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2015 AAAI Spring Symposium

作者： Aditya, Somak Yang, Yezhou Baral, Chitta Fermuller, Cornelia Aloimonos, Yiannis School of Computing Informatics and Decision Systems Engineering Arizona State University United States Department of Computer Science University of Maryland College Park United States

ISBN: (纸本)9781577357087

In this paper we explore the use of visual common-sense knowledge and other kinds of knowledge (such as domain knowledge, background knowledge, linguistic knowledge) for scene understanding. In particular, we combine visual processing with techniques from natural language understanding (especially semantic parsing), common-sense reasoning and knowledge representation and reasoning to improve visual perception to reason about finer aspects of activities. © Copyright 2015, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Semantics

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Thermodynamics of a time-dependent and dissipative oval billiard: A heat transfer and billiard approach

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Physical Review E 2016年第6期94卷 062211-062211页

作者： Edson D. Leonel Marcus Vinícius Camillo Galia Luiz Antonio Barreiro Diego F. M. Oliveira Center for Complex Networks and Systems Research School of Informatics and Computing Indiana University Bloomington Indiana USA Department of Chemical and Biological Engineering Northwestern University Evanston Illinois 60208 USA and Northwestern Institute on Complex Systems (NICO) Northwestern University Evanston Illinois 60208 USA

We study some statistical properties for the behavior of the average squared velocity—hence the temperature—for an ensemble of classical particles moving in a billiard whose boundary is time dependent. We assume the collisions of the particles with the boundary of the billiard are inelastic, leading the average squared velocity to reach a steady-state dynamics for large enough time. The description of the stationary state is made by using two different approaches: (i) heat transfer motivated by the Fourier law and (ii) billiard dynamics using either numerical simulations and theoretical description.

关键词： Thermodynamics Billiards

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Balancing Frequencies and Fault Detection in the In-Parameter-Order Algorithm

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Journal of Computer Science & Technology 2015年第5期30卷 957-968页

作者：高世伟吕江花杜冰磊 Charles J. Colbourn 马世龙 State Key Laboratory of Software Development Environment Beihang University Beijing 100191 China School of Computing Informaties and Decision Systems Engineering Arizona State University Tempe AZ 85287-8809 U.S.A.

The In-Parameter-Order （IPO） algorithm is a widely used strategy for the construction of software test suites for combinatorial testing （CT） whose goal is to reveal faults triggered by interactions among parameters. Variants of IPO have been shown to produce test suites within reasonable amounts of time that are often not much larger than the smallest test suites known. When an entire test suite is executed, all faults that arise from t-way interactions for some fixed t are surely found. However, when tests are executed one at a time, it is desirable to detect a fault as early as possible so that it can be repaired. The basic IPO strategies of horizontal and vertical growth address test suite size, but not the early detection of faults. In this paper, the growth strategies in IPO are modified to attempt to evenly distribute the values of each parameter across the tests. Together with a reordering strategy that we add, this modification to IPO improves the rate of fault detection dramatically （improved by 31% on average）. Moreover, our modifications always reduce generation time （2 times faster on average） and in some eases also reduce test suite size.

关键词： combinatorial testing IPO test suite generation expected time to fault detection software under test

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A network-based model for predicting hashtag breakouts in twitter 8

A network-based model for predicting hashtag breakouts in tw...

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8th International Conference on Social computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015

作者： Alzahrani, Sultan Alashri, Saud Koppela, Anvesh Reddy Davulcu, Hasan Toroslu, Ismail School of Computing Informatics and Decision Systems Engineering Arizona State University TempeAZ85287 United States Department of Computer Engineering Middle East Technical University Ankara Turkey

ISBN: (纸本)9783319162676

Online information propagates differently on the web, some of which can be viral. In this paper, first we introduce a simple standard deviation sigma levels based Tweet volume breakout definition, then we proceed to determine patterns of re-tweet network measures to predict whether a hashtag volume will breakout or not. We also developed a visualization tool to help trace the evolution of hashtag volumes, their underlying networks and both local and global network measures. We trained a random forest tree classifier to identify effective network measures for predicting hashtag volume breakouts. Our experiments showed that "local" network features, based on a fixed-sized sliding window, have an overall predictive accuracy of 76%, where as, when we incorporate "global" features that utilize all interactions up to the current period, then the overall predictive accuracy of a sliding window based breakout predictor jumps to 83%. © Springer International Publishing Switzerland 2015.

关键词： Forecasting

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A Network Planning and Management Tool for mitigating the impact of spatially correlated failures in infrastructure networks

A Network Planning and Management Tool for mitigating the im...

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International Workshop on Design of Reliable Communication Networks (DRCN)

作者： Arun Das Arunabha Sen Chunming Qiao Nasir Ghani Nathalie Mitton School of Computing Informatics and Decision System Engineering Arizona State University Tempe Arizona USA Department of Computer Science and Engineering SUNY at Buffalo Buffalo NY USA Department of Electrical Engineering University of South Florida Tampa FL USA Inria France

Current practices of fault-tolerant network design ignore the fact that most network infrastructure faults are localized or spatially correlated (i.e., confined to regions). Network operators require new tools to mitigate the impact of such region based faults on their infrastructures. Utilizing the support from the U.S. Department of Defense, and by consolidating a wide range of theories and solutions developed in the last few years, the authors of this paper have developed an advanced Network Planning and Management Tool (NPMT) that facilitates the design and provisioning of robust and resilient networks. The tool provides multi-faceted network design, evaluation and simulation capabilities for network planners. Future extensions of the tool currently being worked upon not only expand the tool's capabilities, but also extend these capabilities to heterogeneous interdependent networks such as communication, power, water and satellite networks.

关键词： Measurement Robustness Network topology Planning Layout Reliability engineering

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Corrigendum to “An FPTAS for the parallel two-stage flowshop problem” [Theoret. Comput. Sci. 657 (2017) 64–72]

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Theoretical Computer Science 2017年 687卷 93-94页

作者： Jianming Dong Jueliang Hu Mikhail Y. Kovalyov Guohui Lin Taibo Luo Weitian Tong Xueshi Wang Yinfeng Xu Department of Mathematics Zhejiang Sci-Tech University Hangzhou Zhejiang 310018 China United Institute of Informatics Problems National Academy of Sciences of Belarus Surganova 6 220012 Minsk Belarus Department of Computing Science University of Alberta Edmonton Alberta T6G 2E8 Canada Business School Sichuan University Chengdu Sichuan 610065 China Department of Computer Sciences Georgia Southern University Statesboro GA 30458 USA State Key Lab for Manufacturing Systems Engineering Xi'an Shaanxi 710049 China

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Visual and persistence behavior modeling for DEVS in CoSMoS

Visual and persistence behavior modeling for DEVS in CoSMoS

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Symposium on Theory of Modeling and Simulation - DEVS Integrative M and S Symposium, DEVS 2015, Part of the 2015 Spring Simulation Multi-Conference, SpringSim 2015

作者： Fard, Mostafa D. Sarjoughian, Hessam S. School of Electrical and Computer Engineering University of Tehran Tehran Iran Arizona Center for Integrative Modeling and Simulation School of Computing Informatics and Decision Systems Engineering Arizona State University TempeAZ United States

ISBN: (纸本)9781510810600

An integrated visual modeling and simulation tool called Component-based System Modeling and Simulation (CoSMoS) is extended to support behavioral specification of parallel atomic DEVS model. An approach based on Statecharts and Graphical Modeling Framework has been developed and implemented for specifying behaviors of atomic models. One or more Statecharts can be developed for any atomic model and stored in a relational database. The behavioral modeling complements atomic and coupled DEVS structural modeling where families of models with semi-automated code generated for the DEVS-Suite simulator are systematically stored and retrieve. The behavioral modeling enriches visual development of models that have DEVS-compliant specifications with modular, component-based visual representations. The visual representation of hierarchal coupled models are automatically generated or restored. An example model is employed to show the degree of details supported both in visual representation and database representation. Current and future works are briefly described. © 2015 Society for Modeling & Simulation International (SCS).

关键词： Specifications

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A Software-Defined Architecture for Next-Generation Cellular Networks

A Software-Defined Architecture for Next-Generation Cellular...

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Ad-Hoc and Sensor Networks Symposium

作者： Vassilios G. Vassilakis Ioannis D. Moscholios Bander A. Alzahrani Michael D. Logothetis School of Computing Engineering & Mathematics University of Brighton Dept. of Informatics & Telecommunications University of Peloponnese Information Systems Department King Abdulaziz University Dept. of Electrical & Computer Engineering University of Patras

ISBN: (纸本)9781479966653

In the recent years, mobile cellular networks are undergoing fundamental changes and many established concepts are being revisited. New emerging paradigms, such as Software-Defined Networking (SDN), Mobile Cloud computing (MCC), Network Function Virtualization (NFV), Internet of Things (IoT), and Mobile Social Networking (MSN), bring challenges in the design of cellular networks architectures. Current Long-Term Evolution (LTE) networks are not able to accommodate these new trends in a scalable and efficient way. In this paper, first we discuss the limitations of the current LTE architecture. Second, driven by the new communication needs and by the advances in aforementioned areas, we propose a new architecture for next-generation cellular networks. Some of its characteristics include support for distributed content routing, Heterogeneous Networks (HetNets) and multiple Radio Access Technologies (RATs). Finally, we present simulation results which show that significant backhaul traffic savings can be achieved by implementing caching and routing functions at the network edge.

关键词： Software-defined networking Network function virtualization Cellular network architecture

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Fault-Diagnosis for Reciprocating Compressors Using Big Data

Fault-Diagnosis for Reciprocating Compressors Using Big Data

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IEEE International Conference on Big Data computing Service and Applications (BigDataService)

作者： Keerqinhu Guanqiu Qi Wei-Tek Tsai Yi Hong Wenxiang Wang Guangxin Hou Zhiqin Zhu Research Center of China National Offshore Oil Corporation Beijing China School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ USA State Key Laboratory of Software Development Environment Beihang University Beijing China College of Automation Chongqing University Chongqing China

Reciprocating compressors are widely used in the petroleum industry, and a small fault in reciprocating compressors may cause serious issues in operation. Monitoring and detecting potential faults help compressors to continue normal operation. This paper proposes a fault-diagnosis system for compressors using machine-learning techniques to detect potential faults. The system has been evaluated using 100TB operation data collected from China National Offshore Oil Corporation, and the data are first de-noised, coded, and then SVM classification is applied, with 50% of data used for training, the remaining for testing. The results demonstrated that the system can efficiently diagnose potential faults in compressors with 80% accuracy.

关键词： Compressors Fault diagnosis Data analysis Support vector machines Servers Testing Sparse matrices

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Region-based fault-tolerant distributed file storage system design in networks

Region-based fault-tolerant distributed file storage system ...

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作者： Sen, Arunabha Mazumder, Anisha Banerjee, Sujogya Das, Arun Zhou, Chenyang Shirazipourazad, Shahrzad Computer Science and Engineering Program School of Computing Informatics and Decision System Engineering Arizona State University TempeAZ85287 United States

Distributed storage of data files in different nodes of a network enhances its fault tolerance capability by offering protection against node and link failures. Reliability is often achieved through redundancy in one of the following two ways: (i) storage of multiple copies of the entire file at different locations (nodes) or (ii) storage of file segments (not entire files) at different node locations. In the (N, K) file distribution scheme, N file segments from a file F are created in such a way that it is possible to reconstruct the entire file, just by accessing any K ≤ N segments. For the reconstruction scheme to work, it is essential that the K segments of the file are stored in nodes that are connected in the network. However, in the event of node/link failures, the network might become disconnected (i.e., split into several connected components). We focus on node failures that are spatially correlated or region based. Such failures are often encountered in disaster situations or natural calamities where only the nodes in the disaster zone are affected. The first goal of this research is to design a least cost file storage scheme to ensure that no matter which region is destroyed;resulting in fragmentation of the network, a largest connected component of the residual network will have enough file segments with which to reconstruct the entire file. In case the least cost to ensure this objective is within the allocated budget, the storage design will be all region fault-tolerant (ARFT). In case the least cost exceeds the allocated budget, design of an ARFT file storage system design is impossible. The second goal of this research is to design file storage schemes that will be maximum region fault-tolerant within the allocated budget. The third goal of this research is to investigate the impact of the coding parameters N and K on storage requirements for ensuring all region or \textit{maximum region} fault-tolerant design. We provide maximum region fault-toleran

关键词： Approximation algorithms

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