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

共 30822 条记录，以下是1741-1750 订阅

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The Influence of Wartime on distributed Team - Challenges, Leadership, Development: Ukraine Case 12

The Influence of Wartime on Distributed Team - Challenges, L...

引用

12th ieee international conference on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications, IDAACS 2023

作者： Wolff, Carsten Verenych, Olena Turchaninova, Kateryna Dortmund University of Applied Science and Arts Dortmund44139 Germany Kyiv National University of Construction and Architecture Kyiv03037 Ukraine

ISBN: (纸本)9798350358056

The technological development of the last few years has made a contribution to the form of the work. The tendency to development of work environmental with features that are like those in real life has gone mainstream. The COVID-19 World Pandemic increased the rapidity of implementing these new environmental policies in businesses. Moreover, globalization and sustainability principles allow businesses to be more intercultural and more responsible for the environment. The approach to creating remote work is 'it' thing in business now. There are enough researcher results that evaluate the impact of remote work on teamwork. They marked merits and demerits and lightened the main changes in competencies as a leader and a team member by offering some time management and psychological approaches for organization and supporting high productivity during work time. However, russian aggression Ukraine, which has been starting since 2014 and received the second active phase on February 24, 2022, influenced the remote work. The business routine got new challenges. This paper is the first step toward understanding how a war can influence a team member and how it can influence remote work: Ukraine case. The main research questions that were formulated for this research were: (1) how much influence the war has on remote work;(2) if there has been a change in the team development model;and (3) how much influence the war has had on leadership competencies. The research was based on literature reviews and the authors' own experience. © 2023 ieee.

关键词： distributed team project management remote work Tuckman Model wartime

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An O(1)-rounds Deterministic distributed Approximation Algorithm for the Traveling Salesman Problem in Congested Clique

An O(1)-rounds Deterministic Distributed Approximation Algor...

引用

international conference on distributed computing in sensor systems (DCOSS)

作者： Parikshit Saikia National Institute of Technology Silchar Assam India

ISBN: (数字)9798350369441

ISBN: (纸本)9798350369458

We study the Traveling Salesman Problem (TSP) in the Congested Clique Model (CCM) of distributed computing. We present a deterministic distributed algorithm that computes a tour for the TSP using O(1) rounds and O(m) messages for a given undirected weighted complete graph of n nodes and m edges with an approximation factor 2 of the optimal. The TSP has wide applications in logistics, planning, manufacturing and testing microchips, DNA sequencing etc., and we claim that our proposed O(1)-rounds approximation algorithm to the TSP, which is fast and efficient, can also be used to minimize the energy consumption in Wireless sensor Networks.

关键词： Wireless sensor networks Sequential analysis Traveling salesman problems Approximation algorithms Planning Manufacturing Internet of Things

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Performance Analysis of distributed Deep Learning using Horovod for Image Classification 6

Performance Analysis of Distributed Deep Learning using Horo...

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6th international conference on Intelligent computing and Control systems, ICICCS 2022

作者： Rakshith, R.M. Lokur, Vineet Hongal, Prateek Janamatti, Vivek Chickerur, Satyadhyan KLE Technological University School of Computer Science and Engineering Hubballi India KLE Technological University Centre for High Performance Computing Hubballi India

ISBN: (纸本)9781665410359

Recent advances in unsupervised feature learning and deep learning methodologies have shown that training large models may significantly improve performance. This research study reviews the topic of training a deep neural network in a distributed manner. The proposed study uses the Horovod to train large models on compute clusters with thousands of computers. It can be viewed that the image classification and segmentation are computationally expensive jobs, with more segmentation. Lower-level tasks may be fine-tuned for enhanced efficiency, but the study demonstrates that the proposed research study can work better and more effectively in categorization by exploiting the distributed deep learning idea. The proposed study demonstrate the application of Horovod on Image classification using CNNs, and our works serve as a benchmark for performance analysis on standard datasets;CIFAR 10 and Cat Vs Dog. © 2022 ieee.

关键词： Image classification

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Research on Multi-robot Pursuit Control Based on distributed Intelligent Algorithm

Research on Multi-robot Pursuit Control Based on Distributed...

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2023 ieee international conference on Control, Electronics and Computer Technology, ICCECT 2023

作者： Zhang, Xu Wang, Xianli Zhang, Lili Luoyang Normal University College of Physics and Electronic Information Luoyang471934 China

ISBN: (纸本)9798350399028

The coordinated control of multi-robot systems is a hot research topic in robot control in recent years. This paper mainly focuses on the coordinated control of multi-robot pursuit and evasion task, and analyzes the motion strategy of both sides in the obstacle environment. Firstly, a task allocation model based on distribution is established. Secondly, the pilot-following method is used to determine the formation pursuit strategy of the pursuit robots, and the moving target points of the pursuit robots are solved in the barrier-free environment based on differential games. Finally, the obstacle avoidance angle is analyzed and calculated according to the sensor information, and the real-time motion strategy of each robot is obtained by combining the fuzzy logic algorithm. The simulation results show that the distributed intelligent fusion algorithm can complete the pursuit task in real time efficiently, and the pursuit robot can maintain a certain formation during the pursuit process. The research results are not only applicable to the problem of multi-robot pursuit, but also have certain reference significance for the analysis of pursuit tasks in UAV and military field. © 2023 ieee.

关键词： Fuzzy logic

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Implementation of a distributed Control System 29

Implementation of a Distributed Control System

引用

29th ieee international conference on Electronics, Electrical Engineering and computing, INTERCON 2022

作者： Ayala Cabrera, Stefano Rojas-Moreno, Arturo Electronics and Mechatronics Department Lima Peru

ISBN: (数字)9781665486361

ISBN: (纸本)9781665486361

A DCS (distributed Control System) allows the integration of equipment from different brands to implement automation tasks. This work develops and implements a multi-purpose DCS for academic purposes that integrates Siemens and Rockwell Automation equipment by means of an OPC (OLE for Process Control) server, where OLE is an acronym meaning Object Linking and Embedding. OPC is the standard for industrial communication technology, which allows the exchange of information between multiple devices and control applications without restrictions or limits imposed by manufacturers. To demonstrate the capabilities of the implemented DCS, three successful control strategies were implemented simultaneously: ratio control, cascade control, and decentralized control. The corresponding experiments were implemented in the Automation Lab of UTEC (Universidad de Ingeniería y Tecnología) using industrial PID (Proportional Integral Derivative) algorithms. © 2022 ieee.

关键词： distributed parameter control systems

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Energy Harvesting Integrated sensor Node Architecture for Sustainable IoT Networks 5th

Energy Harvesting Integrated Sensor Node Architecture for S...

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5th international conference on Advances in distributed computing and Machine Learning, ICADCML 2024

作者： Gopikrishnan, S. Kokila, M. Rivera, Marco Wheeler, Patrick School of Computer Science and Engineering VIT-AP University Andhra Pradesh Amaravati522237 India Power Electronics Machines and Control PEMC Research Group University of Nottingham Nottingham United Kingdom Universidad de Talca Curicó Chile

ISBN: (纸本)9789819735228

Internet of Things (IoT) is a life changing technology which is build on various devices which are connected to the Internet. Wireless sensor nodes (WSN) is one of such devices which plays a major role in deploying IoT in large scale of real-time even monitoring applications. But the energy limitations of those sensor nodes limits the features of IoT networks. Hence improving the energy limitations in WSN plays a vital role in last decade. This chapter presents the possibilities of enhance the energy limitations of sensor nodes with renewable energy resources. The proposed integrated architecture of this proposed model discusses the implementation of sensor node with flexible solar energy harvester module, multi mode communication capability and multi sensor data module. The special contribution in this chapter includes the hardware specification with budget analysis, sleep-awake strategy to effective use of energy and maximum possible data collection from the environment. The novelty and improvement of the proposed model has been proved with mathematical model as well as the real-time measurements from the prototype. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Solar energy

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Simulation of distributed systems in Constrained Environments Using ESDS: the Arctic Tundra Case

Simulation of Distributed Systems in Constrained Environment...

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ieee/ACM Int'l conference on & Int'l conference on Cyber, Physical and Social computing (CPSCom) Green computing and Communications (GreenCom)

作者： Loic Guegan Issam Raïs Department of Computer Science UiT The Arctic University of Norway Tromso Norway

Studying distributed systems (DS) is important. They are used in many computer systems such as Internet of Things (IoT), Wireless sensor Networks (WSN), Cyber-Physical systems (CPS). Conducting research studies on DS is possible with simulation. However, depending on the research context, having access to the proper simulator is challenging. Existing simulation frameworks can be complex and not suitable to study DS outside of commonly seen contexts, such as systems deployed in constrained environments. Often, authors from state of the art rely on building their own simulator. This is a time consuming, delicate and dangerous approach, especially when such simulators are not *** paper presents the Extensible Simulator for distributed systems (ESDS) in the context of systems deployed in constrained environments. In our case, the Arctic Tundra. This simulation framework is simple to use and suitable for the study of DS. The architecture of the simulation framework is detailed at a fine grain level. Results show that, ESDS can be used to conduct energy consumption and network performance studies of distributed systems such as CPS.

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Tiny Time-Series Transformers: Realtime Multi-Target sensor Inference At The Edge

Tiny Time-Series Transformers: Realtime Multi-Target Sensor ...

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ieee international conference on Omni-Layer Intelligent systems (ieee COINS)

作者： Becnel, Tom Kelly, Kerry Gaillardon, Pierre-Emmanuel Univ Utah Dept Elect Engn Salt Lake City UT 84112 USA Univ Utah Dept Chem Engn Salt Lake City UT 84112 USA

ISBN: (数字)9781665483568

ISBN: (纸本)9781665483568

Large-scale wireless sensor networks have become an invaluable tool for dense spatiotemporal modeling of urban air pollution. When coupled with complex nonlinear regression schemes, they become an unparalleled tool capable of dynamic, autonomous sensor calibration as well as completely latent parametric inference. In this work we present T-3 : The Tiny Time-Series Transformer, a hard-shared multi-target deep neural network based on the Transformer Encoder architecture and designed for multivariate realtime inference at the edge of large-scale environmental sensor networks. We demonstrate our approach by deploying T-3 to an active pollution monitoring network, where it is tasked with the multi-target output of calibrated particulate matter and temperature, as well as the latent inference of tropospheric ozone, using fused time-series measurements from the onboard sensors as input. We show that T-3 greatly outperforms classical linear regression techniques while matching accuracy of current state-of-the-art nonlinear regression architectures at a fraction of the footprint size.

关键词： air pollution environmental sensor network internet-of-things transformers edge computing multivariate multi-target time-series inference

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A Systematic Analysis of Research Trends on Network Control System in Wireless sensor Network 8

A Systematic Analysis of Research Trends on Network Control ...

引用

8th international conference on Advanced computing and Communication systems, ICACCS 2022

作者： Paul, Subhra Prosun Aggarwal, Shruti Chandigarh University Department of Computer Science and Engineering Punjab Gharuan India

ISBN: (纸本)9781665408165

In the present world, wireless sensor network-enabled network control system is performing a significant role in science, technology, and our day-to-day life. The Network control system in wireless sensor network has a great contribution in modern technology-oriented lifestyle and is bringing control to engineers in communicating network system through various applications. Though network control system is facing different challenges like latency, security, and multiple accesses, it is widely accepted for the successful communication and effective data transmission process. In this research paper, we are trying to explain generally the research aspect, trends, and variation of research directions through comparative analysis of existing research work and scientometric analysis on network control systems in the wireless sensor networks. With the help of the Scopus database and Web of Science database separately, some assessments were performed to analyze research data. From different experiments, it is noticed that network control systems can be applied in different fields like environment, agriculture, home applications, traffic control, health, aircraft, and motor control system using a wireless sensor networks. Observing in the last twenty years of research works in this field, we have found that network control system in wireless sensor networks is increasingly become a talented topic in the communication and networking field. © 2022 ieee.

关键词： Database systems

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Optimized Scheduling for Guard Bands Reduction in Time-Sensitive Networking 24

Optimized Scheduling for Guard Bands Reduction in Time-Sensi...

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24th ieee international conference on High Performance computing and Communications, 8th ieee international conference on Data Science and systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Pan, Zexian Deng, Qingxu Feng, Zhiwei Lin, Yuhan Xia, Changqing School of Computer Science and Engineering Northeastern University China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9798350319934

In ieee 802.1Q with Time-Sensitive Networking (TSN) extension, the timing constraint is enforced by providing deterministic transmission policies when both Real-Time (RT) and Non-Real-Time (NRT) streams are transmitted. The transmission of non-preemptive NRT streams may, however, unexpectedly intrude into the next time slice of RT streams, thus jeopardizing RT streams' timing constraints. Guard bands are therefore introduced to prevent such negative influence by inserting a duration in front of every time slice that contains RT streams, but one major disadvantage is wasting bandwidth in resource-limited networks. Several methods have been proposed to reduce guard bands by aggregating time slices to tackle the above problem. However, there is still room for improvement in reduction. Therefore, this paper proposes an optimized TSN scheduling synthesis for RT streams in ieee Standard 802.1Qbv with a global perspective to efficiently reduce guard bands. We add a constraint to avoid creating extra guard bands during scheduling generation and an objective function to minimize the maximum number of guard bands. Due to the general constraints and objective function, our proposed method can also apply to streams with multiple periods. In the performance evaluation, we show that the proposed approach effectively reduces guard bands while achieving an average improvement of up to 38.6% against the state-of-the-art. © 2022 ieee.

关键词： ieee Standards

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