2022 IEEE 10th Conference on Systems, Process & Control (ICSPC)最新文献

Feasibility Study of Wind Power Generation System Using Small Scale Wind Turbines 小型风力发电系统的可行性研究

2022 IEEE 10th Conference on Systems, Process & Control (ICSPC) Pub Date : 2022-12-17 DOI: 10.1109/ICSPC55597.2022.10001785

Wan Mohammad Amirul Bin Mohd Adnan, Anees Bt Abdul Aziz, L. Raya

引用次数: 0

A Model for Collaboration Tool Adoption in Distributed Project Team 分布式项目团队中协作工具采用模型

2022 IEEE 10th Conference on Systems, Process & Control (ICSPC) Pub Date : 2022-12-17 DOI: 10.1109/ICSPC55597.2022.10001815

Zurida Ishak, R. A. Abbas, Vitiyataran A-L T M Karunanithi

{"title":"A Model for Collaboration Tool Adoption in Distributed Project Team","authors":"Zurida Ishak, R. A. Abbas, Vitiyataran A-L T M Karunanithi","doi":"10.1109/ICSPC55597.2022.10001815","DOIUrl":"https://doi.org/10.1109/ICSPC55597.2022.10001815","url":null,"abstract":"The motivation of this research is to inspect the factors and the impact of adaptation for collaboration tools and introduce a model that facilitates the process of selecting the right collaboration tools based on the challenges the team is trying to bridge in private Information Technology (IT) firms. To achieve the objectives of this study, the researchers used a descriptive-analytical method by developing a questionnaire and data collection from the survey. A comprehensive survey was adopted, and the participants in the study were selected employees from private IT companies in Johor Bahru, Malaysia, who were randomly selected using a convenience sampling technique. Both sample selection and survey distribution have been made online owing to a strict Movement Control Order (MCO). This study addresses and supports H1, H2, and H5. Therefore, communication and task coordination are the factors facilitating the distributed project teams to adopt and use various collaboration tools. In addition, task characteristics might change the use of different or multiple tools for communication. This research is based on the analysis of collaboration tools, and the results are a model of the aspects influencing the distributed teams to adopt the best selection of collaboration tools in the category of communication and coordination tools.","PeriodicalId":334831,"journal":{"name":"2022 IEEE 10th Conference on Systems, Process & Control (ICSPC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116856026","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: 1

Yaw Motion Analysis of Single-Trailer Truck Using Yaw Amplification Factor (YAF) 基于偏航放大系数(YAF)的单挂车偏航运动分析

2022 IEEE 10th Conference on Systems, Process & Control (ICSPC) Pub Date : 2022-12-17 DOI: 10.1109/ICSPC55597.2022.10001798

Zulkiffli Abd Kadir, Mohamad Huzairi Mohamad Yusri, Amrina Rasyada Zubir, K. Hudha, N. H. Amer, Nur Akmal Haniffah

{"title":"Yaw Motion Analysis of Single-Trailer Truck Using Yaw Amplification Factor (YAF)","authors":"Zulkiffli Abd Kadir, Mohamad Huzairi Mohamad Yusri, Amrina Rasyada Zubir, K. Hudha, N. H. Amer, Nur Akmal Haniffah","doi":"10.1109/ICSPC55597.2022.10001798","DOIUrl":"https://doi.org/10.1109/ICSPC55597.2022.10001798","url":null,"abstract":"This study investigates a yaw motion analysis of single trailer-truck using yaw amplification factor (YAF) approach. Unwanted yaw motion in single-trailer truck can cause instability of the truck vehicle and resulting road accident such as knife-jacking. This study focused on applying brake pressure to predict the jack-knife accident. The trailer truck was tested at 100 km/h while applying various brake pressures at 0.5 MPa, 1.0 MPa, 1.5 MPa, 2.0 MPa and 2.5 MPa during single lane change and double lane change using TruckSim software. Yaw Amplification Factor (YAF) was used to analyse the yaw movement in the single-trailer truck. The indicator of yaw amplification factor to predict jack-knifing which is related to unwanted yaw motion of a truck was implemented in this study to the potential accident analysis. This study showed that jack-knife accident happened when travelling at 100 km/h when applying the brake pressures of 1.5 MPa and 2.5 MPa for single lane change manoeuvre. Similarly, jack-knife accident also happened when travelling at 100 km/h for double lane change manoeuvre with brake pressures of 1.5 MPa, 2.0 MPa and 2.5 MPa. These findings are based on Cm indicator to predict jack-knife accident.","PeriodicalId":334831,"journal":{"name":"2022 IEEE 10th Conference on Systems, Process & Control (ICSPC)","volume":"41 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114104256","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

End-Product of Solar-Sharing Smart Lighting Artificial Intelligence Driven Platform for High-Valued Crops (Lactuca Sativa) on Indoor Hydroponics Syste 室内水培系统高价值作物太阳能共享智能照明人工智能驱动平台终端产品

2022 IEEE 10th Conference on Systems, Process & Control (ICSPC) Pub Date : 2022-12-17 DOI: 10.1109/ICSPC55597.2022.10001821

Myrtel S. Bernardo, Arnel C. Fajardo, R. Medina

{"title":"End-Product of Solar-Sharing Smart Lighting Artificial Intelligence Driven Platform for High-Valued Crops (Lactuca Sativa) on Indoor Hydroponics Syste","authors":"Myrtel S. Bernardo, Arnel C. Fajardo, R. Medina","doi":"10.1109/ICSPC55597.2022.10001821","DOIUrl":"https://doi.org/10.1109/ICSPC55597.2022.10001821","url":null,"abstract":"The solar-sharing smart lighting system Artificial Intelligence (AI) that automatically adjusts the LED lighting appropriate for indoor vertical farming specifically on high-valued crops tested on lettuce (Lactuca sativa). The concept of this study is to make a smart lighting system more economical using Arduino and power-efficient by using renewable energy like solar power and to address the Sustainable Development Goals regarding Food Security. This study aims to investigate the effects of light treatments on the growth performance in terms of weekly plant height under varying lighting control. Hence, smart LED lighting will be developed to automatically adjust the light intensity needed by the plants to grow indoor using a hydroponics system by means of Arduino and using the Internet of Things (IoT). The experimental setup consists of three treatments: (A) smart lighting, (B) smart lighting with manual setting, and (C) smart lighting with IoT settings. Additionally, it offers the light required for photosynthesis at various phases of growth. The entire system is controlled by a microcontroller, which decides when to turn on and off the LEDs and adjusts their brightness in accordance with the amount of sunlight. The system was implemented successfully, and growth performance improved.","PeriodicalId":334831,"journal":{"name":"2022 IEEE 10th Conference on Systems, Process & Control (ICSPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134126441","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 Novel Triple Radar Arrangement for Level 2 ADAS Detection System in Autonomous Vehicles 自动驾驶汽车2级ADAS检测系统的新型三雷达布局

2022 IEEE 10th Conference on Systems, Process & Control (ICSPC) Pub Date : 2022-12-17 DOI: 10.1109/ICSPC55597.2022.10001787

Javad Enayati, Yeshwanth Jonnalagadda, Pedram Asef

{"title":"A Novel Triple Radar Arrangement for Level 2 ADAS Detection System in Autonomous Vehicles","authors":"Javad Enayati, Yeshwanth Jonnalagadda, Pedram Asef","doi":"10.1109/ICSPC55597.2022.10001787","DOIUrl":"https://doi.org/10.1109/ICSPC55597.2022.10001787","url":null,"abstract":"The main functions of automated systems rely on advanced sensors for the detection and perception of the environment around the vehicle. Radars and cameras are commonly utilized to detect potential obstacles and vehicles ahead on the road. Nevertheless, cameras can generate spurious detections in extreme weather conditions, such as fog, rain, dust, snow, dark, and heavy sunlight in the sky. Due to limitations in the vertical field view of the radars, single radars are not reliable to detect the height of the targets precisely. In this paper, an innovative triple radar arrangement (long-range, medium-range, and short-range radars) with a sensor fusion technique is proposed to detect objects of different sizes in the level 2 Advanced Driver-Assistance (ADAS) system. The typical objects including trucks, pedestrians, and animals are detected in different scenarios. The developed model considered ISO 26262 and ISO/PAS 21448 to reasonably address insufficient robustness and the inability of the sensors. The models of sensor and level 2 ADAS systems are developed using MATLAB toolbox and Simulink. Sensor detection performance is determined by running simulations with a triple radar setup. Obtained results demonstrate that the proposed approach generates accurate detections of targets in all tested scenarios.","PeriodicalId":334831,"journal":{"name":"2022 IEEE 10th Conference on Systems, Process & Control (ICSPC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134214575","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 Development of an IoT Contactless Door Buzzer, Automation and Home Security Device 物联网非接触式门蜂鸣器、自动化和家庭安全设备的设计与开发

2022 IEEE 10th Conference on Systems, Process & Control (ICSPC) Pub Date : 2022-12-17 DOI: 10.1109/ICSPC55597.2022.10001769

Safaa N. Saud Al-Humairi, Khisharn A-L Selvamani, L. Raya

{"title":"Design and Development of an IoT Contactless Door Buzzer, Automation and Home Security Device","authors":"Safaa N. Saud Al-Humairi, Khisharn A-L Selvamani, L. Raya","doi":"10.1109/ICSPC55597.2022.10001769","DOIUrl":"https://doi.org/10.1109/ICSPC55597.2022.10001769","url":null,"abstract":"Home security is a vital element of home computerization and perhaps the most significant matter in the current era of technology. This paper presents a conceptual design and development of an IoT contactless door buzzer, automation and home security device using a Raspberry Pi microprocessor and mechanical system embedded with a home security camera. Therefore, the main objective of our work is to design a system which can alert the user and others of an intruder break-in by sending a notification to their smartphones. The owner will also have the ability to stop or start the alarm remotely using just his smartphone. The proposed system aims to assist blind and visually impaired people in unlocking their house’s main door without using a manual key but by scanning the person's face through face recognition technology. A pi camera is connected directly to the Raspberry Pi. A relay controls the circuit to switch high current, on/off and electrically isolated signals, while the ultrasonic sensor is object detection in front of the door. A mobile application is developed for the user to control the device. An alert will be sent to the user if a thief breaks into the door without the owner’s consent for them to take necessary precautionary measures.","PeriodicalId":334831,"journal":{"name":"2022 IEEE 10th Conference on Systems, Process & Control (ICSPC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124528887","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: 1

Modelling of Cupping Suction System based on System Identification Method 基于系统辨识法的拔罐抽吸系统建模

2022 IEEE 10th Conference on Systems, Process & Control (ICSPC) Pub Date : 2022-12-17 DOI: 10.1109/ICSPC55597.2022.10001786

Kavindran Suresh, M. R. Ghazali, Mohd Ashraf Ahmad

引用次数: 0

A Review of Commonly used Machine Learning Classifiers in Heart Disease Prediction 心脏疾病预测常用机器学习分类器综述

2022 IEEE 10th Conference on Systems, Process & Control (ICSPC) Pub Date : 2022-12-17 DOI: 10.1109/ICSPC55597.2022.10001742

Alimul Mahfuz Tushar, A. Wazed, Ehsanuzzaman Shawon, Muntasir Rahman, Md. Ismail Hossen, M. Z. H. Jesmeen

引用次数: 2

Crime Scene Prediction Using the Integration of K-Means Clustering and Support Vector Machine 基于k均值聚类和支持向量机的犯罪现场预测

2022 IEEE 10th Conference on Systems, Process & Control (ICSPC) Pub Date : 2022-12-17 DOI: 10.1109/ICSPC55597.2022.10001768

Awangku Harraz Aiman Awangku Bolkiah, Hafizatul Hanin Hamzah, Z. Ibrahim, N. Diah, Azizian Mohd Sapawi, H. M. Hanum

{"title":"Crime Scene Prediction Using the Integration of K-Means Clustering and Support Vector Machine","authors":"Awangku Harraz Aiman Awangku Bolkiah, Hafizatul Hanin Hamzah, Z. Ibrahim, N. Diah, Azizian Mohd Sapawi, H. M. Hanum","doi":"10.1109/ICSPC55597.2022.10001768","DOIUrl":"https://doi.org/10.1109/ICSPC55597.2022.10001768","url":null,"abstract":"An increasing crime rate among urban residents has become a major concern over the last decade. Prevention can be done with advanced prediction based on criminal activities and locations. A publicly available dataset from kaggle.com was used in this research, consisting of 500 records of information, such as the coordinates of the crime locations and the types of crimes. An unsupervised machine learning algorithm, K-Means Clustering, is applied to group the data based on the locations of the reported crimes. Then, Support Vector Machine, a supervised machine learning algorithm, is applied to predict the potential crime locations. Thus, law enforcement agencies can make strategic plans and deploy their units to the predicted crime scenes, decreasing the chances of crimes being committed. Even though the integration of K-Means Clustering and Support Vector Machine for crime scene prediction only shows 0.65 accuracies, improvements can still be made for future work with larger datasets and integrating other machine learning algorithms.","PeriodicalId":334831,"journal":{"name":"2022 IEEE 10th Conference on Systems, Process & Control (ICSPC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125908395","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

Soft Exoskeleton for Hand Rehabilitation: An Overview 软性外骨骼用于手部康复:综述

2022 IEEE 10th Conference on Systems, Process & Control (ICSPC) Pub Date : 2022-12-17 DOI: 10.1109/ICSPC55597.2022.10001823

Z. Zyada, Khaled Alharbi, Mohamed A. Omar

引用次数: 0