51 research outputs found

    Virtual Reality Games for Motor Rehabilitation

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    This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion

    Hybrid meta-heuristics for combinatorial optimization

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    Combinatorial optimization problems arise, in many forms, in vari- ous aspects of everyday life. Nowadays, a lot of services are driven by optimization algorithms, enabling us to make the best use of the available resources while guaranteeing a level of service. Ex- amples of such services are public transportation, goods delivery, university time-tabling, and patient scheduling. Thanks also to the open data movement, a lot of usage data about public and private services is accessible today, sometimes in aggregate form, to everyone. Examples of such data are traffic information (Google), bike sharing systems usage (CitiBike NYC), location services, etc. The availability of all this body of data allows us to better understand how people interacts with these services. However, in order for this information to be useful, it is necessary to develop tools to extract knowledge from it and to drive better decisions. In this context, optimization is a powerful tool, which can be used to improve the way the available resources are used, avoid squandering, and improve the sustainability of services. The fields of meta-heuristics, artificial intelligence, and oper- ations research, have been tackling many of these problems for years, without much interaction. However, in the last few years, such communities have started looking at each other’s advance- ments, in order to develop optimization techniques that are faster, more robust, and easier to maintain. This effort gave birth to the fertile field of hybrid meta-heuristics.openDottorato di ricerca in Ingegneria industriale e dell'informazioneopenUrli, Tommas

    Computational Methods for Sequencing and Analysis of Heterogeneous RNA Populations

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    Next-generation sequencing (NGS) and mass spectrometry technologies bring unprecedented throughput, scalability and speed, facilitating the studies of biological systems. These technologies allow to sequence and analyze heterogeneous RNA populations rather than single sequences. In particular, they provide the opportunity to implement massive viral surveillance and transcriptome quantification. However, in order to fully exploit the capabilities of NGS technology we need to develop computational methods able to analyze billions of reads for assembly and characterization of sampled RNA populations. In this work we present novel computational methods for cost- and time-effective analysis of sequencing data from viral and RNA samples. In particular, we describe: i) computational methods for transcriptome reconstruction and quantification; ii) method for mass spectrometry data analysis; iii) combinatorial pooling method; iv) computational methods for analysis of intra-host viral populations

    MSUM Student Academic Conference

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    Minnesota State University Moorhead Student Academic Conference abstract book.https://red.mnstate.edu/sac-book/1013/thumbnail.jp

    Columbia Chronicle (11/25/2013)

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    Student newspaper from November 25, 2013 entitled The Columbia Chronicle. This issue is 41 pages and is listed as Volume 49, Number 13. Cover story: Optimal size matters Editor-in-Chief: Lindsey Woodshttps://digitalcommons.colum.edu/cadc_chronicle/1893/thumbnail.jp

    16th Annual Student Academic Conference

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    Minnesota State University Moorhead Student Academic Conference abstract book.https://red.mnstate.edu/sac-book/1015/thumbnail.jp

    16th Annual Student Academic Conference

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    Minnesota State University Moorhead Student Academic Conference abstract book.https://red.mnstate.edu/sac-book/1015/thumbnail.jp

    The Free Press Vol 45 Issue 11, 12-09-2013

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    Holiday Issue--USM rings in the holiday season--Student involvement rises despite falling fundinghttps://digitalcommons.usm.maine.edu/free_press/1104/thumbnail.jp

    2011 GREAT Day Program

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    SUNY Geneseo’s Fifth Annual GREAT Day.https://knightscholar.geneseo.edu/program-2007/1005/thumbnail.jp
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