Future University Hakodate

About: Future University Hakodate is a education organization based out in Hakodate, Japan. It is known for research contribution in the topics: Network packet & Mobile ad hoc network. The organization has 485 authors who have published 1338 publications receiving 13204 citations. The organization is also known as: Mirai Daigaku (Future University) Hakodate Japan.

WiMAX-VPON: A Framework of Layer-2 VPNs for Next-Generation Access Networks

Abstract: This paper proposes WiMAX-VPON, a novel framework for establishing layer-2 virtual private networks (VPNs) over the integration of WiMAX and Ethernet passive optical networks, which has lately been considered as a promising candidate for next-generation fiber-wireless backhaul-access networks. With WiMAX-VPON, layer-2 VPNs support a bundle of service requirements to the respective registered wireless/wired users. These requirements are stipulated in the service level agreement and should be fulfilled by a suite of effective bandwidth management solutions. To achieve this, we propose a novel VPN-based admission control and bandwidth allocation scheme that provides per-stream quality-of-service protection and bandwidth guarantee for real-time flows. The bandwidth allocation is performed via a common medium access control protocol working in both the optical and wireless domains. An event-driven simulation model is implemented to study the effectiveness of the proposed framework.

On Evaluating Systems for Generating Expressive Music Performance: the Rencon Experience

Abstract: Research into music generation and into emulating human musical competence has attracted much attention in the field of computer science. In general, the results of academic research should be verified by assessing ‘objective effectiveness’, which is often represented by a ‘recognition ratio’. Although ‘objective effectiveness’ is also a requirement for research in music generation, it is meaningless unless subjective requisites are also satisfied. However, it is not easy for researchers to execute subjective evaluations within their individual endeavours. To address this difficulty within the research area of computer systems for generating expressive music performances, the Performance Rendering Contest (Rencon) was created. This is an international competition in which entrants present computer systems and the performances generated are graded, and has been held in conjunction with related international conferences. This paper presents an overview of Rencon history, highlighting the evaluative...

Side channel attacks and countermeasures on pairing based cryptosystems over binary fields

Abstract: Pairings on elliptic curves have been used as cryptographic primitives for the development of new applications such as identity based schemes. For the practical applications, it is crucial to provide efficient and secure implementations of the pairings. There have been several works on efficient implementations of the pairings. However, the research for secure implementations of the pairings has not been thoroughly investigated. In this paper, we investigate vulnerability of the pairing used in some pairing based protocols against side channel attacks. We propose an efficient algorithm secure against such side channel attacks of the eta pairing using randomized projective coordinate systems for the pairing computation.

Musical Structural Analysis Database Based on GTTM

Abstract: This paper, we present the publication of our analysis data and analyzing tool based on the generative theory of tonal music (GTTM). Musical databases such as score databases, instrument sound databases, and musical pieces with standard MIDI files and annotated data are key to advancements in the field of music information technology. We started implementing the GTTM on a computer in 2004 and ever since have collected and publicized test data by musicologists in a step-by-step manner. In our efforts to further advance the research on musical structure analysis, we are now publicizing 300 pieces of analysis data as well as the analyzer. Experiments showed that for 267 of 300 pieces the analysis results obtained by a new musicologist were almost the same as the original results in the GTTM database and that the other 33 pieces had different interpretations.