This paper proposes a method to construct a subjective model expressing color impressions, which is expressed by fuzzy rules. Hue and tone are dealt with in the premise part of fuzzy rules and the degree of color impr...
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This paper proposes a method to construct a subjective model expressing color impressions, which is expressed by fuzzy rules. Hue and tone are dealt with in the premise part of fuzzy rules and the degree of color impressions is expressed in the consequent part. Color impressions are the basic concept known as psychological effects of colors. In this paper two pieces of subjective information are considered in order to construct the subjective model. One is the information of the absolute relationship between a color and the subjective degree of its impressions. And the other is the one about the relative relationship between colors on a subjective measure in terms of color impressions. Two kinds of questionnaires, called the absolute and the comparative judgments, are performed to get the subjective information. Additionally, this paper proposes improves the method so that is more applicable to the practical use. A validity of the proposed methods are examined by evaluation experiments.
The purpose of this research is to propose a quantitative analysis method to analyze the relationship between the feedforward controller and feedback controller in a motion learning process, and also to assess the eff...
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The purpose of this research is to propose a quantitative analysis method to analyze the relationship between the feedforward controller and feedback controller in a motion learning process, and also to assess the effectiveness of this method by experiments. To analyze the mechanisms of the motion control systems, we propose: 1) a control gain identification method, 2) a squared-error separation method, 3) a gradient separation method, and 4) a pattern correlation method. The inverted pendulum is used to evaluate the effectiveness of these methods. Experiments show that the proposed methods are an effective way to separate the motor control system into feedforward control and feedback control. They also disclose the fact that there are two learning processes; one of which mainly performs feedback control and the other mainly feedforward control.
In this study, small disk ultrasonic transducers were used to develop a very small ultrasonic flowmeter with a measuring pipe diameter of less than 1 mm. The feasibility of using an ultrasonic flowmeter to measure a l...
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In this study, small disk ultrasonic transducers were used to develop a very small ultrasonic flowmeter with a measuring pipe diameter of less than 1 mm. The feasibility of using an ultrasonic flowmeter to measure a liquid flow rate below 1 mL/min was investigated experimentally. Calibration results of the developed ultrasonic flowmeter were almost all scattered within the range predicted from the standard deviation of measurements. The flowmeter can stably measure a flow rate of less than 1 mL/min with a standard deviation of about 0.01 mL/min. This result suggests that the flowmeter can be very useful for semiconductor, medical and chemical industries.
A new ultrasonic liquid flowmeter has been developed to measure very low flow rate. This flow meter consists of small disk ultrasonic transducers and measuring pipe whose diameter is less than 1 mm. The measuring pipe...
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ISBN:
(纸本)0780373928
A new ultrasonic liquid flowmeter has been developed to measure very low flow rate. This flow meter consists of small disk ultrasonic transducers and measuring pipe whose diameter is less than 1 mm. The measuring pipe passed through the ultrasonic transducer two times making the loop feature. A very low flow rate less than 1ml/min can be measured accurately and stably.
A system which supports remote instruction for physical tasks in the real world should support following requirements: 1) flexibility of the body arrangement; 2) awareness of each other's orientations; and 3) comm...
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A system which supports remote instruction for physical tasks in the real world should support following requirements: 1) flexibility of the body arrangement; 2) awareness of each other's orientations; and 3) communication of gestural information. To satisfy these requirements, we developed a system named "GestureMan". GestureMan is a mobile robot mounted with three cameras and a remotely controlled laser pointer on it. An instructor controls the robot remotely with a joystick and gives instruction to an operator. Two preliminary experiments using a low-speed Satellite link and high-speed ATM network respectively show that GestureMan has an ability to support the remote instruction. Furthermore, gigabit network enabled the natural interaction between the instructor and the operator by alleviating limitations such as time delay and narrow field of view.
Neurons related to pair-association memory have been found in the inferotemporal cortex of monkeys, but their activities do not accord with existing neural network models. The article describes a neural network model ...
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Neurons related to pair-association memory have been found in the inferotemporal cortex of monkeys, but their activities do not accord with existing neural network models. The article describes a neural network model consisting of excitatory-inhibitory cell pairs, which recalls paired patterns based on a gradual shift of the network state. It is demonstrated by computer simulations that this model agrees well with the observed neuronal activities.
A fully recurrent neural network with a nonmonotonic activation function that treats temporal sequences without expanding them into spatial patterns is described. This network associates a complex spatiotemporal patte...
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A fully recurrent neural network with a nonmonotonic activation function that treats temporal sequences without expanding them into spatial patterns is described. This network associates a complex spatiotemporal pattern with a simple one using trajectory attractors formed by simple learning. Computer simulations show that the model not only has high recognition and generation abilities but can also perform advanced processing using bidirectional interactions.
A neural network model that recognizes sequential patterns without expanding them into spatial patterns is presented. This model forms trajectory attractors in the state space of a fully recurrent network by a simple ...
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A neural network model that recognizes sequential patterns without expanding them into spatial patterns is presented. This model forms trajectory attractors in the state space of a fully recurrent network by a simple learning algorithm using nonmonotonic dynamics. When a sequential pattern is input after learning, the network state is attracted to the corresponding learned trajectory and the incomplete part of the input pattern is restored in the input part of the model;at the same time, the output part indicates which sequential pattern is being input. In addition, this model can recognize learned patterns correctly even if they are temporally extended or contracted.
An evolutionary design methodology for sonar spectrum recognition chip is proposed and the prototype chip is developed. In the design, sonar spectrum data are transformed to truth-tables and the truth-tables are evolv...
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An evolutionary design methodology for sonar spectrum recognition chip is proposed and the prototype chip is developed. In the design, sonar spectrum data are transformed to truth-tables and the truth-tables are evolved to obtain generalization capability by using genetic algorithms. Digital circuits are designed by synthesizing the evolved truth-tables. Parallelism in the data can be embedded in the circuits directly by this direct hardware implementation technique of the sonar spectrum data. The circuit size of the developed chip was 4,134 gates, and this was small enough to be implemented onto a standard FPGA (field programmable gate array) chip. Operation speed of the chip was less than 1.0 micro-second per spectrum. Moreover the chip achieved the recognition accuracy of 91.7%, which was higher than those in the backpropagation and the k-NN algorithm.
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