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

486 篇 期刊文献
376 篇 会议
1 册 图书

馆藏范围

863 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

550 篇 工学
- 267 篇 计算机科学与技术...
- 208 篇 软件工程
- 122 篇 控制科学与工程
- 94 篇 信息与通信工程
- 92 篇 电子科学与技术（可...
- 85 篇 电气工程
- 71 篇 生物医学工程（可授...
- 62 篇 生物工程
- 57 篇 光学工程
- 44 篇 机械工程
- 35 篇 动力工程及工程热...
- 34 篇 化学工程与技术
- 33 篇 仪器科学与技术
- 27 篇 材料科学与工程（可...
- 27 篇 交通运输工程
- 19 篇 力学（可授工学、理...
- 19 篇 航空宇航科学与技...
- 16 篇 核科学与技术
378 篇 理学
- 155 篇 物理学
- 135 篇 数学
- 77 篇 生物学
- 57 篇 系统科学
- 41 篇 统计学（可授理学、...
- 40 篇 化学
117 篇 管理学
- 76 篇 管理科学与工程(可...
- 38 篇 图书情报与档案管...
- 35 篇 工商管理
94 篇 医学
- 77 篇 临床医学
- 56 篇 基础医学(可授医学...
- 42 篇 药学(可授医学、理...
14 篇 法学
10 篇 农学
9 篇 经济学
6 篇 教育学
2 篇 军事学
2 篇 艺术学

主题

23 篇 electroencephalo...
15 篇 control systems
13 篇 optimal control
12 篇 computer science
11 篇 deep learning
11 篇 gravitational wa...
11 篇 feature extracti...
10 篇 uncertainty
10 篇 stochastic proce...
9 篇 support vector m...
9 篇 mobile robots
9 篇 robots
9 篇 computational mo...
9 篇 robot sensing sy...
9 篇 testing
9 篇 parameter estima...
8 篇 force
8 篇 wireless communi...
8 篇 predictive model...
8 篇 machine learning

机构

24 篇 school of comput...
21 篇 department of as...
21 篇 engineering rese...
19 篇 department of ph...
16 篇 department of ph...
16 篇 advanced technol...
16 篇 kamioka branch n...
16 篇 institute for pl...
15 篇 infn sezione di ...
15 篇 national tsing h...
15 篇 department of ph...
15 篇 department of ph...
15 篇 scuola di ingegn...
15 篇 king’s college l...
15 篇 department of ph...
15 篇 the university o...
15 篇 infn sezione di ...
15 篇 dipartimento di ...
15 篇 università degli...
15 篇 ligo laboratory ...

作者

17 篇 r. takahashi
17 篇 k. komori
17 篇 t. kajita
17 篇 c. kim
17 篇 t. akutsu
16 篇 s. eguchi
16 篇 t. sawada
16 篇 l.-w. luo
16 篇 g. moreno
16 篇 r. gray
16 篇 h. asada
16 篇 h. tagoshi
15 篇 j. c. bayley
15 篇 t. m. evans
15 篇 f. hellman
15 篇 m. kinley-hanlon
15 篇 t. mcrae
15 篇 a. parisi
15 篇 s. rowan
15 篇 s. m. aronson

语言

800 篇 英文
44 篇 其他
21 篇 中文
1 篇 德文

检索条件"机构=Measurement and Control Engineering Research Center and the Department of Computer Science"

共 863 条记录，以下是711-720 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：

Sensor data fusion using fuzzy control for VOR-based vision tracking system

Sensor data fusion using fuzzy control for VOR-based vision ...

引用

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Hyun-il Kwon Jaehong Park Wonsang Hwang Jong-hyeon Kim Chang-hun Lee M. Latif Anjum Kwang-soo Kim Dong-il Cho Automation and Systems Research Institute and School of Electrical Engineering and Computer Science Inter-University Semiconductor Research Center Seoul South Korea Department of Control and Instrumentation Engineering Hanbat National University Daejeon South Korea

This paper presents a vision tracking system to achieve high recognition performance under dynamic circumstances, using a fuzzy logic controller. The main concept of the proposed system is based on the vestibulo-ocular reflex (VOR) and the opto-kinetic reflex (OKR) of the human eye. To realize the VOR concept, MEMS inertial sensors and encoders are used for robot motion detection. This concept turns the camera towards a selected target, counteracting the robot motion. Based on the OKR concept, the targeting errors are periodically compensated, using vision information. The fuzzy logic controller uses sensor data fusion to detect slip or collision occurrences. To calculate a heading angle of the camera accurately, the output of the fuzzy logic controller and the vision information from the camera are combined, using an extended Kalman filter. The proposed vision tracking system is implemented in a mobile robot and evaluated experimentally. The experimental results are obtained as the tracking and the recognition success rate using a mobile robot. The developed system achieved the excellent tracking and recognition performance during slip or collision occurrences under dynamic circumstances.

关键词： Cameras Mobile robots Robot vision systems Machine vision Fuzzy logic

来源：评论

学校读者我要写书评

暂无评论

Analyzing effect of distraction caused by dual-tasks on sharing of brain resources using SOM

Analyzing effect of distraction caused by dual-tasks on shar...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Yu-Kai Wang Nikhil R. Pal Chin-Teng Lin Shi-An Chen Department of Computer Science and Brain Research Center National Chiao Tung University Taiwan Electronics and Communication Sciences Unit Indian Statistical Institute India Department of Electrical and Control Engineering and Brain Research Center National Chiao Tung University Taiwan

Drivers' distraction is widely recognized as a leading cause of car accidents. To investigate the distracting effect of dual-tasks involving driving and answering mathematical equations in the stimulus onset asynchrony (SOA) conditions, we design five different cases: two cases involving single-tasks and three cases involving dual-tasks. We have found that there is no statistically significant change in the behavioral data among the three dual-tasks. This raises an important question - is there any detectable effect of the dual tasks on the brain waves? To answer this, we use the Self-Organizing Map (SOM) to recognize the changes, if any, in the Electroencephalography (EEG) dynamics associated with such dual-tasks. Our SOM analysis based on independent components corresponding to EEG signals extracted from Frontal and Motor areas revealed that single- and dual-tasks have distinguishable signatures in the EEG signals. Specifically, each of the two single-task conditions is clustered in a distinct spatial area of the map. Two of the dual-tasks also exhibit distinct spatial clusters, while the third case although shows differences from the other two, the neurons corresponding to this case are sub-clustered reflecting the fact that different subjects may give different priorities to the tasks when confronted with two tasks simultaneously. SOM-based exploratory analysis reveals the existence of distinct EEG signatures among the distracting and non-distracting tasks, although there is no any noticeable difference in the behavioral data among these cases.

关键词： Electroencephalography Neurons Feature extraction Equations Mathematical model Brain Accuracy

来源：评论

学校读者我要写书评

暂无评论

The circular-scanning algorithm in laser marking based on mathematical morphology: Design and implementation

The circular-scanning algorithm in laser marking based on ma...

引用

International Conference on Modelling, Identification and control (ICMIC)

作者： Ling Liu Huaiyu Wu Lei Cheng Yongji Wang Quanmin Zhu Department of Information Wuhan University of Science and Technology Wuhan China Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of Education in China Wuhan University of Science and Technology Wuhan China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China Bristol Institute of Technology University of West of England Bristol UK

Laser processing has excellent processing performance, making the laser processing technology used widely, bringing huge economic benefits. An efficient algorithm of circular scanning and the corresponding design and implementation in laser marking will be introduced in this article. The algorithm is based on mathematical morphological, and realized on Visual c++ and GDI+ platform. The distance of the scanning line we got in the original graphic is in accordance with our expectation, and the scanning time is not more than 0.1s. Such stability and accuracy is originated from the core portion of the algorithm that is one-step scanning which makes each closed contour widen inspired by the thought of corrosion expansion algorithm and is aplicable to any curves so that assure reliability, such widen size is in accordance to scanning distance setted by users. This article can be divided into three parts: basics introduction, algorithm design, implementation. The results of numerous circular-scanning examples verify the effectiveness of the algorithm.

关键词： Corrosion

来源：评论

学校读者我要写书评

暂无评论

High performance vision tracking system for mobile robot using sensor data fusion with Kalman filter

High performance vision tracking system for mobile robot usi...

引用

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Jaehong Park Wonsang Hwang Hyun-il Kwon Jong-hyeon Kim Chang-hun Lee M. Latif Anjum Kwang-soo Kim Dong-il Cho Automation and Systems Research Institute (ASRI) and School of Electrical Engineering and Computer Science Inter-University Semiconductor Research Center Seoul South Korea South Korea Department of Control and Instrumentation Engineering Hanbat National University Daejeon South Korea

This paper introduces a high performance vision tracking system for mobile robot using sensor data fusion. For mobile robots, it is difficult to collect continuous vision information due to robot's motion. To solve this problem, the proposed vision tracking system estimates the robot's position relative to a target and rotates the camera towards the target. This concept is derived from the human eye reflex mechanism, known as the Vestibulo-Ocular Reflex (VOR), for compensating the head motion. This concept for tracking the target results in much higher performance levels, when compared with the conventional method that rotates the camera using only vision information. The proposed system do not require heavy computing loads to process image data and can track the target continuously even during vision occlusion. The robot motion information is estimated using data from accelerometer, gyroscope, and encoders. This multi-sensor data fusion is achieved using Kalman filter. The proposed vision tracking system is implemented on a two-wheeled robot. The experimental results show that the proposed system achieves excellent tracking and recognition performance in various motion scenarios, including scenarios where camera is temporarily blocked from the target.

关键词： Robot sensing systems Target tracking Machine vision Kalman filters Cameras

来源：评论

学校读者我要写书评

暂无评论

Driver's cognitive state classification toward brain computer interface via using a generalized and supervised technology

Driver's cognitive state classification toward brain compute...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Chun-Hsiang Chuang Pei-Chen Lai Li-Wei Ko Bor-Chen Kuo Chin-Teng Lin Institute of Electrical Control Engineering and Brain Research Center National Chiao Tung University Hsinchu Taiwan Graduate Institute of Educational Measurement and Statistics National Taichung University Taichung Taiwan Department of Biological Science and Technology and Brain Research Center National Chiao Tung University Hsinchu Taiwan

Growing numbers of traffic accidents had become a serious social safety problem in recent years. The main factor of the high fatalities was the obvious decline of the driver's cognitive state in their perception, recognition and vehicle control abilities while being sleepy. The key to avoid the terrible consequents is to build a detecting system for ongoing assessment of driver's cognitive state. A quickly growing research, brain-computer interface (BCI), offers a solution offering great assistance to those who require alternative communicatory and control mechanisms. In this study, we propose an alertness/drowsiness classification system based on investigating electroencephalographic (EEG) brain dynamics in lane-keeping driving experiments in a virtual reality (VR) driving environment with a motion platform. The core of the classification system is composed of dimension reduction technique and classifier learning algorithm. In order to find the suitable method for better describing the data structure, we explore the performances using different feature extraction and feature selection methods with different classifiers. Experiment results show that the accuracy is over 80% in most combinations and even near 90% under Principal Component Analysis (PCA) and Nonparametric Weighted Feature Extraction (NWFE) going with Gaussian Maximum Likelihood classifier (ML) and k-Nearest-Neighbor classifier (kNN), respectively. In addition, this developed classification system can also solve the individual brain dynamic differences caused from different subjects and overcome the subject dependent limitation. The optimized solution with better accuracy performance out of all combinations can be considered to implement in the kernel brain-computer interface.

关键词： Feature extraction Driver circuits Electroencephalography Classification algorithms Brain modeling Principal component analysis Support vector machines

来源：评论

学校读者我要写书评

暂无评论

An EEG-based classification system of Passenger's motion sickness level by using feature extraction/selection technologies

An EEG-based classification system of Passenger's motion sic...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Yi-Hsin Yu Pei-Chen Lai Li-Wei Ko Chun-Hsiang Chuang Bor-Chen Kuo Chin-Teng Lin Institute of Electrical Control Engineering and Brain Research Center National Chiao Tung University Hsinchu Taiwan Graduate Institute of Educational Measurement and Statistics National Taichung University Taichung Taiwan Department of Biological Science and Technology and Brain Research Center National Chiao Tung University Hsinchu Taiwan

Past studies reported that the main electrogastrography (EEG) dynamic changes related to motion sickness (MS) were occurred in occipital, parietal, and somatosensory brain area, especially in the power increasing of the alpha band (8-13 Hz) and theta band (4-7 Hz) which had positive correlation with the subjective MS level. Depend on these main findings correlated with MS, we attempt to develop an EEG based classification system to automatically classify subject's MS level and find the suitable EEG features via common feature extraction, selection and classifiers technologies in this study. If we can find the regulations and then develop an algorithm to predict MS occurring, it would be a great benefit to construct a safe and comfortable environment for all drivers and passengers when they are cruising in the car, bus, ship or airplane. EEG is one of the best methods for monitoring the brain dynamics induced by motion-sickness because of its high temporal resolution and portability. After collecting the EEG signals and subjective MS level in a realistic driving environment, we first do the data pre-processing part including ICA, component clustering analysis and time-frequency analysis. Then we adopt three common feature extractions and two feature selections (FE/FS) technologies to extract or select the correlated features such as principal component analysis (PCA), linear discriminate analysis (LDA), nonparametric weighted feature extraction (NWFE), forward feature selections (FFS) and backward feature selections (BFS) and feed the feature maps into three classifiers (Gaussian Maximum Likelihood Classifier (ML), k-Nearest-Neighbor Classifier (kNN) and Support Vector Machine (SVM)). Experimental results show that classification performance of all our proposed technologies can be reached almost over 95%. It means it is possible to apply the effective technology combination to predict the subject's MS level in the real life applications. The better combination in thi

关键词： Feature extraction Electroencephalography Support vector machines Principal component analysis Classification algorithms Iron Accuracy

来源：评论

学校读者我要写书评

暂无评论

sEMG based fuzzy control strategy with ANFIS path planning for prosthetic hand

sEMG based fuzzy control strategy with ANFIS path planning f...

引用

IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Chandrasekhar Potluri Parmod Kumar Madhavi Anugolu Steve Chiu Alex Urfer Marco P. Schoen D. Subbaram Naidu Measurement and Control Engineering Research Center MCERC College of Engineering Idaho State University Pocatello ID USA MCERC College of Engineering Idaho State University Pocatello ID USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello ID USA Department of Physical and Occupational Therapy Idaho State University Pocatello ID USA Department of Mechanical and Nuclear Engineering MCERC Idaho State University Pocatello ID USA Department of Electrical Engineering and computer science MCERC Idaho State University Pocatello ID USA

This paper presents an intelligent adaptive neurofuzzy inference system (ANFIS) based fuzzy Mamdani controller for a multifingered prosthetic hand. The objective of the controller is to move the finger joint angles along predetermined paths representing a grasping motion. The initiation of the grasping task is evaluated via EMG-entropy data, measured at the forearm of the prosthetic user. In addition to the motion control, the finger force is regulated with a Fuzzy logic controller. Simulation results indicate good performance of the proposed controller. Results show that the outputs follow the hand/finger force and given reference trajectory closely.

关键词： Entropy Force Fingers Electromyography Fuzzy logic Indexes Prosthetic hand

来源：评论

学校读者我要写书评

暂无评论

Neural stem cell segmentation using local complex phase information

Neural stem cell segmentation using local complex phase info...

引用

IEEE International Conference on Image Processing

作者： Taoyi Chen Yong Zhang Changhong Wang Zhenshen Qu Stephen T.C. Wong Department of Control Science and Engineering Harbin Institute of Technology Harbin Heilongjiang China Computer Science Division IBM Almaden Research Center San Jose CA USA Center of Bioengineering and Informatics The Methodist Hospital Research Institute and Department of Radiology Weill Cornell Medical College Methodist Hospital Houston TX USA

Segmentation of neural stem cells is the preliminary step to treat and cure several brain neural diseases. There exist a number of methods to accomplish this task. However, all of these methods suffer from some problems, such as high intensity variation sensitivity, human interaction and high computational complexity. In this paper we proposed a novel edge-detection-based neural stem cell image segmentation algorithm using the local complex phase characteristics. The proposed method is an illumination and contrast invariant measurement of edge significance. Our contributions are that, local weighting summation Gaussian kernel convolution and a new model for phase deviation weighting function are introduced into the proposed model to improve the local phase measurement. In experiments, we show that the proposed method is more accurate and reliable than three existing gradient-based edge detection algorithms and Kovesi's model for neural stem cell image segmentation.

关键词： Image edge detection Image segmentation Stem cells Phase measurement Wavelet transforms Detectors Gabor filters

来源：评论

学校读者我要写书评

暂无评论

Frequency domain surface EMG sensor fusion for estimating finger forces

Frequency domain surface EMG sensor fusion for estimating fi...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Chandrasekhar Potluri Parmod Kumar Madhavi Anugolu Alex Urfer Steve Chiu D. Subbaram Naidu Marco P. Schoen Measurement and Control Engineering Research Center MCERC Idaho State University Pocatello ID USA MCERC Idaho State University Pocatello ID USA Department of Physical and Occupational Therapy Idaho State University Pocatello ID USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello ID USA Department of Mechanical Engineering MCERC Idaho State University Pocatello ID USA

Extracting or estimating skeletal hand/finger forces using surface electro myographic (sEMG) signals poses many challenges due to cross-talk, noise, and a temporal and spatially modulated signal characteristics. Normal sEMG measurements are based on single sensor data. In this paper, array sensors are used along with a proposed sensor fusion scheme that result in a simple Multi-Input-Single-Output (MISO) transfer function. Experimental data is used along with system identification to find this MISO system. A Genetic Algorithm (GA) approach is employed to optimize the characteristics of the MISO system. The proposed fusion-based approach is tested experimentally and indicates improvement in finger/hand force estimation.

关键词： Force Electromyography Muscles Transfer functions Sensor fusion Force measurement

来源：评论

学校读者我要写书评

暂无评论

Optimal trajectory generation for dynamic street scenarios in a Frenét Frame

Optimal trajectory generation for dynamic street scenarios i...

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Moritz Werling Julius Ziegler Sören Kammel Sebastian Thrun Department of Applied Computer Science and Automation (AIA) University of Karlsruhe Karlsruhe Germany Department of Measurement and Control (MRT) University of Karlsruhe Germany Research and Technology Center Robert Bosch Limited Liability Company Palo Alto CA USA Stanford Artificial Intelligence Laboratory University of Stanford Stanford CA USA

Safe handling of dynamic highway and inner city scenarios with autonomous vehicles involves the problem of generating traffic-adapted trajectories. In order to account for the practical requirements of the holistic autonomous system, we propose a semi-reactive trajectory generation method, which can be tightly integrated into the behavioral layer. The method realizes long-term objectives such as velocity keeping, merging, following, stopping, in combination with a reactive collision avoidance by means of optimal-control strategies within the Frenét-Frame of the street. The capabilities of this approach are demonstrated in the simulation of a typical high-speed highway scenario.

关键词： Trajectory Vehicle dynamics Remotely operated vehicles Aerodynamics Road vehicles Mobile robots Merging Road transportation Traffic control Robotics and automation

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87页 << < 68 69 70 71 72 73 74 75 76 77 > >>

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：