2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)最新文献_第5页

Supporting threat evaluation through visual analytics 通过可视化分析支持威胁评估

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-02-01 DOI: 10.1109/COGSIMA.2013.6523840

Anders Dahlbom, Tove Helldin

引用次数: 7

Situation awareness and control errors of cyber weapons 网络武器的态势感知和控制错误

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-02-01 DOI: 10.1109/COGSIMA.2013.6523838

E. Tyugu

引用次数: 1

Spectrum-aware frequency planning for professional wireless microphone systems 专业无线麦克风系统的频谱感知频率规划

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-02-01 DOI: 10.1109/COGSIMA.2013.6523851

Christoph König, M. Bredel, M. Guirao

{"title":"Spectrum-aware frequency planning for professional wireless microphone systems","authors":"Christoph König, M. Bredel, M. Guirao","doi":"10.1109/COGSIMA.2013.6523851","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523851","url":null,"abstract":"In recent years, the increasing spectrum demand of wireless applications had risen the need for an higher spectrum efficiency in general and for Programme Making and Special Events (PMSE) devices in particular. To this end, the cognitive radio paradigm has been proposed to overcome the limitations of static spectrum allocation. A dynamic frequency assignment, however, is quite challenging especially for non-linear analogue radio transmitters, like wireless microphones. In this paper, we motivate the need of a reliable dynamic frequency allocation process for PMSE systems that takes various internal and external constraints, such as intermodulation products and the given spectrum usage, into account. We present a fast algorithm for stochastic frequency planning and compare its performance with that obtained by the state-of-the-art heuristic approach in different interference scenarios. We show that the state-of-the-art approach is particularly well suited for selected interference scenarios. In those scenarios, our stochastic approach can achieve comparable results and even outperform the heuristic with a low probability. In common interference scenarios, our stochastic approach definitely outperform the heuristic, providing a general strategy that can adapt to the given spectrum situation. Finally, we propose an adaptive PMSE frequency planning process that combines the strength of both approaches.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130193223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

An ontology-based Social Network Analysis prototype 基于本体的社会网络分析原型

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-02-01 DOI: 10.1109/COGSIMA.2013.6523839

R. Lecocq, Étienne Martineau, Maria Fernanda Caropreso

{"title":"An ontology-based Social Network Analysis prototype","authors":"R. Lecocq, Étienne Martineau, Maria Fernanda Caropreso","doi":"10.1109/COGSIMA.2013.6523839","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523839","url":null,"abstract":"Many challenges are being faced when attempting to perform meaningful Social Network Analysis (SNA) on covert networks for intelligence purposes. First, data about covert networks are, by definition, difficult to obtain. Information about those networks is well guarded and, in general, not directly accessible. Consequently, intelligence analysts must build their situational awareness based on an overabundance of indirect information and sources which lead to cluttered heterogeneous models of social networks. This challenge actually results in a second concern in SNA, the imperative to manage very large graphs, which leads to the need to sample or select subsets of the overall data set. Finally, in current systems, analyses of social networks seem to be conducted regardless of the intelligence issue being faced or the data context. This facet is critical in order to ensure that the data lying beneath the analysis are actually truly indicators of the intelligence issue being tackled. This paper first describes the SNA capability targeted along with its challenges. Subsequently, explanations and rationales are provided to highlight the critical roles played by ontologies with respect to the challenges described above. In the current prototype, ontologies are being used with respect to four essential aspects of the SNA capability: to automatically identify and extract the social network data of interest; to organize and correlate these social network data based on the context, to create a filter in order to prune only portions of the social network data; and to select appropriate SNA algorithms corresponding to the intelligence issue being faced. Finally, this paper discusses preliminary results from the implementation of these aspects.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121438252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

SKRM: Where security techniques talk to each other SKRM:在这里，安全技术可以相互通信

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-02-01 DOI: 10.1109/cogsima.2013.6523841

Xiaoyan Sun, Jun Dai, Peng Liu

引用次数: 2

Improving decision-making based on visual perception via a collaborative brain-computer interface 通过协同脑机接口改进基于视觉感知的决策

2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) Pub Date : 2013-02-01 DOI: 10.1109/COGSIMA.2013.6523816

R. Poli, C. Cinel, F. Sepulveda, A. Stoica

{"title":"Improving decision-making based on visual perception via a collaborative brain-computer interface","authors":"R. Poli, C. Cinel, F. Sepulveda, A. Stoica","doi":"10.1109/COGSIMA.2013.6523816","DOIUrl":"https://doi.org/10.1109/COGSIMA.2013.6523816","url":null,"abstract":"In the presence of complex stimuli, in the absence of sufficient time to complete the visual parsing of a scene, or when attention is divided, an observer can only take in a subset of the features of a scene, potentially leading to poor decisions. In this paper we look at the possibility of integrating the percepts from multiple non-communicating observers as a means of achieving better joint perception and better decision making. Our approach involves the combination of brain-computer interface (BCI) technology with human behavioural responses. To test our ideas in controlled conditions, we asked observers to perform a simple visual matching task involving the rapid sequential presentation of pairs of visual patterns and the subsequent decision as whether the two patterns in a pair were the same or different. Visual stimuli were presented for insufficient time for the observers to be certain of the decision. The degree of difficulty of the task also depended on the number of matching features between the two patterns. The higher the number, the more difficult the task. We recorded the response times of observers as well as a neural feature which predicts incorrect decisions and, thus, indirectly indicates the confidence of the decisions made by the observers. We then built a composite neuro-behavioural feature which optimally combines these behavioural and neural measures. For group decisions, we tested the use of a majority rule and three further decision rules which weigh the decisions of each observer based on response times and our neural and neuro-behavioural features. Results indicate that the integration of behavioural responses and neural features can significantly improve accuracy when compared with individual performance. Also, within groups of each size, decision rules based on such features outperform the majority rnle.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129674404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22