检索结果-内蒙古大学图书馆

14th International Conference on Information Science and Technology, ICIST 2024

作者： Zhang, Dan Li, Tieshan Chen, C.L. Philip Zuo, Yi College of Mechanical and Electrical Engineering Dalian Minzu University Dalian China College of Automation Engineering University of Electronic Science and Technology Chengdu China College of Computer Science and Engineering South China University of Technology Guangzhou China College of Navigation Dalian Maritime University Dalian China

ISBN: (纸本)9798350353334

Although some fruits have a fixed shape, but the growth process, the shape will still be different, different fruit shape has a certain impact on the subsequent fruit classification and selection. In order to realize fruit shape classification quickly and accurately, a novel fruit shape classification method based on level set and broad learning system(BLS) is proposed in this paper. Firstly, fruit shape information is extracted based on level set, then fruit image information is extracted based on BLS, and finally, shape information and fruit information are fused to carry out fruit shape classification research. The method was applied to the classification of the fruit shape, and the experimental results showed the effectiveness of the proposed method. © 2024 IEEE.

关键词： broad learning system fruit shape classification level set

来源：评论

学校读者我要写书评

暂无评论

Deep Dive into Brain Tumor Classification: Transfer Learning with Convolutional Neural Networks 1

Deep Dive into Brain Tumor Classification: Transfer Learning...

引用

1st International Conference on Innovative engineering Sciences and Technological Research, ICIESTR 2024

作者： Dahri, Fida Hussain Ahmad Dahri, Nisar Soomro, Dainyal Badar Channa, Irfan Ali Abro, Ghulam E. Mustafa Southeast University School of Computer Science and Engineering Nanjing China Universiti Teknologi Malaysia Malaysia Chongqing University School of Computer Science and Engineering Chongqing China Institute of Automation Beijing University of Chemical Technology Beijing China Interdisciplinary Research Centre for Aviation and Space Exploration King Fahad University of Petroleum and Minerals Saudi Arabia

ISBN: (纸本)9798350348637

It is important to identify brain tumors and their type and stage and choose the most suitable treatment. In therapeutic therapy, brain tumors are identified via several diagnostic tests. This research study focuses on assessing and comparing the CNN pre-trained models' accuracy for brain tumor classification and identification using deep transfer learning approaches and leveraging the transfer learning-based Convolutional Neural Networks (CNNs) pre-trained models, including VGG19, VGG16, InceptionV3, ResNet50, and InceptionResNetV2. We utilized the dataset of brain tumor images from Kaggle. The experimental findings show that the VGG16 pre-trained model has the highest accuracy (90%) compared to other CNN pre-trained models. The findings promise significant contributions to medical image analysis, fostering advancements in AI-powered tools for better brain tumor diagnosis and patient care. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Resilient Platooning Control of Connected Automated Vehicles in the Presence of Cyber-attacks

Resilient Platooning Control of Connected Automated Vehicles...

引用

IEEE Conference on Decision and Control

作者： Azwirman Gusrialdi Muhammad Iqbal Zhihua Qu Automation and Mechanical Engineering unit Tampere University Finland Department of Electrical Engineering and Automation Aalto University Finland Department of Electrical and Computer Engineering University of Central Florida USA

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

This paper considers the problem of platooning control of connected automated vehicles under cyber-attacks. Specifically, the attacker aims to prevent the follower vehicle from maintaining a pre-defined safe distance from its immediate predecessor by manipulating the measurement of the on-board radar and inserting bounded injections into the communication links and actuators of the follower vehicles. A novel distributed resilient control is proposed which does not require any assumptions on the number of attacks. It is shown that by appropriately designing the information being exchanged between the vehicles, the resilient control ensures that the follower vehicles converge to the leader vehicle’s velocity and constant distance between the vehicles in presence of any number of attacks. Furthermore, the proposed resilient control also enables attack detection and identification in real-time and distributed manner. A Numerical example demonstrates the effectiveness of the proposed strategy.

关键词： Actuators Radar measurements Radar Real-time systems Cyberattack

来源：评论

学校读者我要写书评

暂无评论

Modeling of a Decentralized System for Maintenance of Production Equipment Based on Transport Robots 5

Modeling of a Decentralized System for Maintenance of Produc...

引用

5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Nevliudov, Igor Novoselov, Sergiy Sychova, Oksana Mospan, Denis Klymenko, Oleksandr Automation and Mechatronics Kharkiv National University of Radioelectronics Department of Computer-Integrated Technologies Kharkiv Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Department of Computer Engineering and Electronics Kremenchuk Ukraine «kapelou» Llc Kyiv Ukraine

ISBN: (纸本)9798350359787

The work describes the principle of organizing the maintenance process of production equipment at a modern enterprise based on transport robots. Based on the analysis, the principle of organizing the movement of intelligent autonomous mobile robots is proposed, which combines the principle of a dedicated lane for the movement of transport robots and a grid of reference points through which the paths of many possible trajectories can be laid. The structure of the software that simulates the work of robotic production using autonomous mobile robots is described. The program is built according to the principles of a multi-agent system, where each mobile robot is represented as an independent software agent. Algorithms of the software tool are described. Examples of the results of modeling the behavior of software robots are provided. The results of experimental studies are presented. © 2023 IEEE.

关键词： Industry 4.0

来源：评论

学校读者我要写书评

暂无评论

Target tracking method of Siamese networks based on the broad learning system

引用

CAAI Transactions on Intelligence Technology 2023年第3期8卷 1043-1057页

作者： Dan Zhang C.L.Philip Chen Tieshan Li Yi Zuo Nguyen Quang Duy Navigation College Dalian Maritime UniversityDalianChina Innovation and Entrepreneurship Education College Dalian Minzu UniversityDalianChina Computer Science and Engineering College South China University of TechnologyGuangzhouChina Department of Computer and Information Science Faculty of Science and TechnologyUniversity of MacaoMacaoChina School of Automation Engineering University of Electronic Science and Technology of ChinaChengduChina Faculty of Navigation Vietnam Maritime UniversityHaiphongVietnam

Target tracking has a wide range of applications in intelligent transportation,real‐time monitoring,human‐computer interaction and other ***,in the tracking process,the target is prone to deformation,occlusion,loss,scale variation,background clutter,illumination variation,etc.,which bring great challenges to realize accurate and real‐time *** based on Siamese networks promotes the application of deep learning in the field of target tracking,ensuring both accuracy and real‐time ***,due to its offline training,it is difficult to deal with the fast motion,serious occlusion,loss and deformation of the target during ***,it is very helpful to improve the performance of the Siamese networks by learning new features of the target quickly and updating the target position in time *** broad learning system(BLS)has a simple network structure,high learning efficiency,and strong feature learning *** at the problems of Siamese networks and the characteristics of BLS,a target tracking method based on BLS is *** method combines offline training with fast online learning of new features,which not only adopts the powerful feature representation ability of deep learning,but also skillfully uses the BLS for re‐learning and re‐*** broad re‐learning information is used for re‐detection when the target tracking appears serious occlusion and so on,so as to change the selection of the Siamese networks search area,solve the problem that the search range cannot meet the fast motion of the target,and improve the *** results show that the proposed method achieves good results on three challenging datasets and improves the performance of the basic algorithm in difficult scenarios.

关键词： broad learning system siamese network target tracking

来源：评论

学校读者我要写书评

暂无评论

Synthesis, Analysis and Implementation of Partial Counters Using Integrated Circuits 32

Synthesis, Analysis and Implementation of Partial Counters U...

引用

32nd International Scientific Conference Electronics, ET 2023

作者： Borodzhieva, Adriana N. Pandzhar, Atila G. Nedelchev, Martin N. Genov, Nikolay G. University of Ruse "Angel Kanchev" Faculty of Electrical Engineering Electronics and Automation Department of Telecommunications 8 Studentska Street Ruse7017 Bulgaria University of Ruse "Angel Kanchev" Faculty of Electrical Engineering Electronics and Automation Department of Computer Systems and Technologies 8 Studentska Street Ruse7017 Bulgaria

ISBN: (纸本)9798350302004

The paper presents the processes of synthesis, analysis, and implementation of counters and frequency dividers using integrated circuits from the 74xx library. All the synthesized circuits are built and tested in Logisim. The work is related to the Teamwork Project in the course "Digital Circuits"for students-bachelors of the "computer Systems and Technologies"specialty at the University of Ruse. © 2023 IEEE.

关键词： Flip flop circuits

来源：评论

学校读者我要写书评

暂无评论

Self-adaptive Bat Algorithm With Genetic Operations

引用

IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1284-1294页

作者： Jing Bi Haitao Yuan Jiahui Zhai MengChu Zhou H.Vincent Poor School of Software Engineering Faculty of Information TechnologyBeijing University of TechnologyBeijing 100124China Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewark NJ 07102 USA School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China Department of Electrical Engineering Princeton UniversityPrinceton NJ 08544 USA IEEE

Swarm intelligence in a bat algorithm(BA)provides social *** operations for reproducing individuals in a genetic algorithm(GA)offer global search ability in solving complex optimization *** integration provides an opportunity for improved search ***,existing studies adopt only one genetic operation of GA,or design hybrid algorithms that divide the overall population into multiple subpopulations that evolve in parallel with limited interactions *** from them,this work proposes an improved self-adaptive bat algorithm with genetic operations(SBAGO)where GA and BA are combined in a highly integrated ***,SBAGO performs their genetic operations of GA on previous search information of BA solutions to produce new exemplars that are of high-diversity and *** by these exemplars,SBAGO improves both BA’s efficiency and global search *** evaluate this approach by using 29 widely-adopted problems from four test *** is also evaluated by a real-life optimization problem in mobile edge computing *** results show that SBAGO outperforms its widely-used and recently proposed peers in terms of effectiveness,search accuracy,local optima avoidance,and robustness.

关键词： Bat algorithm(BA) genetic algorithm(GA) hybrid algorithm learning mechanism meta-heuristic optimization algorithms

来源：评论

学校读者我要写书评

暂无评论

Approximation Schemes for Geometric Knapsack for Packing Spheres and Fat Objects 51

Approximation Schemes for Geometric Knapsack for Packing Sph...

引用

51st International Colloquium on Automata, Languages, and Programming, ICALP 2024

作者： Acharya, Pritam Bhore, Sujoy Gupta, Aaryan Khan, Arindam Mondal, Bratin Wiese, Andreas Department of Mathematics Indian Institute of Science Education and Research Pune India Department of Computer Science and Engineering Indian Institute of Technology Bombay India Department of Computer Science and Automation Indian Institute of Science Bengaluru India Department of Mathematics Technical University of Munich Germany

ISBN: (纸本)9783959773225

We study the geometric knapsack problem in which we are given a set of d-dimensional objects (each with associated profits) and the goal is to find the maximum profit subset that can be packed non-overlappingly into a given d-dimensional (unit hypercube) knapsack. Even if d = 2 and all input objects are disks, this problem is known to be NP-hard [Demaine, Fekete, Lang, 2010]. In this paper, we give polynomial time (1 + Ε)-approximation algorithms for the following types of input objects in any constant dimension d: disks and hyperspheres, a class of fat convex polygons that generalizes regular k-gons for k ≥ 5 (formally, polygons with a constant number of edges, whose lengths are in a bounded range, and in which each angle is strictly larger than π/2), arbitrary fat convex objects that are sufficiently small compared to the knapsack. We remark that in our PTAS for disks and hyperspheres, we output the computed set of objects, but for a OΕ(1) of them we determine their coordinates only up to an exponentially small error. However, it is not clear whether there always exists a (1 + Ε)-approximate solution that uses only rational coordinates for the disks’ centers. We leave this as an open problem which is related to well-studied geometric questions in the realm of circle packing. © Pritam Acharya, Sujoy Bhore, Aaryan Gupta, Arindam Khan, Bratin Mondal, and Andreas Wiese.

关键词： Approximation algorithms

来源：评论

学校读者我要写书评

暂无评论

The Immense Impact of Reverse Edges on Large Hierarchical Networks

引用

engineering 2024年第5期36卷 240-249页

作者： Haosen Cao Bin-Bin Hu Xiaoyu Mo Duxin Chen Jianxi Gao Ye Yuan Guanrong Chen Tamás Vicsek Xiaohong Guan Hai-Tao Zhang MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems State Key Laboratory of Intelligent Manufacturing Equipment and TechnologySchool of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Jiangsu Key Laboratory of Networked Collective Intelligence School of MathematicsSoutheast UniversityNanjing 210096China Department of Computer Science Rensselaer Polytechnic InstituteTroyNY 12180USA Department of Electronic Engineering City University of Hong KongHong Kong 999077China Department of Biological Physics Eötvös UniversityBudapest 1117Hungary MOE Key Laboratory for Intelligent Networks and Network Security School of Automation Science and EngineeringXi’an Jiaotong UniversityXi’an 710049China

Hierarchical networks are frequently encountered in animal groups,gene networks,and artificial engineering systems such as multiple robots,unmanned vehicle systems,smart grids,wind farm networks,and so *** structure of a large directed hierarchical network is often strongly influenced by reverse edges from lower-to higher-level nodes,such as lagging birds’howl in a flock or the opinions of lowerlevel individuals feeding back to higher-level ones in a social *** study reveals that,for most large-scale real hierarchical networks,the majority of the reverse edges do not affect the synchronization process of the entire network;the synchronization process is influenced only by a small part of these reverse edges along specific *** surprisingly,a single effective reverse edge can slow down the synchronization of a huge hierarchical network by over 60%.The effect of such edges depends not on the network size but only on the average in-degree of the involved *** overwhelming majority of active reverse edges turn out to have some kind of“bunching”effect on the information flows of hierarchical networks,which slows down synchronization *** finding refines the current understanding of the role of reverse edges in many natural,social,and engineering hierarchical networks,which might be beneficial for precisely tuning the synchronization rhythms of these *** study also proposes an effective way to attack a hierarchical network by adding a malicious reverse edge to it and provides some guidance for protecting a network by screening out the specific small proportion of vulnerable nodes.

关键词： Synchronizability Large hierarchical networks Reverse edges Information flows Complex networks

来源：评论

学校读者我要写书评

暂无评论

A Comparative Analysis of Transient Analysis Results for DC-DC Regulator in PSpice, Tina, and LTspice 5

A Comparative Analysis of Transient Analysis Results for DC-...

引用

5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Vince, Tibor Cizmarik, Dominik Dziak, Jozef Mamchur, Dmytro Anna, Iudina Vitalii, Naida Technical University in Kosice Department of Theoretical and Industrial Electrical Engineering Fei Kosice Slovakia Kremenchuk Mykhailo Ostrohradskyi National University Department of Computer Engineering and Electronics Kremenchuk Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Department of Automation and Computer Systems Kremenchuk Ukraine

ISBN: (纸本)9798350359787

The paper presents a comparative analysis of the simulation results of a DC-DC buck regulator based on LM2595 on three different simulation platforms: PSpice, LTspice, and Tina. The comparative analysis includes visual comparison of selected waveforms, comparison of statistical parameters of the observed signals, and comparison based on time step signal analysis. The simulation was performed using three different maximal time step conditions. The research focused on examining the differences caused by different simulation platforms under the same maximal time step condition, as well as the differences caused by different maximal time step conditions within a single simulation platform. This analysis is crucial, particularly when comparing different simulation Spice models that require simulations to be conducted on various simulation platforms. By comparing the results obtained from different platforms under the same simulation conditions, the impact of the simulation platform on the accuracy and behavior of the models can be assessed. © 2023 IEEE.

关键词： Simulation platform

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：