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

1,700 篇 会议
1,561 篇 期刊文献
8 册 图书

馆藏范围

3,269 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,097 篇 工学
- 1,249 篇 计算机科学与技术...
- 989 篇 软件工程
- 401 篇 信息与通信工程
- 310 篇 电子科学与技术（可...
- 293 篇 控制科学与工程
- 277 篇 电气工程
- 238 篇 光学工程
- 201 篇 机械工程
- 185 篇 生物工程
- 150 篇 仪器科学与技术
- 129 篇 生物医学工程（可授...
- 103 篇 动力工程及工程热...
- 102 篇 化学工程与技术
- 86 篇 材料科学与工程（可...
- 84 篇 交通运输工程
- 78 篇 土木工程
- 53 篇 建筑学
1,092 篇 理学
- 520 篇 数学
- 323 篇 物理学
- 225 篇 生物学
- 166 篇 统计学（可授理学、...
- 117 篇 系统科学
- 105 篇 化学
530 篇 管理学
- 327 篇 管理科学与工程(可...
- 212 篇 图书情报与档案管...
- 114 篇 工商管理
119 篇 医学
- 98 篇 临床医学
- 75 篇 基础医学(可授医学...
- 48 篇 药学(可授医学、理...
71 篇 法学
- 59 篇 社会学
39 篇 经济学
29 篇 农学
11 篇 教育学
10 篇 军事学
5 篇 文学
4 篇 艺术学

主题

77 篇 laboratories
75 篇 feature extracti...
70 篇 computer science
60 篇 data mining
55 篇 computational mo...
52 篇 deep learning
52 篇 training
50 篇 optimization
50 篇 semantics
43 篇 accuracy
36 篇 machine learning
33 篇 predictive model...
32 篇 protocols
32 篇 clustering algor...
31 篇 object detection
30 篇 neural networks
28 篇 reinforcement le...
28 篇 bandwidth
28 篇 data models
26 篇 computer archite...

机构

111 篇 national enginee...
95 篇 college of compu...
59 篇 school of comput...
58 篇 college of infor...
47 篇 hubei province k...
41 篇 the key laborato...
36 篇 department of co...
36 篇 school of cyber ...
33 篇 school of inform...
33 篇 school of comput...
30 篇 school of optica...
30 篇 university of ch...
29 篇 shenzhen city ke...
28 篇 school of comput...
27 篇 national enginee...
25 篇 hubei key labora...
25 篇 key laboratory o...
25 篇 peng cheng labor...
24 篇 shenzhen univers...
23 篇 school of comput...

作者

43 篇 shen linlin
40 篇 ren jiadong
36 篇 hai jin
33 篇 jin hai
28 篇 yang yang
25 篇 mei-ling shyu
25 篇 shu-ching chen
21 篇 zhigang zhang
20 篇 chen shu-ching
20 篇 ji zhen
19 篇 hu shengshan
18 篇 wang xingjun
18 篇 shyu mei-ling
17 篇 zhen ji
17 篇 linlin shen
17 篇 li jianqiang
16 篇 陈景标
16 篇 zhang zhigang
16 篇 shu haowen
14 篇 zhang leo yu

语言

2,855 篇 英文
302 篇 其他
115 篇 中文
1 篇 日文

检索条件"机构=Computer Science and Engineering System Laboratory"

共 3269 条记录，以下是2941-2950 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：

Particle swarm optimization using Leávy probability distribution

引用

2nd International Symposium on Intelligence Computation and Applications, ISICA 2007

作者： Cai, Xingjuan Zeng, Jianchao Cui, Zhihua Tan, Ying Division of System Simulation and Computer Application Taiyuan University of Science and Technology Shanxi 030024 China State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 China

ISBN: (纸本)9783540745808

Velocity threshold is an important parameter to affect the performance of particle swarm optimization. In this paper, a novel velocity threshold automation strategy is proposed by incorporated with Leávy probability distribution. Different from Gaussian and Cauchy distribution, it has an infinite second moment and is likely to generate an offspring that is far away from its parent. Therefore, this method employs a larger capability of the global exploration by providing a large velocity scale for each particle. Simulation results show the proposed strategy is effective and efficient. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Optimal systems

来源：评论

学校读者我要写书评

暂无评论

The hybrid density filter for nonlinear estimation based on hybrid conditional density approximation

The hybrid density filter for nonlinear estimation based on ...

引用

International Conference on Information Fusion

作者： Marco F. Huber Uwe D. Hanebeck Intelligent Sensor-Actuator-System Laboratory Institute of Computer Science and Engineering Universität Karlsruhe Germany

ISBN: (纸本)9780662478300;0662478304

In nonlinear Bayesian estimation it is generally inevitable to incorporate approximate descriptions of the exact estimation algorithm. There are two possible ways to involve approximations: Approximating the nonlinear stochastic system model or approximating the prior probability density function. The key idea of the introduced novel estimator called Hybrid Density Filter relies on approximating the nonlinear system, thus approximating conditional densities. These densities nonlinearly relate the current system state to the future system state at predictions or to potential measurements at measurement updates. A hybrid density consisting of both Dirac delta functions and Gaussian densities is used for an optimal approximation. This paper addresses the optimization problem for treating the conditional density approximation. Furthermore, efficient estimation algorithms are derived based upon the special structure of the hybrid density, which yield a Gaussian mixture representation of the system state's density.

关键词： Filters Density measurement Nonlinear systems Bayesian methods Signal processing algorithms State estimation Random variables Sampling methods Density functional theory Probability density function

来源：评论

学校读者我要写书评

暂无评论

Fuzzy reliability of an iSCSI-based disk array system

引用

通讯和计算机（中英文版） 2007年第7期4卷 37-42页

作者： JIANG Ming-hua ZHOU Jing-li HU Ming College of Computer Science ＆ Technology Wuhan University of Science ＆ Engineering Wuhan 430073 China Key Laboratory of Data Storage System Huazhong University of Science ＆ Technology Wuhan 430074 China

来源：评论

学校读者我要写书评

暂无评论

Solutions for Real Chip Implementation Issues of NoC and Their Application to Memory-Centric NoC

Solutions for Real Chip Implementation Issues of NoC and The...

引用

International Symposium on Networks-on-Chip (NOCS)

作者： Donghyun Kim Kwanho Kim Joo-Young Kim Seung-Jin Lee Hoi-Jun Yoo Semiconductor System Laboratory Department of Electronic Engineering and Computer Science Korea Advanced Institute of Science and Technology Daejeon South Korea

This paper describes real chip implementation issues of network-on-chip (NoC) and their solutions along with series of chip design examples. The solutions described in this paper cover both architectural aspects and circuit level techniques for practical chip implementation of NoC. As for architecture level solutions, topology selection, chip-aware protocol design, and on-chip serialization (OCS) for link area reduction are explained. For circuit level techniques, SERDES and synchronizer design, crossbar switch partial activation, and low-voltage link are presented as the foundations for power and area efficient NoC implementation. Regarding presented solutions for NoC implementation, this paper proposes memory centric NoC (MC-NoC) for homogeneous multi processor SoC (MPSoC). Flexibility and feasibility of task mapping on homogeneous SoC is the key feature of the MC-NoC. 8 dual port SRAMs connected to crossbar switches in hierarchical star topology network facilitate data communication between processors, regardless of task mapping into the MC-NoC. Experimental result obtained by mapping edge detection tasks on the MC-NoC in various configurations shows almost constant performance. This result proves the effectiveness of the proposed architecture. The MC-NoC based SoC is also implemented on TSMC 0.18 um process technology

关键词： Network-on-a-chip Switches Network topology Chip scale packaging Circuit topology Protocols Switching circuits Communication switching Data communication Image edge detection

来源：评论

学校读者我要写书评

暂无评论

An 81.6 GOPS Object Recognition Processor Based on NoC and Visual Image Processing Memory

An 81.6 GOPS Object Recognition Processor Based on NoC and V...

引用

29th Annual IEEE Custom Integrated Circuits Conference (CICC 2007), vol.2

作者： Donghyun Kim Kwanho Kim Joo-Young Kim Seungjin Lee Hoi-Jun Yoo Semiconductor System Laboratory Department of Electronic Engineering and Computer Science Korea Advanced Institute of Science and Technology Daejeon South Korea

An 81.6 GOPS object recognition processor is developed by using NoC and Visual Image Processing (VIP) memory. SIFT (Scale Invariant Feature Transform) object recognition requires huge computing power and data transactions among tasks. The chip integrates 10 SIMD PEs for data/task level parallelism while the NoC facilitates inter-PE communications. The VIP memory searches local maximum pixel inside a 3×3 window in a single cycle providing 65.6 GOPS. The proposed processor achieves 15.9fps SIFT feature extraction at 200MHz.

关键词： Object recognition Network-on-a-chip Image processing Parallel processing Vehicle detection computer architecture Intelligent robots Concurrent computing Filtering Energy consumption

来源：评论

学校读者我要写书评

暂无评论

Implementation of Memory-Centric NoC for 81.6 GOPS object recognition processor

Implementation of Memory-Centric NoC for 81.6 GOPS object re...

引用

IEEE Asian Conference on Solid-State Circuits (ASSCC)

作者： Donghyun Kim Kwanho Kim Joo-Young Kim Seungjin Lee Hoi-Jun Yoo Semiconductor System Laboratory Department of Electronics Engineering and Computer Science Korea Advanced Institute of Science and Technology Daejeon South Korea

An 81.6 GOPS object recognition processor based on memory-centric NoC (MC-NoC) is implemented in a 0.18-mum CMOS technology. The MC-NoC facilitates data transactions among 10 SIMD processing elements (PEs) by exploiting 8 visual image processing (VIP) memories. The 10 PEs implement special SIMD instructions to perform Gaussian filtering at 16 GOPS. The 8 VIP memories provide one cycle local maximum pixels search operation performing 65.6 GOPS. The chip dissipates 1.4 W at 200 MHz operating frequency.

关键词： Network-on-a-chip Object recognition Parallel processing CMOS technology Image processing Intelligent robots Energy consumption Pixel Memory management Communication channels

来源：评论

学校读者我要写书评

暂无评论

An Online Semi-Supervised Clustering Algorithm Based on a Self-organizing Incremental Neural Network

An Online Semi-Supervised Clustering Algorithm Based on a Se...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Youki Kamiya Toshiaki Ishii Shen Furao Osamu Hasegawa Department of Computer Intelligence and System Science Tokyo Institute of Technology Yokohama Japan Imaging Science and Engineering Laboratory Tokyo Institute of Technology Japan Department of Computer Science Nanjin University China

This paper presents an online semi-supervised clustering algorithm based on a self-organizing incremental neural network (SOINN). Using labeled data and a large amount of unlabeled data, the proposed semi-supervised SOINN (ssSOINN) can automatically learn the topology of input data distribution without any prior knowledge such as the number of nodes or a good network structure; it can subsequently divide the structure into sub-structures as the need arises. Experimental results we obtained for artificial data and real-world data show that the ssSOINN has superior performance for separating data distributions with high-density overlap and that ssSOINN Classifier (S3C) is an efficient classifier.

关键词： Clustering algorithms Neural networks Semisupervised learning Artificial neural networks Humans Network topology Supervised learning Stability Algorithm design and analysis Robustness

来源：评论

学校读者我要写书评

暂无评论

Intelligent Data Analysis for Diagnostics of Alcohol Dependency

Intelligent Data Analysis for Diagnostics of Alcohol Depende...

引用

Annual IEEE Symposium on computer-Based Medical systems

作者： Petra Povalej Matej Kravos Peter Kokol Laboratory for System Design Faculty of Electrical Engineering and Computer Science University of Maribor Slovenia Psychiatric Hospital Ormož Ormoz Slovenia

The alcohol dependency is hard to diagnose since none of the existing laboratory markers has sufficient specificity and sensitivity. Therefore the goal of our study was to find better laboratory markers and / or their combinations. For that purpose the intelligent data analysis using the decision tree induction method was used. The results show that the combination of three or even two markers can prove alcohol dependency with almost 85% accuracy. However the remark has to be made that the induced decision tree offers a qualitatively different access to diagnostic evaluation of laboratory findings and varies from common practice, because it sets up its new and own borders and criteria what is the unlike from generally accepted or set up reference values. All selected markers are widely accessible, inexpensive and part of a routine laboratory tests.

关键词： Data analysis Laboratories Decision trees Medical diagnostic imaging Alcoholism Testing Biochemistry Databases Decision making Learning systems

来源：评论

学校读者我要写书评

暂无评论

Estimation of Power system Variability due to Wind Power

Estimation of Power System Variability due to Wind Power

引用

Power Tech Conference

作者： George Papaefthymiou Jody Verboomen Lou van der Sluis Electrical Power System Laboratory (EPS) Faculty of Electrical Engineering Mathematics ' Computer Science Delft University of Technnology Delft Netherlands

The incorporation of wind power generation to the power system leads to an increase in the variability of the system power flows. The assessment of this variability is necessary for the planning of the necessary system reinforcements. For the assessment of this variability, the uncertainty in the system inputs should be modeled, comprising of the time-dependent stochasticity of the system loads and the correlated wind resources. In this contribution, a unified Monte-Carlo simulation methodology is presented that addresses both issues. The application of the method for the analysis of the wind power integration in the New England test system is presented.

关键词： Power systems Wind energy Power system modeling Wind energy generation Wind power generation Load flow Wind speed Stochastic systems Power generation Power system planning

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Reliability Analysis of Two-Disk Failure-Tolerant Disk Arrays

Fuzzy Reliability Analysis of Two-Disk Failure-Tolerant Disk...

引用

International Conference on Convergence Information Technology

作者： MingHua Jiang Jingli Zhou Ming Hu YiXiang Ding College of Computer Science &Technology Wuhan University of Science and Engineering Wuhan China Ministry of Education Key Laboratory of Data Storage System Wuhan China

ISBN: (纸本)9781424431779

This paper presents a data placement of a two-disk failure-tolerant disk arrays system, a code-mixing solution RAID5x with XOR-based code and mirror for disk arrays to improve performance of accessing storage system with high reliability. RAID5x is not only just higher in storage efficiency than other code-mixing solutions of the same type, but also it has the higher accessing performance over them and XOR-based code solutions, and then analyzed the reliability of this system by combination of fuzzy logic and Markov modeling. This reliability method is a technique for analyzing fault tolerant designs under considerable uncertainty, such as is seen in compilations of component failure rates, the presented model provides the estimation of the lower and upper boundary of a two-disk failure-tolerant disk array system with a single run of the model.

关键词： Failure analysis Redundancy Fuzzy logic Reliability engineering Performance analysis Information technology Information analysis Educational institutions computer science Laboratories

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327页 << < 291 292 293 294 295 296 297 298 299 300 > >>

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：