IECE Transactions on Sensing, Communication, and Control

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

Review Article | 29 October 2024

Synergistic UAV Motion: A Comprehensive Review on Advancing Multi-Agent Coordination

by

Ghulam E Mustafa Abro

,

Zain Anwar Ali

,

Rana Javed Masood

IECE Transactions on Sensing, Communication, and Control | Volume 1, Issue 2: 72-88, 2024 | DOI:10.62762/TSCC.2024.211408

Abstract

Collective motion has been a pivotal area of research, especially due to its substantial importance in Unmanned Aerial Vehicle (UAV) systems for several purposes, including path planning, formation control, and trajectory tracking. UAVs significantly enhance coordination, flexibility, and operational efficiency in practical applications such as search-and-rescue operations, environmental monitoring, and smart city construction. Notwithstanding the progress in UAV technology, significant problems persist, especially in attaining dependable and effective coordination in intricate, dynamic, and unexpected settings. This study offers a comprehensive examination of the fundamental principles, mod... More >

Graphical Abstract

Synergistic UAV Motion: A Comprehensive Review on Advancing Multi-Agent Coordination

Research Article | 25 October 2024

Spatio-temporal Feature Soft Correlation Concatenation Aggregation Structure for Video Action Recognition Networks

by

Fafa Wang

,

Shenglun Yi

IECE Transactions on Sensing, Communication, and Control | Volume 1, Issue 1: 60-71, 2024 | DOI:10.62762/TSCC.2024.212751

Abstract

The efficient extraction and fusion of video features to accurately identify complex and similar actions has consistently remained a significant research endeavor in the field of video action recognition. While adept at feature extraction, prevailing methodologies for video action recognition frequently exhibit suboptimal performance in the context of complex scenes and similar actions. This shortcoming arises primarily from their reliance on uni-dimensional feature extraction, thereby overlooking the interrelations among features and the significance of multi-dimensional fusion. To address this issue, this paper introduces an innovative framework predicated upon a soft correlation strategy... More >

Graphical Abstract

Spatio-temporal Feature Soft Correlation Concatenation Aggregation Structure for Video Action Recognition Networks

Research Article | 21 October 2024

RF Planning And Optimization Of 5G On The City Campus (MUST) of Mirpur, Pakistan

by

Adnan Khokher

,

Bilal Mushtaq

,

Muhammad Abdul Rehman

,

Muhamamd Jamshed Abbas

IECE Transactions on Sensing, Communication, and Control | Volume 1, Issue 1: 52-59, 2024 | DOI:10.62762/TSCC.2024.670663

Abstract

As we know, the world is rapidly moving towards 5G and B5G technology to achieve high data rates, massive communication capacity, connectivity, and low latency. 5G offers a latency of less than 1 ms and extremely high data volume compared to previous technologies. The main challenge is the complex nature of 5G network deployment, especially at high frequencies (3–300 GHz) on a university campus with varied building structures. In this paper, we will discuss a scenario for deploying 5G at the Mirpur University of Science and Technology (MUST) in Mirpur, Pakistan so that telecom operators and vendors who wish to deploy a 5G network on the campus in the future can draw on our research finding... More >

Graphical Abstract

RF Planning And Optimization Of 5G On The City Campus (MUST) of Mirpur, Pakistan

Review Article | 15 October 2024

Recommender System: A Comprehensive Overview of Technical Challenges and Social Implications

by

Yiquan An

,

Yingxin Tan

,

Xi Sun

,

Giovannipaolo Ferrari

IECE Transactions on Sensing, Communication, and Control | Volume 1, Issue 1: 30-51, 2024 | DOI:10.62762/TSCC.2024.898503

Abstract

The proliferation of Recommender Systems (RecSys), driven by their expanding application domains, explosive data growth, and exponential advancements in computing capabilities, has cultivated a dynamic and evolving research landscape. This paper comprehensively reviews the foundational concepts, methodologies, and challenges associated with RecSys from technological and social scientific lenses. Initially, it categorizes personalized RecSys technical solutions into five paradigms: collaborative filtering, scenario-aware, knowledge & data co-driven approaches, large language models, and hybrid models integrating diverse data sources. Subsequently, the paper analyses the key challenges and fut... More >

Graphical Abstract

Recommender System: A Comprehensive Overview of Technical Challenges and Social Implications

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

Open Access | Editorial | 08 October 2024

Sensing, Communication, and Control: A New Transactions

by

Xuebo Jin

IECE Transactions on Sensing, Communication, and Control | Volume 1, Issue 1: 1-2, 2024 | DOI:10.62762/TSCC.2024.287867

Abstract

On behalf of the Editorial Board, I am very pleased to announce the launch of our new transactions, IECE Transitions on Sensing, Communication, and Control. This publication aims to serve as a premier platform for researchers, engineers, and scholars to share cutting-edge discoveries, methodologies, and applications in the rapidly evolving fields of sensing, communication, and control. More >

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