Daily life behavior modeling is discussed. This modeling framework consists of statistical learning, probabilistic reasoning, user modeling, and large-scale data collecting technologies. Bayesian networks can represent causality relationship as graphical structures. Such models should include situations and contexts of daily life behavior through real services. In order to collect large-scale data connected with them, we have to provide real services supported by many users. This concept is named " Research as a service " and discussed in this paper.

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Reference materials are indispensable for accurate analysis of hazardous substances in food and the environment. For organic substances, however, the dissemination of reference materials is hopelessly unable to catch up with today's rapidly proliferating analytical needs. To solve this problem, analytical techniques were improved to develop a method in which a single primary reference material could provide accurate quantitative measurements for a wide variety of organic compounds. In pursuit of this goal, we turned our attention to the 1H NMR method. We improved upon the method to allow precise comparisons of signal quantities from protons with different chemical shifts, enabling calibration at an acceptable level of uncertainty for a variety of organic reference materials using a primary reference material for protons. This result opens the prospect of highly efficient metrological traceability, reducing the required number of national reference materials to a minimal level.

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In order to bring change to society through technological developments, analysis of the social acceptance of a given technology is indispensable. In this research, we developed a model that includes the effects of the diffusion of environmentally conscious products. To analyze the long term diffusions and to analyze the effects of various diffusion promoting measures, we have incorporated three existing models: the Bass diffusion model, the consumer preference model, and the learning curve model. These models have been argued for individually to date. The paper describes the research objective, existing models, the developed model, the related developed tools, and an analysis example.

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In this paper, we report on the design and implementation of the GEO (Global Earth Observation) Grid IT infrastructure as an example of E-Science. Using Grid technologies, the GEO Grid provides an IT infrastructure that integrates wide varieties of data sets and computing services for the Earth science community. This paper presents an example of Grid-based E-Science and its application to a wide range of scientific communities. A methodology for system development based on many different software components is also discussed.

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For ubiquitous-energy devices, the development of well-performing functional materials is the key issue. Effective collaboration between development researchers and researchers carrying out basic materials analysis using electron microscopy observations, surface-science observations and theoretical calculations is of great importance. We have previously discussed the role of basic materials research in out discussion of full research and have made efforts to carry out a successful collaboration. To this end, we have attained valuable contributions to materials development as well as high-level scientific achievements as substantiated by numerous awards through the development of original observational and calculation techniques relating to the positive electrode material of Li-ion batteries, the electrode catalysts of proton-exchange fuel cells and gold/oxide catalysts.

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A methodology of process intensification was discussed through the concept of " detuning " from the ideal state, especially for the energysaving continuous distillation processes, which are typical energy consumer in the chemical and petrochemical industries. First, the reversible distillation was shown as the thermodynamically ideal state. Then, it was indicated that several energy efficient modifications of distillation processes can be obtained by " detuning " simplifying the reversible system. Among these modifications, an internally heat-integrated distillation column (HIDiC) was one of the most promising options. The development of the HIDiC in the national projects was reviewed and the reduction of energy consumption by the HIDiC was estimated to be 60 % of the conventional column from the results of the projects.

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Every year, several millions compounds for drug screening have been released by many vendors in the world, however, the structural information released on these compounds is limited to 2D. We have developed a software system to generate a database of 3D structures of these compounds and have distributed our database. We have also developed a database of protein-compound docking scores for 180 proteins for these millions compounds. Based on these databases, we have found new active compounds for many drug targets.

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[in Japanese]

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[in Japanese]

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