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Single Base Station Positioning for Robots Based on Multiple sensor Fusion 4

Single Base Station Positioning for Robots Based on Multiple...

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4th ieee international conference on Information systems and Computer Aided Education, ICISCAE 2021

作者： Ding, Yuanhao Jiang, Lurong Wu, Jiang Li, Meng Jing, Liwen Li, Wei College of Information Zhejiang Sci-Tech University Hangzhou China College of Big Data and Internet Shenzhen Technology University Shenzhen China School of Information Science and Technology North China University of Technology Beijing China

ISBN: (纸本)9781665441247

With the development of technology, positioning systems have shifted from outdoor to indoor and from low precision to high precision. the indoor positioning has put forward greater demands on many applications including indoor robot navigation. Aiming at improving the accuracy, cost, and stability of indoor localization, this paper proposed a single base station positioning approach for robots based on the fusion of UWB, IMU, and encoder sensors. With the combination of several sensors, robots that carry UWB tags can achieve high accuracy localization and well robustness in an indoor environment. It has been validated in indoor corridors and passages. Compared with traditional multi-base station positioning methods, the approach which we proposed cuts the positioning cost and improves flexibility. Experiments are carried out to validate the localization performance. the results confirm that the average positioning errors can meet requirements in most indoor scenes. © 2021 ieee.

关键词： Robots

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distributed Event-Triggering Secondary Frequency Control of Islanded Microgrids Under DoS Attacks 8th

Distributed Event-Triggering Secondary Frequency Control of...

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8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent computing for Sustainable Energy and Environment, ICSEE 2024

作者： Zhou, Lihua Zhang, Changda Du, Dajun Fei, Minrui Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai University Shanghai China School of Electrical Engineering Hebei University of Science and Technology Hebei China

ISBN: (纸本)9789819602247

High reliability and efficiency of microgrids are being threatened by cyber attacks. this paper investigates a Secondary Frequency Control Scheme (SFCS) for an islanded microgrid with Event-Triggering Mechanism (ETM) under Denial of Service (DoS) attacks. Firstly, the microgrid dynamic model is reviewed and control objectives are formulated. Secondly, a cooperative frequency control scheme combined with distributed event-triggering mechanism is presented to achieve the desired frequency control under DoS attacks. thirdly, the stability and Zeno Behaviour of the closed-loop system are analysed by Lyapunov theory. Finally, simulation results of the microgrid are explored to verify the effectiveness of the proposed frequency control scheme. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cyber attacks

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Optimized Deep Learning-Based Intrusion Detection and Secure, Energy-Efficient Routing in Wireless sensor Networks

Optimized Deep Learning-Based Intrusion Detection and Secure...

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international conference on ICT in Business Industry & Government (ICTBIG)

作者： Anita Soni Sidharth Bhalerao Tejaswi Maddineni Syed Manzoor Ali J. Rajini Shubhi Khare Department of Computer Science and Engineering IES University Bhopal Dept of CSE Gyan Ganga Institute of Technology & Sciences Jabalpur MP India Data Engineer Independent Researcher Southern Illinois University Carbondale USA College -St Aloysius Institute of Technology Department of English Kongu Engineering College Erode TN India GGITS MP India

ISBN: (数字)9798331518981

ISBN: (纸本)9798331518998

the growth of WSN and the Internet of things (IoT) has been phenomenal as a consequence of recent technical developments. the supplier of cloud services experiences maximum delay due to the enormous amount of data processing required. the IoT is made possible by fog computing, which is an unsecured computing technology that supports programs on billions of connected gadgets in an efficiently and economical way. It has the potential to address issues with Internet of things applications that need location awareness, geolocation, low latency, and movement support. When it involves fog-based WSNs, cybersecurity is of the utmost importance, and IDS (intrusion detection systems) are often built using Deep Learning (DL) models. this method's design allows applications to run on platforms that are near the network's edge, reducing service overhead. A cloud-like system that provides users with preservation, software service, and computer assets. As a new method, it encounters many problems with security and privacy due to the fact that fog gadgets are often located in areas with low levels of protection. the confidentiality of information may be jeopardized by cyberattacks such as port scanning, disruption of service, probes, and man-in-the-middle attacks. the Cuckoo optimization method has shown results that are slightly better, with a precision of 99%. In addition, the Behavior-based IDS approach has shown moderate findings with a 99% success rate.

关键词： Deep learning Wireless sensor networks Cloud computing Adaptation models Geology Intrusion detection Standardization Data collection Internet of things Computer crime

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Design of Event-Based Resilient distributed Filtering Algorithm for Time-Varying Stochastic systems with Correlated Noises over sensor Networks

Design of Event-Based Resilient Distributed Filtering Algori...

引用

ieee international conference on Cloud computing and Intelligence systems (CCIS)

作者： Zehao Li Jun Hu Jiaxing Li Peixia Gao Ruijie Dong Department of Applied Mathematics Harbin University of Science and Technology Harbin China School of Automation Harbin University of Science and Technology Harbin China

ISBN: (纸本)9781665456579

An event-triggered (ET) recursive distributed filtering approach is designed for a class of stochastic systems with correlated noises. the correlated noises are represented by known matrices and the Kronecker $\delta$ function. the ET mechanism that can regulate the sensor information is employed. In addition, the perturbation of the filter gain is considered to suppress the effects of the gain variation on filtering accuracies. An upper bound with respect to the filtering error covariance that can be minimized is obtained by properly choosing the filter gain. Finally, an illustrative example is given to verify the usefulness of the proposed filtering approach.

关键词： Upper bound Stochastic systems Perturbation methods Neural networks Machine learning Filtering algorithms Information filters

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Cement concrete pavement distress detection based on sensor fusion architecture

Cement concrete pavement distress detection based on sensor ...

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Artificial Intelligence, Robotics, and Communication (ICAIRC), ieee international conference on

作者： Yikun Huang Yi-Horng Lai Cheng Shen Zhengwei Feng Qiyuan Dong Wanqing Huang School of Mechanical and Electrical Engineering & Automation Xiamen University Tan Kah Kee College Zhangzhou P.R. China School of Civil Engineering Xiamen University Tan Kah Kee College Zhangzhou P.R. China

ISBN: (数字)9798331531225

ISBN: (纸本)9798331531232

this study develops a cement pavement distress detection system based on a parallel fusion architecture. the algorithm of IMU includes two modified roughness indexes. the image subsystem uses the YOLOv7 network to detect four types of distress objects (e.g. longitudinal crack, transverse crack, complex crack, and pothole). the proposed system is evaluated in two types of cement pavement: urban and country. the experimental results validate the average detection rate of the sensor fusion reaches 90%. the proposed fusion strategy can compensate for any single-sensor failure and improve the detection accuracy of YOLOv7.

关键词： Accuracy Roads Cement industry Radial basis function networks Object detection sensor fusion Robot sensing systems Rough surfaces Indexes Artificial intelligence

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Apportionment of overvoltage responsibility for distributed photovoltaic distribution network based on improved Raiffa solution method

Apportionment of overvoltage responsibility for distributed ...

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Electrical Engineering and Mechatronics Technology (ICEEMT), ieee international conference on

作者： Shuyin Duan Xiye Zheng Lei Yu Zongwen Luo Yinliang Liu Wei Zeng Tong Liu Boxiong Huang Electric Power Research Institute Co. Ltd. CSG Guangzhou China Jieyang Power Supply Bureau Guangdong Power Grid Co. Ltd. Jieyang China

ISBN: (数字)9798350356472

ISBN: (纸本)9798350356489

Aiming at the overvoltage problem generated by distributed PV’s large-scale access to the distribution network, an overvoltage apportionment method based on the improved Raiffa method is proposed, with a view to determining the overvoltage responsibility of each PV user. Taking the voltage loss as the characteristic function, the overvoltage responsibility of each distributed PV is calculated by Raiffa solution method, the correction factor of the improved Raiffa solution method is calculated by using the gray correlation analysis method, and the model of the improved Raiffa solution method is constructed, and finally, the example of ieee-33 node distribution system is used to carry out the simulation validation, and the result of the example shows that the improved Raiffa solution method integrates the influence of the correction factor, and the apportionment result is better than that of the improved Raiffa solution method, and the overvoltage responsibility of each distributed PV user is determined. the example results show that the improved Raiffa solution method comprehensively considers the influence of the correction factor, and the apportionment results are more reasonable compared with the traditional Raiffa method.

关键词： Photovoltaic systems Electrical engineering Sensitivity Mechatronics Correlation Voltage Distribution networks Resource management Voltage control Arithmetic

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A Way of Optimization of Wireless sensor Network using TSCH

A Way of Optimization of Wireless Sensor Network using TSCH

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Advance computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： A R Aravind Manju Prajapati E Arunkumar Rakesh Kumar Himanshu Kumar S P V Subba Rao Department of Electronics and Communication Engineering Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science & Engineering (cs and e) IES College of Technology Bhopal M.P India Department of Electronics and Communication Engineering Karpagam College of Engineering Department of Computer Engineering & Applications GLA University Mathura Chitkara Centre for Research and Development Chitkara University Himachal Pradesh India Department of Electronics and Communication Engineering Sreenidhi Institute of Science and Technology Hyderabad

ISBN: (数字)9798350360165

ISBN: (纸本)9798350360172

Within ad hoc wireless networks, TimeSynchronized Channel Hop (TSCH) is a potential method for interference-free and collision-free communication, especially in the setting of wireless sensor networks, car networks, and networks containing robots or drones. Even though TSCH and its versions work well, they need centralized planning to keep the time-frequency sliding system in place. this leads to a restricted usage of time-frequency slots and slow convergence, especially when there is node change or movement. Using the idea of pulse-coupled oscillators, the protocol pairs distributed synchronization or desynchronization methods at the MAC layer to coordinate nodes to perform coordinated signal packet broadcasts over all available channels. Afterwards, peer-to-peer swap requests and acknowledgements between ongoing emitter in neighboring channels result in autonomous channel moving. Extensive evaluation against TSCH and the power source Successful It MAC (EM-MAC) protocol suggests that DT-SCS is a strong contender for centralized multi-channel MAC layer coordination due to its quick convergence, which refers strong connectivity, and high bandwidth utilization even in the midst of interference alongside hidden nodes.

关键词： Wireless sensor networks Time-frequency analysis Protocols Wireless networks Media Access Control Peer-to-peer computing Synchronization

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indexPDT: A High Scalable distributed Classification Approach with Novel Cache Structure for Geo-location

indexPDT: A High Scalable Distributed Classification Approac...

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ieee international conference on High Performance computing and Communications (HPCC)

作者： Zhijie Sun Jing Li Jun Xie Binfan Zheng Li Zeng Rongqian Zhao Huawei Technologies Co. Ltd. Shenzhen China

Geo-location, also known as measurement report (MR) location, is a technique to determine the geographic location of user equipment (UE) and the behaviour attribute of telephone traffic based on wireless signals measured by the mobile communication network. the geographic location information can help to support network performance monitoring and evaluation. Considering accuracy and cost, we mainly adopt a hybrid location scheme combined with feature matching location and Weighted Centroid Correction Location (WCCL). As for feature matching location, over 20 billion samples gathered from tens of thousands of cells daily updated. Due to the vast data scale, feature analysis encounters a severe performance bottleneck. To address this problem, we design the indexed parallel decision tree (indexPDT) operator and integrate it into WindTensor, a self-innovated distributed machine learning (ML) engine. indexPDT is a classifier unit of the random forest (RF) algorithm with a novel cache structure. It performs structured cache processing on the dataset's meta-information, which can accompany the splitting of nodes. the cache structure can be quickly converted into statistical information to help find the optimal splitting point, effectively reducing memory usage and improving performance. Under the public datasets testing on 5 nodes, the mean speedup ratios are 86x and 3x compared with SparkML and XGBoost, respectively. In the Geo-location scenario, for a single cell, the speedup ratios are 82x and 4x compared with SparkML and XG Boost, respectively.

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When the Edge Meets Transformers: distributed Inference with Transformer Models

When the Edge Meets Transformers: Distributed Inference with...

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international conference on distributed computing systems

作者： Chenghao Hu Baochun Li Department of Electrical and Computer Engineering University of Toronto

ISBN: (数字)9798350386059

ISBN: (纸本)9798350386066

Transformer models achieved significant break-throughs in a wide variety of applications, yet their exorbitant computation costs pose significant challenges when it comes to deploying these models for inference, especially on resource-constrained edge devices. In this paper, we introduce the concept of cross-device distributed inference to transformer models, which accelerates the speed of inference by distributing its workload among multiple edge devices. Unlike previous work designed for multi-GPU environments, the challenge of distributing inference workload on edge devices includes not only limited computation power, but also low bandwidth connections to exchange intermediate results. To address these challenges, we propose Voltage, a distributed inference system tailored for edge devices. By exploiting the inherent parallelizability of the input sequence, Voltage partitions the transformer inference workload based on positions to accelerate the inference speed. We also analyze the relationship between the partition settings and the computation complexity, which allows Voltage to adaptively select the most efficient computation scheme. To demonstrate its effectiveness and generalizability, the performance of Voltage has been evaluated in the context of well-known transformer models, and in a variety of experimental settings. Our results show that Voltage significantly outperforms tensor parallelism by reducing the communication size by 4 x, thereby accelerate the inference speed by up to 32.2 % compared with single device deployment.

关键词： Performance evaluation Tensors Costs Computational modeling Voltage Parallel processing Transformers

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Protection Scheme for a Residential DC Microgrid 4

Protection Scheme for a Residential DC Microgrid

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ieee 4th international conference on DC Microgrids (ICDCM)

作者： Zubieta, Luis Zhang, Ye Bauer, Daniel Emera Technol LLC Block Energy Labs Burlington ON Canada

ISBN: (纸本)9781728186412

this paper presents a protection scheme for power distribution systems based on a DC Microgrid. the protection concept is applicable to a system architecture where energy storage resources are present in ALL the loads/prosumers served by the distribution network. the protection scheme operation is based on using the energy storage resources located at the prosumers to decouple the load and local generation transients from the power demanded by or supplied to the DC distribution line. Specific patterns for the current exchanged between the distribution line and the consumers are used so that it becomes easy to differentiate normal operation from fault conditions. the concept has been experimentally implemented and deployed at a DC microgrid demonstration in Albuquerque, New Mexico.

关键词： protections power distribution DC microgrids distributed energy storage

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