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检索条件"任意字段=2021 10th International Conference on Computing and Pattern Recognition"

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Design pattern for Self-Organization Multi-agent Systems Based on Policy

Design Pattern for Self-Organization Multi-agent Systems Bas...

引用

IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Yi Guo Xinjun Mao Cuiyun Hu School of Computer National University of Defense Technology Changsha Hunan China

Self-organization is an important characteristic for multi-agent systems. However developing self-organization multi-agent systems in a repeated and effective way is still a great challenge. It is well known that design patterns are the practice and knowledge about solutions for recurring problems, and reusing design pattern can significantly improve the software development quality and efficiency. On the other hand, current self-organization applications are still lack of effective way to handle the unpredicted environment and changing user requirements. In this paper, we take policy as the basic principle for self-organization multi-agent systems to solve this problem, and propose a policy based design pattern for the self-organization multi-agent systems.

关键词： Organizations Multiagent systems Engines Ontologies Design methodology Humans Economics

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Automatically answering repeated questions based on semantic question patterns

Automatically answering repeated questions based on semantic...

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IEEE international conference on Cognitive Informatics

作者： Tianyong Hao Liu Wenyin Department of Chinese Translation and Linguistics City University of Hong Kong Hong Kong China Department of Computer Science City University of Hong Kong Hong Kong China

An automatic method for answering repeated questions based on semantic question patterns is proposed in this paper. the semantic question pattern used is a generalized representation of a group of questions with both similar structure and relevant semantics. Specifically, it consists of semantic annotations (or constraints) for the variable components in the pattern and hence enhances the semantic representation and greatly reduces the ambiguity of a question instance when asked by a user using such pattern. the proposed method consists of three major steps: structure processing, similar pattern matching and filtering, question similarity evaluation and answer retrieval. Preliminary experiments show that the precision of acquisition of the best answer to a new question can be more than 90% on our testing dataset.

关键词： Semantics pattern matching Databases Testing Filtering Search engines Ontologies

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Monitoring Insiders Activities in Cloud computing Using Rule Based Learning

Monitoring Insiders Activities in Cloud Computing Using Rule...

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IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Md Tanzim Khorshed A. B. M. Shawkat Ali Saleh A. Wasimi School of Information and Communication Technology CQ University QLD Australia

One of the essential but formidable tasks in cloud computing is to detect malicious attacks and their types. A cloud provider's constraints or inability in monitoring its employees, and lack of transparency, may make the detection process even harder. We found these insiders' activities form similar pattern in the monitoring systems as some other cyber attacks because these also uses huge computer resources. In this paper we first provide a brief overview on the importance of monitoring insiders' activities through a literature survey on cloud computing security. then, we observe some of the real life insiders' activities that can be detected from the performance data in a hypervisor and its guest operating systems. Rule based learning is successfully used for identification of these activities in this research. We further observe that some of these insiders' activities can on occasions turn into a malicious insider's attack, and thus, need constant monitoring in the cloud environment.

关键词： Cloud computing Security Monitoring Machine learning Companies Hardware Blogs

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Decreasing SoC Test Power Dissipation and Test Data Volume Based on pattern Recombination

Decreasing SoC Test Power Dissipation and Test Data Volume B...

引用

IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Chunlei Mei Maoxiang Yi Zhifei Shen School of Electronic Science & Applied Physics Hefei University of Technology Hefei China

Ever-growing test data volume and test power dissipation poses significant cost and security challenges in testing core-based system-on-chip (SoC). In this paper, a test pattern recombination technique is proposed to improve test data compression and decrease scan test power dissipation. the proposed technique first analyzes the entropy of a test set, which is used to determine the maximum compression ratio, and then divides the test set into a group of patterns that are used as scan slices for scan test based on multi-scan chains. the probability of the compatibility between the patterns in every vector is calculated, according to which the patterns of each test vector are recombined so that the patterns with high compatible probability are placed closely. Finally, for all the test vectors in a test set, a unified arrangement order for their patterns is determined based on the goal that the test set can be compressed and the scan test power dissipation can be decreased to advantage. the proposed scheme is applied to ISCAS89 test benchmarks and their MinTest test sets are used. the experimental results show that compared to the recently presented scheme, the proposed technique can effectively ensure a high data compression ratio and reduce shift power dissipation during testing.

关键词： Power dissipation Vectors Entropy Testing Test data compression Encoding Integrated circuits

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Estimating probability of failure of a complex system based on partial information about subsystems and components, with potential applications to aircraft maintenance

Estimating probability of failure of a complex system based ...

引用

international Workshop on Soft computing Applications and Knowledge Discovery 2011, SCAKD 2011 - In Conjunction with the 4th international conference on pattern recognition and Machine Intelligence, PReMI 2011

作者： Jacob, Christelle Dubois, Didier Cardoso, Janette Ceberio, Martine Kreinovich, Vladik DMIA Department Campus Supaéro 10 avenue Édouard Belin Toulouse France ADRIA Department 118 Route de Narbonne 31062 Toulouse Cedex 9 France University of Texas at El Paso Computer Science Dept. El Paso TX 79968 United States

In many real-life applications (e.g., in aircraft maintenance), we need to estimate the probability of failure of a complex system (such as an aircraft as a whole or one of its subsystems). Complex systems are usually built with redundancy allowing them to withstand the failure of a small number of components. In this paper, we assume that we know the structure of the system, and, as a result, for each possible set of failed components, we can tell whether this set will lead to a system failure. In some cases, for each component A, we know the probability P(A) of its failure;in other cases, however, we only know the lower and upper bounds P(A) and P¯(A) for this probability. Sometimes, we only have expert estimates for these probabilities, estimates that can be described as fuzzy numbers. Usually, it is assumed that failures of different components are independent events, but sometimes, we know that they are dependent - in which case we usually do not have any specific information about their correlation. Our objective is to use all this information to estimate the probability of failure of the entire the complex system. In this paper, we describe methods for such estimation.

关键词： Large scale systems

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Clustering Structured Data with the SPARE Library

Clustering Structured Data with the SPARE Library

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2011 4th IEEE international conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Guido Del Vescovo Lorenzo Livi Antonello Rizzi Fabio Massimo Frattale Mascioli Department of Information Engineering Electronics and Telecommunications SAPIENZA University of Rome Via Eudossiana 1800184 RomeItaly

ISBN: (纸本)9781612848334

In this paper we propose the SPARE C++ Library as a flexible tool for solving data driven modelling problems,where the domain space is not necessary constrained to be the set of real valued *** possibility to face pattern recognition problems directly on structured domains (multimedia data,strings,graphs) is fundamental to the effective solution of many interesting applications in the field of content based retrieval and Knowledge *** an instance of this particular characteristic of SPARE,we considered a clustering problem defined in the string domain,focusing on the problem of cluster representation in data domains where only a dissimilarity measure can be *** this aim we propose to adopt the MinSOD (Minimum Sum of Distances) defined as the element of a cluster minimizing the sum of dissimilarities from all the other elements in the considered *** the precise computation of the MinSOD have a high computational cost,we propose a suboptimal procedure consisting in computing the representative of the cluster considering only a reduced pool of samples,instead of the whole set of objects in the *** have carried out some tests in order to ascertain the sensitivity of the clustering procedure with respect to the number of samples in the pool used to compute the *** show a good robustness of the proposed *** implementation is available as part of the SPARE library,published as an open source project.

关键词： pattern recognition SPARE Library Template Meta-programming Clustering Strings k-means MinSOD.

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Geomagnetic precursor Z component diurnal variation phase anomaly recognition based on the pattern distance

Geomagnetic precursor Z component diurnal variation phase an...

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10th IEEE international conference on Computer and Information Technology, CIT-2010, 7th IEEE international conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable computing and Communications, ScalCom-2010

作者： Wu, Shaochun Yuan, Tongyu Tang, Yan Zhang, Bofeng Wei, Daming School of Computer Engineering and Science Shanghai University Shanghai China

ISBN: (纸本)9780769541082

Geomagnetic precursor is one of many earthquake precursors, which have better effects on earthquake prediction, while the diurnal variation anomaly of geomagnetic precursor Z component is an important one in short-impending anomalies. Basing on the pattern distance of geomagnetic precursor Z component diurnal variation , this paper proposes an anomaly recognition algorithm which combines the feature of geomagnetic precursor data with time series similarity measure. We validate the effectiveness of the algorithm through the actual data. © 2010 IEEE.

关键词： Earthquakes

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Clustering of Data and Nearest Neighbors Search for pattern recognition with Dimensionality Reduction Using Random Projections

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10th international conference on Artificial Intelligence and Soft computing (ICAISC 2010)

作者： Skubalska-Rafajlowicz, Ewa Wroclaw Univ Technol Inst Comp Engn Control & Robot PL-50370 Wroclaw Poland

ISBN: (纸本)9783642132070

the dimensionality and the amount of data that need to be processed when intensive data streams are classified may occur prohibitively large. the aim of this paper is to analyze Johnson-Linden-strauss type random projections as an approach to dimensionality reduction in pattern classification based on K-nearest neighbors search. We show that in-class data clustering allows us to retain accuracy recognition rates obtained in the original high-dimensional space also after transformation to a lower dimension.

关键词： pattern recognition

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pattern recognition comparative analysis applied to fingerprint indoor mobile sensors localization

Pattern recognition comparative analysis applied to fingerpr...

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作者： Aviles, Jose Vicente Marti Prades, Raul Marin Dpto Ingenieria y Ciencia de los Computadores Universitat Jaume I Castellon Spain Intelligent Robotics Laboratory Universitat Jaume I Castellon Spain

ISBN: (纸本)9780769541082

Location Fingerprinting methods are an alternative to accurate localization of mobile sensors and actuators in indoor environments, which learn a radio map for a given scenario and use this information for recognizing the position of a given node at a particular moment. In fact, when using other conventional methods in complex scenarios that may present irregular geometries and materials, fingerprinting techniques can be a very good alternative. Moreover, although they need a previous training of a knowledge database for each scenario, once this is done the method runs in a quite stable and accurate manner without needing any sophisticated hardware. In this paper we present a comparation between the CC2431 Texas Instruments Location Engine and two pattern recognition methods applied to fingerprinting localization in several indoor scenarios in our university. Results show that this kind of technique is very interesting for known environments such as warehouses, universities and so on. © 2010 IEEE.

关键词： Location

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pattern recognition with Linearly Structured Labels Using Recursive Kernel Estimator

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10th international conference on Artificial Intelligence and Soft computing (ICAISC 2010)

作者： Krzyzak, Adam Rafajlowicz, Ewaryst Concordia Univ Dept Comp Sci & Software Engn Montreal PQ Canada Wroclaw Univ Technol Inst Comp Engn Control Robotics Wroclaw Poland

ISBN: (纸本)9783642132070

We consider pattern recognition problem when classes and their labels are linearly structured (or ordered). We propose the loss function based on the squared differences between the true and the predicted class labels. the optimal Bayes classifier is derived and then estimated by the recursive kernel estimator. Its consistency is established theoretically. Its RBF-like realization of the classifier is also proposed together with a recursive learning algorithm, which is well suited for on-line applications. the proposed approach was tested in real life example involving classification of moving vehicles.

关键词： pattern recognition

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