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

368 篇 会议
47 篇 期刊文献

馆藏范围

415 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

154 篇 工学
- 109 篇 计算机科学与技术...
- 77 篇 软件工程
- 63 篇 电气工程
- 56 篇 控制科学与工程
- 25 篇 电子科学与技术（可...
- 24 篇 信息与通信工程
- 15 篇 动力工程及工程热...
- 11 篇 机械工程
- 9 篇 仪器科学与技术
- 6 篇 交通运输工程
- 6 篇 安全科学与工程
- 5 篇 生物医学工程（可授...
- 4 篇 生物工程
- 3 篇 光学工程
- 3 篇 土木工程
- 2 篇 力学（可授工学、理...
- 2 篇 船舶与海洋工程
- 2 篇 航空宇航科学与技...
65 篇 理学
- 52 篇 数学
- 8 篇 物理学
- 7 篇 统计学（可授理学、...
- 6 篇 生物学
- 3 篇 地球物理学
- 3 篇 系统科学
22 篇 管理学
- 20 篇 管理科学与工程(可...
- 9 篇 工商管理
- 2 篇 图书情报与档案管...
4 篇 法学
- 3 篇 社会学
2 篇 经济学
- 2 篇 应用经济学
2 篇 医学
- 2 篇 基础医学(可授医学...
1 篇 教育学

主题

85 篇 real time system...
70 篇 laboratories
55 篇 control systems
38 篇 power systems
37 篇 delay
32 篇 application soft...
30 篇 distributed comp...
28 篇 processor schedu...
27 篇 timing
25 篇 particle swarm o...
24 篇 hardware
23 篇 computer archite...
22 篇 neural networks
21 篇 intelligent netw...
20 篇 fault tolerance
20 篇 power system sim...
20 篇 protocols
19 篇 power system dyn...
18 篇 scheduling algor...
18 篇 bandwidth

机构

94 篇 real-time comput...
21 篇 real-time power ...
18 篇 real-time comput...
12 篇 school of electr...
10 篇 ieee
10 篇 real-time power ...
9 篇 real-time power ...
7 篇 real-time power ...
6 篇 department of el...
6 篇 school of electr...
5 篇 real time comput...
5 篇 real-time power ...
5 篇 university of kw...
5 篇 real-time power ...
5 篇 department of el...
5 篇 real-time comput...
5 篇 real-time comput...
4 篇 beijing key labo...
4 篇 university of kw...
4 篇 real-time power ...

作者

101 篇 k.g. shin
53 篇 ganesh k. venaya...
38 篇 shin kang g.
29 篇 venayagamoorthy ...
28 篇 g.k. venayagamoo...
27 篇 kang g. shin
22 篇 shin kg
13 篇 ganesh kumar ven...
11 篇 r.g. harley
9 篇 ronald g. harley
9 篇 g. k. venayagamo...
8 篇 f. jahanian
8 篇 wei qiao
7 篇 wang shige
7 篇 b. ravindran
6 篇 s. kodase
6 篇 rajan ratnakumar
6 篇 j. rexford
6 篇 ching-chih han
6 篇 s. mohagheghi

语言

399 篇 英文
11 篇 其他
5 篇 中文

检索条件"机构=Real-Time Computing Laboratory Department of Electrical Engineering and Computer"

共 415 条记录，以下是181-190 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：

Distributed mining of partial periodic patterns in sequences

Distributed mining of partial periodic patterns in sequences

引用

作者： Hsiao, Han-Wen Tsai, Meng-Shu Tsai, Jeffrey J. P. Department of Computer Science and Information Engineering Asia University Taiwan Taiwan Institute of Information Technology Asia University Taiwan Taiwan Department of Computer Science University of Illinois Chicago United States Taichung Healthcare and Management University Department of Computer Science and Information Engineering Department of Biotechnology and Bioinformatics Department of Electrical Engineering and Computer Science University of Illinois Chicago Distributed Real-Time Intelligent Systems Laboratory

It has been an important task of discovering frequent fragments as particular patterns from large sequence databases generated from a variety of applications. In general, the patterns to be discovered may partially and asynchronously exist in sequences, and even contain gaps. In addition, it is necessary to collect the information regarding the locations and frequencies of the patterns. How to enumerate candidate patterns for evaluation without exponentially increasing the computation is another problem. In this paper, the modified periodicity transform is proposed to meet the requirements mentioned above. Also, a distributed computing framework is implemented to perform the mining task more efficiently. Both synthetic and biological sequences are utilized to examine the approach. The experimental results demonstrate the efficiency and effectiveness the system.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Optimal control parameters for a UPFC in a multimachine using PSO

Optimal control parameters for a UPFC in a multimachine usin...

引用

International Conference on Intelligent Systems Applications to Power Systems (ISAP)

作者： G.K. Venayagamoorthy Real-Time Power and Intelligent System Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

The crucial factor affecting the modern power systems today is load flow control. The unified power flow controller (UPFC) is an effective means for controlling the power flow and can provide damping capability during transient conditions. The UPFC is controlled conventionally using PI controllers. The optimal design of the PI controllers for a UPFC is a challenging task and time consuming using the conventional techniques. This paper presents an approach using particle swarm optimization (PSO) for the design of optimal conventional controllers for a UPFC in a multimachine power system. Simulation results are presented to show the effectiveness of the proposed PSO based approach for the design of optimal conventional controllers for a UPFC in a multimachine power system

关键词： Optimal control Power system simulation Power system transients Load flow Power system control Power systems Load flow control Damping Particle swarm optimization Control systems

来源：评论

学校读者我要写书评

暂无评论

Comparison of non-uniform optimal quantizer designs for speech coding with adaptive critics and particle swarm

Comparison of non-uniform optimal quantizer designs for spee...

引用

Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： W. Zha G.K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

This paper presents the design of a companding non-uniform optimal scalar quantizer for speech coding. The quantizer is designed using two neural networks to perform the nonlinear transformation. These neural networks are used in the front and back ends of a uniform quantizer. Two approaches are presented in this paper namely adaptive critic designs (ACD) and particle swarm optimization (PSO), aiming to maximize the signal to noise ratio (SNR). The comparison of these optimal quantizer designs over bit rate range of 3 to 6 is presented. The perceptual quality of the coding is evaluated by the International Telecommunication Union's Perceptual Evaluation of Speech Quality (PESQ) standard.

关键词： Speech coding Particle swarm optimization Quantization Neural networks Bit rate Speech analysis Signal to noise ratio Telecommunication standards Humans Signal resolution

来源：评论

学校读者我要写书评

暂无评论

A neural network based optimal wide area control scheme for a power system

A neural network based optimal wide area control scheme for ...

引用

Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： G.K. Venayagamoorthy S. Ray Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

With deregulation of the power industry, many tie lines between control areas are driven to operate near their maximum capacity, especially those serving heavy load centers. Wide area control systems (WACSs) using wide-area or global signals can provide remote auxiliary control signals to local controllers such as automatic voltage regulators, power system stabilizers, etc to damp out inter-area oscillations. This paper presents the design and the DSP implementation of a nonlinear optimal wide area controller based on adaptive critic designs and neural networks for a power system on the real-time digital simulator (RTDS/spl reg/). The performance of the WACS as a power system stability agent is studied using the Kundur's two area power system example. The WACS provides better damping of power system oscillations under small and large disturbances even with the inclusion of local power system stabilizers.

关键词： Neural networks Optimal control Control systems Power system control Power systems Power system simulation Power system stability Automatic voltage control Automatic control Power industry

来源：评论

学校读者我要写书评

暂无评论

Neural networks based non-uniform scalar quantizer design with particle swarm optimization

Neural networks based non-uniform scalar quantizer design wi...

引用

IEEE Swarm Intelligence Symposium, SIS

作者： W. Zha G.K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

Quantization is a crucial link in the process of digital speech communication. Non-uniform quantizer such as the logarithm quantizers are commonly used in practice. In this paper, a companding non-uniform quantizer is designed using two neural networks to perform the nonlinear transformation. Particle swarm optimization is applied to find the weights of neural networks such that the signal to noise ratio (SNR) is maximized. Simulation results on different speech samples are presented and the proposed quantizer design is compared with the logarithm quantizer for bit rates ranging from 3 to 8.

关键词： Neural networks Particle swarm optimization Quantization Bit rate Signal to noise ratio Humans Ear Nonlinear distortion Speech processing Oral communication

来源：评论

学校读者我要写书评

暂无评论

A dynamic recurrent neural network for wide area identification of a multimachine power system with a FACTS device

A dynamic recurrent neural network for wide area identificat...

引用

International Conference on Intelligent Systems Applications to Power Systems (ISAP)

作者： S. Mohagheghi G.K. Venayagamoorthy R.G. Harley Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

Multilayer perceptron and radial basis function neural networks have been traditionally used for plant identification in power systems applications of neural networks. While being efficient in tracking the plant dynamics in a relatively small system, their performance degrades as the dimensions of the plant to be identified are increased, for example in supervisory level identification of a multimachine power system for wide area control purposes. Recurrent neural networks can deal with such a problem by modeling the system as a set of differential equations and with less order of complexity. Such a recurrent neural network identifier is designed and implemented for supervisory level identification of a multimachine power system with a FACTS device. Simulation results are provided to show that the neuroidentifier can track the system dynamics with sufficient accuracy

关键词： Power system dynamics Recurrent neural networks Power systems Power system modeling Power system simulation Multilayer perceptrons Radial basis function networks Neural networks Multi-layer neural network Degradation

来源：评论

学校读者我要写书评

暂无评论

A neural network based Wide Area Monitor for a power system

A neural network based Wide Area Monitor for a power system

引用

2005 IEEE Power engineering Society General Meeting

作者： Li, Xiaomeng Venayagamoorthy, Ganesh K. IEEE Real-Time Power and Intelligent Systems Laboratory University of Missouri Rolla MO 65409 United States Department of Electrical and Computer Engineering University of Missouri Rolla United States South African Institute of Electrical Engineers IEEE St. Louis Computational Intelligence Department of Task Force on Intelligent Control Systems Secretary of the Intelligent Systems Subcommittee IEEE Power Engineering Society

ISBN: (纸本)078039156X

With the deregulation of power industry, many tie lines between control areas are driven to operate near their maximum capacity, especially those serving heavy load centers. Wide area controllers (WACs) using wide-area or global signals can provide remote auxiliary control signals to local controllers such as automatic voltage regulators, power system stabilizers, etc to damp out inter-area oscillations. The power system is highly nonlinear system with fast changing dynamics. In order to have an efficient WAC, an online system monitor/predictor is required to provide inter-area information to the WAC from time to time. This paper presents the design of an online Wide Area Monitor (WAM) using a neural network called the Wide Area Neuroidentifier (WANI). The WANI is used to predict ahead the speed deviations of generators in the different areas using phasor measurement unit (PMU). Results are presented to show the effectiveness of the wide area monitor for different disturbances. © 2005 IEEE.

关键词： Wide area networks

来源：评论

学校读者我要写书评

暂无评论

A novel method for predicting harmonic current injection from non-linear loads using neural networks

A novel method for predicting harmonic current injection fro...

引用

Annual Conference of Industrial Electronics Society

作者： J. Mazumdar R. Harley F. Lambert G.K. Venayagamoorthy School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MA USA

Generation of harmonics and the existence of waveform pollution in power system networks is one of the major problems facing the utilities. This paper proposes a neural network solution methodology for the problem of measuring the actual amount of harmonic current injected into a power network by a nonlinear load. The determination of harmonic currents is complicated by the fact that the supply voltage waveform is distorted by other loads and is rarely a pure sinusoid. A recurrent neural network trained with the backpropagation through time (BPTT) training algorithm is used to find a way of distinguishing between the load harmonics and supply harmonics, without disconnecting the load from the network. The biggest advantage of this method is that only waveforms of voltages and currents have to be measured. This method is applicable for both single and three phase loads. This technology could be fabricated into a commercial instrument that could be installed in substations of large customer loads, or used as a hand-held clip on instrument

关键词： Neural networks Power system harmonics Current measurement Pollution measurement Voltage Instruments Power generation Power system measurements Distortion measurement Power measurement

来源：评论

学校读者我要写书评

暂无评论

Using a Neural Network to Distinguish Between the Contributions to Harmonic Pollution of Non-Linear Loads and the Rest of the Power System

Using a Neural Network to Distinguish Between the Contributi...

引用

Annual IEEE Conference on Power Electronics Specialists (PESC)

Harmonics are one of the important power quality measurable quantities. This paper proposes a neural network solution methodology for the problem of measuring the actual amount of harmonic current injected into a power network by a non-linear load. The determination of harmonic currents is complicated by the fact that the supply voltage waveform is distorted by other loads and is rarely a pure sinusoid. Harmonics may therefore be classified as contributions from the load on the one hand and contributions from the power system or supply harmonics on the other hand. A recurrent neural network architecture based method is used to find a way of distinguishing between the load contributed harmonics and supply harmonics, without disconnecting the load from the network. The main advantage of this method is that only waveforms of voltages and currents have to be measured. This method is applicable for both single and three phase loads. This could be fabricated into a commercial instrument that could be installed in substations of large customer loads, or used as a hand-held clip on instrument

关键词： Power system harmonics Neural networks Pollution measurement Distortion measurement Power measurement Current measurement Voltage Instruments Power system measurements Power quality

来源：评论

学校读者我要写书评

暂无评论

Adaptive critic designs for optimal control of power systems

Adaptive critic designs for optimal control of power systems

引用

International Conference on Intelligent Systems Applications to Power Systems (ISAP)

作者： G.K. Venayagamoorthy R.G. Harley Real-Time Power and Intelligent Systems (RTPIS) Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

The increasing complexity of the modern power grid highlights the need for advanced modeling and control techniques for effective control of excitation, turbine and flexible AC transmission systems (FACTS). The crucial factors affecting the modern power systems today is voltage and load flow control. Simulation studies in the PSCAD/EMTDC environment and realtime laboratory experimental studies carried out are described and the results show the successful control of the power system elements and the entire power system with adaptive and optimal neurocontrol schemes. Performances of the neurocontrollers are compared with the conventional PI controllers for damping under different operating conditions for small and large disturbances

关键词： Programmable control Adaptive control Optimal control Power system control Power systems Power system simulation PSCAD Power system modeling Flexible AC transmission systems Power grids

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42页 << < 15 16 17 18 19 20 21 22 23 24 > >>

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：