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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

共 30727 条记录，以下是331-340 订阅

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Parted Security Method for Secure Data Exchange in Heterogeneous Applications Using Wireless sensor Networks 3

Parted Security Method for Secure Data Exchange in Heterogen...

引用

3rd ieee international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Chandrika, G. Naga Ramesh, S. Balasamy, K. Anandaraj, A. Glory, E. Suganthi, R. Vnr Vignana Jyothi Institute Of Engineering & Technology Department Of It Hyderabad India Srm Institute Of Science And Technology Department Of Computing Technologies Kattankulathur India Bannari Amman Institute Of Technology Department Of Ai&ds Erode India Sri Eshwar College Of Engineering Department Of Cse Coimbatore India Saveetha School Of Engineering Simats Department Of Biosciences Chennai India Panimalar Engineering College Department Of Ece Chennai India

ISBN: (纸本)9798350318609

In tackling the changing security issues in Wireless sensor Network (WSN) applications, the Parted Secure Data Exchange Method (PSDEM) is a noteworthy development. In order to acknowledge the intrinsic heterogeneity of users and applications in WSNs, segment-based trust is crucial. PSDEM offers a sophisticated and adaptable approach to security by acknowledging that various areas of the network may require varying degrees of protection and customising security measures to those segments. PSDEM's primary novelty is its approach to reducing the erroneous rate of intrusions during data exchange periods. PSDEM presents a revolutionary paradigm where the vulnerability of one segment does not undermine the overall security of the entire data transmission. The proposed method is reliable in reducing the service latency, false rate, and service loss by 9.63%, 11.37%, and 10.68% for the maximum network regions used for data exchange. © 2024 ieee.

关键词： Electronic data interchange

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Quality-Aware Real-Time Augmented Reality Visualization under Delay Constraints 42

Quality-Aware Real-Time Augmented Reality Visualization unde...

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42nd ieee international conference on distributed computing systems (ICDCS)

作者： Lee, Rhoan Park, Soohyun Jung, Soyi Kim, Joongheon Ewha Womans Univ Seoul South Korea Korea Univ Seoul South Korea Hallym Univ Chunchon South Korea

ISBN: (数字)9781665471770

ISBN: (纸本)9781665471770

Augmented reality (AR) is one of emerging applications in modern multimedia systems research. Due to intensive time-consuming computations for AR visualization in mobile devices, quality-aware real-time computing under delay constraints is essentially required. Inspired by Lyapunov optimization framework, this paper proposes a time-average quality maximization method for the AR visualization under delay considerations.

关键词： Visualization Multimedia systems Real-time systems Mobile handsets Delays distributed computing Augmented reality

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Adaptive Traffic Light Control Through Reinforcement Learning Based on sensor Integration 21st

Adaptive Traffic Light Control Through Reinforcement Learnin...

引用

21st international Symposium on distributed computing and Artificial Intelligence

作者： Uribe-Chavert, Pedro Lopez-Cuerva, Luis Posadas-Yague, Juan-Luis Poza-Lujan, Jose-Luis Univ Politecn Valencia Doctoral Sch Camino VeraSn Valencia 46022 Spain Univ Politecn Valencia Informat Sch Camino VeraSn Valencia 46022 Spain Univ Politecn Valencia Res Inst Ind Comp & Automat Camino VeraSn Valencia 46022 Spain

ISBN: (纸本)9783031820724;9783031820731

This paper explores intelligent traffic light management advancements, focusing on controlling intersection traffic opening times. The decision-making process is influenced by factors such as traffic density. The information for these decisions is gathered from sensors placed on the streets, whose accuracy can vary. Data collected are processed to aid control agents in decision-making. The paper proposes an intersection control algorithm that operates under the assumption of lacking sensorisation. To balance raw sensor data, control nodes implement a reinforced learning algorithm to select the most suitable combination of sensors to improve traffic parameters. The paper also introduces a method for calculating traffic density by combining sensors with imprecise data. This research contributes to intelligent traffic management by providing a novel approach to intersection control and traffic density calculation.

关键词： Intelligent Traffic Light Management Reinforced Learning Algorithm Traffic Density Calculation

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Dependency-aware Microservice Deployment and Resource Allocation in distributed Edge Networks 19

Dependency-aware Microservice Deployment and Resource Alloca...

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19th ieee international Wireless Communications and Mobile computing (ieee IWCMC)

作者： Zhou, Jizhe Wang, Guangchao Zhou, Wei China Acad Informat & Commun Technol Beijing Peoples R China

ISBN: (纸本)9798350333398

Microservice deployment strategy gains increasing attentions due to its benefits for reducing the overall computation and transmission delay of applications. Most prior work models the dependencies between microservices of an application as service function chain or directed acyclic graph, and neglects the interaction relationship and the different communication overhead between two interactive microservices. To characterize the features of applications, our work considers the interaction dependency between microservices, and models the communication frequency over each dependency edge. In this paper, we address the joint optimization of microservice deployment and resource allocation decisions to minimize the sum of delay of multiple applications in the distributed edge networks. Since this problem is NP-hard, a coalition game-based algorithm is proposed to obtain the dependency-aware microservice deployment and resource allocation scheme. Numerical results validate the advantages of our approach particularly when microservices have strong interaction.

关键词： Microservices deployment computing network dependency awareness multi-access edge computing

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A TACTILE sensor ARRAY WITH A MONOLITHICALLY INTEGRATED NEURAL NETWORK FOR EDGE COMPUTATION 36

A TACTILE SENSOR ARRAY WITH A MONOLITHICALLY INTEGRATED NEUR...

引用

36th ieee international conference on Micro Electro Mechanical systems (MEMS)

作者： Lei, Tengteng Hu, Yushen Wong, Man Hong Kong Univ Sci & Technol Hong Kong Peoples R China

ISBN: (纸本)9781665493086

Described presently is a monolithically integrated "intelligent" sensor system consisting of a piezoelectric tactile sensor array and an artificial neural network (ANN). Low-temperature processed, dual-gate thin-film transistors (TFTs) based on semiconducting indium-tin-zinc oxide are deployed in the former for signal acquisition and in the latter for executing the "multiply-accumulate" operation. With the ANN appropriately trained, the system is capable of both "imaging" and "recognizing" a distributed force load applied on the sensor array using 3D-printed stamps. The proposed integration scheme can be deployed to construct intelligent sensor systems for applications other than tactile sensing.

关键词： Tactile sensor array artificial neural network edge computation dual-gate metal-oxide thin-film transistors

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M-DRTA: A distributed Runtime Monitoring and Assurance Framework for Multi-vehicle Behavior Planning 30

M-DRTA: A Distributed Runtime Monitoring and Assurance Frame...

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30th ieee international conference on Embedded and Real-Time computing systems and Applications (RTCSA)

作者： Peng, Yanfei Tan, Guozhen Wang, Xiang Dalian Univ Technol Sch Comp Sci & Technol Dalian Peoples R China Dalian Univ Technol Dalian Peoples R China

ISBN: (纸本)9798350387964;9798350387957

The machine learning-based decision algorithms commonly used in autonomous driving have led to the Safety of the Intended Functionality(SOTIF) issues due to their potential lack of functionality. To address these limitations, we propose M-DRTA, a distributed runtime assurance framework based on machine learning, which can provide safety assurance for multi-autonomous vehicles by making functional improvements to narrow the vehicle safety zone. We secure the entire multi-vehicle driving system by maintaining safety in local vehicles. In the M-DRTA, an independent runtime assurance framework is provided for each autonomous vehicle through redundant functional modules that include a deep neural network-based advanced controller, a recoverable safety controller, and a monitoring and assurance module. Monitor SOTIF risks by identifying trigger conditions, under-function status, etc., and provide safety through permission handover without unduly sacrificing performance. We tested and evaluated M-DRTA for the different number of vehicle states in a driving task. The experimental results show that M-DRTA can strike a proper balance between safety and efficiency compared to the baseline approach.

关键词： runtime assurance framework deep reinforcement learning multi-agent autonomous driving simplex architecture

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Fortifying NoC-based Manycores: distributed Monitoring to Detect Security Threats 31

Fortifying NoC-based Manycores: Distributed Monitoring to De...

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31st conference on Electronics Circuits and systems

作者： Faccenda, Rafael Follmann Comaru, Gustavo Calazans, Ney Caimi, Luciano Lores Moraes, Fernando Gehm Pontificia Univ Catolica Rio Grande do Sul Sch Technol Porto Alegre Brazil Fed Univ Santa Catarina UFSC Comp Dept DEC Ararangua Brazil Fed Univ Fronteira Sul UFFS Chapeco Chapeco Brazil

ISBN: (纸本)9798350377217;9798350377200

As computing technology advances, manycore systems have become increasingly used due to their performance and parallel processing capabilities. However, these systems also present significant security risks, including threats from hardware Trojans, malicious applications, and peripherals capable of executing various attacks, such as denial-of-service, spoofing, and eavesdropping. Researchers have proposed several security enhancements to address these challenges, including establishing secure zones, authentication protocols, and security-aware routing algorithms. This paper introduces a distributed monitoring mechanism that can detect suspicious activities within NoC links, peripheral interfaces, and packet reception protocols, explicitly focusing on detecting DoS, spoofing, and eavesdropping attacks. We conducted a comprehensive attack campaign to evaluate the effectiveness of our monitoring mechanisms and test the platform's resilience. The results were promising, with the system successfully detecting all attacks and continuing to execute applications correctly. Although there was an average execution time penalty of 8.83%, which included the time taken to generate attack warnings from the monitoring mechanisms and apply countermeasures, this mechanism significantly enhanced the security of manycore systems.

关键词： Security NoC-based Manycores Security Threat Monitoring Security Evaluation

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Collaborative and Integrated Platform to Support distributed Manufacturing System Using a Service-Oriented Approach Based on Cloud computing Paradigm

Collaborative and Integrated Platform to Support Distributed...

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2025 ieee international conference on Computational, Communication and Information Technology, ICCCIT 2025

作者： Nainwal, Ankita Sharma, Vishal Varshney, Neeraj Shirish Boob, Nandini Reddy, N.V. Uma Reddy, K. Jyothsna Graphic Era Deemed to Be University Department of Computer Science & Engineering Dehradun India Lovely Professional University Phagwara India GLA University Department of Computer Engineering and Applications Mathura India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamilnadu Chennai India New Horizon College of Engineering Department of Artificial Intelligence & Machine Learning Bangalore India MLR Institute of Technology Department of CSE-AI&ML Telangana Hyderabad India

ISBN: (纸本)9798331512965

Increasing interest in distributed manufacturing systems is a result of the dynamic nature of today's business environment and with that comes the popularity of their use. This has given rise in the interest in distributed manufacturing systems. The indirect consequence of this has led to much higher use of distributed manufacturing systems. A large number of production processes, dispersed across a multitude of locations geographically separate, must be controlled and integrated in order to achieve production agility, flexibility and efficiency of costs. In our most recent project, we developed an integrated, collaborative manufacturing platform, the centerpiece of which was LAYMOD. To address the issues posed by such systems, this research presents a collateral and integrated platform based on a service oriented approach that can operate within the cloud computing paradigm. These systems present problems which the study is conducted in order to solve. Utilising the features of cloud computing, it aims to serve as a platform in solving process coordination and hence improving efficiency and scalability of distant manufacturing processes and potential real time communications among various stake holders. Furthermore, statistical research on the rates of platform module adoption in different settings provides specifics of (a) use patterns of some platform modules and (b) what capabilities are provided by some platform modules. When extrapolated to a wider size, our work is applied towards the creation of collaborative and integrated platforms for a number of the various manufacturing processes which are currently in use. © 2025 ieee.

关键词： Cloud platforms

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Batch Updates of distributed Streaming Graphs using Linear Algebra

Batch Updates of Distributed Streaming Graphs using Linear A...

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2024 Workshops of the international conference for High Performance computing, Networking, Storage and Analysis, SC Workshops 2024

作者： Hassani, Elaheh Hussain, Md Taufique Azad, Ariful Indiana University Dept. of Intelligent Systems Engineering BloomingtonIN United States

ISBN: (纸本)9798350355543

We develop a distributed-memory parallel algorithm for performing batch updates on streaming graphs, where vertices and edges are continuously added or removed. Our algorithm leverages distributed sparse matrices as the core data structures, utilizing equivalent sparse matrix operations to execute graph updates. By reducing unnecessary communication among processes and employing shared-memory parallelism, we accelerate updates of distributed graphs. Additionally, we maintain a balanced load in the output matrix by permuting the resultant matrix during the update process. We demonstrate that our streaming update algorithm is at least 25 times faster than alternative linear-algebraic methods and scales linearly up to 4,096 cores (32 nodes) on a Cray EX supercomputer. © 2024 ieee.

关键词： batch graph updates distributed-memory algorithms parallel computing parallel graph algorithms scalability in graph processing sparse matrices streaming graphs

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Unveiling Synergies: Integrating ieee 1451 and ISO 15926 for Advanced Interoperability in Smart Manufacturing and Transportation 31

Unveiling Synergies: Integrating IEEE 1451 and ISO 15926 for...

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31st conference on Electronics Circuits and systems

作者： Tavakkoli, Vahid Mohsenzadegan, Kabeh Kambale, Witesyavwirwa Vianney Kyamakya, Kyandoghere Univ Klagenfurt Inst Smart Syst Technol Klagenfurt Austria Univ Kinshasa Fac Polytech Kinshasa DEM REP CONGO

ISBN: (纸本)9798350377217;9798350377200

In smart manufacturing and transportation systems, seamless interoperability is crucial for efficient data exchange and informed decision-making. This paper explores integrating ieee 1451 and ISO 15926 data models to enhance interoperability in these sectors. We align sensor and actuator models to bolster interoperability and assess leveraging these standards within the Arrowhead flexible Production Value Network (fPVN). We propose innovative solutions, including an ontology mapping tool for seamless data integration, a wrapper service for real-time data translation, and a lightweight semantic reasoner at the fog computing layer. These solutions bridge the gap between theoretical constructs and practical applications, overcoming interoperability barriers, enhancing decision-making, and refining operational effectiveness. Our study shows significant potential for improving system cohesiveness, efficiency, and robustness tailored to Industry 5.0. This research provides a foundation for future implementations in smart manufacturing and transportation, paving the way for advanced, responsive, and sustainable industrial ecosystems.

关键词： Smart Manufacturing Smart Transportation Interoperability ieee 1451 ISO 15926 Data Models Ontology Mapping Wrapper Service Semantic Reasoning

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