Electronics and Communications in Japan Part Iii-fundamental Electronic Science 

About: Electronics and Communications in Japan Part Iii-fundamental Electronic Science is an academic journal. The journal publishes majorly in the area(s): Filter design & Adaptive filter. Over the lifetime, 1845 publication(s) have been published receiving 7140 citation(s).

Secret sharing scheme realizing general access structure

Abstract: As a method of sharing a secret, e.g., a secret key, Shamir's (k, n) threshold method is well known. However, Shamir's method has a problem in that general access structures cannot be realized. This paper shows that by providing the trustees with several information data concerning the distributed information of the (k, n) threshold method, any access structure can be realized. the update with the change of the secret trustees and the relation to the threshold graph are also discussed.

Noise suppression with high speech quality based on weighted noise estimation and MMSE STSA

Abstract: This paper proposes a high speech quality noise suppression method based on weighted noise estimation and MMSE STSA. The proposed method continuously updates the noise estimate, using weighted noisy speech according to the estimated speech-to-noise ratio. In order to fully utilize the improvement offered by noise estimation, the spectral gain is corrected according to the estimated speech-to-noise ratio. By using accurate noise estimation, more accurate SNR than in the conventional method is obtained, which helps to reduce distortion in the enhanced speech. In subjective speech quality evaluations, the five-stage MOS was improved by 0.35 and 0.40 at the maximum, respectively, for the cases in which the speech was encoded and was not encoded after noise suppression. The improved version, which was developed on the basis of the proposed noise suppressor, satisfies all 3GPP minimum requirements for speech quality and has been installed in a commercially available model. © 2005 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 89(2): 43–53, 2006; Published online in Wiley InterScience (www.interscience. wiley.com). DOI 10.1002/ecjc.20145

On-line learning method for EMG prosthetic hand control

Abstract: This paper proposes a novel learning method for prosthetic hand control. Conventional works have used off-line learning methods for control, and hence two kinds of training must be carried out separately: one is for the amputee to control prosthetic hands, and the other is for the prosthetic hand controller to adapt to the amputee's variations. Consequently, an amputee cannot acquire the sensations of operating prosthetic hands through training, and nevertheless he or she is likely to experience difficulties in forcing the prosthetic hand controller to follow the change of his or her own characteristics in practical use. We accordingly design an on-line learning mechanism which can adapt to the individual's characteristics in real time. Using this mechanism, a suitable mapping function of the surface electromyogram (EMG) to motions of prosthetic hands can be acquired according to the amputee's evaluation in practical use. Thereby, the mechanism realizes a shortening of training time and adaptation to individual variation in real time. The experiments succeeded in discriminating six forearm motions to verify the proposed method. First, we use intrinsic exercise images to control a prosthetic hand, and compare our on-line method with one conventional off-line method. Second, we use EMG signals on shoulder girdles to control the prosthetic hand for upper elbow amputation. The discrimination rate in forearm EMG experiments is 89.9% by our method and 80.3% by the conventional method. Moreover, we show the possibility of applying the on-line learning method to upper elbow amputees, because a discrimination rate of 79.3% is achieved by our method in shoulder girdle EMG classification. © 2001 Scripta Technica, Electron Comm Jpn Pt 3, 84(10): 35–46, 2001

Gesture recognition using an acceleration sensor and its application to musical performance control

Abstract: It is understood that nonverbal means of communication are more important than verbal communication in the transmission of intention or emotion. Gestures using body or hand are typical nonverbal means of communication. Human intention or emotion appears to be expressed to a greater extent by the force applied to the body than by the position of the hand. The authors noted that the force acting during motion can be sensed as an acceleration and therefore attempted recognition of gestures with a three-dimensional acceleration sensor. In the experiments using this system, the changes of the acceleration, the rotational force, and the directional distribution of the acceleration are determined from the sequential three-dimensional acceleration data, as features of the motion. By examining the extent of matching to standard patterns, ten kinds of gestures can be discriminated with a nearly 100 percent recognition rate. A real-time music control system is also constructed by applying the proposed method. Compared to the conventional methods using image processing or the data gloves, in the new system the delay in tempo detection is shorter and the mechanism is simpler. The system gives a clue to the design of flexible and sensitive man-machine interfaces based on gesture. © 1997 Scripta Technica, Inc. Electron Comm Jpn Pt 3, 80(5): 9–17, 1997

A network model based on qubitlike neuron corresponding to quantum circuit

Abstract: Investigations into quantum computations have begun from the pioneering theoretical studies of Feynman, Deutsch, and others, and detailed studies have been done since the discovery of a quantum algorithm which can solve the problem of factorizing a large integer in polynomial time by Shor in 1994. Recently, the existence of nonalgorithmic quantum computations in microtubules inside a neural circuit has been debated, resulting in the proposal of the concept of the quantum neural computation theory, although detailed studies have not as yet been made. In this paper, in order to construct a new framework for describing the cohesiveness of the distribution and synthesis inherent in a neural network, a neural state is described quantum dynamically and a qubitlike neural network corresponding to the quantum circuit of quantum computations is studied. Specifically, a qubitlike neural network is constructed for a 3-bit quantum circuit, which is the minimum quantum logical gate describing all basic logical operations, and in this model we investigate how to determine circuit parameters by learning. © 2000 Scripta Technica, Electron Comm Jpn Pt 3, 83(10): 67–73, 2000