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

共 30781 条记录，以下是761-770 订阅

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2024 ieee 3rd international conference on Electrical Power and Energy systems, ICEPES 2024

2024 IEEE 3rd International Conference on Electrical Power a...

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3rd ieee international conference on Electrical Power and Energy systems, ICEPES 2024

ISBN: (纸本)9798350390728

The proceedings contain 154 papers. The topics discussed include: energy efficient routing technique in wireless sensor network using hybrid approach;simulation based actuator model creation and commissioning on virtual test bed;differential protection of active distribution network in the presence of inverter interfaced distributed generation;confirmatory check of 1 kW BLDC motor for use in electric vehicle application;design and performance analysis of utility scale grid connected hybrid wind-solar plant in an existing operational wind farm in India;enhancing home energy use with solar panels and battery technology;WPT system for bidirectional on-board electric vehicle charging - a review;detection and study of HIF with the help of discrete wavelet transform in distribution lines;and enhancing DC microgrid performance: a comprehensive review of control, operation, and protection strategies.

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A Cooperative Caching Scheme in Fog/sensor Nodes for CCN 18

A Cooperative Caching Scheme in Fog/Sensor Nodes for CCN

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18th ieee international Wireless Communications and Mobile computing conference (IWCMC)

作者： Sellami, Youssef Jaber, Ghada Lounis, Ahmed Lakhlef, Hicham Bouabdallah, Abdelmadjid Sorbonne Univ Univ Technol Compiegne CNRS UMR 7253HEUDIASYC CS 60319 F-60203 Compiegne France

ISBN: (纸本)9781665467490

Current Internet of Things (IoT) and Wireless sensor Networks (WSNs) designs struggle to meet the excessive demand for content by an increasing number of smart objects, in terms of bandwidth and energy consumption. At the same time, the presence of devices with relatively high resources in the vicinity of the IoT devices, such as fog computing, may provide a balance between the cloud and end devices. In this paper, we propose to design and implement a distributed fog caching architecture for Content-Centric Networking (CCN). Such an architecture consists of sensor sub-networks connected to one or more fog nodes that manage the internal caching policy and the interactions with fog nodes for efficient content caching and retrieval. Through extensive simulations, we show that our strategy achieves better results compared to existing strategies in terms of energy consumption, cache hit ratio, network congestion, and user satisfaction rate.

关键词： Fog computing Wireless sensor networks (WSN) Content-Centric Networking (CCN) Caching

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A Soft Sensing Approach for Efficient Monitoring of Nanobody-Based Scorpion Antivenom Production 21st

A Soft Sensing Approach for Efficient Monitoring of Nanobody...

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21st international Symposium on distributed computing and Artificial Intelligence

作者： Acosta-Pavas, Juan C. Corrales, David Camilo Martinez-Menendez, Irene Villela, Susana Maria Alonso Bouhaouala-Zahar, Balkiss Georgakilas, Georgios K. Mexis, Konstantinos Xenios, Stefanos Dalamagas, Theodore Kokosis, Antonis O'donohue, Michael Fillaudeau, Luc Aceves-Lara, Cesar A. Univ Toulouse CNRS TBI INRAINSA Toulouse France INRAE UMS 1337 TWB 135 Ave Rangueil F-31077 Toulouse France Inst Pasteur Tunis Lab Biomol Venins & Applicat Theranost LBVAT 13 Pl PasteurBP-741002 Belvedere Tunis Tunisia Univ Tunis El Manar Fac Med Tunis 15 Rue Djebel Lakhdhar Bab Saadoun Tunis 10007 Tunisia Athena Res Ctr Maroussi Greece Natl Tech Univ Athens Sch Chem Engn Iroon Polytechneiou 9 Zografos 15780 Athens Greece

ISBN: (纸本)9783031820724;9783031820731

The growing demand for recombinant-based products has increased rapidly in recent years. One of the current market scopes is the production of recombinant scorpion antivenoms in E. coli. However, there are limitations in real-time quantification of Critical Quality Attributes (CQAs), such as recombinant proteins or biomass concentrations. Soft sensors merge as an alternative to solve this problem. In this work, six data-driven soft sensors were developed for online monitoring of the recombinant protein concentration. First, feature selection methods were tested to determine the relevant online variables to train the soft sensors. Then, the protein experimental dataset was augmented using a hybrid model. The K-Nearest Neighbors (KNN), and the Radial Basis Function (RBF) Support Vector Machine (SVM) obtained the best results with R-2 values higher than 0.996, RMSE and MAE values less than 0.058 and 0.051. However, the KNN soft sensor was computed in less time than the RBF SVM soft sensor. These results show the feasibility of KNN and RBF soft sensors for real-time monitoring of recombinant scorpion antivenoms.

关键词： Process Monitoring E. Coli Antivenom Production Machine learning Data-Driven Soft sensor Feature Selection

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Fault-tolerant iterative learning control of distributed systems via reservoir computing 63

Fault-tolerant iterative learning control of distributed sys...

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63rd ieee conference on Decision and Control, CDC 2024

作者： Patan, Krzysztof Patan, MacIej University of Zielona Góra Institute of Control and Computation Engineering Poland

ISBN: (纸本)9798350316339

Fault-tolerant control for a wide spectrum of lumped processes is well established. Therefore, there is strong interest in developing designs that would produce similar flexibility for classes of distributed-parameter systems. This paper develops an iterative control design for application to repetitive systems capable of effective actuator fault accommodation using the echo-state neural network. The spatio-temporal dynamics in a multidimensional domain are reconstructed based on the measured system response, then the control is applied via an actuating field using a specific sensor/actuator network. Imposing a proper partitioning of the spatial domain, it is possible to delegate the complex system dynamics to an echo-state network with a dedicated structure. Then, the fault-tolerant control design is embedded into an iterative learning control scheme driven by measurement data to properly update the control inputs to adapt to possible actuator fault states. The new design is applied to displacement control of the elastic plate. © 2024 ieee.

关键词： Integrated circuit design

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Design of the Photoelectric Detection Circuit for a Multichannel Nutrient sensor in Seawater 9

Design of the Photoelectric Detection Circuit for a Multicha...

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9th international conference on Intelligent computing and Signal Processing, ICSP 2024

作者： Zou, Jiahao Wu, Ning Zhang, Shuwei Ma, Haikuan Chu, Dongzhi Shandong Provincial Key Laboratory of Ocean Environmental Monitoring Technology Qingdao266100 China

ISBN: (纸本)9798350376548

Existing nutrient sensors have shortcomings, such as their long measurement cycles (more than 1 h), low sensitivity, and infeasibility for use in vertical profiling systems. To deal with these drawbacks, in the current work, we devised a photoelectric detection scheme for a multichannel nutrient sensor in seawater[1]. The multi-channel detection method is adopted, that is, 5 independent light source driving circuits and 5 independent photoelectric detection circuits work at the same time, so as to realize the multi-channel simultaneous measurement of nutrient salts. The optical signals with stable wavelength and power emitted by 5 LEDs are irradiated to the corresponding circulation pool respectively, and the output optical signals are transmitted to the detection function module in the pressure resistant cabin through the optical water tight connector. All of the photoelectric signals are sent to a high-precision A/D (Analog-to-Digital Converter) unit for synchronous collection after I/V (Current to voltage conversion) and filtering. The concentration of nutrient salt corresponding to the absorbance is then obtained using the Beer-Lambert law. The obtained results indicate that the sensor based on the proposed scheme can reach a detection frequency of 1 Hz. This sensor is superior to the traditional nutrient sensor in terms of its operation in vertical profiling systems, allowing for decreases in sensing time of as much as 90% when compared with traditional instruments. The greatest advantage of the proposed sensor scheme is that it can be broadly used in vertical profiling systems for deep-sea investigation and research. © 2024 ieee.

关键词： Seawater

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Multiple Early-Exits Strategy for distributed Deep Neural Network Inference 19

Multiple Early-Exits Strategy for Distributed Deep Neural Ne...

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19th Annual international conference on distributed computing in Smart systems and the Internet of Things, DCOSS-IoT 2023

作者： Sbai, Marion Trigoni, Niki Markham, Andrew University of Oxford Department of Computer Science Oxford United Kingdom

ISBN: (纸本)9798350346497

Existing work on multi-camera network mainly focused on centralized systems, the role of the cameras being limited to capture images and send them to the cloud. However, this approach is impractical when the network connection is limited or variable. Our methodology distributes DNN inference across multiple edge clients and the cloud using early-exits and bottlenecks for time and accuracy requirements. In limited communication scenarios like LoRa, our solution improves average latency by 80 % compared to traditional cloud solutions. © 2023 ieee.

关键词： Deep neural networks

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Performance Characterization and Provenance of distributed Task-based Workflows on HPC Platforms

Performance Characterization and Provenance of Distributed T...

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

作者： Gueroudji, Amal Phelps, Chase Islam, Tanzima Z. Carns, Philip Snyder, Shane Dorier, Matthieu Ross, Robert B. Pouchard, Line C. Argonne National Laboratory United States Texas State University United States Sandia National Laboratories United States

ISBN: (纸本)9798350355543

Understanding performance and provenance of task-based workflows poses significant challenges, particularly in distributed configurations where resources are shared by multiple applications. Task-based workflow management systems further complicate performance predictability because of their dynamicity that subtly alters task execution order from run to run. In this paper we propose a layered characterization framework for performance and task provenance for *** workflows running on high-performance computing (HPC) platforms. It collects data from jobs, the workflow management system, and the operating system to aid in understanding the performance of these workflows. Our approach encompasses three main contributions: first, an extension of *** to capture high-fidelity task provenance using Mochi data services;second, the adaptation of the established HPC I/O characterization tool Darshan to gather high-fidelity I/O data, thereby enhancing the granularity of our analysis;and third, a framework to combine and process the collected data and provide helpful insights into performance characterization and reproducibility, alongside our lessons learned. © 2024 ieee.

关键词： Dask High-performance computing (HPC) performance characterization performance reproducibility performance variability provenance task-based workflows

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Potential Possibilities of Voice Pattern Recognition by a distributed Fiber Optic sensor 23rd

Potential Possibilities of Voice Pattern Recognition by a Di...

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23rd international conference on Next Generation Wired/Wireless Networks and systems (NEW2AN) / 16th conference on Internet of Things and Smart Spaces (RuSMART)

作者： Gubareva, Olga Yu Dashkov, Michael V. Makarov, Igor S. Gureev, Vladimir O. Evtushenko, Alexander S. PovolzhskiyState Univ Telecommun & Informat Lva Tolstogo 23 Samara 443010 Russia

ISBN: (纸本)9783031609930;9783031609947

Currently, ensuring information security (IS) is one of the priorities of a state's national policy. One of the most important tasks of IS is the precise identification of users within information systems. Biometric methods of identification and authentication are considered the most reliable. To address the challenge of identifying a user's identity based on acoustic signals, the utilization of existing fiber-optic communication lines with installed vibro-acoustic monitoring systems at the controlled facility has been proposed.

关键词： fiber-optic communication lines vibro-acoustic monitoring systems security mel frequency cepstral coefficients

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Middleware Architecture for Microservices based distributed System 13

Middleware Architecture for Microservices based Distributed ...

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13th international conference on Cloud computing, Data Science and Engineering, Confluence 2023

作者： Dubey, Prakhar Srivastava, Divyanshu Singh, Kunal Singh, Veenu Amity University Department of Computer Science and Engineering Uttar Pradesh Noida India

ISBN: (纸本)9781665462631

This research aims to propose a middleware architecture for efficient and secure communication between different microservices in a distributed system. In today's world, the user's expectation of software has dramatically increased due to technical advancements in hardware and software technologies. To stand with these advancements, new types of architectures and designs are created for implementation at each level of the software development lifecycle. Nowadays, large-scale industry-standard software is generally based on distributed cloud architecture where multiple autonomous systems are connected centrally, and the code base of the entire application is divided into these systems. The division of the code base is usually done based on microservice architecture and the transfer of instructions and data between them is controlled through a centrally managed domain policy through middleware. We are proposing an advanced producer-consumer model of middleware architecture which will deal with the communication and management of data among these microservices. © 2023 ieee.

关键词： Middleware

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A Fault-tolerant Control Method for USV Trajectory-tracking with sensor Faults

A Fault-tolerant Control Method for USV Trajectory-tracking ...

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2023 ieee international conference on Real-Time computing and Robotics, RCAR 2023

作者： Guo, Weilun Li, Weimin Wu, Xinyu Wang, Haibin Mu, Xinxing Wang, Qiang Xu, Yi Shandong Zhongke Advanced Technology Co. Ltd Jinan250098 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen518055 China

ISBN: (纸本)9798350327182

This paper studies the trajectory tracking problem of the unmanned surface vehicle with sensor deviation faults. Firstly, the trajectory tracking controller based on model predictive control is designed according to the physical characteristics of the unmanned vehicle system. Moreover, an event trigger mechanism is explored in the controller to reduce the waste of computing resources. Then, a H∞ fault estimator is designed to accurately estimate the value of sensor deviation faults. Finally, the influence of sensor faults on the designed controller is analyzed. At the same time, the faults information was used for improving the tracking performance. The proposed trajectory tracking method with the fault-tolerant algorithm is verified by simulation examples. © 2023 ieee.

关键词： Controllers

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