Mitsuyoshi Nagao

A Face identification system based on the Mahalanobis-Taguchi System

In this paper, we propose a face identification system based on the Mahalanobis–Taguchi System (MTS). The MTS is one of the pattern recognition methods frequently used in quality engineering, and can perform robust pattern recognition by using training data, including noise. It is likely that this advantage will allow the effective implementation of a robust face identification system against lighting and face position fluctuations. Moreover, the MTS can optimize the number of attributes required for identification by using the orthogonal array and the signal/noise (SN) ratio. The face identification system has to deal with many users and the amount of data in a facial image is large. Therefore, the time required for identification can be decreased and the amount of data in the facial image database can be reduced by performing the optimization. We confirmed the effectiveness of the proposed system through practical experiments. The experimental results revealed that the MTS was an effective method for robust face identification, and could effectively reduce the number of attributes required for identification.

Analysis of Circular Tour Activity Based on GPS Log

In this paper, we propose an analysis method of circular tour activity based on GPS log in order to realize suitable tourism promotion for current tourism environment. In this research, especially, we focus on circular tour activity with rent-a-car because the number of rent-a-car users rapidly increases in Japan. The proposed method presumes basic activity information which includes the information about destinations and movements on circular tour based on GPS log. The analysis for circular tour activity is performed on the basis of the acquired basic activity information. In the proposed method, tourism attractiveness level on each city and major tour route for circular tour are analyzed on the basis of stochastic model. We confirm the effectiveness of the proposed method through the experiment using GPS log collected from actual tourists which perform circular tour in Hokkaido, Japan. In addition, we analyze circular tour activity in Hokkaido and discuss the analysis result.

MTS approach to facial image recognition

We propose a face identification system based on the Mahalanobis-Taguchi system (MTS). The MTS is one of the pattern recognition methods frequently used in quality engineering. The MTS can perform robust pattern recognition by using various training data including noise. It is likely that this advantage is effective for implementing the robust face identification system against the fluctuation of lighting and the position of the face. We confirm the effectiveness of the proposed system through computational experiments. The experimental results revealed that the robust face identification system could be implemented by using the MTS.

Reputational Damage to Tourism Industry from Earthquakes - Impact and Analysis of Mass Media Information

In the history of Japan, earthquakes have been a frequent occurrence, and some have caused considerable damage. The most recent major earthquake in Japan was the 2011 Tohoku Earthquake, which resulted in unprecedented damage in the country, including damage to a nuclear power plant. When large-scale earthquake disasters occur, direct physical damage to buildings and human causalities are the most visible result. In addition, neighboring tourist areas near the disaster zone receive reputational damage.

GPS Log Mining Method for Tourism Activity Analysis

Recently, tourism activity analysis has been required in order to construct effective tourism policy and strategy for personal tour which became the mainstream of Japan. In conventional tourism activity analysis, the information for analysis, i.e., tourism activity information, is collected on each tourist by using questionnaire, and then the analysis is carried out on the basis of it. However, it is difficult to realize effective tourism activity analysis in conventional method because the questionnaire-based information collection has difficulty in collecting accurate and detailed tourism activity information. In this paper, we propose a GPS log mining method in order to implement effective tourism activity analysis. GPS can automatically and continuously collect the position information where the GPS receiver exists. It is likely that an effective tourism activity analysis can be realized by extracting accurate tourism activity information from the information which is collected by GPS. We confirm the effectiveness of the proposed method through the experiments using the GPS log data collected from actual tourists in Hokkaido.