump system, integrating the PSO-based MPPT technique to achieve optimal power extraction from the PV array. The MPPT algorithm, based on the PSO method, was developed and thoroughly validated through comprehensive simulations conducted in MATLAB/Simulink. Key highlights of the project include the achievement of over 80% accuracy for the solar module combined with a Brushless DC (BLDC) water pump, while effectively increasing the pumping speed by more than 50%. Through the incorporation of the PSO-based MPPT strategy, the system demonstrates superior power extraction and transfer capabilities, ensuring the maximum utilization of PV energy for water pumping operations. This research contributes to the advancement of sustainable energy solutions by enhancing the operational efficiency of PV water pumps. The proposed PSO-based MPPT technique, integrated with the Cuk converter, offers an innovative and effective approach to harnessing solar energy for water-pumping applications. The findings of this study provide valuable insights for researchers and practitioners working towards the integration of renewable energy systems in various applications","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122536868","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

Analysis of Centroid Position to Measure the Distance of People in the Crowd 用质心位置分析测量人群中人的距离

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237127

Slamet Riyadi, Cahya Damarjati, Hesti Media Tama, Siti Noraini Sulaiman

{"title":"Analysis of Centroid Position to Measure the Distance of People in the Crowd","authors":"Slamet Riyadi, Cahya Damarjati, Hesti Media Tama, Siti Noraini Sulaiman","doi":"10.1109/ICCSCE58721.2023.10237127","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237127","url":null,"abstract":"The COVID-19 pandemic is ongoing and has spread widely worldwide, including in Indonesia. The government has taken preventive measures, one of which is by maintaining a distance between people (physical distancing). The distance between people recommended by the WHO (World Health organization) to prevent the transmission of COVID-19 is 2 meters. Prevention of the spread of COVID-19 through physical distancing has encouraged the innovation of several researchers to create a distance detection system between people. In some studies, each object detected as a person is given an object point (centroid), which is a reference for measuring distances between objects. The centroid is usually positioned in the center of the object’s body, but the accuracy is low. This makes the author want to change the position of the centroid in the middle of the body to be under the feet of the object and perform analysis. Changes in the position of the centroid on the object greatly affect the results of distance detection between people. Distance calculation using the centroid under the object’s feet is more accurate than using the centroid in the object’s center. The result of distance detection accuracy with the centroid in the center of the object’s body is 56.60%. In comparison, the accuracy of distance detection with the centroid under the object’s feet is 66.98%.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115893831","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

A review on Performance of Various Types of Brain-Computer Interface 各类脑机接口性能研究进展

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237107

Bahareh Nazar Hosseini Saber, Reyhaneh Nazar Hosseini Saber

{"title":"A review on Performance of Various Types of Brain-Computer Interface","authors":"Bahareh Nazar Hosseini Saber, Reyhaneh Nazar Hosseini Saber","doi":"10.1109/ICCSCE58721.2023.10237107","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237107","url":null,"abstract":"The interface between external systems and the brain with a direct communication path is called the brain-computer interface (BCI). BCIs serve the purpose of assisting, enhancing, or restoring human cognitive or sensorimotor functions. Control signals are generated based on specific characteristics of brain activity in BCI systems, and they can be used to direct different outputs. There are many neurological disorders that can be caused by a malfunction in the sensorimotor integration system. In numerous situations, such disorders are not treatable with traditional drugs or currently available therapeutic technologies. A (BCI) is a tool that allows the reintegration of the sensorimotor loop, providing direct access to brain information. In this article, we tried to explain about BCI users and the basic principles of BCI and a complete explanation of what BCI is and how it can make, ALS and LIS patients communicate with their surroundings. In the following, we discuss the types of BCI and the most important received signal, which is P300. And finally, three common BCI methods have been explained regarding signal acquisition and signal analysis, which is done in order to translate the signal.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123260312","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

A Comparison of Deep Learning for Software Features Extraction in Forensic Online News 深度学习在法医在线新闻软件特征提取中的比较

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237097

Fredrikus Suarezsaga, Daniel Siahaan, Anny Yuniarti

{"title":"A Comparison of Deep Learning for Software Features Extraction in Forensic Online News","authors":"Fredrikus Suarezsaga, Daniel Siahaan, Anny Yuniarti","doi":"10.1109/ICCSCE58721.2023.10237097","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237097","url":null,"abstract":"Software features of forensics are functional components in software. Software feature extraction is performed to detect software features in documents in the form of online news with a forensic category. This study is conducted to find a suitable deep learning model for software feature extraction. This study uses a deep learning approach and CRF layers to perform software feature extraction. The deep learning methods used are BiLSTM-CRF, BiGRU-CRF, and LSTMCRF. The learning process uses Word Embedding models such as Glove, Word2Vec, and Fasttext. The dataset is collected through scraping from online news with the forensic category. The news was tokenized by word level into datasets and annotated. Tests compare deep learning methods that do not use the word embedding model and those that use word embedding. The experimental results show an increase of 2% - 7% in performance metrics. Combining the Fasttext and BiLSTM-CRF word embedding models results in the best performance, with a precision of 94.03%, a recall of 95.60%, an F1-measure of 93.66%, and an accuracy of 98.99%.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114892618","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

Fruit Quality Detection and Monitoring System 水果品质检测与监测系统

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237165

Md Maruf Kamran Sohag, Mohammad Ashfaq Ur Rahman, Muhtasim Ibteda Shochcho, Md.Ridwan Mahmud, Daiyan Mohammad Shams, Mysha Samiha, Mohammad Rejwan Uddin, Mahady Hasan

{"title":"Fruit Quality Detection and Monitoring System","authors":"Md Maruf Kamran Sohag, Mohammad Ashfaq Ur Rahman, Muhtasim Ibteda Shochcho, Md.Ridwan Mahmud, Daiyan Mohammad Shams, Mysha Samiha, Mohammad Rejwan Uddin, Mahady Hasan","doi":"10.1109/ICCSCE58721.2023.10237165","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237165","url":null,"abstract":"This paper proposes the use of Internet of things (IOT) technology in commercial shop for scanning a product and monitor its quality. The paper present overall monitoring system based on IOT, which includes sensor hubs for collecting its required data for scanning a product and monitoring it. The proposed system consists of multiple levels system, providing a new way for shop owners to access their shop’s product information. The paper presents an automated system for identifying a product quality, and monitoring system. The proposed automated product scanning system can help shop owners to maintain their good way of service, for this system, shop owners can reduce their labour cost. The use of IOT technology isn’t new for commercial shop owners, but they use different types of products for different kinds of sections. But in this proposed system they can control an overall system from products scanning to monitoring and it will be more cost effective than other system.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121752166","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

A Comparative Performance of Genetic Algorithm and Bayesian Optimization for Hyperparameter Tuning for Mammogram Classification 遗传算法与贝叶斯优化在乳腺x线照片分类超参数调优中的比较性能

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237178

Noorma Razali, I. Isa, S. N. Sulaiman, N. Karim, Muhammad Khusairi Osman, Z. H. C. Soh, Z. Yusoff

{"title":"A Comparative Performance of Genetic Algorithm and Bayesian Optimization for Hyperparameter Tuning for Mammogram Classification","authors":"Noorma Razali, I. Isa, S. N. Sulaiman, N. Karim, Muhammad Khusairi Osman, Z. H. C. Soh, Z. Yusoff","doi":"10.1109/ICCSCE58721.2023.10237178","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237178","url":null,"abstract":"An accurate breast cancer classification utilizing Convolutional Neural Network (CNN) requires the best option of hyperparameter selection to create a robust and adaptive algorithm based on different datasets. Standard optimization algorithms are subjected to nondeterministic and restricted to integer-valued parameters that cause a restricted optimization process on a highly non-linear dataset such as mammogram images. In this study, hyperparameter tuning through two optimization methods, Genetic Algorithm optimization (GAO) and Bayesian optimization (BO), are compared based on the evaluation for breast mass classification of benign and malignant on a publicly available mammogram image of the INbreast dataset. The best model shows an increase in testing accuracy at 90.05% and balancing of sensitivity to the specificity of 0.803 to 0.9481, improving its true positive rate when optimized using the GAO method. The optimization process allows for the combination of genetic mutations of the parent and fusion improves the creation of a population for the best-trained network.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121829249","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