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

468 篇 会议
271 篇 期刊文献
1 册 图书

馆藏范围

740 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

413 篇 工学
- 192 篇 控制科学与工程
- 192 篇 计算机科学与技术...
- 170 篇 软件工程
- 80 篇 机械工程
- 48 篇 光学工程
- 45 篇 信息与通信工程
- 44 篇 电气工程
- 42 篇 生物工程
- 38 篇 生物医学工程（可授...
- 29 篇 仪器科学与技术
- 27 篇 电子科学与技术（可...
- 24 篇 化学工程与技术
- 19 篇 材料科学与工程（可...
- 18 篇 交通运输工程
- 16 篇 力学（可授工学、理...
- 13 篇 动力工程及工程热...
- 10 篇 航空宇航科学与技...
223 篇 理学
- 107 篇 数学
- 68 篇 物理学
- 54 篇 系统科学
- 44 篇 生物学
- 26 篇 统计学（可授理学、...
- 19 篇 化学
74 篇 管理学
- 60 篇 管理科学与工程(可...
- 16 篇 工商管理
- 16 篇 图书情报与档案管...
36 篇 医学
- 29 篇 临床医学
- 16 篇 基础医学(可授医学...
- 13 篇 药学(可授医学、理...
8 篇 法学
6 篇 农学
5 篇 经济学
5 篇 教育学
2 篇 艺术学
1 篇 文学
1 篇 军事学

主题

61 篇 intelligent robo...
37 篇 mobile robots
35 篇 robotics and aut...
34 篇 robot sensing sy...
33 篇 laboratories
32 篇 control systems
24 篇 cameras
24 篇 robot kinematics
23 篇 robots
21 篇 humans
19 篇 robot vision sys...
19 篇 intelligent syst...
17 篇 atomic force mic...
16 篇 robustness
15 篇 neural networks
15 篇 intelligent sens...
13 篇 fuzzy cognitive ...
12 篇 navigation
11 篇 fuzzy logic
11 篇 automatic contro...

机构

48 篇 state key labora...
24 篇 institutes for r...
24 篇 zhejiang enginee...
23 篇 university of ch...
23 篇 school of automa...
22 篇 beijing key labo...
22 篇 school of electr...
17 篇 hubei key labora...
16 篇 seventh research...
14 篇 research center ...
11 篇 department of el...
11 篇 department of el...
11 篇 robotics and int...
11 篇 department of au...
11 篇 department of el...
10 篇 ieee
10 篇 engineering rese...
9 篇 department of ly...
8 篇 department of el...
8 篇 guangdong-hongko...

作者

27 篇 ning xi
24 篇 junping du
24 篇 fashan yu
24 篇 yingmin jia
23 篇 xi ning
20 篇 liu lianqing
18 篇 lianqing liu
17 篇 witold pedrycz
17 篇 wang yuechao
16 篇 min wu
16 篇 luefeng chen
15 篇 yuechao wang
15 篇 dong zaili
13 篇 luo ren c.
13 篇 peter p. groumpo...
12 篇 s.g. tzafestas
11 篇 pedrycz witold
11 篇 zaili dong
11 篇 kaoru hirota
11 篇 jason gu

语言

649 篇 英文
79 篇 其他
12 篇 中文

检索条件"机构=Intelligent Robotics and Automation Laboratory Department of Electrical and Computer Engineering"

共 740 条记录，以下是461-470 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：

System design and implementation of social interactive robot Nancy

System design and implementation of social interactive robot...

引用

International Conference on Information Sciences and Interaction Sciences (ICIS)

作者： Shuzhi Sam Ge Chun Fui Liew Yanan Li Institute of Intelligent Systems University of Electronic Science and Technology Chengdu China Social Robotics Laboratory Interactive Digital Media Institute and Department of Electrical and Computer Engineering National University of Singapore Singapore Social Robotics Laboratory Interactive Digital Media Institute and NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore

This paper presents a social interactive robot Nancy that has been developed in Social robotics laboratory, National University of Singapore. Fundamentally different from factory robots, Nancy's design focuses on social interaction and social intelligent system. The design objectives and consideration are examined in the beginning, followed by the description of hardware and software architectures. Contrast to current existing social robots, Nancy has a graphical user interface (GUI), which acts as an additional channel for human-robot interaction. This GUI helps users to have a better understanding of Nancy's internal states and hence make users feel more comfortable during the interaction with Nancy. Visitors' interaction experience with Nancy is discussed together with Nancy's social skills.

关键词： Robots Graphical user interfaces Servomotors Speech Universal Serial Bus Face Hardware

来源：评论

学校读者我要写书评

暂无评论

Target object identification and localization in mobile manipulations

Target object identification and localization in mobile mani...

引用

IEEE International Conference on robotics and Biomimetics

作者： Yong Jiang Ning Xi Qin Zhang Yunyi Jia Department of Electrical and Computer Engineering Michigan State University East Lansing MI USA State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Mechatronic Engineering Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781457721366

How to make mobile manipulator autonomously identify and locate target object in unknown environment, this is a very challenging question. In this paper, a multi-sensor fusion method based on camera and laser range finder (LRF) for mobile manipulations is proposed. Although the camera can acquire rich perceptual information, the image processing is very complex and easily influenced from the change in ambient light. Moreover, it can not directly provide the depth information of the environment. Since the LRF has the ability to directly measure 3D coordinates and the stability against the ambient light influence, meanwhile, the camera has the ability to acquire color information, the combination of the two sensors by making use of their advantages is utilized to obtain more accurate measurements as well as to simplify information processing. To overlay the camera image with the measurement points of the LRF pitching scan and to reconstruct the 3D image which includes the depth-of-field information, the model and the calibration of the system are built. Based on the combination of the color features extracted from the color image and the shape, size features extracted from the 3D depth-of-field image, the target object identification and localization are implemented autonomously. In order to extract the shape and size features, a triangular facet normal vector clustering (TFNVC) algorithm is introduced. The effectiveness of the proposed method and algorithm are validated by some experimental testing and analysis carried out on the mobile manipulator platform.

关键词： Feature extraction Three dimensional displays Cameras Mobile communication Image color analysis Manipulators Object recognition

来源：评论

学校读者我要写书评

暂无评论

Reports of the AAAI 2010 fall symposia

Reports of the AAAI 2010 fall symposia

引用

作者： Azevedo, Roger Biswas, Gautam Bohus, Dan Carmichael, Ted Finlayson, Mark A. Hadzikadic, Mirsad Havasi, Catherine Horvitz, Eric Kanda, Takayuki Koyejo, Oluwasanmi Lawless, William F. Lenat, Doug Meneguzzi, Felipe Mutlu, Bilge Oh, Jean Pirrone, Roberto Raux, Antoine Sofge, Donald A. Sukthankar, Gita Van Durme, Benjamin Yorke-Smith, Neil Department of Educational and Counseling Psychology McGill University Canada Center for Intelligent Systems Vanderbilt University United States Microsoft Research Redmond United States Department of Software and Information Systems University of North Carolina Charlotte United States Complex Systems Institute United States Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology United States Media Lab. Massachusetts Institute of Technology United States ATR Intelligent Robotics and Communication Laboratories Kyoto Japan Department of Electrical and Computer Engineering University of Texas Austin United States Department of Mathematics Paine College Augusta GA United States Cycorp Austin TX United States Robotics Institute Carnegie Mellon University United States Department of Computer Sciences University of Wisconsin Madison United States University of Palermo Italy Honda Research Institute United States Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington DC United States Department of Electrical Engineering and Computer Science University of Central Florida United States Department of Computer Science Johns Hopkins University United States American University of Beirut Lebanon SRI International's Artificial Intelligence Center United States

The Association for the Advancement of Artificial Intelligence (AAAI) presented the 2010 Fall Symposium Series on November 11-13, 2010. The eight symposia included Cognitive and Metacognitive Educational Systems, Commonsense Knowledge, Complex Adaptive Systems: Resilience, Robustness, and Evolvability, Computational Models of Narrative, Dialog with Robots, Manifold Learning and Its Applications, Proactive Assistant Agents and Quantum Informatics for Cognitive, Social, and Semantic Processes. Cognitive and Metacognitive Educational Systems aimed to provide a comprehensive definition of metacognitive educational systems that is inclusive of the theoretical, architectural, and educational aspects of this field. The AAAI Commonsense Knowledge Fall Symposium had the goal of bringing together the diverse elements of this community whose work benefits from or contributes to the representation of general knowledge about the world. One of the specific goals of Proactive symposium was to gather the researchers from various projects in assistant agents to share their wisdom in retrospect.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

A novel type of trigonometric neural network trained by Extended Kalman Filter

A novel type of trigonometric neural network trained by Exte...

引用

International Workshop on Advanced Computational Intelligence (IWACI)

作者： M. Norouzi M. Mansouri M. Teshnehlab M. Aliyari Shoorehdeli Faculty of Engineering Department of Computer Engineering Science and Research Branch Islamic Azad University Iran Intelligent System Laboratory (ISLAB) Faculty of Electrical Engineering Control Department K.N. Toosi University of Technology Tehran Iran Faculty of Electrical Engineering Department of Mechatronics Engineering Advanced Process Automation &Control Laboratory (APAC) K.N. Toosi University of Technology Tehran Iran

In this study, a new type of trigonometric neural network is presented by adding frequency and phase to trigonometric activation functions. The proposed trigonometric neural network has more flexibility in comparison with conventional trigonometric neural networks and even other types of neural networks. Due to the low convergence rate and high posibility of trapping in a local minimum of backpropagation algorithm, Extended Kalman Filter algorithm is used to train the neural network's parameters which they appear in a nonlinear form. The Simulation of the suggested neural network based on the prediction of Mackey-Glass time series and identification of a nonlinear dynamic ystem reveals the efficiency of the proposed network. To show the efficiency of this method, the results are compared with the results of the others.

关键词： Biological neural networks Kalman filters Equations Neurons Vectors Covariance matrix Mathematical model

来源：评论

学校读者我要写书评

暂无评论

Analysis of a Partially Decentralized Framework for Operating Future Power Systems

Analysis of a Partially Decentralized Framework for Operatin...

引用

IEEE Power and Energy Society General Meeting

作者： Mingyang Li Peter B. Luh Eugene Litvinov Peng Zhang Center for Intelligent and Networked Systems (CFINS) Department of Automation Tsinghua National Laboratory for Information Science & Technology (TNLIST) Tsinghua University Dept. of Electrical & Computer Engineering University of Connecticut ISO New England Inc.

ISBN: (纸本)9781457710001

In future power systems, the Smart Grid technologies will bring in a large number of new entities, which are different from those in the current systems in two major aspects: first, the entities are geographically distributed throughout the system with their detailed information not available to the system operator, and second, the entities tend to autonomously optimize their own benefits. In view of both aspects, it is difficult to use the current centralized framework to operate future systems. In this paper, we present and analyze a new partially decentralized framework and the corresponding mechanisms as one step from the current framework toward the future ones, and the focus is on the real time electricity markets with a dispatch cycle of five minutes. In each dispatch cycle, the system operator posts electricity price forecasts, and individual entities actively respond to the prices to dispatch themselves. The system-wide power imbalance is used as a correction term in the next dispatch cycle to iteratively update the price forecasts, so that system balance is maintained in the long term. The new framework can accommodate the large number of entities without knowing their detailed information, and enable the entities to achieve better economic benefits. Small examples are used to analyze our framework and to compare it with the current one.

关键词： System operation Autonomous entities Renewable generation Decentralized Real time market Electricity price Decentralized Operating systems Dispatching Electricity pricing Frameworks power systems correct entry Smart grids Prices

来源：评论

学校读者我要写书评

暂无评论

Near-infrared based nighttime pedestrian detection by combining multiple features

Near-infrared based nighttime pedestrian detection by combin...

引用

International Conference on intelligent Transportation

作者： Yu-Chun Lin Yi-Ming Chan Luo-Chieh Chuang Li-Chen Fu Shih-Shinh Huang Pei-Yung Hsiao Min-Fang Luo Intelligent Robot and Automation Laboratory Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan National Taiwan University Taipei TW Department of Computer and Communication Engineering National Kaohsiung First University of Science and Technology Kaohsiung Taiwan Department of Electrical Engineering National University of Kaohsiung Kaohsiung Taiwan System development center Chung-Shan Institute of Science and Technology Longtan Shaiang Taoyuan Taiwan

Pedestrian detection is important in the computer vision field. In the nighttime, pedestrian detection is even more valuable. In this paper, we address the issue of detecting pedestrians in video streams from a moving camera at nighttime. Most nighttime human detection approaches only use single feature extracted from images. The effective image features in daytime environment may suffer from textureless, high contrast and low light problems at night. To deal with these issues, we first segment the foreground by using the proposed Smart Region Detection approach to generate candidates. Then we design a nighttime pedestrian detection system based on the AdaBoost and the support vector machine (SVM) classifiers with contour and histogram of oriented gradients (HOG) features to effectively recognize pedestrians from those candidates. Combining different type of complementary features improve the detection performance. Results show that our pedestrian detection system is promising in the nighttime environment.

关键词： Feature extraction Image segmentation Cameras Humans Databases Lighting Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Imaging and measuring the protein distribution of lymphoma cells using atomic force microscopy

Imaging and measuring the protein distribution of lymphoma c...

引用

IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)

作者： Mi Li Lianqing Liu Ning Xi Yuechao Wang Zaili Dong Guangyong Li Osamu Tabata Xiubin Xiao Weijing Zhang State Key Laboratory of Drug Research Shanghai Institute of Materia Medica Chinese Academy of Sciences Shanghai China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Chinese Academy and Sciences Beijing China Department of Electrical and Computer Engineering Michigan State University East Lansing MI USA Department of Electrical and Computer Engineering University of Pittsburgh Pittsburgh PA USA Department of Micro Engineering Kyoto University Kyoto Japan Department of Lymphoma Affiliated Hospital of Military Medical Academy of Sciences Beijing China

Atomic force microscopy (AFM) has proven to be a powerful tool for imaging the topographic properties of biological samples and measuring the molecular specific binding forces at cellular and molecular levels. However, there are still great difficulties in using AFM to acquire images of mammalian suspension live cells due to the suspension growth manner and the softness of the cell membrane. In this paper, lymphoma live cells were trapped in microfabricated patterned pillars and then imaged by AFM in phosphate buffered saline (PBS) solution. In addition, the CD20 distribution on the lymphoma cell surface was visualized three-dimensionally by tethering rituximabs (anti-CD20 monoclonal antibody) onto the AFM tips. The experimental results indicate that immobilization with microfabricated patterned pillars provides a novel way for anchoring suspension mammalian cells, opening the way for further investigation of the molecular mechanisms of rituximab's anti-cancer effect.

关键词： Force Surface topography Atomic force microscopy Surface morphology Suspensions

来源：评论

学校读者我要写书评

暂无评论

Feature referenced tip localization enhanced by probability motion model for AFM based nanomanipulations

Feature referenced tip localization enhanced by probability ...

引用

IEEE International Conference on robotics and Biomimetics

作者： Shuai Yuan Lianqing Liu Zhidong Wang Ning Xi Yuechao Wang Zaili Dong Zhiyu Wang Zhibo Wang College of Information & Control Engineering of Shenyang Jianzhu University State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Department of Advanced Robotics Chiba Institute of Technology Department of Electrical and Computer Engineering Michigan State University

ISBN: (纸本)9781457721366

The spatial uncertainties of tip positioning due to the nonlinearity of the PZT scanner and thermal drift hinder the further application of the AFM based nanomanipulation. This paper brings forward feature referenced tip localization enhanced by probability motion model to reduce the spatial uncertainties. An improved motion model is probabilistically built by incorporating the PI model, the creep model and the thermal drift model. For calibrating the accurate model parameters, the statistical experiments are designed and performed. Then the tip position is optimally estimated by combining with a local scan based feature sensing method. The simulation and corresponding experiments are performed to illustrate the validity and feasibility of the calibrated parameters and the algorithm.

关键词： Atomic Force Microscopy terminal interface processor nonlinearity based model parameters Drift models

来源：评论

学校读者我要写书评

暂无评论

Two alternative approaches to stochastic discrete-time iterative learning control systems

Two alternative approaches to stochastic discrete-time itera...

引用

IEEE Conference on Decision and Control

作者： Deyuan Meng Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781612848006

This paper aims to address the robust convergence problem that arises from discrete-time iterative learning control (ILC) systems subject to random disturbances. Two alternative approaches are considered in order to achieve the perfect output tracking of the stochastic discrete-time ILC systems in the sense of both expectation and variance, which use the tracking error and the input error for analysis, respectively. It is shown that the convergence results of two approaches to ILC can be established by developing some statistical expressions in super-vector forms. Moreover, it is demonstrated that the convergence results of two approaches to ILC are not always equal, and they can keep the same only in the case where the controlled plants are square.

关键词： Iterative learning control discrete-time systems random disturbances

来源：评论

学校读者我要写书评

暂无评论

Robust L_(2) - L_(infinity) Consensus Control of the Second-order Multi-agent Systems with Time-delay

Robust L_(2) - L_(infinity) Consensus Control of the Second-...

引用

IEEE Conference on Decision and Control

作者： Yan Cui Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781612848006

Robust L_(2) - L_(infinity) consensus control is studied for the second-order multi-agent systems with external disturbances and parameter uncertainties. By defining an appropriate controlled output, the consensus problem of the systems is transformed into a normal L_(2) - L_(infinity) control problem, and distributed state feedback protocols with time-delay are proposed. Sufficient conditions are established for the convergence to consensus of the network under fixed or switching topology. Numerical simulations are provided to demonstrate the effectiveness of our theoretical results.

关键词： Topology Europe

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74页 << < 43 44 45 46 47 48 49 50 51 52 > >>

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：