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

6,437 篇 会议
961 篇 期刊文献
4 篇 学位论文
1 册 图书

馆藏范围

7,403 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,187 篇 工学
- 1,125 篇 电气工程
- 924 篇 计算机科学与技术...
- 665 篇 信息与通信工程
- 272 篇 控制科学与工程
- 203 篇 仪器科学与技术
- 165 篇 机械工程
- 164 篇 软件工程
- 128 篇 电子科学与技术（可...
- 101 篇 交通运输工程
- 101 篇 生物医学工程（可授...
- 88 篇 测绘科学与技术
- 72 篇 航空宇航科学与技...
- 34 篇 土木工程
- 29 篇 生物工程
- 24 篇 环境科学与工程（可...
- 19 篇 网络空间安全
- 17 篇 船舶与海洋工程
- 16 篇 光学工程
284 篇 理学
- 80 篇 系统科学
- 62 篇 物理学
- 50 篇 地球物理学
- 34 篇 数学
- 34 篇 生物学
- 22 篇 地理学
180 篇 医学
- 120 篇 临床医学
- 29 篇 基础医学(可授医学...
164 篇 管理学
- 155 篇 管理科学与工程(可...
49 篇 农学
- 26 篇 作物学
- 22 篇 农业资源与环境
35 篇 文学
- 35 篇 新闻传播学
14 篇 艺术学
6 篇 军事学
5 篇 经济学
4 篇 教育学
3 篇 法学

主题

7,403 篇 detection algori...
757 篇 detectors
754 篇 feature extracti...
621 篇 algorithm design...
576 篇 object detection
531 篇 image edge detec...
383 篇 testing
364 篇 robustness
330 篇 cameras
307 篇 computer science
283 篇 monitoring
277 篇 accuracy
274 篇 data mining
265 篇 computational mo...
255 篇 image segmentati...
234 篇 signal to noise ...
233 篇 clustering algor...
199 篇 change detection...
195 篇 pixel
191 篇 electrocardiogra...

机构

17 篇 school of electr...
15 篇 beijing universi...
13 篇 department of el...
13 篇 department of el...
11 篇 institute for in...
11 篇 department of el...
10 篇 national mobile ...
9 篇 department of el...
9 篇 wireless theorie...
8 篇 department of el...
8 篇 graduate school ...
8 篇 department of au...
8 篇 institute of com...
7 篇 beijing key labo...
7 篇 school of electr...
7 篇 department of el...
7 篇 department of el...
7 篇 department of el...
7 篇 mit lincoln labo...
7 篇 southeast univ n...

作者

13 篇 wei li
13 篇 bin wu
9 篇 dacheng yang
9 篇 ming chen
9 篇 h. wang
9 篇 r. raheli
8 篇 xin liu
8 篇 jaeseok kim
8 篇 shixin cheng
8 篇 keiichi tamura
8 篇 v.k. garg
8 篇 j. mcnames
8 篇 xin zhang
7 篇 lei wang
7 篇 a. schaum
7 篇 hajime kitakami
7 篇 hui zhao
7 篇 giulio colavolpe
7 篇 hui li
7 篇 yong li

语言

7,323 篇 英文
39 篇 其他
36 篇 中文
4 篇 西班牙文
1 篇 土耳其文

检索条件"主题词=detection algorithms"

共 7403 条记录，以下是4121-4130 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：

A FPGA-Based Dual-Pixel Processing Pipelined Hardware Accelerator for Feature Point detection Part in SIFT

A FPGA-Based Dual-Pixel Processing Pipelined Hardware Accele...

引用

International Joint Conference on INC, IMS and IDC, NCM

作者： Jingbang Qiu Tianci Huang Takeshi Ikenaga Graduate School of IPS Waseda University Kitakyushu Japan

SIFT is regarded as one of the most robust feature point detection algorithms in CV field. The feature point detection part, allocating final positions of all feature points, majorly defines the accuracy and stability of the whole system. In this paper, we propose an FPGA-implementable hardware accelerator for this part. By introducing dual-pixel processing and the 3-stage-interpolation pipelined architecture with use of dual-port DDR2 memory access, we achieve to further improve process speed, meanwhile keeping high accuracy. By experiment, our system proves to reach max clock frequency of 145.0 MHz, processing up to 40 VGA images including memory operations. Compared with conventional work, hardware cost is slightly increased as trade-off for accelerated speed. High efficiency as 98.72% and high cover rate as 92.85% are kept by our proposal. Our proposal is suitable as a real-time SIFT system structure.

关键词： Hardware Computer vision Proposals Robustness detection algorithms Stability Clocks Frequency Costs Acceleration

来源：评论

学校读者我要写书评

暂无评论

Community detection in Large-Scale Bipartite Networks

Community Detection in Large-Scale Bipartite Networks

引用

IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Xin Liu Tsuyoshi Murata Department of Computer Science Graduate School of Information Science and Engineering Tokyo Institute of Technology Tokyo Japan

Community detection in networks receives much attention recently. Most of the previous works are for unipartite networks composed of only one type of nodes. In real world situations, however, there are many bipartite networks composed of two types of nodes. In this paper, we propose a fast algorithm called LP&BRIM for community detection in large-scale bipartite networks. It is based on a joint strategy of two developed algorithms -- label propagation (LP), a very fast community detection algorithm, and BRIM, an algorithm for generating better community structure by recursively inducing divisions between the two types of nodes in bipartite networks. Through experiments, we demonstrate that this new algorithm successfully finds meaningful community structures in large-scale bipartite networks in reasonable time limit.

关键词： Large-scale systems Intelligent agent Intelligent networks detection algorithms Conferences Computer science Information science Electronic mail Complex networks Particle measurements

来源：评论

学校读者我要写书评

暂无评论

Anomaly detection Using Improved Hierarchy Clustering

Anomaly Detection Using Improved Hierarchy Clustering

引用

International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Liang Hu Weiwu Ren Fei Ren Department of Computer Science and Technology Jilin University Changchun China

Most anomaly detection methods can not be fit for the changing and complex network. High noise and updating normality profiles not in time will lead to high false alarm rate. In this paper, a new anomaly detection algorithm using improved hierarchy clustering, called ADIHC, is proposed in this paper. It applies an improved hierarchy clustering tree to organize clusters which are obtained by density-based partitioning method. We extend the clustering algorithm and apply branch and bound method for filtering noise. With the help of two advantages: filtering noise and updating normality profiles at any time, our algorithm is suitable for the changing and complex network. A series of experimental results on well known KDD Cup 1999 dataset indicate that ADIHC has superior performance of detection and meets more real-time requirements of intrusion detection system.

关键词： Clustering algorithms Intrusion detection Partitioning algorithms Complex networks detection algorithms Filtering algorithms Clustering methods Artificial intelligence Computational intelligence Computer science

来源：评论

学校读者我要写书评

暂无评论

Automatic defects detection in industrial C/C++ software

Automatic defects detection in industrial C/C++ software

引用

Central and Eastern European Software Engineering Conference in Russia (CEE-SECR)

作者： Vladimir Itsykson Mikhail Moiseev Vadim Tsesko Alexey Zakharov Saint Petersburg State Polytechnical University Russia

The solution to the problem of automatic defects detection in industrial software is covered in this paper. The results of the experiments with the existing tools are presented. These results stand for inadequate efficiency of the implemented analysis. Existing source code static analysis methods and defects detection algorithms are covered. The program model and the analysis algorithms based on existing approaches are proposed. The problems of co-execution of different analysis algorithms are explored. The ways for improvement of analysis precision and algorithms performance are proposed. Advantages of the approaches developed are: soundness of a solution, full support of the features of target programming languages and analysis of the programs lacking full source code using annotations mechanism. The algorithms proposed in the paper are implemented in the automatic defects detection tool.

关键词： Computer industry Algorithm design and analysis detection algorithms Performance analysis Computer languages

来源：评论

学校读者我要写书评

暂无评论

Joint channel estimation and data detection for OFDM systems over doubly selective channels

Joint channel estimation and data detection for OFDM systems...

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Lanlan He Shaodan Ma Yik-Chung Wu Tung-Sang Ng Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong China

In this paper, a joint channel estimation and data detection algorithm is proposed for OFDM systems under doubly selective channels (DSCs). After representing the DSC using Karhunen-Loe¿ve basis expansion model (K-L BEM), the proposed algorithm is developed based on the expectation-maximization (EM) algorithm. Basically, it is an iterative algorithm including two steps at each iteration. In the first step, the unknown coefficients in K-L BEM are first integrated out to obtain a function which only depends on data, and meanwhile, a maximum a posteriori (MAP) channel estimator is obtained. In the second step, data are directly detected by a novel approach based on the function obtained in the first step. Moreover, a Bayesian Cramer-Rao Lower Bound (BCRB) which is valid for any channel estimator is also derived to evaluate the performance of the proposed channel estimator. The effectiveness of the proposed algorithm is finally corroborated by simulation results.

关键词： Channel estimation OFDM Iterative algorithms detection algorithms Time-varying channels Detectors Intersymbol interference Helium Data engineering Multiaccess communication

来源：评论

学校读者我要写书评

暂无评论

A New Type of Automatic Ship detection Method

A New Type of Automatic Ship Detection Method

引用

International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Zhuo Chen Coll. of Inf. Sci. & Technol. Qingdao Univ. of Sci. & Technol. Qingdao China

A new type of automatic ship detection algorithm is proposed in this paper. By determining whether the local area is heterogeneous, simplex two-parameter CFAR algorithm based on Gauss-distribution or both two-parameter CFAR algorithm based on Gauss-distribution and two-parameter CFAR verification algorithm based on K-distribution are used to detect targets. This new type of algorithm keeps both the ability of traditional two-parameter CFAR algorithm' good features, such as small computation quantity, easy to implement and so on, and the detection accuracy in complex sea conditions at the same time.

关键词： Marine vehicles Signal processing algorithms Clutter Sea surface detection algorithms Radar detection Gaussian distribution Synthetic aperture radar Surface treatment Weibull distribution

来源：评论

学校读者我要写书评

暂无评论

Improved small target detection for IR point target

Improved small target detection for IR point target

引用

International Conference on Infrared and Millimeter Waves

作者： Jihui Ye Yongjin Kim Boohwan Lee Jieun Kim Byungin Choi Samsung Thales Company Limited Yongin si Gyeonggi South Korea Agency for Defence Development Daejeon South Korea

ISBN: (纸本)9781424454167

In the target detection algorithm based on the bivariate cubic facet fitting (BCFF), the target position can be selected so that the position has the maximum value or energy value of the filtered result. However, in the cluttered environment, it may generate a large number of clutters. In this paper, we propose the target detection algorithm which applies the maximum local contrast as the target selection method. Our proposed algorithm can considerably improve the detection rate more than the method using the maximum energy value.

关键词： Object detection Filters Face detection Missiles detection algorithms Filtering Shape Polynomials Cameras Temperature

来源：评论

学校读者我要写书评

暂无评论

Theoretically Optimal Distributed Anomaly detection

Theoretically Optimal Distributed Anomaly Detection

引用

IEEE International Conference on Data Mining Workshops (ICDM Workshops)

作者： Aleksandar Lazarevic Nisheeth Srivastava Ashutosh Tiwari Josh Isom Nikunj Oza Jaideep Srivastava United Technologies Corporation Hartford CT USA Department of Computer Science University of Minnesota MN USA NASA Ames Research Center Moffett Field CA USA

A novel general framework for distributed anomaly detection with theoretical performance guarantees is proposed. Our algorithmic approach combines existing anomaly detection procedures with a novel method for computing global statistics using local sufficient statistics. Under a Gaussian assumption, our distributed algorithm is guaranteed to perform as well as its centralized counterpart, a condition we call `zero information loss'. We further report experimental results on synthetic as well as real-world data to demonstrate the viability of our approach.

关键词： Data mining Distributed algorithms Statistical distributions detection algorithms Monitoring Conferences Space technology Computer science NASA Data privacy

来源：评论

学校读者我要写书评

暂无评论

A P2P-Based Distributed detection Scheme against DDoS Attack

A P2P-Based Distributed Detection Scheme against DDoS Attack

引用

International Workshop on Education Technology and Computer Science, ETCS

作者： Zaihong Zhou Dongqing Xie Wei Xiong School of Computer and Communications Hunan University Changsha China School of Computer Science and Educational Software Guangzhou University Guangzhou China

The distributed hosts in the Internet are organized into a P2P network by chord protocol for detection. The detection node uses the CUSUMpsilas sensitivity to the slight change to detect the change in the amount of packets to destination address. Upon the abnormality detected, it is broadcast based on the node trust. The response nodes use space similarity algorithm to calculate the similarity between request node and response node. The victim end makes a comprehensive decision whether the DDoS attack *** scheme detects DDoS at the source end; it can prevent the DDoS attack by means of forged IP address and random IP address and trace the origin of the attack hosts. The experimental results indicate that our scheme has better performance than CUSUM and time similarity algorithm single deployed. It can reach as high as 96.1% detection rate and with only 6.9% false positives rate.

关键词： Computer crime Broadcasting Change detection algorithms Protocols Scalability Computer science Computer networks Distributed computing IP networks detection algorithms

来源：评论

学校读者我要写书评

暂无评论

An Intrusion detection Method for Ad Hoc Network Based on Class Association Rules Mining

An Intrusion Detection Method for Ad Hoc Network Based on Cl...

引用

Japan-China Joint Workshop on Frontier of Computer Science and Technology (FCST)

作者： Chuan-xiang Ma Ze-ming Fang Rui Chen School of mathematics and computer science Hubei University Wuhan China School of mathematics and computer science Hubei University Wuhan Wuhan China

Ad Hoc network is a newly developed network without fixed infrastructure and a changing topology. Its vulnerability makes it prone to attacks, which brings greater challenges for intrusion detection for Ad Hoc. Through analyzing the existing intrusion detection techniques as well as the characteristics of Ad Hoc network, this paper has proposed an intrusion detection technique based on class association rules. The result has shown that this method is more accurate and efficient than other methods of its kind, especially for the hidden attack detection.

关键词： Intrusion detection Ad hoc networks Association rules Data mining Data security detection algorithms Computer science Network topology Mobile ad hoc networks Monitoring

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500页 << < 409 410 411 412 413 414 415 416 417 418 > >>

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：