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Workshops of the 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017

作者： Robertson, Justus Amos-Binks, Adam Young, R. Michael Liquid Narrative Group Department of Computer Science NC State University RaleighNC27695 United States Liquid Narrative Group School of Computing The Entertainment Arts and Engineering Program University of Utah Salt Lake CityUT84112 United States

Strong story interactive narratives (IN) are stories that branch based on participant actions where all branches conform to a set of predefined constraints. However, participants in these systems may create branches where the constraints no longer hold. Strong story experience management, the process of generating IN trees, can be viewed as a game where the experience management agent wins if the story constraints hold during gameplay and loses if they are broken. In domains where the player has incomplete information of the story world, the experience manager can take action by shifting the player between alternate states that are consistent with the player's observations in order to maximize the probability that constraints will hold. This process is called superposition manipulation. In this paper we present a method of estimating the number of goal states reachable from different states in order to make informed decisions during superposition manipulation. Copyright © 2017, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Information management

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Modeling preference time in middle distance triathlons 5

Modeling preference time in middle distance triathlons

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5th International Symposium on Computational and Business Intelligence, ISCBI 2017

作者： Fister, Iztok Iglesias, Andres Deb, Suash Fister, Dusan Faculty of Electrical Engineering and Computer Science University of Maribor Smetanova 17 Maribor2000 Slovenia Faculty of Mechanical Engineering University of Maribor Smetanova 17 Maribor2000 Slovenia IT and Educational Consultant Ranchi Jharkhand India Decision Sciences and Modelling Program Victoria University Melbourne Australia University of Cantabria Avda. de los Castros s/n Santander39005 Spain

ISBN: (纸本)9781538617717

Modeling preference time in triathlons means predicting the intermediate times of particular sports disciplines by a given overall finish time in a specific triathlon course for the athlete with the known personal best result. This is a hard task for athletes and sport trainers due to a lot of different factors that need to be taken into account, e.g., athlete's abilities, health, mental preparations and even their current sports form. So far, this process was calculated manually without any specific software tools or using the artificial intelligence. This paper presents the new solution for modeling preference time in middle distance triathlons based on particle swarm optimization algorithm and archive of existing sports results. Initial results are presented, which suggest the usefulness of proposed approach, while remarks for future improvements and use are also emphasized. © 2017 IEEE.

关键词： Sports

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HyperCode: Voice aided programming

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IFAC-PapersOnLine 2016年第29期49卷 263-268页

作者： Maloku, Rinor S. Pllana, Besart Xh. UBT - Higher Education Institution BSc Program Computer Science and Engineering Kalabria n.n Prishtina10000 Serbia UBT - Higher Education Institution Department of Computer Science and Engineering Kalabria n.n Prishtina10000 Serbia

Existing input methods for inserting text into a digital device are slow and create a steep contrast of information exchange difference between a human and a computer. While programmers are fast at getting information from the computer via the screen, it is a slow process of inserting information via mouse and keyboard. Speech Recognition Software enables inserting continuous text into the computer for increased speed. In this paper, we will present a framework, which makes use of Speech Recognition as another input method for enabling programmers to write code faster and if desired (for people with disabilities) remove reliance on keyboard usage. © 2016

关键词： computer programming Character recognition Continuous speech recognition Digital devices Information exchanges Input methods Inputs People with disabilities Speech recognition softwares

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Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance

Enhancing diffusion MRI measures by integrating grey and whi...

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IEEE International Symposium on Biomedical Imaging

作者： Wen Zhang Jie Shi Jun Yu Liang Zhan Paul M. Thompson Yalin Wang Decision Systems Engineering Arizona State Univ Tempe AZ Computer Engineering Program University of Wisconsin-Stout Menomonie WI Imaging Genetics Center University of Southern California CA

ISBN: (纸本)9781509011735

In order to improve the preclinical diagnose of Alzheimer's disease (AD), there is a great deal of interest in analyzing the AD related brain structural changes with magnetic resonance image (MRI) analyses. As the major features, variation of the structural connectivity and the cortical surface morphometry provide different views of structural changes to determine whether AD is present on presymptomatic patients. However, the large scale tensor-valued information and relatively low imaging resolution in diffusion MRI (dMRI) have created huge challenges for analysis. In this paper, we propose a novel framework that improves dMRI analysis power by fusing cortical surface morphometry features from structural MRI (sMRI). We first compute the hyperbolic harmonic maps between cortical surfaces with the landmark constraints thus to precisely evaluate surface tensor-based morphometry. Meanwhile, the graph-based analysis of structural connectivity derived from dMRI is conducted. Next, we fuse these two features via the optimal mass transportation (OMT) and eventually the Wasserstein distance (WD) based single image index is computed as a potential clinical multimodality imaging score. We apply our framework to brain images of 20 AD patients and 20 matched healthy controls, randomly chosen from the Alzheimer's Disease Neuroimaging Initiative (ADNI2) dataset. Our preliminary experimental results of group classification outperformed those of some other single dMRI-based features, such as regional hippocampal volume, mean scores of fractional anisotropy (FA) and mean axial (MD). The novel image fusion pipeline and simple imaging score of structural changes may benefit the preclinical AD and AD prevention research.

关键词： Brain Harmonic analysis Measurement Magnetic resonance imaging Alzheimer's disease

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A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence Bound Technique

A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence B...

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Brazilian Conference on Intelligent Systems (BRACIS)

作者： Lucas Prestes Myriam Regattieri de Biase da Silva Delgado Richard Aderbal Goncalves Carolina Paula de Almeida Aurora Trinidad Pozo Universidade Tecnologica Federal do Parana Curitiba PR BR Graduate Program in Electrical and Computer Engineering UTFPR Universidade Estadual do Centro-Oeste Guarapuava PR BR Computer Science Department UNICENTRO Computer Science Department UFPR

The Multi-Objective Evolutionary Algorithm based on Decomposition with Dynamical Resource Allocation (MOEA/D-DRA) has obtained very good results on various multi-objective optimization problems in the past few years. This paper focuses on an attempt to improve even more its performance by introducing a hyper-heuristic mechanism to select the best set of its operators and parameters. In this paper we use Upper Confidence Bound (UCB) as the basis of the hyper-heuristic, and test three versions of the proposed approach. Four well known benchmarks (CEC 2009, WFG, DTLZ and ZDT) and a quality indicator (hypervolume) are used to analyze the performance of the three variants. The proposed approach is compared with the original MOEA/D-DRA and the results show that tuning the parameters via UCB is an interesting alternative for a hyper-heuristic based version of MOEA/D-DRA on the addressed problems.

关键词： Optimization Sociology Statistics Evolutionary computation Benchmark testing Resource management Approximation algorithms

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The Discrepancy between The programs and Disaster Management Policy in Klapanunggal District, Bogor, West Java

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IOP Conference Series: Earth and Environmental Science 2018年第1期135卷

作者： D A Puspito Sari I Listiyowati T Nefianto Lasmono Environmental Engineering Program Study Faculty of Engineering and Computer Sciences Universitas Bakrie Indonesia Bogor City Public Health Office Bogor Indonesia Disaster Management for National Security Program Study Faculty of Defense Management Indonesia Defense University Indonesia

Bogor regency consists of 40 districts, 23 are prone tonatural disasters. Klapanunggal district is listed in 10 districts declared as most vulnerable to natural disasters. Natural disasters could lead to loss of property and infrastructure damage and will affect the food security in the region. Food shortages is one example of the condition which causes food insecurity. The aim of this research is to analyze the government's food security strategy in anticipation of disaster with a case study of food insecurity in Klapanunggal district. The analysis suggested that; 1) FSVA is an appropriate program to identify food shortage areas, 2) Food Shortage Relief program (program Penanganan Daerah Rawan Pangan-PDRP) is the optimal efforts in reducing food shortages in the region, 3)The mismatch between FSVA indicators and Food Shortage Relief program makes Klapanunggal district difficult in achievingfree status food-shortage. Based on the analysis, it is suggested that the implementation of Food Shortages Relief program could be carried out based on the priority issues and implemented with integrated coordination and assistance among stakeholders. Such priority issues, integrated coordination and assistance are fully analyzed in this study.

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Nonlocal Metasurfaces for Optical Signal Processing

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Physical Review Letters 2018年第17期121卷 173004-173004页

作者： Hoyeong Kwon Dimitrios Sounas Andrea Cordaro Albert Polman Andrea Alù Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 USA Institute of Physics University of Amsterdam Science Park 904 1098 XH Amsterdam Netherlands Center for Nanophotonics AMOLF Science Park 104 1098 XG Amsterdam Netherlands Photonics Initiative Advanced Science Research Center City University of New York New York New York 10031 USA Physics Program Graduate Center City University of New York New York New York 10016 USA Department of Electrical Engineering City College of The City University of New York New York New York 10031 USA

Optical analog signal processing has been gaining significant attention as a way to overcome the speed and energy limitations of digital techniques. Metasurfaces offer a promising avenue towards this goal due to their efficient manipulation of optical signals over deeply subwavelength volumes. To date, metasurfaces have been proposed to transform signals in the spatial domain, e.g., for beam steering, focusing, or holography, for which angular-dependent responses, or nonlocality, are unwanted features that must be avoided or mitigated. Here, we show that the metasurface nonlocality can be engineered to enable signal manipulation in the momentum domain over an ultrathin platform. We explore nonlocal metasurfaces performing basic mathematical operations, paving the way towards fast and power-efficient ultrathin devices for edge detection and optical image processing.

关键词： Geometrical & wave optics Imaging & optical processing Metamaterials Nanophotonics Photonics Transformation optics

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Applying Standard Independent Verification and Validation (IV&V) Techniques within an Agile Framework: Is there a Compatibility Issue?

Applying Standard Independent Verification and Validation (I...

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International Systems Conference

作者： James B. Dabney James D. Arthur Department of Computer Science Virginia Polytechnic Institute and State University Blacksburg Virginia Systems Engineering Program University of Houston - Clear Lake Houston Texas

ISBN: (纸本)9781509046249

Agile methods have gained wide acceptance over the past several years, to the point that they are now a standard management and execution approach for small-scale software development projects. While conventional Agile methods are not generally applicable to large multi-year and mission-critical systems, Agile hybrids are now being developed (such as SAFe) to exploit the productivity improvements of Agile while retaining the necessary process rigor and coordination needs of these projects. From the perspective of Independent Verification and Validation (IV&V), however, the adoption of these hybrid Agile frameworks is becoming problematic. Hence, we find it prudent to question the compatibility of conventional IV&V techniques with (hybrid) Agile practices. This paper documents our investigation of (a) relevant literature, (b) the modification and adoption of Agile frameworks to accommodate the development of large scale, mission critical systems, and (c) the compatibility of standard IV&V techniques within hybrid Agile development frameworks. Specific to the latter, we found that the IV&V methods employed within a hybrid Agile process can be divided into three groups: (1) early lifecycle IV&V techniques that are fully compatible with the hybrid lifecycles, (2) IV&V techniques that focus on tracing requirements, test objectives, etc. are somewhat incompatible, but can be tailored with a modest effort, and (3) IV&V techniques involving an assessment requiring artifact completeness that are simply not compatible with hybrid Agile processes, e.g., those that assume complete requirement specification early in the development lifecycle.

关键词： Independent Verification and Validation Agile

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Kinetic Monte Carlo simulations of helium cluster nucleation in tungsten with preexisting vacancies

Kinetic Monte Carlo simulations of helium cluster nucleation...

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作者： Yang, Zhangcan Blondel, Sophie Hammond, Karl D. Wirth, Brian D. Huazhong University of Science and Technology Department of Nuclear Engineering and Technology Wuhan430074 China University of Tennessee Department of Nuclear Engineering KnoxvilleTN37996 United States Oak Ridge National Laboratory Computer Sciences and Mathematics Division Oak RidgeTN37831 United States University of Missouri Department of Chemical Engineering ColumbiaMO65211 United States University of Missouri Nuclear Engineering Program ColumbiaMO65211 United States Oak Ridge National Laboratory Nuclear Science and Engineering Dir. Oak RidgeTN37831 United States

The object kinetic Monte Carlo code Kinetic Simulations Of Microstructure Evolution (KSOME) was used to study the subsurface helium clustering behavior in tungsten as a function of temperature, helium implantation rate, and vacancy concentration. The simulations evaluated helium implantation fluxes from 1022 to 1026 m-2 · s-1 at temperatures from 473 to 1473 K for 100-eV helium ions implanted below tungsten surfaces and for vacancy concentrations between 1 and 50 parts per million. Such vacancy concentrations far exceed thermodynamic equilibrium values but are consistent with supersaturated concentrations expected during concurrent, or preexisting, neutron irradiation. The thermodynamics and kinetic parameters to describe helium diffusion and clustering are input to KSOME based on values obtained from atomistic simulation results. These kinetic Monte Carlo results clearly delineate two different regimes of helium cluster nucleation, one dominated by helium self-trapping at high implantation rates and lower temperatures and one where helium-vacancy trapping dominates the helium cluster nucleation at lower implantation rates and higher temperatures. The transition between these regimes has been mapped as a function of implantation rate, temperature, and vacancy concentration and can provide guidance to understand the conditions under which neutron irradiation effects may contribute to subsurface gas nucleation in tungsten plasma-facing components. © 2017 American Nuclear Society.

关键词： Kinetics

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Streaming k-means clustering with fast queries

arXiv

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arXiv 2017年

作者： Zhang, Yu Tangwongsan, Kanat Tirthapura, Srikanta Department of Electrical and Computer Engineering Iowa State University AmesIA50011 United States Compute Science Program Mahidol University International College Thailand Department of Electrical and Computer Engineering Iowa State University AmesIA50011 United States

We present methods for k-means clustering on a stream with a focus on providing fast responses to clustering queries. Compared to the current state-of-the-art, our methods provide substantial improvement in the query time for cluster centers while retaining the desirable properties of provably small approximation error and low space usage. Our algorithms rely on a novel idea of "coreset caching" that systematically reuses coresets (summaries of data) computed for recent queries in answering the current clustering query. We present both theoretical analysis and detailed experiments demonstrating their correctness and efficiency. Copyright © 2017, The Authors. All rights reserved.

关键词： Machine learning

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