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MILCOM, Military Communications Conference

作者： Shahrzad Shirazipourazad Pavel Ghosh Arunabha Sen Computer Science and Engineering Program School of Computing Informatics and Decision System Engineering Arizona State University USA

The U.S. Air Force is currently in the process of building an Airborne Network (AN), where the nodes are a set of heterogeneous, highly mobile, Airborne Networking Platforms (ANPs) - such as satellites, airplanes and unmanned aerial vehicles. Mobility pattern of nodes in a mobile network has significant impact on the coverage and connectivity properties of the network. The level of reliability needed for continuous operation of an AN may be difficult to achieve through a completely infrastructure-less mobile ad hoc networks. In an earlier paper, we proposed an architecture for an AN where a set of ANPs form the backbone of the AN. In this architecture, the ANPs may be viewed as mobile base stations with predictable and well-structured flight paths and the combat aircrafts on a mission as mobile clients. In this paper we consider the AN scenario where a part of the network might not be operational due to enemy attack and/or jamming. We consider faults that are spatially correlated (or region-based), that is faults due to an enemy attack are confined to a region. The goal is to design a robust AN so that no matter which region in the deployment area fails and at what time, the surviving nodes of the network will remain connected and be able to communicate with each other. We propose an algorithm that finds the minimum transmission range necessary to ensure network connectivity irrespective of location of the fault region and the time of the failure.

关键词： Mobile communication Computer architecture Mobile computing Reliability Orbits Aircraft Network topology

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Hierarchical Domain Adaptation for SEMG Signal Classification across Multiple Subjects

Hierarchical Domain Adaptation for SEMG Signal Classificatio...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Rita Chattopadhyay Narayanan C. Krishnan Sethuraman Panchanathan Center for Cognitive Ubiquitous Computing School of Computing Informatics and Decision Systems Engineering Arizona State University Center for Advanced Studies in Adaptive Systems School of Electrical Engineering and Computer Science Washington State University

ISBN: (纸本)9781424441211

Large variations in Surface Electromyogram (SEMG) signal across different subjects make the process of automated signal classification as a generalized tool, challenging. In this paper, we propose a domain adaptation methodology that addresses this challenge. In particular we propose a hierarchical sample selection methodology, that selects samples from multiple training subjects, based on their similarity with the target subject at different levels of granularity. We have validated our framework on SEMG data collected from 8 people during a fatiguing exercise. Comprehensive experiments conducted in the paper demonstrate that the proposed method improves the subject independent classification accuracy by 21% to 23% over the cases without domain adaptation methods and by 14% to 20% over the existing state-of-the-art domain adaptation methods.

关键词： signal classification Domain Hierarchical Fatigue paper

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Beyond connectivity - new metrics to evaluate robustness of networks

Beyond connectivity - new metrics to evaluate robustness of ...

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IEEE Workshop on High Performance Switching and Routing

作者： Sujogya Banerjee Shahrzad Shirazipourazad Pavel Ghosh Arunabha Sen Computer Science and Engineering Program School of Computing Informatics and Decision System Engineering Arizona State University Tempe AZ USA

Robustness or fault-tolerance capability of a network is an important design parameter in both wired and wireless networks. Connectivity of a network is traditionally considered to be the primary metric for evaluation of its fault-tolerance capability. However, connectivity κ(G) (for random faults) or region-based connectivity κ R (G) (for spatially correlated or region-based faults, where the faults are confined to a region R) of a network G, does not provide any information about the network state, (i.e., whether the network is connected or not) once the number of faults exceeds κ(G) or κ R (G). If the number of faults exceeds κ(G) or κ R (G), one would like to know, (i) the number of connected components into which G decomposes, (ii) the size of the largest connected component, (iii) the size of the smallest connected component. In this paper, we introduce a set of new metrics that computes these values. We focus on one particular metric called region-based component decomposition number (RBCDN), that measures the number of connected components in which the network decomposes once all the nodes of a region fail. We study the computational complexity of finding RBCDN of a network. In addition, we study the problem of least cost design of a network with a target value of RBCDN. We show that the optimal design problem is NP-complete and present an approximation algorithm with a performance bound of O(log K + 4log n), where n denotes the number of nodes in the graph and K denotes a target value of RBCDN. We evaluate the performance of our algorithm by comparing it with the performance of the optimal solution. Experimental results demonstrate that our algorithm produces near optimal solution in a fraction of time needed to find an optimal solution.

关键词： Measurement Layout Approximation algorithms Algorithm design and analysis Polynomials Robustness Complexity theory

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cognitive computational models of emotions

Cognitive computational models of emotions

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IEEE International Conference on cognitive informatics

作者： Luis-Felipe Rodríguez Félix Ramos Yingxu Wang Department of Computer Science CINVESTAV Zapopan Jalisco Mexico International Institute of Cognitive Informatics and Cognitive Computing (IICICC) Department of Electrical and Computer Engineering Schulich School of Engineering University of Calgary Calgary AB Canada

Emotions are one of the important unconscious mechanisms that influence human behaviors, attentions, and decision making. The emotion process helps to determine how humans perceive their internal status and needs in order to form consciousness of an individual. Emotions have been studied from multidisciplinary perspectives and covered a wide range of empirical and psychological topics, such as understanding the emotional processes, creating cognitive and computational models of emotions, and applications in computational intelligence. This paper presents a comprehensive survey of cognitive and computational models of emotions resulted from multidisciplinary studies. We concentrate on exploring how cognitive models have served as the theoretical basis of the computational models of emotions. A comparative analysis of current approaches is elaborated with discussions of how recent advances in this area may improve the development of a coherent cognitive Computational Model of Emotions (C 2 MEs), which leads to the machine simulated emotions for cognitive robots and autonomous agent systems in cognitive informatics and cognitive computing.

关键词： Computational modeling Biological system modeling Artificial neural networks Emotion recognition Robots

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BioVLAB-MMIA: A Reconfigurable Cloud computing Environment for microRNA and mRNA Integrated Analysis

BioVLAB-MMIA: A Reconfigurable Cloud Computing Environment f...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Hyungro Lee Youngik Yang Heejoon Chae Seungyoon Nam Donghoon Choi Patanachai Tangchaisin Chathura Herath Suresh Marru Kenneth P. Nephew Sun Kim School of Informatics and Computing Indiana University Bloomington IN USA J Craig Venter Institute San Diego CA USA National Cancer Center Goyang South Korea Supercomputing Center Korea Institute of Science and Technology Information South Korea Medical Sciences Program Indiana University School of Medicine Indiana University Bloomington IN USA School of Computer Science and Engineering Seoul National University Seoul South Korea

MicroRNAs, by regulating the expression of hundreds of target genes, play critical roles in developmental biology and the etiology of numerous diseases, including cancer. As vast amounts of microRNA expression profile data are now publicly available, the integration of those data sets with gene expression profiles represents an extremely active area of life science research. However, the ability to conduct genome wide microRNA-mRNA (gene) integration currently requires sophisticated, high-end informatics tools, significant expertise in bioinformatics and computer science to carry out the complex integration analysis. In addition, increased computing infrastructure capabilities are essential in order to accommodate large data sets. In this study, we have extending BioVLAB cloud workbench to develop an environment for the integrated analysis of microRNA and mRNA expression data, named BioVLAB-MMIA. The workbench facilitates computations on the Amazon EC2 and S3 resources orchestrated by XBaya Workflow Suite. The advantages of BioVLAB-MMIA over the web-based MMIA system include: 1) readily expanded as new computational tools become available; 2) easily modifiable by re-configuring graphic icons in the workflow; 3) on-demand cloud computing resources can be used on an as needed basis; 4) distributed orchestration supports complex and long running workflows asynchronously.

关键词： Bioinformatics Cloud computing Cancer Genomics Educational institutions Diseases Computer architecture

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Energy efficient mapping and voltage islanding for regular NoC under design constraints

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International Journal of High Performance Systems Architecture 2010年第3-4期2卷 132-144页

作者： Ghosh, Pavel Sen, Arunabha Computer Science Program School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ 85281 United States

Computational energy consumption of the processing elements (PEs) of a NoC can be significantly reduced by scaling down their voltage levels. This creates clusters of adjacent PEs operating at the same voltage level, known as voltage islands. Excessive number of voltage islands is undesirable from the physical design perspective and due to the overhead of level shifter energy consumption between adjacent voltage islands. Considering these issues during mapping of the PEs to the NoC routers, can potentially lead to acceptable solutions with reduced overall energy consumption. In this paper, we formulate the mapping problem as an optimisation problem. We present both optimal solution, obtained by solving a mixed integer linear program (MILP), and heuristic solution based on random greedy selection. Experimental results using benchmark and real applications show that the heuristic finds near-optimal solution in almost all cases in a very small fraction of the time required to achieve the optimal solution. Copyright © 2010 Inderscience Enterprises Ltd.

关键词： Network-on-chip

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Power efficient voltage islanding for Systems-on-chip from a floorplanning perspective 10

Power efficient voltage islanding for Systems-on-chip from a...

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Design, Automation and Test in Europe Conference and Exhibition

作者： Pavel Ghosh Arunabha Sen Computer Science and Engineering Program School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ USA

ISBN: (纸本)9783981080162

Power consumption can be significantly reduced in Systems-on-Chip (SoC) by scaling down the voltage levels of the Processing Elements (PEs). The power efficiency of this Voltage Islanding technique comes at the cost of energy and area overhead due to the level shifters between voltage islands. Moreover, from the physical design perspective it is not desirable to have an excessive number of voltage islands on the chip. Considering voltage islanding at an early phase of design as during floorplanning of the PEs can address various of these issues. In this paper, we propose a new cost function for the floorplanning objective different from the traditional floorplanning objective. The new cost function not only includes the overall area requirement, but also incorporates the overall power consumption and the design constraint imposed on the maximum number of voltage islands. We propose a greedy heuristic based on the proposed cost function for the floorplanning of the PEs with several voltage islands. Experimental results using benchmark data study the effect of several parameters on the outcome of the heuristic. It is evident from the results that power consumption can be significantly reduced using our algorithm without significant area overhead. The area obtained from the heuristic is also compared with the optimal, and found to be within 4% of the optimal on average, when area minimization is given the priority.

关键词： Voltage Energy consumption Cost function Power engineering and energy Minimization Very large scale integration Computer science Power engineering computing informatics Systems engineering and theory

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Using tactile rhythm to convey interpersonal distances to individuals who are blind

Using tactile rhythm to convey interpersonal distances to in...

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27th International Conference Extended Abstracts on Human Factors in computing Systems, CHI 2009

作者： McDaniel, Troy Krishna, Sreekar Colbry, Dirk Panchanathan, Sethuraman Department of Computer Science and Engineering Center for Cognitive Ubiquitous Computing School of Computing and Informatics Tempe AZ 85281 United States

ISBN: (纸本)9781605582474

This paper presents a scheme for using tactile rhythms to convey interpersonal distance to individuals who are blind or visually impaired, with the goal of providing access to non-verbal cues during social interactions. A preliminary experiment revealed that subjects could identify the proposed tactile rhythms and found them intuitive for the given application. Future work aims to improve recognition results and increase the number of interpersonal distances conveyed by incorporating temporal change information into the proposed methodology.

关键词： Ergonomics

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Association link network: An incremental semantic data model on organizing web resources

Association link network: An incremental semantic data model...

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15th International Conference on Parallel and Distributed Systems, ICPADS '09

作者： Xu, Zheng Luo, Xiangfeng Lu, Wenjun Digital Content Computing and Cognitive Informatics Group School of Computer Engineering and Science Shanghai University Shanghai 200072 China

ISBN: (纸本)9780769539003

Association Link Network (ALN) is used to establish associated relations among various resources, aiming at extending the hyperlink network World Wide Web to an association-rich network, for effectively supporting Web intelligence activities. Unfortunately, with the increase number of Web resources, the challenge of incremental building of ALN is on how to perform the association weight of the new coming Web resources efficiently and exactly. A naïve way is to compare every pair of data in the existing ALN, thus bearing a O(n 2) time complexity. Given the scale of the Web, it is unrealistic to compute the association weight between the new coming Web data and each data in the existing ALN, respectively. In this paper, a new method based on All-Pairs algorithm for incremental building of ALN is proposed. The experiments and evaluations show that our incremental building method performs a high accuracy. Moreover, the scale-independent property of our method make it more appropriate to be used on the Web. © 2009 IEEE.

关键词： Semantics

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Game-based learning model using fuzzy cognitive map

Game-based learning model using fuzzy cognitive map

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1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09

作者： Luo, Xiangfeng Wei, Xiao Zhang, Jun Digital Content Computing and Cognitive Informatics Group School of Computer Engineering and Science Shanghai University Shanghai 200072 China

ISBN: (纸本)9781605587578

Fuzzy cognitive Map (FCM) can be used to design game-based learning systems because it has the excellent ability of concept representation and reasoning. However, it can not (1) get new knowledge from existing data and (2) correct false transcendental knowledge by itself, which mars the game-based learning ability. This paper utilizes Hebbian learning rule to solve the first problem and uses unbalance degree to solve the second problem. As a result, the improved FCM has the ability of self-learning from both existing data and priori knowledge, and is more suitable for a game-based learning system. Based on the improved FCM, a novel game-based learning model is proposed, including a teacher submodel, a learner submodel and a set of learning mechanisms. The teacher submodel has the standard answers which can be deduced from the improved FCM. The learner submodel is bulit and adjusted according to the teacher's FCM, which reflects the learner's learning process. The learning mechanisms compute the difference between the outputs of the teacher submodel and the learner submodel, and control the whole game learning process according to the difference. Based on the proposed model, an automobile driving learning system is developed to prove the effectiveness of the proposed model. Extensive experimental results demonstrate our model validity in terms of controlling the learning process and the guiding learners learning. Copyright 2009 ACM.

关键词： Learning systems

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