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

453 篇 会议
103 篇 期刊文献
12 篇 学位论文
11 册 图书

馆藏范围

579 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

464 篇 工学
- 322 篇 计算机科学与技术...
- 223 篇 电气工程
- 89 篇 软件工程
- 76 篇 信息与通信工程
- 54 篇 航空宇航科学与技...
- 43 篇 测绘科学与技术
- 38 篇 控制科学与工程
- 34 篇 仪器科学与技术
- 17 篇 电子科学与技术（可...
- 14 篇 机械工程
- 13 篇 光学工程
- 11 篇 材料科学与工程（可...
- 6 篇 生物医学工程（可授...
- 5 篇 动力工程及工程热...
- 4 篇 交通运输工程
- 4 篇 安全科学与工程
- 3 篇 建筑学
- 3 篇 土木工程
- 3 篇 化学工程与技术
278 篇 理学
- 233 篇 物理学
- 48 篇 数学
- 14 篇 统计学（可授理学、...
- 7 篇 系统科学
- 4 篇 化学
- 3 篇 地球物理学
- 3 篇 生物学
64 篇 医学
- 64 篇 临床医学
26 篇 管理学
- 16 篇 管理科学与工程(可...
- 14 篇 图书情报与档案管...
- 6 篇 工商管理
2 篇 军事学
1 篇 法学
1 篇 文学
1 篇 历史学
1 篇 农学

主题

92 篇 sensor fusion
86 篇 data fusion
80 篇 sensor data fusi...
34 篇 image fusion
34 篇 information fusi...
30 篇 sensors
22 篇 image processing
19 篇 target tracking
17 篇 neural networks
17 篇 wireless sensor ...
17 篇 sensor networks
14 篇 tracking
13 篇 fusion
13 篇 classification
12 篇 surveillance
10 篇 data processing
9 篇 signal processin...
9 篇 radar
9 篇 feature extracti...
9 篇 detection and tr...

机构

5 篇 university of ca...
5 篇 syracuse univ de...
4 篇 nova res inc ale...
3 篇 inria
3 篇 cnr-ieiit
3 篇 politecnico di t...
3 篇 naval res lab wa...
3 篇 chalmers univers...
3 篇 usn res lab wash...
3 篇 mit lincoln lab ...
3 篇 sichuan univ dep...
3 篇 stanford univ de...
3 篇 cnit
3 篇 dynetics inc.
3 篇 lockheed martin ...
2 篇 defence research...
2 篇 lockheed martin ...
2 篇 caltech jet prop...
2 篇 oak ridge nation...
2 篇 siemens corporat...

作者

8 篇 solaiman b
6 篇 varshney pk
6 篇 dasarathy bv
6 篇 dasarathy belur ...
6 篇 bosse eloi
4 篇 minor christian
4 篇 johnson kevin
4 篇 blasch erik
4 篇 hall david l.
4 篇 goebel k
4 篇 graham jacob l.
4 篇 petrovic v
4 篇 aarabi p
4 篇 rimland jeffrey ...
3 篇 lecours michel
3 篇 fortino giancarl...
3 篇 wide p
3 篇 braun jj
3 篇 minor christian ...
3 篇 lyons damian m.

语言

572 篇 英文
4 篇 中文
3 篇 其他

检索条件"任意字段=Sensor Fusion: Architectures, Algorithms and Applications II"

共 579 条记录，以下是71-80 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：

Adaptive local fusion systems for novelty detection and diagnostics in condition monitoring

Adaptive local fusion systems for novelty detection and diag...

引用

Conference on sensor fusion - architectures, algorithms, and applications ii

作者： Taylor, O MacIntyre, J Univ Sunderland Sch Comp & Informat Sci Ctr Adapt Syst Sunderland SR6 0DD England

ISBN: (纸本)0819428256

This paper describes the application of Kohonen Self Organising Maps in a dynamic machine condition monitoring application which learns fault conditions over time. The authors describe the implementation of a novelty detection and adaptive diagnostic system which forms a modular component of a larger on-line condition monitoring system. NEURAL-MAINE, a project under the European Union's EUREKA programme, aims to advance on-line condition monitoring applications by the use of neural networks, data fusion and multiple sensor technology. NEURAL-MAINE aims to implement a system on two levels: at the first,, Local fusion Systems (LFS) are used to model individual machine components, such as high pressure turbines;at the second, a larger 'Overseer' system sits above the LFS and takes in their input, as well as plant operating parameters, in order to give a global view of the condition of the plant. This paper describes the implementation and testing of the two major components of the Local fusion System, namely the novelty detection and the adaptive diagnostic systems. Novelty detection works by using a Kohonen-based neural network(1) to learn the normal operating state of the component that is being modeled, with new values being passed into the network to see if it is similar to the learned normal states of operation. If the new fused sensor values are unlike the values which the Kohonen neural network represents, this is nagged as novel, and the values are passed to the adaptive diagnostic system. The adaptive diagnostic system takes as its input the values that the novelty detection system identified as novel and passes these into the Kohonen-based diagnostic networks. If the diagnostic networks recognize the values then a local diagnosis is given and passed to the Overseer system. If the diagnostic networks do not recognize the values, then these patterns are dynamically learned as the new fault condition occurs, and the diagnostic networks are updated. This system a

关键词： neural networks data fusion novelty detection adaptive diagnostic system

来源：评论

学校读者我要写书评

暂无评论

Identity and attribute information fusion using evidential reasoning

Identity and attribute information fusion using evidential r...

引用

Conference on sensor fusion - architectures, algorithms, and applications

作者： Bosse, E Simard, MA Defence Research Establishment Valcartier (Canada) Lockheed Martin Canada (Canada)

ISBN: (纸本)081942482X

The aim of this paper is to explore the problem of fusing identity and attribute information emanating from different sources, and to offer the decision maker a quantitative analysis based on statistical methodology that can enhance his/her decision making process regarding the identity of detected objects. Two identity information fusion architectures are discussed here. The first is concerned with the fusion of identity declarations where the sources are expected to provide only useful and complete results such as an identity declaration. The second is concerned with the fusion of attribute information using a modified version of the Dempster-Shafer evidential combination algorithm.

关键词： sensors Information fusion Data fusion Data processing Radar Electronic support measures Telecommunications Signal processing Databases Probability theory

来源：评论

学校读者我要写书评

暂无评论

Empirical investigations on Dempster-Shafer reasoning system in attribute fusion

Empirical investigations on Dempster-Shafer reasoning system...

引用

Conference on sensor fusion: architectures, algorithms, and applications IV

作者： Silvennoinen, T Korpisaari, P Saarinen, J Tampere Univ Technol Digital & Comp Syst Lab FIN-33101 Tampere Finland

ISBN: (纸本)0819436771

The tracking system with Dempster-Shafer attribute association algorithm is studied. The aim of the paper is to study how the different parameters affect to the association accuracy. The results show that the proposed Dempster-Shafer attribute association algorithm is robust for parameter variations and thus for modelling errors. The simulations are done according to synthesized data.

关键词： Detection and tracking algorithms Kinematics Computing systems Modeling Performance modeling Personal digital assistants algorithms Associative arrays Environmental sensing Target recognition

来源：评论

学校读者我要写书评

暂无评论

Decision level data fusion using Bayesian inference

Decision level data fusion using Bayesian inference

引用

Conference on sensor fusion - architectures, algorithms, and applications

作者： Parish, J TRW Inc. (United States)

ISBN: (纸本)081942482X

This paper describes a blackboard system for integrating observations from multiple sensors. Multiple sensors report observations to the blackboard system. The blackboard system correlates the observations to a set of active models, and the models are both temporally limited and also probabilistic. The design is object-oriented to allow for extensions that accommodate new models and sensors. An example application to a grid of sensors is presented

关键词： Bayesian inference blackboard systems data fusion

来源：评论

学校读者我要写书评

暂无评论

Syntax and semantics in knowledge fusion:: a mixed approach

Syntax and semantics in knowledge fusion:: a mixed approach

引用

Conference on sensor fusion - architectures, algorithms, and applications VI

作者： Grégoire, É Univ Artois CRIL F-62307 Lens France

ISBN: (纸本)0819444812

In this paper, a series of knowledge fusion operators are motivated and analyzed. They are defined in a semantic way, although syntactical facets of knowledge are taken into account. More precisely, they rely on a rank-ordering of interpretations that is based on the number of formulas that the interpretations falsify. It is briefly discussed how these operators could be refined, by taking into account various distribution policies of the falsified information among the knowledge sources, syntactical properties of formulas to be fused and forms of integrity constraints preference among literals.

关键词： knowledge fusion knowledge representation

来源：评论

学校读者我要写书评

暂无评论

Multi-sensor fusion using an adaptive multi-hypothesis tracking algorithm

Multi-sensor fusion using an adaptive multi-hypothesis track...

引用

Conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2003

作者： Kester, LJHM TNO Phys & Elect Lab NL-2509 JG The Hague Netherlands

ISBN: (纸本)0819449598

The purpose of a tracking algorithm is to associate data measured by one or more (moving) sensors to moving objects in the environment. The state of these objects that can be estimated with the tracking process depends on the type of data that is provided by these sensors. It is discussed how the tracking algorithm can adapt itself, depending on the provided data, to improve data association. The core of the tracking algorithm,is an extended Kalman filter using multiple hypotheses for contact to track association. Examples of various sensor suites of radars, electro-optic sensors and acoustic sensors are presented.

关键词： sensor fusion tracking data association MHT

来源：评论

学校读者我要写书评

暂无评论

Registration of scenes for the detection of concealed weapons

Registration of scenes for the detection of concealed weapon...

引用

Conference on sensor fusion - architectures, algorithms, and applications iiI

作者： Slamani, MA Varshney, PK Alford, MG Ferris, D Stiefvater Consultants Inc Marcy NY 13403 USA

ISBN: (纸本)0819431931

A number of sensors are being developed for the Concealed Weapon Detection (CWD), and use of the appropriate sensor or combination of sensors will be: very important to the success of such technologies. Assuming that two identical sensors are used to collect data on a target from different angular views, this paper addresses the problem of registration associated with the collected scenes. Theory and application to real data are presented.

关键词： image registration Concealed Weapons Detection A'SCAPE enhancement fusion

来源：评论

学校读者我要写书评

暂无评论

The equivalence of Bayesian multi-sensor information fusion and neural networks

The equivalence of Bayesian multi-sensor information fusion ...

引用

Conference on sensor fusion - architectures, algorithms, and applications V

作者： Aarabi, P Stanford Univ Dept Comp Sci Stanford CA 94305 USA

ISBN: (纸本)0819440809

This paper proposes a Bayesian multi-sensor object localization approach that keeps track of the observability of the sensors in order to maximize the accuracy of the final decision. This is accomplished by adaptively monitoring the mean-square-error of the results of the localization system. Knowledge of this error and the distribution of the system's object localization estimates allow the result of each sensor to be scaled and combined in an optimal Bayesian sense. It is shown that under conditions of normality, the Bayesian sensor fusion approach is directly equivalent to a single layer neural network with a sigmoidal non-linearity. Furthermore, spatial and temporal feedback in the neural networks can be used to compensate for practical difficulties such as the spatial dependencies of adjacent positions. Experimental results using 10 binary microphone arrays yield an order of magnitude improvement in localization error for the proposed approach when compared to previous techniques.

关键词： object localization sensor fusion neural networks sound localization

来源：评论

学校读者我要写书评

暂无评论

STAC: A Comprehensive sensor fusion Model for Scene Characterization

STAC: A Comprehensive Sensor Fusion Model for Scene Characte...

引用

Conference on Multisensor, Multisource Information fusion - architectures, algorithms, and applications

作者： Kira, Zsolt Wagner, Alan R. Kennedy, Chris Zutty, Jason Tuell, Grady Georgia Tech Res Inst Atlanta GA 30332 USA

ISBN: (纸本)9781628416145

We are interested in data fusion strategies for Intelligence, Surveillance, and Reconnaissance (ISR) missions. Advances in theory, algorithms, and computational power have made it possible to extract rich semantic information from a wide variety of sensors, but these advances have raised new challenges in fusing the data. For example, in developing fusion algorithms for moving target identification (MTI) applications, what is the best way to combine image data having different temporal frequencies, and how should we introduce contextual information acquired from monitoring cell phones or from human intelligence? In addressing these questions we have found that existing data fusion models do not readily facilitate comparison of fusion algorithms performing such complex information extraction, so we developed a new model that does. Here, we present the Spatial, Temporal, Algorithm, and Cognition (STAC) model. STAC allows for describing the progression of multi-sensor raw data through increasing levels of abstraction, and provides a way to easily compare fusion strategies. It provides for unambiguous description of how multi-sensor data are combined, the computational algorithms being used, and how scene understanding is ultimately achieved. In this paper, we describe and illustrate the STAC model, and compare it to other existing models.

关键词： multisensor fusion data fusion scene characterization scene understanding

来源：评论

学校读者我要写书评

暂无评论

sensor fusion cognition using belief filtering for tracking and identification

Sensor fusion cognition using belief filtering for tracking ...

引用

Conference on sensor fusion - architectures, algorithms, and applications iiI

作者： Blasch, E Hong, L SNAT AFRL Wright Patterson AFB OH 45433 USA

ISBN: (纸本)0819431931

Humans exhibit remarkable abilities to estimate, filter, predict, and fuse information in target tracking tasks. To improve track quality, we extend previous tracking approaches by investigating human cognitive-level fusion for constraining the set of plausible targets where the number of targets is not known a priori. The target track algorithm predicts a belief in the position and pose for a set of targets and an automatic target recognition algorithm uses the pose estimate to calculate an accumulated target-belief classification confidence measure. The human integrates the target track information and classification confidence measures to determine the number and identification of targets. This paper implements the cognitive belief filtering approach for sensor fusion and resolves target identify through a set-theory approach by determining a plausible set of targets being tracked.

关键词： sensor fusion target recognition classification & identification tracking cognitive belief filter HRR

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58页 << < 4 5 6 7 8 9 10 11 12 13 > >>

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：