We have investigated the nanofabrication of three-dimensional (3D) chemical vapor deposited (CVD) diamond molds in Electron Cyclotron Resonance (ECR) oxygen ion beam etching technologies using polysiloxane [-R2SiO-]n ...
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This paper describes an online eye-tracking method based on electrooculogram (EOG) to estimate gaze angle. The objective is to use biomedical signal EOG as the input of human-machine interface for both disabled and he...
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Artificial realization of an adaptive expert knowledge database for the sleep data from clinics was investigated. The ultimate purpose is to develop automatic sleep stage determination technique for variable cases of ...
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This paper proposes a method of constructing weak control-Lyapunov functions for nonlinear systems by introducing a topological geometric assumption called a Morse-Smale system. A Lyapunov function is one of the most ...
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This paper proposes a method of constructing weak control-Lyapunov functions for nonlinear systems by introducing a topological geometric assumption called a Morse-Smale system. A Lyapunov function is one of the most important tools to study stability and stabilization of nonlinear systems. However, a general way of finding Lyapunov functions has not been found yet. First, we confirm there is a weak Lyapunov function for Morse-Smale systems. Next, we define the escapability for singular structures of the weak Lyapunov function. If all singular structures are escapable, then the Morse-Smale system is a globally asymptotically stabilizable one. Finally, we present the method of constructing a set of weak control-Lyapunov functions to achieve global stabilization. The method is described in terms of a recursive sequence of singular structures. We call the sequence a weak Lyapunov filtration.
In this paper a prototype emergency services system is presented, equipped with a multimedia database registering and storing relevant emergency situations in a semi automatic way. In this paper we assume that this da...
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In this paper a prototype emergency services system is presented, equipped with a multimedia database registering and storing relevant emergency situations in a semi automatic way. In this paper we assume that this database is created exclusively with sound and linguistic material won from emergency telephone calls. The presented system enables conducting speaker recognition experiments. Sources of data, metadata generation, architecture description, searching for results, and database implementation are comprised.
To maintain stable operation of semiconductor fabrication lines, statistical process control (SPC) methods are recognized to be effective. However, in semiconductor fabrication lines, there exist a huge number of proc...
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To maintain stable operation of semiconductor fabrication lines, statistical process control (SPC) methods are recognized to be effective. However, in semiconductor fabrication lines, there exist a huge number of process state signals to be monitored, and these signals contain both normally and non-normally distributed data. Therefore, if we try to apply SPC methods to those signals, we need one which satisfies three requirements: 1) It can deal with both normally distributed data, and non-normally distributed data, 2) It can be set up automatically, 3) It can be easily understood by engineers and technicians. In this paper, we propose a new SPC method which satisfies these three requirements at the same time. This method uses similar rules to the Shewhart chart, but can deal with non-normally distributed data by introducing “effective standard deviations”. Usefulness of this method is demonstrated by comparing false alarm ratios to that of the Shewhart chart method. In the demonstration, we use various kinds of artificially generated data, and real data observed in a chemical vapor deposition (CVD) process tool in a semiconductor fabrication line.
It has been widely acknowledged that a major reason for software project failure is the ambiguous and incomplete customer's requirements. One of their main cautions is the inconsistency between implementation imag...
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ISBN:
(纸本)9789604741274
It has been widely acknowledged that a major reason for software project failure is the ambiguous and incomplete customer's requirements. One of their main cautions is the inconsistency between implementation image and specification at an early stage of software development. Therefore, we have been proposed a method to automatically generate a user interface prototype from a requirements analysis model in Unified Modeling Language in order to decrease inconsistency between them for business Web application development. In this paper, we have compared our proposal with traditional use case modeling to evaluate the effectiveness of our proposal.
Errors-in-Variables systems have been extensively studied in the literature. We study the impact of sampling on a continuous-time errors-in-variables problem. In particular, we study some approximations of a two dimen...
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Errors-in-Variables systems have been extensively studied in the literature. We study the impact of sampling on a continuous-time errors-in-variables problem. In particular, we study some approximations of a two dimensional (input-output) continuous-time signal spectrum developed from the sampled-data spectrum. Indeed, some of the paper is tutorial in nature. We also explore the possibility of retrieving the underlying continuous-time system from samples of the input and output signals.
A 40kN rocket engine, Pilot Engine, is being developed in Japan. Pilot Engine development has been initiated relating to the reusable sounding rocket, which is also developed in Japan. This rocket vertically takes off...
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The onset detection of muscle activation is an essential issue in electromyogram (EMG) control. In this paper, a novel approach based on EMG power with automatic adaptive threshold is proposed to address this issue. T...
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The onset detection of muscle activation is an essential issue in electromyogram (EMG) control. In this paper, a novel approach based on EMG power with automatic adaptive threshold is proposed to address this issue. The purpose is to develop an effective EMG-controlled meal assistance robot. Taking into account the individual difference such as contraction power and resting power, the threshold of onset detection is set with respect to the latest EMG signal. The results show the method is able to adjust automatically to avoid false alarms, and works well when the contraction power varies. Implementation of this EMG-controlled meal assistance robot may provide limb-deficient patients with an effective and comfortable human-machine assistance interface.
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