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International Conference on Developments in eSystems Engineering (DESE)

作者： Izzeldin Elhassan Fanny Klett Computer Science Dept. PhD program Sudan University of Science and Technology Khartoum Sudan German Workforce ADL Partnership Laboratory Germany

ISBN: (纸本)9781509018628

The expansion of urbanization and demographic changes defines not only economic demands but makes governments increasingly experience a serious force toward a sustainable development, which causes a need for a qualified and retaining competitive workforce. In view of this trend, governments and businesses start considering technology as vital enabler to solve the rising urbanization issues and improve the living and working environments according to a set of priorities. Simultaneously, competency and skills development are seen as the critical issue for the workforce and the workplaces. Accordingly, the complex interrelationship between strategic management, human capital management, and the overall quality management in an educational as well as enterprise setting move closer to the focus of research. This paper discusses an emerging area of research, which explores the utilization of both, advanced technologies in terms of business intelligence and analytic techniques in a multicomponent architecture and a sustainable competency-based human capital strategy. The novel approach targets at an alignment of one of the most important higher education outputs, namely the human capital, with market needs and thus, maximizing the benefits of higher education in achieving sustainable economic development.

关键词： Education Organizations Economics Market research Data mining Decision making

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Predictive efficacy of a new association football league format in Polish Ekstraklasa 2

Predictive efficacy of a new association football league for...

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2nd Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2015

作者： Lasek, Jan Gagolewski, Marek Interdisciplinary PhD Studies Program Institute of Computer Science Polish Academy of Sciences Jana Kazimierza 5 Warsaw01-248 Poland Systems Research Institute Polish Academy of Sciences Newelska 6 Warsaw01-447 Poland Faculty of Mathematics and Information Science Warsaw University of Technology Koszykowa 75 Warsaw00-662 Poland

In this study we investigate the recently introduced competition format for the top association football division in Poland (similar to one used in, e.g., Belgium and Kazakhstan). We compare it to the double round-robin tournament which is the most prevalent league for-mat among European leagues. In a simulation study we show that the new league format has better ability to determine the strongest competitor as the winner of a league as well as it yields higher correlation with theoretical latent teams' strength parameters in the model.

关键词： Routers

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The effect of node selfishness on the performance of WSN cluster-based routing algorithms

The effect of node selfishness on the performance of WSN clu...

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AFRICON Conference

作者： Ketema Adere Gemeda Gabriele Gianini Mulugeta Libsie IT PhD Program Addis Ababa University Ethiopia Dipartimento di Informatica Universitàdegli Studi di Milano Italy Department of Computer Science Addis Ababa University Ethiopia

In Wireless Sensor Networks (WSNs), energy efficiency is among the most important factors since the lifetime of an unattended node is limited by its battery lifetime. In infrastructure-less WSNs, in order to use their resources efficiently, nodes can be organized hierarchically. In this case, long range communication is entrusted to a subset of nodes, the Cluster Heads (CHs): each CH acts as a gateway between the local nodes in its cluster and the other CHs in the network. When in this role, a node must stand a heavier traffic and consume more resources: fairness dictates that the role has to be taken in turn by each node in an area that fits the task. However, a selfish node may adopt several strategies to save its energy: it can make itself unavailable for the role of CH, or, when in that role, it can avoid relaying packets. In this work, we study the impact of selfish nodes on the performance of the cluster based algorithm LEACH. By taking into consideration several Quality of Service metrics, we quantify the extent of performance degradation as a function of the percentage of selfish nodes. We show that, when the percentage of selfish nodes is 75%, only 37% of packets reach the base station, network lifetime reduces to 40% of rounds and packet retransmission attempts is close to 63%.

关键词： Wireless sensor networks Clustering algorithms Routing Algorithm design and analysis Energy efficiency Base stations Protocols

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Deriving processes of information mining based on semantic nets and frames

Deriving processes of information mining based on semantic n...

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27th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014

作者： Martins, Sebastian Rodríguez, Darío García-Martínez, Ramón Information Systems Research Group National University of Lanus Argentina PhD Program on Computer Science National University of la Plata Argentina

ISBN: (纸本)9783319074665

There are information mining methodologies that emphasize the importance of planning for requirements elicitation along the entire project in an orderly, documented, consistent and traceable manner. However, given the characteristics of this type of project, the approach proposed by the classical requirements engineering is not applicable to the process of identifying the problem of information mining, nor allows to infer from the business domain modelling, the information mining process which solves it. This paper proposes an extension of semantic nets and frames to represent knowledge of the business domain, business problem and problem of information mining;and a methodology to derive the information mining process from the proposed knowledge representations is introduced. © 2014 Springer International Publishing Switzerland.

关键词： Requirements engineering

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Economic comparison of deloaded-wind and wind-battery systems

Economic comparison of deloaded-wind and wind-battery system...

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2014 6th Annual IEEE Green Technologies Conference, GREENTECH 2014

作者： Singarao, Venkatesh Yadav Nimmagadda, Sandeep Rao, Vittal Multi-Disciplinary Wind Science and Engineering PhD Program Texas Tech University Lubbock United States Electrical and Computer Engineering Texas Tech University Lubbock United States Department of Electrical and Computer Engineering Texas Tech University Lubbock United States

ISBN: (纸本)9781479939336

With the increasing grid penetration levels of wind power, there is a large need for the energy reserves for grid support during under-frequency conditions. Such energy reserves are created by operating the wind farm at non-optimum/deloaded operating points, as well as through storage of excess energy in Batteries. This paper provides technical and economic analysis of the above strategies and thus provides a case comparison of deloaded wind farm to that of wind-Battery system. A simplified Excel-based Proforma financial model has been developed to perform sensitivity analysis, as well as to obtain the impact of these strategies on the cost of energy. © 2014 IEEE.

关键词： Electric batteries

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Proposal and validation of a feasibility model for information mining projects 25

Proposal and validation of a feasibility model for informati...

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25th International Conference on Software Engineering and Knowledge Engineering, SEKE 2013

作者： Pytel, Pablo Britos, Paola García-Martínez, Ramón PhD Program on Computer Science GISI UNLA GEMIS UTNFRBA UNLP Buenos Aires Argentina Information Mining Research Group National University of Rio Negro at El Bolson Argentina Information Systems Research Group National University of Lanus Remedios de Escalada Argentina

ISBN: (纸本)1891706330

Information Mining projects are a special type of Software Engineering projects with the objective of extracting non-trivial knowledge from available data repositories. Information mining projects share similar problems with Software Engineering projects. Most of these problems should be handled at the initial activities of the project. But there is no model to analyze and evaluate the project feasibility which could be used to predict the main project risks. In this context, the objective of this paper is to propose and validate an ad-hoc model that can be used at the beginning of an Information Mining project in order to analyze its feasibility. Copyright © 2013 by Knowledge Systems Institute Graduate School.

关键词： Software engineering

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A yield-driven regular layout synthesis

A yield-driven regular layout synthesis

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IEEE computer Society Annual Symposium on VLSI

作者： Cristina Meinhardt Ricardo Reis PhD Student at Graduate Program in Computer Science Federal University of Rio Grande do Sul Porto Alegre Brazil Graduate Program in Computer Science (advisor) Federal University of Rio Grande do Sul Porto Alegre Brazil

The continuous devices shrinking has introduced new challenges to integrated circuit design, mainly to deal with the overall yield loss (Beckett 2002). Designers start to take into account process variability impact in the early design stages to successful deal with yield loss. Process variability have a critical effect on integrated circuits increasing power consumption to out of design specifications, accelerating circuit degradation or introducing erroneous circuit functionality. Routing ... This work proposes two main contributions to improve yield: explore regular detailed routing reducing the number of vias and explore new approaches of basic cells in a regular layout synthesis.

关键词： Routing Layout Transmission line matrix methods FinFETs Logic gates Power demand

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Spectral clustering strategies for heterogeneous disease expression data 18

Spectral clustering strategies for heterogeneous disease exp...

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18th Pacific Symposium on Biocomputing, PSB 2013

作者： Huang, Grace T. Cunningham, Kathryn I. Benos, Panayiotis V. Chennubhotla, Chakra S. Department of Computational and Systems Biology University of Pittsburgh PittsburghPA United States Joint CMU-Pitt PhD Program in Computational Biology University of Pittsburgh PittsburghPA United States Clinical and Translational Science Institute University of Pittsburgh PittsburghPA United States Department of Computer Science University of Arizona TucsonAZ United States

Clustering of gene expression data simplifies subsequent data analyses and forms the basis of numerous approaches for biomarker identification, prediction of clinical outcome, and personalized therapeutic strategies. The most popular clustering methods such as K-means and hierarchical clustering are intuitive and easy to use, but they require arbitrary choices on their various parameters (number of clusters for K-means, and a threshold to cut the tree for hierarchical clustering). Human disease gene expression data are in general more difficult to cluster efficiently due to background (genotype) heterogeneity, disease stage and progression differences and disease subtyping;all of which cause gene expression datasets to be more heterogeneous. Spectral clustering has been recently introduced in many fields as a promising alternative to standard clustering methods. The idea is that pairwise comparisons can help reveal global features through the eigen techniques. In this paper, we developed a new recursive K-means spectral clustering method (ReKS) for disease gene expression data. We benchmarked ReKS on three large-scale cancer datasets and we compared it to different clustering methods with respect to execution time, background models and external biological knowledge. We found ReKS to be superior to the hierarchical methods and equally good to K-means, but much faster than them and without the requirement for a priori knowledge of K. Overall, ReKS offers an attractive alternative for efficient clustering of human disease data.

关键词： Cluster analysis

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Review on Engineering and Regulatory aspects associated with Frequency Control Capabilities of Wind Power Plants

Review on Engineering and Regulatory aspects associated with...

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IEEE Energytech

作者： Venkatesh Yadav Singarao Vittal Rao Mark A. Harral multi-disciplinary Wind Science and Engineering PhD program Texas Tech University Department of Electrical & Computer Engineering Texas Tech University GroupNIRE clean energy development company

ISBN: (纸本)9781467344456

With the increasing grid penetration levels of wind power, there is an increasing need to study both the power control systems and the regulatory aspects associated with frequency control capabilities of wind power plants at various levels (turbine, wind farm and power system levels). This is especially very important in the United States with a goal of achieving 20% nation's electricity from wind energy by 2030. This paper provides observations and challenges identified with wind energy integration with respect to active power control strategies used in implementing frequency regulation at various levels. This paper also discusses the current and future aspects of market regulation of frequency responsive services offered by converter based variable generation technologies and the need for an appropriate utility market structure in order to provide settlements for these capabilities.

关键词： Inertial and Primary Frequency Response Frequency Regulation Standards Ancillary Service Markets Wind Power Plants

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