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检索条件"任意字段=Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007"

共 282 条记录，以下是191-200 订阅

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Measuring Situational Awareness and resolving inherent high-level fusion obstacles

Measuring Situational Awareness and resolving inherent high-...

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Conference on multisensor, multisource information fusion

作者： Sudit, Moises Stotz, Adam Holender, Michael Tagliaferri, William Canarelli, Kathie SUNY Coll Buffalo Ctr Multisource Informat Fus Buffalo NY 14062 USA CUBRC Buffalo NY 14221 USA Alion Sci & Technol Rome 13440 NY USA

ISBN: (纸本)0819462985

information fusion Engine for Real-time Decision Making (INFERD) is a tool that was developed to supplement current graph matching techniques in information fusion models. Based on sensory data and a priori models, INFERD dynamically generates, evolves, and evaluates hypothesis on the current state of the environment. The a priori models developed are hierarchical in nature lending them to a multi-level information fusion process whose primary output provides a situational awareness of the environment of interest in the context of the models running. In this paper we look at INFERD's multi-level fusion approach and provide insight on the inherent problems such as fragmentation in the approach and the research being undertaken to mitigate those deficiencies. Due to the large variance of data in disparate environments, the awareness of situations in those environments can be drastically different. To accommodate this, the INFERD framework provides support for plug-and-play fusion modules which can be developed specifically for domains of interest. However, because the models running in INFERD are graph based, some default measurements can be provided and will be discussed in the paper. Among these are a Depth measurement to determine how much danger is presented by the action taking place, a Breadth measurement to gain information regarding the scale of an attack that is currently happening, and finally a Reliability measure to tell the user the credibility of a particular hypothesis. All of these results will be demonstrated in the Cyber domain where recent research has shown to be an area that is well-defined and bounded, so that new models and algorithms can be developed and evaluated.

关键词： graphs defragmentation real-time decision-making Situational Awareness

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Combining elements of information fusion and knowledge-based systems to support situation analysis

Combining elements of information fusion and knowledge-based...

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Conference on multisensor, multisource information fusion

作者： Roy, Jean Def R&D Canada Valcartier Val Belair PQ G3J 1X5 Canada

ISBN: (纸本)0819462985

Situation awareness has emerged as an important concept in military and public security environments. Situation analysis is defined as a process, the examination of a situation, its elements, and their relations, to provide and maintain a product, i.e., a state of situation awareness for the decision maker(s). It is well established that information fusion, defined as the process of utilizing one or more information sources over time to assemble a representation of aspects of interest in an environment, is a key enabler to meeting the demanding requirements of situation analysis. However, although information fusion is important, developing and adopting a knowledge-centric view of situation analysis should provide a more holistic perspective of this process. This is based on the notion that awareness ultimately has to do with having knowledge of something. Moreover, not all of the situation elements and relationships of interest are directly observable. Those aspects of interest that cannot be observed must be inferred, i.e., derived as a conclusion from facts or premises, or by reasoning from evidence. This paper discusses aspects of knowledge, and how it can be acquired from experts, formally represented and stored in knowledge bases to be exploited by computer programs, and validated. Knowledge engineering is reviewed, with emphasis given to cognitive and ontological engineering. Facets of reasoning are discussed, along with inferencing methods that can be used in computer applications. Finally, combining elements of information fusion and knowledge-based systems, an overall approach and framework for the building of situation analysis support systems is presented.

关键词： situation analysis situation awareness information fusion knowledge-based systems knowledge engineering

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Rule based situation assessment for sea-surveillance

Rule based situation assessment for sea-surveillance

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Conference on multisensor, multisource information fusion

作者： Edlund, Johan Gronkvist, Magnus Lingvall, Andreas Sviestins, Egils Saab AB Nettovagen 6 S-17588 Jarfalla Sweden

ISBN: (纸本)0819462985

In order to achieve greater situation awareness it is necessary to identify relations between individual entities and their immediate surroundings, neighboring entities and important landmarks. The idea is that long-term intentions and situations can be identified by patterns of more rudimentary behavior, in essence situations formed by combinations of different basic relationships. In this paper we present a rule based situation assessment system that utilizes both COTS and in-house software. It is built upon an agent framework that speeds up development times, since it takes care of many of the infrastructural. issues of such a communication intense application as this is, and a rule based reasoner that can reason about situations that develop over time. The situation assessment system is developed to be simple, but structurally close to an operational system, with connections to outside data sources and graphical editors and data displays. It is developed with a specific simple Sea-surveillance scenario in mind, which we also present, but the ideas behind the system are general and are valid for other areas as well.

关键词： Databases Surveillance Computing systems Data fusion Software Data conversion Data modeling Detection and tracking algorithms Transform theory Visualization

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TANDI: Threat assessment of network data and information

TANDI: Threat assessment of network data and information

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Conference on multisensor, multisource information fusion

作者： Holsopple, Jared Yang, Shanchieh Jay Sudit, Moises Rochester Inst Technol 83 Lomb Mem Dr Rochester NY 14623 USA

ISBN: (纸本)0819462985

Current practice for combating cyber attacks typically use Intrusion Detection Sensors (IDSs) to passively detect and block multi-stage attacks. This work leverages Level-2 fusion that correlates IDS alerts belonging to the same attacker, and proposes a threat assessment algorithm to predict potential future attacker actions. The algorithm, TANDI, reduces the problem complexity by separating the models of the attacker's capability and opportunity, and fuse the two to determine the attacker's intent. Unlike traditional Bayesian-based approaches, which require assigning a large number of edge probabilities, the proposed Level-3 fusion procedure uses only 4 parameters. TANDI has been implemented and tested with randomly created attack sequences. The results demonstrate that TANDI predicts future attack actions accurately as long as the attack is not part of a coordinated attack and contains no insider threats. In the presence of abnormal attack events, TANDI will alarm the network analyst for further analysis. The attempt to evaluate a threat assessment algorithm via simulation is the first in the literature, and shall open up a new avenue in the area of high level fusion.

关键词： information fusion threat assessment impact assessment cyber attacks

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A preprocessing and automated algorithm selection system for image registration

A preprocessing and automated algorithm selection system for...

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Conference on multisensor, multisource information fusion

作者： Drozd, A. L. Blackburn, A. C. Kasperovich, I. P. Varshney, P. K. Xu, M. Kumar, B. Syracuse Univ Syracuse NY 13244 USA

ISBN: (纸本)0819462985

Image registration is a technique for precisely aligning the content of two or more images. It is often used as a preprocessing stage for further analysis, such as automatic target recognition, change detection, and environmental remote sensing. However, there are many different registration algorithms available to the image analyst, and it's difficult to know which one is the best one to use for a particular pair of images. These various algorithms also have a multitude of settings and parameters that must be given proper values for best results. Consequently, it is often difficult to know which algorithm will perform the best in a given situation, under constraints of time or accuracy. We propose constructing an expert system, with rules based on experimental results, that will automatically select the appropriate registration algorithm and perform appropriate preprocessing steps to prepare the images for registration.

关键词： image registration data fusion image processing expert systems

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Fusing terrain and goals: agent control in urban environments

Fusing terrain and goals: agent control in urban environment...

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Conference on multisensor, multisource information fusion

作者： Kaptan, Varol Gelenbe, Erol Univ London Imperial Coll Sci Technol & Med Exhibit Rd London SW7 2BT England

ISBN: (纸本)0819462985

The changing face of contemporary military conflicts has forced a major shift of focus in tactical planning and evaluation from the classical Cold War battlefield to an asymmetric guerrilla-type warfare in densely populated urban areas. The new arena of conflict presents unique operational difficulties due to factors like complex mobility restrictions and the necessity to preserve civilian lives and infrastructure. In this paper we present a novel method for autonomous agent control in an urban environment. Our approach is based on fusing terrain information and agent goals for the purpose of transforming the problem of navigation in a complex environment with many obstacles into the easier problem of navigation in a virtual obstacle-free space. The main advantage of our approach is its ability to act as an adapter layer for a number of efficient agent control techniques which normally show poor performance when applied to an environment with many complex obstacles. Because of the very low computational and space complexity at runtime, our method is also particularly well suited for simulation or control of a huge number of agents (military as well as civilian) in a complex urban environment where traditional path-planning may be too expensive or where a just-in-time decision with hard real-time constraints is required.

关键词： information fusion navigation autonomous agents urban terrain

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A novel image fusion algorithm based on human vision system

A novel image fusion algorithm based on human vision system

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Conference on multisensor, multisource information fusion

作者： Miao Qiguang Wang Baoshu Xidian Univ Sch Comp Sci Xian 710071 Peoples R China Guilin Univ Electron Technol Guilin 541004 Peoples R China

ISBN: (纸本)0819462985

The proposed new fusion algorithm is based on the improved pulse coupled neural network(PCNN) model, the fundamental characteristics of images and the properties of human vision system. Compared with the traditional algorithm where the linking strength of each neuron is the same and its value is chosen through experimentation, this algorithm uses the contrast of each pixel as its value, so that the linking strength of each pixel can be chosen adaptively. After the processing of PCNN with the adaptive linking strength, new fire mapping images are obtained for each image taking part in the fusion. The clear objects of each original image are decided by the compare-selection operator with the fire mapping images pixel by pixel and then all of them are merged into a new clear image. Furthermore, by this algorithm, other parameters, for example, Delta, the threshold adjusting constant, only have a slight effect on the new fused image. It therefore overcomes the difficulty in adjusting parameters in PCNN. Experiments show that the proposed algorithm works better in preserving the edge and texture information than the wavelet transform method and the Laplacian pyramid method do image fusion.

关键词： image fusion pulse-coupled neural network(PCNN) human vision system contrast linking strength fire mapping image

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Prediction of adverse outcomes of Acute Coronary Syndrome using intelligent fusion of triage information with HUMINT

Prediction of adverse outcomes of Acute Coronary Syndrome us...

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Conference on multisensor, multisource information fusion

作者： McCullough, Claire L. Novobilski, Andrew J. Fesmire, Francis M. Univ Tennessee 615 McCallie Ave Chattanooga TN 37403 USA UT Coll Med Erlanger Heart Stroke Ctr Chattanooga TN 37403 USA

ISBN: (纸本)0819462985

Faculty from the University of Tennessee at Chattanooga and the University of Tennessee College of Medicine, Chattanooga Unit, have used data mining techniques and neural networks to examine a set of fourteen features, data items, and HUMINT assessments for 2,148 emergency room patients with symptoms possibly indicative of Acute Coronary Syndrome. Specifically, the authors have generated Bayesian networks describing linkages and causality in the data, and have compared them with neural networks. The data includes objective information routinely collected during triage and the physician's initial case assessment, a HUMINT appraisal. Both the neural network and the Bayesian network were used to fuse the disparate types of information with the goal of forecasting thirty-day adverse patient outcome. This paper presents details of the methods of data fusion including both the data mining techniques and the neural network. Results are compared using Receiver Operating Characteristic curves describing the outcomes of both methods, both using only objective features and including the subjective physician's assessment. While preliminary, the results of this continuing study are significant both from the perspective of potential use of the intelligent fusion of biomedical informatics to aid the physician in prescribing treatment necessary to prevent serious adverse outcome from ACS and as a model of fusion of objective data with subjective HUMINT assessment. Possible future work includes extension of successfully demonstrated intelligent fusion methods to other medical applications, and use of decision level fusion to combine results from data mining and neural net approaches for even more accurate outcome prediction.

关键词： data mining neural networks Bayesian networks data fusion biomedical informatics

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Feature extraction and fusion for protein structure identification in cryo-electron microscopic images using Independent Component Analysis and the Projection-Slice Synthetic Filter

Feature extraction and fusion for protein structure identifi...

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Conference on multisensor, multisource information fusion

作者： Riasati, Vahid R. Braunreiter, Dennis Sci Applicat Int Corp 10260 Campus Point Dr San Diego CA 92121 USA

ISBN: (纸本)0819462985

In this paper we utilize the Projection-Slice Synthetic Discriminant Function Filters, PSDF, in concert with an Independent Component Analysis technique to simultaneously reduce the data set that represents each of the training images and to emphasize subtle differences in each of the training images. These differences are encoded into the PSDF in order to improve the filter sensitivity for the recognition and identification of protein images formed from a cryo-electron microscopic imaging process. The PSDF and Independent Component Analysis provide a premise not only for the identification of the class of structures under consideration, but also for detecting the orientation of the structures in these images. The protein structures found in cryo-electron microscopic imaging represent a class of objects that have low resolution and contrast and subtle variation. This poses a challenge in design of filters to recognize these structures due to false targets that often have similar characteristics as the protein structures. The incorporation of a component analysis and eigen values conditioning in forming the filter provides an enhanced approach of de-correlating images prior to their incorporation into the filter. We present our method of filter synthesis and the results of the application of this modified filter to a protein structure recognition problem.

关键词： Independent Component Analysis Projection-Slice Synthetic Discriminant Functions

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Fuselets - An agent based architecture for fusion of heterogeneous information and data

Fuselets - An agent based architecture for fusion of heterog...

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Conference on multisensor, multisource information fusion

作者： Beyerer, Juergen Heizmann, Michael Sander, Jennifer Fraunhofer IITB Inst Informat & Datenverarbeitung Fraunhoferstr 1 D-76131 Karlsruhe Germany

ISBN: (纸本)0819462985

A new architecture for fusing information and data from heterogeneous sources is proposed. The approach takes criminalistics as a model. In analogy to the work of detectives, who investigate crimes, software agents are instantiated that pursue clues and try to consolidate or to dismiss hypotheses. Like their human pendants, they can, if questions beyond their competencies arise, consult expert agents. Within the context of a certain task, region, and time interval, specialized operations are applied to each relevant information source, e. g. IMINT, SIGINT, ACINT,..., HUMINT*, databases etc. in order to establish hit lists of first clues. Each clue is described by its pertinent facts, uncertainties, and dependencies in form of a local degree-of-belief (DoB) distribution dagger in a Bayesian sense. For each clue, an agent is instantiated which cooperates with other agents and experts. Expert agents support the use of different information sources. Consultation of experts capable of accessing certain information sources results in changes of the DoB of the pertinent clue. According to the significance of concentration of their DoB distribution, clues are abandoned or pursued further to formulate task specific hypotheses. Communication between the agents serves to find out whether different clues belong to the same cause and thus can be combined. At the end of the investigation process, the different hypotheses are evaluated by a jury and a final report is created that constitutes the fusion result. The approach proposed avoids calculating global DoB distributions by adopting a local Bayesian approximation and thus reduces the complexity of the problem essentially. Different information sources are transformed into DoB distributions using the maximum entropy paradigm and considering known facts as constraints. Nominal, ordinal, and cardinal quantities can be treated within this framework equally. The architecture is scalable by tailoring the number of agents according t

关键词： heterogeneous information sources Bayesian fusion agent technology criminalistics local Bayesian approach artificial intelligence man machine interaction representation of uncertainty

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