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We discuss how lifting-up affects the solutions of support vector machines (SVMs). In many applications, an SVM finds the optimal inhomogeneous separating hyperplane in terms of margins while some of the theoretical analyses on SVMs have treated only homogeneous hyperplanes for simplicity. Although they seem essentially equivalent due to lifting-up but differ in fact. This study discusses how different they are from a geometrical viewpoint.

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We propose an emergent system model that is a mutually connected neural network model which is mounted to the spatiotemporal coupled Lorenz model-based subsystems, which has proposed in a previous paper. There are two types in this model. One of these is a digital-digital network model (a DDN model) that is mounted to the digital subsystems; another model is an analog-digital network model (an ADN model) that is mounted to the analog subsystems. Both these types are auto-correlation type associative memory models. Even though having no learning synapse weight systems in these models, the models show several autonomous dynamics of retrieving embedded patterns by exciting an external input pattern from the subsystems. And, we introduce the methods of controlling of the proposed models that is called the self-reference model and the external stimulation strength dependence model.

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In design of large scale circuits and multibody systems, it is indispensable to model the systems as interconnected systems by focusing upon structural relations via energy flow. The idea of Dirac structures has been known as an useful tool in relations with nonlinear control theory, which is a generalized idea of symplectic and Poisson structures.In the paper, we demonstrate how interconnected mechanical systems can be formulated in the framework of the implicit Hamiltonian system based on the Dirac structure. We also illustrate the case of interconnected mechanical systems having kinematical constraints together with an illustrative example of a vertical disk rolling on the plane.

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This paper considers the local stability analysis of feedback systemswith input saturation. First, we derive a local stability condition with the aid of S-Procedure of polynomial with higher degrees of freedom. Then, we obtain a Lyapunov function using Sum of Squares decomposition. Finally we demonstrate its effectiveness through numerical examples.

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This paper considers the robust stability of the interconnection ofa linear time-invariant nominal system and uncertainty in the behavioral framework. We introduce the notion of half-line $\Phi$-nonnegativity that corresponds to the traditional passivity with respect to a quadratic supply rate. It is shown that, for the half-line $(-\Phi)$-nonnegative uncertainty, the uncertain interconnection is a regular interconnection and robustly stable if and only if the nominal system is half-line $\Phi$-positive. The present result is a generalization of the robust stability condition of a feedback system based the small gain or passivity theorem.

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This paper presents a research work to develop a power assist orthosis for upper limbs that aims at supporting a human helper taking up patients for nursing purposes. In order to achieve naturalistic physical assists, user's directability of the orthosis is one of the most important dimensions that should be assured. Concerning this issue, basic experiment and analysis were performed to explore plausible positions at which force sensors are mounted as a communication channel from a user to the orthosis.

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This study is to generate 3 dimensional maze problems with the emergency of genetic algorithms. The 3 dimensional maze is a new toy product that cosists of 27 T-Cubes forming a 3x3x3 large cube. When T-cubes are stacked up with proper directions, a 3 dimensional maze is formed by connecting T-pipes in the T-cubes. The series of 12 directions of T-Cubes are evolved as chromosomes by GA with three evaluation functions. Various problems of the 3 dimensional maze are generated under the control of characteristics of the problems that is realized by a parameter in the second and third evaluation function.

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This paper empirically investigates the effect of Grid Computing on the computational cost of evolution strategies. Especially, for the task scheduling, List Scheduling with Round-robin order Replication(RR) is adopted. Computer simulations are conducted which compare with the energy loss of theoretical maximum value and an actual expected measurement. We show that RR proves the theory of energy loss and cuts the computational time.

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In this paper we deal with correlation detection fordigital ghost watermarking.First we introduce the basic principle of digital ghost watermarking.Next we explain a method of correlation detection using hard limiter.Finally by means of computer simulation, we examine a basic characteristic of HCC(hard-decision cross correlation) vs. mixture ratio, and we consider the statistical reliability of detection.

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In recent years, wavelet transform which gives the expression of time-frequency domain has been paid attention. We proposed a new spectral analysis method different from wavelet transform. In proposed method, whenever a new data comes in, the spectrum is updated by this new in-put data, for another the spectral analysis operation can be handled in parallel. due to the feature, we can reduce amount of total calcu-lation at moment, if parallel processing computer is realized, we willbe able to make calculating time a remarkable reduction. The proposedmethod consits of two approaches. We call these approaches "No1 app-roach and No2 approach". We showed that we could decompose a signal wave into many waves and we could reconstruct the the signal wave app-roximate. The same problem in No2 approach has never been studied so far. We will now show the decompositon and reconstruction of a signal wave in No2 approach.

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This paper presents a new color reproduction system using an optical see-through HMD with a special half-mirror with variable transmittance. This system adjusts the mixture ratio between real and virtual by estimating what color should be displayed and how much the most effecitve transmittance of the variable filter is. This method of controlling the suitable transmittance can expand the range of the color reproduction quality on Mixed Reality worlds. In this paper, we explain the mathematical model of the color reproduction and experimental results for changing the color appearance of a real degraded painting, Japanese Ukiyoe.

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