检索结果-内蒙古大学图书馆

27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024

作者： Patil, Unmesh Choi, Jinhong Abbas, Houssam Oregon State University Department of Electrical Engineering and Computer Science CorvallisOR97330 United States

ISBN: (纸本)9798331505929

We present an opportunistic method to comman-deer already-flying UAVs for herding malfunctioning UAVs to safety. Malfunctioning UAVs, which deviate from their path due to a planning or a communication failure, pose a safety risk, and it is important to develop methods for mitigating that risk in various circumstances. Here we focus on the case when the Defender (e.g. the airport authority or provider of service) cannot deploy its own UAVs, and taking down the malfunctioning UAV poses an unacceptable risk to people on the ground. In such a case, we propose that the Defender commandeer other flying UAVs to herd the malfunctioning UAV to safety by temporarily spoofing their state estimate. Leveraging Remote ID (a new FAA requirement for UAVs) and existing methods for spoofing state estimation, the Defender dynamically adapts its herding to the evolving situation, effectively guiding malfunctioning UAVs away from restricted airspace or sensitive zones. Our results, validated through extensive simulations (studying multiple herder and target configurations) and small-scale real-world experiments, demonstrate the efficacy of our approach in mitigating UAV intrusion incidents and enhancing airspace security. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

Hyperspectral Unmixing-Based Anomaly Detection 7

Hyperspectral Unmixing-Based Anomaly Detection

引用

Computational Imaging VII 2023

作者： Younis, Mohammed Hossain, Mazharul Robinson, Aaron Wang, Lan Preza, Chrysanthe Electrical and Computer Engineering Department China Computer Science Department The University of Memphis MemphisTN United States

ISBN: (数字)9781510661615

ISBN: (纸本)9781510661608

Research supporting improved anomaly detection performance benefits a wide range of technical applications. Thus, the definition of anomalies and the subsequent means to detect them are wide-ranging. This treatment presents an overview of the development of an anomaly detection approach based on spectral signatures obtained with hyperspectral unmixing. Anomaly Detection is a binary classification that does not require prior information about the anomaly. For example, an anomaly detector applied to hyperspectral imaging (HSI) would take a hyperspectral image with hundreds of channels as an input and output a two-dimensional image map of pixel intensities based on a threshold procedure applied to the probability of that pixel being an anomaly. There have been many advancements in the field of HSI Anomaly Detection. Our ensemble method algorithm, presented here, addresses some of the shortcomings of current state-of-the-art techniques. We present details about the extracted end-members and use them for effective anomaly detection. Our current ensemble method opens the path for future machine-learning processes. We evaluated our method on multiple datasets and reported the F1-macro score. We suggest that the Area Under the Curve (AUC) of the Receiver Operating Characteristic (ROC) curve should not be used in Hyperspectral anomaly detection as an evaluation metric. © 2023 SPIE. All rights reserved.

关键词： Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

Digital Twin Based Asynchronous Federated Learning Enabled IDS for False Data Injection Attacks in Vehicular CPS 8

Digital Twin Based Asynchronous Federated Learning Enabled I...

引用

8th International Conference on computer, Software and Modeling, ICCSM 2024

作者： Safavat, Sunitha Rawat, Danda B. Howard University Department of Electrical Engineering and Computer Science WashingtonDC20059 United States

ISBN: (纸本)9798350367133

Cyber Physical Systems (CPS) consist of integration of cyber and physical spaces through computing, communication, and control operations. In vehicular CPS, modern vehicles with multiple Electronic Control Units (ECUs) and networking with other vehicles help autonomous driving. Vehicular CPS is vulner-able to multitude of cyber attacks, including false data injection attacks. This paper presents an Asynchronous Federated Learning (AFL) with a Gated Recurrent Unit (GRU) model for identifying False Data Injection (FDI) attacks in a VCPS. The AFL model continuously monitors the network and constructs a digital twin using the data obtained from a VCPS for intrusion detection. The proposed model is evaluated using different evaluation metrics. Numerical results show that the AFL model outperforms other existing models. © 2024 IEEE.

关键词： Cyber attacks

来源：评论

学校读者我要写书评

暂无评论

Deep learning-based vehicle event identification

引用

Multimedia Tools and Applications 2024年第41期83卷 89439-89457页

作者： Chen, Yen-Yu Chen, Jui-Chi Lian, Zhen-You Chiang, Hsin-You Huang, Chung-Lin Chuang, Cheng-Hung Department of Artificial Intelligence and Computer Engineering National Chin-Yi University of Technology No.57 Sec. 2 Zhongshan Rd. Taichung411030 Taiwan Department of Computer Science and Information Engineering Asia University Taichung Japan Department of Electrical Engineering National Tsing Hua University Hsinchu Taiwan

In recent years, there has been a rapid development of intelligent driving assistance systems. Although most vehicles nowadays are equipped with driving assistance systems, the number of car accidents continues to rise. The main cause of car accidents is still largely attributed to human factors. Therefore, there has been an increasing focus on research related to vehicle event recognition and traffic video analysis. This study used deep learning methods to automatically recognize vehicle events from recorded driving videos. We expanded Inception-V3 to a 3D structure and replaced the bottom architecture of SlowFastNet with 3D-Inception-V3 to form a 3D-Inception-V3 + SlowFastNet model, making the network more suitable for video data recognition. In the experiment, we cut all videos into one-second clips and label each clip with vehicle event categories, including vehicle stopping, straight driving, turning, and collision. The experiment utilized training and testing procedures with eight distinct models, i.e., R3D, I3D, I3D + Kinetics-400, SlowFastNet(50), SlowFastNet(101), SlowFastNet(152), SlowFastNet(200), and the proposed 3D-Inception-V3 + SlowFastNet models. Comparative analysis through experiments revealed that our proposed network achieved the highest recognition accuracy of 93.3%. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Energy and Latency Optimization in Edge-Fog-Cloud Computing for the Internet of Medical Things

引用

computer Systems science & engineering 2023年第10期47卷 1299-1319页

作者： Hatem A.Alharbi Barzan A.Yosuf Mohammad Aldossary Jaber Almutairi Department of Computer Engineering College of Computer Science and EngineeringTaibah UniversityMadinahSaudi Arabia School of Electronic and Electrical Engineering University of LeedsLeedsU.K Department of Computer Science College of Arts and SciencePrince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Computer Science College of Computer Science and EngineeringTaibah UniversityMadinahSaudi Arabia

In this paper,the Internet ofMedical Things(IoMT)is identified as a promising solution,which integrates with the cloud computing environment to provide remote health monitoring solutions and improve the quality of service(QoS)in the healthcare ***,problems with the present architectural models such as those related to energy consumption,service latency,execution cost,and resource usage,remain a major concern for adopting IoMT *** address these problems,this work presents a four-tier IoMT-edge-fog-cloud architecture along with an optimization model formulated using Mixed Integer Linear Programming(MILP),with the objective of efficiently processing and placing IoMT applications in the edge-fog-cloud computing environment,while maintaining certain quality standards(e.g.,energy consumption,service latency,network utilization).A modeling environment is used to assess and validate the proposed model by considering different traffic loads and processing *** comparison to the other existing models,the performance analysis of the proposed approach shows a maximum saving of 38%in energy consumption and a 73%reduction in service *** results also highlight that offloading the IoMT application to the edge and fog nodes compared to the cloud is highly dependent on the tradeoff between the network journey time saved *** extra power consumed by edge or fog resources.

关键词： Internet of medical things(IoMT) e-healthcare edge-fog-cloud computing remote monitoring energy consumption computation offloading

来源：评论

学校读者我要写书评

暂无评论

Dual Function Photovoltaic System for Power Quality Enhancement and Power Generation 25

Dual Function Photovoltaic System for Power Quality Enhancem...

引用

25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Abdalla, Ammar Atif El Moursi, Mohamed Shawky El-Fouly, Tarek H. M. Al Hosani, Khalifa Hassan Khalifa University Department Of Electrical Engineering And Computer Science Abu Dhabi United Arab Emirates

ISBN: (纸本)9798350340266

This paper presents a novel dual-function photovoltaic (PV) inverter design that simultaneously offers power generation and power quality enhancement. It details a thorough design process for the inverter control system, tasked with extracting maximum power from the PV system and integrating it into the grid. Moreover, the inverter doubles as a shunt active filter, detecting and mitigating harmonic currents from the load. The control scheme also incorporates a series active filter to correct voltage imbalances from the grid, providing voltage stability during sags and swells. The novelty of this research lies in the controller design process, seamlessly integrating the PV system with a Unified Power Quality Conditioner (UPQC), which comprises both series (SEF) and shunt active power filters (SAPF), enabling coordinated operation between the PV system and UPQC. The paper details the development and performance evaluation of a three-phase PV-UPQC system, incorporating a dual-stage 17-kW PV array. The system's efficacy under various conditions-including voltage sags, swells, changes in irradiance, unbalanced loads, and load fluctuations-was rigorously tested. The study shows that the PV-UPQC system significantly improves power quality at optimal PV operation, advancing the integration of photovoltaic technology with power quality solutions. © 2024 IEEE.

关键词： Power quality

来源：评论

学校读者我要写书评

暂无评论

A machine learning approach for skin lesion classification on iOS: implementing and optimizing a convolutional transfer learning model with Create ML

引用

International Journal of computers and Applications 2024年第8期46卷 666-685页

作者： Benedek Szabo, Aron Katona, Jozsef Department of Software Development and Application Institute of Computer Engineering University of Dunaujvaros Dunaujvaros Hungary Department of Instrumentation and Automation Institute of Electronics and Communication Systems Kandó Kálmán Faculty of Electrical Engineering Obuda University Budapest Hungary Department of Informatics GAMF Faculty of Engineering and Computer Science Kecskemét Hungary

The integration of machine learning (ML) into mobile applications presents unique challenges, particularly in resource-constrained environments such as iOS devices. Skin lesion classification is a critical task in dermatology, where accurate and efficient diagnostic tools can significantly aid in early detection of malignant lesions. This study aims to implement a machine learning-based iOS mobile application and develop a binary classification model for skin lesion images to determine whether a lesion is malignant. The research utilized Create ML to develop a convolutional neural network optimized for iOS, employing a transfer learning approach. A logistic regression model was cascaded with the convolutional neural network N to enhance classification accuracy. The model's performance was assessed through various validation metrics, ensuring its robustness and efficiency within the constraints of mobile hardware. A curated dataset from the International Skin Imaging Collaboration archive was used for training and testing. The model achieved an accuracy of 92%, a precision of 90%, a recall of 93%, and an F1-score of 91% in classifying skin lesions. These metrics validate the model's efficacy in identifying malignant lesions. Data curation involved collecting, labeling, and preparing a dataset from publicly available sources, ensuring the inclusion of diagnostically relevant features. The final model was integrated into an iOS application using Core ML and Vision frameworks. The developed application demonstrates reliable performance in classifying skin lesions with high accuracy on iOS devices. The inclusion of comprehensive performance metrics justifies the efficacy of the proposed approach. Future work will explore enhancements in model architecture and object detection capabilities to further improve diagnostic precision and application usability. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Image recognition

来源：评论

学校读者我要写书评

暂无评论

Temperature Sensing Readout Circuits with 4H-SiC Technology 10

Temperature Sensing Readout Circuits with 4H-SiC Technology

引用

10th IEEE International Symposium on Smart Electronic Systems, iSES 2024

作者： Khan, Md Asif Bahubalindruni, Pydi Ganga May, Alexander Rossi, Chiara Rommel, Mathias IISER Department of Electrical Engineering and Computer Science Bhopal462066 India IISB Fraunhofer Germany

ISBN: (纸本)9798331533229

4H-Silicon Carbide (4H-SiC) technology is well known for its superior thermal conductivity, high-temperature stability, and robustness in harsh environments. This paper presents three distinct temperature-sensing readout circuits (a PMOS array, an NMOS array, and a CMOS-based ring os-cilia tor) utilizing this technology. The readout circuits with PMOS and NMOS arrays are showing Proportional to Absolute Temperature (PTAT) behavior. For a temperature range of 25-200 ° C, these designs are showing a sensitivity of 26.8 mV/ ° C (PMOS array) and 19.60 mV/° C (NMOS array), respectively, at a VDD of 20 V. At the same power supply voltage a 7-stage CMOS ring oscillator-based sensor which gives the digital output, is showing a sensitivity of 44.01 kHz °C and a power consumption of 2.14 m W. These readout circuits find potential applications in implementing on-chip temperature sensing systems. © 2024 IEEE.

关键词： CMOS integrated circuits

来源：评论

学校读者我要写书评

暂无评论

Stochastic Unit Commitment with High-Penetration Offshore Wind Power Generation in Typhoon Scenarios

引用

Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 535-546页

作者： Yanqi Liu Dundun Liu Hongcai Zhang State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering University of MacaoMacao 999078China University of Macao Zhuhai UM Science and Technology Research Institute ZhuhaiChina

To tackle the energy crisis and climate change,wind farms are being heavily invested in across the *** China's coastal areas,there are abundant wind resources and numerous offshore wind farms are being *** secure operation of these wind farms may suffer from typhoons,and researchers have studied power system operation and resilience enhancement in typhoon ***,the intricate movement of a typhoon makes it challenging to evaluate its spatial-temporal *** published papers only consider predefined typhoon trajectories neglecting *** address this challenge,this study proposes a stochastic unit commitment model that incorporates high-penetration offshore wind power generation in typhoon *** adopts a data-driven method to describe the uncertainties of typhoon trajectories and considers the realistic anti-typhoon mode in offshore wind farms.A two-stage stochastic unit commitment model is designed to enhance power system resilience in typhoon *** formulate the model into a mixed-integer linear programming problem and then solve it based on the computationally-efficient progressive hedging algorithm(PHA).Finally,numerical experiments validate the effectiveness of the proposed method.

关键词： Unit commitment two-stage stochastic programming offshore wind farm typhoon

来源：评论

学校读者我要写书评

暂无评论

Effect of stator winding chording on the performance of five phase synchronous reluctance motor

Journal of Energy Systems

引用

Journal of Energy Systems 2024年第1期8卷 11-26页

作者： Umoh, Gideon David Obe, Desmond Obinna Mama, Benjamin Okwudilili Obe, Pauline Ijeoma Ugwuishiwu, Chikodili Helen Eneh, Hyacinth Agozie Obe, Emeka Simon Maritime Academy Electrical Engineering Department Akwa Ibom State Oron Nigeria James Cook University College of Science and Engineering QLD Australia University of Nigeria Civil Engineering Department Enugu State Nsukka Nigeria University of Nigeria Industrial Technical Education Department Enugu State Nsukka Nigeria University of Nigeria Computer Science Department Enugu State Nsukka Nigeria Botswana International University Electrical Computer and Telecommunications Engineering Department Palapye Botswana

The effect of winding chording on five-phase synchronous reluctance motor (SRM) modelled in phase variables is presented. The stator winding configuration is shifted a pole pitch from a full-pitch configuration to a 54 degrees over-full-pitched configuration incorporating the effect of 3rd harmonic of the air-gap magneto-motive force in the inductance equations. The models are monitored on starting, synchronism, loading, faults and loss of synchronism. These are considered simultaneously with vector potential, rotor speed, air-gap flux linkage and winding current. The phase variable (analytical) models have been simulated by using MATLAB/Simulink software while ANSYS Maxwell software has been used to simulate the finite element model (FEM) of the motor for corresponding chording ranges for comparison on direct online starting (DOL). Under all conditions considered in the work, the detailed results are presented and very close similarity is observed between the analytical and the nearly ideal FEM model for all chording ranges and the similarity is enhanced with increase in chording angle. © 2024 Published by peer-reviewed open access scientific journal, JES at DergiPark (https://***/jes)

关键词： Finite element method

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：