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

共 30780 条记录，以下是1441-1450 订阅

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Analysis of the Surface Water Quality in the State of Karnataka using distributed Platform 9

Analysis of the Surface Water Quality in the State of Karnat...

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9th international conference on Advanced computing and Communication systems, ICACCS 2023

作者： Dasu, Shravya Shobha, G. Shetty, Jyothi RV College of Engineering Dept of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350397376

Water, one of the essential substances for life on earth is crucial for humans, plants and animals. Regular testing and monitoring of water quality is essential to ensure its safety for consumption. This process includes measuring physical and chemical parameters such as PH, total dissolved solids (TDS) etc. Herein, surface water quality in Karnataka, India was analyzed over 40 years. In order to analyze the large amount of data collected, high performance computing cluster (HPCC) systems was used. Biochemical oxygen demand (BOD) predictive model was built using linear regression. Additionally, a potability classification model was built using the random forest classifier algorithm. These algorithms are present in the LinearRegression and LearningTrees bundle provided by HPCC systems. Finally, a graphical visualization of water quality in four basins over time was performed with the Visualizer bundle. This was done to understand the improvement or degradation of water quality. The analysis was performed on a single node and an 8-node cluster respectively. In comparison with the former, the latter had a shorter execution time. © 2023 ieee.

关键词： Water quality

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distributed Decision Making Enabled by the Arrowhead Framework 5

Distributed Decision Making Enabled by the Arrowhead Framewo...

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ieee 5th international conference on Industrial Cyber-Physical systems (ICPS)

作者： Gallardo, Carlos Bocanegra Moder, Patrick Ehm, Hans Supply Chain Engn Innovat Infineon Technol AG Neubiberg Germany

ISBN: (纸本)9781665497701

Democratic decision making processes play a crucial role in any society, but also in organizations, especially those containing large interest groups and distributed stakeholders. Likewise, digitalization is at the forefront among companies in recent years. This study captures the development of a digital voting system with convincing performance, as a response to the requirements for such a solution that evolved from the case company on hand. We deploy the service-oriented architecture described in the Arrowhead Framework for a wearable device, equipped with a barometric pressure sensor (to capture the height) and the ESP8266 microcontroller to process data and calculate voting results. We validate the proposed approach by comparing its capabilities in terms of response time, user-friendliness and distributivity against a conventional version to demonstrate performance advantages. We find that by integrating the Arrowhead Framework, a distribution decision making solution is feasible, which serves as proof of concept for the case company we are collaborating with. In essence, it (i) reveals implications for managers that service-oriented architecture is a promising cornerstone for distributed connectivity, and (ii) provides initial guidance for developers, how such distributed democratic decision making may be set up in practice.

关键词： service-oriented architecture internet of things application of industrial cyber-physical systems

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Wireless sensor Networks in Precision Monitoring of Crops

Wireless Sensor Networks in Precision Monitoring of Crops

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2022 international conference on Sustainable computing and Data Communication systems, ICSCDS 2022

作者： Vedaiyan, Ramchand Raj, R. Joshua Samuel V L, Helen Josephine Jain Deemed to Be University School of Sciences Department of Computer Science and It Bangalore India Cmr Institute of Technology Department of Ise Bengaluru India School of Business and Management Christ University Business Analytics Bengaluru India

ISBN: (纸本)9781665478847

The sensor-based breadboard is rapidly covering almost every application from human health monitoring to prediction of diseases in accordance with the weather change. This paper presents a sensor based precision crop monitoring system for agriculture application and estimates the energy consumption of the sensor nodes. This high accuracy energy efficient system drastically reduces the damages to the crops and investment made to it. The main focus of the proposed research work is to reduce the energy consumption and minimize the traffic between the nodes of the sensor during the transmission of sensor information. The qualitative metrics has been carried to evaluate the performance of the proposed system which outperform the existing scenario. © 2022 ieee.

关键词： sensor nodes

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Delay-aware Model Predictive Control for Fast Frequency Control 14

Delay-aware Model Predictive Control for Fast Frequency Cont...

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14th ieee international conference on Communications, Control, and computing Technologies for Smart Grids, SmartGridComm 2023

作者： Heins, Tobias Glebke, Rene Stoffers, Mirko Gurumurthy, Sriram Heesemann, Jan Josevski, Martina Monti, Antonello Wehrle, Klaus Rwth Aachen University Chair of Communication and Distributed Systems Aachen Germany Institute for Automation of Complex Power Systems Rwth Aachen University Aachen Germany Fraunhofer Fit Aachen Germany

ISBN: (纸本)9781665455541

In secondary frequency control of power systems, measurement data, state information, and control signals must be transmitted over communication networks, where network delays and packet loss may occur. This paper presents a delay- and loss-aware model predictive controller (MPC) for fast frequency control in future power systems. The networked control strategy consists of a time-varying Kalman Filter with a butter, state augmentation of the prediction model, and an actuator function, hence making the controller delay- and loss-aware compared to traditional delay-tolerant or robust control designs. We present a co-simulation setup of a power system and a communication network simulator, where we demonstrate the networked control strategy in a realistic environment. The performance of the proposed control strategy is compared against a Smith Predictor-based PI controller in a microgrid and a transmission system, each supplied by grid-forming inverters, for varying communication network conditions, including different communication technologies and network traffic. © 2023 ieee.

关键词： Model predictive control

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Scalable and Consistent Graph Neural Networks for distributed Mesh-based Data-driven Modeling

Scalable and Consistent Graph Neural Networks for Distribute...

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

作者： Barwey, Shivam Balin, Riccardo Lusch, Bethany Patel, Saumil Balakrishnan, Ramesh Pal, Pinaki Maulik, Romit Vishwanath, Venkatram Transportation and Power Systems Argonne National Laboratory United States Leadership Computing Facility Argonne National Laboratory United States Argonne National Laboratory Computational Science Division United States Pennsylvania State University Information Sciences and Technology United States Mathematics and Computer Science Argonne National Laboratory United States

ISBN: (纸本)9798350355543

This work develops a distributed graph neural network (GNN) methodology for mesh-based modeling applications using a consistent neural message passing layer. As the name implies, the focus is on enabling scalable operations that satisfy physical consistency via halo nodes at sub-graph boundaries. Here, consistency refers to the fact that a GNN trained and evaluated on one rank (one large graph) is arithmetically equivalent to evaluations on multiple ranks (a partitioned graph). This concept is demonstrated by interfacing GNNs with NekRS, a GPU-capable exascale CFD solver developed at Argonne National Laboratory. It is shown how the NekRS mesh partitioning can be linked to the distributed GNN training and inference routines, resulting in a scalable mesh-based data-driven modeling workflow. We study the impact of consistency on the scalability of mesh-based GNNs, demonstrating efficient scaling in consistent GNNs for up to O(1B) graph nodes on the Frontier exascale supercomputer. © 2024 ieee.

关键词： graph neural networks mesh-based modeling

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On the Dynamic Evolution of distributed Computational Aggregates 3

On the Dynamic Evolution of Distributed Computational Aggreg...

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3rd ieee international conference on Autonomic computing and Self-Organizing systems (ACSOS)

作者： Audrito, Giorgio Casadei, Roberto Torta, Gianluca Univ Turin Turin Italy Univ Bologna Cesena Italy

ISBN: (数字)9781665451420

ISBN: (纸本)9781665451420

Engineering and programming approaches for collective adaptive systems often leverage ensemble-like abstractions to characterise a subset of devices as a domain for a given task or computation. In this paper, we address the problem of programming the dynamic evolution of distributed computational aggregates, through neighbour-based coordination. This is a problem of interest, since several situated activities (especially in large-scale settings) require decentralised collaboration, and need to be sustained by limited subsets of devices. These subsets may vary dynamically due to delegation, completion of local contributions, exhaustion of resources, failure, or change in the device set induced by the openness of system boundaries. In order to study and develop how distributed aggregates progressively take form by local coordination, we build on the field-based framework of aggregate processes, and extend it with techniques to support more expressive evolution dynamics. We propose novel algorithms for more effective propagation and closure of the boundaries of dynamic aggregates, based on statistics on the information speed and a notion of progressive closure through wave-like propagation. We verify the proposed techniques by simulation of a paradigmatic case study of multi-hop message delivery in mobile settings, and show increased performance and success rate with respect to previous work.

关键词： field-based coordination collective adaptive systems aggregate processes dynamic ensembles

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Validation of distributed Real-Time Simulations for Decoupled Power System Models 20

Validation of Distributed Real-Time Simulations for Decouple...

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20th ieee international conference on Industrial Informatics (INDIN)

作者： Shen, Zhiwei Arrano-Vargas, Felipe Konstantinou, Georgios UNSW Sydney Sch Elect Engn & Telecommun Sydney NSW Australia

ISBN: (数字)9781728175683

ISBN: (纸本)9781728175683

distributed real-time simulation (D-RTS) has been proposed as an alternative solution for the simulation of large-scale power systems. D-RTS interconnects heterogeneous and remote real-time resources virtually in order to combine and extend their simulation capabilities. A reliable D-RTS framework is necessary to virtually interconnect subsystems and manage simulation data in real time. D-RTS has mainly been implemented to combine standalone models, which only shows the feasibility and increased computing capability. However, the behavior of D-RTS has not been appropriately assessed nor investigated for decoupling models. On this basis, this paper investigates power system model decoupling and verifies its implementation for the purposes of D-RTS. The ieee Australian Benchmark model is used as a case study. The implementation, operation, and performance of the distributed model are benchmarked against its monolithic counterpart. Results validate the simulation of the distributed model under both steady-state and transient operation, demonstrating that power system models can be decoupled in order to perform real-time simulations in a distributed manner under certain conditions.

关键词： Co-simulation distributed real-time simulation (D-RTS) real-time simulation (RTS)

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User Position-Based Wireless sensor Network Deployment Algorithm* 15

User Position-Based Wireless Sensor Network Deployment Algor...

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2022 ieee Congress on Cybermatics: 15th ieee international conferences on Internet of Things, iThings 2022, 18th ieee international conferences on Green computing and Communications, GreenCom 2022, 2022 ieee international conference on Cyber, Physical and Social computing, CPSCom 2022 and 8th ieee international conference on Smart Data, SmartData 2022

作者： Liang, Fan Yuan, Fang Liu, Xing Sam Houston State University Dept. of Computer Science HuntsvilleTX United States University of Baltimore School of Criminal Justice BaltimoreMD United States Towson University Dept. of Computer Science TowsonMD United States

ISBN: (数字)9781665454179

ISBN: (纸本)9781665454179

With the rapid development of Internet of Things (IoT), a huge number of IoT devices are connected to the network, such as sensors, actuators, etc. Generally, IoT adopts various communication techniques, such as 4G, 5G, and WiFi to support communications for all IoT devices, which requires public communication facilities for support. However, how to connect IoT devices in less communication support situation becomes a problem. The Wireless sensor Networks (WSN) are similar to wireless ad hoc networks, it relies on sensors connectivity to create a wireless connection and provide communication service to the covered area. Therefore, WSN as a possible solution can provide flexible wireless networks in areas that have less public communication support. There are many studies that focus on improving the coverage rate of WSN to provide better communication services. Nonetheless, because the users of WSN are highly dynamic and are not evenly distributed in the area, it is difficult to leverage existing algorithms to solve the WSN deployment problem. To this end, in this paper, we propose a user position-based WSN deployment algorithm to address the WSN coverage problem. In detail, we design a coverage model to describe the coverage rate of WSN for dynamic users. Based on the coverage model, we propose an improved Particle Swarm Optimization (PSO) algorithm to obtain the optimal solution for dynamic users. The experimental results confirm that the proposed algorithm can improve the coverage rate for dynamic users, as compared to other representative algorithms. © 2022 ieee.

关键词： Wireless sensor networks

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Feature and Performance Comparison of FaaS Platforms 14

Feature and Performance Comparison of FaaS Platforms

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14th ieee international conference on Software Engineering and Service Science, ICSESS 2023

作者： Ma, Penghui Shi, Peichang Yi, Guodong College of Computer Science National University of Defense Technology National Key Laboratory of Parallel and Distributed Processing Changsha410073 China College of Computer Science National University of Defense Technology Key Laboratory of Software Engineering for Complex Systems Changsha410073 China Xiangjiang Lab Changsha410073 China School of Advanced Interdisciplinary Studies Hunan University of Technology and Business Changsha410073 China

ISBN: (纸本)9798350336269

With serverless computing offering more efficient and cost-effective application deployment, the diversity of serverless platforms presents challenges to users, including platform lock-in and costly migration. Moreover, due to the black box nature of function computing, traditional performance benchmarking methods are not applicable, necessitating new studies. This article presents a detailed comparison of six major public cloud function computing platforms and introduces a benchmarking framework for function computing performance. This framework aims to help users make comprehensive comparisons and select the most suitable platform for their specific needs. © 2023 ieee.

关键词： Benchmarking

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BIBLIOMETRIC REVIEW OF SMART sensor FOR HEALTH MONITORING

BIBLIOMETRIC REVIEW OF SMART SENSOR FOR HEALTH MONITORING

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international conference on Green Energy, computing and Intelligent Technology 2024, GEn-CITy 2024

作者： Halim, Christian V. Marinah, Murti Shafira, Dinda A.I. Dwiyantara, Muhammad Y. Abadi, Imam Department of Physics Engineering Faculty of Industrial Technology and Systems Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781837242689

Smart sensors and medical health technologies are becoming increasingly popular due to their potential for real-time, noninvasive health monitoring and diagnostics. With the integration of Artificial Intelligence (AI), these devices can track vital signs and important biomarkers, supporting the management of chronic diseases. This study employs bibliometric analysis using tools like VOSviewer to map research trends in this domain, identifying collaborations, emerging keywords, and contributions from institutions and countries. Findings indicate a significant increase in publications and citations, especially after 2010, highlighting influential journals such as ieee sensors Journal. The primary focus is on health monitoring applications and advancements in sensor technology, with an increasing use of terms like "machine learning" and "data analytics." These findings provide insights into future research directions and technological innovations that impact medical health applications. It is recommended that future development integrate advanced data processing techniques and apply sensors in infrastructure and smart city environments, aiming to create systems that are more responsive, efficient, and sustainable. © The Institution of Engineering & Technology 2024.

关键词： Electronic health record

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