Information System Engineering
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Submission deadline: 06/01/2015
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Scope and purposes
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Information System Engineering (ISE) is a multidisciplinary field that focuses on the analysis, design, development, and integration of systems enabling the effective and efficient use, generation, and application of information in today’s highly dynamic environment. Building on the disciplines of software engineering, systems engineering, information assurance, and networking, ISE employs techniques and methodologies that allow practitioners to create and manage complex IS to solve real-world problems. The main focus of ISE is on building an entire IS architectures that optimize the use of information technology (IT) resources within organizations. An effective IS architecture facilitates the management of information, information repositories, and IS to provide optimized support to management and executives. ISE focuses on the interface, integration, standardization, and interoperability issues of software development. This journal touches upon all the dimensions related to the ISE field that covers the industrial sectors in addition to educational sectors.
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Topics of primary interest include, but are not limited to:
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• ISE in education and curriculum design • ISE integration patterns • Enterprise architecture for ISE • ISE applications development • Agile development models for ISE • ISE security models • ISE governance and alignment with Business Processes(BP) • ISE infrastructure and cloud computing • ISE reference models
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Important Dates
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Deadline for submission:
06/01/2015
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Deadline for
revision:
07/01/2015
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Notification of final decision:
07/15/2015
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Estimated Publication:
2015 (Tentative)
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Submission
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Abstracts addressing one or more of these themes/topics or further questions should be emailed to an editor by <06/01/2015> at bykazemi@uqu.edu.sa, mknour@uqu.edu.sa and sahraoui@laas.fr. Manuscript submissions are invited by the submission deadline. All papers will undergo a double or triple-blind peer review process.
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Guest Editors
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Basem AlkazemiCollege of Computer and Information systems, Umm A-Qura University, Saudi Arabia bykazemi@uqu.edu.sa
Mohamed NourCollege of Computer and Information systems, Umm A-Qura University, Saudi Arabia mknour@uqu.edu.sa
Abdulqader SahraouiLAAS,Univ de Toulouse, UTM, LAAS, France sahraoui@laas.fr
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Manuscript submission deadline
06/01/2015
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Computational Analysis Methods in Dental Biomechanics
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Submission deadline: 01/15/2015
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Scope and purposes
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Biomechanics is the application of engineering mechanics (statics, dynamics, strength of materials, and stress analysis) for solutions of biological problems, where it has been pertained to dentistry to study the biologic behavior of oral structures under physical influence of dental restoration. The main scope of this special issue is to discuss the new methods of computational analysis applied on dental biomechanics fields during loading of an implant, follow up of dental surgeries, treatment of TMJ diseases, biting forces determination, dental image analysis, and test of dental biomaterials.
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Topics of primary interest include, but are not limited to:
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• Dental biomechanics • Image processing • Dental stress analysis • Dental computing systems • Dental Radiography analysis • Dental biomaterials
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Important Dates
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Deadline for submission:
01/15/2015
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Deadline for
revision:
02/15/2015
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Notification of final decision:
02/27/2015
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Estimated Publication:
03/20/2015 (Tentative)
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Submission
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Abstracts addressing one or more of these themes/topics or further questions should be emailed to an editor by <01/15/2015> at tamer@ieee.org. Manuscript submissions are invited by the submission deadline. All papers will undergo a double or triple-blind peer review process.
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Guest Editors
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Tamer M. NassefAss. Professor of Computer and Software Engineering tamer@ieee.org
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Manuscript submission deadline
01/15/2015
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Computational Methods in Systems and Synthetic Biology
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Submission deadline: October 31, 2014
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Scope and purposes
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Research articles, reviews and letters in area of systems and synthetic biology, which involves the use of computational intelligence methods. The purpose of this special issue is to establish fundamentals of computational methods in systems and synthetic biology for enabling further exploration of biotechnology discoveries.
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Topics of primary interest include, but are not limited to:
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• Computational systems biology • Optimization methods for enhancing production in biochemical pathways, Computational modeling in systems and synthetic biology • Parameter estimation using metaheuristic algorithms • Flux balance analysis and gene knockout • Designing and optimizing synthetic biology models
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Important Dates
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Deadline for submission:
October 31, 2014
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Deadline for
revision:
November 30, 2014
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Notification of final decision:
December 15, 2014
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Estimated Publication:
January 15, 2015 (Tentative)
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Submission
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Abstracts addressing one or more of these themes/topics or further questions should be emailed to an editor by October 31, 2014 at afnizanfaizal@utm.my, afnizan@gmail.com. Manuscript submissions are invited by the submission deadline. All papers will undergo a double or triple-blind peer review process.
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Guest Editors
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Dr. Afnizanfaizal AbdullahArtificial Intelligence and Bioinformatics Group (AIBIG), Faculty of Computing, Universiti Teknologi Malaysia afnizanfaizal@utm.my, afnizan@gmail.com
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Manuscript submission deadline
October 31, 2014
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Distributed Framework and Parallel Algorithms for Big Data Applications
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Submission deadline: 11/30/2014
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Scope and purposes
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Big Data is a new paradigm for any collection of datasets that cannot be handled by the on-hand data analytics tools and traditional data management systems due to the data characteristics of volume, velocity, variety and veracity. Various data storage and processing systems have been developed based on parallel and distributed computing infrastructure and technologies to support Big Data, such as MapReduce, MongoDB, STORM, etc. The analytics systems that leverage Big Data have also yielded remarkable insights and values to a wide range of applications domains. As estimated by IDC, the Big Data technology and services market is expected to grow from $3.2 billion in 2010 to $16.9 billion in 2015. Therefore, with the fast growing demand of Big Data processing, this special issue will focus on the challenge of developing novel computing and storage infrastructure and parallel analytic tools for Big Data applications.
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Topics of primary interest include, but are not limited to:
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•Distributed Storage infrastructure: a.Cloud storage and distributed file system solutions for Big Data b.Memory-only storage systems design for Big Data c.Solid-state drive (e.g., flash, PCM) in large-scale storage d.Performance driven NoSQL database design and query optimization
•Distributed Computing infrastructure: a.In-memory computing for Big Data b.Workflow optimization and task scheduling algorithms for Big Data c.Resource and workload management for Big Data processing framework and systems d.Performance evaluation and analysis of distributed Big Data processing systems e.Novel distributed processing framework and system for special types of Big Data, such as graph, multimedia, geographic and streaming data. f.Parallel data analytic tools and machine learning algorithms on MapReduce-like distributed systems
•Heterogeneous parallel processing: a.Heterogeneous CPU-GPU solutions for processing Big Data b.OpenCL and GUDA library optimization for Big Data c.Parallel data analytic tools and machine learning algorithms on many-core accelerators, such as GPU and Xeno Phi
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Important Dates
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Deadline for submission:
11/30/2014
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Deadline for
revision:
02/28/2015
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Notification of final decision:
04/15/2015
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Estimated Publication:
2015 (Tentative)
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Submission
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Abstracts addressing one or more of these themes/topics or further questions should be emailed to an editor by <11/30/2014> at jchou@lsalab.cs.nthu.edu.tw. Manuscript submissions are invited by the submission deadline. All papers will undergo a double or triple-blind peer review process.
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Guest Editors
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Jerry ChouNational Tsing Hua University jchou@lsalab.cs.nthu.edu.tw
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Manuscript submission deadline
11/30/2014
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