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

共 30762 条记录，以下是331-340 订阅

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Hybrid Adam Coati Optimization with DLSTM for Biomedical Parameter Prediction Using sensor 3

Hybrid Adam Coati Optimization with DLSTM for Biomedical Par...

引用

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

作者： Rajesh, L. Mohan, H.S. Bindiya, M.K. Visvesvaraya Technological University Dayananda Sagar Academy Of Technology And Management Department Of Information Science And Engineering Karnataka Bengaluru India Karnataka Bengaluru India Sjb Institute Of Technology Department Of Computer Science And Engineering Karnataka Bengaluru India

ISBN: (数字)9798350318609

ISBN: (纸本)9798350318609

A real-time patient monitoring system procesfses a wide range of biomedical parameters and can store and safely capture biomedical parameters. It lowers the diagnosis time of the several diseases that are prevalent in healthcare services. Accurate prediction of biomedical parameters can significantly reduce healthcare costs and assist in effective decision-making. This research proposes a deep learning approach with hybrid optimization for biomedical parameter prediction by using sensors. At first, a healthcare centre with many patients having various disorders is considered. Several biomedical sensors are placed on the patients and these sensors include a respiratory Rate (RR) sensor, Heart rate (HR) sensor, Pulse Rate (PR) sensor, Ambulatory Blood Pressure (ABP)-sensor, and Saturation of Peripheral Oxygen (SpO2). Based on these sensed parameters, biomedical parameter prediction by using sensor based Deep Long Short-Term Memory (DLSTM)is executed. The DLSTM is trained using the proposed Hybrid Adam Coati Optimization(HAdCO). Here, the HAdCO is developed by incorporating of Coati Optimization Algorithm (COA) with Adam Optimizer. Furthermore, the HAdCO-DLSTM is evaluated by utilising metrics, like Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE). The HAdCO-DLSTM had a minimal value of MAE at 0.0063, MSE at 0.0062, and RMSE at 0.0078. © 2024 ieee.

关键词： Long short-term memory

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OCDE: Adaptive Differential Evolution Algorithm in distributed Intelligent systems 16

OCDE: Adaptive Differential Evolution Algorithm in Distribut...

引用

16th international conference on Cyber-Enabled distributed computing and Knowledge Discover, CyberC 2024

作者： Wang, Minghao Du, Shaoyi Xi'an Jiaotong University Institute of Artificial Intelligence and Robotics Xi'an China

ISBN: (纸本)9798331506896

In autonomous driving, the optimization theory and algorithms for distributed intelligent systems are essential for enhancing vehicle decision-making capabilities, path planning, and environmental perception. Evolutionary algorithms, as a global optimization method inspired by biological evolution, is widely used in these scenarios. Unfortunately, the performance of evolutionary algorithms relies on the properties of the solution space, the optimization strategy, and parameter settings, and their efficiency also requires more rigorous evaluation. This study focuses on differential evolution algorithm, examining the properties of the solution space for optimization problems, the preferences of strategies and parameters in different optimization scenarios, and setting new standards for efficiency evaluation. Based on the experimental conclusions, modifications are made to our algorithm to further verify the correctness of our findings. All experimental results are deduced based on the CEC2017 benchmark problem suite from the ieee Congress on Evolutionary Computation (CEC). © 2024 ieee.

关键词： Anthropogenic

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

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

引用

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

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

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

Adaptive Traffic Light Control Through Reinforcement Learnin...

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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...

引用

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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