University of Electro-Communications

About: University of Electro-Communications is a education organization based out in Tokyo, Japan. It is known for research contribution in the topics: Laser & Robot. The organization has 8041 authors who have published 16950 publications receiving 235832 citations. The organization is also known as: UEC & Denki-Tsūshin Daigaku.

Machine Learning Meets Computation and Communication Control in Evolving Edge and Cloud: Challenges and Future Perspective

Abstract: Mobile Edge Computing (MEC) is considered an essential future service for the implementation of 5G networks and the Internet of Things, as it is the best method of delivering computation and communication resources to mobile devices. It is based on the connection of the users to servers located on the edge of the network, which is especially relevant for real-time applications that demand minimal latency. In order to guarantee a resource-efficient MEC (which, for example, could mean improved Quality of Service for users or lower costs for service providers), it is important to consider certain aspects of the service model, such as where to offload the tasks generated by the devices, how many resources to allocate to each user (specially in the wired or wireless device-server communication) and how to handle inter-server communication. However, in the MEC scenarios with many and varied users, servers and applications, these problems are characterized by parameters with exceedingly high levels of dimensionality, resulting in too much data to be processed and complicating the task of finding efficient configurations. This will be particularly troublesome when 5G networks and Internet of Things roll out, with their massive amounts of devices. To address this concern, the best solution is to utilize Machine Learning (ML) algorithms, which enable the computer to draw conclusions and make predictions based on existing data without human supervision, leading to quick near-optimal solutions even in problems with high dimensionality. Indeed, in scenarios with too much data and too many parameters, ML algorithms are often the only feasible alternative. In this paper, a comprehensive survey on the use of ML in MEC systems is provided, offering an insight into the current progress of this research area. Furthermore, helpful guidance is supplied by pointing out which MEC challenges can be solved by ML solutions, what are the current trending algorithms in frontier ML research and how they could be used in MEC. These pieces of information should prove fundamental in encouraging future research that combines ML and MEC.

Fast tracking of hands and fingertips in infrared images for augmented desk interface

Abstract: We introduce a fast and robust method for tracking positions of the centers and the fingertips of both right and left hands. Our method makes use of infrared camera images for reliable detection of a user's hands, and uses a template matching strategy for finding fingertips. This method is an essential part of our augmented desk interface in which a user can, with natural hand gestures, simultaneously manipulate both physical objects and electronically projected objects on a desk, e.g., a textbook and related WWW pages. Previous tracking methods which are typically based on color segmentation or background subtraction simply do not perform well in this type of application because an observed color of human skin and image backgrounds may change significantly due to protection of various objects onto a desk. In contrast, our proposed method was shown to be effective even in such a challenging situation through demonstration in our augmented desk interface. This paper describes the details of our tracking method as well as typical applications in our augmented desk interface.

All-Solid Perovskite Solar Cells with HOCO-R-NH3+I– Anchor-Group Inserted between Porous Titania and Perovskite

Abstract: HOCO-R-NH3+I monolayer working as an anchor for perovskite (CH3NH3PbI3 (abbreviation: PEROVI3)) was inserted between the surface of porous metal oxide (titania or alumina) and the PEROVI3. Power conversion efficiency (PCE) of PEROVI3 solar cells increased from 8% to 10% after the HOCO-R-NH3+I– monolayer was inserted. Moreover, PCE of 12% was achieved for cells fabricated at optimized conditions. This increase in the efficiency was explained by retardation of charge recombination, and better PEROVI3 crystal growth, which improves PEROVI3 network on these porous metal oxides. It was proved that PEROVI3 crystal growth can be controlled by HOCO-R-NH3+I– on these porous metal oxides.

The status of DECIGO

Abstract: DECIGO (DECi-hertz Interferometer Gravitational wave Observatory) is the planned Japanese space gravitational wave antenna, aiming to detect gravitational waves from astrophysically and cosmologically significant sources mainly between 01 Hz and 10 Hz and thus to open a new window for gravitational wave astronomy and for the universe DECIGO will consists of three drag-free spacecraft arranged in an equilateral triangle with 1000 km arm lengths whose relative displacements are measured by a differential Fabry-Perot interferometer, and four units of triangular Fabry-Perot interferometers are arranged on heliocentric orbit around the sun DECIGO is vary ambitious mission, we plan to launch DECIGO in era of 2030s after precursor satellite mission, B-DECIGO B-DECIGO is essentially smaller version of DECIGO: B-DECIGO consists of three spacecraft arranged in an triangle with 100 km arm lengths orbiting 2000 km above the surface of the earth It is hoped that the launch date will be late 2020s for the present