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2010 2nd International Workshop on Cognitive Information Processing最新文献

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An electronic warfare meta-model for network centric systems 网络中心系统的电子战元模型
2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604178
Andrea Sindico, Sergio Tortora, Alessandro Chiarini Petrelli, Marco Valerio Fasano
{"title":"An electronic warfare meta-model for network centric systems","authors":"Andrea Sindico, Sergio Tortora, Alessandro Chiarini Petrelli, Marco Valerio Fasano","doi":"10.1109/CIP.2010.5604178","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604178","url":null,"abstract":"In this paper we present a domain meta-model that formally defines the semantic of the entities, and related relationships, involved in an electronic warfare scenario. The presented meta-model can be exploited as common ontology by human and computer based entities involved in a network centric system. The goal is the sharing of a common understanding of the battle-space arena.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115969818","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: 1
The widely linear quaternion recursive least squares filter 广义线性四元数递归最小二乘滤波器
2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604211
C. Jahanchahi, C. C. Took, D. Mandic
{"title":"The widely linear quaternion recursive least squares filter","authors":"C. Jahanchahi, C. C. Took, D. Mandic","doi":"10.1109/CIP.2010.5604211","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604211","url":null,"abstract":"A quaternion valued recursive least squares algorithm for the processing of the generality of quaternion valued random processes (both circular and noncircular) is introduced. This is achieved by extending the widely linear model from the complex domain, and accounting for the specific properties of quaternion algebra. Firstly, the widely linear quaternionic Wiener solution is introduced which uses the ‘augmented’ input and weight vectors and thus makes full use of the available second order information. Next, the widely linear quaternion recursive least squares (WL-QRLS) algorithm is derived and is shown to exhibit enhanced transient and steady state properties as compared to the standard widely linear quaternion least mean square (WL-QLMS). Simulations on real world 3D wind signal support the approach.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125159057","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: 21
QoS support in radio resource sharing with Cournot competition 基于古诺竞争的无线电资源共享中的QoS支持
2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/cip.2010.5604107
Marcin Parzy, H. Bogucka
{"title":"QoS support in radio resource sharing with Cournot competition","authors":"Marcin Parzy, H. Bogucka","doi":"10.1109/cip.2010.5604107","DOIUrl":"https://doi.org/10.1109/cip.2010.5604107","url":null,"abstract":"The paper considers a new method of the Quality of Service (QoS) assurance in opportunistic access to wireless networks using a game theoretic-framework. The perfect full information of the involved links is made known to the central management unit called spectrum broker. Three algorithms of spectrum sharing are proposed. In each algorithm, Cournot oligopoly competition or monopolistic behaviour of the players are considered, and adjustment to the actual available spectrum bandwidth is done to make an efficient use of all available spectrum resources. For the QoS support, spectrum demands are categorized in four traffic classes with special parameters which represent priority classes, the target bit error probability (BEP) and the volume of user demands. The proposed resource sharing algorithms may be used in opportunistic or cognitive wireless networks, and are characterized by low computational complexity.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131922390","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: 8
Estimating the number of signals observed by multiple sensors 估计多个传感器观察到的信号数量
2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604227
M. Chiani, M. Win
{"title":"Estimating the number of signals observed by multiple sensors","authors":"M. Chiani, M. Win","doi":"10.1109/CIP.2010.5604227","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604227","url":null,"abstract":"Inferring the presence of signal sources plays an important role in statistical signal processing and wireless communications networks. In particular, knowing the number of signal sources embedded in noise is of great interest in cognitive radio. We propose a new algorithm for estimating the number of dominant sources observed by multiple sensors in the presence of multipath and corrupted by additive Gaussian noise. Our method is based on the exact distribution of the eigenvalues of the sample covariance matrix for multivariate Gaussian variables. Numerical results show that the new method has excellent performance, and is particularly important for situations with small sample size.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134442249","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: 38
Spectrum crowding and Cognitive Radar 频谱拥挤与认知雷达
2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604203
M. Wicks
{"title":"Spectrum crowding and Cognitive Radar","authors":"M. Wicks","doi":"10.1109/CIP.2010.5604203","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604203","url":null,"abstract":"The ever increasing demand on remote sensing capabilities directly conflicts with the accelerating loss of spectrum allocation. Increased spectral awareness and waveform diversity can be applied to this problem through cognitive processing and control of modern radar. This paper motivates the development of essential technology for this purpose.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124001126","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: 74
A data fusion architecture for an Electronic Warfare multi-sensor suite 一种电子战多传感器数据融合体系结构
2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604174
Sergio Tortora, Andrea Sindico, G. Severino
{"title":"A data fusion architecture for an Electronic Warfare multi-sensor suite","authors":"Sergio Tortora, Andrea Sindico, G. Severino","doi":"10.1109/CIP.2010.5604174","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604174","url":null,"abstract":"In this paper we present an architecture enabling multi-sensor data fusion for Electronic Warfare (EW) systems. The presented approach has been designed to be scalable and open to customizations. It enables data fusion also from sensors of distributed platforms in network centric operations.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"381 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124746066","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: 1
Finding surprising patterns in textual data streams 在文本数据流中发现令人惊讶的模式
2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604085
T. Snowsill, F. Nicart, Marco Stefani, T. D. Bie, N. Cristianini
{"title":"Finding surprising patterns in textual data streams","authors":"T. Snowsill, F. Nicart, Marco Stefani, T. D. Bie, N. Cristianini","doi":"10.1109/CIP.2010.5604085","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604085","url":null,"abstract":"We address the task of detecting surprising patterns in large textual data streams. These can reveal events in the real world when the data streams are generated by online news media, emails, Twitter feeds, movie subtitles, scientific publications, and more. The volume of interest in such text streams often exceeds human capacity for analysis, such that automatic pattern recognition tools are indispensable. In particular, we are interested in surprising changes in the frequency of n-grams of words, or more generally of symbols from an unlimited alphabet size. Despite the exponentially large number of possible n-grams in the size of the alphabet (which is itself unbounded), we show how these can be detected efficiently. To this end, we rely on a data structure known as a generalised suffix tree, which is additionally annotated with a limited amount of statistical information. Crucially, we show how the generalised suffix tree as well as these statistical annotations can efficiently be updated in an on-line fashion.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124732212","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: 32
Bayesian factor analysis using Gaussian mixture sources, with application to separation of the cosmic microwave background 高斯混合源的贝叶斯因子分析，及其在宇宙微波背景分离中的应用
2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604098
Simon P. Wilson, E. Kuruoğlu, Alicia Quirós Carretero
{"title":"Bayesian factor analysis using Gaussian mixture sources, with application to separation of the cosmic microwave background","authors":"Simon P. Wilson, E. Kuruoğlu, Alicia Quirós Carretero","doi":"10.1109/CIP.2010.5604098","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604098","url":null,"abstract":"In this paper a fully Bayesian factor analysis model is developed that assumes a very general model for each factor, namely the Gaussian mixture. We discuss the cases where factors are both independent and dependent. In the statistical literature, factor analysis has been used principally as a dimension reduction technique, with little interest in a priori modelling of the factors, but here the application is source separation where the factors may have a direct interpretation and the usual Gaussian model for a factor may not be appropriate. That is the case for the application that illustrates our work, which is that of identifying different sources of extra-terrestrial microwaves from all-sky images taken at different frequencies. In particular there is interest in separating out the cosmic microwave background (CMB) signal from the other sources.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128850416","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: 1
Software defined RADAR a state of the art 软件定义的雷达是最先进的
2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604241
Thibault Debatty
{"title":"Software defined RADAR a state of the art","authors":"Thibault Debatty","doi":"10.1109/CIP.2010.5604241","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604241","url":null,"abstract":"A software-defined radar is a versatile radar system, where most of the processing, like signal generation, filtering, up-and down conversion etc. is performed by a software. This paper presents a state of the art of software-defined radar technology. It describes the design concept of software-defined radars and the two possible implementations. A global assessment is presented, and the link with the Cognitive Radar is explained.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125281211","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: 51
Emerging neuromorphic computing architectures & enabling hardware for cognitive information processing applications 新兴的神经形态计算架构和支持认知信息处理应用的硬件
2010 2nd International Workshop on Cognitive Information Processing Pub Date : 2010-06-14 DOI: 10.1109/CIP.2010.5604236
R. Pino, G. Genello, Morgan Bishop, Michael J. Moore, R. Linderman
{"title":"Emerging neuromorphic computing architectures & enabling hardware for cognitive information processing applications","authors":"R. Pino, G. Genello, Morgan Bishop, Michael J. Moore, R. Linderman","doi":"10.1109/CIP.2010.5604236","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604236","url":null,"abstract":"The highly cross-disciplinary emerging field of neuromorphic computing architectures for cognitive information processing applications requires knowledge within many research fields: computer architecture, neuroscience, cognitive psychology, cognitive modeling, dynamical systems, belief systems, software, computer engineering, etc. In our effort to develop cognitive systems atop a neuromorphic computing architecture, we explored the issues associated with mapping computing strategies such as the Brain State-in-a-Box and Confabulation within a Cell-BE powered 54 TeraFlops high performance computer Linux cluster. In this work, we seek to understand the underlying mechanisms for emulating neuromorphic-based cognitive process and their computational scaling properties towards human-like cognition and perception.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125327953","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: 9
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