2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)最新文献_第4页

IoT-based Emergency Alert System Integrated with Telegram Bot 与Telegram Bot集成的基于物联网的紧急警报系统

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193550

Muhammad Imran Muzakkir Abu.Zaid, R. Abdullah, S. I. Ismail, N. Dzulkefli

{"title":"IoT-based Emergency Alert System Integrated with Telegram Bot","authors":"Muhammad Imran Muzakkir Abu.Zaid, R. Abdullah, S. I. Ismail, N. Dzulkefli","doi":"10.1109/I2CACIS57635.2023.10193550","DOIUrl":"https://doi.org/10.1109/I2CACIS57635.2023.10193550","url":null,"abstract":"Fires and robberies are two of the most traumatic events that can happen in a person’s life. Both situations can lead to the loss of precious objects, including jewelry, electronic gadgets, cash, and other important items that might have been acquired over the years. The impact of such events can be far-reaching and can leave an indelible mark on the victim’s life for a long time after the event. Taking safety measures to protect against fire and theft can lessen the likelihood of loss in the event of a disaster. As a result of this, it is necessary to develop an updated warning system which is an upgrade on the one that is already in existence. The Emergency Alert System (EAS) is a system that is designed to provide the user with information regarding the condition of their home. This system was built with a NodeMCU, a gas sensor, a sound sensor, and typical alert devices like an emergency light and a siren. In the past, a standard alert would only notify the people in the general neighborhood, but now it could also notify the owner even when they are not at home. This project utilized the Internet of Things (IoT) and is integrated with Telegram Bot as a tool to expand the alert system’s notification capabilities.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128500325","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

Passive Forgery Detection Techniques:A Survey 被动伪造检测技术综述

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193581

Wasan Fahad Mashaan, I. T. Ahmed

引用次数: 0

Integration of Luenberger Estimator with Control Reconfiguration System for Hypersonic Aircraft 高超声速飞行器控制重构系统与Luenberger估计的集成

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193439

Z. Zaludin

{"title":"Integration of Luenberger Estimator with Control Reconfiguration System for Hypersonic Aircraft","authors":"Z. Zaludin","doi":"10.1109/I2CACIS57635.2023.10193439","DOIUrl":"https://doi.org/10.1109/I2CACIS57635.2023.10193439","url":null,"abstract":"Dynamic instability of hypersonic aircraft was well known. To ensure a stable and controlled flight throughout the hypersonic flight phase, a robust automatic flight control system was needed. In addition, in the unlikely event of a flight control failure, the autopilot must be able to remain operational and maintain flight stability. In this paper, the hypersonic aircraft feedback control system was designed using Linear Quadratic Regulator theory to guarantee dynamic stability and ensure robustness. Not all aircraft state variables were measurable hence, Luenberger estimator was incorporated to estimate the other states. Then a Control Reconfiguration System was incorporated to recover dynamic stability in the event of flight control failure. The work done showed that during single flight control malfunction, the feedback control system, Luenberger estimator and Control Reconfiguration System were able to maintain flight stability. This paper also shows that activities of the remaining working flight controls increased significantly to compensate for the lost, to maintain dynamic stability.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133440216","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 Non-Isolated High-Gain Non-Inverting Interleaved DC-DC Converter Multi-Output Network for Renewable Energy Application 用于可再生能源的非隔离高增益非反相交错DC-DC变换器多输出网络

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193243

F. Mumtaz, N. Yahaya, M. Rahman, Md Mahmudul Hasan

{"title":"A Non-Isolated High-Gain Non-Inverting Interleaved DC-DC Converter Multi-Output Network for Renewable Energy Application","authors":"F. Mumtaz, N. Yahaya, M. Rahman, Md Mahmudul Hasan","doi":"10.1109/I2CACIS57635.2023.10193243","DOIUrl":"https://doi.org/10.1109/I2CACIS57635.2023.10193243","url":null,"abstract":"Increasing electricity demand can be met with clean energy production using renewable energy instead of conventional fossil fuel-based electricity generation methods to reduce carbon emissions. Utilizing multiple renewable energy sources within a single power generation system is known as a hybrid renewable energy source (HRES) system. The main objective behind the development of HRES is to resolve the intermittency issue of an individual renewable energy source (RES). As researchers are focusing more on the optimum use of energy, they have developed low-power energy-saving appliances operated on DC voltage. In order to meet the applications voltage requirements, different voltage levels are required. This paper proposes a parallel combination of networks to generate multiple output DC voltage levels. The selection of the different voltage levels is based on the standard IEC 60038 of the International Electrotechnical Commission. Each of the networks is comprised of a non–isolated, high–gain, non-inverting interleaved (NIHGNII) DC-DC converter, and for the optimum switching of the (NIHGNII) DC-DC converter proportional-integral (PI) control technique is integrated as a feedback control. Performance evaluation of the proposed system is carried out based on steady-state response under seven different scenarios for all three networks. The maximum steady-state response was observed during scenario 7 for all three networks, for network 1 is 0.17 s, for network 2 is 0.11 s, and for network 3 is 0.13 s. The proposed multi-output power system model is analyzed and investigated with different possible scenarios through software simulation using MATLAB/Simulink environment.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116136982","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 GWO, BAT, and CLAHE in Image Contrast Enhancement GWO、BAT和CLAHE在图像对比度增强中的比较

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193070

Amna H. Diab, Wesam M. Jasim, I. T. Ahmed

引用次数: 0

An Implementation of Brain Emotional Learning Based Intelligent Controller for AVR System 基于大脑情绪学习的AVR系统智能控制器的实现

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193647

Shahrizal Saat, M. R. Ghazali, Mohd Ashraf Ahmad, Nik Mohd Zaitul Akmal Mustapha, Mohd Zaidi Mohd Tumari

{"title":"An Implementation of Brain Emotional Learning Based Intelligent Controller for AVR System","authors":"Shahrizal Saat, M. R. Ghazali, Mohd Ashraf Ahmad, Nik Mohd Zaitul Akmal Mustapha, Mohd Zaidi Mohd Tumari","doi":"10.1109/I2CACIS57635.2023.10193647","DOIUrl":"https://doi.org/10.1109/I2CACIS57635.2023.10193647","url":null,"abstract":"In this paper, an intelligent controller based on brain emotional learning called BELBIC is applied and optimized by Particle Swarm optimization algorithm. PSO algorithm is used to tuned twelve BELBIC controller parameters in order to improve the time domain parameters such as overshoot percentage (OS%), rise time (tr), settling time (ts) and steady state error (Ess) of the step response for an AVR system in order to minimize value of objective function based on ZLG method. This proposed PSO-BELBIC controller time domain parameters performance is compared with the PSO-PID, IKA-PID and SCA-PID controller. From the simulation, the proposed model free PSO-BELBIC controller was confirm able to provide the best objective function minimization value. This proposed PSO-BELBIC controller also able to provide superior performance to reduce overshoot percentage, steady state error and settling time compared to others controller. However, this proposed controller still have a space to improve its rising time parameter by investigate new formulation of Si and ES for BELBIC controller.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114065012","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

Acceptance Analysis of IWB Systems in Education using UTAUT2 Model: The Moderating Role of Perceived Technological Innovations 利用UTAUT2模型分析教育中IWB系统的接受度:感知技术创新的调节作用

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193662

Noelyn M. De Jesus, Eltimar T. Castro, Cory Antonio Buyan

{"title":"Acceptance Analysis of IWB Systems in Education using UTAUT2 Model: The Moderating Role of Perceived Technological Innovations","authors":"Noelyn M. De Jesus, Eltimar T. Castro, Cory Antonio Buyan","doi":"10.1109/I2CACIS57635.2023.10193662","DOIUrl":"https://doi.org/10.1109/I2CACIS57635.2023.10193662","url":null,"abstract":"Interactive Whiteboard (IWB) Systems are increasingly being used to replace traditional whiteboards in educational activities, making them more efficient and interesting for both teachers and students. However, no studies have been conducted to investigate how age, educational level, and employment status can impact the adoption and usage of IWB systems in the educational setting. The study aims to analyze the acceptance and the influencing factors on faculty members’ intention and usage behavior towards IWB systems in teaching, utilizing the Modified-Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. 135 faculty members from various colleges and departments across Batangas State University ARASOF-Nasugbu Campus were surveyed and data was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) through SmartPLS software for hypotheses testing. The results of the study indicate that faculty members’ behavioral intention to use interactive whiteboard systems in teaching is positively influenced by performance expectancy and social influence. Moreover, facilitating conditions and habit positively impact usage behavior. This study, therefore, concludes that there is significant roles of performance expectancy and social influence as well as the moderating effect of age on the behavioral intention to use interactive whiteboard (IWB) systems in education. Furthermore, the study confirms that effort expectancy, hedonic motivation, and status as moderating variables significantly influence faculty members’ usage behavior when using IWB systems in teaching.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114176282","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

Adaptive Real-Time Data Collection Device to Centralize Mechanical Ventilator Monitoring using Pytesseract-OCR 应用Pytesseract-OCR集中监测机械呼吸机的自适应实时数据采集装置

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10192980

Rowel S. Facunla, John J. Martinez

{"title":"Adaptive Real-Time Data Collection Device to Centralize Mechanical Ventilator Monitoring using Pytesseract-OCR","authors":"Rowel S. Facunla, John J. Martinez","doi":"10.1109/I2CACIS57635.2023.10192980","DOIUrl":"https://doi.org/10.1109/I2CACIS57635.2023.10192980","url":null,"abstract":"Abstract Respiratory therapists from different hospitals in the Philippines are currently performing room-to-room visitation to patients with respiratory conditions to monitor the data from mechanical ventilator machines. However, this exposes them to various respiratory diseases and puts them at risk of infection. Utilizing Internet-of-Things is imperative to design a remote monitoring system in implementing a solution to lessen the exposure of respiratory therapists and healthcare workers and prevent the possible further spreading of various respiratory diseases. While ventilators can be designed and replaced with built-in telemonitoring capability, acquiring new equipment with such functionality can be costly. This study proposes to design a device that can be attached to old model ventilators to make them able to be remotely viewable in a centralized monitoring station. This study takes advantage of using an open-source optical character recognition tool (Pytesseract-OCR) so that instead of transferring images that require a lot of data, the device will only transfer text data of vital information. The images captured are pre-processed and warped to increase the confidence level of character recognition of Pytesseract-OCR. The device was able to recognize text from ventilator monitors with confidence level of 58.6% to 94.3% with an average of 81.568%. The team were also able to display the captured data to a centralized monitoring station.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"724 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123850396","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

RFID Based Attendance Monitoring System with LED Authentication 基于RFID的LED认证考勤监控系统

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193394

Muhammad Iqbal Muqri Rozlan, S. B. Kutty, N. Sulaiman, Nor Syazwani Mohd Pakhrudin, S. Saaidin, M. Kassim

{"title":"RFID Based Attendance Monitoring System with LED Authentication","authors":"Muhammad Iqbal Muqri Rozlan, S. B. Kutty, N. Sulaiman, Nor Syazwani Mohd Pakhrudin, S. Saaidin, M. Kassim","doi":"10.1109/I2CACIS57635.2023.10193394","DOIUrl":"https://doi.org/10.1109/I2CACIS57635.2023.10193394","url":null,"abstract":"Most institutional authorities are concerned by the laborious process of manually tracking staff attendance. Many applications on web and mobile have been deployed but still many manual signings attendance record exists at non-internet connections environment which documentation takes a long time and risky. The problem is some attendance records were missing while staff indicated that they have log in. Thus, an attendance monitoring using RFID has been proposed. This research has designed an RFID-based attendance tracking system that uses an RFID card to uniquely identify each employee or student’s attendance with LED authentication. The method to develop the system is comprised of hardware and software components such as RFID cards, RFID reader model RC522, buzzer, and LED. Users’ attendance record is collected whereby users touch the RFID card on the RFID reader. Data for three different locations was collected and analysed. Result has identified that the RFID system is faster in 20 seconds which is 80% performance compared to manual attendance. This study is significant for attendance reporting which is automatically synchronized with a real-time clock and the attendance records is more accurate and would help the administration monitor the staff attendance at the non-internet connections environment.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127484171","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 Analysis of Convolutional Neural Network Architectures for Coffee Leaf Rust Detection 卷积神经网络结构在咖啡叶锈病检测中的比较分析

2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) Pub Date : 2023-06-17 DOI: 10.1109/I2CACIS57635.2023.10193074

Andrea Kristine Lelis, Emanuel Gethresito I. Ferriols, Kim Marcial A.Vallesteros, Jen Aldwayne B. Delmo

{"title":"A Comparative Analysis of Convolutional Neural Network Architectures for Coffee Leaf Rust Detection","authors":"Andrea Kristine Lelis, Emanuel Gethresito I. Ferriols, Kim Marcial A.Vallesteros, Jen Aldwayne B. Delmo","doi":"10.1109/I2CACIS57635.2023.10193074","DOIUrl":"https://doi.org/10.1109/I2CACIS57635.2023.10193074","url":null,"abstract":"Coffee plays a cultural part in the lives of people. Eight out of ten adults in the Philippines drink an average of 2.5 cups of coffee per day, and nine out of ten households have coffee in their pantries. In 2021, it is reported that coffee will be an approximately PHP 3.0 billion (USD 5 million) industry in the country. As such, much effort is placed into sustaining its economic production. Botanical studies reveal that some factors severely affect the quality of coffee plants. One of them is coffee leaf rust which is caused by the fungus known asHemileia vastatrix and affects many coffee-growing regions.If not detected early enough it can greatly reduce coffee yield or worse wipe out an entire plantation affecting the farmers. This study proposes a methodology for detecting coffee leaf rust disease using computer vision and employs multiple pre-trained architectures of Convolutional Neural Networks (CNNs). Specifically, this study used twenty-five convolutional neural networks, and the best-performing models are ResNet101V2, InceptionV3, ResNet50V2, Xception, and DenseNet169. They have a training accuracy of 92.62%, 96.90%, 93.45%, 98.45%, and 96.79% respectively. Meanwhile, their validation accuracy is 91.67%, 90%, 94.44%, 93.89%, and 95.56% respectively. Out of the top five CNNs, ResNet101V2 achieved the highest test accuracy with 95.56% and it also excels in other evaluation metrics such as Precision, Recall, and F1 – score. Although this study used a variety of CNNs, it is also recommended to use more types of algorithms as well as increase the number of epochs. Future studies can also consider the detection of other coffee diseases and a larger dataset for a wider scope. Overall, the result of this study is a step closer to achieving improved coffee production and the livelihoods of farmers.","PeriodicalId":244595,"journal":{"name":"2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128532216","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