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IEEE International Conference on Electro-Information Technology

作者： Thomas Yang Yassir Salama John Matyjas Richard Michalak Electrical Computer Software and Systems Engineering Embry-Riddle Aeronautical University Daytona Beach Florida Air Force Research Lab Information Directorate (AFRL/RI) Rome NY

This paper presents a blind multi-user detection technique for multi-antenna quadrature amplitude modulation (QAM) receivers with Inphase/Quadrature phase (I/Q) imbalances. The estimation of multiple users in the presence of I/Q imbalances is performed by Blind Source Separation (BSS) methods. While the complex-valued signal model for multi-antenna QAM receivers does not lend itself to BSS due to the effect of I/Q imbalances, reformulating the signal model to a real-valued equivalent form enables the application of BSS. The proposed method enables multiple users to share the same bandwidth simultaneously in different geographical locations, and avoids the need for the knowledge of the channel state information. In addition, despite of the presence of I/Q imbalances in all receiver branches, the number of antenna required in the receiver is equal to the number of users. Computer simulations are conducted using the popular Fast-ICA (Independent Component Analysis) algorithm, and the simulation results confirmed the effectiveness of the proposed technique.

关键词： Receivers Interference Signal to noise ratio Quadrature amplitude modulation MIMO OFDM Vectors

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FACIAL ACTION UNIT RECOGNITION BY RELATION MODELING FROM BOTH QUALITATIVE KNOWLEDGE AND QUANTITATIVE DATA

FACIAL ACTION UNIT RECOGNITION BY RELATION MODELING FROM BOT...

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IEEE International Conference on Multimedia and Expo Workshops

作者： Zhen Gao Shangfei Wang Chongliang Wu Jun Wang Qiang Ji Key Lab of Computing and Communication Software of Anhui Province School of Computer Science and Technology University of Science and Technology of China Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute

ISBN: (纸本)9781479947164

In this paper, we propose to capture Action Unit (AU) relations existing in both qualitative knowledge and quantitative data through Credal Networks (CN). Each node of the CN represents an AU label, and the links and probability intervals capture the probabilistic dependencies among multiple AUs. The structure of CN is designed based on prior knowledge. The parameters of CN are learned from both knowledge and ground-truth AU labels. The AU preliminary estimations are obtained by an existing image-driven recognition method. With the learned credal network, we infer the true AU labels by combining the relationships among labels with the previous obtained estimations. Experimental results on the CK+ database and MMI database demonstrate that with complete AU labels, our CN model is slightly better than the Bayesian Network (BN) model, demonstrating that credal sets learned from data can capture uncertainty more reliably;With incomplete and error-prone AU annotations, our CN model outperforms the BN model, indicating that credal sets can successfully capture qualitative knowledge.

关键词： Prior knowledge Credal network AU recognition

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Dimensionality Reduction Assisted Tensor Clustering

Dimensionality Reduction Assisted Tensor Clustering

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International Joint Conference on Neural Networks

作者： Yanfeng Sun Junbin Gao Xia Hong Yi Guo Chris J. Harris Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology Beijing University of Technology School of Computing and Mathematics Charles Sturt University School of Systems Engineering University of Reading CSIRO Mathematics Informatics and Statistics Electronics and Computer Science University of Southampton

ISBN: (纸本)9781479914821

This paper is concerned with tensor clustering with the assistance of dimensionality reduction approaches. A class of formulation for tensor clustering is introduced based on tensor Tucker decomposition models. In this formulation, an extra tensor mode is formed by a collection of tensors of the same dimensions and then used to assist a Tucker decomposition in order to achieve data dimensionality reduction. We design two types of clustering models for the tensors: PCA Tensor Clustering model and Non-negative Tensor Clustering model, by utilizing different regularizations. The tensor clustering can thus be solved by the optimization method based on the alternative coordinate scheme. Interestingly, our experiments show that the proposed models yield comparable or even better performance compared to most recent clustering algorithms based on matrix factorization.

关键词： Tensor Tucker Decomposition Tensor Clustering Matrix Factorization Tensor PCA

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An advanced hyper-efficient design to detect random peer-to-peer botnets

Communications in Computer and Information Science

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Communications in Computer and Information Science 2013年 414卷 251-258页

作者： Siddiqui, Isma Farah Faseeh, Nawab Muhammad Lee, Scott Uk-Jin Unar, Mukhtiar Ali Department of Software Engineering Mehran UET Jamshoro Pakistan Software Engg Lab Hanyang University ERICA Campus Hanyang Korea Republic of Sungkyunkwan University Seoul Korea Republic of Department of Computer Science and Engineering Hanyang University Hanyang Korea Republic of Department of Computer Systems Engineering Mehran UET Jamshoro Pakistan

Botnets have become one of the most solemn threats to Internet security. Botnets comprises over a network of infected nodes known as ‘bot’. Bots are controlled by human operators (botmasters). Random nature of Peerto-Peer botnets has influenced sinkhole researchers to compromise over occupation of hunted command and control in a complex manner and due to variable nature of action, they are often good deserters. In this paper, we present a design of an advanced hyper-efficient mechanism which has the ability to pursue Peerto-Peer randomized botnets. It provides capacity to detain targeted sinkholes and identify arbitrary execution of contagion in infected nodes. In the end, method acquires the composition of different cubic formations for proper lookup of random natured Peer-to-Peer botnets. © Springer International Publishing Switzerland 2014.

关键词： Botnet

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Analyzing and handling local bias for calibrating parametric cost estimation models

Analyzing and handling local bias for calibrating parametric...

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作者： Yang, Ye He, Zhimin Mao, Ke Li, Qi Nguyen, Vu Boehm, Barry Valerdi, Ricardo Lab for Internet Software Technology Institute of Software Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Center for Systems and Software Engineering University of Southern California Los Angeles United States Department of Systems and Industrial Engineering University of Arizona Tucson United States

Context Parametric cost estimation models need to be continuously calibrated and improved to assure more accurate software estimates and reflect changing software development contexts. Local calibration by tuning a subset of model parameters is a frequent practice when software organizations adopt parametric estimation models to increase model usability and accuracy. However, there is a lack of understanding about the cumulative effects of such local calibration practices on the evolution of general parametric models over time. Objective This study aims at quantitatively analyzing and effectively handling local bias associated with historical cross-company data, thus improves the usability of cross-company datasets for calibrating and maintaining parametric estimation models. Method We design and conduct three empirical studies to measure, analyze and address local bias in cross-company dataset, including: (1) defining a method for measuring the local bias associated with individual organization data subset in the overall dataset;(2) analyzing the impacts of local bias on the performance of an estimation model;(3) proposing a weighted sampling approach to handle local bias. The studies are conducted on the latest COCOMO II calibration dataset. Results Our results show that the local bias largely exists in cross company dataset, and the local bias negatively impacts the performance of parametric model. The local bias based weighted sampling technique helps reduce negative impacts of local bias on model performance. Conclusion Local bias in cross-company data does harm model calibration and adds noisy factors to model maintenance. The proposed local bias measure offers a means to quantify degree of local bias associated with a cross-company dataset, and assess its influence on parametric model performance. The local bias based weighted sampling technique can be applied to trade-off and mitigate potential risk of significant local bias, which limits the usability of cr

关键词： Parameter estimation

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Trade-offs in social and behavioral modeling in mobile networks

Trade-offs in social and behavioral modeling in mobile netwo...

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6th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2013

作者： Altshuler, Yaniv Fire, Michael Aharony, Nadav Volkovich, Zeev Elovici, Yuval Pentland, Alex MIT Media Lab. United States Deutsche Telekom Lab. Department of Information Systems Engineering Ben-Gurion University Israel Department of Software Engineering Ort Braude College Israel

ISBN: (纸本)9783642372094

Mobile phones are quickly becoming the primary source for social, behavioral, and environmental sensing and data collection. Today's smartphones are equipped with increasingly more sensors and accessible data types that enable the collection of literally dozens of signals related to the phone, its user, and its environment. A great deal of research effort in academia and industry is put into mining this raw data for higher level sense-making, such as understanding user context, inferring social networks, learning individual features, and behavior prediction. In this work we investigate the properties of learning and inferences of real world data collected via mobile phones. In particular, we look at the dynamic learning process over time with various sizes of sampling groups and examine the interplay between these two parameters. We validate our model using extensive simulations carried out using the "Friends and Family" dataset which contains rich data signals gathered from the smartphones of 140 adult members of a young-family residential community for over a year and is one of the most comprehensive mobile phone datasets gathered in academia to date. © 2013 Springer-Verlag.

关键词： Smartphones

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Scrum-based approach for analyzing commonalities and variabilities in software product lines 25

Scrum-based approach for analyzing commonalities and variabi...

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25th International Conference on software engineering and Knowledge engineering, SEKE 2013

作者： Da Silva, Ivonei F. Meira, Silvio R. L. Vale, Tassio De Almeida, Eduardo S. Informatic Center Federal University of Pernambuco Recife Brazil State University of Western Paraná Cascavel Brazil Software Engineering Lab Federal University of Bahia Salvador Brazil for Software and Systems Engineering Federal University of Bahia Salvador Brazil

ISBN: (纸本)1891706330

Management issues (e.g. long iterations, poor feedback, and lack of adaptations) in the early stages of software Product Line (SPL) engineering can foster demotivation and considerable effort, mainly in scenarios with volatile domain, technology, or requirements. On the other hand, Agile software Development (ASD) fosters short iterations, rich feedbacks, and adaptations in single-system development through values, principles, and practices. We believe integrating Scrum practices into SPL early stages to perform commonality and variability analysis can bring a balance between agility and formalism when creating SPL for existing systems. In this paper, we present an outline of our approach to analyze commonality and variability among the existing products based on Scrum practices to deal with issues regarding iteration, feedback, and adaptation. A feasibility study is also discussed describing the application of the approach in the mobile domain. Copyright © 2013 by Knowledge systems Institute Graduate School.

关键词： software design

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Resolving violations in inter-process relationships in business process ecosystems

Resolving violations in inter-process relationships in busin...

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2012 International Conference on Service-Oriented Computing, ICSOC 2012

作者： Kurniawan, Tri Astoto Ghose, Aditya K. Lê, Lam-Son Decision Systems Lab. School of Computer Science and Software Engineering University of Wollongong NSW 2522 Australia University of Brawijaya East Java Indonesia

ISBN: (纸本)9783642378034

In service-based environments, each accessible service relies on business process(es) such that changing these services usually requires changing their supporting process(es). Managing process changes is not trivial due to there may exist complex relationships between processes. Changing a process may lead to further changes to related processes to preserve their relationships. We propose resolution patterns, based on semantic effect analysis, to resolve relationship violations between processes. © Springer-Verlag 2013.

关键词： Semantics

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Integrating heterogeneous variability modeling approaches with invar 13

Integrating heterogeneous variability modeling approaches wi...

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7th International Workshop on Variability Modelling of software-Intensive systems, VaMoS 2013

作者： Dhungana, Deepak Seichter, Dominik Botterweck, Goetz Rabiser, Rick Grünbacher, Paul Benavides, David Galindo, José A. Siemens AG Österreich Corporate Technology Vienna Austria Lero Irish Software Engineering Research Center Limerick Ireland Christian Doppler Lab. for Automated Software Engineering JKU Linz Austria Department of Computer Languages and Systems University of Seville Seville Spain

ISBN: (纸本)9781450315418

There have been several proposals to describe the variability of software product lines by using modeling languages. In larger organizations or projects (e.g., multi product line environments) this can lead to a situation where multiple variability modeling techniques are used simultaneously. Rather than enforcing a single modeling language, we present an integrative infrastructure that provides a unified perspective for users configuring products in such multi product line environments, regardless of the different modeling methods and tools used internally. In this tool demonstration paper, we present a prototypical implementation of our framework based on Web services. So far, the prototype has been used with a feature-based, an OVM-style and a decision-oriented variability modeling approach. © 2013 ACM.

关键词： Web services

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Incremental collaborative filtering based on Mahalanobis distance and fuzzy membership for recommender systems

Incremental collaborative filtering based on Mahalanobis dis...

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作者： Komkhao, Maytiyanin Lu, Jie Li, Zhong Halang, Wolfgang A. Department of Computer Engineering Fernuniversitt in Hagen Hagen Germany Decision Systems and E-Service Intelligence Lab. School of Software University of Technology Sydney Sydney Australia

Recommender systems, as an effective personalization approach, can suggest best-suited items (products or services) to particular users based on their explicit and implicit preferences by applying information filtering technology. Collaborative filtering (CF) method is currently the most popular and widely adopted recommendation approach. It works by collecting user ratings for items in a given domain and by computing the similarity between the profiles of several users in order to recommend items. Current similarity measures and models updated by traditional model-based CF have, however, shortcomings with respect to accuracy of prediction and scalability of recommender systems. To overcome these problems, here an incremental CF algorithm based on the Mahalanobis distance is presented. The algorithm has two phases: the learning phase, in which models of similar users are constructed incrementally, and the prediction phase, in which interested users are clustered by measuring their similarity to existing clusters in a model. To handle confusion of decision making on overlapping clusters, fuzzy sets are employed, and the degree of membership to them is expressed by the Mahalanobis radial basis function. Experimental results demonstrate that the proposed algorithm leads to improved prediction accuracy and prevents the scalability problem in recommendation systems. © 2013 Copyright Taylor and Francis Group, LLC.

关键词： Fuzzy sets

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