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检索条件"任意字段=5th International Conference on Informational Processing in Sensor Networks"

共 8124 条记录，以下是361-370 订阅

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Mapping method of embedded system based on multi-sensor data fusion for unstructured terrain 5

Mapping method of embedded system based on multi-sensor data...

引用

5th international Academic Exchange conference on Science and Technology Innovation, IAECST 2023

作者： Wang, Yufei Wang, Zhiming Shanghai University School of Mechatronic Engineering and Automation Shanghai China

ISBN: (纸本)9798350357738

Simultaneous localization and mapping, as the basic methods for autonomous motion of mobile robots, have been widely developed and applied in conventional structured environments. But it is more difficult to collect and process data in unstructured environments. the elevation map provides an efficient, simple and powerful geometric representation of terrain for ground robots. Robots can use this information for navigation, path planning and motion control in uncertain environments. However, a single sensor provides less information about the environment. At the same time, for embedded systems with limited computational power, their real-time performance will be affected. In order to solve the above problems, this paper proposes an improved elevation mapping method based on multi-sensor data fusion. More informative elevation maps are obtained using sensor data from multiple sources, while processing is accelerated by GPU. We demonstrate the optimization performance of the proposed method with simulated data sets and real terrain experiments, and compare the reconstructed elevation map with the real ground, proving that the proposed method can be used for autonomous navigation of mobile robots. © 2023 IEEE.

关键词： Embedded systems

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Intelligent Error Detection in Electric Power Texts Based on ALBERT-GCNN-CRF Model 5

Intelligent Error Detection in Electric Power Texts Based on...

引用

5th international conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2024

作者： Sun, Feng Li, Tianyi Shang, Erzhen Zhang, Yuanbo Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd Shenyang China State Grid Liaoning Electric Power Co. Ltd Shenyang China

ISBN: (纸本)9798350368284

Detecting grammatical errors in electric power texts is a crucial task in natural language processing, aimed at identifying typos, grammatical issues, and sentence structure problems. Due to the flexibility of grammar and the absence of features such as tense and voice, local information is essential. Traditional machine learning methods often struggle with accuracy, and existing deep learning methods fail to fully leverage local information. We propose a novel model, ALBert-GCNN-CRF, which combines the ALBert pre-Trained language model with a convolutional neural network (GCNN) for local information extraction and a residual gating mechanism. this model treats grammatical error detection as a sequence labeling task, using a Conditional Random Field (CRF) to learn relationships between labels. Experimental results show that the ALBert-GCNN-CRF model significantly improves the F1 score for electric power texts, with average increases of 16.9%, 11.2%, and 4.4% compared to other models, demonstrating its effectiveness in enhancing grammatical error detection. © 2024 IEEE.

关键词： Convolutional neural networks

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Fast Data Collection Protocol Design for Underwater Wireless sensor networks 5

Fast Data Collection Protocol Design for Underwater Wireless...

引用

5th international conference on Computer Communication and the Internet, ICCCI 2023

作者： Xiao, Kai-Lun Chao, Chih-Min National Taiwan Ocean University Department of Computer Science and Engineering Keelung Taiwan

ISBN: (纸本)9798350326956

the high latency of acoustic transmission in an Underwater Wireless sensor Network (UWSN) allows multiple transmitters at different distances from the receiver to send concurrently. the high latency feature has been used in many existing MAC protocols to reduce data collection time. How-ever, most of data collection protocols adopt contention-based mechanisms and suffer from transmission collisions when the number of nodes increases. In this paper, a Contention-Free Pipelined Scheduling (CFPS) is proposed to reduce the time for data collection. the core idea of CFPS is to partition nodes into sub-clusters and then design a contention-free transmission scheduling table for different sub-cluster heads. It is expected that the CFPS protocol can reduce data collection time and improve network throughput when compared to the three well-designed data collection protocols, namely DAP-MAC, RHNE-MAC, and NF-TDMA. © 2023 IEEE.

关键词： Time division multiple access

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Prediction of sea fog based on a bidirectional temporal convolutional and long short-term memory networks 5

Prediction of sea fog based on a bidirectional temporal conv...

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5th international conference on Signal processing and Computer Science, SPCS 2024

作者： Qin, Xiaobao Huang, Mengxing Xu, Bo School of Information and Communication Engineering Hainan University Haikou570228 China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

Sea fog is a common weather phenomenon at sea, which reduces visibility and poses a great threat to marine traffic and operations. Traditional satellite remote sensing sea fog monitoring algorithms need to be improved in terms of accuracy, portability and automation. In this paper, a sea fog prediction model based on a Bidirectional Temporal Convolutional and Long Short-Term Memory networks is proposed (BiTCN-LSTM). the BiTCN-LSTM introduces a network of causal convolutional and bidirectional gated recurrent cells, which improves the network's attention to sea fog features of important channels by learning forward and backward convolutional features of the input sea fog sequence. In addition, residual multi-scale feature fusion is employed to obtain multiscale information of sea fog, allowing the model to extract and fuse features progressively at different levels for better prediction of relative humidity and visibility time series of sea fog. Experiments show that the proposed BiTCN-LSTM has excellent performance in terms of long-term sea fog humidity and visibility prediction. © 2025 SPIE.

关键词： Long short-term memory

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Efficient Energy Management by Using SJF Scheduling in Wireless sensor Network 1

引用

5th international conference on Advances in Distributed Computing and Machine Learning, ICADCML 2024

作者： Mohapatra, Hitesh Kolhar, Manjur Dalai, Asish Kumar School of Computer Engineering KIIT Deemed to be University Odisha Bhubaneswar751024 India Department of Computer Science College of Arts and Science Prince Sattam bin Abdulaziz University Al-Kharj16278 Saudi Arabia VIT AP University AP Amaravati India

ISBN: (数字)9789819718412

ISBN: (纸本)9789819718405

A wireless sensor network is a collection of small, low-power devices called sensors that are deployed in an area to monitor and gather data from the surrounding environment. sensors can be deployed in two type either in a static way or in mobile way. this work have presented a optimized routing strategy by using shortest job first techniques. In this model the computation time has been used to schedule the sleep and wake up phase of sensor nodes. the simulation result shows the better energy management with this technique. the result shows that the energy management through shortest job first technique outperforms by 46.52% then first come, first served, and Round Robin techniques. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Energy management

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5th international conference on Computing and Network Communications, CoCoNet 2023

5th International Conference on Computing and Network Commun...

引用

5th international conference on Computing and Network Communications, CoCoNet 2023

ISBN: (纸本)9789819747108

the proceedings contain 44 papers. the special focus in this conference is on Computing and Network Communications. the topics include: Maximizing Efficiency: Unveiling the Potential of Kubernetes Metrics;resource-Aware Learning Automata for Low-Latency Task Scheduling in Fog Computing;Design of High Gain Wideband Petal-Shaped Magneto-Electric Dipole Metal Antenna for 5G Sub-6 GHz and Wi-Fi Applications;A Novel Billhook-Shaped 2-Element MIMO Array for Sub-6 GHz Millimeter Wave Application;energy-Efficient Transmission in Wireless sensor Network Using Compressive Sensing;smart City Solutions for Traffic Management;an IoT-Assisted Real-Time Urban Air Pollution Data Collection System;real-Time Stock Price Prediction Using Apache Kafka;RSS-Based Localization Using GRU and BiGRU Deep Learning Models in LoRaWAN-IoT networks;locating and Routing for IoT-Based Fire Evacuation System;an Energy-Efficient Data Management Approach Using Sparse Compression in Future-Ready IoT networks;a Framework for Developing IoT and Edge Computing-Based Smart Transportation Applications;a Mathematical Model for Data Traffic Management in Next-Generation IoT networks;crowdsourced Mobile Applications for Disaster Relief: A Case Study of Landslide Tracker and Amrita Kripa App Deployments in Sikkim Schools;design and Modeling of Modular Wheelchair for therapeutic Exercises;analyzing Data Traffic in IoT networks: A Novel Graph-Based Architecture;A Lightweight Privacy-Preserving and Authentication Model (LiPAM-FSG) for Fog-Based Smart Grids;time Series Analysis and Rule Mining for Detecting Industrial Control System Data Injection Attacks;Radius-Based Authentication: UFrames’ Novel Approach to Prevent Account Sharing;deep Neural Network-Based Secure Energy-Efficient Power Allocation in an Interference Network;An Adaptive Time Quantum-Based Efficient Round-Robin Algorithm for CPU Scheduling;low-Cost Advanced Undetectable Hardware-Based Malicious Keyboard;constructing a Blind Digital Signature Scheme

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5th international conference on Computing and Network Communications, CoCoNet 2023

5th International Conference on Computing and Network Commun...

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5th international conference on Computing and Network Communications, CoCoNet 2023

ISBN: (纸本)9789819745395

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Detection Mode of the Electric Fish and Its Dynamic Signal Tracking 5

Detection Mode of the Electric Fish and Its Dynamic Signal T...

引用

5th international conference on Information Communication and Signal processing, ICICSP 2022

作者： Qiu, Chunyan Duan, Yaohui Ma, Hui Zhou, Shenghua Xidian University The National Laboratory of Radar Sinnal Processing Xian China

ISBN: (纸本)9781665485890

the behavior of electric fish shows that it has powerful electrical perception. this paper studies the detection mode and dynamic signal tracking of the electric fish by constructing the dipole model of how the electric fish creates electric signal and how the dipole model of the electric fish receives the electric signal. through the establishment of the electric organ discharge model in the software COMSOL, the basic characteristics of the perturbation of the electric field caused by the existence of the object are studied, and the result is consistent with the 'electronic image' theory. We analyze the general relationship between electronic images and object features, and predict object features through neural networks. Finally, the sensor model is established and simulated in COMSOL, the current data of the dipoles when the sensor moves around the object is calculated via the finite element method, and the untracked Kalman filter is used to realize the detection of the sphere by the sensor. the results show that the detection of underwater objects can be realized by using the electric field. © 2022 IEEE.

关键词： Electric discharges

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Optimal Power Allocation in NOMA-Based Diamond Relaying networks 5

Optimal Power Allocation in NOMA-Based Diamond Relaying Netw...

引用

5th international conference on Communications, Signal processing, and their Applications (ICCSPA)

作者： Khattab, Noha H. Soliman, Samy S. Univ Sci & Technol Zewail City Sci Technol & Innovat Giza Egypt Cairo Univ Elect & Elect Commun Engn Dept Fac Engn Giza Egypt

ISBN: (纸本)9781665482370

Unlike conventional cooperative networks, diamond relaying networks can provide higher achievable data rates. In a non-orthogonal multiple access (NOMA) based diamond relaying network (DRN), two relays work together to transmit two messages to the destination within only two-time slots. Power allocation is crucial for improving system performance in NOMA-based networks. Accordingly, the effect of optimizing the power allocation coefficients for the DRN system is investigated. A closed-form analytical solution for obtaining the optimum power allocation coefficients of the DRN model is presented. Simulation results show the superiority of the analytical solution of optimal power allocation assignment over a fixed power allocation. A comparison between the proposed analytical solution with other exhaustive search algorithms is discussed. Finally, the accuracy of the suggested solution is confirmed via simulation results.

关键词： Cooperative relaying diamond relaying networks NOMA power allocation sum rate

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Analysis on Rising the Life Span of Node in Wireless sensor networks Using Low Energy Adaptive Hierarchy Clustering Protocol 5

Analysis on Rising the Life Span of Node in Wireless Sensor ...

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5th IEEE international conference on Cybernetics, Cognition and Machine Learning Applications, ICCCMLA 2023

作者： Narasimharao, Jonnadula Reddy, A. Vamsidhar Regulagadda, Ravi Sruthi, P. Venkataiah, V. Suhasini, R. CMR Technical Campus Department of CSE Telangana Hyderabad India CMR Technical Campus Department of ECE Telangana Hyderabad India CMR Technical Campus Department of IT Telangana Hyderabad India CMR College of Engineering& Technology Department of CSM Telangana Hyderabad India CMR College of Engineering& Technology Department of CSE Telangana Hyderabad India CMR College of Engineering & Technology Department of CSC Telangana Hyderabad India

ISBN: (纸本)9798350338287

Various low-power and low-cost network sensors are employed in wireless sensor networks (WSNs) to detect changes in surroundings, gather data, analyze the data, and transport the processed data through a base station (BS). Additionally to the dispersion uneven of the clusterheads, this sort of network experiences limited power anda brief lifespan. the LEACH (Low Energy Adaptive Clustering Hierarchy) protocol is employed to address this issue since it guarantees that chosen cluster leaders are going to be evenly distributed throughout the network, hence reducing energy consumption. Simulation results demonstrate that the improved approach can reduce energy usage and extend the network's life-cycle. © 2023 IEEE.

关键词： Energy utilization

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