Matsushita Electric Industrial Co., Ltd.

Noboru Wakami

Hiroyoshi Nomura

Isao Hayashi

Kazuyuki Aihara

Masahiro Deguchi

Shoichi Araki

Michiyoshi Nagashima

Makoto Ichinose

Tomio Yoshida

Shunji Harigae

Mitsuro Moriya

Eiichi Naito

Takeshi Imanaka

Yasuhiro Goto

Hiroshi Akahori

Yo Egusa

Kazuharu Shiragami

Hiroyashi Nomura

Chaos applied apparatus

An apparatus and method for heating microwave oven using a deterministic chaotic signal. The microwave oven includes a heating compartment, a magnetron for generating microwaves, a waveguide for directing the microwaves into the heating compartment and a chaotic signal generator for driving the magnetron. The characteristics of the chaotic signal are adjusted to tend to vary the output energy of the magnetron and increase the uniformity of the microwaves in the heating compartment.

Apparatus and method for microwave heating using chaotic signals

An apparatus and method for heating a microwave oven using a deterministic chaotic signal. The microwave oven includes a heating compartment, a magnetron for generating microwaves, a waveguide for directing the microwaves into the heating compartment and a chaotic signal generator for driving the magnetron. The characteristics of the chaotic signal are adjusted to tend to vary the output energy of the magnetron and increase the uniformity of the microwaves in the heating compartment.

A rotary nozzle device is described. The device includes plural rotatable hollow links which are mutually passable through, a pump for feeding a pressurized fluid into the hollow links, and at least one fluid injection port in at least one hollow link of the nozzle. Moreover, the fluid is injected from the injection port while the hollow link is rotated by the force of the fluid pressurized by the pump, and the motion of the injection port is set in chaotic state by adjusting a structural characteristic of the nozzle.

A fuzzy inference device determines an inference operational quantity in accordance with inference rules each constituted by an antecedent and a consequent. An inference rule division determiner which receives data of input variables and output variables so as to determine the number of the inference rules. An antecedent neural element obtains a membership value corresponding to an antecedent of a specific inference rule from the divided data of the input variables and the output variables. A situational change processor adaptively determines an inference quantity of a consequent of each inference rule in the case of a change of an initial state or inference situations. An inference operational quantity determiner receives outputs from the antecedent neural element and the situational change processor and performs fuzzy inference in accordance with the inference rules so as to determine the inference operational quantity. An evaluator evaluates, on the basis of an evaluation reference, the inference operational quantity outputted by the inference operational quantity determiner.

Fuzzy inference device using neural network

An apparatus and method for automatically generating and adjusting fuzzy reasoning, i.e. logic, rules based on changes in the reasoning error. The apparatus includes a fuzzy reasoning section that performs fuzzy logic based on the fuzzy reasoning rules stored in the a rule memory. The parameters of the fuzzy reasoning rules are adjusted in a parameter tuning section based on the output of the fuzzy reasoning section and predetermined input and output data. A reasoning error calculation section calculates a reasoning error and a change in the reasoning error based on the results from the fuzzy reasoning section and the predetermined input and output data. The reasoning error calculation section also disables the parameter tuning section when the calculated reasoning error is less than a predetermined first threshold value. When the calculated reasoning error is greater than or equal to the predetermined threshold value and the change in the reasoning error is less than a predetermined second threshold value, a rule generation section generates one or more fuzzy reasoning rules and regenerates the fuzzy reasoning rules stored in the rule memory based on the new fuzzy reasoning rule(s) so that optimal fuzzy reasoning rules are obtained.

Apparatus for automatically generating and adjusting fuzzy reasoning

An apparatus and method for automatically generating and adjusting fuzzy reasoning, rules based on changes in the reasoning error. The apparatus includes a fuzzy reasoning section that performs fuzzy logic based on the fuzzy reasoning rules stored in the a rule memory. The parameters of the fuzzy reasoning rules are adjusted in a parameter tuning section based on the output of the fuzzy reasoning section and predetermined input and output data. A reasoning error calculation section calculates a reasoning error and a change in the reasoning error based on the results from the fuzzy reasoning section and the predetermined input and output data. The reasoning error calculation section also disables the parameter tuning section when the calculated reasoning error is less than a predetermined first threshold value. When the calculated reasoning error is greater than or equal to the predetermined threshold value and the change in the reasoning error is less than a predetermined second threshold value, a rule generation section generates one or more fuzzy reasoning rules and regenerates the fuzzy reasoning rules stored in the rule memory based on the new fuzzy reasoning rule(s) so that optimal fuzzy reasoning rules are obtained.

The apparatus of the present invention for determining existential conditions of objects on a certain detecting region, includes: a temperature distribution detecting section for obtaining a thermal image including a plurality of elements each having temperature data by detecting the temperature distribution on the detecting region; an element classifying section for classifying the plurality of elements in the thermal image into at least two groups, all elements belonging to one of the groups being in a certain temperature range, the temperature range of the one group being distinct from a temperature range of another one of the groups; a group selecting section for selecting at least one group of a relatively higher temperature range in the thermal image from the at least two groups; an element selecting section for selecting, among elements included in the selected group, elements having temperature data indicative of local temperature peaks in the thermal image; and an output section for outputting the number of the selected elements by the element selecting means as the number of objects on the detecting region.

Occupant condition determining apparatus

The fuzzy inference apparatus is provided to effect the tuning operation of the fuzzy inference with the use of the descent steps from the input/output data to be obtained from the specialists, the inputs of the users, and to automatically produce the desired fuzzy inference rules not by the trial and error, whereby the optimum inference rule can be obtained by the descent steps, and the specialists' knowledge and khow-how can be easily mounted on the appliances as the inference rules.

Fuzzy inference apparatus with membership function adjustment

A fuzzy data processing device includes a data input portion for inputting data and first and second fuzzy regression model memories for storing first and second fuzzy regression models, respectively. In each fuzzy regression model, all coefficients are denoted as fuzzy values. A fitting degree calculator is provided to calculate a degree of fitting of the first fuzzy regression model to the second fuzzy regression model. A maximum detector detects the maximum of the calculated fitting degree. Thus, the estimated value (y*) is obtained at which the maximum degree of the fitting of fuzzy values Yx and Yz, i.e., the grade peak point of the overlapping portion, is observed.

Fuzzy regression data processing device

An inference conducted by use of fuzzy knowledge can be directly written in inference rules. It is possible to use ambiguous language expressions and freely describe flexible knowledge, although ambiguous, in a knowledge base. The user specifies execution priority orders or conviction degrees of inference rules such that even when an antecedent contains a confirmative or determinant action, a contention between rules is prevented. An intermediate results of a fuzzy inference is passed in a form of a real number or a fuzzy label to the next inference to achieve a fuzzy multi-stage inference. A multi-stage inference conducting a backtrack operation based on fuzzy knowledge is implemented to reflect a user's ambiguous knowledge. An inference method associated with a best value retrieval function is provided, in contrast to the conventional method in which a fuzzy inference and a binary logic inference are continuously achieved from an upper-level retrieval or search point to a lower-level retrieval point in a one-directional manner.

Fuzzy-boolean multi-stage inference apparatus

In a device for reproducing the information, especially the video signal optically, magnetically or otherwise recorded on the spiral or concentric track on a disk-shaped recording medium, a control system for controlling the radially inward or outward shift or jump of a reproduction transducer from one track to another for effecting, in addition to the normal reproduction, the special effect reproductions such as still picture, slow, fast and reverse motions. The control system comprising a shifting means for shifting or jumping the transducer in the radial directions substantially perpendicular to the tracks, a control means for maintaining the transducer to scan the desired track, and a detecting means for detecting whether or not the transducer has been shifted or jumped and brought to the desired track and generating the output signal in response to which the shifting means is disabled to decelerate and stop the shifting or jumping of the transducer.

Control system for optical information signal reproduction device

An optical reproducing device for reproducing still image signals recorded on circular tracks and moving image or audio signals recorded on spiral tracks on a disk. Concentric and spiral tracks may be intermingled on the same disk. The address signals for each concentric track or each coil of a spiral track are previously recorded. When the address signals are reproduced, they are processed so as to detect whether the readout address signals changes with time, thereby detecting whether the accessed track is concentric or spiral. An optical head drive system is controlled in a manner depending on whether the track is circular or spiral, so that an optical head can scan the desired concentric or spiral track.

Optical recording and/or reproducing device

In an optical recording device in which the writing laser light beam is focused to a small spot on a disk which is coated with a photosensitive medium and spins at a predetermined velocity so that the data are recorded in terms of variable density or surface irregularities, the forward DC current applied to a semiconductor laser is varied depending upon the radius position of the writing laser beam spot on the disk but the AC current which is superposed on the DC current and rises or drops above or below the DC current level by a predetermined amplitude depending upon the data to be recorded is maintained constant regardless of the radius position of the writing laser beam spot, whereby the duty ratio can be maintained constant regardless of the distance from the center of the disk of a selected recording track.

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Hirakata, Japan

Noboru Wakami