Case study

NAIST drives forward with multidimensional Big Data analysis

Affiliate Associate Professor Dr. Yu Suzuki and his research group at the Division of Information Sciences, Graduate School of Science and Technology of Nara Institute of Science and Technology (NAIST) are working on generating new findings employing multidimensional Big Dataanalysis. The research group has built a system environment for data mining, machine learning, and analysis, using HPE ProLiant DL385 Gen10 Server equipped with an AMD EPYC processor. Taking advantage of the superior architecture that connects CPU and memory at top speed has helped achieve high-speed, high-precision processing. The equipment was procured smoothly in a short time using the HPE online store, HPE DirectPlus.

Challenge

Contribute to the society and create value with multidimensional Big Data analysis
NAIST is a Japanese national graduate university that specializes in the three areas of information science, biological science, and materials science. Since its founding in 1991, the institution has been highly regarded in various fields for its world-class research activities and fostering of human resources. In order to enhance interdisciplinary education and learning of these three areas, NAIST was transformed into a single research institution called Graduate School of Science and Technology in 2018.
Yu Suzuki, Doctor of Engineering, Affiliate Associate Professor in the Division of Information Sciences, introduces the new system, "Seeking to realize more significant research results and contribute to the real society, a system to organically link researchers of the three fields was established. There is an increasing number of opportunities to work on a single research theme across all areas. The Division of Information Sciences studies methods to analyze test data more effectively together with the researchers of biological science and materials science, and leads the way to taking each study to a new stage based on the accumulated knowledge."
The Augmented Human Communication Laboratory to which Suzuki belongs handles an assortment of technologies that support communication among people and between people and IT. Beginning with the building of a prototype system that puts emphasis on feasibility to implementation into a service system and evaluation, the laboratory has also been responsible for collaboration within the industry. One of the initiatives that Dr. Suzuki and his research group are currently engaged in is leveraging multidimensional Big Data analysis to generate new findings.
"We aim to make practical use of the service to provide real-time distribution of tourism information for foreigners who visit Japan, leveraging multidimensional Big Data analysis. This service is intended to provide real-time information such as places of interest in famous tourist areas, weather, and crowd control, connecting sensor information placed in tourist areas with information posted on Twitter. The major aim of the service would be to closely monitor ever-changing circumstances and to provide appropriate information to tourists in real-time, rather than fixed information," says Dr. Suzuki.