Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2012
Artificial Intelligence (incl. Robotics).
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Abstractedited by Roger Lee.
From the Contents: Evaluation of secular changes in statistical features of traffic for the purpose of malware detection -- A Comparative Study in the Bump Hunting between the Tree-GA and the PRIM -- Back-to-Back Testing Framework Using a Machine Learning Method.-StenoCipher to Provide Data Confidentiality and Tampered Data Recovery for RFID Tag -- Multimedia Stream Rate Control over MANET Based on Router Feedback -- Multivariate Regression Modeling for Home Value Estimates with Evaluation using Maximum Information Coefficient.
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EVALUACIÓN DE LOS APRENDIZAJES EN INGENIERÍAYanko Ossandón Núñez; Víctor Barrientos Núñez (Universidad de Tarapacá, 2003-06-01)Los académicos investigadores compartirán los resultados de la utilización de un sitio de educación a distancia como elemento de apoyo al proceso de enseñanza aprendizaje de alumnos de la Facultad de Ingeniería de la Universidad de Tarapacá. Utilizando una plataforma de software propia, se instaló en ella un módulo educativo con el fin de medir la efectividad del aprendizaje no presencial respecto de los mismos contenidos en la modalidad presencial.<br>The research team will share the results of the utilization of an Educational Virtual Site for Distance Education as a supportive platform for the process of teaching and learning. The experience was applied to students of the Faculty Engineering at the Universidad of Tarapacá, Arica, Chile. An Educational virtual module was installed on this institutional platform as a way to measure the effectiveness of virtual learning as opposed to a face to face learning, in relation with the same contents.
Business Intelligence & Knowledge Management - Technological Support for Strategic Management in the Knowledge Based EconomyDorel PARASCHIV; Irina PUGNA; Felicia ALBESCU (Inforec Association, 2008-01-01)The viability and success of modern enterprises are subject to the increasing dynamic of the economic environment, so they need to adjust rapidly their policies and strategies in order to respond to sophistication of competitors, customers and suppliers, globalization of business, international competition. Perhaps the most critical component for success of the modern enterprise is its ability to take advantage of all available information - both internal and external. Making sense of all this information, gaining value and competitive advantage through represents real challenges for the enterprise. The IT solutions designed to address these challenges have been developed in two different approaches: structured data management (Business Intelligence) and unstructured content management (Knowledge Management). Integrating Business Intelligence and Knowledge Management in new software applications designated not only to store highly structured data and exploit it in real time but also to interpret the results and communicate them to decision factors provides real technological support for Strategic Management. Integrating Business Intelligence and Knowledge Management in order to respond to the challenges the modern enterprise has to deal with represents not only a "new trend" in IT, but a necessity in the emerging knowledge based economy. These hybrid technologies are already widely known in both scientific and practice communities as Competitive Intelligence. In the end of paper,a competitive datawarehouse design is proposed, in an attempt to apply business intelligence technologies to economic environment analysis making use of romanian public data sources.