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Bridging Higher Education and Market Dynamics in a Business Intelligence Framework

Bridging Higher Education and Market Dynamics in a Business ...

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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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Digital data security and hiding on virtual reality VDO 3DGIS-Map

Digital data security and hiding on virtual reality VDO 3DGI...

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IEEE International Conference on Management of Innovation and Technology, ICMIT

作者： Katanyoo Klubsuwan Surasak Mungsing PHD-Information Technology Sripatum University Bangkok Thailand Computer Science Program Faculty of Informatics Sripatum University Bangkok Thailand

Todaypsilas Information Technology supports varieties of e-commerce, in particular on-demand services such as news, message, seminar and presentation speech to message, and 3D Video GIS. Each service can have value-added by embedding other hidden-service within the main service, hence promoting value-added to the service. The value-added services are accomplished by using the technique of Multiple Keys and Messages Embedding (MKME), which hidden-contents can be retrieved only by applying the correct corresponding decryption keys This paper presents the design and algorithm for multiple keys and messages embedding on 3D Video GIS, based on Steganography concept. The quality of the resulting product was also investigated. The main data used is geospatial video, which is primarily used by the elderly and disables people so that they can feel the surroundings on their desktop while sitting at home.

关键词： Pixel Three dimensional displays Discrete cosine transforms Geographic information systems Security Image color analysis Cryptography

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Case study on requirements engineering in information mining project: Metallurgical enterprise 1

Case study on requirements engineering in information mining...

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Joint 1st International Workshop on Knowledge Requirements: Acquisition and Representation, KRAR 2016 and the 1st Regional Consortium for Computing sciences and Foundation, RCCS 2016

作者： Pollo-Cattaneo, M.F. Pesado, P. Britos, P. García-Martínez, R. PhD Program on Computer Science Computer Science School National University of La Plata Information System Methodologies Research Group Technological National University Buenos Aires Argentina School of Computer Science National University of La Plata Buenos Aires Argentina Information Mining Research Group National. Lab. ID + I in Visualization Computer Graphics and Creative Code University of Rio Negro at El Bolsón Río Negro Argentina Information Systems Research Group National University of Lanus Buenos Aires Argentina

There can be no debate that Information Mining Projects cause processing tools to arise with the sole purpose of converting available organization data into useful knowledge on account of decision-making. Considering the aforementioned, this type of projects demands due diligence in the requirement specification process, as the latter needs to be thorough and traceable throughout the entire project, and therefore, process associated with requirements engineering are not to be reused in any future projects among the like. Similarly, latest methodologies within the field of Information Mining fail to take practices associated to stakeholders and costumers' requirements management into account. With this aim in mind, a solution model to the Information Mining Project Management necessities is proposed. © 2016, CEUR-WS. All rights reserved.

关键词： Requirements engineering

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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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Knowledge contribution in social media: Exploring factors influencing social taggers' acceptance towards contributing and sharing tags

Knowledge contribution in social media: Exploring factors in...

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6th International Conference on Information Systems, Management and Technology, ICISTM 2012

作者： Allam, Hesham Blustein, James Bliemel, Michael Spiteri, Louise Interdisciplinary PhD Program Dalhousie University Halifax NS Canada Faculty of Computer Science School of Information Management Dalhousie University Halifax NS Canada School of Business Administration Dalhousie University Halifax NS Canada School of Information Mangement Dalhousie University Halifax NS Canada

ISBN: (纸本)9783642291654

Based on a thorough literature review of social tagging and on technology acceptance models, we developed and empirically validated a motivational model to predict users' acceptance to add and share tagging content. Four factors successfully predicted users' intention to add and share metadata tagging content. Unlike previous studies on virtual communities, Reciprocity was found to be positively related to attitude whereas, in line with previous research, Ease of Use and Personal Productivity were confirmed to have substantial influence on users' attitude, which in turn affects the intention towards creating and sharing tagging content. Our findings are expected to shed light on developing strategies to understand and promote tagging content contribution and sharing which have the potential to increase the collective power and intelligence of the community. © 2012 Springer-Verlag.

关键词： Social networking (online)

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Simultaneous identification for synergistic transcription factors and their transcription factor binding sites

Simultaneous identification for synergistic transcription fa...

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5th International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2011

作者： Tsai, Zing Tsung-Yeh Huang, Grace Tzu-Wei Tsai, Huai-Kuang Institute of Information Science Academia Sinica Taipei 115 Taiwan Bioinformatics Program Taiwan International Graduate Program Taiwan Institute of Biomedical Informatics National Yang-Ming University Taiwan Joint CMU-Pitt PhD Program in Computational Biology University of Pittsburgh Carnegie Mellon University Pittsburgh PA United States Research Center for Information Technology Innovation Taipei 115 Taiwan Computer Science and Engineering National Taiwan Ocean University Keelung 202 Taiwan

ISBN: (纸本)9780769543734

Identifying transcription factor binding sites (TFBSs) is crucial for understanding the mechanism of transcriptional regulation. It is known that transcription factors (TFs) often cooperate to regulate genes. While traditional approaches can be used to discover binding motifs of a group of co-regulated genes, they often fail to accurately assign motifs to the corresponding TFs. Here, we consider two TFs together to infer their TFBSs and their synergistic relationship simultaneously. The basic idea is that if two TFs interact, their TFBSs, if distinct, would be conserved across species and coincided in the promoter regions of the genes they co-regulated. Applying our method to Saccharomyces cerevisiae chromatin immunoprecipitation data, we predicted 110 TF pairs with statistically significant motif assignments. A majority of these TF pairs have literature support to be synergistic, and the designated motifs to TFs match well with their known consensus. We further examined the synergism of predicted TF pairs in seven experimental conditions using ANOVA, and identified significant interactions. © 2011 IEEE.

关键词： Yeast

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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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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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Predictive modelling of stem cell differentiation and apoptosis in C. elegans

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9th International Conference on Information Processing in Cells and Tissues, IPCAT 2012

作者： Beyer, Antje Eberhard, Ralf Piterman, Nir Hengartner, Michael O. Hajnal, Alex Fisher, Jasmin Department of Genetics University of Cambridge Cambridge United Kingdom Institute of Molecular Life Sciences University of Zurich Zurich Switzerland PhD Program in Molecular Life Sciences Life Science Zurich Graduate School University of Zurich Zurich Switzerland Department of Computer Science University of Leicester Leicester United Kingdom Microsoft Research Cambridge United Kingdom

ISBN: (纸本)9783642287916

The nematode Caenorhabditis elegans has been established as a modeling organism in biomedical research for several decades. Its hermaphrodite germ line encompasses key developmental concepts like stem cell differentiation and apoptosis;therefore it provides a good model system for these basic concepts. Here, we have extended and refined our previous computational model, which encompasses developmental landmarks and the resulting movement of germ cells along the gonadal tube. We have used the molecular dynamics (MD) framework to model the physical movement of cells due to the force arising from cell divisions. The model simulation was calibrated with experimental time and it is in accordance with experimental observations. In addition, the model provides means for testing hypotheses regarding the behaviour of mutated germ lines and the potential mechanisms causing physiological apoptosis, which are difficult to assess experimentally. © 2012 Springer-Verlag.

关键词： Molecular dynamics

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