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Nagoya-shi, Japan

Nanzan University is a private, coeducational university located in Aichi Prefecture, Japan. The main campus is in the Shōwa Ward of Nagoya City, with another in Seto City and a recently established satellite campus near Nagoya's Takaoka Station on the subway Sakura-dōri Line. It is considered to be one of the most prestigious private universities in Central Japan. Wikipedia.


Bando M.,Kyoto University | Ichikawa A.,Nanzan University
Journal of Guidance, Control, and Dynamics | Year: 2012

Graphical generation of periodic orbits of Tschauner-Hempel (TH) equations is presented. The general solution of the relative dynamics based on the orbital elements is obtained, and the relative motion invariant manifold, where the solution lies, is determined. The region where all periodic solutions lie is determined by two ellipses, whose size depends on the eccentricity of the leader orbit. Size and phase parameters for periodic orbits are introduced for the TH equations, and a simple way to draw a periodic orbit is proposed for a given pair of size and phase parameters and a given initial true anomaly of the elliptic orbit. Results show that the design of a relative orbit with size and position specifications is as simple as in the Hill-Clohessy-Wiltshire (HCW) case. Source


Oishi Y.,Nanzan University
Proceedings of the IEEE Conference on Decision and Control | Year: 2010

Quantitative study is made on how much passivity is lost when a continuous-time nonlinear system is discretized for digital implementation of a controller. The standard discretization with the zero-order hold and the ideal sampler is mainly considered though other types of discretization are also considered. The result can be used for the choice of the sampling period. Namely, the sampling period has to be small when the original continuous-time system is oscillatory. The general input-output framework is used for the discussion. ©2010 IEEE. Source


Okamura H.,Hiroshima University | Dohi T.,Hiroshima University | Osaki S.,Nanzan University
Reliability Engineering and System Safety | Year: 2013

This paper proposes software reliability growth models (SRGM) where the software failure time follows a normal distribution. The proposed model is mathematically tractable and has sufficient ability of fitting to the software failure data. In particular, we consider the parameter estimation algorithm for the SRGM with normal distribution. The developed algorithm is based on an EM (expectation-maximization) algorithm and is quite simple for implementation as software application. Numerical experiment is devoted to investigating the fitting ability of the SRGMs with normal distribution through 16 types of failure time data collected in real software projects. © 2012 Elsevier Ltd. All rights reserved. Source


Aoyama M.,Nanzan University
Computer | Year: 2012

Innovative computational technologies developed by automotive companies and research institutes in Japan are making cars greener, smarter, and more connected. © 2012 IEEE. Source


Bin X.,Nanzan University
International Journal of Advancements in Computing Technology | Year: 2012

First, the theory of real option and Ito lemma are briefly introduced. Second, how does the enterprise analysis the market and how does the enterprise test market are discussed. Third, the theory of real option and Ito lemma is introduced into this paper to test market and analysis activity. Fourth, the enterprise decided whether enter or exit the market under the case of demand uncertainty is talked about in this paper. Finally, the numerical solution is showed. From doing this, the structure of optimal solution and the influence of the variable changes on the market decision-making are derived. Source

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