Naoki Ishibashi

Musashino University · Faculty of Data Science

In order to provide art exhibitions in a virtual space which integrates various data of an art museum and gives an emotional experience, the Virtual Art Exhibition System is proposed. This research uses a multi-database called Artizon Cloud to display museum data, combinate with technologies called Data Sensorium and Torus Treadmill to project imag...

This paper describes about project “Data Sensorium” launched at the Asia AI Institute of Musashino University. Data Sensoriumis a conceptual framework of systems providing physical experience of content stored in database. Spatial immersive display is a key technology of Data Sensorium. This paper introduces prototype implementation of the concept...

For dynamically integrating professional knowledge of curators, a multidatabase system architecture for an art museum, Artizon Cloud is proposed. A location based data provision is defined in the architecture for visitors. A system and applications are implemented and provided in an actual museum, and heterogeneous archives that were independently...

In this paper, an implementation method of an information credibility calculation system is introduced. This system objectively calculates information credibility by comparing target information with various information resources on World Wide Web and sensor data. Information credibility is calculated by the degree of objectivity. This paper shows...

Many standardization activities have been done for controlling and managing home networks and appliances during past ten years. Such activities include UPnP/DLNA, ECHONET and Continua Health Alliance and so on. However, there is no compatibility among those standards. To solve those problems, we have developed overlay networking protocols and devic...

In this paper, we show a design and implementation of hybrid device profile detection method, and its application to electricity saving. This method provides device detection by hybrid connection among various machine learning methods for time series data of electricity consumption from existing devices. In this paper, target devices are consumer d...

In this paper, a machine-machine communication model using human-human relationships in social media is presented, and a main feature of this model is that relationships between devices are extracted from social graphs of social network services. By using this method, devices are seamlessly interconnected according to users' relationships in their...