Literaturliste

Anzahl der Treffer: 160
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Sakurai, Yoshitaka; Takada, Kouhei; Tsukamoto, Natsuki; Onoyama, Takashi; Knauf, Rainer; Tsuruta, Setsuo
A simple optimization method based on Backtrack and GA for delivery schedule. - In: IEEE Congress on Evolutionary Computation (CEC), 2011, ISBN 978-1-4244-7834-7, (2011), S. 2790-2797

http://dx.doi.org/10.1109/CEC.2011.5949968
Chiang, Feng-Kuang; Wuttke, Heinz-Dietrich; Knauf, Rainer; Sun, Chung-Shan; Tso, Tai-Cheng
Attitudes of German university students towards the integration of innovation information technology. - In: The international journal of engineering education, ISSN 0949-149X, Bd. 27 (2011), 2, S. 431-446

Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo
A data mining method for the optimization of learning processes. - In: Proceeding of the IRAST International Congress on Computer Applications and Computational Science (CACS 2010), ISBN 978-981-086846-8, (2010), S. 77-80

Knauf, Rainer; Sakurai, Yoshitaka; Takada, Kohei; Tsuruta, Setsuo
A knowledge engineering method to represent and optimize learning processes and its empirical validation. - In: Sixth International Conference on Signal-Image Technology and Internet Based Systems (SITIS), 2010, ISBN 978-1-4244-9527-6, (2010), S. 203-210

http://dx.doi.org/10.1109/SITIS.2010.43
Sakurai, Yoshitaka; Kinshuk; Takada, Kouhei; Kawabe, Takashi; Knauf, Rainer; Tsuruta, Setsuo
Evaluation of enriched cyberspace for adaptive support of remote collaboration. - In: Sixth International Conference on Signal-Image Technology and Internet Based Systems (SITIS), 2010, ISBN 978-1-4244-9527-6, (2010), S. 225-232

http://dx.doi.org/10.1109/SITIS.2010.46
Sakurai, Yoshitaka; Takada, Kouhei; Tsukamoto, Natsuki; Onoyama, Takashi; Knauf, Rainer; Tsuruta, Setsuo
Backtrack and restart genetic algorithm to optimize delivery schedule. - In: Sixth International Conference on Signal-Image Technology and Internet Based Systems (SITIS), 2010, ISBN 978-1-4244-9527-6, (2010), S. 85-92

http://dx.doi.org/10.1109/SITIS.2010.24
Sakurai, Yoshitaka; Kinshuk; Graf, Sabine; Zarypolla, Ardah; Takada, Kouhei; Knauf, Rainer; Tsuruta, Setsuo
Proposal and evaluation of adaptive multimedia utilization method for reliable web based collaboration. - In: Fifth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2009, ISBN 978-1-4244-5740-3, (2010), S. 385-392

Due to the geographical distribution, different cognitive capacity, and different domain competency of workers or learners, many misunderstandings can occur during Web based remote collaboration, leading to inefficient discussions and undesired results. - To overcome these problems, ag Multimedia adaptive utilization framework for dependable web based collaboration is proposed and evaluated. This assesses situations of remote users through fusing information of multiple biological sensors and the related contexts such as user profiles. Transmitting and using such information, the system adaptively supports Web based remote collaboration by stressing, warning, and presenting keywords/ summaries in multimedia. - Then, effects of adaptive keyword/summary presentation are evaluated as to cognitive profiles of users such as short term memory capacity and associative learning skills when misunderstanding possibilities are estimated on the Web. These evaluations totally demonstrate the feasibility and usefulness of the proposed method.



http://dx.doi.org/10.1109/SITIS.2009.67
Sakurai, Yoshitaka; Knauf, Rainer; Tsuruta, Setsuo
A search method that can dynamically learn user's subjective feeling. - In: Fifth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2009, ISBN 978-1-4244-5740-3, (2010), S. 221-227

http://dx.doi.org/10.1109/SITIS.2009.44
Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo; Takada, Kouhei
Empirical evaluation of a data mining method for success chance estimation of University Curricula. - In: IEEE International Conference on Systems, Man and Cybernetics (SMC), 2010, ISBN 978-1-4244-6586-6, (2010), S. 1127-1133

The paper deals with modeling, processing, evaluating and refining processes with humans involved like (not only, but also e-) learning. A formerly developed concept called storyboarding has been applied at a university to model the various ways to study at this university. Along with this storyboard, we developed a data mining technology to estimate success chances of curricula. Here, we introduce a validation method for this technology and its results. Further, we discuss chances to improve these results by implementing a formerly introduced learner profiling concept that represents the students' individual properties, talents and preferences for personalized data mining.



http://dx.doi.org/10.1109/ICSMC.2010.5642356
Sakurai, Yoshitaka; Takada, Kouhei; Tsukamoto, Natsuki; Onoyama, Takashi; Knauf, Rainer; Tsuruta, Setsuo
Inner random restart genetic algorithm to optimize delivery schedule. - In: IEEE International Conference on Systems, Man and Cybernetics (SMC), 2010, ISBN 978-1-4244-6586-6, (2010), S. 263-270

A delivery route optimization system greatly improves the real time delivery efficiency. To realize such an optimization, its distribution network requires solving several tens to hundreds (maximum 2 thousands or so) cities Traveling Salesman Problems (TSP) within interactive response time (around 3 seconds) with expert-level accuracy (below 3% level of error rate). To meet these requirements, an Inner Random Restart Genetic Algorithm (Irr-GA) method is proposed. This method combines random restart and GA that has different types of simple heuristics such as 2-opt and NI (Nearest Insertion). Including these heuristics, field experts and field engineers can easily understand the way and use it. Using the tool applying their method, they can easily create/modify the solutions or conditions interactively depending on their field needs. Experimental results proved that the method meets the abovementioned delivery scheduling requirements more than other methods from the viewpoint of optimality as well as simplicity.



http://dx.doi.org/10.1109/ICSMC.2010.5642248