2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)最新文献

People Detection System Using YOLOv3 Algorithm 基于YOLOv3算法的人员检测系统

2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSCE50387.2020.9204925

N. I. Hassan, N. Tahir, F. Zaman, H. Hashim

引用次数: 20

Modelling and Simulation of Omnidirectional Mobile Robot with Line Follower and Obstacles Avoidance 具有直线跟随和避障功能的全向移动机器人建模与仿真

2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSCE50387.2020.9204922

Muhammad Farhan Fahim Adnan, K. A. Ahmad, R. Boudville, Z. Hussain, Nurul Izza Husin

{"title":"Modelling and Simulation of Omnidirectional Mobile Robot with Line Follower and Obstacles Avoidance","authors":"Muhammad Farhan Fahim Adnan, K. A. Ahmad, R. Boudville, Z. Hussain, Nurul Izza Husin","doi":"10.1109/ICCSCE50387.2020.9204922","DOIUrl":"https://doi.org/10.1109/ICCSCE50387.2020.9204922","url":null,"abstract":"Mobile robot is a machine that has been supervised by running of software and combination of sensors, wheels and dc motors to move around its environment. Current mobile robot mostly uses unidirectional navigation where all parts of the robot align in the same direction during turning and navigating. This method requires some time and might decrease navigation performance. This study is focusing on improvement of mobile robot by using omnidirectional navigation that will follow the line and detect the obstacle. The combination of mecanum wheels with different direction produces different movement and angles of the mobile robot. Arduino microcontroller is used as a medium for the sensors, dc motors and mecanum wheels to interfaced with each other. The body of the mobile robot is square shaped, with attachment of 4 dc motors, 8 Ir sensors and 2 Ultrasonic sensors, 2 motor drivers (vnhs2sp3), Arduino Mega 2560, 4 Mecanum wheels and 12V dc battery used in this project. The hardware was assembled and the turning of mecanum wheel performance was measured. The line following navigation system was modelled in Proteus and the simulation shows a perfect line follower and obstacle avoidance mobile root.","PeriodicalId":193240,"journal":{"name":"2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123041416","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

2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSCE50387.2020.9204955

Fadhl Hujainah, R. A. Bakar, Essam Alhroob, Basheer Al-haimi, Abdullah B. Nasser

{"title":"Interrelated Elements in Formulating an Efficient Requirements Prioritization Technique: Review","authors":"Fadhl Hujainah, R. A. Bakar, Essam Alhroob, Basheer Al-haimi, Abdullah B. Nasser","doi":"10.1109/ICCSCE50387.2020.9204955","DOIUrl":"https://doi.org/10.1109/ICCSCE50387.2020.9204955","url":null,"abstract":"One of the key reasons for delivering a high quality software system is to meet the core requirements of the stakeholder. Software requirements prioritization (RP) is being used to identify the core requirements to be implemented as perceived by system stakeholders. Various research studies have been conducted by proposing new RP techniques and evaluating the performance of the RP process. Although existing studies have made a substantial contribution in improving RP performance, no explicit effort has been made to analyse the elements to be considered in formulating an effective RP process. Hence, this study aims to identify and investigate precisely the interrelated elements which must be taken into account in formulating an effective RP technique. To achieve the aim of this study, the investigation is conducted based on the stepwise methodology which is comprised of three steps: research questions formulation, related studies collection, and analysis of the extracted studies. The findings revealed four interrelated elements that are necessary to be considered to obtain an effective RP process for requirements selection. Also, the usage description of each specified element was precisely elaborated. Such investigation can be used as guide for assisting the researchers and practitioners in attaining an effective RP process. Proposing a new technique is recommended with considering the identified elements for obtaining an effective RP for requirements selection.","PeriodicalId":193240,"journal":{"name":"2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129200135","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: 3

Person Detection for Social Distancing and Safety Violation Alert based on Segmented ROI 基于分割ROI的社交距离人检测与安全违规预警

2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSCE50387.2020.9204934

Afiq Harith Ahamad, N. Zaini, M. Latip

{"title":"Person Detection for Social Distancing and Safety Violation Alert based on Segmented ROI","authors":"Afiq Harith Ahamad, N. Zaini, M. Latip","doi":"10.1109/ICCSCE50387.2020.9204934","DOIUrl":"https://doi.org/10.1109/ICCSCE50387.2020.9204934","url":null,"abstract":"In addressing the worldwide Covid-19 pandemic situation, the process of flattening the curve for coronavirus cases will be difficult if the citizens do not take action to prevent the spread of the virus. One of the most important practices in these outbreaks is to ensure a safe distance between people in public. This paper presents the detection of people with social distance monitoring as a precautionary measure in reducing physical contact between people. This study focuses on detecting people in areas of interest using the MobileNet Single Shot Multibox Detector (SSD) object tracking model and OpenCV library for image processing. The distance will be computed between the persons detected in the captured footage and then compared to a fixed pixels’ values. The distance is measured between the central points and the overlapping boundary between persons in the segmented tracking area. With the detection of unsafe distances between people, alerts or warnings can be issued to keep the distance safe. In addition to social distance measure, another key feature of the system is detecting the presence of people in restricted areas, which can also be used to trigger warnings. Some analysis has been performed to test the effectiveness of the program for both purposes. From the results obtained, the distance tracking system achieved between 56.5% to 68% accuracy for testing performed on outdoor and challenging input videos, while 100% accuracy was achieved for the controlled environment on indoor testing. Whereas for the safety violation alert feature based on segmented ROI, it was found to have achieved better accuracy, i.e. between 95.8% to 100% for all tested input videos.","PeriodicalId":193240,"journal":{"name":"2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131712631","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: 47

JomDesignLab: Bringing Artwork Design Nearer JomDesignLab:拉近艺术设计的距离

2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSCE50387.2020.9204919

K. M. Liow, P. S. JosephNg, Y. F. Loh

引用次数: 3

Fault Detection Method Using ANN for Power Transmission Line 基于神经网络的输电线路故障检测方法

2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSCE50387.2020.9204921

N. A. M. Leh, Fatihah Mohd Zain, Z. Muhammad, S. A. Hamid, A. D. Rosli

{"title":"Fault Detection Method Using ANN for Power Transmission Line","authors":"N. A. M. Leh, Fatihah Mohd Zain, Z. Muhammad, S. A. Hamid, A. D. Rosli","doi":"10.1109/ICCSCE50387.2020.9204921","DOIUrl":"https://doi.org/10.1109/ICCSCE50387.2020.9204921","url":null,"abstract":"Electric power transmission line is an important medium to supply the electric power continuously. However, the exposed environment of transmission line leads to the presence of faults. Therefore, this paper presented a method to overcome the problem in order to improve the quality of power system. The objective was to provide an accurate method for fault detection and to classify the fault that occurs in power transmission line using Artificial Neural Network (ANN). 14-bus system has been tested through MATLAB programming to create the fault using impedance technique. After carrying out the fault simulation, the result of faulty voltage and current was taken as an input to the neural network. The study implemented feed-forward ANN with backpropagation algorithm to develop the fault detection and classification. The performance of the detection and classification is measured using the Mean Square Error (MSE), linear regression and confusion matrix. The detection achieved a tolerable MSE of 5.5614e-8, a correlation of 1 and an accuracy of 100% proving the satisfactory performance of the system. While the classification achieved a tolerable MSE of 0.43699, a correlation of 0.83955 and an accuracy of 70% showing that the performance of the system is acceptable.","PeriodicalId":193240,"journal":{"name":"2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130908280","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: 14

IoT based Low Cost Distributed Air Quality Monitoring System for Big Data Collection 基于物联网的低成本分布式大数据采集空气质量监测系统

2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSCE50387.2020.9204954

Chee Hoo Kok, Mohd Azlan, Soon Ee Ong

{"title":"IoT based Low Cost Distributed Air Quality Monitoring System for Big Data Collection","authors":"Chee Hoo Kok, Mohd Azlan, Soon Ee Ong","doi":"10.1109/ICCSCE50387.2020.9204954","DOIUrl":"https://doi.org/10.1109/ICCSCE50387.2020.9204954","url":null,"abstract":"The resolution and accuracy of the data is a major challenge during data collection for air quality related research. In Malaysia, each monitoring station is located very far from each other causing the resolution of data to be considerably low. In this paper, we proposed a framework of Distributed Air Quality Monitoring System (DAQMS) which utilizes the full benefits of Internet of Things (IoT) for a better area coverage for data collection. We implemented the mobile hardware device by interfacing ESP32 microcontroller with multiple sensors at a much lower cost compared to the existing immobile air quality monitoring stations. The data are continuously being streamed to our cloud server and is ready to be queried for research purpose. Users can also view the latest air-quality indicators via the web-based dashboard application. Finally, we discussed on the future planning to further improve the data accuracy and user’s experience. Our proposed framework does not only help in resolving the issue of data granularity but also helps in raising the awareness of air pollution among the general public.","PeriodicalId":193240,"journal":{"name":"2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125758837","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: 2

IoT based Water Quality Monitoring System and Evaluation 基于物联网的水质监测系统与评价

2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSCE50387.2020.9204931

Shabinar Abdul Hamid, Ahmad Mustaqim Abdu Rahim, Solahuddin Yusuf Fadhlullah, S. Abdullah, Z. Muhammad, N. A. M. Leh

引用次数: 9

Thermal Sensor based Human Presence Detection for Smart Home Application 基于热传感器的人的存在检测在智能家居中的应用

2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSCE50387.2020.9204940

Fuh Kee Chuah, S. S. Teoh

{"title":"Thermal Sensor based Human Presence Detection for Smart Home Application","authors":"Fuh Kee Chuah, S. S. Teoh","doi":"10.1109/ICCSCE50387.2020.9204940","DOIUrl":"https://doi.org/10.1109/ICCSCE50387.2020.9204940","url":null,"abstract":"Electrical appliances are one of the most important necessities in the modern world. With the advancement of technologies, modern electrical appliances can accomplish various tasks effectively for the convenient and comfort of human life. However, with the increase in the number of household appliances since the past few decades, the demand for residential electrical energy has consistently in the increasing trend. To prevent energy wastage, it is desirable to have a smart control system that can automatically turn off the appliances that are not in use. In this paper, an intelligent electrical appliance control system is proposed to control the switching of household appliances based on the detection of human presence. Instead of using a pyroelectric (PIR) sensor which is commonly used for human motion detection, this system uses a thermal sensor which is also able to detect stationary human and provide accurate location of human in the detection area. A calibration method is introduced to determine the proper temperature threshold for effective human detection. In the proposed system, the detection area of the sensor is divided into several sections. Based on the human detection result, the switching of the appliances in each section can be individually controlled. Test on the implemented prototype showed that the proposed system is able to detect human presence in different sections of the monitored area and control the switching of the electrical appliances. The system is thus has the potential to prevent wastage of electrical energy by automatically turning off the unnecessary appliances such as lighting or fans when human is not presence.","PeriodicalId":193240,"journal":{"name":"2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128835025","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: 5

An Illumination System based on Indirect Ophthalmoscopy for Retinal Imaging Photoplethysmography Assessment 基于间接检眼镜的视网膜成像光体积脉搏波评估照明系统

2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2020-08-01 DOI: 10.1109/ICCSCE50387.2020.9204943

Harnani Hassan, F. Saad, Muhamad Syakir Abd Manaf

{"title":"An Illumination System based on Indirect Ophthalmoscopy for Retinal Imaging Photoplethysmography Assessment","authors":"Harnani Hassan, F. Saad, Muhamad Syakir Abd Manaf","doi":"10.1109/ICCSCE50387.2020.9204943","DOIUrl":"https://doi.org/10.1109/ICCSCE50387.2020.9204943","url":null,"abstract":"This paper presents an illumination system based on indirect ophthalmoscopy for smartphone ophthalmoscope to support retinal imaging photoplethysmography (iPPG) assessment. An experimental demonstration is carried out to measure the light source profile of smartphones and portable fundus camera. An illumination system: i) external illumination system of a smartphone with two lens arrangement and ii) internal illumination system of the eye. The illumination systems are demonstrated using Pre-designer and Winlens 3D open-source software. The outcome of experimental work shows that the smartphone exhibited a similar light source spectrum as a fundus camera with slightly high-power intensity. The illumination systems showed a good convergence of spot diagram at the centre of a FOV with a fair resolution of the Gaussian beam. The quality of the produced image depends on the choice of lens, lens arrangement, desired stopper distance, and focal length setting. The outcomes are essential to implement a high coverage fundus image of a smartphone ophthalmoscope prototype that increases its screening reliability.","PeriodicalId":193240,"journal":{"name":"2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124282890","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