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Iwate, Japan

Iwate Prefectural University is a public university located in Takizawa, Iwate, Japan, founded in 1998. Wikipedia.


Prima O.D.A.,Iwate Prefectural University | Yoshida T.,Tohoku University
Geomorphology | Year: 2010

We used a digital elevation model (DEM) of Iwate Volcano, Japan to calculate slope and topographic openness for every geological unit in that area. Further, we conducted principal component analysis (PCA) and stepwise discriminant analysis (SDA) to evaluate statistical differences in the morphometric parameters of the geological units. We categorized the geological units according to their ages and their formation processes. The categorization based on formation processes was as follows: lava-flow/lava, central cone/stratocone, air fall deposit, pyroclastic flow deposit, volcanic fan deposit, and debris avalanche deposit. PCA allowed us to select geological units suitable for analysis, while SDA was used to select some morphometric parameters, which could explain the differences in the formation processes and ages of the geological units. We found that the formation processes correspond well to mean slope, and that the geological ages that control the degree of surface dissection correspond well to the standard deviations of slope and negative topographic openness. © 2009 Elsevier B.V. Source


Ko Y.-C.,Chung Hua University | Fujita H.,Iwate Prefectural University
Information Sciences | Year: 2016

The alternative selections or feasible sets in multi-attribute utility theory usually face problems of inaccuracy or inconsistency in weighting. Evidential weight and weight of evidence still have not resolved these problems in an efficient manner. This research proposes evidential weights of multiple preferences by using evidence and inference based on the rough set theory. An evidential probability, is constructed to resolve this weight. Technically, the evidential probability is required to satisfy the following conditions: uniqueness, independence and consistency, to identify various evidence and noise, and to provide quantities of certain evidence to resolve weights. Empirically, the resolved weights are fused into competitiveness utility for verification. A practical case successfully classifies dominating nations of World Competitiveness Yearbook. Another case analyzes the competitiveness trends of China during 1997 to 2012, predicting China will continue rising in near future. © 2016 Elsevier Inc. All rights reserved. Source


Ko Y.-C.,Chung Hua University | Fujita H.,Iwate Prefectural University | Tzeng G.-H.,National Taipei University | Tzeng G.-H.,Kainan University
Knowledge-Based Systems | Year: 2013

Information fusion is a known technique in enlightening features, patterns, and multiple criteria decision making. However, the decomposed information of the fusion has always been unknown, making its applications limited. This research proposes a fuzzy integral combined with a fitness fusion (named as the fuzzy integral fusion, FIF) to induce features and consequently reveal the decomposed information empirically illustrating the dominance benchmark and the fusion effect for approximations. For illustration, the proposed fuzzy integral fusion is applied on World Competitiveness Yearbook 2010 to analyze the European crisis nations (Greece, Italy, Portugal, Spain) and the European welfare nations (Denmark, Finland, Norway, Sweden). The results showed that the European crisis nations should improve their institution framework to effectively raise their business finance efficiency. © 2013 Elsevier B.V. All rights reserved. Source


Ko Y.-C.,Chung Hua University | Fujita H.,Iwate Prefectural University | Tzeng G.-H.,Kainan University | Tzeng G.-H.,National Chiao Tung University
Knowledge-Based Systems | Year: 2013

The fuzzy measure can highlight important information in analyzing component features, patterns, and trends. However, fuzzy densities and interaction effects are usually unknown or uncertain for implications thus making the fuzzy measure limited in applications. This research proposes an extended fuzzy measure to derive the conditional fuzzy densities from dominance-based rough set approach (DRSA), multiply preferences and the derived densities into utilities, fulfill fuzzy measure identification, and empower the fuzzy measure to aggregate utilities. For illustration, the extended fuzzy measure is applied on World Competitiveness Yearbook 2011 to imply policy-making information for Greece, Italy, Portugal, and Spain. © 2012 Elsevier B.V. All rights reserved. Source


Shibata Y.,Iwate Prefectural University | Uchida N.,Saitama Institute of Technology | Shiratori N.,Waseda University
IEEE Communications Magazine | Year: 2014

Recently serious natural disasters such as earthquakes, tsunamis, typhoons, and hurricanes have occurred at many places around the world. The East Japan Great Earthquake on March 11, 2011 had more than 19,000 victims and destroyed a huge number of houses, buildings, loads, and seaports over the wide area of Northern Japan. Information networks and systems and electric power lines were also severely damaged by the great tsunami. Functions such as the highly developed information society, and residents¿ safety and trust were completely lost. Thus, through the lessons from this great earthquake, a more robust and resilient information network has become one of the significant subjects. In this article, our information network recovery activity in the aftermath of the East Japan Great Earthquake is described. Then the problems of current information network systems are analyzed to improve our disaster information network and system through our network recovery activity. Finally we suggest the systems and functions required for future large-scale disasters. © 2014 IEEE. Source

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