Presents a methodology for applying Quality Function Deployment (QFD) for environmentally conscious design in the early stage of product development. This methodology has been developed by incorporating environmental ...
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We have designed and fabricated three-dimensional (3D) stages driven by electrostatic comb actuators. The stage consists of traveling tables, suspensions and comb actuator(s). The key to realizing 3D motions is in the...
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We have designed and fabricated three-dimensional (3D) stages driven by electrostatic comb actuators. The stage consists of traveling tables, suspensions and comb actuator(s). The key to realizing 3D motions is in the geometry of the suspensions, which incorporate a pair of leaf springs inclined at 45 degrees against the substrate. First, the motions of the stage were analyzed by FEM (finite element method). Then 3D stages were fabricated on an SOI (silicon on insulator) wafer. The relation between the vertical displacement and driving voltage was examined.
We present a method to improve and stabilize electroluminescence from porous silicon. The electrical breakdown power increases by a factor of more than 25. The electroluminescence intensity is about 30 times higher co...
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We present a method to improve and stabilize electroluminescence from porous silicon. The electrical breakdown power increases by a factor of more than 25. The electroluminescence intensity is about 30 times higher compared to untreated samples.
In this paper, we have developed a mixed lubricant system which has strong bonded phase. Also we introduced a self-assembled monolayer (SAM) to HDI as a bonded lubricant phase.
In this paper, we have developed a mixed lubricant system which has strong bonded phase. Also we introduced a self-assembled monolayer (SAM) to HDI as a bonded lubricant phase.
In this paper, the friction properties of each layer by ball on disk test. Zdol fractionated Zdol (MW=2000/spl sim/6000) and Z03 (MW=3840) are used in this study.
In this paper, the friction properties of each layer by ball on disk test. Zdol fractionated Zdol (MW=2000/spl sim/6000) and Z03 (MW=3840) are used in this study.
We propose a method of face recognition that can consistently identify every face angle, assuming it is used in open spaces such as a normal room. We obtain the learning images not from an ideal world but from the rea...
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We propose a method of face recognition that can consistently identify every face angle, assuming it is used in open spaces such as a normal room. We obtain the learning images not from an ideal world but from the real world, where users can move around freely with no constraints. We then automatically classify the face images that vary according to the user's position and posture by self-organization (unsupervised learning), and create a discrimination circuit using only the best face images for the recognition task. We show that the recognition rate for images with various facial angles in the real world can be improved by automatic classification through self-organization.
In this article we report the optimum surface coverage ratio of the bonded and mobile phases in the 1 nm height ultrathin PFPE lubricant film for future HDD technology. The lubricant layers were prepared by the dip co...
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In this article we report the optimum surface coverage ratio of the bonded and mobile phases in the 1 nm height ultrathin PFPE lubricant film for future HDD technology. The lubricant layers were prepared by the dip coating and washing process. Patterning of lubricant was verified by scanning Reflectance Analyzer (SRA) and X-ray photoelectron spectroscopy.
Biotechnologies demand high quality micro robotics including micromanipulation, micro machining, micro assembling, and other required micro operations. Most of them are done manually under microscope, and it might be ...
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Biotechnologies demand high quality micro robotics including micromanipulation, micro machining, micro assembling, and other required micro operations. Most of them are done manually under microscope, and it might be an obstacle to increasing the efficiency of the operation. The automated micromanipulation (or automicromanipulation) system will be useful for reducing human tasks and improving the efficiency. We develop an auto-micromanipulation system including auto-calibration and auto-handling. Auto-calibration requires recognition of fingertip position in three-dimensional space. The fingertip position is detected by the combination of the one-dimensional search in depth using auto-focusing and the two-dimensional search in depth using auto-focusing and the two-dimensional search in the focused plane using the correlation matching. The color information processing is adopted for the auto-focusing. Using the calibrated micromanipulator, we achieved some micro tasks, picking up, rotating and so on. We developed an auto-micromanipulation system that can recognize and pick up a micro object automatically. The experimental results show the efficiency of our system.
This paper presents a whole body teleoperation system for a humanoid robot integrating operator's intention and the robot's autonomy. Instead of giving command to all the joints of the body, we have been propo...
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This paper presents a whole body teleoperation system for a humanoid robot integrating operator's intention and the robot's autonomy. Instead of giving command to all the joints of the body, we have been proposing a switching command based teleoperation system of which the operator selects only the necessary points of the robot's body to manipulate depending on the required tasks. We have also proposed a whole body motion generation method, which satisfies both, and the desired movement of specific points of the robot's body and the robot's balance constraint. This paper first explains the concept of the proposed teleoperation system and the autonomous functions for maintaining balance and expanding the reachable area of a humanoid robot. Then the paper reports on the experimental results using the proposed methods to teleoperate a real humanoid robot HRP-1S to perform balanced whole body motions satisfying operator's input command.
Probabilistic neural networks (PNNs) that incorporate the Bayesian decision rule and statistical models have been widely used for pattern classification. Efficient estimation of the PNN's weights, however, is stil...
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Probabilistic neural networks (PNNs) that incorporate the Bayesian decision rule and statistical models have been widely used for pattern classification. Efficient estimation of the PNN's weights, however, is still a major problem. In this paper, we propose a new training scheme based on a discriminative criterion, maximum mutual information (MMI), and apply this method to the log-linearized Gaussian mixture network (LLGMN) which is one of the PNNs. The MMI training achieves a consistent estimator of network weights, and includes the conventional maximum likelihood (ML) algorithm as a special case. Also, the dynamics of terminal attractor (TA) is introduced for iteration control of the MMI training. Finally, the classification ability of the proposed method is examined with a pattern classification problem of the electromyogram (EMG) signals, and found that the MMI training results in better classification than the conventional ML algorithm.
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