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Publishing type：Research paper (scientific journal)   Publisher：Japanese Society for Information and Systems in Education  

DOI： 10.12937/itel.1.1.reg.p005

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Fuji Technology Press  

We propose a Healthy Eating Habits Support System (HEHSS) which considers user taste preferences and nutritional balance. The proposed system comprises a Nutritional Management System (NMS) and a Kansei Retrieval System (KRS). The NMS generates nutritionally balancedmenus using the tabu searchmethod. The KRS learns user taste preferences through interaction with a user, and then uses this information to recommend appropriate menus for that user from those generated by the NMS. Consequently, the HEHSS recommends menus that consider nutritional balance and match the user's taste preferences. Simulation results demonstrate that the HEHSS recommended menus that satisfied nutritional needs and learned a user's taste preferences with greater than 80% accuracy when we focused on liked and disliked tastes after continuous use for a long period (approximately 2 months).

DOI： 10.20965/jaciii.2018.p0097

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：SPRINGER  

We propose a Kansei retrieval agent (KRA) model with fuzzy reasoning as the basis for a Kansei retrieval system. In our system, the KRA learns user preferences on the basis of user evaluation of items from a large database. The system employs fuzzy reasoning for the KRA model to express user preferences by using the if-then rules and obtains user preferences using linguistic information. The proposed method optimizes membership function parameters, i.e., the center values and kurtosis of fuzzy reasoning, via user evaluation of various items by using a genetic algorithm. We performed a numerical simulation to demonstrate the effectiveness of the proposed method. In the simulation, we used pseudo users instead of real users and examined the evolutionary performance of the KRA with the proposed method. The results showed that the proposed method was effective in learning user evaluation criteria.

DOI： 10.1007/s40815-017-0360-8

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Language：English   Publisher：Japan Society of Kansei Engineering  

In this paper, we construct Kansei retrieval of clothing. This system is designed to search for user's clothing preference by considering their Kansei. Then, this system uses features of clothing images. In previous study, the features were 20 bits and extracted by image processing. However, these features aren't enough for Kansei retrieval. So, our proposal is Kansei retrieval of clothing on the basis of the features extracted automatically. This system is constructed with two neural networks. The first neural network is deep neural network that extracts the features. The second neural network identifies user's evaluation of clothing using the features. In this study, we verified the effectiveness of this system by a simulation. Result of the simulation showed this system was superior to the previous study in 46.65% increasing accuracy of imitating user's Kansei and 30.43% decreasing error of Kansei retrieval. Thus, the effectiveness of the proposed system was confirmed.

DOI： 10.5057/jjske.TJSKE-D-17-00003

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Language：English   Publisher：Japan Society of Kansei Engineering  

We propose a system to create designs that reflect multiple user preferences. When creating such designs, it is important to collect a significant number of user opinions and adopt them in the designs. However, as the number of users increases, the collection of opinions becomes more difficult. Therefore we propose a system using the paired comparison voting (PCV) method and digital signage. The PCV method obtains preferences from multiple users by voting. The proposed system presents designs for users using digital signage. Thus, the proposed system creates designs that please multiple users. Here, we experiment using the proposed system and demonstrate its effectiveness with real users. The experimental results show that the created designs became similar visually and genetically. As a result, we verified that the proposed system creates designs reflecting the preferences of multiple people.

DOI： 10.5057/jjske.TJSKE-D-16-00005

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Language：English   Publisher：Japan Society of Kansei Engineering  

In this study, we verify the effectiveness of a sympathy expression model for a bystander robot that we have proposed. Because the social nature of a robot is important for communicating with multiple people, we focus on a robot that is in a bystander position, which is unrelated to the communication between participants. In our proposed model, the bystander can express emotions cooperatively in a group by learning the expressiveness of others. To test this, we assume an interaction of three robots using a neural network-based emotion generation model. The bystander learns moral emotions on the basis of its emotions from the communication between a speaker and an addressee. We verify the effectiveness of the model using a psychological model to evaluate the bystander from the position of the speaker.

DOI： 10.5057/ijae.IJAE-D-15-00046

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

Existing music recommendation systems don't suit user subjectivity and are not naturally intuitive. We previously proposed a music recommendation system to address these problems. Our music recommendation system uses Kansei agents and a Kansei retrieval system. The Kansei agents employ a Kansei model and are characterized by a three-layered neural network. Music fluctuation properties are defined as inputs to the neural networks of the Kansei agents. Our previously proposed system returns recommendations based on user subjectivity. However, this system incurs significant user evaluation load. In this study, we introduce a distributed genetic algorithm (DGA) as an optimization method to address this problem. We compare the proposed DGA method to our previous method by simulation. The simulation results indicate that the proposed DGA method significantly outperforms previous method.

DOI： 10.1109/SCIS&ISIS.2016.162

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

We describe the effectiveness of a Kansei Retrieval Agent (KRA) model with Neural Network (NN) for retrieving user preference data. Our system evaluates KRAs using the user's evaluation and optimizes the KRA parameters using an evolutionary computation approach. While our previous study involved Kansei retrieval systems for T-shirts or music, the basic optimization performance of a KRA with NN was not examined. Therefore, in the present study, we investigate the effectiveness of the KRA model with an NN using numerical simulations. The simulation uses a pseudo user that imitates user preferences. We examine the quantization of evaluation values by the user and KRAs and compares the performances obtained using the particle swarm optimization and genetic algorithm methods. The simulation results show that the KRA model can learn user preferences.

DOI： 10.1109/SCIS&ISIS.2016.171

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

In this study, we propose a multimedia retrieval system framework using the Kansei retrieval agent (KRA) model to retrieve multimedia data. Our previous study involved recommender systems using the KRA model with reciprocal evaluation of each KRA and a hidden KRA model to optimize agent parameters; however, our previous method uses an interactive genetic algorithm (IGA) to optimize these parameters. Therefore, the performance and runtimes decreases with larger inputs. Then, in the present study, we use a hybrid IGA and simulated evolution (SimE) algorithm to improve optimization performance. Moreover, our proposed method employs rearrangement evaluation of multimedia data to reduce the evaluation load of users. Furthermore, we have verified the effectiveness of the proposed method via a numerical simulation using a pseudo-user that imitates user preferences. Our simulation results show that optimization performance of the proposed method is substantially higher than that of our previous method.

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Fuji Technology Press  

This study proposes a clothing-image retrieval system that considers a user's kansei, i.e., the user's emotional, physical, and aesthetical preferences. The system gradually learns the user's kansei by repeated interaction with the user, and can then search for corresponding clothing images. The practicality of the proposed system is confirmed in experiments with real users. It is found that the proposed system can retrieve clothing images that corresponded to the user's kansei.

DOI： 10.20965/jaciii.2014.p1044

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

We propose a system to create designs that reflect multiple user preferences obtained by voting using digital signage. When creating such designs, it is important to collect a significant number of user opinions and adopt them in the designs. However, as the number of users increases, the collection of opinions becomes more difficult. We propose an interactive evolutionary computation system using digital signage. This system presents several designs. Each user evaluates the designs by voting. In other words, this system obtains the preferences of multiple users by voting and uses the preferences to evaluate designs. Therefore, the proposed system can create designs that please multiple users. In our previous research, we proposed a paired comparison voting (PCV) method that obtains preferences from multiple users by voting and confirmed the effectiveness of the method by simulation. Here, we construct a system using the PCV method and digital signage to demonstrate its effectiveness with real users. The proposed system uses the PCV method to create designs. The experimental results show that the designs generated by the proposed system converged visually and genetically. As a result, we verified that the proposed system creates designs reflecting the preferences of multiple people.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

We verify the performance of the Kansei model in the Healthy Eating Habits Support System (HEHSS). In a previous study, we reported HEHSS, which considers user taste and health. In HEHSS, an NPD Kansei model expresses user taste. The model expresses P (Positive: like) taste, N (Negative: dislike) taste, and D (Don't care: neutral) taste for all items that make up recipes. The model then evaluates recipes on behalf of the user. To consider user taste, the NPD Kansei model must express user taste appropriately. However, in our previous study, we did not confirm the effectiveness of expressing user taste with the NPD Kansei model. Here, we verify the effectiveness of the model by performing an evaluation experiment using real users. The experimental results show that the NPD Kansei model is effective for expressing user taste.

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Fuji Technology Press  

In this paper, we propose an emotion model with growth functions for robots. Many emotion models for robots have been developed using Neural Networks (NN), which focus on the functions of emotion recognition, control, and expression. One problem that affects these emotion models for robots is the development of a "simplified" emotion generation algorithm. Users readily lose interest in "simple" systems. Most models have attempted to generate complex emotional expressions, whereas no previous studies have considered the "growth of a robot." Therefore, we propose a growth model for emotions based on changes in the network structure of a self-organizing map. We also applied a multilayer perceptron NN to generate more sophisticated expressions of emotion using growth functions. This model generated a similar behavior to the concept of affective change described in genetic psychology. Our results showed that this emotion model was more suitable for producing a robot with growth functions based on a psychological model.

DOI： 10.20965/jaciii.2013.p0335

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Institute of Electronics, Information and Communication, Engineers, IEICE  

We present an Interactive Tabu Search (ITS) algorithm to reduce the evaluation load of Interactive Evolutionary Computation (IEC) users. Most previous IEC studies used an evaluation interface that required users to provide evaluation values for all candidate solutions. However, user's burden with such an evaluation interface is large. Therefore, we propose ITS where users choose the favorite candidate solution from the presented candidate solutions. Tabu Search (TS) is recognized as an optimization technique. ITS evaluation is simpler than Interactive Genetic Algorithm (IGA) evaluation, in which users provide evaluation values for all candidate solutions. Therefore, ITS is effective for reducing user evaluation load. We evaluated the performance of our proposed ITS and a Normal IGA (NIGA), which is a conventional 10-stage evaluation, using a numerical simulation with an evaluation agent that imitates human preferences (Kansei). In addition, we implemented an ITS evaluation for a running-shoes-design system and examined its effectiveness through an experiment with real users. The simulation results showed that the evolution performance of ITS is better than that of NIGA. In addition, we conducted an evaluation experiment with 21 subjects in their 20 s to assess the effectiveness of these methods. The results showed that the satisfaction levels for the candidates generated by ITS and NIGA were approximately equal. Moreover, it was easier for test subjects to evaluate candidate solutions with ITS than with NIGA. Copyright © 2013 The Institute of Electronics, Information and Communication Engineers.

DOI： 10.1587/transinf.E96.D.673

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

This paper proposes a similar image retrieval for the Kansei retrieval. The Kansei retrieval system is designed to search for user's clothing articles by considering their Kansei. The system adopts a Kansei retrieval agent. The agent identifies users's choice of clothing by imitating their Kansei. However, the agent's structure can become excessively complicated because considerable information is potentially available. Therefore, a Kansei retrieval system needs to utilizes similar image retrieval. Similar image retrieval searches for a clothing image on the basis of clothing images. Clothing design contains less information than clothing image. A design includes features intended to create a general impression of piece of clothing. In addition, the Kansei retrieval agent evaluates the design, and searches for the designs that a user likes on the basis of the evaluation. Therefore, the agent's structure does not become complicated. In this study, we created a similar image retrieval application and verified it effectiveness. The application searches for clothing images on the basis of the design that a user chooses. The results show that similar image retrieval can identify clothing images similar to the design. Thus, the effectiveness of the proposed similar image retrieval system was confirmed.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

We describe the effectiveness of interactive evolutionary computation (IEC) with tournament-style evaluation to reduce the evaluation load of IEC users. Most previous studies did not clearly demonstrate the effectiveness of the tournament-style evaluation. Therefore, we implemented a tournament-style evaluation for a specific application and inspected the effectiveness of the IEC with tournament-style evaluation using an experiment with real users. We used three evaluation objects: music, animation, and image. We evaluated the performance of the following three methods. The first was a normal IGA (NIGA), which is a conventional 10-stage evaluation. The second was a tournament-style evaluation with two levels (T2), which evaluates only the superiority or inferiority of two candidates at a time. The third was a tournament-style evaluation with four levels (T4), which progressively evaluates the superiority or inferiority of two candidates. We inspected the effectiveness of these methods by simulation using an evaluation agent that imitated human preferences (or Kansei). The simulation results showed that the evolution performances of the NIGA and T2 are higher than those of the T4. Also, we inspected the effectiveness of these methods by an evaluation experiment with 42 subjects in their 20s. The experiment results showed that the satisfaction level for generated candidates were approximately equal among the NIGA, T2, and T4. Moreover, with the T2, it was easiest for test subjects to evaluate solution candidates than with the NIGA in all evaluation objects. And with the T4, it was easier for test subjects to evaluate solution candidates when the evaluation objects were music and image than with the NIGA.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

This paper proposes a method for the evaluation of online handwritten characters for a penmanship learning support system. In Japan, many people desire to write beautiful characters, as evidenced by the fact that correspondence courses on penmanship are very popular. However, correspondence courses lack real-time feedback because of the time required for sending materials, namely, the learner's copy and the teacher's correct result. Therefore, we have developed a penmanship learning support system that automatically evaluates the characters that a learner writes using a personal digital assistant (PDA). We examined the validity of our proposed character-evaluation method, and proved it to be valid.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

In this paper, we propose an information processing model for a kansei robot. This model handles memory based on human psychology. We expect that on incorporating the model, a robot can exhibit human characteristics because of using psychological memory. To verify the model, we first perform a comparison between the results of the experiment performed using this model and that of an actual psychological experiment. The results of the comparison suggest that the memory functions of the model are similar to the human memory functions. Second, we conduct the process of learning movement actions to verify that the robot on which the model was implemented learned movement for moving to many places and decreasing its curiosity.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

We propose an interactive tabu search (ITS) to be used for the development support of a product that fits a human's feeling. Interactive evolutionary computation (IEC) is one of the technologies used in the development support of products that fit a human's feeling using a computer and person undergoing a communication. The interactive generic algorithm (IGA) is generally used in the IEC. A major problem with the use of the IEC is the increased burden on the IEC user to evaluate multiple solution candidates. Using the ITS instead of the IGA may reduce this burden, because the ITS user chooses only his most favorite solution candidate among multiple solution candidates. We performed a comparison of the search performance using simulations with the ITS and IGA. As a result of this simulation, the search performance of the ITS exceeded that of the IGA by a range from 2% to 10%.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

This paper proposes a feature extraction method for online handwritten characters for a penmanship learning support system. This system has a database of model characters. It evaluates the characters a learner writes by comparing them with the model characters. However, if we prepare feature information for every character, information must be input every time a model character is added. Therefore, we propose a method of automatically extracting features from handwritten characters. In this paper, we examine whether it correctly identifies the turns in strokes as features. The resulting extraction rate is 80% and in the remaining 20% of cases, it extracted an area near a turn.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

This paper proposes an emotion-generation model for complex change using a chaotic neural network (CNN). Using a CNN, the proposed model will solve the problem of past studies that have indicated that robotic emotion changes are simplistic. The model uses the principle of an adaptation level, which is used in Russell's emotion model to generate emotion. This paper considers the effectiveness of this approach using simulation, and shows that the model can express a change of "adaptation". In addition, through the chaos of CNN, the proposed model can express different changes, even if the values of CNN's input values remain the same.

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Language：Japanese   Publisher：Japan Society of Kansei Engineering  

This paper proposes a method of optimizing <I>Kansei</I> retrieval agents for multimedia data retrieval system. The system has multiple agents, each of which has a different character, to retrieve various multimedia data. The agent has a <I>Kansei</I> model controlled by <I>Kansei</I> parameters and can change its emotional response by changing values of the parameters. The proposed system can retrieve data desired by the user if the agents are optimized to adapt them to the user's particular emotional responses. In the proposed method, the system uses Interactive Genetic Algorithms (IGA) to optimize the agents. Evaluation of each agent in IGA population is determined by the user's evaluation to multiple data retrieved by multiple agents. This paper proposes two advanced evolution methods for optimizing <I>Kansei</I> retrieval agents in IGA operation, which exhibit better performances in evolving <I>Kansei</I> models compared to previous method.

DOI： 10.5057/jjske.8.885

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Language：Japanese   Publisher：Japan Society of Kansei Engineering  

In this paper, we propose a behavior generation model for entertainment robot whose behavior seems to be living. Oneproblem of common entertainment robots is hard to generate various behaviors, because behaviors of the robots are generally madeby simple rule-based algorithms. The problem causes that the simplicity of the movement of the robot lets a user get tired soon. Inthis paper, we propose a behavior generation model based on principles of respondent conditioning and operant conditioning inbehavior analysis. The model has desire parameters and neural network for choosing a behavior. The desire parameters usually riseslowly and decrease by a specific behavior. Because the neural network learns the behavior decreasing more desire parameters, themodel can select spontaneously behavior. The result of behavior generation simulation shows the model has the feature of theirconditionings.

DOI： 10.5057/jjske2001.7.733

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Other Link： https://jlc.jst.go.jp/DN/JALC/00319136278?from=CiNii

Language：Japanese   Publisher：Japan Society of Kansei Engineering  

In this research, we try to develop a <I>Kansei</I> robot which can recognize color combination image that means "feelings about colors". In that robot, the color image evaluation system, which has developed in our previous research, is installed. By using the system the robot can evaluate feelings about some color combinations and express these impressions in various kinds of key words, such as pretty, casual and chic. In this paper, we developed a <I>Kansei</I> robot recognizing feelings about colors of clothing which a person put on and expressing these feelings in some key words.

DOI： 10.5057/jjske2001.7.741

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Other Link： https://jlc.jst.go.jp/DN/JALC/00319136285?from=CiNii

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

In this study, we improved the coloring support system that was proposed in our previous research. The previous system could advise color combinations for clothing. The user enters some emotional keywords, such as "casual" and "pretty," which are impressions put forth by colors, and the system retrieves color combinations that seem to suit the keyword from a color database. The proposed system has many fuzzy color emotion models, which are controlled by parameters for defining membership functions or fuzzy rules. These models are evolved using interactive genetic algorithms, to adapt them to the user's particular emotional responses, because human reactions vary for each individual. This paper proposes a method for the advanced evolution of the fuzzy color emotion model. This method supports co-evaluation of color combinations, which exhibits a better performance in evolving models compared to the previous method.

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Language：English   Publishing type：Research paper (scientific journal)  

As a preparation for image recognition and character recognition in image processing, it is often necessary to separate the target region from other regions. To extract the edges of an object, binarization with a Laplacian filter or a Laplacian-Gaussian filter has been widely used. Such a method has problems, however: for example, the extraction of noise rather than the real edges of an object
failure to extract parts of a visually noticeable edge
and difficulty in setting thresholds for edge extraction. To solve these problems, this paper proposes a multiple-valued image-contour extraction method using a 3-valued L-G filter or a 5-valued full-color extraction method. The effectiveness of the proposed method and the realization of a multiple-valued logic circuit are examined. © 2007 Wiley Periodicals, Inc.

DOI： 10.1002/scj.10467

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This paper proposes a method for quantitative evaluation of color harmony using a fuzzy reasoning. In the development of a system that evaluates color scheme quantitatively, it is important to clarify relationship between colors and their combination. In addition, it is also necessary to define some rules with relation to correlation between color scheme and color combination patterns.Therefore, this paper shows new approach to evaluate color harmony automatically. It uses some fuzzy sets to represent distribution of colors in hue and tone. Hue distribution types and tone distribution types are based on the color harmony theory proposed by Matsuda, and the system can evaluate harmony of three color combinations quantitatively using fuzzy rules based on the harmonious relationship between hue distribution type and tone distribution type. An experimental result shows that the result of quantitative evaluation using the system is similar to the questionnaire result about color harmony by human.

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Product design requires careful consideration of many factors. However, it is difficult for many developers to design a product that satisfies everybody because they have no idea ”What causes large number of people to like a specific product?” ”What fascinates them about the product?” or ”Which part or element of the design makes it attractive?” Generally, people like ”useful” products, but it is difficult to know what makes products easy to use. This paper proposes a method for investigating ”ease-of-use” by a fuzzy decision tree. It builds a decision tree based on the results of a questionnaire, which determines user's product impressions, and helps in discovering major factors that affect their ”ease-of-use.” In this paper, we analyzed golf clubs and investigated the factors that determine their specific ease-of-use, which is concerned with being able to hit golf balls easily. As a result, we obtained some reliable rules affecting user impressions using the fuzzy decision tree built from the questionnaire result.

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Language：Japanese   Publisher：Japan Society for Fuzzy Theory and intelligent informatics  

Chaotic Neural Network is well known as associative memory. In addition, it has an interesting behavior that it outputs some new interesting patterns with characteristics of multiple memorized patterns during remembrance process. This paper proposes a system that continues expressing new pattern which continue changing gradually while repeating memory and forgetfulness using the chaotic neural network. This system continues outputting new patterns by a rememorizing algorithm that replaces one of memorized patterns with new interesting pattern output by the system. In this way, the system continues remembering new patterns in sequence while changing characteristics of remembrance patterns gradually. It is expected to apply the system to the field of entertainment. In this paper, we make an application system that continues composing and playing music whose atmosphere has gradual change automatically. Some questionnaire results show that the system can compose music that is more interesting and more comfortable to some people than a simple music played repeating several measures melody.

DOI： 10.3156/jsoft.19.299

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Other Link： https://jlc.jst.go.jp/DN/JALC/00296246359?from=CiNii

Language：Japanese   Publisher：Japan Society of Kansei Engineering  

Recent years, developer of products emphasizes personal sensitivity, because a consumer come to selecthe product which is fit for oneself. In this paper, we studied ease-of-hitting and preference of a golf club by group method of date handling and neural network. At first, we selected a lot of adjectives which are well used in the case that golf players evaluate a golf club from the viewpoint of how easily he is able to hit a golf ball with it. Next we investigated values of many golf clubs from the viewpoint of the adjectives by questionnaire and analyzed the correlation between the ease-of-hitting and the adjectives. As a result, we got some rules to judge the ease-of-hitting and preference with golf clubs.

DOI： 10.5057/jjske2001.5.3_111

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Other Link： https://jlc.jst.go.jp/DN/JALC/00273596279?from=CiNii

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Language：Japanese   Publisher：Japan Society of Kansei Engineering  

In this paper, we propose an automatic composing system by using chaotic neural network. Chaotic neural network is possessed of a function as associative memory, so we apply the associative memory to automatic composition of melodies. User interface of proposed system "Chaotic Music Composer"is very simple and straightforward because an aim of the system is that it is pleasure to use it for people who aren't familiar with music composition and how to use computers. Users of the system can get some new melodies only by "selecting"and "listening"melodies which are given by the system. They select some favorite melodies from melody database, and put them into the system. The system divides the melodies into two elements, which are pitch of note and length of note, and memorizes those elements separately. The system generates pitch parts and length parts from inputted random patterns, and makes a piece of phrase compounded from two parts. In this way, user gets some phrase, and makes a piece of melody with arranging those phrases.

DOI： 10.5057/jjske2001.5.4_45

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Other Link： https://jlc.jst.go.jp/DN/JALC/00273403164?from=CiNii

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Language：Japanese   Publisher：The Institute of Electrical Engineers of Japan  

Japan is the eminent volcanic country in the world, and Suwanose-jima in Kagoshima and Mt. Asama in Gunma are puffing out smoke vigorously at present. In the past, the large-scale eruptions occurred in Sakura-jima and Unzen-Fugendake, and 10 percent of the energy in the earthquake and the volcano eruption of the whole earth is released in Japan. Therefore the prediction for the flow area of lava is very important. Then, we try to develop the simulation system which predicts the flow area of lava and the people want to use it at their homes. Because of this, our system must be able to use on a PC becoming popular in the present time. Our simulation technique can reduce the computing time using the simple way without considering the viscosity dynamics and so on. Also this system can show the simulation result with the three dimensional image and the animation using OpenGL. The user can view the area of the lava flow from the various angles, and we think that this is useful for the improvement of their conscience for the disaster prevention.

DOI： 10.1541/ieejeiss.124.1165

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Other Link： https://jlc.jst.go.jp/DN/JALC/00239530552?from=CiNii

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：INT INST INFORMATICS & SYSTEMICS  

In this paper, we propose an automatic music composing system by using chaotic neural network. Chaotic neural network is possessed of a function as associative memory, so we apply the associative memory to automatic composition of melody. User selects some melodies as he likes, and inputs into automatic music composing system. The music composing system divides the melodies into two elements, which are pitch of note and length of note, and memorizes those elements separately. The system generates pitch parts and length parts from inputted random patterns, and makes a piece of phrase compounded from two parts. In this way, user gets some phrase, and makes a piece of melody with arranging those phrases.

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Language：English   Publishing type：Research paper (scientific journal)  

In recent years, the traffic accident occurs frequently with explosion of traffic density. Therefore, we think that the safe and comfortable transportation system to defend the pedestrian who is the traffic weak is necessary. First, we detect and recognize the pedestrian (the crossing person) by the image processing. Next, we inform all the drivers of the right or left turn that the pedestrian exists by the sound and the image and so on. By prompting a driver to do safe driving in this way, the accident to the pedestrian can decrease. In this paper, we are using a background subtraction method for the movement detection of the movement object. In the background subtraction method, the update method in the background was important, and as for the conventional way, the threshold values of the subtraction processing and background update were identical. That is, the mixing rate of the input image and the background image of the background update was a fixation value, and the fine tuning which corresponded to the environment change of the weather was difficult. Therefore, we propose the update method of the background image that the estimated mistake is difficult to be amplified. We experiment and examines in the comparison about five cases of sunshine, cloudy, evening, rain, sunlight change, except night. This technique can set separately the threshold values of the subtraction processing and background update processing which suited the environmental condition of the weather and so on. Therefore, the fine tuning becomes possible freely in the mixing rate of the input image and the background image of the background update. Because the setting of the parameter which suited an environmental condition becomes important to minimize mistaking percentage, we examine about the setting of a parameter. © 2004, The Institute of Electrical Engineers of Japan. All rights reserved.

DOI： 10.1541/ieejeiss.124.1575

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Language：Japanese   Publisher：The Institute of Image Information and Television Engineers  

DOI： 10.11485/itetr.27.8.0_29

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

In this paper, we propose a system named "Virtual Stylist", which aims to help users find out their favorite clothes, which might fit them well. The system is composed of 3 parts as follows, 1) searching clothes in consideration of their color scheme harmonies and image sensations, 2) adopting rules for evaluating color scheme image sensations to a specific user&apos;s feeling of color images, 3) virtual fitting system. The system searches through clothes database for some clothes on the basis of the harmony and sensation of colors that are used in them. In the case that a user require a jacket and pants which she might wear with her own shirt, the system search for some jacket and pants whose colors are in harmony with the color of her shirt and with which the color scheme image sensation seems to fit her imagination of dressing. The system posses some function that the rules for evaluating color image sensations, which are controlled by some simple parameters are automatically changed and adjusted to user&apos;s emotion. We achieved a way with which the system is real-time adapted to user&apos;s subjectivity with Interactive Genetic Algorithms.

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

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Language：Japanese   Publisher：Japan Society of Kansei Engineering  

It is difficult for developer of products to investigate which part and element of a product is closely related to its attraction and ease-of-use. So we propose a method which investigates what has an influence on facility and preference with a product by adopting C4.5, which is a useful algorithm for building decision tree. In this paper, we investigate what viewpoint a golf player values ease-ofhitting with golf clubs from. At first, we selected a lot of adjectives which are well used in the case that golf players evaluate a golf club from the viewpoint of how easily he is able to hit a golf ball with it. Next we investigated values of many golf clubs from the viewpoint of the adjectives by questionnaire and analyzed the correlation between the ease-of-hitting and the adjectives. As a result, we got some rules to judge the ease-of-hitting and preference with golf club.

DOI： 10.5057/jjske2001.2.2_65

CiNii Books

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Other Link： https://jlc.jst.go.jp/DN/JALC/00163645575?from=CiNii

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

Color design is very important for a product design. In this paper, we propose a system which aims to support such a color design. Proposed system is composed of 5 parts, such as the part which evaluates the harmony of colors, the color combining part, color scheme image judging part, image word output part and lastly image comparison part. First, the system requires the user to input a color and his preferring image of color scheme including his inputting color with image keyword. Next, the system selects colors from the Munsell color database, which are in harmony with the color inputted into the system. Then, the system builds color schemes to combine the color inputted by the user with the colors selected from the database by the system. Finally, images of the color schemes are evaluated and outputted the color combinations whose Images accord with the image keyword which the user inputs into the system. Experimental result shows that effective judgments of color harmony and color image are executed and we can get some good color schemes by the system.

Web of Science

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Language：Japanese   Publisher：Japan Society of Kansei Engineering  

In this paper, we propose the interactive harmonization system using Kansei words. Novice arrangers who master very little musical knowledge can conpose accompaniment chords to their own melody with their image of the music. The proposed system implements interpretation of the melody, determination the tonality of the phrases and creation accompaniment chords by using fuzzy rules based on the musical knowledge. We institute image analysis of accompaniment chords with SD method to express them with image words and consider the function to change the accompaniment choeds with arranger's image of music.

DOI： 10.5057/jjske2001.1.2_73

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Other Link： https://jlc.jst.go.jp/DN/JALC/00123949101?from=CiNii

Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

In this paper, we examine treating the subjectivity of the individual in the color coordinate evaluating system which we proposed previously. This system automatically judges the image of color scheme by the fuzzy rules based on the knowledge of the color combination image judgment, and it is confirmed by our previous report that the result of the color image judgment by the system is mostly in conformity with the Color Image Scale proposed by the Nippon Color&Design Research Institute. Since the parameters which define the membership functions and fuzzy rules for the image evaluation by the system can by changed easily as an user likes, it is expected that the system can be specialized to the image judgment for a specific user. Then, in this paper, we investigates an individual color image by the questionnaire about the color image and the word image, and try optimizing the parameters and the fuzzy rules for image evaluation by the system so that the image judgment by the system is in conformity with the individual color image.

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Language：Japanese  

CiNii Books

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In this paper, we propose the system which evaluates color coordination by using the image words. The system aims at supporting the coloring design of the product.The system is composed of following three parts, 1. the judgment of the image with each color used for the coloring, 2. the judgment of the image of color combination, 3. the expression of the image of color combination in the image word.The system uses the fuzzy rules defined by the relation between the color image and the image words. The fuzzy rules which the system uses are based on the model developed at the Nippon Color&Design Research Institute which is one of the knowledge used in the color design field.

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Language：Japanese   Publisher：Japan Society for Fuzzy Theory and intelligent informatics  

The purpose of this paper is to propose a user interface using the expert system. This user interface is loaded in the interactive harmonization system. The user interface reflects the ambiguousness contained in the system and the user's subjectivity and taste in the technical work. Each membership function, which is defined by the control parameter specified by the user and based on seven pieces of technical musical knowledge, is used for this harmonization system. By changing the value of the control parameter according to the experimental music and examining the result, we find another natural accompaniment chord.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE COMPUTER SOC  

We propose fuzzy reasoning to put harmony to melody in automatic harmonization system. We I-rave been considering: the following fuzzy sets and membership functions in the system. The system has two fuzzy sets of "conformability between melody and tonality" as the degree of fitness mu(A)(y(n)) and "conformability between tonality and relative keys" as the degree of fitness mu(T)(y(n)). The degree of fitness mu(C)(y(n)) for each tonality is obtained from mu(A)(y(n)) and mu(T)(y(n)). The system has two fuzzy sers of "conformability between melody and chord" as the degree of fitness mu(Mi)(x(m)) and "validity of chord progression" as the degree of fitness mu(Pi)(x(m),x(i-1)). The degree of fitness mu(Qi)(x(m)) for chord in melody i section is obtained from mu(Mi)(x(m)) and mu(Pi)(x(m),x(i-1)). mu(Mi)(x(m)) is obtained from three membership functions of mu(chord-A)(note), mu(chord-B)(note) and mu(chord-C)(note) which show an importance to each chord in each note, and mu(note) which is a relative importance about an existence time of each note, and mu(MS)(note) which shows a relative importance. mu(Pi)(x(m), x(i-1)) is obtained from three membership functions of mu(FC)(x(m)) shows an importance of each function chord, and mu(FP)(x(m)) which shows a strength of the dominant motion of the function chord, and mu(s)(x(m),x(i-1)) which shows a progression sense between two neighbor chords. It is shown in the good results that the natural chords, which don't break the tonality of the music, are achieved.

Web of Science

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

It is very difficult in the music harmonization system of the modern popular music that the complicated music, that have the chord progression and the key change reflected in the music theories and arranger's personality, are composed by using the techniques of artificial intelligence and neural network.In this paper, we propose a musical arrangement system using fuzzy reasoning by max-min operation in two fuzzy sets. There are the parts consisting of some bars in the melody of the music. Each part has tonality very related to images of music. Then, we make a chord progression fit to the tonality of each part by taking notice of the importance of each note constructing a melody. The two sets are classified with (1)”fitting a chord to a melody” and (2)”propriety of a chord progression according to considering music theory. We get the parameters of the sets from the shapes of the membership functions, which are changed by arranger's feeling and experience. We have the good natural chord progression without inharmoniousness by using the reasoning. It is shown in the experimental results that the tonality takes advantage of the reasoning to propose the final chords.

CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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Language：Japanese   Publisher：関西大学先端科学技術推進機構  

CiNii Books

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CiNii Books

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CiNii Books

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CiNii Books

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CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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Language：Japanese   Publisher：関西大学先端科学技術推進機構  

CiNii Books

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CiNii Books

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CiNii Books

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CiNii Books

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CiNii Books

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CiNii Books

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CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

The purpose of this system is to reproduce the environment of the penmanship classroom in the home. Therefore, we suggested the print automatic evaluation algorithm. The learner can learn it with this function efficiently. As a result, we can learn penmanship freely without being limited to place and time. We examine the effect of this system about a print evaluation.

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

The penmanship learning lecture has a problem that a difference produces for learning effects by the understanding of the character model of the students. For solving this problem, penmanship teacher adds additional lines to the character model and supplements by displaying the point that hard to express by words visually, but the students can not understand the information. In this paper, we examine the learning effects of the character model supporting understanding of the visual information that attached great importance to animation and view point.

CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese  

CiNii Books

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CiNii Books

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CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：関西大学学術フロンティア・センター  

CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：関西大学  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

In this paper, we create the traffic simulation in order to evaluate the traffic state of the city road network at the time of a calamity. The operation state of a car-agent is observed, and it makes it an evaluation value which for the agent to have satisfied to traffic at the time of a calamity, and is searching for the optimal restoration order by the maximum slope method and the Taboo search.

CiNii Books

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Language：Japanese   Publisher：関西大学学術フロンティア・センター  

CiNii Books

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Language：Japanese   Publisher：関西大学学術フロンティア・センター  

CiNii Books

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Language：Japanese   Publisher：関西大学学術フロンティア・センター  

CiNii Books

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Language：Japanese   Publisher：関西大学学術フロンティア・センター  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

Genetic algorithm (GA) is one of the influential algorithm about the optimization problem. In GA, the way of coding and making an initial individual group occur to the gene line (the individual) by the random number in the individual candidacy is most. Then, it is searching an individual by repeating genetic operation such as the crossover and the mutation of each indivudual. But it causes the problem to fall into the local minimum, and so on, and the individual which is gotten by once attempt is not good sometimes. On the other hand, solving the problem, the study of the parallel GA which divides an individual group into some unification to resist falling into the local minimum is popular, too. But it sometimes falls into the local minimum after all even if using the parallel GA. In this paper, we propose the IGA-SA method which escapes from the local minimum even if it falls into it and generates the better individual group. Then, the result of the simulation, we could confirm the effectivity of the IGA-SA method from the time when the individual search by IGA piles.

CiNii Books

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Other Link： http://id.nii.ac.jp/1001/00033388/

Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：関西大学先端科学技術推進機構  

CiNii Books

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Language：Japanese   Publisher：関西大学学術フロンティア・センター  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

About 60% of the accident is an accident near intersection. Also, to recognize a pedestrian on the crosswalk automatically in aging society's approaching, and to inform a vehicle driver about the existence and to prevent an accident from happening are important on the commonweal. Therefore, we propose the safe driving support system using an improvement-type background fimite difference method. In this report, we examine about the optimization of the parameter to reduce mistaking. Moreover, we divided in case of the condition of weather and sunlight by the brightness change percentage to use optimization parameters..

CiNii Books

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J-GLOBAL

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Because it is complicated how to use the finger as compared with the other musical instrument about the piano, it is difficult that we acquire the ability of playing the piano by the self-education. Therefore, we propose the support system that is made to be able to play the piano, even if we can't go to the piano classroom. In this paper, we give the numbers of the finger to the scorebook that has no numbers of the finger. These numbers of the finger are facilitating the practice of playing the piano. Therefore, we get the necessary note data from the note of the scorebook, that is using in the practice of playing the piano, as the computer input data of this system. The numbers of the finger, that indicate what keyboard to flick using what finger based on this note data, are generated by using the genetic algorithm.

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Language：Japanese   Publisher：The Japan Society of Mechanical Engineers  

It was examined about Kansei information processing by using the result of SD method and the design value of the golf club are examined about the system using the neural network by this research. Because it changes by the various factors such as a human taste and habit, physical condition, it isn't easy to search for direct relations with the amount of physics as for the sensitivity evaluation. And, when designer make a new product at present, he decides some design values and make prototype based on this. This research enforced the process easily and efficiently.

DOI： 10.1299/jsmesports.2001.0_89

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Other Link： http://id.ndl.go.jp/bib/9595048

Language：Japanese   Publisher：関西大学学術フロンティア・センタ-  

CiNii Books

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CiNii Books

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CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：関西大学  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

This paper explains a system which enables an inexperienced player to practice playing the piano without the presence of any teachers. This system generates numbers that guide the player on which fingers to use to play the song from the scorebook. From these data generated, Graphic Animation files are created, which are projected onto the keyboard of the electronic piano, using a video projector and a reflecting mirror. The player can practice on the piano by pressing only those keys highlighted by the projector system.

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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Language：Japanese   Publisher：関西大学学術フロンティア・センター  

CiNii Books

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Event date： 2020.3

Venue：福岡  

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Venue：福岡  

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Venue：オンライン開催  

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Venue：オンライン開催  

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Venue：Hanoi, Vietnam  

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Event date： 2019.12

Venue：Xiamen, China  

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Venue：Jeju, Korea  

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Venue：Jeju, Korea  

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Venue：Kenting, Taiwan  

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Venue：Jeju, Korea  

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Venue：Jeju, Korea  

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Venue：Jeju, Korea  

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Venue：Jeju, Korea  

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Venue：Jeju, Korea  

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Event date： 2019.9

Venue：岡山  

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Venue：東京  

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Venue：大阪  

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Venue：札幌  

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Venue：札幌  

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Venue：札幌  

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Venue：札幌  

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Venue：札幌  

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Event date： 2018.12

Venue：Toyama, Japan  

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Venue：富山  

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Venue：富山  

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Event date： 2018.9

Venue：名古屋  

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Venue：名古屋  

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Venue：名古屋  

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Venue：福岡  

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Venue：名古屋  

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Venue：名古屋  

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Venue：東京  

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Venue：Las Vegas, USA  

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Venue：Las Vegas, USA  

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Venue：Spokane, WA, USA  

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Venue：Spokane, WA, USA  

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Venue：名古屋  

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Venue：名古屋  

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Venue：名古屋  

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Venue：Kuching, Sarawak, Malaysia  

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Venue：Honolulu, Hawaii, USA  

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Venue：熊本  

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Venue：熊本  

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Venue：熊本  

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Venue：Honolulu, Hawaii, USA  

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Venue：Daegu, Korea  

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Venue：Daegu, Korea  

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Venue：山形  

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Venue：Vancouver, Canada  

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Venue：Vancouver, Canada  

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Event date： 2017.6

Venue：Otsu, Japan  

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Venue：Otsu, Japan  

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Venue：大阪  

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Venue：秋田  

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Venue：Tokyo, Japan  

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Venue：大阪  

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Venue：東京  

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Event date： 2016.12

Venue：大分  

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Venue：大分  

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Venue：兵庫  

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Venue：東京  

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Venue：東京  

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Venue：Sapporo, Hokkaido, Japan  

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Venue：Sapporo, Hokkaido, Japan  

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Venue：佐賀  

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Venue：佐賀  

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Venue：Toronto, Canada  

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Venue：神戸  

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Venue：神戸  

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Venue：神戸  

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Venue：神戸  

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Event date： 2015.11

Venue：Mokpo, Korea  

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Venue：Mokpo, Korea  

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Venue：東京  

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Event date： 2015.11

Venue：Mokpo, Korea  

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Venue：Mokpo, Korea  

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Event date： 2015.9

Venue：東京  

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Event date： 2015.9

Venue：東京  

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Event date： 2015.9

Venue：東京  

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Event date： 2015.9

Venue：Qinhuangdao, China  

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Event date： 2015.9

Venue：東京  

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Venue：東京  

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Event date： 2015.3

Venue：Tokyo, Japan  

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Venue：Tokyo, Japan  

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Event date： 2014.12

Venue：Orlando, Florida, USA  

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Event date： 2014.12

Venue：Kitakyusyu, Japan  

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Event date： 2014.12

Venue：Orlando, Florida, USA  

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Event date： 2014.11

Venue：Puert Prinsesa, Palawan, Philippines  

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Event date： 2014.11

Venue：Puert Prinsesa, Palawan, Philippines  

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Event date： 2014.9

Venue：高知  

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Event date： 2014.9

Venue：高知  

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Event date： 2014.9

Venue：高知  

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Event date： 2014.9

Venue：東京  

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Event date： 2014.9

Venue：高知  

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Event date： 2014.6

Venue：Crete, Greece  

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Event date： 2014.6

Venue：Linköping, Sweden  

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Event date： 2014.6

Venue：Crete, Greece  

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Event date： 2014.3

Venue：新潟  

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Event date： 2013.11

Venue：Daejeon, Korea  

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Event date： 2013.11

Venue：Daejeon, Korea  

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Event date： 2013.11

Venue：Daejeon, Korea  

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Event date： 2013.10

Venue：福島  

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Event date： 2013.9

Venue：東京  

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Venue：東京  

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Event date： 2013.9

Venue：大阪  

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Event date： 2013.9

Venue：大阪  

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Event date： 2013.9

Venue：大阪  

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Event date： 2013.9

Venue：大阪  

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Event date： 2013.9

Venue：大阪  

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Event date： 2013.9

Venue：東京  

招待講演

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Event date： 2013.7

Venue：Las Vegas, Nevada, USA  

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Event date： 2013.7

Venue：Las Vegas, Nevada, USA  

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Event date： 2013.7

Venue：Las Vegas, Nevada, USA  

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Event date： 2013.6

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Event date： 2013.3

Venue：福岡  

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Event date： 2013.3

Venue：福岡  

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Event date： 2013.3

Venue：福岡  

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Event date： 2013.3

Venue：福岡  

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Event date： 2012.12

Venue：大阪  

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Event date： 2012.12

Venue：大阪  

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Event date： 2012.12

Venue：大阪  

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Event date： 2012.11

Venue：Koabe, Japan  

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Event date： 2012.11

Venue：Koabe, Japan  

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Event date： 2012.11

Venue：Koabe, Japan  

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Event date： 2012.11

Venue：Koabe, Japan  

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Event date： 2012.11

Venue：Koabe, Japan  

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Event date： 2012.10

Venue：長野  

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Event date： 2012.9

Venue：名古屋  

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Event date： 2012.9

Venue：名古屋  

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Event date： 2012.9

Venue：名古屋  

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Event date： 2012.8

Venue：東京  

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Event date： 2012.8

Venue：東京  

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Event date： 2012.8

Venue：東京  

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Event date： 2012.8

Venue：東京  

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Event date： 2012.6

Venue：Brisbane, Australia  

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Event date： 2012.5

Venue：Penghu, Taiwan  

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Event date： 2012.3

Venue：岡山  

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Event date： 2012.3

Venue：岡山  

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Event date： 2011.11

Venue：神戸  

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Event date： 2011.10

Venue：Suwon, Korea  

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Event date： 2011.10

Venue：Suwon, Korea  

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Event date： 2011.10

Venue：Suwon, Korea  

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Event date： 2011.10

Venue：Suwon, Korea  

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Event date： 2011.10

Venue：山梨  

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Event date： 2011.10

Venue：Suwon, Korea  

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Event date： 2011.10

Venue：Suwon, Korea  

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Event date： 2011.9

Venue：東京  

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Event date： 2011.9

Venue：東京  

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Event date： 2011.9

Venue：東京  

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Event date： 2011.9

Venue：福井  

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Event date： 2011.9

Venue：福井  

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Event date： 2011.9

Venue：福井  

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Event date： 2011.9

Venue：福井  

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Event date： 2011.7

Venue：Orlando, Florida, USA  

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Event date： 2011.3

Venue：福岡  

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Event date： 2011.3

Venue：大阪  

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Event date： 2011.3

Venue：福岡  

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Event date： 2011.3

Venue：福岡  

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Event date： 2011.3

Venue：大阪  

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Event date： 2011.3

Venue：大阪  

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Event date： 2011.3

Venue：大阪  

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Event date： 2011.3

Venue：大阪  

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Event date： 2011.3

Venue：大阪  

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Event date： 2010.12

Venue：Okayama, Japan  

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Event date： 2010.12

Venue：Okayama, Japan  

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Event date： 2010.11

Venue：滋賀  

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Event date： 2010.11

Venue：滋賀  

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Event date： 2010.11

Venue：滋賀  

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Event date： 2010.11

Venue：滋賀  

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Event date： 2010.10

Venue：奈良  

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Event date： 2010.9

Venue：広島  

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Event date： 2010.9

Venue：COEX seoul, Korea  

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Event date： 2010.9

Venue：COEX seoul, Korea  

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Event date： 2010.9

Venue：広島  

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Event date： 2010.9

Venue：広島  

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Event date： 2010.9

Venue：広島  

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Event date： 2010.9

Venue：広島  

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Event date： 2010.9

Venue：COEX seoul, Korea  

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Event date： 2010.9

Venue：COEX seoul, Korea  

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Event date： 2010.9

Venue：滋賀  

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Event date： 2010.9

Venue：東京  

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Event date： 2010.3

Venue：Paris, France  

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Event date： 2010.3

Venue：大阪  

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Event date： 2010.3

Venue：大阪  

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Event date： 2010.3

Venue：大阪  

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Event date： 2010.3

Venue：大阪  

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Event date： 2009.11

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Event date： 2009.11

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Event date： 2009.7

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