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

Implementation of Identification of Voltage Sag Location in Distribution Network with Harmonic 谐波配电网电压暂降位置识别的实现

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237159

Alif Irfan Kamaruddin, K. Daud, A. Samat, S. Omar, A. P. Ismail, Z. H. C. Soh

引用次数: 0

IoT Based Domestic Water Piping Leakage Monitoring and Detection System 基于物联网的生活水管泄漏监测检测系统

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237150

R. Boudville, Muhamad Haikal Hakimi, Muhammad Zaim Bin Kamal Abdul, K. A. Ahmad, S. Z. Yahaya, Nurul Izza Husin

{"title":"IoT Based Domestic Water Piping Leakage Monitoring and Detection System","authors":"R. Boudville, Muhamad Haikal Hakimi, Muhammad Zaim Bin Kamal Abdul, K. A. Ahmad, S. Z. Yahaya, Nurul Izza Husin","doi":"10.1109/ICCSCE58721.2023.10237150","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237150","url":null,"abstract":"Domestic or resident household water supply is very important for carrying out various activities. In Malaysia, domestic water supply is commonly drawn from the treatment plant managed by the public operators or state water companies. At each resident household, water meter is installed and applied by the public operators to monitor the usage and for billing purposes while homeowner takes over the responsibility of water usage after the meter. Residents had frequently reported about high water bill caused by unnoticed underground or inwall pipe leakage. Most of the pipework are hidden in walls or underground and homeowners may not always know that a leak has formed until they realize the rises water bill. Therefore, this project is to develop a domestic water piping leakage monitoring and detection system. The IoT based system is designed using an ESP32 microcontroller with Blynk application as all measured data are stored in Google sheets. YF-S201 water flow sensor is used to measure the water flow and water volume while a solenoid valve is used to control the water flow and water pressure. The system was installed at a two-story bungalow house and a few experiments were conducted. As a result, the system was able to identify leakage and an alert notification had been successfully sent to the owner via the Blynk notification.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"62 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":"127094812","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

Effects of Pre-Processing and Principal Components for Artificial Neural Network in Non-Destructive Internal Quality Prediction of Mango across Different Harvest Periods 预处理及主成分人工神经网络对芒果不同采收期内在品质无损预测的影响

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237167

Yit Peng Tan, K. Chia

{"title":"Effects of Pre-Processing and Principal Components for Artificial Neural Network in Non-Destructive Internal Quality Prediction of Mango across Different Harvest Periods","authors":"Yit Peng Tan, K. Chia","doi":"10.1109/ICCSCE58721.2023.10237167","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237167","url":null,"abstract":"Dry Matter content (DMC) is one of the important components can be used to determine the quality of mango. However, DMC measurement is destructive and tedious. Although near infrared spectroscopy (NIRS) is a promising fast and non-destructive analytical technique, the accuracy of NIRS is susceptible with the use of pre-processing methods throughout the NIRS modeling process across different harvest periods. Thus, this research aims to investigate the effects of pre-processing methods on two popular different machine learning models (i.e. artificial neural network (ANN) and principal components ANN (PCs-ANN) in non-destructive internal quality prediction using NIRS. Two different pre-processing methods i.e. Standard Normalized Vector (SNV) and second order Savitzky-Golay (SG) would be applied to pre-process the near infrared spectra prior to the machine learning process. Result indicates that both ANN and PCs-ANN with second order SG outperformed that with SNV and that without pre-processing method. Additionally, based on root mean squared errors of validation (RMSEV), ANN outperformed PCs-ANN; while PCs-ANN outperformed ANN when root mean squared errors of prediction (RMSEP) was referred to. This indicates that ANN tends to be over-fitted while the involvement of principal component improves the robustness of ANN when it is applied to new samples that harvested from different periods.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"73 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":"122647683","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

Modeling and Control of Unmaned Aerial Vehicles 无人机建模与控制

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237091

Tan Kai Sheng, Mohd Fua'ad Rahmat

{"title":"Modeling and Control of Unmaned Aerial Vehicles","authors":"Tan Kai Sheng, Mohd Fua'ad Rahmat","doi":"10.1109/ICCSCE58721.2023.10237091","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237091","url":null,"abstract":"Recent years have seen significant expansion within Unmanned Aerial Vehicles (UAVs) with increasing demand from sectors including reconnaissance, surveillance, and delivery. This paper focus on the modelling and control aspects specific to quadcopters, a popular type of UAV with an ambition to increase their stability quotient whilst accounting for factors like thrust, torque and aerodynamics guided by mathematical equations and physics laws governing their dynamics with use of MATLAB Simulink. For effective stabilization purposes design objective is generating proportional-integral-derivative (PID) controllers while testing simulations to gauge the controller’s performance; the results highlight a reduction in oscillations and an increased stability with more favourable regulation of motion relatively than earlier. A physical quadcopter test then follows to cross-validate simulation findings for any subsequent required optimizations of existing PID controls. The project aims at contributing extensively towards enhancing UAV control through developing reliable and efficient PID controllers with specific focus towards quadcopters that can find application potential over other types of UAVs within this industry.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"17 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":"121958645","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

On the Universality of Active Noise Control Concepts in Control Engineering: A Perspective in Control Engineering Education 论控制工程中噪声主动控制概念的普遍性:控制工程教育的视角

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237103

Raja Kamil

{"title":"On the Universality of Active Noise Control Concepts in Control Engineering: A Perspective in Control Engineering Education","authors":"Raja Kamil","doi":"10.1109/ICCSCE58721.2023.10237103","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237103","url":null,"abstract":"Active Noise Control (ANC) systems involve the application of many control engineering concepts which makes them suitable for control engineering education at both undergraduate and postgraduate levels. The physics involved revolving around destructive noise interference through superposition is easily understood. The complexity of the system can be gradually increased from ideal to realistic cases to meet the required educational levels while introducing important control concepts like feedback and feedforward architecture, nonminimum phase, linearity and nonlinearity, time delay and multivariable systems. The ANC control methods are rich incorporating linear and nonlinear fixed nonadaptive and adaptive control, robust and optimal control, neural network, and fuzzy logic. The systems also enable introduction to deep learning, digital signal processing, and differences between analog and digital electronic systems. In this paper, the main control concepts, ideas, and methods applied in ANC in presented as a series of ‘concept’ to be addressed in control engineering education. Furthermore, this work aims towards translational research where the ideas and approach applicable to ANC may also be beneficial and adopted in other control applications.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"56 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":"130755366","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

Comparative Study between Horn-Schunk and Lucas Kenade Optical Flow Method for Lung Lesion Identification in Computed Tomography Images Horn-Schunk光流法与Lucas Kenade光流法在ct图像中肺部病变识别的比较研究

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237099

M. F. Abdullah, S. N. Sulaiman, Muhammad Khusairi Osman, N. Karim, A. I. C. Ani, D. S. A. Damit

{"title":"Comparative Study between Horn-Schunk and Lucas Kenade Optical Flow Method for Lung Lesion Identification in Computed Tomography Images","authors":"M. F. Abdullah, S. N. Sulaiman, Muhammad Khusairi Osman, N. Karim, A. I. C. Ani, D. S. A. Damit","doi":"10.1109/ICCSCE58721.2023.10237099","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237099","url":null,"abstract":"This study compares the Horn-schunk and Lucas Kenade optical flow methods for lung lesion identification in computed tomography (CT) images. Mostly, the detected lesions were based only on a single CT image. However, detecting lesions from a single image does not align with the Radiologist’s practice based on sequential images. Therefore, there is a need to consider the before-and-after images for identifying the moving object in the lung corresponding to the lesions’ detection. Hence, this project aims to identify the lung lesion using two optical flow methods. The method that analyses pair of images called the optical flow method was chosen since the object stores the direction and speed of a moving object from one image, or video frame to another. The optical flow-based approach uses a pair of frames as data to measure optical flow based on four different mode selections. A new method has been proposed to find the possible images of lung lesions based on the standard deviation from the threshold value. As the image pair selected, the Horn-Schunck and Lukas Kenade optical flow method was picked in this study. Based on two optical flow approaches, Horn-Schunk was the most efficient way of locating lesions using mode 0 with a standard deviation of 0.99%. The finding was revealed that the threshold value based on the length of the optical flow vector gives a significant output for predicting the lesions and non-lesion CT images range.","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":"132682890","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 Sensory Unit Using Single IMU Sensor for Knee Joint Movement 单IMU传感器膝关节运动传感单元的研制

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237173

K. ‘. Kamaruzaman, S. Z. Yahaya, Emilia Noorsal, R. Boudville, Fadzil Ahmad, Z. H. C. Soh

{"title":"Development of Sensory Unit Using Single IMU Sensor for Knee Joint Movement","authors":"K. ‘. Kamaruzaman, S. Z. Yahaya, Emilia Noorsal, R. Boudville, Fadzil Ahmad, Z. H. C. Soh","doi":"10.1109/ICCSCE58721.2023.10237173","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237173","url":null,"abstract":"People with paralysis due to neurological disorders such as stroke and SCI require scheduled rehabilitation exercise to regain muscle function and fitness. Most rehabilitation techniques involve some kind of devices or equipment that are dedicated to it. The sensory system is a key component in supporting the function of rehabilitation devices especially when it has elements of monitoring and control. IMU based systems that employ gyroscopes, accelerometer and magnetometer have a growing interest in measuring movement of body part during rehabilitation exercise. Thus, this study proposed the development of a wearable sensory unit using IMU to monitor the knee joint movement during sitting. The system used MPU9250 as a single sensing component to measure angular position and velocity of the knee. Based on the experimental work outcome, the system was proven to be efficient in performing the measurement of angular position and velocity and providing real time data logging for the purpose of data analysis and system control. Enhancement of this single used sensor to achieve the capabilities of two integrated sensors will be the aim for future work.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"2011 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":"133210355","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

ICCSCE 2023 Cover Page ic欧安会2023封面

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/iccsce58721.2023.10237136

引用次数: 0

A State-of-the-Art AF-HIDOP: A Model for Daily Covid-19 Infectious Disease Outbreak Spread Risk Prediction 最先进的AF-HIDOP: Covid-19传染病每日爆发传播风险预测模型

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237104

Moataz Billah M. Fayad, M. Youseffi, Jian-Ping Li, Mahadi M. Abdul Jamil

{"title":"A State-of-the-Art AF-HIDOP: A Model for Daily Covid-19 Infectious Disease Outbreak Spread Risk Prediction","authors":"Moataz Billah M. Fayad, M. Youseffi, Jian-Ping Li, Mahadi M. Abdul Jamil","doi":"10.1109/ICCSCE58721.2023.10237104","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237104","url":null,"abstract":"The pandemic produced by the COVID-19 virus has resulted in an estimated 6.4 million deaths worldwide and a rise in unemployment rates, notably in the UK. Healthcare monitoring systems encounter several obstacles when regulating and anticipating epidemics. The study aims to present the AF-HIDOP model, an artificial neural network Fast Fourier Transform hybrid technique, for the early identification and prediction of the risk of Covid-19 spreading within a specific time and region. The model consists of the following five stages: 1) Data collection and preprocessing from reliable sources; 2) Optimal machine learning algorithm selection; 3) Dimensionality reduction utilising principal components analysis (PCA) to optimise the impact of the data volume; 4) Predicting case numbers utilising an artificial neural network model, with 52% accuracy; 5) Enhancing accuracy by incorporating Fast Fourier Transform (FFT) feature extraction and ANN, resulting in 91% accuracy for multi-level spread risk classification. The AF-HIDOP model provides prediction accuracy ranging from moderate to high, addressing issues in healthcare-based datasets and costs of computing, and may have potential uses in monitoring and managing infectious disease epidemics. The procedure and results of phases two and three will be explained briefly in this study; however, identifying the performance of ML algorithms before and after tuning is essential. Hence, a second part will follow this article to elaborate on phases two and three.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"28 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":"124280260","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

Exploring Blockchain for KYC: Deepening Client Understanding 为KYC探索区块链:加深客户理解

2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2023-08-25 DOI: 10.1109/ICCSCE58721.2023.10237106

Muhammad Akmal Bin Anuar, A. Zeki, Adamu I. Abubakar

{"title":"Exploring Blockchain for KYC: Deepening Client Understanding","authors":"Muhammad Akmal Bin Anuar, A. Zeki, Adamu I. Abubakar","doi":"10.1109/ICCSCE58721.2023.10237106","DOIUrl":"https://doi.org/10.1109/ICCSCE58721.2023.10237106","url":null,"abstract":"Examining one’s client status in depth, also known by its acronym “Know Your Customer” (KYC), raises a significant problem that needs to be addressed thoroughly. As a result of this, the current paper examines the dynamics of client status and utilized “Blockchain Technology” to developed KYC. Since earlier research was lacking in its capacity to establish a KYC system, which is utilized in the financial sector, principally by banks, to collect information mandated by law regarding their customers in order to provide access to financial services, it is important to note this deficiency. The existing system makes use of databases that are hosted on servers operated by private corporations or by organizations that have their own infrastructures. Traditional KYC systems come with several potential drawbacks, including a single point of failure (SPOF), tedious and time-consuming processes for customers, and high costs to construct one’s own KYC identification and verification system. The aim of this project’s proof-of-concept is to mitigate the effects of the identified issues through the utilization of blockchain technology. The system’s ability to facilitate the data gathering and verification process was enhanced by the provision of previously registered KYC data by individual users through a single click, as well as the cross-checking of KYC data by bank users to verify their users’ information.","PeriodicalId":287947,"journal":{"name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"43 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":"116175101","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