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3rd ACM Int. Symp. on Design and Analysis of Intelligent Vehicular Networks and Applications, DIVANet 2013, Held in Conjunction with the 16th ACM Int. Conf. on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2013

作者： Boukerche, Azzedine Villas, Leandro A. Guidoni, Daniel L. Maia, Guilherme Cunha, Felipe D. Ueyama, Jo Loureiro, Antonio A.F. School of Electrical Engineering and Computer Science University of Ottawa Ottawa ON Canada LRC - Computer Networks Laboratory Institute of Computing University of Campinas Campinas Brazil Computer Science Department Federal University of São Jão Del-Rei São Jão del-Rei Brazil Computer Science Department Federal University of Minas Gerais Belo Horizonte Brazil Institute of Mathematics and Computer Sciences University of São Paulo São Carlos Brazil

ISBN: (纸本)9781450323581

Services such as localization and synchronization are crucial for many applications in Wireless Sensor Networks (WSNs), given that it is commonly required to know the position and global time of the sensor nodes. Nevertheless, these tasks are often carried out after the sensor nodes have been deployed in the sensor location. Given that it is impractical to configure the sensor nodes manually, it is essential to rely on algorithms to overcome the problem of locating and synchronizing the clock of the sensor nodes. Hence, in this study we propose a joint solution for 3D localization and time synchronization in WSNs with the aid of an unmanned aerial vehicle (UAV). The UAV is geared with a GPS device and flies over the area covered by the sensor field where it broadcasts its geographical position. This means that the sensor nodes are able to estimate their geographical position without the need to be fitted with a GPS. By carrying out simulations, we show that our joint solution leads to a smaller number of errors in time-synchronization and localization than is the case with other proposals found in the literature. © 2013 ACM.

关键词： Sensor nodes

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An unsupervised aspect detection model for sentiment analysis of reviews

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18th International Conference on Application of Natural Language to Information Systems, NLDB 2013

作者： Bagheri, Ayoub Saraee, Mohamad De Jong, Franciska Intelligent Database Data Mining and Bioinformatics Lab Electrical and Computer Engineering Department Isfahan University of Technology Isfahan Iran School of Computing Science and Engineering University of Salford Manchester United Kingdom Human Media Interaction University of Twente P.O. Box 217 7500 AE Enschede Netherlands

ISBN: (纸本)9783642388231

With the rapid growth of user-generated content on the internet, sentiment analysis of online reviews has become a hot research topic recently, but due to variety and wide range of products and services, the supervised and domain-specific models are often not practical. As the number of reviews expands, it is essential to develop an efficient sentiment analysis model that is capable of extracting product aspects and determining the sentiments for aspects. In this paper, we propose an unsupervised model for detecting aspects in reviews. In this model, first a generalized method is proposed to learn multi-word aspects. Second, a set of heuristic rules is employed to take into account the influence of an opinion word on detecting the aspect. Third a new metric based on mutual information and aspect frequency is proposed to score aspects with a new bootstrapping iterative algorithm. The presented bootstrapping algorithm works with an unsupervised seed set. Finally two pruning methods based on the relations between aspects in reviews are presented to remove incorrect aspects. The proposed model does not require labeled training data and can be applicable to other languages or domains. We demonstrate the effectiveness of our model on a collection of product reviews dataset, where it outperforms other techniques. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Sentiment analysis

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The eighth AAAI conference on artificial intelligence and interactive digital entertainment

The eighth AAAI conference on artificial intelligence and in...

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作者： Riedl, Mark Sukthankar, Gita Jhala, Arnav Zhu, Jichen Ontanón, Santiago Buro, Michael Churchill, David College of Computing Georgia Institute of Technology Atlanta GA United States Department of Electrical Engineering and Computer Science University of Central Florida Orlando FL United States University of California at Santa Cruz Santa Cruz CA United States Westphal College of Media Arts and Design Drexel University Philadelphia PA United States Department of Computer Science Drexel University Philadelphia PA United States Computing Science Department University of Alberta Edmonton AB Canada

The Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE) was held October 8-12, 2012, at Stanford University in Palo Alto, California. The conference included a research and industry track as well as a demonstration program. The conference featured 16 technical papers, 16 posters, and one demonstration, along with invited speakers, the StarCraft AI Competition, a newly introduced Doctoral Consortium, and five workshops. This report summarizes the activities of the conference. Copyright © 2013, Association for the Advancement of Artificial Intelligence.

关键词： Artificial intelligence

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Mathematical and Numerical Aspects of the Adaptive Fast Multipole Poisson-Boltzmann Solver

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Communications in Computational Physics 2013年第1期13卷 107-128页

作者： Bo Zhang Benzhuo Lu Xiaolin Cheng Jingfang Huang Nikos P.Pitsianis Xiaobai Sun JAndrew McCammon Department of Computer Science Duke UniversityNC 27708USA Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100910China Center for Molecular Biophysics Oak Ridge National LaboratoryTN 37831USA Department of Mathematics University of North CarolinaChapel HillNC 27599USA Department of Electrical and Computer Engineering Aristotle UniversityThessaloniki54124Greece Department of Chemistry&Biochemistry Center for Theoretical Biological PhysicsDepartment of PharmacologyHoward Hughes Medical InstituteUniversity of CaliforniaSan DiegoCA 92093USA

This paper summarizes the mathematical and numerical theories and computational elements of the adaptive fast multipole Poisson-Boltzmann(AFMPB)*** introduce and discuss the following components in order:the Poisson-Boltzmann model,boundary integral equation reformulation,surface mesh generation,the nodepatch discretization approach,Krylov iterative methods,the new version of fast multipole methods(FMMs),and a dynamic prioritization technique for scheduling parallel *** each component,we also remark on feasible approaches for further improvements in efficiency,accuracy and applicability of the AFMPB solver to largescale long-time molecular dynamics *** potential of the solver is demonstrated with preliminary numerical results.

关键词： Biomolecular system electrostatics Poisson-Boltzmann equation fast multipole methods mesh generation directed acyclic graph dynamic prioritization parallelization

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Optical microring resonators in lithium niobate for classical and quantum microwave photonics

Optical microring resonators in lithium niobate for classica...

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IEEE/LEOS International Conference on Optical MEMS

作者： Deng Jun Sajid Hussian Soham Saha Ching Eng Png Mankei Tsang Aaron J. Danner Department of Electrical and Computer Engineering National University of Singapore Singapore Agency for Science Institute of High Performance Computing Singapore

A microring resonator was fabricated in LiNbO 3 substrate by annealed proton exchange (APE) method. Measurement results show that thermal annealing is necessary to improve the performance of the channel waveguides. The measured extinction ratio is approximately 13dB. By making use of Cr film as electrodes, a tunability of 2 pm/V is obtained by applying 150V.

关键词： Optical ring resonators Lithium niobate Annealing Optical device fabrication Electrooptical waveguides

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VisDSI: Locality Aware I/O Solution for Large Scale data Visualization

VisDSI: Locality Aware I/O Solution for Large Scale Data Vis...

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IEEE International Conference on Utility and Cloud computing (UCC)

作者： Willie Ng Yang Yu Yongqing Zhu Jun Wang Samsudin Juniarto Zhixiang Li Jie Chen A*STAR (Agency for Science Technology and Research) Data Storage Institute Singapore Department of Electrical Engineering and Computer Science University of Central Florida USA

The computational science community is approaching petascale level simulations that will produce massive amount of datasets. While the computational power of supercomputers keep increasing, the I/O systems have not kept pace, resulting in a significant performance bottle neck. We propose a solution, VisDSI, to address the problem by 1) using traditional high performance clusters with disks directly attached within each node, 2) deploying a data-intensive distributed file system on the cluster, and 3) developing a POSIX-compatible I/O layer to enable the traditional visualization applications to smoothly port to this new platform as well as to provide a new I/Osemantic of retrieving the data location with respect to the POSIX standards. In particular, VisDSI guarantees the colocated compute and data storage by introducing a scheduling of work assignments to nodes with local copies of needed data. Compared with the original visualization application, our solution runs at least 10 times faster.

关键词： data visualization Libraries Scheduling algorithms Bandwidth Dynamic scheduling Distributed databases XML

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Scheduling of time constrained dual-arm cluster tools with wafer revisiting

Scheduling of time constrained dual-arm cluster tools with w...

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2013 IEEE International Conference on Automation science and engineering, CASE 2013

作者： Qiao, Yan Wu, Naiqi Zhou, Mengchu Department of Industrial Engineering School of Electro-Mechanical Engineering Guangdong University of Technology Guangzhou 510006 China Macau University of Science and Technology China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102-1982 United States

ISBN: (纸本)9781479915156

This work intends to schedule a dual-arm cluster tool for the atomic layer deposition (ALD) process with wafer residency time constraints. ALD is a typical wafer revisiting process. Based on the analysis of system properties, a novel scheduling strategy called modified 1-wafer cyclic scheduling is derived. With this strategy, necessary and sufficient schedulability conditions are established. If schedulable, scheduling algorithms are presented to obtain a feasible and optimal schedule. By the proposed method, a schedule can be found by just simple calculation. An illustrative example is given to show the application of the proposed approach. © 2013 IEEE.

关键词： Atomic layer deposition

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Petri net modeling and one-wafer scheduling of single-arm multi-cluster tools

Petri net modeling and one-wafer scheduling of single-arm mu...

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2013 IEEE International Conference on Automation science and engineering, CASE 2013

作者： Zhu, Qinghua Wu, Naiqi Qiao, Yan Zhou, Mengchu School of Computer Guangdong University of Technology Guangzhou 510006 China Macau University of Science and Technology China Department of Industrial Engineering School of Electro-Mechanical Engineering Guangdong University of Technology Guangzhou 510006 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102-1982 United States

ISBN: (纸本)9781479915156

It is very challenging to schedule a multi-cluster tool for it needs to coordinate the activities of multiple robots. This paper studies one-wafer cyclic scheduling for multi-cluster tools whose bottleneck cluster tool is process-bound. A Petri net model is developed to describe the system. Based on the model, it is shown that, for any multi-cluster tool whose bottleneck cluster tool is process-bound, there is always a one-wafer cyclic schedule. Then, a method is presented to find the minimal cycle time and the optimal one-wafer cyclic schedule. The method requires only simple calculation. An example illustrates the application and effectiveness of the proposed method. © 2013 IEEE.

关键词： Scheduling

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computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants

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Autism research and treatment 2014年第1期2014卷 935686页

作者： Jordan Hashemi Mariano Tepper Thiago Vallin Spina Amy Esler Vassilios Morellas Nikolaos Papanikolopoulos Helen Egger Geraldine Dawson Guillermo Sapiro Department of Electrical and Computer Engineering Duke University Durham NC 27708 USA. Institute of Computing University of Campinas 13083 Campinas SP Brazil. Department of Pediatrics University of Minnesota Minneapolis MN 55455 USA. Department of Computer Science and Engineering University of Minnesota Minneapolis MN 55455 USA. Department of Psychiatry and Behavioral Sciences Duke University Durham NC 22708 USA. Department of Psychiatry and Behavioral Sciences and School of Medicine Duke University Durham NC 27708 USA. Department of Electrical and Computer Engineering Department of Computer Science and Department of Biomedical Engineering Duke University Durham NC 27708 USA.

The early detection of developmental disorders is key to child outcome, allowing interventions to be initiated which promote development and improve prognosis. Research on autism spectrum disorder (ASD) suggests that behavioral signs can be observed late in the first year of life. Many of these studies involve extensive frame-by-frame video observation and analysis of a child's natural behavior. Although nonintrusive, these methods are extremely time-intensive and require a high level of observer training; thus, they are burdensome for clinical and large population research purposes. This work is a first milestone in a long-term project on non-invasive early observation of children in order to aid in risk detection and research of neurodevelopmental disorders. We focus on providing low-cost computer vision tools to measure and identify ASD behavioral signs based on components of the Autism Observation Scale for Infants (AOSI). In particular, we develop algorithms to measure responses to general ASD risk assessment tasks and activities outlined by the AOSI which assess visual attention by tracking facial features. We show results, including comparisons with expert and nonexpert clinicians, which demonstrate that the proposed computer vision tools can capture critical behavioral observations and potentially augment the clinician's behavioral observations obtained from real in-clinic assessments.

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Structural and magnetic properties of Fe2CrSi Heusler Alloy and Tunneling magnetoresistance of its magnetic tunneling junctions

Structural and magnetic properties of Fe2CrSi Heusler Alloy ...

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IEEE International Nanoelectronics Conference (INEC)

作者： Yu-Pu Wang Jin-Jun Qiu Hui Lu Qi-Jia Yap Wen-Hong Wang Gu-Chang Han Duc-The Ngo Kie-Leong Teo Department of Electrical and Computer Engineering Advanced Memory Laboratory National University of Singapore Singapore Data Storage Institute Agency for Science Technology and Research Singapore

We report the magnetic properties, microstructure and surface morphology of epitaxially grown Fe 2 CrSi films. Highly ordered B2 films were obtained by deposition at room temperature followed by annealing at 400°C. Magnetic tunnel junctions using Fe 2 CrSi show a tunnelling magnetoresistance (TMR) of 2.5%. The low TMR is ascribed to the oxidation of Fe 2 CrSi at the interface with MgO. An enhancement of TMR to 8.1% was achieved by inserting a 0.3nm Mg between Fe 2 CrSi and MgO to prevent the oxidation of Fe 2 CrSi.

关键词： Tunneling magnetoresistance Magnetic tunneling Annealing Oxidation Films Temperature measurement Metals

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