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Automation and Computation (AUTOCOM), International Conference on

作者： Avni Garg Muktha Eti Srilakshmi K H Dhananjay Kumar Yadav Vaibhav Kaushik Prabhat Ku. Sahu Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India School of Engineering and Technology Electrical and Electronics Engineering JAIN (Deemed to be University) Bangalore Karnataka Department of Electronics and Communication Engineering Presidency University Bangalore Karnataka India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre for Interdisciplinary Research for Business and Technology Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Computer Science and Information Technology Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

The increasing call for electric-powered and hybrid cars has led to the want for greater efficient and durable battery designs. In response, improvements in the battery era have targeted improving cycle sturdiness and versatility in automotive programs. One essential innovation is the use of lithium-ion batteries, which offer higher power density and longer cycle life compared to traditional lead-acid batteries. Inside the realm of lithium-ion batteries, improvements have been made in electrode materials and cell designs. For instance, using silicon-based, total anodes has substantially increased the strength density of lithium-ion batteries, allowing for longer use tiers and improved cycle existence. Additionally, advancements in battery control structures have progressed the potential to reveal and manipulate the charging and discharging of batteries, growing their usual durability and lifespan. This has caused the development of fast-changing technologies that could rate a battery to eighty in only half an hour, making it an extra handy and realistic alternative for electric car proprietors.

关键词： Lithium-ion batteries Technological innovation Power system measurements Density measurement Electrolytes Batteries Safety Automobiles Reliability Standards

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Video Based Car Parking Management and Monitoring Using computer Vision and Machine Learning

Video Based Car Parking Management and Monitoring Using Comp...

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2025 International Conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Sujitha, Bulla Ponraj, Anitha Chakkarapani, V. Parabrahmachari, Sriram Lakshmi, T.V. Hyma Annamani, T. V. R. Siddhartha Engineering College Department of Ece AP Vijayawada India Kalasalingam Academy of Research and Education Kalasalingam University Department of Computer Science and Engineering Tamil Nadu Krishnankoil India School of Electrical and Electronics Sathyabama Institute of Science and Technology Tamil Nadu Chennai India Guru Nanak institutions Department of Cse Technical Campus Telangana Ibrahimpatnam India S.R.K.R. Engineering College Department of Ece A.P Bhimavaram India Anurag University Department of Ece Telangana Hyderabad India

ISBN: (纸本)9798331509828

Each day, countless individuals around the globe are affected by the extensive and complex problem of traffic congestion. This raising challenge is becoming increasingly substantial across the country, driven by factors such as rising population numbers, speedy urban development, insufficient infrastructure, and changing socioeconomic requirements. This paper depicts a novel global video-based parking approach designed to boost the supervising and management of parking spaces using real-time aerial statistics. Utilizing advanced image processing and computer vision procedures, the system essentially detects and examines the occupancy position of parking slots. In our realization, we assessed a total of 48 parking spaces, positively identifying 7 as unused while 41 were occupied. The application of Python, OpenCV, and machine learning assisted real-time monitoring, allowing precise counting and expose of parking availability. The procedure contained critical procedures, including Gaussian blur filtering to minimize noise and improve edge detection, followed by binary thresholding to describe vehicles and parking spots from the background. Furthermore, a median filter was utilized to boost the clarity of vehicle contours. These image enhancement methods significantly expanded detection accuracy and facilitated precise recognition of the Region of Interest (ROI). The results show the system's ability to provide reliable, real-time data for dynamic parking administration, thereby focusing the challenges of urban parking. © 2025 IEEE.

关键词： Traffic congestion

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Research on Lightweight Sensing technology Based on Single-Antenna Multicarrier

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IEEE Internet of Things Journal 2025年

作者： Jiang, Yu Zhu, Di Wang, Jiadong Hu, Aiqun Southeast University School of Cyber Scienc and Engineering Purple Mountain Laboratories Nanjing210096 China Key Laboratory of Computer Network Technology of Jiangsu Province Nanjing210096 China Southeast University Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China Southeast University School of Cyber Science and Engineering Nanjing210096 China Southeast University School of Cyber Science and Engineering School of Information Science and Engineering Nanjing210096 China Southeast University State Key Laboratory of Mobile Communication Nanjing210096 China

Channel State Information (CSI) serves as a critical indicator of wireless signal conditions and is widely regarded by researchers for its sensitivity in detecting changes within the channel. However, traditional sensing technologies often require substantial data and intricate learning algorithms, highlighting an urgent need for advancements in lightweight sensing technologies. These technologies should leverage simpler terminal devices, reduced data volumes, and more straightforward classification algorithms to achieve sensing capability that are comparable to those offered by more complex and established methods. This paper concentrates on the lightweight application of wireless sensing and encompasses the following key contributions: 1) The development of a lightweight sensing model utilizing a single-antenna multicarrier system, which introduces a CSI ratio model that adapts multi-antenna techniques for single-antenna settings;2) The enhancement of feature stability through the introduction of a complex-plane fitting method using artificial vector, alongside a dual receiver based method for cross-scene feature generation aimed at producing stable and high-quality auxiliary features. Experimental results show that the feature extraction capability of the single-antenna multicarrier CSI ratio model is close to that of traditional multi-antenna scheme. On the gait dataset, when the enhanced CSI ratio is used as a feature, the accuracy is nearly 100%, surpassing the 93% accuracy of the original amplitude feature. On the gesture dataset, the combination of the enhanced CSI ratio and PEI features achieves an accuracy of 96%, which is superior to using the original CSI amplitude feature alone. An analysis of resource consumption shows that the lightweight SVM model incurs very low computational overhead during decision-making, validating the potential of this scheme in terms of efficiency and practical application. © 2014 IEEE.

关键词： Communication channels (information theory)

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Understanding Human Balance Strategies Through Clustering of Motion Analysis Data

Understanding Human Balance Strategies Through Clustering of...

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International ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering (ECTI-NCON)

作者： Werapat Lapawong Surapong Uttama Worasak Rueangsirarak Punnarumol Temdee Shanfeng Hu Nauman Aslam Digital Transformation Technology School of Applied Digital Technology Mae Fah Luang University Chiang Rai Thailand Computer and Communication Engineering for Capacity Building Research Center Mae Fah Luang University Chiang Rai Thailand Department of Computer and Information Sciences Northumbria University Newcastle upon Tyne UK

ISBN: (数字)9798331543273

ISBN: (纸本)9798331543280

Balance is the result of complex interactions among individuals, tasks, and the environment. It plays a crucial role in daily activities, relying on sensory systems and joint movement strategies to maintain postural stability. Effective balance not only improves movement and physical activities but also enhances overall quality of life. Balance strategies, such as ankle, hip, knee, and stepping strategies, are essential for maintaining stability in various situations and environments. This study focuses on utilizing public data from the Clinical Test of Sensory Interaction on Balance (CTSIB) to assess balance strategies. Traditional methods rely on subjective observations, limiting the identification of nuanced strategy combinations. To overcome this, motion capture (mocap) data and unsupervised machine learning techniques, clustering and dimensionality. reduction using Agglomerative, Gaussian Mixture, and K-Means and classify balance strategies. The results demonstrate the potential of this approach to identify distinct clusters of balance strategies, offering a more detailed, objective, and comprehensive understanding of postural stability. Among the clustering algorithms applied, K-Means proved to be particularly effective, achieving reliable groupings with consistent results. The Silhouette Scores indicated that k=3, identified as the optimal number of clusters from the elbow test, provided the best balance between cohesion and separation for K-Means. This suggests that K-Means delivers interpretable clusters of balance strategies. The three possible outcomes are good balance, A slight unbalance and a poor balance. This innovative methodology advances the field of balance assessment by providing a clear and systematic approach to classifying balance strategies, allowing for better understanding and targeted interventions.

关键词： Systematics Machine learning algorithms Limiting Stability analysis Motion capture Reliability Object recognition Motion analysis Elbow Hip

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Robust Resource Allocation for Integrated Satellite-Terrestrial Communication Systems With Eavesdroppers

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IEEE Internet of Things Journal 2025年

作者： Zhang, Haibo Dou, Shengting Xu, Yongjun Li, Xingwang Chen, Xiaoming Yang, Liang Li, Lin Henan Polytechnic University School of Physics and Electronic Information Engineering Jiaozuo454000 China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Hunan University College of Computer Science and Electronic Engineering Changsha410082 China Beijing Union University College of Applied Science and Technology Beijing100101 China School of Communications and Information Engineering Chongging University of Posts and Telecommunications Chongqing400065 China

To solve the problems of low system security and poor transmission quality in integrated satellite-terrestrial communication systems due to eavesdroppers and channel uncertainties, a robust resource allocation (RA) problem is studied. Firstly, considering the constraints of users' quality of service, the maximum transmit power of the satellite and the base station, and the bounded channel uncertainties, a RA optimization problem is established by jointly optimizing the beamforming vectors, artificial noise (AN) vectors, and power allocation factors. Then, S-Procedure, successive convex approximation, and alternating optimization are adopted to convert the non-convex problem with parameter perturbation into a convex one that can be solved efficiently. Finally, a robust RA algorithm based on the alternating approach is proposed to obtain the solutions. Simulation results show that the proposed algorithm has good security and robustness, and the outage probability is reduced by 9.12% compared to the traditional non-robust algorithms without AN. © 2014 IEEE.

关键词： Satellite communication systems

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Blockchain technology in Securing E-Health Records: An Intelligent Approach to Data Privacy 1

Blockchain Technology in Securing E-Health Records: An Intel...

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1st International Conference on Intelligent Systems and Computational Networks, ICISCN 2025

作者： Ramesh, Janjhyam Venkata Naga Begum, Sameena Khaydarova, Markhamat Mohapatra, Somanjoli Mary, Suma Christal Saravanakumar, R. Graphic Era Hill University Department of Cse Dehradun India Department of Cse Graphic Era Deemed to Be University Uttarakhand Dehradun India Jazan University College of Arts and Humanities Department of Foreign Languages Saudi Arabia University of Information Technologies Department of Computer Engineering Tashkent Uzbekistan Dr. Apj Abdul Kalam University Indore India Panimalar Engineering College Department of Information Technology Chennai India Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Ece Chennai India

ISBN: (纸本)9798331529246

The advent of digital transformation in healthcare necessitates robust measures to secure electronic health records (EHR) against evolving cyber threats. The paper presents a comprehensive framework leveraging blockchain technology. In the proposed methodology, the use of blockchain, IoT, and wearable devices have been proposed. By using Ethereum as the platform of the blockchain the system checks for the integrity and confidentiality of the data. CNN helps in improving the Anomaly detection of patterns in EHR data, the Isolation Forest helps in the aspect of security of the data. The Proof of Authority (PoA) consensus mechanism elevates identity and reputation for the validation of transactions adding to the system's security. That is why the given results reveal the better performance of the "blockchain-based EHR system"compared to the existing healthcare systems, including Legacy Health Systems and Medicare Solutions that has 15% advantage. The proposed system achieves high efficiency level, with a measured efficiency of 96%. The framework, written in Python, stands for a privacy-friendly approach to HIM, and potential for new revolutionary means of healthcare data organization and patients' data protection. © 2025 IEEE.

关键词： Electronic health record

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Hybrid Optimization for NOMA-Based Transmissive-RIS Mounted UAV Networks

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IEEE Transactions on Consumer Electronics 2025年

作者： Ali, Zain Asif, Muhammad Khan, Wali Ullah Elfikky, Abdelrahman Ihsan, Asim Ahmed, Manzoor Ranjha, Ali Srivastava, Gautam Electrical and Computer Engineering Department Baskin School of Engineering University of California Santa Cruz United States School of Computer Science and Communication Engineering Jiangsu University Zhenjiang China University of Luxembourg Luxembourg City1855 Luxembourg Department of Engineering University of Cambridge CambridgeCB3 0FA United Kingdom School of Computer and Information Science Hubei Engineering University Xiaogan City432000 China Institute for AI Industrial Technology Research Hubei Engineering University Xiaogan City432000 China Ecole de Technologie Supérieure MontréalQCH3C 1K3 Canada Department of Math and Computer Science Brandon University BrandonMBR7A 6A9 Canada Research Centre for Interneural Computing China Medical University Taichung40402 Taiwan Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140401 India

In this work, we introduce a novel hybrid joint optimization framework specifically designed for enhancing the performance of consumer electronics in vehicular networks using a transmissive reconfigurable intelligent surface (T-RIS)-mounted unmanned aerial vehicle (UAV) system. The UAV employs the non-orthogonal multiple access (NOMA) protocol to broadcast data to multiple ground devices, ensuring efficient communication. Our primary objective is to maximize the overall system sum rate while adhering to key constraints such as the rate requirements of ground devices, UAV battery capacity, and UAV coordinate boundaries. The optimization challenge of maximizing the system's sum rate is inherently non-convex and complex. To address this, we decompose the problem into manageable subproblems. The beamforming optimization problem is tackled using successive convex approximation and semi-definite programming techniques, allowing for effective handling of non-convexity. For power allocation, we employ the Lagrangian dual method along with the sub-gradient technique, ensuring optimal power distribution among devices. To optimize the UAV's location, we propose a dueling-based double deep reinforcement learning (D3RL) framework. This approach effectively combines all computed solutions, resulting in a comprehensive joint optimization strategy. Simulation results highlight the exceptional performance of the proposed framework. Specifically, optimizing the UAV's location leads to a substantial performance gain of up to 65.9% compared to a system where only beamforming and power allocation are optimized with the UAV positioned at the center of the service area. These findings underscore the potential of our framework in advancing consumer electronics connectivity in vehicular networks. © 2025 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Systematic Advancements in IoT: Integrating Edge Computing for Enhanced Architectures in Next-Generation Devices 1st

Systematic Advancements in IoT: Integrating Edge Computing f...

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1st International Conference on Advanced Network Technologies and Computational Intelligence, ICANTCI 2024

作者： Rajawat, Anand Singh Goyal, S.B. Islam, Sardar M. N. Malik, Varun School of Computer Sciences and Engineering Sandeep University Nashik India Faculty of Information Technology City University Petaling Jaya46100 Malaysia Institute for Sustainable Industries and Liveable Cities Victoria University Melbourne Australia Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura India

ISBN: (纸本)9783031860683

This paper introduces a methodical strategy for creating and executing IoT designs that are enhanced by edge computing. The goal is to meet the changing requirements of future devices. With the rise of the Internet of Things (IoT), there is a significant increase in the amount of data being generated due to the large number of interconnected devices. Conventional cloud-based processing models frequently encounter difficulties related to latency, bandwidth, and privacy problems. In order to address these difficulties, we provide a pioneering framework that incorporates edge computing into Internet of Things (IoT) systems. Our methodology disperses data processing, relocating computing in proximity to the data origin at the periphery of the network. By implementing this, the latency is reduced, the bandwidth utilization is minimized, and the data privacy is enhanced. In this document, we delineate the fundamental concepts that govern the design of this architecture, with a specific emphasis on modularity, scalability, and security. The architecture is intentionally built to be flexible, capable of accommodating a diverse array of IoT devices and applications, spanning from smart home systems to industrial automation. We showcase a preliminary version of our framework, illustrating its efficacy in several settings. Performance assessments demonstrate substantial enhancements in reaction time and bandwidth economy when compared to conventional cloud-based models. Our architecture additionally integrates sophisticated security protocols to protect against potential risks in IoT contexts. We analyze the consequences of our methodology on the future of IoT, emphasizing how architectures improved by edge computing can enable innovative opportunities for intelligent, effective, and protected IoT systems. This study establishes the foundation for future research and development in this potential subject, providing a detailed plan for the creation of the next generation of IoT

关键词： Cloud computing architecture

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A Clustering-Based Color Reordering Method for Reversible Data Hiding in Palette Images

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IET Image Processing 2025年第1期19卷

作者： Deng, Jianxuan Chen, Yi Wang, Hongxia Guo, Chun Cui, Yunhe Shen, Guowei State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang China Engineering Research Center of Text Computing & Cognitive Intelligence Ministry of Education Guizhou University Guiyang China School of Cyber Science and Engineering Sichuan University Chengdu China

A recent research work pointed out that the reversible data hiding algorithms proposed for gray-scale images can be implemented on the reconstructed palette images to improve embedding capacity and visual quality by reordering the color table. However, the reordering effect has a significant impact on performance improvement. Therefore, we propose a clustering-based color reordering method for reversible data hiding in palette images to improve the reordering effect and further enhance the performance. In this method, we first design a centroid initialization method to select the initial centroids and then exploit the K-means algorithm to generate (Formula presented.) clusters for the colors in the original color table. In the following, our proposed method, respectively, reorders the colors of these clusters by a greedy strategy and concatenates them into the reordered color table. Based on the relationship between the original and the reordered color tables, a novel index matrix can be reconstructed. Finally, state-of-the-art reversible data hiding algorithms can be implemented on the reconstructed index matrix for performance improvement. Since our proposed method improves the reordering effect, enhances the correlation of the reconstructed index matrix, and reduces the length of the encoded location map, the maximal embedding capacities and the visual quality under the fixed embedding capacities are improved. We conducted experiments on two image datasets and six standard images to verify that the performance improvement of our proposed reordering method is better than that of the state-of-the-art methods. © 2025 The Author(s). IET Image Processing published by John Wiley & Sons Ltd on behalf of The Institution of engineering and technology.

关键词： Embeddings

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Double-RIS Enabled Physical Layer Security for Wireless-Powered Communication Systems Over Rayleigh Fading Channels

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IEEE Transactions on Communications 2025年

作者： Chen, Jingyu Cao, Kunrui Ding, Haiyang Lv, Lu Ye, Yinghui Chi, Haolian Wang, Tao Yang, Liang National University of Defense Technology School of Information and Communications Wuhan430035 China Xidian University School of Telecommunications Engineering Xi'an710071 China Xi'an University of Posts and Telecommunications Shaanxi Key Laboratory of Information Communication Network and Security Xi'an710121 China Hunan University College of Computer Science and Electronic Engineering Changsha410082 China

This paper investigates the physical layer security for a double-reconfigurable intelligent surface (DRIS) aided wireless-powered communication (WPC) system in the presence of an eavesdropper, where one RIS (termed as RIS-1) is deployed between power station (PS) and information user (U) while the other RIS (termed as RIS-2) is deployed between U and access point (AP). Moreover, an idle user acts as a cooperative jamming user (J) to emit the artificial noise to improve the transmission security of U. According to different types in energy harvesting (EH) and information transmission (IT)/noise transmission (NT) of U/J, we propose four DRIS enabled wireless-powered cooperative jamming transmission schemes based on jointly enhancing EH and IT of U (namely DRIS-1), jointly enhancing EH of U and NT of J (namely DRIS-2), jointly enhancing EH of J and IT of U (namely DRIS-3), and jointly enhancing EH and NT of J (namely DRIS-4), respectively. We analyze connection outage probability (COP), secrecy outage probability (SOP), and effective secrecy throughput (EST) of the proposed four schemes, respectively. The results show that DRIS-1 scheme has the highest diversity gain among the four schemes. Besides, the gain of the number of reflecting elements at RIS-1 has the same order as that at RIS-2 in DRIS-1 scheme and DRIS-4 scheme. In DRIS-2 scheme, the gains of the number of reflecting elements at RIS-1 and RIS-2 are two powers and one power, respectively, while the opposite is true in DRIS-3 scheme. In addition, DRIS-1 scheme achieves the best COP, while DRIS-4 scheme achieves the best SOP. DRIS-1 scheme, DRIS-3 scheme, and DRIS-4 scheme respectively achieve the best EST in the low, middle, and high region of transmission power or number of RIS elements. © 1972-2012 IEEE.

关键词： Inductive power transmission

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