IECE - Institute of Emerging and Computer Engineers

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    Academic Editor
    Author
    Contributions by role
    Author 1
    Editor 1
    ORCID
    0000-0003-0030-5691
    Sushil Kumar Singh
    Marwadi University, Rajkot, Gujarat, India
    Summary
    Edited Journals
    IECE Transactions on Sensing, Communication, and Control
    IECE Contributions
    Articles
    1
    Edited
    1
    Free Access | Review Article | 27 November 2024
    Next-Generation Technologies for Secure Future Communication-based Social-Media 3.0 and Smart Environment
    by
    Archana Kurde
    ,
    Sushil Kumar Singh
    IECE Transactions on Sensing, Communication, and Control | Volume 1, Issue 2: 101-125, 2024 | DOI:10.62762/TSCC.2024.322898
    Abstract
    Smart Environment is rapidly growing with the inclusion of Artificial Intelligence of Things (AIoT) when it connects to future communication and social media networks. Security and privacy are significant challenges, including data integrity, account hijacking, cybersecurity, and cyberbullying. To mitigate these challenges, Social Media 3.0 is utilized with advanced emerging technologies such as Blockchain, Federated Learning (FL), and others and offers solutions in existing research. This article comprehensively reviews and proposes Next-Generation Technologies for Secure Future Communication Service Scenario for Smart Environment and Social-Media 3.0. We discuss existing attacks with their... More >
    Graphical Abstract
    Next-Generation Technologies for Secure Future Communication-based Social-Media 3.0 and Smart Environment
    Free Access | Research Article | 30 October 2024
    Enhanced Recognition for Finger Gesture-Based Control in Humanoid Robots Using Inertial Sensors
    by
    Jingyi Xie
    ,
    Na Xiang
    ,
    Shenglun Yi
    IECE Transactions on Sensing, Communication, and Control | Volume 1, Issue 2: 89-100, 2024 | DOI:10.62762/TSCC.2024.805710
    Abstract
    Humanoid robots have much weight in many fields. Their efficient and intuitive control input is critically important and, in many cases, requires remote operation. In this paper, we investigate the potential advantages of inertial sensors as a key element of command signal generation for humanoid robot control systems. The goal is to use inertial sensors to detect precisely when the user is moving which enables precise control commands. The finger gestures are initially captured as signals coming from the inertial sensor. Movement commands are extracted from these signals using filtering and recognition. These commands are subsequently translated into robot movements according to the attitud... More >
    Graphical Abstract
    Enhanced Recognition for Finger Gesture-Based Control in Humanoid Robots Using Inertial Sensors