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arXiv 2025年

作者： De Carufel, Jean-Lou Maheshwari, Anil Odak, Saeed Roy, Bodhayan Smid, Michiel Vicuna, Marc School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada School of Computer Science Carleton University Ottawa Canada Department of Mathematics Indian Institute of Technology Kharagpur India

The interestingness score of a directed path Π = e1, e2, e3,. . ., e in an edge-weighted directed graph G is defined as score(Π):= Pi=1 w(ei) · log (i + 1), where w(ei) is the weight of the edge ei. We consider two optimization problems that arise in the analysis of Mapper graphs, which is a powerful tool in topological data analysis. In the IP problem, the objective is to find a collection P of edge-disjoint paths in G with the maximum total interestingness score. For k ∈ N, the k-IP problem is a variant of the IP problem with the extra constraint that each path in P must have exactly k edges. Kalyanaraman, Kamruzzaman, and Krishnamoorthy (Journal of Computational Geometry, 2019) claim that both IP and k-IP (for k ≥ 3) are NP-complete. We point out some inaccuracies in their proofs. Furthermore, we show that both problems are NP-hard in directed acyclic graphs. © 2025, CC BY.

关键词： Directed graphs

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Confidence-Based Trustscoring System for Identification of Secure Agent Platforms

Confidence-Based Trustscoring System for Identification of S...

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

作者： Adri Jovin John Joseph Marikkannu P Marikkannan Mariappan Department of Information Technology Sri Ramakrishna Institute of Technology Coimbatore India Department of Information Technology Anna University Regional Campus Coimbatore Coimbatore India Department of Computer Science and Engineering Government College of Engineering Erode Erode India

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509835

Autonomous mobile agent systems can accomplish multiple tasks in an asynchronous and dynamic manner in platforms where there is excessive network load, network interruption and in slow networks. However, the decisions and execution depend on the platforms visited by the agents. Since the platforms may influence the decisions made by the agents, it is crucial that the trustable platforms are selected. Trust score is one parameter that helps mobile agents to select the appropriate platform. This work proposes a minor modification of the existing trust score calculation which has a significant impact on the safety and performance of mobile agent systems when deployed in a conventional distributed environment or in a modern cloud environment for completion of tasks. This work introduces a confidence-based approach for the five parameters namely persistence, competence, reputation, credibility, integrity which determine the trust score. This will provide a clear decision-making environment for the mobile agents to choose an appropriate platform.

关键词： Mobile agents Decision making Safety Collaborative intelligence

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ElephantGuardNet: A Comprehensive Solution for Elephant Conservation and Human-Elephant Conflict Reduction

ElephantGuardNet: A Comprehensive Solution for Elephant Cons...

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Sentiment Analysis and Deep Learning (ICSADL), International Conference on

作者： S. Naveen R. Dhamotharan S. Sahebzathi R. Santhana Krishnan V. Vinoth Kumar P. Sundaravadivel Department of Mechanical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Department of Computer Science and Information Technology Kalasalingam Academy of Research and Education Krishnankoil India Department of Computer Science and Engineering Velammal College of Engineering and Technology Madurai India Department of Electronics and Communication Engineering SCAD College of Engineering and Technology Cheranmahadevi India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department of Artificial Intelligence and Machine Learning Saveetha Engineering College Chennai India

ISBN: (数字)9798331523923

ISBN: (纸本)9798331523930

The ElephantGuardNet system is an advanced technological framework designed to monitor and protect elephants while minimizing human-elephant conflict. The system leverages a combination of real-time data collection, AI-driven analysis, and IoT sensors to track elephant movements across vast territories. By integrating wildlife camera traps, drones, satellite imagery, and IoT sensors such as infrared motion detectors and seismic sensors, the system provides continuous monitoring of elephant activity, enabling proactive management of potential risks. A custom dataset, ElephantMovementTracker, compiled from diverse data sources, forms the foundation for the model's training. Preprocessing techniques such as data normalization, augmentation, and noise filtering enhance the dataset's quality and ensure its suitability for deep learning applications. EfficientNet B7 and YOLO are employed for image and real-time detection tasks, respectively, while 3D CNNs are used for video analytics, enabling accurate tracking of dynamic movement patterns. GRU-based models predict future elephant movements, helping assess the likelihood of conflict. XGBoost is utilized for classification tasks, evaluating the risk of human-elephant conflict. The system is deployed on AWS and incorporates NVIDIA Jetson Nano for real-time detection and automated alerting via SMS and email. IoT sensors and automated deterrent systems, including sound emitters and drones, further mitigate conflict risk. The system's effectiveness in reducing human-elephant conflicts and providing a scalable solution for elephant conservation demonstrates the potential of AI and IoT integration in wildlife protection efforts, offering a comprehensive approach to both conservation and human-elephant coexistence.

关键词： Deep learning YOLO Accuracy Tracking Visual analytics Wildlife Predictive models Real-time systems Sensor systems Drones

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Design and Implementation of a Low-Power Body Area Network for Real-Time Monitoring of Vital Signs 3

Design and Implementation of a Low-Power Body Area Network f...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Nayagam, Senthil Agarwal, Trapty Ojha, Varun Routray, Rashmita Baxi, Paramjit Rekha, M.M. Sathyabama Institute of Science and Technology Department of Electrical and Electronics Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh Baddi174103 India Karnataka Bangalore India

ISBN: (纸本)9798331542375

Body area network refers to wearable sensors that can measure vital signs 24/7. It has potential uses in healthcare, such as early detection of health issues. The more difficult part about implementing a BAN is creating a system that uses low power and will need to be replaced over long periods. In this work, we present the design and implementation of a low-power BAN for real-time acquisition of vital signals. It comprises small, energy-efficient sensors that measure vital signs like heart rate, blood pressure and body temperature. Each sensor is interfaced to a low-power radio module that transmits the data wirelessly to a central monitoring unit. Then, we use novel energy-management strategies like duty cycling and dynamic voltage scaling to save power consumption. We are also using sophisticated signal processing algorithms to minimize the data that needs to be sent, which will also help to decrease power consumption. We have successfully deployed and tested a BAN in real conditions. Our results demonstrate major savings in battery consumption over current implementations of BAN. This low-power BAN can change the healthcare field and accelerate its deployment by allowing vital signs to be monitored in real-time at an affordable cost. © 2025 IEEE.

关键词： Voltage scaling

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SMILENet: Unleashing Extra-Large Capacity Image Steganography via a Synergistic Mosaic InvertibLE Hiding Network

arXiv

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arXiv 2025年

作者： Huang, Jun-Jie Chen, Zihan Liu, Tianrui Zhao, Wentao Deng, Xin Liu, Xinwang Wang, Meng Dragotti, Pier Luigi College of Computer Science and Technology National University of Defense Technology Changsha China School of Electronic Information Engineering Beihang University Beijing China School of Computer Science and Information Engineering Hefei University of Technology Hefei China Department of Electrical and Electronic Engineering Imperial College London London United Kingdom

Existing image steganography methods face fundamental limitations in hiding capacity (typically 1 ∼ 7 images) due to severe information interference and uncoordinated capacity-distortion trade-off. We propose SMILENet, a novel synergistic framework that achieves 25 image hiding through three key innovations: (i) A synergistic network architecture coordinates reversible and non-reversible operations to efficiently exploit information redundancy in both secret and cover images. The reversible Invertible Cover-Driven Mosaic (ICDM) module and Invertible Mosaic Secret Embedding (IMSE) module establish cover-guided mosaic transformations and representation embedding with mathematically guaranteed invertibility for distortion-free embedding. The non-reversible Secret Information Selection (SIS) module and Secret Detail Enhancement (SDE) module implement learnable feature modulation for critical information selection and enhancement. (ii) A unified training strategy that coordinates complementary modules to achieve 3.0× higher capacity than existing methods with superior visual quality. (iii) Last but not least, we introduce a new metric to model Capacity-Distortion Trade-off for evaluating the image steganography algorithms that jointly considers hiding capacity and distortion, and provides a unified evaluation approach for accessing results with different number of secret image. Extensive experiments on DIV2K, Paris StreetView and ImageNet1K show that SMILENet outperforms state-of-the-art methods in terms of hiding capacity, recovery quality as well as security against steganalysis methods. Copyright © 2025, The Authors. All rights reserved.

关键词： Steganography

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Smart Car technology: Computational and Characterization Techniques in engineering

Smart Car Technology: Computational and Characterization Tec...

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Machine Learning and Autonomous Systems (ICMLAS), International Conference on

作者： Kavitha K. S. Maragathasundari K. Karthikeyan C. Swedheetha Department of Mathematics Saveetha school of Engineering Saveetha Institute of medical and technical sciences Chennai India Department of Mathematics Velammal Institute of Technology Chennai India Department of Computer Science and Engineering Velammal college of Engineering and technology Madurai India

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505752

Smart vehicles represent a significant advancement in automotive technology, integrating various intelligent systems to enhance driving experience and safety. These vehicles utilize advanced circuit boards, microprocessors, and Internet of Things (IoT) features to interact with other vehicles, their environment, and human operators. The study of input and output channels for user interaction in smart vehicles can benefit from queuing analysis to streamline how users interact with the vehicle's systems. This includes optimizing the response times of user commands and interactions with the vehicle's interfaces. By applying queuing theory, the study aims to improve the efficiency of smart vehicle systems, from manufacturing to operational performance, ensuring that smart vehicles deliver on their promise of enhanced functionality, safety, and user experience.

关键词： System performance User experience Safety Automobiles Internet of Things Time factors Stakeholders Resource management Vehicle dynamics Queueing analysis

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Strategic Placement of FACTS Devices for Optimizing Power Transmission Efficiency and Stability

Strategic Placement of FACTS Devices for Optimizing Power Tr...

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International Symposium on Digital Forensic and Security (ISDFS)

作者： Blake Pickett Asaf Varol Dept. of Engineering Management & Technology College of Engineering and Computer Science University of Tennessee at Chattanooga Chattanooga TN US Department of Computer Engineering College of Engineering & Natural Sciences Maltepe University Istanbul Türkiye

ISBN: (数字)9798331509934

ISBN: (纸本)9798331509941

Flexible AC Transmission Systems (FACTS) devices play a critical role in enhancing power transmission efficiency and stability within modern electrical grids. This study investigates the strategic placement of two key FACTS technologies—Thyristor-Controlled Series Capacitors (TCSC) and Static Synchronous Compensators (STATCOM)—to optimize power flow, voltage regulation, and reactive power compensation. Using MATLAB Simulink modeling, a 200kilometer transmission line is simulated with different configurations to assess performance impacts based on device type and location. The analysis reveals that TCSC devices significantly improve power transfer by reducing line reactance and enhancing voltage stability, while STATCOM devices provide superior reactive power support and contribute to overall system stability. Comparative evaluations demonstrate that placing both devices at the sending end of the transmission line yields optimal results in terms of efficiency, power loss reduction, and operational resilience. Additionally, the study addresses the potential environmental implications of deploying FACTS devices near high-emission generation sources, highlighting the need for sustainable integration strategies. These insights offer practical guidance for utilities and system planners aiming to modernize transmission infrastructure through targeted technological interventions.

关键词： Performance evaluation Thyristors Reactive power Power transmission lines Software packages Power system stability Propagation losses Stability analysis Automatic voltage control Power capacitors

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IoT-Based Portable ECG and Heart Rate Monitoring System with Minimal Cost

IoT-Based Portable ECG and Heart Rate Monitoring System with...

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AIML-Applications for engineering & technology (ICAET), International Conference on

作者： Achinta Brata Roy Tonmoy Selim Sultan Suparna Rani Bristy Electrical Engineering and Computer Science Department University of Wyoming Laramie Wyoming USA Department of Electrical and Electronics Engineering Jain (Deemed-to-be-University) Bangalore India Department of Information and Communication Technology Mawlana Bhashani Science and Technology University Santosh Tangail Bangladesh

ISBN: (数字)9798350355611

ISBN: (纸本)9798350355628

Cardiovascular disease is a major cause of mortality globally, and early detection through electrocardiograms (ECG) is crucial for effective treatment. ECGs measure the heart's electrical impulses, enabling detection of various cardiac irregularities. In recent years, there has been a push to develop low-cost, IoT-based portable ECG monitoring systems to make healthcare more accessible. However, existing solutions are often constrained by limited Bluetooth connectivity (under 100 meters) or rely on expensive processors like Raspberry Pi, which restricts use in low-resource settings. This research proposes a novel IoT-based ECG monitoring system designed to be both affordable and efficient, overcoming these limitations with a minimal hardware setup. The system utilizes the ESP8266 module as a cost-effective microcontroller, enabling real-time ECG data transmission over the internet and allowing healthcare professionals to monitor patients remotely without range restrictions. At a cost of only ∃16, this system reduces expenses by 88.49% compared to similar existing models, offering a practical, scalable solution for telemedicine. The system architecture includes an ECG detecting node, IoT cloud platform, and a user-friendly interface, with the AD8232 sensor gathering ECG data processed by the ESP8266 and transmitted to a secure cloud platform(Ubidots). Authorized healthcare providers can access this data, with alerts for any detected irregularities, supporting timely intervention. The system's performance has been validated on multiple patients, achieving a 92% accuracy that aligns well with clinical ECG standards. This low-cost and precise IoT-based ECG monitoring technology signifies a significant progression in telemedicine, facilitating efficient remote monitoring and broadening access to vital healthcare services.

关键词： Cloud computing Costs Telemedicine System performance Systems architecture Medical services Electrocardiography Real-time systems Monitoring Standards

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Challenges and Solutions for Securing Cloud-Based Virtual Private Networks (VPNs) 3

Challenges and Solutions for Securing Cloud-Based Virtual Pr...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Parmar, Yuvraj Satish Kumar, R. Karthikeyan, V. Shukla, Gaurav Mishra, Debahuti Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India

ISBN: (纸本)9798331542375

Cloud-based virtual private networks are becoming common as fewer connections to the company network make them cost-effective and convenient. Nonetheless, increased cyber-attacks and data breaches have made it incredibly difficult for organizations to secure these VPNs. In this technical abstract, we will highlight & describe issues with securing cloud-based VPNs, along with a few ideas for making them secure. In the first rung, there are those weaknesses of cloud-based VPN infrastructure. Since these VPNs are hosted on third-party cloud servers, they are susceptible to DoS and DDoS attacks. Moreover, due to the collaborative/inexpensive nature of cloud servers, they are also vulnerable when it comes to leaking data and getting unauthorized access. The second challenge is that managing the security of so many VPN connections becomes very difficult. Keeping track of all VPN users and their devices and which security protocols are being used becomes cumbersome for organizations, making detecting and responding quickly to a security breach difficult. Organizations should consider implementing multi-factor authentication and strong encryption protocols for their cloud-based VPNs to remedy these complications. Regular vulnerability assessments and penetration tests are also important to identify security risks. Also, a centralized network security management system can ensure more visibility and control of VPN connections. © 2025 IEEE.

关键词： Authentication

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A Comprehensive Survey on Federated Learning Applications in Computational Mental Healthcare

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computer Modeling in engineering & sciences 2025年第1期142卷 49-90页

作者： Vajratiya Vajrobol Geetika Jain Saxena Amit Pundir Sanjeev Singh Akshat Gaurav Savi Bansal Razaz Waheeb Attar Mosiur Rahman Brij B.Gupta Institute of Informatics and Communication University of DelhiDelhi110021India Maharaja Agrasen College University of DelhiDelhi110096India Computer Engineering Ronin InstituteMontclairNJ 07043USA Department of Research and Innovation Insights2TechinfoJaipur302001India University Centre for Research and Development(UCRD) Chandigarh UniversityChandigarh140413India Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia CCRI&Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India

Mental health is a significant issue worldwide,and the utilization of technology to assist mental health has seen a growing *** aims to alleviate the workload on healthcare professionals and aid *** applications have been developed to support the challenges in intelligent healthcare ***,because mental health data is sensitive,privacy concerns have *** learning has gotten some *** research reviews the studies on federated learning and mental health related to solving the issue of intelligent healthcare *** explores various dimensions of federated learning in mental health,such as datasets(their types and sources),applications categorized based on mental health symptoms,federated mental health frameworks,federated machine learning,federated deep learning,and the benefits of federated learning in mental health *** research conducts surveys to evaluate the current state of mental health applications,mainly focusing on the role of Federated Learning(FL)and related privacy and data security *** survey provides valuable insights into how these applications are emerging and evolving,specifically emphasizing FL’s impact.

关键词： Depression emotional recognition intelligent healthcare systems mental health federated learning stress detection sleep behaviour

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