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检索条件"任意字段=3rd IEEE International Conference on Distributed Computing in Sensor Systems"

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Multi-platform and Multi-sensor Data Fusion Based on D-S Evidence Theory 3

Multi-platform and Multi-sensor Data Fusion Based on D-S Evi...

引用

3rd ieee international conference on Computer and Communication Engineering Technology, CCET 2020

作者： Lei, Zhen Cui, Peizhi Huang, Yanyan Army Armored Force Academy Training Center Beijing China Nanjing University of Science and Technology Automation college Nanjing China

ISBN: (纸本)9781728188119

This paper introduces two common design ideas and data preparation methods of multi-platform collaborative data fusion, and analyzes the application principle of D-S evidence theory in multi-platform collaborative data fusion. By using the advantages of multi-platform collaborative data fusion system, the shortcomings of single platform and single sensor in acquiring target information are solved, with high accuracy and credibility, expanding the scope of space detection, and enhancing the fault tolerance and complementarity of the system. The simulation results verify the effectiveness and practicability of D-S evidence theory in multi-platform collaborative data fusion. © 2020 ieee.

关键词： Fault tolerance

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Quality of Service in Wireless sensor Networks using Cellular Learning Automata 3

Quality of Service in Wireless Sensor Networks using Cellula...

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3rd international conference on computing, Electronics and Communications Engineering (iCCECE)

作者： Alansari, Zainab Anuar, Nor Badrul Kamsin, Amirrudin Belgaum, Mohammad Riyaz Soomro, Safeeullah Majan Univ Coll Muscat Oman Univ Malaya Kuala Lumpur Malaysia Univ Kuala Lumpur Kuala Lumpur Malaysia

ISBN: (纸本)9781728163307

Wireless sensor Networks (WSNs) have different Quality of Service (QoS) parameters from those of traditional networks. Several considerations utilized for evaluating QoS include appropriate number of active nodes, network lifetime, network coverage, and resource utilization. One of the features of Cellular Learning Automata (CLA), besides its simple learning structure, is learning in distributed and multi-hop environments with limited communications and incomplete information. CLA benefit show how different problems in WSNs can be overcome. In this paper, the underlying issues of WSNs are discussed, and in order to improve the QoS parameters, efficient solutions have been proposed using CLA. The WSN 's environmental coverage issue is also addressed by turning off redundant nodes and maintaining adequate nodes to conserve resources and enhance network life. In this research, the issue of clustering of WSNs is addressed and the WSNs are clustered by using CLA to efficiently distribute energy to the network and maximize network life. All provided methods are simulated by J-Sim tools showing the overall reduce in WSN energy consumption and also for each node alone. Moreover, we demonstrate the reduce in data communication overhead and maintaining the overall network coverage. Simulation experiments indicate higher performance of the proposed methods than other associated approaches.

关键词： Wireless sensor Networks Cellular Learning Automata Network Coverage Quality of Service

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IoT and WSNs Technology for Control in the Greenhouse Agriculture - Review

IoT and WSNs Technology for Control in the Greenhouse Agricu...

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international conference on Embedded & distributed systems (EDiS)

作者： Mokeddem Kamal Abdelmadjid Seddiki Noureddine Bourouis Amina Benahmed Khelifa Benahmed Tariq Lairedj Boubakeur dept. of math and computer sciences university of tahri mohamed Bechar Algeria dept. of math and computer sciences university of tamaghasset Tamaghasset Algeria

ISBN: (数字)9798350397543

ISBN: (纸本)9798350397550

Advanced devices, such as artificial intelligence, robots, and the Internet of Things, play an integral part in expanding agricultural output and eco-system efficiency. Greenhouse farming is an agricultural management approach that has proven effective in increasing food output and ensuring sustainability. Technology has been able to tackle the problems of greenhouse farming by helping to overcome its constraints, rectify negative effects, and ensure system sustainability. The purpose of this research is to look at global greenhouse technology research trends in order to determine the technology used and the most noteworthy research lines in the literature. The analysis was conducted using a variety of approaches, both descriptive and inferential. The findings of this study showcase that the domain is essential to worldwide food security and is very active in terms of study. This does not, however, exclude out further innovation and development, which will be the focus of our future efforts.

关键词： Technological innovation Wireless sensor networks Green products Ventilation Agriculture sensors Servers

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NeatSkin: A Discrete Impedance Tomography Skin sensor 3

NeatSkin: A Discrete Impedance Tomography Skin Sensor

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3rd ieee international conference on Soft Robotics (RoboSoft)

作者： Judd, Euan Digumarti, Krishna Manaswi Rossiter, Jonathan Hauser, Helmut Univ Bristol Dept Engn Math Bristol BS8 1TH Avon England Bristol Robot Lab Bristol BS16 1QY Avon England

ISBN: (纸本)9781728165707

In this paper we present NeatSkin, a novel artificial skin sensor based on electrical impedance tomography. The key feature is a discrete network of fluidic channels which is used to infer the location of touch. Change in resistance of the conductive fluid within these channels during deformation is used to construct sensitivity maps. We present a method to simulate touch using this unique network-based, low output dimensionality approach. The efficacy is demonstrated by fabricating a NeatSkin sensor. This paves the way for the development of more complex channel networks and a higher resolution soft skin sensor with potential applications in soft robotics, wearable devices and safe human-robot interaction.

关键词： Human robot interaction

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Research and application of real-time database integration testing method 3

Research and application of real-time database integration t...

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3rd international conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2020

作者： Zhang, Ran Gao, Xuelian Feng, Xi Feng, Wennan Hu, Yi Tang, Xiaoke Beijing Smart-Chip Microelectronics Technology Co. Ltd. China

ISBN: (纸本)9781728181431

Real-time database (RTDB) is a memory database system which requires very high real-time, stability, accuracy and consistency. RTDB is responsible for real-time data collection, data storage, data computing and other data services in a power plant distributed control system (DCS). Therefore, the design quality of the RTDB system is crucial to the development of the entire DCS system. Strict integration testing is one of the important means to ensure the design quality of the power plant DCS RTDB interface, but the traditional database integration testing method is difficult to balance test efficiency and test accuracy. In this paper, a combination integration test method is established for the particularity of RTDB interface design. And through the test of specific projects, it is verified that this method can effectively shorten the testing time under the premise of ensuring the accuracy of the test. © 2020 ieee.

关键词： distributed parameter control systems

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A study on distributed formation control for loitering munition 3

A study on distributed formation control for loitering munit...

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3rd international conference on Unmanned systems, ICUS 2020

作者： Qi, Wang Fei, Yan Zhizhong, Liao China Airborne Missile Academy Luoyang China

ISBN: (纸本)9781728180250

The loitering munition cooperative combat tasks such as target detection, cooperative recognition and real-time damage assessment can be achieved by formation flight, and the combat effectiveness can be improved. The distributed formation control architecture based on virtual leader, allows any number of sub formation leaders to exist in the loitering munition formation, and coordination variables can be transferred between adjacency loitering munition. The formation flight of loitering munition can be realized by using the distributed consensus algorithm with bounded control input. The digital simulation is carried out considering the limited control ability of the loitering munition, the simulation results show that the loitering munition can fly in formation and keep the formation stable. © 2020 ieee.

关键词： Damage detection

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Triggering and Auditing the Event during Intrusion Detections in WSN's Defence Application 3

Triggering and Auditing the Event during Intrusion Detection...

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3rd international conference on Intelligent Sustainable systems, ICISS 2020

作者： Rama Moorthy, H. Harshitha Shet, U. Shetty, Rakshitha D Shrinivasa Avinash, N.J. Krishnaraj Rao, N.S. Shri Madhwa Vadiraja Institute of Technology and Management Department of Computer Science and Engineering Bantakal India Shri Madhwa Vadiraja Institute of Technology and Management Department of Electronics and Communication Engineering Bantakal India Srinivas University Srinivas College of Engineering and Technology Department of Computer Science and Engineering India

ISBN: (纸本)9781728170893

WSNs are extensively used in defence application for monitoring militant activities in various ways in large unknown territories. Here WSNs has to have large set of distributed systems in the form as sensors nodes. Along with security concerns, False Alarming is also a factor which may interrupt the service and downgrade the application further. Thus in our work we have made sure that when a trigger is raised to an event, images can be captured from the connected cameras so that it will be helpful for both auditing the event as well as capturing the scene which led to the triggering of the event. © 2020 ieee.

关键词： Wireless sensor networks

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Optimal Allocation of Wind DG with Time Varying Voltage Dependent Loads Using Bio-Inspired: Salp Swarm Algorithm 3

Optimal Allocation of Wind DG with Time Varying Voltage Depe...

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3rd international conference on computing, Mathematics and Engineering Technologies, iCoMET 2020

作者： Ahmed, Ali Nadeem, Muhammad Faisal Sajjad, Intisar Ali Bo, Rui Khan, Irfan A. University of Engineering and Technology Taxila Department of Electrical Engineering Taxila Pakistan Missouri University of Science and Technology Department of Electrical and Computer Engineering Missouri United States Texas AM University Mar. Eng. Technol. Dept. in A Joint Appointment with Electrical and Computer Engineering Department TX United States

ISBN: (纸本)9781728149707

Increased energy demand puts burden on power system operations and fossils fuel depletion. Renewable distributed Generation (DG) integration in the existing network is an effective way to fulfill the increasing load demand. Optimal allocation of DG critically depends on uncertainty in power generation and time varying voltage dependent (TVVD) load models. This paper presents optimal allocation of wind DG in the distribution system considering probabilistic generation and TVVD load models. Salp Swarm Algorithm (SSA) is implemented for minimization of Multi-objective function comprised of voltage deviation, real and reactive losses and voltage stability indices. The effectiveness of proposed approach is tested on ieee 69-bus and 33-bus systems. Results show that TVVD load models and time varying generation plays an imperative part in DG planning. Further, results also demonstrate the advantage of SSA in terms of better convergence characteristics and less computation time. © 2020 ieee.

关键词： distributed power generation

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Target detection, tracking and threat evaluation in multi sensor system using machine learning 3

Target detection, tracking and threat evaluation in multi se...

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3rd international conference on Intelligent Sustainable systems, ICISS 2020

作者： Rassalna, P. Mishra, Tarun Bharat Electronics Limited Development Engineering Missile Systems Bangalore India

ISBN: (纸本)9781728170893

Air defense is a crucial part of the defense system of any country. Most of the systems in air defense are equipped with multiple sensors for data acquisition. Once the target is detected it is very important to classify the target in order to carry out weapon allocation. This paper proposes a deep learning based SSD (Single Shot Detection) algorithm for the purpose of target detection and classification. This data is combined with data from radar sensor using Hungarian algorithm and then used for tracking. This paper uses IMM filter for the purpose of tracking. Detection, classification and tracking information is then passed to a Bayesian network for threat evaluation © 2020 ieee.

关键词： Bayesian networks

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Research on a distributed Heuristic Algorithm for Generation and Adjustment of Homogeneous Multi-rotor UAVs 3

Research on a Distributed Heuristic Algorithm for Generation...

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3rd international conference on Control and Robots (ICCR)

作者： Shen, Ao Zhou, Shudao Yin, Ming Natl Univ Def Technol Coll Meteorol & Oceanog Nanjing Peoples R China Troop 94303 PLA Nanjing Peoples R China Troop 32021 PLA Beijing Peoples R China

ISBN: (纸本)9781728175621

This paper studies a distributed heuristic algorithm for the generation and adjustment of the formation of homogeneous multi-rotor UAVs to improve the applicability and flexibility of multi-rotor UAV dense formation. Each drone makes an independent decision using a multi-agent framework based on the received satellite positioning, communication information, and obstacle avoidance sensor information. For the motion mode of a multi-rotor UAV, the action decision method in a dynamic environment is selected, avoiding complicated problems such as sensor handover and prejudging the moving trajectory. The Hungarian algorithm is used to match the target positions to improve the formation efficiency. The distance between each drone and each target position as the element in the cost matrix can ensure that the path does not cross, which is used for the first match when forming the team;the cost matrix element is set to the square of the distance, which can be used for formation transformation and dynamic adjustment. Through simulation, it is verified that the algorithm with action decision and target position matching can be used for dense formation of homogeneous multi-rotor UAVs and that the process is safe and efficient.

关键词： multi-rotor UAV dense formation distributed heuristic algorithm action decision Target position matching simulation

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