University of Electro-Communications publishes the March 2019 issue of UEC e-Bulletin
The March 2019 issue of the UEC e-Bulletin includes short videos of UEC researchers describing their activities on optical technology; numerical simulation of turbulent flow; and adaptive learning and big data-based machine learning for educating the educators.
Research highlights from high impact publications are 'JST-ERATO Intelligent Optical Synthesizer Project', Kaoru Minoshima; 'Drag reduction and relaminarization of wall-turbulence by traveling wave control', Hiroya Mamori; and 'Adaptive learning system using big data based machine learning', Maomi Ueno.
The Topics section features research on 'Improved catalytic processes for the synthesis of phenol' by Yasuhiro Iwasawa.
News and Events are 'Director of National Hospital of Tropical Diseases, Vietnam, visits UEC' and 'University of Electro-Communications (UEC) signed an Agreement of Double Degree Program with the Instituto Politécnico Nacional (IPN), Mexico'.
Optical technology has not been utilized to its full potential, although there is no doubt about its importance for applications in daily life and science and technology. By appropriate control of the unique properties of optical waves with high precision and wide dynamic range opens of the possibilities for innovative applications over a broad range of fields.
Over the past few decades, many studies conducted in the field of learning science have reported that scaffolding plays an important role in human learning. To scaffold a learner efficiently, a teacher should predict how much support a learner must have to complete tasks and then decide the optimal degree of assistance to support the learner's development. Nevertheless, it is difficult to ascertain the optimal degree of assistance for learner development.
Energy saving is important to reduce transportation costs of vehicles as well as their impact on the environment. In this context, because skin-friction drag increases significantly in turbulent flow, it is important to study flow control techniques for turbulent flow.
Researcher Video Profiles
Kaoru Minoshima, Professor, Department of Engineering Science, Graduate School of Informatics and Engineering
Kaoru Minoshima is focused on expanding the applications of optical technology that is limited at the moment. For example, one reason is that at several 100 terahertz (THz) the frequency of light is too high to directly control and manipulate signals using conventional technology.
Maomi Ueno is conducting research on machine learning, artificial intelligence, big data analysis, centering on Bayesian statistics. I this video he describes his group's research on education system with artificial intelligence using machine learning. The system adaptively supports the system according to the student's abilities and is called adaptive learning.
Hiroya Mamori is studying the control of turbulent flow by using numerical simulation. Recently, the energy saving is very important because it is needed to decrease the transport cost and the environmental impact. In fluid mechanics, flow control to reduce drag is important.
Researchers at the University of Electro-communications, Tokyo report a single-site catalytic platform with high selectivity for the single-step synthesis of phenol in a paper appeared in ACS catalysis.
News and Events
On January 11, 2019, Dr. Nguyen Van Kinh, the Director of National Hospital of Tropical Diseases (NHTD), and Dr. Nguyen Vu Trung, the Vice Director of NHTD, visited the University of Electro-Communications (UEC).
On 11 December, 2018, the University of Electro-Communications (UEC) signed an Agreement of Double Degree Program with the Instituto Politécnico Nacional (IPN), Mexico. The two institutes have been partner institutions since 1998 and engaging in active collaboration, especially student exchanges.