In the delayed match-to-sample task, responses of inferior temporal neurons to adjacent stimuli in the sequence are correlated to each other when the monkey was trained repeatedly with the sequence of visual stimuli, ...
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In the delayed match-to-sample task, responses of inferior temporal neurons to adjacent stimuli in the sequence are correlated to each other when the monkey was trained repeatedly with the sequence of visual stimuli, although the monkey was not required to associate the stimuli with each other. This correlation, however, is not observed for a monkey with lesions of the rhinal cortex, which is not consistently explained by existing models of such correlated responses. In the present study, we construct a model consisting of two networks corresponding to area TE and the perirhinal cortex, and show that perirhinal plasticity may underlie the mechanism of implicit association learning.
In this paper, a Trademark Application Assistant (TAST) that aims to speed up the process of a successful trademark application is proposed. The core of TAST is a similarity-based image retrieval system that makes use...
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In this paper, a Trademark Application Assistant (TAST) that aims to speed up the process of a successful trademark application is proposed. The core of TAST is a similarity-based image retrieval system that makes use of relaxation matching on extracted contour segments. A novelty of this research lies in the processing architecture introduced for adapting the highly effective but computation expensive relaxation matching algorithm to real-time image retrieval. Preliminary results illustrating the quality of matching and the scalability of the processing architecture in terms of response time are included. The proposed architecture is not limited to using relaxation matching based servers, but is also applicable to other types of matching server as well.
This paper describes a method of power assist control for lower body based on neuromuscular signal, s-EMG (surface ElectroMyogram/Myoelectricity), and impedance adjustment around knee joint with the assist system, HAL...
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This paper describes a method of power assist control for lower body based on neuromuscular signal, s-EMG (surface ElectroMyogram/Myoelectricity), and impedance adjustment around knee joint with the assist system, HAL (Hybrid Assistive Leg) -3 we have developed. Virtual Torque calculated by s-EMG enabled the HAL-3 to be operated as to intention of the experimental subject put on HAL, and assist the motion of lower body by predicting the moment around joints. Besides, the operator was able to swing the leg lighter by reducing the inertia and viscous friction around joint of the subject and HAL-3. In order to verify the proposed method, experiments for simple motion was performed with impedance values found by parameter identification with RLS (Recursive Least Square) method. The evaluation of assisted motion was done by Assist Efficiency (AE) calculated from s-EMG in nearly proportion to the operator's muscle force. The results showed the response of operational signal into actuator with impedance adjustment was improved dramatically, and the amplitudes of s-EMG were reduced significantly, then we could confirm the availability of impedance adjustment.
We have developed the power assist suit HAL (Hybrid Assistive Leg) which provide the self-walking aid for gait disorder persons or aged persons. The power assist was performed according to the operator's intention...
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We have developed the power assist suit HAL (Hybrid Assistive Leg) which provide the self-walking aid for gait disorder persons or aged persons. The power assist was performed according to the operator's intention by using myoelectricity(EMG) signal as the primary command signal. However, there remains the problem that the operator senses the discomfort while the power assist is performed by EMG-based control. The scope of the present research is to propose the control methods to reduce the discomfort which the operator sense while the EMG-based power assist is performed in walking and standing up respectively;1) the control method that the integrated motion between HAL-3 and the operator corresponds with the particularity of operator's musculo-skeletal system while in the power assist walking, 2)the predictive control method applying feedforward controller to remove the discomfort while in standing up. As the result, the power assist walking was performed corresponding to the joint kinematics of the normal walking without the assistance. Applying feedforward controller realized the quick response while in standing up power assist. These control methods enabled HAL-3 to realize the power assist that the operator sensed the reduce of discomfort.
We propose an efficient heuristic algorithm that sets up and releases lightpaths for connection requests dynamically. We partition the routing and wavelength assignment (commonly known as RWA) problem into two subprob...
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ISBN:
(纸本)0780374002
We propose an efficient heuristic algorithm that sets up and releases lightpaths for connection requests dynamically. We partition the routing and wavelength assignment (commonly known as RWA) problem into two subproblems and solves both of them using a well-known shortest path routing algorithm. For solving the routing subproblem, an auxiliary graph is created whereby the nodes and links in the original network are transformed to the edges and vertices, respectively, and the availability of each wavelength on the input and output links of a node as well as the number of available wavelength converters are taken into account in determining the weights of edges. Furthermore, for solving the wavelength assignment subproblem, an auxiliary graph is also utilized and the cost for wavelength conversion is taken into consideration in the edge weight function. A distinguished feature of our algorithm is that it employs more accurate network information on the availability of both the wavelengths and the wavelength converters than the existing algorithms in deciding the routing and the wavelength assignment. Simulation results show that our algorithm performs much better than previously proposed algorithms with comparable computation time, especially when the number of wavelengths is large while the number of converters at each node is limited.
This paper aims at proposing and comparing two fuzzy models and a statistical model for clustering based on L1-space. Clustering methods in the fuzzy models are the standard fuzzy c-means and an entropy regularization...
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＜正＞Introduction Constant-amplitude fatigue strength for the cross-ply fiber-metal laminate GLARE-3 has been studied with a particular emphasis on an elucidation of the directional characteristic. Tension-tension fa...
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＜正＞Introduction Constant-amplitude fatigue strength for the cross-ply fiber-metal laminate GLARE-3 has been studied with a particular emphasis on an elucidation of the directional characteristic. Tension-tension fatigue tests are performed at room temperature on five kinds of plain coupon specimen with a different off-axis angle. The directional characteristic of tile fatigue strength of GLARE-3 is elucidated on the basis of the off-axis S-N relationships. The off-axis S-N relationships of GLARE-3 are compared with those of unidirectional GLARE-2 [1]to
This paper proposes a method to construct a subjective model for color impressions considering the reduction of human load. A model is constructed using the fuzzy rules expression in which the premise part shows color...
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This paper proposes a method to construct a subjective model for color impressions considering the reduction of human load. A model is constructed using the fuzzy rules expression in which the premise part shows color information and the consequent part shows emotional effects of color. Two kinds of questionnaire are carried out in order to obtain subjective information and a subjective model is constructed using them. The effectiveness of constructed subjective models is verified by the comparison with the objective model constructed by experts and with another subjective one.
Fuzzy c-means is well-known among the various methods of fuzzy cluster analysis. L/sub 1/-based fuzzy c-means has also been studied in recent years. This paper discusses the L/sub 1/-based fuzzy c-means of data with f...
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Fuzzy c-means is well-known among the various methods of fuzzy cluster analysis. L/sub 1/-based fuzzy c-means has also been studied in recent years. This paper discusses the L/sub 1/-based fuzzy c-means of data with fuzzy uncertainties. The data unit is supposed to be the Cartesian product of fuzzy numbers. The metric between a data unit with uncertainty and a cluster center is defined using minimum and maximum distances. The fuzzy c-means algorithm is an alternative procedure for the optimization of the cluster center and the fuzzy set membership, while the solution of the cluster center for uncertain data cannot be obtained directly. An algorithm for the solution of cluster centers based on the L/sub 1/ metric for uncertain data is developed in this paper. Using this algorithm, an exact alternate optimization procedure is obtained. Numerical examples show that the results for uncertain data are different from the results for data without uncertainties.
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