检索结果-内蒙古大学图书馆

4th ieee China international Electrical and Energy conference, CIEEC 2021

作者： Lou, Wei Xiang, Zhongming Pan, Wulue Tang, Aihong Zhou, Wei Zhai, Xiaohui East China Branch of State Grid Corporation of China Shanghai China Wuhan University of Technology School of Electrical Engineering Wuhan China

ISBN: (纸本)9781728171494

With the continuous increase in electricity demand and the common problems of centralized FACTS, such as high cost, large operating loss, and low reliability. the distributed Power Flow Controller (DPFC) technology, which has the advantages of cost-effectiveness and reliability, is developing rapidly, but the DPFC in the current research only works in a single control mode. this paper introduces the basic principles of DPFC multi-mode operation based on typical systems, studies the control principles and control ability of DPFC under different control modes;proposes the multi-mode control strategy of DPFC and presents the electromagnetic transient model of DPFC based on PSCAD/EMTDC, the simulation verifies the validity and reliability of the DPFC multi-mode operation strategy. © 2021 ieee.

关键词： Reliability

来源：评论

学校读者我要写书评

暂无评论

Wireless sensor Network Hop Count theory Modeling and Deep Learning Prediction

Wireless Sensor Network Hop Count Theory Modeling and Deep L...

引用

Sciences and Techniques of Automatic Control and Computer Engineering MI-STA, ieee international Maghreb Meeting of the conference on

作者： Salem Omar Sati Afif Abugharsa Information Technology Faculty Misurata University Libya

ISBN: (数字)9798350372632

ISBN: (纸本)9798350372649

Wireless sensor Networks (WSNs) are utilized as distributed systems for wireless communication and data collection from sensors. A WSN can be represented as a graph consisting of sensors and wireless links. If this graph has a path connecting any source sensor to any destination sensor, it is considered a connected network graph. Otherwise, it is a disconnected graph. the connectivity of a network graph is crucial for its proper functioning and applications. Network connectivity can be affected if a certain number of sensor nodes are missing from the topology. this number of nodes can be used as a threshold for connectivity. In a WSN, sensors communicate with their direct neighbors based on the quality of their communication links. this paper proposes a mathematical model to address connectivity and link probability issues in WSNs. the model examines the impact of varying link probability and the number of deployed sensors on network connectivity. the model is evaluated using different radio models in the Cooja emulator with the Rime stack. A multi-hop WSN is implemented as a linear path with various radio models to analyze network connectivity probability and estimate the maximum hop count. Additionally, the success of flood route estimation based on link probability is investigated. Network performance metrics such as packet delivery ratio and packet loss rate are used to evaluate network connectivity and measure the maximum hop count for both radio models. Furthermore, the collected simulation dataset is employed in Deep Learning models to predict the hop count based on link quality parameters.

关键词： Wireless communication Deep learning Wireless sensor networks Computational modeling Spread spectrum communication Predictive models Mathematical models

来源：评论

学校读者我要写书评

暂无评论

Exploiting Spatial and Temporal Features for Deep Learning Based Human Activity Recognition

Exploiting Spatial and Temporal Features for Deep Learning B...

引用

international conference on Parallel and distributed systems (ICPADS)

作者： Wenying Cao Gaotao Shi Tieguan Zhang International Engineering Institute Tianjin University Tianjin China College of Intelligence and Computing Tianjin University Tianjin China

Human activity recognition using inertial sensors has gained significant popularity and widespread adoption in various fields, while deep learning has emerged as the dominant approach, playing a pivotal role in enhancing performance. Nevertheless, existing algorithms often neglect the heterogeneity of sensors and fail to effectively extract contextual features from long-term time series data, resulting in low accuracy in activity recognition, especially for complex activities. this paper proposes a novel method called FUsion Transformer hUman activity REcognition(FUTURE). FUTURE exploits the feature fusion mechanism and designs a multi-scaled DenseNet to extract the spatial features so that the relationship between heterogeneous sensors can be captured. Furthermore, a customized multi-head attention model with less computational complexity is employed in FUTURE to capture global dependencies within the sensor data. Experimental results on multiple datasets validate that FUTURE achieves an average recognition accuracy of 95% for complex activities and the evaluation against the state-of-the-art demonstrates the superior performance of the FUTURE model in accurately classifying complex activities.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Decoupled Iterative Deep sensor Fusion for 3D Semantic Segmentation

引用

international JOURNAL OF SEMANTIC computing 2021年第3期15卷 293-312页

作者： Duerr, Fabian Weigel, Hendrik Beyerer, Juergen AUDI AG D-85057 Ingolstadt Germany Karlsruhe Inst Technol KIT Vis & Fus Lab Karlsruhe Germany Fraunhofer Ctr Machine Learning Fraunhofer Inst Optron Syst Technol & Image Explo D-76131 Karlsruhe Germany

One of the key tasks for autonomous vehicles or robots is a robust perception of their 3D environment, which is why autonomous vehicles or robots are equipped with a wide range of different sensors. Building upon a robust sensor setup, understanding and interpreting their 3D environment is the next important step. Semantic segmentation of 3D sensor data, e.g. point clouds, provides valuable information for this task and is often seen as key enabler for 3D scene understanding. this work presents an iterative deep fusion architecture for semantic segmentation of 3D point clouds, which builds upon a range image representation of the point clouds and additionally exploits camera features to increase accuracy and robustness. In contrast to other approaches, which fuse lidar and camera features once, the proposed fusion strategy iteratively combines and refines lidar and camera features at different scales inside the network architecture. Additionally, the proposed approach can deal with camera failure as well as jointly predict lidar and camera segmentation. We demonstrate the benefits of the presented iterative deep fusion approach on two challenging datasets, outperforming all range image-based lidar and fusion approaches. An in-depth evaluation underlines the effectiveness of the proposed fusion strategy and the potential of camera features for 3D semantic segmentation.

关键词： 3D semantic segmentation 2D semantic segmentation deep fusion convolutional neural networks point clouds sensor fusion

来源：评论

学校读者我要写书评

暂无评论

A Multilayer Perceptron Neural Network Model for UAV sensor Fault Detection 4

A Multilayer Perceptron Neural Network Model for UAV Sensor ...

引用

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

作者： Xiao-Wei, Wang School of Information Engineering Nanning University Guangxi Nanning China

ISBN: (纸本)9781665441247

With the rapid development of the Internet of things, drones have been widely used for inspection in various fields. However, the sensors of UAVs are easily affected by extreme conditions. therefore, how to reduce the failure rate of UAV sensors has become a hot research topic in recent years. In this paper, we use a publicly available dataset of UAV sensor failure data, we use the first 70 % as the training set and the remaining 30 % as the test set, and we use three models such as neural networks, support vector machines, and gradient boosters to detect the sensor data failures. Finally, we use three metrics, ME, RMSE, and MAE, to evaluate the prediction results of the models. the experimental results show that our proposed neural network model is more efficient. It can better help to detect whether the UAV sensors are faulty, thus reducing the cost and resources wasted on manual sensor detection. It also improves the detection efficiency and extends the service life of the sensors. © 2021 ieee.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Optimizing the Joint PMUs and Wireless sensors Placement in WAMS

Optimizing the Joint PMUs and Wireless Sensors Placement in ...

引用

international conference on Embedded & distributed systems (EDiS)

作者： Amel Faiza Tandjaoui Aymen Berrahal Ilyes Sekhraoui Laboratoire LGEM ESGEE Oran Oran Algeria ESGEE Oran Oran Algeria Université de Laurraine Metz France

ISBN: (数字)9798331519872

ISBN: (纸本)9798331519889

Wide Area Measurement systems (WAMS) enhance classical measuring techniques for power networks by bringing more sophisticated devices (PMUs) and enabling a more developed communication infrastructure (CI). During the deployment of a WAMS, these two aspects should be carefully assessed. While the optimal PMUs placement problem (OPP) had been intensively studied, the CI needs more attention. this paper tackles the problem of the optimal placement of wireless sensors over the network to insure its connectivity. A mathematical optimization formulation is firstly developed. An approximation resolution approach using the concept of the Steiner tree is then proposed. the obtained numerical results show that having a power network with a higher nodal degree lead to less needed sensors. Results also highlight the importance of jointly considering PMUs and sensors placement problems during the deployment optimization process. A sub-optimal approach is proposed to achieve resolution within reasonable calculation times.

关键词： Wireless communication Steiner trees Wireless sensor networks sensor placement Power measurement Metaheuristics Phasor measurement units Mathematical models Wide area measurements Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

distributed Control Method for User-level Microgrids 4

Distributed Control Method for User-level Microgrids

引用

4th ieee China international Electrical and Energy conference, CIEEC 2021

作者： Wu, Hao Hu, Shubo Sun, Hui Guo, Furan Song, Wenzhuo Sun, Jingjie Qi, Xinge Dalian University of Technology School of Electrical Engineering Dalian China Economics and Technology Institute of State Grid Henan Electric Power Co. Ltd. Dalian China State Grid Dalian Power Supply Co. Ltd. Dalian China

ISBN: (纸本)9781728171494

As the proportion of distributed generation grows in power system, microgrid becomes an important role in consumption. As the number of facilities in radiating distributed power grid is great, the application of traditional centralized control or decentralized control methods are difficult to solve problems such as high control pressure, weak connection between the microgrid and main grid, or single point failure. Aiming at low-voltage user-level microgrid, this paper proposes a P2P control structure based on MAS to realize distributed control and ensure that operation standards can be met in both grid-connected and off-grid operations of microgrids. through such method, rapid response to changes, control pressure lowered and single point failure avoided could also be fulfilled. By building user-level microgrid system in PSCAD/EMTDC, the rationality and effectiveness of the proposed control method are verified. © 2021 ieee.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

A Novel, Spherical sensor Array to Detect Extra-Terrestrial Mass Asymmetry

A Novel, Spherical Sensor Array to Detect Extra-Terrestrial ...

引用

2023 international conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023

作者： Jansson, Peter Mark Schmalzel, John Graneau, Neal Baramidze, Luka Burns, Tyler Van Der Heijden, Jacob Caulfield, Liam Bethel, Hank Zaki, Peter Jansson, Eric McGrath, William Jansson, Frank Bucknell University Ece Department LewisburgPA United States Rowan University Ece Department GlassboroNJ United States Eliquigen Oxford United Kingdom Univ. of Wisconsin Ece Department MadisonWI United States Integrated Systems Eagles MerePA United States

ISBN: (纸本)9798350322972

this publication describes our scientific journey to reach the 4th version of a spherical Mach Effect sensor apparatus. this paper focuses specifically on recent refinements to and past performance of this novel scientific instrument. Much has been learned over the past two decades (since version 1) about how and when our sensor array system enables the possible detection of an electromagnetic interaction appearing consistent with one attributable to a Machian inertial interaction. this paper describes the sensor array in sufficient detail for others to replicate our findings viewable in other publications. the joint probability that these 11 independent results could have been achieved by random chance is very low. the detector would appear to 'point' in the direction of one of three gravitational targets;the Sun, the center of our Milky Way galaxy or the center of our Virgo supercluster of galaxies. this work may challenge the current view of the role empiricism must play in building a more robust, fact-based and scientific view of reality. In this venue showcasing the latest technologies and applications in electrical, computer and mechatronic engineering we contend that a sensor system should be considered a scientific device based upon its ability to create repeatable evidence from nature, which our evolving devices now regularly do. © 2023 ieee.

关键词： Electric batteries

来源：评论

学校读者我要写书评

暂无评论

DPLE: A Privacy-Enhanced and Straggler-Resilient distributed Learning Framework for Smart Cloud

DPLE: A Privacy-Enhanced and Straggler-Resilient Distributed...

引用

ieee international conference on Smart Cloud (SmartCloud)

作者： Yilei Xue Jianhua Li Jun Wu School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350389500

ISBN: (纸本)9798350389517

distributed machine learning (DML) encounters issues related to privacy and the presence of straggling nodes in smart cloud systems. Lagrange coded computing offers a partial solution to mitigate these concerns. Nonetheless, the privacy of the system becomes vulnerable when the number of semi-trusted nodes surpasses a specific limit, or when external eavesdroppers are present. To confront this hurdle, we introduce a novel framework for distributed learning called DPLE (Differentially Private Lagrange Encoding). this framework employs Lagrange interpolation polynomials to obscure the original data while introducing redundancy, thus improving privacy safeguards and increasing robustness to straggling nodes. It also incorporates artificial noise into local computation outcomes to protect confidential data from potential exposures. Furthermore, we perform theoretical analyses to identify the necessary variance of this noise to maintain desired privacy levels. Experimental validations confirm the efficacy of DPLE and examine how different settings of system parameters impact the accuracies of the results.

关键词： Wireless communication Training Privacy Interpolation Wireless sensor networks Data privacy Distance learning

来源：评论

学校读者我要写书评

暂无评论

Ai-Driven Strategies for Securing Internet of Battlefield things(IoBT)

Ai-Driven Strategies for Securing Internet of Battlefield Th...

引用

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

作者： Nishant Kumar Krishan Berwal Rajesh Verma S K Vishvakarma Faculty of Communication Engineering Military College of Telecommunication Engineering Mhow MP India Department of EE IIT Indore Indore India

ISBN: (数字)9798331518981

ISBN: (纸本)9798331518998

1 the Internet of Battlefield things (IoBT) represents a significant advancement in modern warfare, leveraging the power of interconnected devices, sensors, and autonomous systems to enhance situational awareness, decision-making, and operational efficiency. However, the increasing complexity and scale of IoBT also introduce significant cyber security challenges, including vulnerabilities to cyber attacks such as distributed Denial of Service (DDoS), data tampering, and adversarial artificial intelligence (AI). this paper explores AI-driven strategies for securing IoBT ecosystems, focusing on leveraging machine learning algorithms, real-time threat detection, and autonomous response systems to mitigate cyber risks. It examines the role of AI in enhancing encryption protocols, identifying anomalous behaviors across battlefield networks, and responding to threats autonomously with minimal human intervention. Additionally, the paper proposes adaptive security frameworks that utilize AI to learn from evolving threats and protect sensitive battlefield information. through a detailed analysis of current cybersecurity challenges and AI applications, this paper aims to contribute to the development of resilient, intelligent defense mechanisms capable of securing future IoBT deployments in dynamic and hostile environments.

关键词： Technological innovation Autonomous systems Decision making Real-time systems threat assessment sensor systems Internet Artificial intelligence Vehicle dynamics Streams

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：