检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

89,028 篇 会议
598 册 图书
350 篇 期刊文献
4 篇 学位论文
1 篇 科技报告

馆藏范围

89,980 篇 电子文献
3 种 纸本馆藏

日期分布

学科分类号

38,471 篇 工学
- 27,649 篇 计算机科学与技术...
- 22,648 篇 软件工程
- 9,289 篇 信息与通信工程
- 8,455 篇 控制科学与工程
- 6,054 篇 电气工程
- 4,317 篇 电子科学与技术（可...
- 3,754 篇 生物工程
- 3,703 篇 机械工程
- 2,738 篇 生物医学工程（可授...
- 2,595 篇 动力工程及工程热...
- 2,175 篇 仪器科学与技术
- 1,884 篇 光学工程
- 1,855 篇 交通运输工程
- 1,639 篇 安全科学与工程
- 1,379 篇 化学工程与技术
- 1,040 篇 网络空间安全
19,404 篇 理学
- 12,564 篇 数学
- 4,028 篇 生物学
- 3,744 篇 系统科学
- 3,694 篇 物理学
- 3,462 篇 统计学（可授理学、...
- 1,386 篇 化学
10,643 篇 管理学
- 7,046 篇 管理科学与工程(可...
- 4,273 篇 图书情报与档案管...
- 3,420 篇 工商管理
2,331 篇 医学
- 2,038 篇 临床医学
- 1,985 篇 基础医学(可授医学...
- 1,266 篇 药学(可授医学、理...
1,358 篇 法学
- 1,189 篇 社会学
1,203 篇 经济学
- 1,200 篇 应用经济学
825 篇 农学
328 篇 教育学
220 篇 文学
194 篇 军事学
48 篇 艺术学
1 篇 哲学

主题

6,020 篇 genetic algorith...
5,137 篇 heuristic algori...
4,506 篇 real-time system...
4,367 篇 accuracy
4,274 篇 algorithm design...
3,866 篇 clustering algor...
3,496 篇 machine learning...
3,424 篇 prediction algor...
3,194 篇 optimization
3,047 篇 feature extracti...
2,939 篇 signal processin...
2,816 篇 computational mo...
2,667 篇 training
2,549 篇 control systems
2,494 篇 classification a...
2,479 篇 predictive model...
2,323 篇 machine learning
2,263 篇 neural networks
2,196 篇 support vector m...
2,124 篇 hardware

机构

193 篇 chitkara univers...
104 篇 school of automa...
98 篇 school of electr...
87 篇 lovely professio...
74 篇 centre of resear...
71 篇 school of comput...
67 篇 school of comput...
47 篇 national mobile ...
46 篇 department of co...
40 篇 chitkara univers...
39 篇 department of co...
38 篇 department of la...
37 篇 school of comput...
35 篇 karnataka bangal...
34 篇 college of compu...
33 篇 school of comput...
33 篇 school of electr...
32 篇 harbin engineeri...
32 篇 school of inform...
32 篇 department of el...

作者

36 篇 lei wang
36 篇 jun wang
34 篇 jian wang
30 篇 hisao ishibuchi
29 篇 li yang
26 篇 yu wang
26 篇 hui wang
25 篇 khalgui mohamed
24 篇 li peng
23 篇 wang jing
22 篇 jun zhang
21 篇 zhang tao
20 篇 rui wang
20 篇 wang lei
19 篇 bin wang
18 篇 zhang lei
17 篇 j. relin francis...
17 篇 amandeep nagpal
16 篇 xi chen
16 篇 vikram kumar

语言

87,353 篇 英文
2,190 篇 其他
509 篇 中文
7 篇 俄文
2 篇 德文
2 篇 法文
1 篇 西班牙文
1 篇 土耳其文
1 篇 乌克兰文

检索条件"任意字段=International Conference on Engineering of Reconfigurable Systems and Algorithms"

共 89981 条记录，以下是611-620 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

2023 9th international conference on Control Science and systems engineering, ICCSSE 2023

2023 9th International Conference on Control Science and Sys...

引用

9th international conference on Control Science and systems engineering, ICCSSE 2023

ISBN: (纸本)9798350339055

The proceedings contain 76 papers. The topics discussed include: TDOA of single sound source localization based on quaternary cross microphone array;event-triggered predictive iterative learning control for nonlinear networked systems under DoS attacks;a new optimal consensus control for nonlinear multi-agent systems;discrete-time optimal control for partially unknown nonlinear systems with asymmetry input constraints;research on resource matching method in reconfigurable intelligent manufacturing system (2023);circuit design of a novel analog multiplier;solving magnetohydrodynamics equations base on improved PINNs;research on vector control system of permanent magnet synchronous motor based on active disturbance rejection control;analysis of spare parts value on life circle cost-effectiveness;and research progress of aquaculture environmental factor prediction model based on machine learning.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Hardware implementation of lightweight cryptographic algorithms: An overview

Hardware implementation of lightweight cryptographic algorit...

引用

2024 international conference Automatics and Informatics, ICAI 2024

作者： Dimitrova, Dilyana Dimitrov, Ivaylo Nikola Vaptsarov Naval Academy Department of Information Technologies Varna Bulgaria Blu11 Ltd Engineering Department Varna Bulgaria

ISBN: (纸本)9798350353907

The main aim of the paper is to evaluate and compare the hardware implementation of three lightweight cryptographic algorithms - SKINNY, ForkAE, and Romulus to determine their efficiency and suitability for IoT environments. Methods used: theoretical analysis and summary. The study indicates that SKINNY shows good results in round-based implementations but is less efficient in serial modes, while ForkAE offers better performance for small message encryption with minimal latency. Romulus is noted for its compact hardware footprint and efficient serial mode operation, making it suitable for low-power applications. These findings underscore the importance of selecting appropriate cryptographic solutions to balance security, performance, and resource constraints in IoT systems. © 2024 IEEE.

关键词： Encryption algorithms

来源：评论

学校读者我要写书评

暂无评论

Developing an Advanced IoT-Enabled Smart Agriculture Management System to Enhance Crop Growth: A Hybrid A-Residual-UNet Based Approach

Developing an Advanced IoT-Enabled Smart Agriculture Managem...

引用

2024 international conference on Intelligent algorithms for Computational Intelligence systems, IACIS 2024

作者： Magadum, Alkawati Goud, Monica Vasundhara, S. Mishra, Nitin Lakshmi, R. Mahima, R. MIT-ADT University College of Management Department of Mca Pune India G.Narayanamma Institute of Technology and Science Department of Humanities and Mathematics Hyderabad India Graphic Era Deemed to be University Department of Civil Engineering Dehradun India Karnataka College of Management and Science Department of Bca Bengaluru India K.Ramakrishnan College of Engineering Department of Electronics and Communication Engineering Trichy India

ISBN: (纸本)9798350360660

An increasing number of factors, including dwindling arable land, dwindling natural resources, and more intense and unpredictable weather events, have put food security at the forefront of international agendas. The agricultural industry is responding to these challenges by implementing "smart agriculture"strategies that make use of big data and the IoT to increase operational efficiency and productivity. The three main components are feature selection, model training, and preprocessing. For the purpose of preprocessing, the proposed approach use zero unitarization and methods for normalizing diagnostic characteristics that are based on the Quotient Transform formula. Both IG and principal component analysis (PCA) are utilized in feature selection. IG outperforms PCA in terms of accuracy. To make the model training process more accurate, we employed the Hybrid-A-Residual-UNet. With an accuracy of 97.55%, the suggested method outperforms its competitors' methods, such as HDA and ResUNet. © 2024 IEEE.

关键词： information gain (IG) principal component analysis (PCA) smart agriculture management

来源：评论

学校读者我要写书评

暂无评论

An Innovative PID Controller Optimization Algorithm for Two-area Power System Frequency Control and Monitoring 9

An Innovative PID Controller Optimization Algorithm for Two-...

引用

9th international conference on Technology and Energy Management, ICTEM 2024

作者： Golshaeian, Sajad Nazari, Mohammad Hassan Hosseinian, Seyed Hossein Amirkabir University of Technology Department of Electrical Engineering Tehran Iran Smart Control Systems Department Tehran Iran

ISBN: (纸本)9798350329797

In this article, the frequency of a Two-Area power system is controlled using a proportional-integral-derivative (PID) controller that is adjusted with optimization algorithms. Classical controllers may not perform optimally under different conditions due to the natural variability of renewable energies and their uncertainties. Multiple algorithms are utilized to enhance the nominal value of the PID controller. parameters in these controllers, including particle swarm optimization (PSO), shuffled frog leaping algorithms (SFLA), and genetic algorithms (GA). By comparing their results, the most efficient method will be determined Using the integral time-absolute error (ITAE) method. MATLAB is employed for simulating the frequency control model of a Two-Area power system. By evaluating the results, it can be seen that strong and appropriate performance, in a wide range of system parameter changes and load changes, can be obtained with the proposed SFLA optimization method in system nonlinearity. Examining the proposed enhanced method in the field of frequency monitoring and control will show a significant improvement compared to the previous algorithms used. © 2024 IEEE.

关键词： Three term control systems

来源：评论

学校读者我要写书评

暂无评论

reconfigurable ROBOT DESIGN AIDED WITH DESIGN CARDS

RECONFIGURABLE ROBOT DESIGN AIDED WITH DESIGN CARDS

引用

ASME international Design engineering Technical conferences / 42nd Annual Computers and Information in engineering conference (IDETC-CIE) / 34th international conference on Design Theory and Methodology (DTM)

作者： Kalimuthu, M. Hayat, A. A. Elara, M. R. Wood, K. L. Singapore Univ Technol & Design Engn Prod Dev 8 Somapah Rd Singapore 487372 Singapore Univ Colorado Coll Engn Design & Comp Innnovat & Engagement 1200 Larimer StSte 3034 Denver CO 80204 USA

ISBN: (纸本)9780791886267

reconfigurable products and systems, or more broadly transformer products and systems, change their state or morphology to perform multiple functions depending on the needs. Such systems continue to play a vital role in developing a wide range of autonomous robotic solutions in the areas of surveillance, cleaning and maintenance, and rescue. Current reconfigurable robotic systems emphasize software, control, and electrical module development, and there is a lack of design aids or suitable mechanisms resulting in reconfiguration. The main research question for this study is: How can the design of reconfigurable robot development be assisted in the early stages, focusing on suitable mechanism recommendations for transformation? Prior published work on reconfigurable systems identified three main transformation principles: expand/collapse, expose/cover, fuse/divide, and twenty facilitators. However, how these underlying principles and facilitators can aid in selecting suitable mechanisms for the required reconfiguration was not addressed. We propose a set of design card mapping the facilitators and principles to aid designers with generating innovative and novel reconfigurable robots. Using the empirical method and observing the motion generated by the range of mechanisms across domains were associated with respective underlying principles and facilitators, resulting in a set of design cards. The limited-scale pilot design study is carried out in this work which poses a design problem to the participants. The proposed design card's usefulness and limitations are established and discussed by comparing the solutions generated with and without the use of design cards.

关键词： Robots Design Robotics Collapse Computer software Surveillance Maintenance

来源：评论

学校读者我要写书评

暂无评论

Physical Rehabilitation System of the Upper Extremities Muscle Dysfunction 17

Physical Rehabilitation System of the Upper Extremities Musc...

引用

17th IEEE international conference on Advanced Trends in Radioelectronics, Telecommunications and Computer engineering, TCSET 2024

作者： Korolovych, Olha Selivanova, Karina Nosova, Yana Tymkovych, Maksym Kharkiv National University of Radioelectronics Department of Biomedical Engineering Kharkiv Ukraine

ISBN: (纸本)9798331520564

In this paper discusses the methods of circuit training, visual analogue pain scale and Total Active Motion. Hardware and biotechnical systems for physical rehabilitation of patients with upper limb muscle dysfunction have been developed. The software for detecting and recording data on the accuracy of various hand positions was developed. The video analysis for hand recognition in the frame was implemented based on computer vision algorithms and by using the OpenCV library. © 2024 IEEE.

关键词： Human rehabilitation equipment

来源：评论

学校读者我要写书评

暂无评论

Exploring Perspectives, Issues, and Practices in the Testing and Quality Validation of AI Software 4

Exploring Perspectives, Issues, and Practices in the Testing...

引用

4th IEEE international conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2024

作者： Jukaria, Mukta Husain, Saif O. Muhsin, Enas Jaafar, Abdul Hassan Majli Hussein, Laith Ali, Sajjad Saadalwan, Ali Graphic Era Hill University School of Computing Uttarakhand Haldwani India The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq Al-Farahidi University Baghdad Iraq Al-kunooze University College Medical Instrument Department Basra Iraq National University of Science and Technology Ettyem College of Technical Engineering Dhi Qar64001 Iraq Kut University College Business Administration Department wasit Al kut52001 Iraq

ISBN: (纸本)9798350360165

Artificial intelligence and big data computing are developing at a fast pace, which has resulted in the creation of several software service systems that use different machine learning models. By processing multimedia data for functions including picture identification, recommendation, decision-making, and prediction, these systems seek to facilitate intelligent decision-making in enterprises. On the other hand, there is growing worry about the rising quality problems that are driving up testing expenses for businesses. This study focuses on the quality assessment of AI software functionality features and tackles the dearth of discussion around testing and quality validation for AI software. This study delves into the efficacy of supervised machine learning (ML) algorithms for addressing the test case prioritization problem. Four distinct ML algorithms, including Ranked Support Vector Machines (SVM Rank), K-Nearest Neighbor (KNN), logistic regression (Log Reg), and neural networks, are meticulously evaluated. Additionally, two ensemble learning strategies, historical ensemble learning and combinatorial ensemble learning, are introduced to further enhance prioritization quality. The evaluation methodology involves computing priority values for test cases and assessing effectiveness primarily through the Average Percentage of Faults Detected (APFD) metric. Results indicate that logistic regression excels among individual ML algorithms, while combining all four approaches yields superior performance. The inclusion of test case description features significantly impacts prioritization quality, with logistic regression consistently outperforming other algorithms across different subject systems. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Innovations in Robotic Equipment for Enhanced Wire-arc DED: Bridging the Gap between Welding and Additive Manufacturing

Innovations in Robotic Equipment for Enhanced Wire-arc DED: ...

引用

2024 OPJU international Technology conference on Smart Computing for Innovation and Advancement in Industry 4.0, OTCON 2024

作者： Kashyap, Ramgopal Aswini, Kilaru Manjunatha Thethi, H. Pal Parmar, Ashish Fiadh, Sadeq Abd Ali Amity University Chhattisgarh India Institute of Aeronautical Engineering Hyderabad Dundigal India New Horizon College of Engineering Department of Mechanical Engineering Bangalore India Lovely Professional University Phagwara India Lloyd Institute of Engineering & Technology Knowledge Park II Uttar Pradesh Greater Noida201306 India National University of Science and Technology Collage of Nursing Dhi Qar64001 Iraq

ISBN: (纸本)9798350373783

The suite of algorithms proposed for Wire-arc Directed Energy Deposition (DED) processes presents a groundbreaking approach to enhancing manufacturing precision and efficiency. These algorithms, individually and collectively, contribute to dynamic control parameters, intelligent toolpath optimization, automated material handling, real-time monitoring, adaptive control, and optimized humanrobot collaboration. Through an ablation study, their integral roles were revealed, showcasing their interconnected significance in achieving superior precision, efficiency, and adaptability. These algorithms collectively represent a new frontier in Wire-arc DED, promising advancements that bridge the gap between welding and additive manufacturing, offering a comprehensive solution for optimizing manufacturing processes. © 2024 IEEE.

关键词： Adaptive control systems

来源：评论

学校读者我要写书评

暂无评论

Security Evaluation of RIS-Aided V2X Communication systems in Low-Speed Scenarios 4

Security Evaluation of RIS-Aided V2X Communication Systems i...

引用

4th IEEE international conference on Digital Twins and Parallel Intelligence, DTPI 2024

作者： Bai, Yongqiang Han, Shuangshuang University of Science and Technology Beijing School of Computer and Communication Engineering Beijing China Key Laboratory of Ocean Observation Technology Mnr Tianjin China

ISBN: (纸本)9798350349252

The security of vehicle-to-everything (V2X) communication systems is of critical importance for intelligent transportation systems. This paper discusses the use of reconfigurable intelligent surface (RIS) technology to enhance the security of V2X systems in the presence of interference from potential eavesdropper. By precisely controlling the RIS, the enhancement of the legitimate user's signal and the interference of the eavesdropper's signal are achieved, which effectively improves the communication confidentiality. High-quality suboptimal solutions are obtained by utilizing alternate optimization and semidefinite relaxation techniques. The simulation results clearly demonstrate that the proposed scheme can markedly enhance the secure communication rate. In addition, the influence of factors such as base station transmit power, user position and RIS element number on the secrecy rate is analyzed, which provides a reference for the further optimization of the security evaluation of the V2X system. © 2024 IEEE.

关键词： Secure communication

来源：评论

学校读者我要写书评

暂无评论

A Review on Leveraging Reinforcement Learning for Enhanced Decision-Making in Power and Energy systems

A Review on Leveraging Reinforcement Learning for Enhanced D...

引用

2024 international conference on Science, Technology, engineering and Management, ICSTEM 2024

作者： Pushpalatha, N. Murugesan, M. Ravi, A. Pal Pandian, P. Kannan, K. Gunapriya, D. Department of Electrical and Electronics Engineering Sri Eshwar College of Engineering Tamilnadu Coimbatore641 202 India Department of Electrical and Electronics Engineering Karpagam Institute of Technology Tamilnadu India Department of Electrical and Electronics Engineering K.S.R College of Engineering Tamilnadu India Department of Electrical and Electronics Engineering Karpagam College of Engineering Tamilnadu India Department of Electrical and Electronics Engineering Annapoorna Engineerin College Tamilnadu India

ISBN: (纸本)9798350376913

Reinforcement learning (RL) is a potential method for tackling difficult decision-making problems in power and energy systems. This review paper presents a thorough examination of the utilization of reinforcement learning (RL) methods in many areas of power and energy systems. These areas encompass demand-side management, energy optimization, grid control, and the integration of renewable energy. Through the utilization of RL algorithms, researchers and practitioners have successfully created intelligent and adaptable solutions that improve the efficiency, dependability, and sustainability of systems. This work analyses the theoretical underpinnings of reinforcement learning (RL), investigates its implementation in several domains of power and energy systems, deliberates on the obstacles and constraints, and proposes potential avenues for further research. This paper emphasizes the significant impact of Reinforcement Learning (RL) on the future of power and energy systems. By examining case studies and current breakthroughs, it showcases how RL has the ability to revolutionize these systems, making them more efficient and sustainable. © 2024 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 58 59 60 61 62 63 64 65 66 67 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：