2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)最新文献_第4页

Rainfall Classification Model for the Philippines using Optimized K-nearest Neighbor Algorithm with GridSearchCV Hyperparameter Tuning 基于GridSearchCV超参数调优的优化k近邻算法的菲律宾降雨分类模型

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237156

D. D. C. Maceda, Jennifer C.Dela Cruz

{"title":"Rainfall Classification Model for the Philippines using Optimized K-nearest Neighbor Algorithm with GridSearchCV Hyperparameter Tuning","authors":"D. D. C. Maceda, Jennifer C.Dela Cruz","doi":"10.1109/ICCSCE58721.2023.10237156","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237156","url":null,"abstract":"How much rain is likely to fall depends on a number of important things, such as the temperature, the number of clouds, the humidity, the speed of the wind, and the direction of the wind. Because it’s hard to tell how much rain will fall, this study paper was written. It’s important to know when it will rain, especially in a farming area like the Philippines, where it rains at strange times. The purpose of this research was to develop a method that could be used in place of the Philippine Atmospheric, Geophysical, and Astronomical Services Administration’s daily weather forecasts to determine whether or not it will rain in the Philippines. In this analysis, the K-Nearest Neighbor machine learning technique is used to categorize the input data into four classes, corresponding to the absence of rain, the presence of light rain, moderate rain, and heavy rain. Success may be evaluated in a number of ways, including via the use of metrics like accuracy, memory, f1-score, precision, and the confusion matrix. Lastly, their classification performance is evaluated and improved by fine-tuning the settings of K-NN using grid search, which gives a better mean accuracy of 85%.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"33 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":"125752086","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

Design and Implementation of 3–bit Calculator for an ALU using Vertical and Crosswise Multiplication 利用纵横乘法的ALU 3位计算器的设计与实现

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237101

Suresh Rasappan, Gunasekaran Thangavel, Musab A. M. Ali, N. Tahir

{"title":"Design and Implementation of 3–bit Calculator for an ALU using Vertical and Crosswise Multiplication","authors":"Suresh Rasappan, Gunasekaran Thangavel, Musab A. M. Ali, N. Tahir","doi":"10.1109/ICCSCE58721.2023.10237101","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237101","url":null,"abstract":"This paper presents a comprehensive endeavor focused on the construction and advancement of a 3-bit calculator designed for an Arithmetic Logic Unit (ALU). The primary method is the incorporation of both vertical and crosswise multiplication techniques. These techniques are harnessed to facilitate the multiplication of 3-bit values, employing foundational arithmetic operations as the cornerstone of the calculator’s functionality. The research delves into the utilization of software-driven methodologies to achieve this goal. This pivotal software component necessitates the development of a high-level programming language program. This program establishes a seamless interface with a digital circuit boasting logic gates, instrumental in the execution of intricate arithmetic operations. This software implementation is meticulously realized through the proficient employment of the Proteus Design Suite. Furthermore, this study ventures into a comparative analysis of the crosswise and vertical multiplication methods. This empirical investigation endeavors to ascertain the optimal approach for the calculator’s design. By rigorously probing the effectiveness and efficiency of both methods, the research endeavors to unveil the most potent design avenue.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"38 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":"117118990","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 Study on the Rotation Motor Correlation between Sound Signal and IMU Sensor 旋转电机声信号与IMU传感器的相关性研究

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237128

Ekkawit Wangkanklang, Nitas Suriyakan, Yoshikazu Koike

引用次数: 0

Uncertainty Based Approach of Commercial TOU Tariff 基于不确定性的商业分时电价方法

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237175

Muhammad Luqman Hakim, Muhammad Rizal, N. A. M. Leh, Zuraida Muhammad, Shabinar Abdul Hamid, Yusnita Mohd Ali

{"title":"Uncertainty Based Approach of Commercial TOU Tariff","authors":"Muhammad Luqman Hakim, Muhammad Rizal, N. A. M. Leh, Zuraida Muhammad, Shabinar Abdul Hamid, Yusnita Mohd Ali","doi":"10.1109/ICCSCE58721.2023.10237175","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237175","url":null,"abstract":"Time-of-Use (TOU) pricing is a system in which prices vary based on the time of day, with higher rates during periods of high demand and reduced rates during off-peak hours. In Malaysia, residential customers are charged a fixed rate. Industrial and commercial clients use simple TOU pricing, in which they pay a lower rate for power consumed at night and a higher rate for consumption during the day. Some industries have paid a high price for their products when they could have saved a significant amount of money by selecting the tariff that maximizes their benefits. Based on the provided sample data, an analysis of medium voltage general commercial tariff (C1) and medium voltage peak/off-peak commercial tariff (C2) is performed. This initiative applied uncertainty analysis to the C1 and C2 TOU tariffs for commercial users in Malaysia. Modelling and simulating the uncertainty analysis based on the mean and standard deviation required the dataset’s date-time and kW/h as the primary two parameters. The Python application was utilized to construct and comprehensively evaluate the model analysis. This study will only assess and compare the two available tariffs; all changes and decision-making will be left to the discretion of the users. The results indicate that tariff C1 provides customers with greater benefits than tariff C2 due to its reduced mean.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"49 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":"129424416","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

Hybrid Modal-Machine Learning Approach for Structural Damage Diagnosis 结构损伤诊断的混合模态-机器学习方法

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237133

Pei Yi Siow, Z. Ong, Shilei Chen

{"title":"Hybrid Modal-Machine Learning Approach for Structural Damage Diagnosis","authors":"Pei Yi Siow, Z. Ong, Shilei Chen","doi":"10.1109/ICCSCE58721.2023.10237133","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237133","url":null,"abstract":"Many machine-learning-based structural damage diagnosis methods have been developed in the recent decade due to the advancements of sensors and cloud computing. Machine learning models are accurate in making predictions when they are trained with sufficient labelled data, but only on seen events. In the context of damage diagnosis, damage events are rare. This leads to insufficient labelled damage data for machine learning model training, which is also known as the cold-start issue. A physics-based approach such as modal-based method that identifies damage through the changes in dynamic characteristics could be implemented at early phases of damage diagnosis before the trained model is available. Therefore, a two-stage hybrid modal-machine learning approach is proposed for structural damage diagnosis to solve the cold-start issue. The first stage applies an unsupervised method to detect damage presence, while the second stage implements a combination of mode shape assessment and supervised method to locate the damage when damage is present. Results showed accuracies of 100% in detecting damage presence at the first stage, up to 100% in locating unseen single damage at the second stage, and up to 83.3% in locating unseen multiple damages at the second stage.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"33 26","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131501593","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

Frontal Face Tracking in the Thermal Infrared Imaging for Autism Spectrum Disorder Children 自闭症谱系障碍儿童热红外成像中的正面人脸跟踪

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237149

M. A. Rashidan, S. N. Sidek, H. Yusof, A. S. Ghazali, N. Rusli

{"title":"Frontal Face Tracking in the Thermal Infrared Imaging for Autism Spectrum Disorder Children","authors":"M. A. Rashidan, S. N. Sidek, H. Yusof, A. S. Ghazali, N. Rusli","doi":"10.1109/ICCSCE58721.2023.10237149","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237149","url":null,"abstract":"The research and application of therapeutic robotics for children have gained significant attention. This study introduces a system for emotion recognition in Autism Spectrum Disorder (ASD) children that utilizes infrared thermal imaging cameras to capture the frontal facial images. The paper focuses on the development to automate, recognize and track the subjects frontal face using the Shape-Adapted Mean Shift algorithm (SAMShift) applied to thermal images. This system targets the identification of affective states in ASD children and employs non-invasive thermal imaging instead of invasive sensor patches. By integrating tracking and affective state analysis within a single modality, the system addresses the limitations of traditional visual-based systems, which often suffer from invasiveness due to the use of sensor patches, difficulty in automating and tracking facial features, and challenges in accurately identifying affective states. The SAMShift algorithm, implemented in the LabVIEW® vision module environment, is utilized for tracking the frontal face image. Experimental results demonstrate the effectiveness of the proposed method, achieving an average accuracy of 89.20% and an average precision of 95.40%. This research contributes to advancing the field of therapeutic robotics for children with ASD by providing an automated, non-invasive, and accurate approach to emotion recognition.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"47 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":"131880749","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

Maximum Demand Peak Shave Approach Utilising a Hybrid Solar PV and Battery Energy Storage System 利用混合太阳能光伏和电池储能系统的最大需求调峰方法

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237141

I. R. Ibrahim, Muhammad Naqib Bin Azman, N. A. Kamarzaman, Rosheila Darus

{"title":"Maximum Demand Peak Shave Approach Utilising a Hybrid Solar PV and Battery Energy Storage System","authors":"I. R. Ibrahim, Muhammad Naqib Bin Azman, N. A. Kamarzaman, Rosheila Darus","doi":"10.1109/ICCSCE58721.2023.10237141","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237141","url":null,"abstract":"The electrical energy is accumulated from various sources by a battery energy storage system (BESS), which then stores it in rechargeable batteries for later use. The highest level of electrical demand tracked over a given time, often for a month, is known as maximum demand (MD). Customers will be charged a penalty fee on their electricity statements as soon as the MD value exceeds the contractual power. Utility providers typically impose an MD penalty since they must accommodate this peak demand anytime customer requests it. There are numerous ways to lessen the MD penalty, including adopting peak shaving, load shedding, or demand side management to shift operations and consumptions from peak to off-peak times. In this study, a hybrid solar PV and battery energy storage system (BESS) will be used to attain the peak shaving strategy. The main purpose of the PV system is to recharge the battery in the system. A battery management system (BMS) is being developed to regulate the charging and discharging operation. Whenever the load demand approaches the MD, the MD controller will administer the peak shaving process by pumping energy from BESS to the load. As a case study, the load profile of the BKBA building, UiTM Cawangan Pulau Pinang (UiTMCPP) was recorded and analyzed. Then, Matlab Simulink is used to model the proposed system. It has been observed that the developed system successfully monitors the MD and manages the peak-shave operation, thus minimizing the electricity costs by avoiding the MD penalty. The case study demonstrates that the cost of electricity bills could be reduced by 8.4% per day.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"37 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":"133184257","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 and Evaluation of Wireless Oxygen Saturation Monitoring System 无线血氧饱和度监测系统的研制与评价

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237130

Muhammad Amar Haziq Mohd Karia, Shabinar Abdul Hamid, S. Abdullah, Zuraida Muhammad, Solahuddin Yusuf Fadhlullah, N. A. M. Leh

{"title":"Development and Evaluation of Wireless Oxygen Saturation Monitoring System","authors":"Muhammad Amar Haziq Mohd Karia, Shabinar Abdul Hamid, S. Abdullah, Zuraida Muhammad, Solahuddin Yusuf Fadhlullah, N. A. M. Leh","doi":"10.1109/ICCSCE58721.2023.10237130","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237130","url":null,"abstract":"Oxygen saturation (SpO2) is a critical parameter used to measure the amount of oxygen bound to hemoglobin in the bloodstream. Continuous monitoring and accurate records on the patient’s SPO2 are crucial to assist doctors in assessing the effectiveness of treatment and the need for supplemental oxygen. Therefore, this project proposes the development of a pulse oximeter device using dual RFID communication to enable continuous, real-time, and wireless data recording. The reading of SPO2 can vary in various situations. The evaluation to investigate significant factors that could affect the accuracy of SpO2 readings is carried out using the Design of Experiment and Analysis of Variance. The statistical analysis showed that the types of fingers and nail substances are the main factors that influence the accuracy of SpO2. The main effect plot shows that the SPO2 reading on the nail with oil substance and thumb gives the highest accuracy compared to other types of substance and types of fingers, respectively.","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":"131375270","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

Simulation and Analysis of Piezoelectric Energy Harvesting Device: Effects of Applied Weight on Output Voltage 压电能量收集装置的仿真与分析:施加重量对输出电压的影响

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237177

K. A. Ahmad, Mohamad Faizal Abd Rahman, Muhammad Khusairi Osman, M. A. Idin, R. Boudville, S. Z. Yahaya, Mat Nizam Mahmud, N. Abdullah

{"title":"Simulation and Analysis of Piezoelectric Energy Harvesting Device: Effects of Applied Weight on Output Voltage","authors":"K. A. Ahmad, Mohamad Faizal Abd Rahman, Muhammad Khusairi Osman, M. A. Idin, R. Boudville, S. Z. Yahaya, Mat Nizam Mahmud, N. Abdullah","doi":"10.1109/ICCSCE58721.2023.10237177","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237177","url":null,"abstract":"Piezoelectric devices represent a groundbreaking technology that enables the capture and conversion of mechanical energy from human motion into electrical energy. Such advancements have spurred the simulation of piezoelectric energy harvesting (PEH) devices, which hold significant potential in the realm of renewable energy technologies. In this study, a disk-type piezoelectric sensor was simulated, employing an electrostatic mathematical equation to replicate the mechanical force exerted by a load on the PEH device. Seven different weights, ranging from 4 kg to 11 kg, were tested on the piezo disk to examine their impact. The COMSOL software was utilized for comprehensive analysis. The outcomes revealed that the highest output voltage, reaching 3.1 V, was generated by the piezoelectric device when subjected to the highest weight and prolonged walking movement. These results strongly indicate that the force applied to the piezoelectric device significantly influences its output voltage. This research provides valuable insights into optimizing the performance of piezoelectric energy harvesting devices, which can find applications in powering electronic devices and mobile technologies. Future investigations may explore the scalability and feasibility of implementing piezoelectric energy harvesting devices in diverse fields, including healthcare and sports industries.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"140 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":"123301225","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 Imagined Speech Characteristics using Phase-based Connectivity Measures 基于相位连通性的想象语音特征分析

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237139

Meenakshi Bisla, R.S Anand

引用次数: 0