IECE - Institute of Emerging and Computer Engineers

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    Academic Editor
    Author
    Contributions by role
    Author 1
    Reviewer 21
    Editor 23
    Membership
    ORCID
    0000-0001-6234-1001
    Jinchao Chen
    School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China
    Summary
    Dr. Jinchao Chen is an Associate Professor in School of Computer Science at Northwestern Polytechnical University, Xi’an, China. He has received his Ph.D. degree in Computer Science from the same institution in 2016. He focuses on the multi-processor scheduling, embedded and real-time systems, simulation and verification, decision-making and intelligent control of unmanned aerial vehicles, human-computer interaction systems. He has over 50 papers and 4 ESI highly-cited papers published in international conferences and journals (e.g., IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Industrial Electronics, IEEE Transactions on Cybernetics, IEEE Real-Time Systems Symposium). He is the Editor-in-Chief of ASP Transactions on Computers and ASP Transactions on Computers, and the Academic Editor of International Journal of Aerospace Engineering. He is a TCP member of many conferences and regular reviewer of IEEE Transactions on Industrial Informatics, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Transportation Electrification, IEEE Transactions on Vehicular Technology, and Concurrency and Computation Practice and Experience. He is a member of IEEE and CCF.
    Edited Journals
    IECE Transactions on Internet of Things
    IECE Transactions on Intelligent Unmanned Systems
    IECE Transactions on Computer Science
    IECE Contributions
    Articles
    1
    Edited
    23
    Free Access | Research Article | 19 November 2024
    IoT-based Smart Home Automation Using Gesture Control and Machine Learning for Individuals with Auditory Challenges
    by
    Baleegha Fatima
    ,
    Bilal Mushtaq
    ,
    Muhammad Ammar Iqbal
    ,
    Abbas Ahmed
    IECE Transactions on Internet of Things | Volume 2, Issue 4: 74-82, 2024 | DOI:10.62762/TIOT.2024.723193
    Abstract
    This paper reviews advancements in assistive technology for deaf and hard of hearing individuals, highlighting the Internet of Things' (IoTs) pivotal role in enhancing their daily lives. Despite progress in sign language technologies, communication barriers persist. To address these gaps, we developed a video-based American Sign Language (ASL) identification system. Our approach utilizes MediaPipe for hand tracking, OpenCV for image normalization, and Gesture Control Convolutional Neural Network (CNN) for gesture localization. Implemented in Python, the system records video streams, filters hand regions, and recognizes ASL letter gestures with high accuracy. Leveraging computer vision and ma... More >
    Graphical Abstract
    IoT-based Smart Home Automation Using Gesture Control and Machine Learning for Individuals with Auditory Challenges
    Free Access | Research Article | 23 October 2024
    The Impact of Supply Chain Finance on Integrated Business Performance of New Energy Vehicle Enterprises
    by
    Chunsheng Wang
    ,
    Shuyan Zhou
    ,
    Jing Ye
    ,
    Haohan Hu
    ,
    Xuetong Wu
    ,
    Zhangcai He
    ,
    Hong Ding
    IECE Transactions on Internet of Things | Volume 2, Issue 4: 63-73, 2024 | DOI:10.62762/TIOT.2024.262824
    Abstract
    With the rapid development of the new energy vehicle (NEV) industry, supply chain finance (SCF) has become one of the key factors promoting the prosperity of this industry. Based on in total 884 samples, this study investigates the impact of SCF on the integrated business performance of NEV enterprises. Through empirical analysis, it is confirmed that SCF significantly and positively affects the integrated business performance. In addition, the results of the mediation effect test indicate that by alleviating financing constraints of small and medium-sized enterprises, SCF enables the improvement of firms' overall business performance. These findings provide new insights to NEV enterprises'... More >
    Graphical Abstract
    The Impact of Supply Chain Finance on Integrated Business Performance of New Energy Vehicle Enterprises
    Free Access | Research Article | 22 September 2024
    An Event-Triggered Energy-Efficient Wireless Routing Protocol for Fault Monitoring of Wind Turbines
    by
    Yujiang Li
    ,
    Peng Xu
    ,
    Wenqing Chen
    ,
    Hongli Zhang
    IECE Transactions on Internet of Things | Volume 2, Issue 3: 55-62, 2024 | DOI:10.62762/TIOT.2024.257019
    Abstract
    Monitoring the health condition of wind turbines is crucial to ensure the safety and efficient operation of wind farms. Wireless sensor networks (WSNs) provide an economical and effective solution for such monitoring. However, when sensors detect faults in wind turbines, traditional WSN routing protocols often lead to redundant data transmission, resulting in energy waste. To address this issue, an event-triggered energy-efficient wireless routing protocol (EEWRP) is proposed specifically in this paper for wind turbine fault monitoring. The protocol improves the distributed energy-efficient clustering algorithm (DEEC) by first identifying the type of event and then using an adaptive dynamic... More >
    Graphical Abstract
    An Event-Triggered Energy-Efficient Wireless Routing Protocol for Fault Monitoring of Wind Turbines
    Free Access | Research Article | 23 May 2024
    Machine Learning-Based Prediction of Cardiovascular Diseases
    by
    Weicheng Sun
    ,
    Ping Zhang
    ,
    Zilin Wang
    ,
    Dongxu Li
    IECE Transactions on Internet of Things | Volume 2, Issue 2: 50-54, 2024 | DOI:10.62762/TIOT.2024.128976
    Abstract
    With the rapid development of artificial intelligence, extracting latent information from medical data has become increasingly critical. Cardiovascular disease is now a major threat to human health, being one of the leading causes of mortality. Therefore, developing effective prediction methods for cardiovascular diseases is urgently needed. Current medical approaches primarily focus on disease detection rather than prediction, which limits early intervention. By leveraging computational methods, it is possible to predict cardiovascular disease in advance, enabling timely treatment and potentially reducing the disease’s impact. This study employs machine learning techniques, including Supp... More >
    Graphical Abstract
    Machine Learning-Based Prediction of Cardiovascular Diseases
    Free Access | Research Article | 19 April 2024
    Design of an Intelligent Rehabilitation Medical System for Elderly Care Apartments
    by
    Qinghan Yang
    ,
    Xinke Pan
    ,
    Yuli Guo
    ,
    Hongyue Qu
    IECE Transactions on Internet of Things | Volume 2, Issue 2: 44-49, 2024 | DOI:10.62762/TIOT.2024.256200
    Abstract
    This paper aims to design a rehabilitation medical product system tailored to the needs of future intelligent elderly care environments, with the goal of enhancing the efficiency of rehabilitation training for older adults. Through an in-depth analysis of the anticipated medical needs in elderly care apartments, we propose a comprehensive design concept for a rehabilitation medical product system. The design is approached from three key perspectives: products, services, and systems, ensuring that it aligns with the healthcare requirements specific to elderly care settings. The proposed solutions focus on optimizing rehabilitation training by integrating intelligent technologies and user-cent... More >
    Graphical Abstract
    Design of an Intelligent Rehabilitation Medical System for Elderly Care Apartments
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