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E-Health and Bioengineering Conference

作者： Elena Zamsa Programming Systems department Institute of Mathematics and Computer Science IMI Chisinau Republic of Moldova

ISBN: (纸本)9781467375467

The article presents the design of an application interface for associated medical data visualization and management for neurologists in a stroke clustering and prediction system called Stroke MD. The goal of the system is to facilitate efficient visual data introduction and knowledge extraction based on a predictive model implementation. Aspects such as quality of the visualized data, type of the viewed data (risk factor groups, clustered groups, data alerts, conclusions etc.) and efficient user-software interaction directly influenced decisions about system design, in particular the design of the doctor's/patient's user interface sides, input methods and user-software interaction techniques, ending in to a hybrid setup of interface.

关键词： e-health medical software user interfaces stroke risk groups management systems

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Emerging technologies for improving embryo selection: a systematic review

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Advanced Health Care Technologies 2015年 1卷 55-64页

作者： Sengul, Yasemin Bener, Ayse Uyar, Asli 1 Computer Programming Program Advanced Vocational Studies Dogus University Acibadem Kadikoy Istanbul Turkey 2 Data Science Laboratory Department of Mechanical and Industrial Engineering Ryerson University Toronto ON Canada 3 Department of Computer Engineering Okan University Tuzla Istanbul Turkey

Background: Embryo selection procedure is one of the critical success factors in in vitro fertilization treatment. Various embryo selection technologies have emerged within the past decade. These technologies are either used in combination with morphology or introduced to replace the conventional morphological evaluation. This review aims at investigating the effect of these novel embryo selection technologies on in vitro fertilization success rates. Methods: A systematic review of the literature was performed among full-text English articles in the PubMed database. Study selection was based on the predefined inclusion and exclusion criteria. Clinical effectiveness of the selected studies was measured in terms of implantation, pregnancy, live birth, and multiple pregnancy rates. Results: Five studies were identified that fitted the inclusion criteria. In these studies, researchers used aneuploidy screening, metabolomic profiling, and time-lapse imaging analysis as the new technologies. Among these studies, the one that conducted a randomized controlled trial of a commercial time-lapse imaging system demonstrated significant improvement in implantation rate. Conclusion: Studies using emerging technologies for embryo assessment provide promising results in retrospective analysis. On the other hand, randomized controlled trial studies that test the efficacy of novel embryo selection techniques in clinical practice failed to demonstrate a consistent improvement in the resulting success rates. This review provides a snapshot of the most recent literature on embryo assessment and embryo selection studies. Our findings show that there is a lack of comparative measurements and analyses that are able to assess benefits of the novel technologies in the field of embryo selection.

关键词： embryo selection in vitro fertilization IVF

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A self-adaptive evolutionary approach to the evolution of aesthetic maps for a RTS game

A self-adaptive evolutionary approach to the evolution of ae...

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Congress on Evolutionary Computation

作者： Raul Lara-Cabrera Carlos Cotta Antonio J. Fernändez-Leiva Department of Computer Science and Programming Languages University of Málaga Spain

Procedural content generation (PCG) is a research field on the rise, with numerous papers devoted to this topic. This paper presents a PCG method based on a self-adaptive evolution strategy for the automatic generation of maps for the real-time strategy (RTS) game Planet Wars. These maps are generated in order to fulfill the aesthetic preferences of the user, as implied by her assessment of a collection of maps used as training set A topological approach is used for the characterization of the maps and their subsequent evaluation: the sphere-of-influence graph (SIG) of each map is built, several graph-theoretic measures are computed on it, and a feature selection method is utilized to determine adequate subsets of measures to capture the class of the map. A multiobjective evolutionary algorithm is subsequently employed to evolve maps, using these feature sets in order to measure distance to good (aesthetic) and bad (non-aesthetic) maps in the training set. The so-obtained results are visually analyzed and compared to the target maps using a Kohonen network.

关键词： Planets Games Marine vehicles Extraterrestrial measurements Real-time systems Artificial intelligence Vectors

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DSOS and SDSOS optimization: LP and SOCP-based alternatives to sum of squares optimization

DSOS and SDSOS optimization: LP and SOCP-based alternatives ...

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Annual Conference on Information sciences and Systems (CISS)

作者： Amir Ali Ahmadi Anirudha Majumdar Mathematical Programming Group IBM Watson Research Center Department of Electrical Engineering and Computer Science MIT

Sum of squares (SOS) optimization has been a powerful and influential addition to the theory of optimization in the past decade. Its reliance on relatively large-scale semidefinite programming, however, has seriously challenged its ability to scale in many practical applications. In this paper, we introduce DSOS and SDSOS optimization as more tractable alternatives to sum of squares optimization that rely instead on linear programming and second order cone programming. These are optimization problems over certain subsets of sum of squares polynomials and positive semidefinite matrices and can be of potential interest in general applications of semidefinite programming where scalability is a limitation.

关键词： Optimization Robustness Collision avoidance Pricing Geometry

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Cloud agency: A guide through the clouds

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Mondo Digitale 2014年第49期13卷

作者： Aversa, Rocco Tasquier, Luca Venticinque, Salvatore University of Naples International Journal of Web Science Italy Computer and Electronic Engineering Department of Industrial and Information Engineering Italy Second University of Naples Computer Programming and Computer Architecture Italy

Cloud Computing is a new technology that has rapidly established itself in computer science since it allows the usage of huge computing resources that are dynamically allocated in order to satisfy user's needs and that are accessible as a service through a remote interface, such as a web browser. Cloud resources can be distributed in different places and such distribution is made transparent to the user;this one does not need to worry about data replication and/or maintenance of the infrastructure but he/she benefits only of the required services, by exploiting the Pay-Per-Use business model. In this context, the interoperability among different providers becomes critical due to the vendor lock-in problem. Here we present a multi agent system that accesses, on behalf of the user, the utility market of Cloud computing to maintain the best resources configuration that satisfies the application requirements. It also offers management and monitoring facilities for the Cloud infrastructure in order to guide the user in all the phases of the application's lifecycle. Together with the platform, we present client-side tools that can be used to orchestrate agents' based services.

关键词： Mobile agents

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Dynamic Calculation and Characterization of Threshold Value in Optical Character Recognition

Dynamic Calculation and Characterization of Threshold Value ...

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International Conference on challenges in IT, Engineering and Technology (ICCIET’2014, Phuket)

作者： Ay?e Eldem Fatih Ba??ift?i Department of Computer Technology and Computer Programming Technical Science Vocational High School Karamano?lu Mehmetbey University Department of Computer Engineering Faculty of Technology Selcuk University

Optical character recognition(OCR) can be used in some management mechanisms of state and business world to organize documents scanned or captured by camera. Therefore, OCR is one of the subjects rapidly evolving in the recent times. This study investigates the procedure steps until character recognition. That's because, the more correctly preprocessings are applied;the better results can be obtained in character recognition. In this study, the algorithms providing the best results are determined by following the procedure stages of gray scale transformation, noise removal and image thresholding. Binarization plays an important role in character recognition. For this reason, algorithms dynamically determine thresholds are preferred for character recognition in this study. Accordingly, Otsu thresholding method was determined to give the best results in terms of both picture quality and speed. Therefore, this method was used for character recognition. Primarily, lines were determined for character separation and then letters were individually obtained.

关键词： Image Processing OCR Thresholding Binarization Pattern Recognition

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Cheating prevention in Visual Cryptography using steganographic scheme

Cheating prevention in Visual Cryptography using steganograp...

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International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)

作者： Biswapati Jana Partha Chowdhuri auMadhumita Mallick auShyamal Kumar Mondal Department of Computer Science Vidyasagar University Paschim Medinipur India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Paschim Medinipur India

Visual Cryptography (VC) is a technique to encrypt a secret image into transparent shares such that stacking a sufficient number of shares reveals the secret image without any computation. Cheating is possible in the Visual Cryptographic Schemes (VCS) by dishonest or malicious participant called a cheater, may provide a Fake Share (FS) to cheat the other participants. To achieve cheating prevention in VC we have proposed a steganographic scheme to embed a secret message in each of the shares in random location during share generation phase called stego share. Before stacking receiver can extract hidden message from stego share for checking authentication of shares. In this method no verification share is required to prevent cheating in VC.

关键词： Silicon Cryptography

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Publisher Correction: Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes

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Nature communications 2018年第1期9卷 2162页

作者： Sílvia Bonàs-Guarch Marta Guindo-Martínez Irene Miguel-Escalada Niels Grarup David Sebastian Elias Rodriguez-Fos Friman Sánchez Mercè Planas-Fèlix Paula Cortes-Sánchez Santi González Pascal Timshel Tune H Pers Claire C Morgan Ignasi Moran Goutham Atla Juan R González Montserrat Puiggros Jonathan Martí Ehm A Andersson Carlos Díaz Rosa M Badia Miriam Udler Aaron Leong Varindepal Kaur Jason Flannick Torben Jørgensen Allan Linneberg Marit E Jørgensen Daniel R Witte Cramer Christensen Ivan Brandslund Emil V Appel Robert A Scott Jian'an Luan Claudia Langenberg Nicholas J Wareham Oluf Pedersen Antonio Zorzano Jose C Florez Torben Hansen Jorge Ferrer Josep Maria Mercader David Torrents Barcelona Supercomputing Center (BSC) Joint BSC-CRG-IRB Research Program in Computational Biology 08034 Barcelona Spain. Genomic Programming of Beta-cells Laboratory Institut d'Investigacions August Pi i Sunyer (IDIBAPS) 08036 Barcelona Spain. Instituto de Salud Carlos III Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) 28029 Madrid Spain. Section of Epigenomics and Disease Department of Medicine Imperial College London London W12 0NN UK. The Novo Nordisk Foundation Center for Basic Metabolic Research Section for Metabolic Genetics Faculty of Health and Medical Sciences University of Copenhagen 2100 Copenhagen Denmark. Institute for Research in Biomedicine (IRB Barcelona) The Barcelona Institute of Science and Technology Baldiri Reixac 10-12 08028 Barcelona Spain. Departament de Bioquímica i Biomedicina Molecular Facultat de Biologia Universitat de Barcelona 08028 Barcelona Spain. Computer Sciences Department Barcelona Supercomputing Center (BSC-CNS) 08034 Barcelona Spain. Department of Epidemiology Research Statens Serum Institut 2300 Copenhagen Denmark. Division of Endocrinology and Center for Basic and Translational Obesity Research Boston Children's Hospital Boston MA 02116 USA. Medical and Population Genetics Program Broad Institute of MIT and Harvard Cambridge MA 02142 USA. ISGlobal Centre for Research in Environmental Epidemiology (CREAL) 08003 Barcelona Spain. CIBER Epidemiología y Salud Pública (CIBERESP) 28029 Madrid Spain. Universitat Pompeu Fabra (UPF) 08003 Barcelona Spain. Artificial Intelligence Research Institute (IIIA) Spanish Council for Scientific Research (CSIC) 28006 Madrid Spain. Programs in Metabolism and Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA 02142 USA. Diabetes Unit and Center for Genomic Medicine Massachusetts General Hospital Boston MA 02114 USA. Division of General Internal Medicine Massachusetts General Hospital Bost

In the originally published version of this Article, the affiliation details for Santi González, Jian'an Luan and Claudia Langenberg were inadvertently omitted. Santi González should have been affiliated with 'Barcelona Supercomputing Center (BSC), Joint BSC-CRG-IRB Research Program in Computational Biology, 08034 Barcelona, Spain', and Jian'an Luan and Claudia Langenberg should have been affiliated with 'MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK'. Furthermore, the abstract contained an error in the SNP ID for the rare variant in chromosome Xq23, which was incorrectly given as rs146662057 and should have been rs146662075. These errors have now been corrected in both the PDF and HTML versions of the Article.

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Down to Earth - How to Visualize Traffic on High-dimensional Torus Networks

Down to Earth - How to Visualize Traffic on High-dimensional...

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Workshop on Visual Performance Analysis (VPA)

作者： Lucas Theisen Aamer Shah Felix Wolf Department of Computer Science RWTH Aachen University Aachen Germany German Research School for Simulation Sciences Laboratory for Parallel Programming Aachen Germany

High-dimensional torus networks are becoming common in flagship HPC systems, with five of the top ten systems in June 2014 having networks with more than three dimensions. Although such networks combine performance with scalability at reasonable cost, the challenge of how to achieve optimal performance remains. Tools are needed to help understand how well the traffic is distributed among the many dimensions. This involves not only capturing network traffic but also its comprehensible visualization. However, visualizing such networks requires projecting multiple dimensions onto a two-dimensional screen, which is naturally challenging. To tackle this problem, in this position paper, we propose a visualization technique which can display traffic on torus networks with up to six dimensions. Our fundamental approach is to simultaneously present multiple views of the same network section, with each view visualizing different dimensions. Furthermore, we leverage the multiple-coordinate system concept and combine it with a customized polygon view to provide both a global and a zoomed-in perspective of the network. By interactively linking all the views, our technique makes it possible to analyze how the communication pattern of an application is mapped onto a network.

关键词： Data visualization Visualization Monitoring Measurement Educational institutions Joining processes Hardware

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How file access patterns influence interference among cluster applications

How file access patterns influence interference among cluste...

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IEEE International Conference on Cluster Computing

作者： Chih-Song Kuo Aamer Shah Akihiro Nomura Satoshi Matsuoka Felix Wolf Department of Computer Science RWTH Aachen University Aachen Germany German Research School for Simulation Sciences Laboratory for Parallel Programming Aachen Germany Tokyo Institute of Technology Global Scientific Information and Computing Center Tokyo Japan

On large-scale clusters, tens to hundreds of applications can simultaneously access a parallel file system, leading to contention and in its wake to degraded application performance. However, the degree of interference depends on the specific file access pattern. On the basis of synchronized time-slice profiles, we compare the interference potential of different file access patterns. We consider both micro-benchmarks, to study the effects of certain patterns in isolation, and realistic applications to gauge the severity of such interference under production conditions. In particular, we found that writing large files simultaneously with small files can slow down the latter at small chunk sizes but the former at larger chunk sizes. We further show that such effects can seriously affect the runtime of real applications-up to a factor of five in one instance. In the future, both our insights and profiling techniques can be used to automatically classify the interference potential between applications and to adjust scheduling decisions accordingly.

关键词： Interference Servers Throughput Benchmark testing Market research Degradation Aggregates

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