Computer Science
Loading...
ISSN 1508-2806
e-ISSN: 2300-7036
Issue Date
2013
Volume
Vol. 14
Number
No. 1
Description
Reviewed by: Joanna Kołodziej, Janusz Wojtusiak, Joanna Dulińska, Renata Słota, Mariusz Sterzel, Chao Wang, Stanisław Polak, Roman Dębski, Marcin Kurdziel, Wojciech Filipkowski, Philip Moore, Michal Laclavík, Piotr Breitkopf, Roman Wyrzykowski, Krzysztof Boryczko, Ernest Jamro, Robert Virding, Jan Henry Nystrom, Sebastian Ernst, Aleksander Jarzębowicz, Juan Burguillo, Sebastián Ventura
Journal Volume
Computer Science
Vol. 14 (2013)
Projects
Pages
Articles
Challenges and opportunities for the future of icampuses
(Wydawnictwa AGH, 2013) Thomas, Andrew M.; Shah, Hanifa U.; Moore, Philip; Evans, Cain; Sharma, Mak; Mount, Sarah; Pham, Hai V.; Osman, Keith; Wilcox, Anthony J.; Rayson, Peter; Chapman, Craig; Chima, Parmjit; Athwal, Cham; While, David
Meeting the educational needs of students currently requires moving toward collaborative electronic and mobile learning systems that parallel the vision of Web 2.0. However, factors such as data freedom, brokerage, interconnectivity and the Internet of Things add to a vision for Web 3.0 that will require consideration in the development of future campus-based, distance and vocational study. So, education can, in future, be expected to require deeper technological connections between students and learning environments, based on significant use of sensors, mobile devices, cloud computing and rich-media visualization. Therefore, we discuss challenges associated with such a futuristic campus context, including how learning materials and environments may be enriched by it. As an additional novel element the potential for much of that enrichment to be realized through development by students, within the curriculum, is also considered. We will conclude that much of the technology required to embrace the vision of Web 3.0 in education already exists, but that further research in key areas is required for the concept to achieve its full potential.
From quantity to quality: massive molecular dynamics simulation of nanostructures dunder plastic deformation in desktop and service grid distributed computing infrastructure
(Wydawnictwa AGH, 2013) Gatsenko, Olexander; Bekenev, Lev Valer'evič; Pavlov, Evgen Valerijovič; Gordienko, Ûri G.
The distributed computing infrastructure (DCI) on the basis of BOINC and EDGeS-bridge technologies for high-performance distributed computing is used for porting the sequential molecular dynamics (MD) application to its parallel version for DCIwith Desktop Grids (DGs) and Service Grids (SGs). The actual metrics of the working DG-SG DCI were measured, and the normal distribution of host performances, and signs of log-normal distributions of Rother characteristics (CPUs, RAM, and HDD per host) were found. The practical feasibility and high efficiency of the MD simulations on the basis of DG-SG DCI were demonstrated during the experiment with the massive MD simulations for the large quantity of aluminum nanocrystals (Statistical analysis (Kolmogorov-Smirnov test, moment analysis, and bootstrapping analysis) of the defect density distribution over the ensemble of nanocrystals had show that change of plastic deformation mode is followed by the qualitative change of defect density distribution type over ensemble of nanocrystals. Some limitations (fluctuating performance, unpredictable availability of resources, etc.) of the typical DG-SG DCI were outlined, and some advantages (high efficiency, high speedup, and low cost) were demonstrated. Deploying on DG DCI allows to get new scientific quality from the simulated quantity of numerous configurations by harnessing sufficient computational power to undertake MD simulations in a wider range of physical parameters (configurations) in a much shorter timeframe.
CLUO: web-scale text mining system for open source intelligence purposes
(Wydawnictwa AGH, 2013) Maciołek, Przemysław; Dobrowolski, Grzegorz
The amount of textual information published on the Internet is considered to be in billions of web pages, blog posts, comments, social media updates and others. Analyzing such quantities of data requires high level of distribution – both data and computing. This is especially true in case of complex algorithms, often used in text mining tasks. The paper presents a prototype implementation of CLUO – an Open Source Intelligence (OSINT) system, which extracts and analyzes significant quantities of openly available information.
Large-scale research on quality of experience (QoE) algorithms
(Wydawnictwa AGH, 2013) Leszczuk, Mikołaj; Szczerba, Błażej; Głowacz, Andrzej; Derkacz, Jan; Dziech, Andrzej; Romaniak, Piotr
The large variety of video data sources means variability not only in terms of included content, but also in terms of quality.Therefore, quality assessment provides an additional dimension.The paper describes a comprehensive evaluation experiment on perceived video quality. Consequently, in summary, 19 200 000 video frames will be processed. Given the scale of the experiment, it is set up on a computer cluster in order to accelerate the calculations significantly. This work on Quality of Experience (QoE) is synchronized with that conducted by the Video Quality Experts Group (VQEG), in particular the Joint Efforts Group (JEG) – Hybrid group project.
Niching in evolutionary multi-agent systems
(Wydawnictwa AGH, 2013) Krzywicki, Daniel
Niching is a group of techniques used in evolutionary algorithms, useful in several types of problems, including multimodal or nonstationary optimization. This paper investigates the applicability of these methods to evolutionary multi-agent systems (EMAS), a hybrid model combining the advantages of evolutionary algorithms and multi-agent systems. This could increase the efficiency of this type of algorithms and allow to apply them to a wider class of problems. As a starting point, a simple but flexible EMAS framework is proposed. Then, it is shown how to extend this framework in order to introduce niching, by adapting two classical niching methods. Finally, preliminary experimental results show the efficiency and the simultaneous discovery of multiple optima by this modified EMAS.