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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1461-1470 订阅

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EnCoMP: Enhanced Covert Maneuver Planning with Adaptive Target-Aware Visibility Estimation using Offline Reinforcement Learning

EnCoMP: Enhanced Covert Maneuver Planning with Adaptive Targ...

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2024 ieee international conference on Autonomic computing and Self-Organizing systems, ACSOS 2024

作者： Hossain, Jumman Faridee, Abu-Zaher Roy, Nirmalya Asher, Derrik E. Freeman, Jade Gregory, Timothy Trout, Theron Center for Real-time Distributed Sensing and Autonomy Department of Information Systems Baltimore County United States University of Maryland Department of Information Systems Baltimore County United States Amazon Inc. United States DEVCOM Army Research Lab United States Stormfish Scientific Corp. United States

ISBN: (纸本)9798350363876

Autonomous robots operating in complex environments face the critical challenge of identifying and utilizing environmental cover for covert navigation to minimize exposure to potentially harmful targets. We propose EnCoMP, an enhanced navigation framework that integrates offline reinforcement learning and our novel Adaptive Target-Aware Visibility Estimation (ATAVE) algorithm to enable robots to navigate covertly and efficiently in diverse outdoor settings. ATAVE is a dynamic probabilistic target modeling technique that we designed to continuously assess and mitigate potential targets in real-time, enhancing the robot's ability to navigate covertly by adapting to evolving environmental and target conditions. Moreover, our approach generates high-fidelity multi-map representations, including cover maps, potential target maps, height maps, and goal maps from LiDAR point clouds, providing a comprehensive understanding of the environment. These multi-maps offer detailed environmental insights, helping in strategic navigation decisions. The goal map encodes the relative distance and direction to the target location, guiding the robot's navigation. We train a Conservative Q-Learning (CQL) model on a large-scale dataset collected from real-world environments, learning a robust policy that maximizes cover utilization, minimizes target exposure, and maintains efficient navigation. We demonstrate our method's capabilities on a physical Jackal robot, showing extensive experiments across diverse terrains. These experiments demonstrate EnCoMP's superior performance compared to state-of-the-art methods, achieving a 95% success rate, 85% cover utilization, and reducing target exposure to 10.5%, while significantly outperforming baselines in navigation efficiency and robustness. © 2024 ieee.

关键词： Adversarial machine learning

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Balancing Three Important Goals for Runtimes - Isolation, High Performance, and Resource Efficiency 3

Balancing Three Important Goals for Runtimes - Isolation, Hi...

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

作者： Lyu, Xiaosu Wood, Timothy Pena, Luis E. Shamis, Pavel George Washington Univ Washington DC 20052 USA

ISBN: (数字)9781665451420

ISBN: (纸本)9781665451420

Much of today's software executes inside of Runtimes, which are software platforms that manage and run code submitted by other developers. Isolation, high performance and resource efficiency are three important goals for a Runtime. However, existing Runtimes cannot meet all of these goals simultaneously. In my thesis, I will explore the trade-offs between these goals and how to provide autonomous system support to maximize them in three important environments.

关键词： Isolation high performance resource efficiency Serverless distributed big data applications NFV

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Hybrid Cat-Artificial Fish Swarm Based Node Deployment Optimization in Intelligent Transportation IoT 19

Hybrid Cat-Artificial Fish Swarm Based Node Deployment Optim...

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2022 ieee SmartWorld, 19th ieee international conference on Ubiquitous Intelligence and computing, 2022 ieee international conference on Autonomous and Trusted Vehicles conference, 22nd ieee international conference on Scalable computing and Communications, 2022 ieee international conference on Digital Twin, 8th ieee international conference on Privacy computing and 2022 ieee international conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022

作者： Yi, Lingzhi Luo, Bin Zhu, Chenlu Deng, Xianjun Xia, Yunzhi Wu, Hengshan Zhongnan University of Economics and Law School of Information and Safety Engineering Wuhan430073 China University of South China School of Civil Engineering Hengyang421001 China Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan430074 China Hubei Chutian Expressway Digital Technology Co. Ltd Wuhan430074 China

ISBN: (纸本)9798350346558

The integration of Internet of Things (IoT)-based highway bridge structural health monitoring (HBSHM) and intelligent transportation systems (ITS) plays an essential role in detecting damage for large and complex bridge structures. The HBSHM provides ITS with bridge health condition information for real-time traffic management. The ITS provides HBSHM with the required traffic data to improve the HBSHM system's accuracy and reliability. Node deployment optimization (NDO) is critical in HBSHM as sensor node deployment directly affects the quality of collected data. To better solve the NDO problem in HBSHM, a novel hybrid cat-artificial fish swarm algorithm (CAT-AFSA) based on the Artificial Fish Swarm Algorithm (AFSA) and Cat Swarm optimization (CSO) is proposed in this paper. The algorithm introduces seeking and tracing behaviors of CSO into AFSA, which effectively expands the search space of artificial fish and reduces the blind search of it. The performance of the CAT-AFSA is first tested using four benchmark functions, and then its validity and feasibility for the NDO are verified using an engineering example. The simulations demonstrate that the CAT-AFSA has better search performance and computational efficiency compared with the AFSA and CSO. The CAT-AFSA has a broad application prospect in the field of NDO in civil engineering. © 2022 ieee.

关键词： Intelligent systems

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Anomaly Detection Approach for sensor Networks in Coal Mine Solid Backfilling Working Faces Based on Transformer 4

Anomaly Detection Approach for Sensor Networks in Coal Mine ...

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4th international conference on Information Science, Parallel and distributed systems, ISPDS 2023

作者： Yang, Shangqing Bo, Lei Zhang, Zihang Liu, Yang Beijing China

ISBN: (纸本)9798350337181

In this paper, we propose a comprehensive anomaly detection model for the perception system of backfilling working faces. The model consists of three main components: the position encoding module, the time series prediction module, and the anomaly detection module. The position encoding module extracts global temporal information, including year, month, and day, based on the timestamp information of the data. The time series prediction module utilizes the Temporal Fusion Transformers model, which considers the latent correlations among different variables for accurate predictions. The anomaly detection module assesses the data's abnormality by comparing the predicted values with the actual values. We validate the performance of the model on a real-world dataset, demonstrating its high accuracy and strong generalization capabilities for various types of sensor data in backfilling working faces. This research provides a viable solution for anomaly monitoring and management in backfilling operations, with significant practical implications. © 2023 ieee.

关键词： Anomaly detection

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A Fine-grained volley gesture recognition method with Direction Independence 23

A Fine-grained volley gesture recognition method with Direct...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Hao, Zhanjun Liu, Gaoyuan Dang, Xiaochao Zhang, Daiyang Bai, Yanhong Xu, Hongwen Northwest Normal University School of Computer Science and Engineering LanZhou China

ISBN: (纸本)9781665494571

The development of wireless sensing technology makes it possible to control various IoT devices with gestures. In the current severe international epidemic situation, the use of non-contact gesture recognition methods can greatly reduce direct or indirect contact between people and effectively curb the spread of the virus. However, since the direction, position, and motion range of each person's gesture are different, it brings great challenges to the accurate recognition of gestures. To solve this problem, this paper proposes a direction-independent fine-grained volley gesture recognition method CSI-VGR based on Wi-Fi signal sensing technology. CSI-VGR first converts the CSI signal of a gesture into a Doppler shift. In particular, CSI-VGR uses a temporal convolutional network (TCN) to segment the gesture action and extract the features of each gesture. Finally, the Echo State Network (ESN) is introduced, and the gesture feature is input to obtain the classification result of the gesture. This paper verifies the performance of CSI-VGR in multiple dimensions in two real scenarios. Experimental results show that the gesture recognition accuracy of the CSI-VGR method can reach 96.3%, and it shows satisfactory robustness in both scenarios. © 2021 ieee.

关键词： Wireless communication Wireless sensor networks Smoothing methods Convolution Gesture recognition Interference Feature extraction

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Cutting-Edge Solutions Exploring the Experimental Possibilities of Route Optimization with Wireless sensor Networks

Cutting-Edge Solutions Exploring the Experimental Possibilit...

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2024 international conference on Innovative computing, Intelligent Communication and Smart Electrical systems, ICSES 2024

作者： Kumar, K. Ashok Muthumari, P. Revathi, V. Sujatha, V. Radhamani, V. Kumar, G. Praveen Sri Ramakrishna College of Arts and Science Department of Ece Coimbatore India KarpagaVinayaga College of Engineering and Technology Department of Eee Chengalpattu India Vel tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College Department of Information Technology Chennai India S.A. Engineering College Department of Mca Chennai India Rajalakshmi Engineering College Department of Ece Chennai India St.Joseph's Institute of Technology Department of Information Technology OMR Chennai600119 India

ISBN: (纸本)9798331543617

One of the major developments in the field of wireless communication over the last several decades has been the rise of wireless sensor networks (WSN), which are networks of inexpensive, power-limited devices. Although they are essential for data transmission, sensor nodes have a finite quantity of power. Energy is lost while the transfer is happening. The primary difficulties of a WSN are, then, energy consumption and the longevity of the network. The ideal route between source and destination nodes, in which it will maximize energy saving in a network, has been the subject of much research in recent years as well as making a routing algorithm that accounts for the two main concerns reducing energy usage and increasing network lifetime is the real problem. There are a number of improvement methods that may be used to find a routing path from one node to another. Both the dynamically efficient routing method and power management techniques have attracted a lot of interest from researchers for their ability to lower the energy consumption of sensor nodes on an individual basis. In this research, a new approach is suggested called Novel Network Optimization Protocol (NNOP). Its purpose is to find and set up the shortest path between two sensor nodes, with the distance being the metric of evaluation. Compared to NNOP performance under the identical conditions as well as the conventional routing model called Dynamic Source Routing (DSR), the findings obtained from Matlab simulation demonstrated superior performance in energy conservation. This enhanced routing method has potential for usage in WSN-based industrial applications. © 2024 ieee.

关键词： MATLAB

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distributed Nash Equilibrium Seeking Under Dynamic Event-Triggered Mechanism Without Velocity Measurement

Distributed Nash Equilibrium Seeking Under Dynamic Event-Tri...

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2023 international conference on Neuromorphic computing, ICNC 2023

作者： Wang, Mengxin Han, Xiaoni Qin, Sitian Xue, Yuhan Department of Mathematics Weihai264209 China Harbin Institute of Technology School of Management/School of Economics and Management Harbin150001 China

ISBN: (纸本)9798350316889

In this paper, the noncooperative game with second-order nonlinear systems is studied. To seek the Nash equilibrium (NE) for each player with second-order nonlinear dynamics, a distributed NE seeking algorithm is proposed. Therein, considering the difficulty of obtaining velocity information in the real physical system, this paper adopts the filter-based method that utilizes the single-layer velocity observation system to quickly obtain the accurate speed estimation information of the player, so as to reduce the system cost. At the same time, to make reasonable use of communication resources and reduce communication overhead among players, a dynamic event-triggered mechanism driven by inner variable is provided. It avoids Zeno-behavior while achieving NE seeking. Finally, the effectiveness and feasibility of the proposed algorithm are demonstrated through an instance of multi-unmanned aerial vehicle (UAVs) systems. © 2023 ieee.

关键词： Antennas

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PropS: Towards Proprioception in Cyber-Physical Production systems by Means of Collaborative Localization 16

PropS: Towards Proprioception in Cyber-Physical Production S...

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16th Annual ieee international systems conference (SysCon)

作者： Klein, Jan-Felix Enke, Constantin Ries, Maximilian Karlsruhe Inst Technol Inst Mat Handling & Logist Karlsruhe Germany

ISBN: (纸本)9781665439923

Cyber-physical production systems (CPPS) are a key concept of Industry 4.0 in which heterogenous assets collaborate by sharing data via a network. In this paper we conceptualize and implement PropS, a proprioception system, which forms a global knowledge graph by gathering and interpreting distributed pose information from different assets of a CPPS. Pose information of the internal asset structure as well as detected objects of interests are shared in a standardized way to ensure seamless integration of new assets. We implement an asset administration shell submodel to define the necessary data structures. PropS enables collaborative localization by integrating distributing sensor information exceeding individual asset boundaries. The presented system can, e.g., reason about the docking pose for an autonomous mobile robot in a dynamically changing environment which is unknown to the robot and inferred from multiple cameras distributed over multiple assets. We implement PropS and the presented framework with real-world robots and sensors that use the Robot Operating System (ROS). The communication between the assets is realized with the Open Platform Communication Unified Architecture (OPC UA). The feasibility of the system is verified with a proof of concept experiment. We further provide current limitations and ideas for future work to unfold the full potential of PropS.

关键词： cyber-physical production systems collaborative localization distributed pose information asset administration shell smart factory

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A Survey of the Resource Discovery Techniques in the distributed computing systems

A Survey of the Resource Discovery Techniques in the Distrib...

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2022 international conference on IT and Industrial Technologies, ICIT 2022

作者： Khan, Abdur Rehman Imtiaz, Sanaullah Farooqi, Ashfaq Hussain Air University Department of Computer Science Islamabad Pakistan

ISBN: (数字)9781665489454

ISBN: (纸本)9781665489454

distributed computing is becoming a prime need of the current era. The users are demanding more from the existing computing systems in terms of the computational power. The inherent nature of distributed computing enables the distribution of computationally expensive work across various available resources. Due to the distribution of the resources across multiple locations, there exists the challenge of discovering, synthesizing, and facilitating the resources to the client requests. In addition, the discovered resources must also comply with user requests to the diversely available resources along with their current information. In this paper, we aim to explore the resource discovery domain in the area of distributed computing and study the recent proposed schemes. We provide a survey of the distributed networking architecture and inherent discovery techniques. Furthermore, a critical analysis and comparison of the studied approaches is provided considering their networking architecture and the discovery technique. © 2022 ieee.

关键词： distributed computer systems

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An Assessment on Integration of Wireless sensor Networks with Cloud computing

An Assessment on Integration of Wireless Sensor Networks wit...

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2022 international conference on Emerging Trends in Smart Technologies, ICETST 2022

作者： Ahmed, Ali Ahmed, Huma Ali Bahria University Computer Engineering Department Karachi Campus Karachi Pakistan Newports Institute of Communications & Economics Department of Computer Science Karachi Pakistan

ISBN: (数字)9781665459358

ISBN: (纸本)9781665459358

Wireless sensor networks (WSNs) provides a major responsibility in the collection and processing of information from the real world. Similarly, cloud computing provides distributed platforms and resource sharing with the help of WSNs. The combination of these two technologies gives ease to communicate in virtual communities which is very beneficial in different domains. Cloud computing can be merged with WSNs in various applications. This will provide an easier way to understand sensor's data in real-time environments. We are going to perform a detailed survey on integration of WSNs with cloud computing and its infrastructural approaches in this research paper. © 2022 ieee.

关键词： Cloud computing

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