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

共 30763 条记录，以下是101-110 订阅

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Skin-Inspired Electronics: An Emerging Sensing and computing Platform

Skin-Inspired Electronics: An Emerging Sensing and Computing...

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ieee international conference on Solid-State Circuits (ISSCC)

作者： Margherita Ronchini Weichen Wang Yuya Nishio Yating Yao Zhenan Bao Stanford University Stanford CA Aarhus University Aarhus Denmark

ISBN: (数字)9798331541019

ISBN: (纸本)9798331541026

Skin is the interface between our body and the environment. Its unique properties and sensing capabilities allow us to perceive the world around us. Information about shape, texture, stiffness, temperature, and pain conveyed by touch facilitates our ability to perform tasks and manipulate objects dexterously [1]. Adding sensory feedback in prosthetic limbs will enable users to interact with the environment naturally and effectively, instead of relying solely on visual cues. Tactile sensing technologies, in the form of highly dense sensor arrays and neuromorphic encoding circuits coupled to a neuromodulator, are poised to revolutionize prosthetic devices. On the other hand, such a sensing and signal computing system architecture can provide a general platform for seamless and minimally invasive wearable and implantable devices (Fig. 12.4.1).

关键词： Temperature sensors Visualization Temperature Shape systems architecture Skin sensors Solid state circuits Wearable devices sensor arrays

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Proceedings - ieee 37th international conference on distributed computing systems Workshops, ICDCSW 2017

Proceedings - IEEE 37th International Conference on Distribu...

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37th ieee international conference on distributed computing systems Workshops, ICDCSW 2017

ISBN: (纸本)9781538632925

The proceedings contain 67 papers. The topics discussed include: understanding and improving temporal fairness on an electronic trading venue;certificateless cryptography-based rule management protocol for advanced mission delivery networks;faulty sensor data detection in wireless sensor networks using logistical regression;an adaptability-enhanced routing method for multiple gateway-based wireless sensor networks using secure dispersed data transfer;a progressive download method based on timer-driven requesting schemes using multiple TCP flows on multiple paths;policies guiding cohesive interactions among internet of things with communication clouds and social networks;and enhanced security of building automation systems through microkernel-based controller platforms.

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Improving Energy Efficiency Wireless sensor Networks Clustering Based on SVM

Improving Energy Efficiency Wireless Sensor Networks Cluster...

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ieee SSD international Multi-conference on systems, Signals and Devices

作者： Shaymaa A. Chyad Ibrahim Ahmed Saleh Dept. Software College of Computer Science and Mathematics University of Mosul Mosul Iraq

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

A wireless sensor Network (WSN) is organized of multiple nodes in a large area distributed randomly, each node was sending information at same time that led to conflict among them, the goal is to resolve the emerging complex conflict in WSN through the utilization of Procedure for electing the own cluster. This required need to optimize the own cluster election and extending life cycle of network. In this paper a support vector machine (SVM) based on clustering algorithm is proposed during election process. The WSN has remaining energy of node, distance from base station and probability of node serving as own cluster. The own cluster is optimized by SVM algorithm to adaptive inertia weight, it considers nodes within the communication range are regarded as its cluster members such number of own clusters selected to satisfies the optimal number of own clusters, and thereby further improving energy efficiency of the network. The simulation results show that the SVM algorithm is more efficient when compared to other algorithms, also the algorithm proven that period of network stability in balancing consuming energy is more effective and more extending the network life cycle.

关键词： Support vector machines Wireless sensor networks Base stations Adaptive systems Voting Clustering algorithms Energy efficiency Stability analysis Vectors Space stations

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Proceedings - 2017 13th international conference on distributed computing in sensor systems, DCOSS 2017

Proceedings - 2017 13th International Conference on Distribu...

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13th international conference on distributed computing in sensor systems, DCOSS 2017

ISBN: (纸本)9781538639917

The proceedings contain 33 papers. The topics discussed include: novel WSN hardware for long range low power monitoring;scheduling high-rate unpredictable traffic in ieee 802.15.4 TSCH networks;sensor selection for heterogeneous coverage measures;opportunistic routing in underwater sensor networks: potentials, challenges and guidelines;LoRa transmission parameter selection;efficient many-to-many data sharing using synchronous transmission and TDMA;TSCH and 6TiSCH for Contiki: challenges, design and evaluation;and ELOC: locating wild elephants using low-cost infrasonic detectors.

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2011 international conference on distributed computing in sensor systems and Workshops, DCOSS'11

2011 International Conference on Distributed Computing in Se...

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7th ieee international conference on distributed computing in sensor systems, DCOSS'11

ISBN: (纸本)9781457705137

The proceedings contain 87 papers. The topics discussed include: self-triggered control over wireless sensor and actuator networks;STARS: static relays for multi-robot real-time search and monitoring;demo: a distributed architecture for heterogeneous multi sensor-task allocation;type-safe updating for modular WSN software;YA-MAC: handling unified unicast and broadcast traffic in multi-hop wireless sensor networks;transmission control policy design for decentralized detection in sensor networks;VIP delegation: enabling VIPs to offload data in wireless social mobile networks;stackless preemptive multi-threading for TinyOS;TED: efficient type-based composite event detection for wireless sensor network;sensor network aided agile spectrum access through low-latency multi-band communications;demo abstract: securing communication in 6LoWPAN with compressed IPsec;and event-driven IPv6 communication for the smart grid infrastructure.

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Automotive Radar Target Detection in Widely Separated and distributed Aperture Radar systems

Automotive Radar Target Detection in Widely Separated and Di...

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international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Moein Ahmadi Björn Ottersten Bhavani Shankar M. R. Thomas Stifter Interdisciplinary Centre for Security Reliability and Trust (SnT) University of Luxembourg IEE S.A.

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

This paper presents an approach to target detection in automotive radar systems, where the highly dynamic nature of the sensor platform and environment, along with challenges such as hardware cost and installation constraints, necessitates a general sensor configuration that integrates widely separated, colocated MIMO, and distributed aperture radar (DAR). A joint Doppler processing and MIMO transmit demodulation technique is proposed, utilizing arbitrary DDM, TDM, or BPM precoding matrices with a lower-dimensional antenna steering matrix as the detection input. The signal model incorporates environmental information, such as the cell under test (CUT) range and line-of-sight regions, to enhance detection performance. A distributed Generalized Likelihood Ratio Test (GLRT) detector is derived using secondary data with CFAR property, and the robustness of the proposed detectors is evaluated under mismatch conditions using mesa plots. Simulation results demonstrate the effectiveness of the proposed approach, evaluated using key performance metrics such as probability of detection, probability of false alarm.

关键词： Measurement Simulation Precoding Radar detection Line-of-sight propagation Detectors Object detection Time division multiplexing Robustness Doppler radar

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A Hybrid Optimization Strategy for k-Coverage Maximization in Wireless sensor and IoT Networks 3

A Hybrid Optimization Strategy for k-Coverage Maximization i...

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3rd international conference on Intelligent systems, Advanced computing, and Communication, ISACC 2025

作者： Manna, Prithwish Majumder, Sudipta Singh, N. Hemarjit Dibrugarh University Dept. of CSE DUIET Assam Dibrugarh India Dibrugarh University Dept. of ECE DUIET Assam Dibrugarh India

ISBN: (纸本)9798331523893

In this paper, we propose a combination of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to create a hybrid optimization technique which meets k-coverage criteria in Wireless sensor Network (WSN) and Internet of Things (IoT). The goal of this approach is to increase the coverage area alongside minimizing the deployment cost of the sensors. Another aim is to reduce the power consumption. This technique is helpful to determine the optimal position of the sensors. It helps to ensure that each target point in the network is getting the coverage of at least k sensors. In this way we can enhance the reliability and robustness of the network. From experimental results, we can conclude that with optimal sensor utilization and minimized redundancy, our proposed approach achieves 97.14% coverage ratio with k-coverage equals 3. According to performance metrics, it is clear that there is consistent energy efficiency through the cycles. The approach converges in less than 3 second. So, this approach is applicable for real time applications. It is a hybrid metaheuristic approach which is very efficient in managing various challenges associated with sensor deployment. From this approach we can get solutions of coverage enhancement, energy efficiency and improved sensor utilization. © 2025 ieee.

关键词： Energy Efficiency Genetic Algorithm K-Coverage Particle Swarm Optimization sensor Deployment Wireless sensor Network

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Smart Retail Solutions through Edge computing and IoT Automation: Implementing Dynamic Pricing and Real-Time Customer Engagement

Smart Retail Solutions through Edge Computing and IoT Automa...

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international conference on Communication systems and Network Technologies (CSNT)

作者： Hitendra Ashok Chavan Prashant Premji Nitnaware Dept. Information Technology Bharati Vidyapeeth College of Engineering Navi Mumbai (of Mumbai University) Navi Mumbai India Dept. Information Technology Pillai College of Engineering Navi Mumbai (of Mumbai University) Navi Mumbai India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

The rapid advancement in retail technology has necessitated the development of systems that can adapt to dynamic customer behaviours and optimize pricing strategies in real time. This paper presents a smart retail system that integrates edge computing and IoT automation to address these challenges effectively. The system utilises YOLOv8 for real-time crowd counting, with camera sensors deployed around product shelves to monitor customer interactions. IoT devices, including smart shelves and QR codes, facilitate real-time data communication and enhance customer engagement. Edge computing processes this data locally to enable immediate adjustments in pricing and inventory management, minimizing latency and improving responsiveness. The integration of these technologies aims to optimize operational efficiency, enhance the shopping experience, and provide personalized promotions based on real-time crowd density and sales data.

关键词： Automation Pricing QR codes Inventory management Real-time systems sensor systems Internet of Things Reliability Monitoring Edge computing

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Comparison of Different LiDAR sensors in SLAM: Criteria Formulation and Results

Comparison of Different LiDAR Sensors in SLAM: Criteria Form...

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ieee international conference on Autonomous Robot systems and Competitions (ICARSC)

作者： Rui Bettencourt Rodrigo Serra Pedro U. Lima Alberto Vale Instituto Superior Técnico Lisbon Portugal

ISBN: (数字)9798331538606

ISBN: (纸本)9798331538613

LiDAR sensors play a crucial role in various applications such as autonomous vehicles, robotics, and environmental monitoring. The performance of these sensors significantly impacts the quality and accuracy of 3D mapping in real-world scenarios. While traditional evaluations often rely solely on specifications, a more comprehensive comparison can be made with the sensors' performance in practical mapping contexts. This paper addresses this need by proposing new LiDAR comparison criteria and conducting an extensive comparison of three LiDAR sensors: Livox Mid-360, Ouster OS1, and Velodyne Puck. The new proposed comparison criteria evaluates different sensors' behaviours in diverse environments with no ground truth, particularly by computing and comparing with the proposed reference maps. In each environment, for each sensor, a point cloud 3D map is obtained through a Simultaneous Localization and Mapping (SLAM) method, where the comparison criteria are applied.

关键词： Point cloud compression Reflectivity Laser radar Three-dimensional displays Simultaneous localization and mapping Roads sensor systems Reflection sensors Testing

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Research on sensor Data Spatiotemporal Synchronization Technology for Onboard Visual Navigation systems

Research on Sensor Data Spatiotemporal Synchronization Techn...

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Power Electronics, Computer Applications (ICPECA), ieee international conference on

作者： Yanna Yuan Huimin Liu Chenqiang Zhao Aviation Industry Computing Technology Research Institute Xi'an China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

Against the backdrop of the rapid development of unmanned aerial vehicle (UAV) technology, onboard visual navigation systems have become the core support technology for achieving precise positioning and efficient map construction of UAVs. This paper deeply explores the key technologies of sensor data spatiotemporal synchronization in onboard visual navigation systems, aiming to solve the synchronization issues in multi-sensor data fusion in variable environments, and enhance the navigation accuracy and reliability of UAVs. The research covers both spatial and temporal synchronization dimensions, with a focus on the technical implementation of Visual-Inertial Odometry (VIO). For spatial synchronization, a target-based method is proposed to construct an error equation for solving the extrinsic parameters between the camera and the Inertial Measurement Unit (IMU), achieving precise alignment of sensor coordinate systems through the identification and matching of visual target feature points. In terms of temporal synchronization, considering the data frequency differences between the camera and IMU, this paper designs a time alignment strategy that realizes efficient temporal alignment of data through data buffering and timestamp matching. Additionally, the initialization and local sliding window optimization process of the Visual-Inertial Odometry are detailed, achieving high-precision fusion of visual and inertial data through feature extraction, optical flow tracking, and motion structure recovery. Experimental results show that the methods proposed in this paper can technically provide strong support for the autonomous flight of UAVs, effectively improving the navigation performance of UAVs in complex environments, and enhancing the robustness of the system.

关键词： Visualization Accuracy Navigation Cameras Feature extraction Solids Robustness Spatiotemporal phenomena Synchronization Odometry

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