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

1,291 篇 会议
632 篇 期刊文献
10 册 图书

馆藏范围

1,933 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,045 篇 工学
- 525 篇 计算机科学与技术...
- 442 篇 软件工程
- 421 篇 控制科学与工程
- 209 篇 电气工程
- 167 篇 机械工程
- 159 篇 信息与通信工程
- 100 篇 电子科学与技术（可...
- 88 篇 生物工程
- 77 篇 生物医学工程（可授...
- 76 篇 仪器科学与技术
- 71 篇 光学工程
- 66 篇 动力工程及工程热...
- 49 篇 力学（可授工学、理...
- 43 篇 交通运输工程
- 38 篇 材料科学与工程（可...
- 34 篇 化学工程与技术
- 34 篇 安全科学与工程
- 31 篇 航空宇航科学与技...
555 篇 理学
- 295 篇 数学
- 162 篇 物理学
- 104 篇 系统科学
- 95 篇 生物学
- 79 篇 统计学（可授理学、...
- 35 篇 化学
200 篇 管理学
- 159 篇 管理科学与工程(可...
- 55 篇 工商管理
- 45 篇 图书情报与档案管...
62 篇 医学
- 55 篇 临床医学
- 38 篇 基础医学(可授医学...
- 28 篇 药学(可授医学、理...
23 篇 法学
18 篇 农学
17 篇 经济学
4 篇 教育学
2 篇 艺术学
1 篇 文学
1 篇 军事学

主题

139 篇 intelligent robo...
100 篇 control systems
100 篇 intelligent syst...
86 篇 laboratories
82 篇 robot sensing sy...
79 篇 mobile robots
69 篇 neural networks
48 篇 robots
46 篇 robot kinematics
44 篇 robustness
40 篇 power systems
40 篇 navigation
39 篇 feature extracti...
37 篇 adaptive control
36 篇 artificial intel...
35 篇 testing
35 篇 training
34 篇 humans
32 篇 cameras
32 篇 computational mo...

机构

51 篇 institutes for r...
37 篇 key laboratory o...
25 篇 shenyang institu...
24 篇 state key labora...
24 篇 zhejiang enginee...
24 篇 school of automa...
23 篇 university of ch...
22 篇 beijing key labo...
22 篇 school of electr...
21 篇 department of el...
21 篇 real-time power ...
20 篇 intelligent wave...
19 篇 hubei key labora...
19 篇 intelligent syst...
18 篇 ieee
18 篇 photonic systems...
18 篇 school of electr...
16 篇 seventh research...
16 篇 school of electr...
14 篇 research center ...

作者

60 篇 ganesh k. venaya...
31 篇 venayagamoorthy ...
27 篇 g.k. venayagamoo...
24 篇 yu sunkyu
24 篇 junping du
24 篇 fashan yu
24 篇 yingmin jia
22 篇 stjepan bogdan
21 篇 park namkyoo
19 篇 g.g. yen
19 篇 yang guanghua
18 篇 ma shaodan
17 篇 witold pedrycz
17 篇 m. jamshidi
16 篇 pedrycz witold
16 篇 min wu
16 篇 luefeng chen
15 篇 tao zhang
15 篇 l. kleeman
14 篇 ganesh kumar ven...

语言

1,723 篇 英文
184 篇 其他
27 篇 中文
1 篇 德文
1 篇 法文

检索条件"机构=Robotics and Intelligent Systems Laboratory Electrical and Computer Engineering"

共 1933 条记录，以下是1291-1300 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：

Adaptive multi-class support vector machine for microarray classification and gene selection

Adaptive multi-class support vector machine for microarray c...

引用

SICE Annual Conference

作者： Juntao Li Yingmin Jia Junping Du Fashan Yu Department of Systems and Control Beihang University Beijing China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan China

This paper proposes an adaptive multi-class support vector machine for simultaneous microarray classification and gene selection. By evaluating the gene ranking significance, the adaptive multi-class support vector machine is shown to encourage an adaptive grouping effect in the process of building classifiers, thus leading a sparse multi-classifiers with enhanced interpretability. Based on a reasonable correlation between the two regularization parameters, an efficient solution path algorithm is developed for solving the proposed support vector machine. Experiments performed on the leukaemia data set are provided to verify the obtained results.

关键词： Support vector machines Support vector machine classification Electronic mail Programmable control Adaptive control Gene expression Learning systems Automatic control Control systems Telecommunication control

来源：评论

学校读者我要写书评

暂无评论

AAAI 2008 workshop reports

AAAI 2008 workshop reports

引用

作者： Anand, Sarabjot Singh Bunescu, Razvan Carvcdho, Vitor Chomicki, Jan Conitzer, Vincent Cox, Michael T. Dignum, Virginia Dodds, Zachary Dredze, Mark Furcy, David Gabrilovich, Evgeniy Göker, Mehmet H. Guesgen, Hans Hirsh, Haym Jannach, Dietmar Junker, Ulrich Ketter, Wolfgang Kobsa, Alfred Koenig, Sven Lau, Tessa Lewis, Lundy Matson, Eric Metzler, Ted Mihalcea, Rada Mobasher, Bamshad Pineau, Joelle Poupart, Pascal Raja, Anita Ruml, Wheeler Sadeh, Norman Shani, Guy Shapiro, Daniel Smith, Trey Taylor, Matthew E. Wagstaff, Kiri Walsh, William Zhou, Rong Department of Computer Science University of Warwick United Kingdom School of Electrical Engineering and Computer Science Ohio University United States Microsoft Live Labs United States computer science and engineering University at Buffalo United States Computer science and economics Duke University United States Intelligent Computing group of BBN Technologies Utrecht University Netherlands Department of Computer science Harvey Mudd College United States University of Pennsylvania United States University of Wisconsin United States Yahoo Research PricewaterhouseCoopers Center for Advanced Research United States Department of Computer science School of Engineering and Advanced Technology Massey University New Zealand Departent of Computer science Rutgers University United States Department of Computer Science Dortmund University of Technology. Germany ILOG Rotterdam School of Management Erasmus University Netherlands Donald Bren School of Information and Computer Sciences University of California Irvine United States Depatrment of Computer science University of Southern California United States IBM Almaden Research Center United States Department of Computer Information Technology Southern New Hampshire University United States Computer and Information Technology Program College of Technology Purdue University United States Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computer Science and Engineering University of North Texas United States School of Computing DePaul University United States Department of Computer Science McGill University Canada School of Computer Science University of Waterloo Canada Department of Software and Information Systems University of North Carolina Charlotte United States University of New Hampshire United States Microsoft Research Institute for the Study of Learning and Expertise Applied Reactivity Inc. United States NASA Ames Research Center Carnegie Mellon University West

AAAI was pleased to present the AAAI-08 Workshop Program, held Sunday and Monday, July 13-14, in Chicago, Illinois, USA. The program included the following 15 workshops: Advancements in POMDP Solvers;AI Education Workshop Colloquium;Coordination, Organizations, Institutions, and Norms in Agent systems, Enhanced Messaging;Human Implications of Human-Robot Interaction;intelligent Techniques for Web Personalization and Recommender systems;Metareasoning: Thinking about Thinking;Multidisciplinary Workshop on Advances in Preference Handling;Search in Artificial Intelligence and robotics;Spatial and Temporal Reasoning;Trading Agent Design and Analysis;Transfer Learning for Complex Tasks;What Went Wrong and Why: Lessons from AI Research and Applications;and Wikipedia and Artificial Intelligence: An Evolving Synergy. Copyright © 2009, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

来源：评论

学校读者我要写书评

暂无评论

Time synchronisation and calibration of odometry and range sensors for high-speed mobile robot mapping

Time synchronisation and calibration of odometry and range s...

引用

2008 Australasian Conference on robotics and Automation, ACRA 2008

作者： Tungadi, Fredy Kleeman, Lindsay Intelligent Robotics Research Centre Department of Electrical and Computer Systems Engineering Monash University VIC 3800 Australia

ISBN: (纸本)9780646506432

Simultaneous Localisation and Mapping (SLAM) implementations are typically based upon integration of multiple sensors. One of the most common configurations for SLAM is the combination of odometry and range sensors. However, these sensors usually capture measurements at different times and thus introduce additional time synchronisation error when their data are fused together directly. As a robot moves faster, this error becomes more significant. The overall aim is to allow the robot to travel quickly and yet still be capable of obtaining accurate localisation and mapping results. This paper presents techniques for time synchronisation of multiple sensors taking into account clock drifts, inaccuracy of timestamps, and other unexpected communication and operating system delays. This paper also introduces a method of calibrating odometry and range sensors to ensure an accurate data fusion. Experimental results with and without synchronisation are shown to illustrate and validate the improvements.

关键词： Synchronization

来源：评论

学校读者我要写书评

暂无评论

Camera handoff with adaptive resource management for multi-camera multi-target surveillance

Camera handoff with adaptive resource management for multi-c...

引用

IEEE 5th International Conference on Advanced Video and Signal Based Surveillance, AVSS 2008

作者： Chen, Chung-Hao Yi, Yao Page, David Abidi, Besma Koschan, Andreas Abidi, Mongi Imaging Robotics and Intelligent Systems Laboratory Department of Electrical Engineering and Computer Science University of Tennessee Knoxville TN 37996 United States GE Global Research Center Niskayuna NY 12309 United States

ISBN: (纸本)9780769533414

Camera handoff is a crucial step to generate a continuously tracked and consistently labeled trajectory of the object of interest in multi-camera surveillance systems. Most existing camera handoff algorithms concentrate on data association, namely consistent labeling, where images of the same object are matched across different cameras. However, most real-time object tracking systems see a decrease in the system's frame rate as the number of tracked objects increases. To address this issue, we propose to incorporate an adaptive resource management mechanism into camera handoff. In so doing, cameras' resources can be dynamically allocated to multiple objects according to their priorities and hence the required minimum frame rate can be maintained. Experimental results illustrate that the proposed camera handoff algorithm is capable of maintaining a constant frame rate and of achieving a substantially improved handoff success rate by approximately 20% in comparison with the algorithm presented by Khan and Shah. © 2008 IEEE.

关键词： Cameras

来源：评论

学校读者我要写书评

暂无评论

Embedded neural network for fire classification using an array of gas sensors

Embedded neural network for fire classification using an arr...

引用

作者： Bashyal, Shishir Venayagamoorthy, Ganesh Kumar Paudel, Bandana Real-Time and Intelligent Systems Laboratory Department of Electrical and Computer Engineering Missouri University of Science and Technology United States Real-Time Power and Intelligent Systems Laboratory Department of Electrical Engineering Missouri University of Science and Technology United States Smart Engineering Systems Laboratory Systems Engineering Department Missouri University of Science and Technology United States

ISBN: (纸本)9781424419630

Fire is one of the most common hazards in US households. In 2006 alone, 2705 people were killed due to fire in building structures. 74% of the deaths result from fires in homes with no smoke alarms or no working smoke alarms while surveys report that 96% of all homes have at least one smoke alarm. This study discusses the development of a fire sensing system that is not only capable of detecting fire in its early stage but also of classifying the fire based on the smell of the smoke in the environment. By using an array of sensors along with a neural network for sensor pattern recognition, an impressive result is obtained. Instead of confining the ANN to a PC based application, this work extends the implementation of the neural network fire classifier in a general purpose microcontroller. The result is a low cost intelligent embedded fire classifier that can be used in real life situations for fire hazards minimization, for example this intelligent fire classifier can be used for the development of a smart extinguisher that detects the fire, classifies it and then uses appropriate extinguishing material required for extinguishing the particular class of fire. ©2008 IEEE.

关键词： Fires

来源：评论

学校读者我要写书评

暂无评论

Network-centric localization in MANETs based on particle swarm optimization

Network-centric localization in MANETs based on particle swa...

引用

2008 IEEE Swarm Intelligence Symposium, SIS 2008

作者： Kulkarni, Raghavendra V. Venayagamoorthy, Ganesh K. Miller, Ann Dagli, Cihan H. Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO United States Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO United States Department of Systems Engineering and Engineering Management Missouri University of Science and Technology Rolla MO United States

ISBN: (纸本)9781424427055

There exist several application scenarios of mobile ad hoc networks (MANET) in which the nodes need to locate a target or surround it. Severe resource constraints in MANETs call for energy efficient target localization and collaborative navigation. Centralized control of MANET nodes is not an attractive solution due to its high network utilization that can result in congestions and delays. In nature, many colonies of biological species (such as a flock of birds) can achieve effective collaborative navigation without any centralized control. Particle swarm optimization (PSO), a popular swarm intelligence approach that models social dynamics of a biological swarm is proposed in this paper for network-centric target localization in MANETs that are enhanced by mobile robots. Simulation study of two application scenarios is conducted. While one scenario focuses on quick target localization, the other alms at convergence of MANET nodes around the target. Reduction of swarm size during PSO search is proposed for accelerated convergence. The results of the study show that the proposed algorithm is effective in network-centric collaborative navigation. Emergence of converging behavior of MANET nodes is observed. ©2008 IEEE.

关键词： Multipurpose robots

来源：评论

学校读者我要写书评

暂无评论

Data mining-driven analysis and decomposition In agent supply chain management networks

Data mining-driven analysis and decomposition In agent suppl...

引用

2008 IEEE/WIC/ACM International Conference on Web Intelligence and intelligent Agent Technology - Workshops, WI-IAT Workshops 2008

作者： Chatzidimitriou, Kyriakos C. Symeonidis, Andreas L. Mitkas, Pericles A. Department of Electrical and Computer Engineering Aristotle University of Thessaloniki GR541 24 Thessaloniki Greece Intelligent Systems and Software Engineering Laboratory Informatics and Telematics Institute CERTH 57001 Thessaloniki Greece

ISBN: (纸本)9780769534961

In complex and dynamic environments where interdependencies cannot monotonously determine causality, data mining techniques may be employed in order to analyze the problem, extract key features and identify pivotal factors. Typical cases of such complexity and dynamicity are supply chain networks, where a number of involved stakeholders struggle towards their own benefit. These stakeholders may be agents with varying degrees of autonomy and intelligence, in a constant effort to establish beneficiary contracts and maximize own revenue. In this paper, we illustrate the benefits of data mining analysis on a well-established agent supply chain management network. We apply data mining techniques, both at a macro and micro level, analyze the results and discuss them in the context of agent performance improvement. © 2008 IEEE.

关键词： Supply chain management

来源：评论

学校读者我要写书评

暂无评论

Frequency modulation sound parameter identification using novel hybrid evolutionary algorithms

Frequency modulation sound parameter identification using no...

引用

International Symposium on Telecommunications, IST

作者： M. T. Vakil Baghmisheh M. Alinia Ahandani M. Talebi Research Laboratory of Intelligent Systems Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran

The frequency modulation sound parameter identification is a complex multimodal optimization problem. In this paper, we proposed four evolutionary hybrid algorithms to solve this problem. First we combine genetic algorithm (GA) and queen-bee algorithm (QB) with a random optimization method (RO) and generate memetic and QB-memetic hybrid algorithms, respectively; then modified Nelder-Mead simplex algorithm (MNM) combine with particle swarm optimization (PSO) and differential evolution (DE) algorithms and generate MNM-PSO and MNM-DE hybrid algorithms, respectively. The proposed algorithms are compared in terms of three measures: success rate, average values of the cost function in all successful runs, and the minimum cost in 20 runs. The obtained results demostrate the proposed hybrid algorithms have the better performance than their non-hybrid competitors in the most times. Also The PSO has the best minimum and average value of the cost function and the MNM-PSO has the best success rate.

关键词： Optimization Evolutionary computation Genetic algorithms Gallium Evolution (biology) Cost function Frequency modulation

来源：评论

学校读者我要写书评

暂无评论

A modified very fast Simulated Annealing algorithm

A modified very fast Simulated Annealing algorithm

引用

International Symposium on Telecommunications, IST

作者： Mohammad-Taghi Vakil-Baghmisheh Alireza Navarbaf Research Laboratory of Intelligent Systems Faculty of Electrical & Computer Engineering University of Tabriz Tabriz Iran

Simulated Annealing algorithm (SA) is a local search method invented to avoid local minima. The main shortcomings of this algorithm are its slowness and difficult tuning of its parameters. It is claimed that newer versions of fast SA (FSA) and very fast SA (VFSA) have resolved these problems, but these algorithms have some problems such as estimation of initial temperature and neighborhood generation. In this paper a modified form of VFSA is represented in which the standard deviation of the cost function is used for the estimation of initial temperature and also some modifications is done in neighborhood generation which made the algorithm more accurate. This algorithm is compared with some evolutionary-based algorithms and as simulation results show, it can optimize the complex problems with high accuracy in a feasible time.

关键词： Cost function Temperature distribution Annealing Simulated annealing Convergence Evolutionary computation Estimation

来源：评论

学校读者我要写书评

暂无评论

Sequence clustering with the Self-Organizing Hidden Markov Model Map

Sequence clustering with the Self-Organizing Hidden Markov M...

引用

IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Christos Ferles Andreas Stafylopatis Intelligent Systems Laboratory School of Electrical and Computer Engineering National and Technical University of Athens Athens Greece

A hybrid approach combining the self-organizing map (SOM) and the hidden Markov model (HMM) is presented. The self-organizing hidden Markov model map (SOHMMM) establishes a cross-section between the theoretic foundations and algorithmic realizations of its constituents. The respective architectures and learning methodologies are blended together in an attempt to meet the increasing requirements imposed by the deoxyribonucleic acid (DNA), ribonucleic acid (RNA), and protein chain molecules. Addressing many of the most intriguing biological sequence analysis problems is achieved through its automatic raw sequence data learning mechanism. Since the SOHMMM carries out probabilistic sequence analysis with little or no prior knowledge, it can have a variety of applications in clustering, dimensionality reduction and visualization of large-scale sequence spaces, and also, in sequence discrimination, search and classification. A comprehensive series of experiments based on the globin protein family demonstrates SOHMMMpsilas sophisticated characteristics and advanced capabilities.

关键词： Hidden Markov models Sequences Clustering algorithms RNA Proteins DNA Learning systems Space technology Unsupervised learning Partitioning algorithms

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194页 << < 126 127 128 129 130 131 132 133 134 135 > >>

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：