Computer Modeling of Personal Autonomy and Legal Equilibrium

Empirical studies of personal autonomy as state and status of individual freedom, security, and capacity to control own life, particularly by independent legal reasoning, are need dependable models and methods of precise computation. Three simple models of personal autonomy are proposed. The linear model of personal autonomy displays a relation between freedom as an amount of agent's action and responsibility as an amount of legal reaction and shows legal equilibrium, the balance of rights and duties needed for sustainable development of any community. The model algorithm of judge personal autonomy shows that judicial decision making can be partly automated, like other human jobs. Model machine learning of autonomous lawyer robot under operating system constitution illustrates the idea of robot rights. Robots, i.e. material and virtual mechanisms serving the people, deserve some legal guarantees of their rights such as robot rights to exist, proper function and be protected by the law. Robots, actually, are protected as any human property by the wide scope of laws, starting with Article 17 of Universal Declaration of Human Rights, but the current level of human trust in autonomous devices and their role in contemporary society needs stronger legislation to guarantee the robot rights.Comment: 8 pages, 6 figures, presented at Computer Science On-line Conference 201

Investigation of refractory dielectrics for integrated circuits

Pyrolytic silicon nitride dielectric for integrated circuit

From office flowers to gym bunnies: how women used sporting leisure to redefine themselves in the Japanese Bubble Economy

In 1992, Fuji Television aired an early 5am morning exercise show called, Eikaiwa taisō Zuiikin Ingurisshu. Roughly translating as 'English conversation, gymnastic exercise voluntary muscles English', the show aimed to facilitate English-learning using synchronised exercises while also parodying the established NHK 6am gymnastic exercise program. As part of an experimental low-budget program called JOCX-TV2 that ran from 1987–1995, this show aired for 24 episodes over one season, and while passing unnoticed by most Japanese, gained an international cult following from 2005 onwards when the series was re-aired. When I stumbled across this video during my research, it simultaneously fascinated, amused and confused me. While undoubtedly funny, it also was saying something about women, exercise and Bubble Japan that was hidden under the humour Through this paper I will explore what sport meant to young women in Japan, of the kind being parodied here, and who may have even been watching at 5am

Consuming nostalgia in the Japanese Bubble Economy (1986-1991)

Using examples taken from the women's magazine, Hanako, and the Sanyo ROBO telephone, this paper will explore the use of nostalgia as part of a strategy of consumption and the significance of its application to young working women during Japan's Bubble Economy of the late 1980s

Computing Nearly Singular Solutions Using Pseudo-Spectral Methods

In this paper, we investigate the performance of pseudo-spectral methods in computing nearly singular solutions of fluid dynamics equations. We consider two different ways of removing the aliasing errors in a pseudo-spectral method. The first one is the traditional 2/3 dealiasing rule. The second one is a high (36th) order Fourier smoothing which keeps a significant portion of the Fourier modes beyond the 2/3 cut-off point in the Fourier spectrum for the 2/3 dealiasing method. Both the 1D Burgers equation and the 3D incompressible Euler equations are considered. We demonstrate that the pseudo-spectral method with the high order Fourier smoothing gives a much better performance than the pseudo-spectral method with the 2/3 dealiasing rule. Moreover, we show that the high order Fourier smoothing method captures about $12 \sim 15$ more effective Fourier modes in each dimension than the 2/3 dealiasing method. For the 3D Euler equations, the gain in the effective Fourier codes for the high order Fourier smoothing method can be as large as 20% over the 2/3 dealiasing method. Another interesting observation is that the error produced by the high order Fourier smoothing method is highly localized near the region where the solution is most singular, while the 2/3 dealiasing method tends to produce oscillations in the entire domain. The high order Fourier smoothing method is also found be very stable dynamically. No high frequency instability has been observed.Comment: 26 pages, 23 figure