IECE - Institute of Emerging and Computer Engineers

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    • quan.zhu@uwe.ac.uk
    Academic Editor
    Contributions by role
    Editor 5
    ORCID
    0000-0001-8173-1179
    Quanmin Zhu
    University of the West of England, United Kingdom
    Summary
    Edited Journals
    IECE Transactions on Intelligent Systematics
    IECE Transactions on Sensing, Communication, and Control
    IECE Contributions
    Articles
    0
    Edited
    5
    Free Access | Review Article | 21 October 2024
    Transforming Industry 4.0 Security: Analysis of ABE and ABA Technologies
    by
    Jibran Saleem
    ,
    Umar Raza
    ,
    William Holderbaum
    IECE Transactions on Intelligent Systematics | Volume 1, Issue 3: 116-133, 2024 | DOI:10.62762/TIS.2024.993235
    Abstract
    The sharing of data and private information has been greatly improved by Industry 4.0's broad usage of cloud technologies. In their quest to improve their services, many firms have made automation and effective authentication a priority. As a result, in Industry 4.0, Attribute-Based Encryption (ABE) and Attribute-Based Authentication (ABA) have established themselves as dependable models for data sharing across cloud environments. For difficult situations like fine-grained access control and secure authentication, these models offer practical answers. Organizations can utilize ABA to specifically authenticate people based on their attributes, ensuring appropriate and safe access to critical... More >
    Graphical Abstract
    Transforming Industry 4.0 Security: Analysis of ABE and ABA Technologies
    Free Access | Research Article | 29 September 2024
    Investigation on the Mechanism of Nebulized Droplet Particle Size Impact in Precision Plant Protection
    by
    Hui Ma
    ,
    Jiajia Tang
    ,
    Huimin Lv
    ,
    Wenyan Chu
    ,
    Shengdi Sun
    IECE Transactions on Intelligent Systematics | Volume 1, Issue 2: 91-100, 2024 | DOI:10.62762/TIS.2024.307219
    Abstract
    Precision plant protection, a crucial facet of precision agriculture, assumes a paramount role throughout diverse stages of agricultural pesticide utilization. It not only furnishes indispensable reference parameters for agricultural production but also minimizes the employment of pesticides and their environmental footprint. This investigation employs a laser particle size analyzer to gauge the particle size information of the atomization field under assorted conditions, commencing with ground plant protection. The findings reveal that particle size escalates with the ascent of spray pressure and spray angle while diminishing with their augmentation. It proposes that pressure adjustments ca... More >
    Graphical Abstract
    Investigation on the Mechanism of Nebulized Droplet Particle Size Impact in Precision Plant Protection
    Free Access | Research Article | 27 September 2024
    Long-term Traffic Flow Prediction using Stochastic Configuration Networks for Smart Cities
    by
    Yuqi Lin
    IECE Transactions on Intelligent Systematics | Volume 1, Issue 2: 68-79, 2024 | DOI:10.62762/TIS.2024.952592
    Abstract
    Accurate predictions of traffic flow are very meaningful to city managers. With such information, traffic systems can better coordinate traffic signals and reduce congestion. By understanding traffic patterns, navigation systems can provide real-time routing suggestions that avoid traffic jams, save time, and reduce fuel consumption. However, traffic flow will be interfered with by multiple factors such as collection time and place. In this paper, we propose to use stochastic configuration networks (SCNs) to predict the traffic flow. The network is trained through stepwise construction, and the network parameters are effectively optimized based on the approximation theorem and convergence an... More >
    Graphical Abstract
    Long-term Traffic Flow Prediction using Stochastic Configuration Networks for Smart Cities
    Free Access | Review Article | 12 October 2024
    Innovations in 3D Object Detection: A Comprehensive Review of Methods, Sensor Fusion, and Future Directions
    by
    Ghulam E Mustafa Abro
    ,
    Zain Anwar Ali
    ,
    Summaiya Rajput
    IECE Transactions on Sensing, Communication, and Control | Volume 1, Issue 1: 3-29, 2024 | DOI:10.62762/TSCC.2024.989358
    Abstract
    This review paper offers a thorough assessment of three-dimensional object recognition methods, an essential element in the perception frameworks of autonomous systems. This analysis emphasises the integration of LiDAR and camera sensors, providing a distinctive contrast with more economical alternatives like camera-only or camera-Radar combinations. This study objectively evaluates performance and practical implementation issues, such as cost and operational efficiency, thereby elucidating the limitations of existing systems and proposing avenues for further research. The insights provided render it a significant asset for enhancing 3D object recognition and autonomy in intelligent systems. More >
    Graphical Abstract
    Innovations in 3D Object Detection: A Comprehensive Review of Methods, Sensor Fusion, and Future Directions
    Free Access | Research Article | 23 September 2024
    Signal Strength-Based Alien Drone Detection and Containment in Indoor UAV Swarm Simulations
    by
    Ghulam E Mustafa Abro
    ,
    Zain Anwar Ali
    ,
    Ayman M Abdallah
    IECE Transactions on Intelligent Systematics | Volume 1, Issue 2: 58-67, 2024 | DOI:10.62762/TIS.2024.807714
    Abstract
    A Novel simulation framework using self-governing drones is used to locate and reduce unauthorized drones in interior environments. The recommended method uses Received Signal Strength Indicator (RSSI) to identify an alien agent drone, which has different signal characteristics than the approved swarm of UAVs. Real-time threat detection is possible with this technology. After detecting the drone, the swarm organizes itself to encircle and besiege it for 10 seconds, making it inert before returning to their original positions. This unique solution uses RSSI to quickly identify and mitigate enclosed area concerns. It provides a reliable and effective indoor drone security solution. The simulat... More >
    Graphical Abstract
    Signal Strength-Based Alien Drone Detection and Containment in Indoor UAV Swarm Simulations