SVM integrated case based restarting GA for further improving solar flare prediction. - In: 2016 IEEE International Conference on Systems, Man, and Cybernetics, (2016), S. 004716-004723
Solar activity has various influences on the global environment. Specifically, it may have serious impacts on the Earth such as satellite damage, etc. and power plant failures causing more serious disaster. For a precise forecast of larger scale solar flares causing serious disaster, it is important to improve the space weather forecast, a daily forecast of the solar flare. In our work so far, a machine-learning algorithm called Support Vector Machine (SVM) was used. We extended this technology by integrating Case Based Genetic Algorithm (CBGA) for a more precise forecast. It was shown experimentally that triple mutation rate on the slowdown of evolution in our CBGA improves considerably (e.g. another 5%) more than original mutation rate in the True Skill Statistics TSS. For further obtaining the optimality towards more imbalanced data analysis applicable to the recognition of serious disaster or medical disease, Restart CBGA is proposed with its expected effect. Here GA integrating SVM is restarted using highly optimized but diversified solutions in the case base as initial individuals. Further this restart CBGA is repetitively and evolutionary performed, evolving and maintaining the case base by the result of each (restarted) GA.
https://doi.org/10.1109/SMC.2016.7844976
A dictionary-based sentiment classification method considering subject-predicate relation. - In: 2016 IEEE International Conference on Systems, Man, and Cybernetics, (2016), S. 004217-004222
In order to achieve enhanced credibility of social networking services such as twitter, it is necessary to (1) identify the topic and to (2) check, if the majority of the tweets having the same topic show the same opinion. Therefore, it is indicated to improve the accuracy for analyzing the caller's emotional expression of the "emotional polarity classification", which is used for opinion classification. For this reason, a semantic orientation acquisition technique is proposed, which integrates "another part-of-speech based semantic orientation dictionary" and a subject predicate relationship considered semantic orientation dictionary of phrases (semantic orientation table). As a feature of the proposed method, a semantic orientation of an adjective or predicate due to its greatest impact on identification semantic orientation of each tweet or document is determined. In addition, the dictionary is created by using tweets. Usual methods have problems with the opinion classification (90 % of the tweets are judged negative), but the proposed method has a more correct to negative judge rate of 60%. An integrated semantic orientation dictionary of phrases is used to improve precision of the classification.
https://doi.org/10.1109/SMC.2016.7844894
Solar flare prediction by SVM integrated GA. - In: 2016 IEEE Congress on Evolutionary Computation (CEC), ISBN 978-1-5090-0623-6, (2016), S. 4127-4134
Solar flare has various influences on the global environment, in particular on the magnetic storm and the likelihood of natural disasters. Specifically, it may have serious impacts on the Earth such as failure of satellite communication and navigation (GPS), satellite damage, increased radiation exposure to astronauts, geomagnetic storm and aurora, and power plant failures causing more serious disaster. For a precise forecast of larger scale solar flares causing serious disaster, it is important to improve the space weather forecast, which is basically a daily forecast of the solar flare. In the work so far, a machine-learning algorithm called Support Vector Machine (SVM) was used to forecast the space weather. We extend this technology by integrating Genetic Algorithm (GA) elaborately combined with Case Based Reasoning for more precise forecast or imbalanced data classification. Finally, basic evaluation of this architectural idea called CBGALO shows it is promising in improving solar flare prediction.
http://dx.doi.org/10.1109/CEC.2016.7744314
Highly enhanced context respectful counseling agent. - In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), ISBN 978-1-5090-0626-7, (2016), S. 2174-2181
A lot of IT workers suffer from stress in doing their work and there are a few counselors to help them. To cope with this problem, an enhanced context respectful counseling agent is proposed. This counseling agent extracts emotional words from clients' utterances throughout their dialogue to detect their changes and provides clients with such changes as dialogue summary. If no change is detected, it replies with clients' utterances' paraphrases followed by context-respectful prompts to dig/ narrow problems. Especially to continue the conversation towards clients' further reflection, our newly enhanced agent restricts or relates the topics with eventual and emotional words in dialogue sentences. Namely, it asks still context-respectful but self-disclosure type questions to understand the distressed client more correctly or more sincerely. Furthermore, it uses fuzzy reasoning to select an non boring response either from several digging prompts such as "more concretely", "say more", "please say it in detail", etc. or from several sentences in case of no matching of input utterance with the above mentioned paraphrasing patterns. Owing to this enhancement, clients keeping and deepening reflection on themselves without boring in conversation, reach more problem clarification and selfawareness, which enables them to solve their more difficult problems.
http://dx.doi.org/10.1109/FUZZ-IEEE.2016.7737962
Solar flare prediction by SVM integrated CBGA with dynamic mutation rate. - In: 2016 World Automation Congress (WAC), ISBN 978-1-889335-51-3, (2016), insges. 7 S.
http://dx.doi.org/10.1109/WAC.2016.7583029
IoT-aware online shopping system enhanced with gaze analysis. - In: 2016 World Automation Congress (WAC), ISBN 978-1-889335-51-3, (2016), insges. 6 S.
http://dx.doi.org/10.1109/WAC.2016.7583028
Nodding behavioral context respectful counseling agent. - In: 2016 World Automation Congress (WAC), ISBN 978-1-889335-51-3, (2016), insges. 6 S.
http://dx.doi.org/10.1109/WAC.2016.7583027
Equipping a context respectful counseling agent with a human-like voice synthesizer. - In: 2016 World Automation Congress (WAC), ISBN 978-1-889335-51-3, (2016), insges. 6 S.
http://dx.doi.org/10.1109/WAC.2016.7583031
A refined case based genetic algorithm for intelligent route optimization. - In: 11th International Conference on Signal-Image Technology and Internet-Based Systems, ISBN 978-1-4673-9721-6, (2015), S. 698-704
http://dx.doi.org/10.1109/SITIS.2015.36
Enhanced context respectful counseling agent. - In: 11th International Conference on Signal-Image Technology and Internet-Based Systems, ISBN 978-1-4673-9721-6, (2015), S. 246-253
http://dx.doi.org/10.1109/SITIS.2015.88