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

1,981 篇 会议
92 篇 期刊文献
28 册 图书
5 篇 学位论文

馆藏范围

2,106 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,453 篇 工学
- 941 篇 计算机科学与技术...
- 558 篇 电气工程
- 325 篇 软件工程
- 303 篇 信息与通信工程
- 250 篇 控制科学与工程
- 126 篇 测绘科学与技术
- 111 篇 仪器科学与技术
- 94 篇 航空宇航科学与技...
- 67 篇 机械工程
- 62 篇 电子科学与技术（可...
- 45 篇 光学工程
- 30 篇 生物医学工程（可授...
- 29 篇 土木工程
- 28 篇 建筑学
- 28 篇 交通运输工程
- 26 篇 动力工程及工程热...
- 26 篇 安全科学与工程
- 24 篇 材料科学与工程（可...
- 14 篇 生物工程
- 14 篇 网络空间安全
657 篇 理学
- 466 篇 物理学
- 137 篇 数学
- 56 篇 系统科学
- 48 篇 统计学（可授理学、...
- 22 篇 生物学
- 14 篇 化学
229 篇 医学
- 224 篇 临床医学
130 篇 管理学
- 93 篇 管理科学与工程(可...
- 53 篇 图书情报与档案管...
- 29 篇 工商管理
13 篇 军事学
8 篇 经济学
6 篇 农学
4 篇 法学
4 篇 文学
2 篇 教育学
1 篇 艺术学

主题

400 篇 sensor fusion
176 篇 data fusion
146 篇 wireless sensor ...
118 篇 sensor data fusi...
102 篇 sensors
92 篇 image fusion
83 篇 target tracking
75 篇 information fusi...
71 篇 sensor systems
58 篇 sensor phenomena...
58 篇 signal processin...
53 篇 cameras
52 篇 neural networks
51 篇 clustering algor...
47 篇 monitoring
46 篇 surveillance
46 篇 sensor networks
45 篇 feature extracti...
44 篇 robot sensing sy...
44 篇 image processing

机构

10 篇 syracuse univ de...
6 篇 usn res lab wash...
5 篇 university of ca...
5 篇 penn state univ ...
5 篇 fordham univ rob...
4 篇 univ liverpool d...
4 篇 21st century sys...
4 篇 wright state uni...
4 篇 school of logist...
4 篇 nova res inc ale...
4 篇 drexel univ dept...
3 篇 clemson univ dep...
3 篇 syracuse univ sy...
3 篇 univ porto fac e...
3 篇 villanova univ c...
3 篇 xidian univ sch ...
3 篇 battelle mem ins...
3 篇 naval res lab wa...
3 篇 warsaw univ tech...
3 篇 univ calif los a...

作者

14 篇 blasch erik
11 篇 varshney pk
9 篇 lyons damian m.
9 篇 solaiman b
8 篇 bosse eloi
7 篇 hall david l.
7 篇 hanebeck uwe d.
6 篇 dasarathy bv
6 篇 goebel k
6 篇 dasarathy belur ...
6 篇 aarabi p
5 篇 nicholson d
5 篇 nelson bn
5 篇 llinas j
5 篇 shirkhodaie amir
5 篇 valin pierre
5 篇 graham jacob l.
5 篇 petrovic v
5 篇 rimland jeffrey ...
4 篇 hickman duncan l...

语言

2,018 篇 英文
72 篇 其他
13 篇 中文
3 篇 土耳其文

检索条件"任意字段=Conference on Sensor Fusion - Architectures, Algorithms, and Applications"

共 2106 条记录，以下是1121-1130 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：

Application of the JDL Data fusion Process Model for Cyber Security

Application of the JDL Data Fusion Process Model for Cyber S...

引用

conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2010

作者： Giacobe, Nicklaus A. Penn State Univ Coll Informat Sci & Technol University Pk PA 16802 USA

ISBN: (纸本)9780819481740

A number of cyber security technologies have proposed the use of data fusion to enhance the defensive capabilities of the network and aid in the development of situational awareness for the security analyst. While there have been advances in fusion technologies and the application of fusion in intrusion detection systems (IDSs), in particular, additional progress can be made by gaining a better understanding of a variety of data fusion processes and applying them to the cyber security application domain. This research explores the underlying processes identified in the Joint Directors of Laboratories (JDL) data fusion process model and further describes them in a cyber security context.

关键词： Cyber Security Network Security Data fusion JDL Data fusion Process Model Situational Awareness

来源：评论

学校读者我要写书评

暂无评论

fusion of ESM reports through Dempster-Shafer and Dezert-Smarandache theories

Fusion of ESM reports through Dempster-Shafer and Dezert-Sma...

引用

conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2010

作者： Valin, Pierre Djiknavorian, Pascal Bosse, Eloi Grenier, Dominic R&D Canada Valcartier Decis Support Syst Sect C2 2459 Blvd Pie XI Nord Quebec City PQ G3J 1X5 Canada Univ Laval Dept Genie Electr & Genie Informat Laval G1V 0A6 PQ Canada

ISBN: (纸本)9780819481740

We address the problem of fusing ESM reports by two evidential reasoning schemes, namely Dempster-Shafer theory and Dezert-Smarandache theory. These schemes provide results in different frames of discernment, but are able to fuse realistic ESM data. We discuss their advantages and disadvantages under varying conditions of sensor data certainty and fusion reliability, the latter coming from errors in the association process. A thresholded version of Dempster-Shafer theory is fine-tuned for performance across a wide range of values for certainty and reliability. The results are presented first for typical scenarios, and secondly for Monte-Carlo studies of scenarios under varying sensor certainty and fusion reliability. The results exhibit complex non-linear functions, but for which clear trends can nevertheless be extracted. A compromise has to be achieved between stability under occasional miss-associations, and reaction time latency under a real change of allegiance. The alternative way of reporting results through Dezert-Smarandache theory is studied under similar conditions, and shown to provide good results, which are however more dependent on the unreliability, and slightly less stable. In this case however, the frame of discernment is larger, and permits additional interpretations, which are outside the scope of Dempster-Shafer.

关键词： Evidential reasoning realistic data Dempster-Shafer Dezert-Smarandache

来源：评论

学校读者我要写书评

暂无评论

Level 0-2 fusion model for ATR using fuzzy logic

<i>Level 0</i>-<i>2</i> fusion model for ATR using fuzzy log...

引用

conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2010

作者： Hester, Charles F. Dobson, Kelly K. U.S. Army Aviation and Missile Research Development and Engineering Ctr. United States

ISBN: (纸本)9780819481740

The JDL model for fusion provides a structure for fusion of multispectral data at all levels. Fused data provides improved performance in Automatic Target Recognition (ATR). Critical to the overall fusion performance, however, is the low level(0-2) fusion of sensory and context information. Loss of information must be avoided at this level, but complexity must be reduced. A model is presented that uses fuzzy sets to form entities and capture the information needed for target recognition. Examples using multi-spectral imagery will be presented.

关键词： fuzzy logic ATR level 0-2 fusion JDL model

来源：评论

学校读者我要写书评

暂无评论

Multiple hypothesis tracking of two persons using a network of LIDAR sensors with stationary and directional beams

Multiple hypothesis tracking of two persons using a network ...

引用

conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2010

作者： Wenzl, Konrad Ruser, Heinrich Kargel, Christian Bundeswehr Univ Munich Inst Measurement & Automat Div Sensor Technol & Measurement Syst D-85577 Neubiberg Munich Germany

ISBN: (纸本)9780819481740

A sensor network based on the LIDAR (LIght Detection And Ranging) principle is investigated in order to track persons inside a surveillance area and be able to identify security-relevant behavior. In order to minimize the overall sensor network complexity, power consumption and costs, we recently investigated the network topology based on a quality measure in terms of the number of nodes, measurement distance, width of the LIDAR beams and localization as well as classification performance. As a result, stationary beams with rather small opening angles of up to a few degrees are a good compromise. Since certain regions of the surveillance area are not directly assessed by the LIDAR beams, the accurate tracking of a target throughout the entire area of surveillance is challenging. We demonstrated that tracking based on a Kalman filter approach can nevertheless deliver satisfactory results for a single person inside the surveillance area. In this paper we focus on the task of reliably tracking two persons inside the surveillance area at the same time. The tracking of multiple moving targets is carried out by applying a Multiple Hypothesis Tracking filter approach. The localization and tracking performances are derived from simulations and experiments carried out with commercial laser scanners. In the near future, the rather expensive laser scanners will be replaced by appropriate LIDAR range finders.

关键词： sensor Network Surveillance Multiple Target Tracking Multiple Hypothesis Tracking Kalman Tracking

来源：评论

学校读者我要写书评

暂无评论

Long-duration Fused Feature Learning Aided Tracking

Long-duration Fused Feature Learning Aided Tracking

引用

conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2010

作者： Ivey, Richard Horn, Joel Merkert, Raimund Boston Univ Dept Cognit & Neural Syst 677 Beacon St Boston MA 02215 USA

ISBN: (纸本)9780819481740

Multiple-hypothesis tracking (MHT) algorithms solve the report-to-track association problem(1-5) by accumulating kinematic evidence provided by one or more sensors over time to find likely correlations in the data. MHT technologies have long been applied to such problems as machine vision;automatic target tracking using radar moving target indicator (MTI) for ground, air, sea, and space vehicles;and video-based object tracking. However, relying on kinematic information alone to maintain reliable track in a multi-target scenario is problematic due to a plethora of issues such as sensor limitations, obscuration of the targets, or target/confuser proximity.(6-7) We present our track fusion algorithm, the Long-term Hypothesis Tree (LTHT) that solves the tracklet-to-tracklet association problem by using signature information to repair errors in kinematic tracks. LTHT provides a framework for using arbitrary target signatures such as spectral or shape characteristics to correct errors made by an MHT tracker. The LTHT represents high-level interactions among complex tracks by condensing kinematic track trajectories into a compact representation that can be efficiently maintained over much longer temporal scales than typical MHT trees.

关键词： Information fusion multiple-hypothesis tracking radar tracking machine vision

来源：评论

学校读者我要写书评

暂无评论

Dynamic image fusion and general observer preference

Dynamic image fusion and general observer preference

引用

conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2010

作者： Burks, Stephen D. Doe, Joshua M. USA RDECOM CERDEC Night Vis & Elect Sensors Directorate Ft Belvoir VA 22060 USA

ISBN: (纸本)9780819481740

Recent developments in image fusion give the user community many options for ways of presenting the imagery to an end-user. Individuals at the US Army RDECOM CERDEC Night Vision and Electronic sensors Directorate have developed an electronic system that allows users to quickly and efficiently determine optimal image fusion algorithms and color parameters based upon collected imagery and videos from environments that are typical to observers in a military environment. After performing multiple multi-band data collections in a variety of military-like scenarios, different waveband, fusion algorithm, image post-processing, and color choices are presented to observers as an output of the fusion system. The observer preferences can give guidelines as to how specific scenarios should affect the presentation of fused imagery.

关键词： Image fusion sensors Cameras Image processing Video Image sensors Data fusion Algorithm development Medium wave Environmental sensing

来源：评论

学校读者我要写书评

暂无评论

Using Conceptual Spaces to Fuse Knowledge from Heterogeneous Robot Platforms

Using Conceptual Spaces to Fuse Knowledge from Heterogeneous...

引用

conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2010

作者： Kira, Zsolt Georgia Tech Mobile Robot Lab Atlanta GA 30308 USA

ISBN: (纸本)9780819481740

As robots become more common, it becomes increasingly useful for many applications to use them in teams that sense the world in a distributed manner. In such situations, the robots or a central control center must communicate and fuse information received from multiple sources. A key challenge for this problem is perceptual heterogeneity, where the sensors, perceptual representations, and training instances used by the robots differ dramatically. In this paper, we use Gardenfors' conceptual spaces, a geometric representation with strong roots in cognitive science and psychology, in order to represent the appearance of objects and show how the problem of heterogeneity can be intuitively explored by looking at the situation where multiple robots differ in their conceptual spaces at different levels. To bridge low-level sensory differences, we abstract raw sensory data into properties (such as color or texture categories), represented as Gaussian Mixture Models, and demonstrate that this facilitates both individual learning and the fusion of concepts between robots. Concepts (e.g. objects) are represented as a fuzzy mixture of these properties. We then treat the problem where the conceptual spaces of two robots differ and they only share a subset of these properties. In this case, we use joint interaction and statistical metrics to determine which properties are shared. Finally, we show how conceptual spaces can handle the combination of such missing properties when fusing concepts received from different robots. We demonstrate the fusion of information in real-robot experiments with a Mobile Robots Amigobot and Pioneer 2DX with significantly different cameras and (on one robot) a SICK lidar.

关键词： Conceptual Spaces Cognitive sensor fusion Heterogeneous Robot Teams

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Decision fusion for Single Target Classification in Wireless sensor Networks

Fuzzy Decision Fusion for Single Target Classification in Wi...

引用

2010 IEEE World Congress on Computational Intelligence

作者： Gok, Sercan Yazici, Adnan Cosar, Ahmet George, Roy Sci & Technol Res Council Turkey Ankara Turkey Middle East Tech Univ Dept Comp Engn Ankara Turkey Clark Atlanta Univ Atlanta GA 30314 USA

ISBN: (纸本)9781424469208

With the advances in technology, low cost and low footprint sensors are being used more and more commonly. Especially for military applications wireless sensor networks (WSN) have become an attractive solution as they have great use for avoiding deadly danger in combat. For military applications, classification of a target in a battlefield plays an important role. A wireless sensor node has the ability to sense the raw signal data in battlefield, extract the feature vectors from sensed signal and produce a local classification result using a classifier. Although only one sensor is sufficient to produce a classification result, decision fusion of the local classification results for a number of sensor nodes improves classification accuracy. In our approach, we propose fuzzy decision fusion methods for single target classification in a WSN environment. Our proposed fusion algorithms use fuzzy logic for selecting the most appropriate sensor nodes to be used for classification. Our algorithms provide better classification accuracy over some popular decision fusion algorithms.

关键词： WSN feature vectors footprint sensors fuzzy decision fusion algorithm fuzzy logic image classification military applications military systems raw signal data classification single target classification wireless sensor networks wireless sensor networks wireless sensor node

来源：评论

学校读者我要写书评

暂无评论

Classification of terrain using multi-resolution satellite/aerial imagery and LiDAR data

Classification of terrain using multi-resolution satellite/a...

引用

conference on Multisensor, Multisource Information fusion - architectures, algorithms and applications 2010

作者： Kocher, Brian R. Thomas, Alan M. Georgia Inst Technol Georgia Tech Res Inst Atlanta GA 30332 USA

ISBN: (纸本)9780819481740

High resolution LiDAR data is used to augment spectral data to improve resolution/accuracy. Digital elevation information, texture information, and spectral data are all combined into a single dataset and different clustering algorithms are used on the raster information and compared with clusters of spectral data alone. Long term goals of the work are to find efficient and effective methods of combining different data sets of varying resolution from different sources into a single dataset for analysis to improve data and classification resolution and accuracy.

关键词： image fusion image processing texture multispectral imagery lidar data material classification

来源：评论

学校读者我要写书评

暂无评论

Object-oriented sensor data fusion for wide maritime surveillance

Object-oriented sensor data fusion for wide maritime surveil...

引用

2010 International Waterside Security conference, WSS 2010

作者： Fischer, Yvonne Bauer, Alexander Karlsruhe Germany Karlsruhe Germany

ISBN: (纸本)9781424488940

The objective of maritime surveillance is to reach a level of situation awareness which allows the timely detection and prevention of events threatening maritime security and environment. Due to the heterogeneous mix of platforms and sensor technologies in use today, there is a need for powerful sensor data fusion architectures. This article introduces an object-oriented approach for the fusion of object observations produced by arbitrary heterogeneous sensors. Different scenarios and sensor configurations as well as fusion algorithms can be evaluated by a simulation tool. The benefits of the architecture are highlighted for an illegal immigration scenario.

关键词： sensor data fusion

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211页 << < 109 110 111 112 113 114 115 116 117 118 > >>

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：