Yamaha Hatsudoki Kabushiki Kaisha

Other

Matsushita Electric Industrial Co., Ltd.

Panasonic Corporation

Yamaha Motor Company Ltd

Yamaha Hatsudoki K.k.

Masashi Yamaguchi

Ichikai Kamihira

Masaya Miyazaki

Hirotaka Kaji

Yukio Matsushita

Hiroshi Harada

Hiroshi Yamaguchi

Shigeki Hashimoto

Takashi Kamada

Takahiro Yamada

Sergei V Ulyanov

Yoko Fujime

Toshisuke Sakai

Tomonori Kumagai

Yuusaku Ohta

Hiroki Yamauchi

Toshihiko Matsuda

Kazuyuki Kasahara

Takaaki Mizutani

Hiroaki Takechi

Motohiko Matsuguma

Seiya Yamazaki

Takeshi Yonekura

Hajime Kita

Teruhide Kita

Yasumasa Fukami

Yasuhiko Ezaki

Tsuneo Danno

Takashi Ehara

Yoshiki Uchikawa

Takeshi Furuhashi

A global platform card manager of the IC card chip includes a conditional access software decoding part. A decoding key specific to each conditional access software vendor and a key identification number corresponding to the decoding key are preset in the conditional access software decoding part. The conditional access software encrypted by the conditional access software vendor is decoded using the decoding key designated by the key identification number in the conditional access decoding part, when received.

Digital cable television broadcasting receiver

A security communication packet processing apparatus () comprises an encryption processing unit () that performs encryption processing and decryption processing in a data block unit of B1 bits, an authentication processing unit () that performs authentication processing in a data block unit of B2(=n&#xd7;B1) bits in parallel to the encryption processing or the decryption processing in the encryption processing unit () and outputs an authentication value, a data block accumulation unit () that accumulates the data blocks from the encryption processing unit () and outputs the data blocks to the authentication processing unit () when the accumulated amount of the data blocks reaches B2 bits, a packet construction unit () that reconstructs a packet with the data blocks from the encryption processing unit () and the authentication value from the authentication processing unit (), and an encryption and authentication processing control unit () that divides the inputted packet into the data blocks of B1 bits and outputs the data blocks sequentially to the encryption processing unit.

Security communication packet processing apparatus and the method thereof

The Skateboard Truck Mounting System is a mounting system for the attachment of a skateboard wheel truck to the deck of a skateboard. This system provides quick and easy adjustment to incrementally reposition a skateboard wheel truck assembly in a number of predetermined locations along the length of underside of the skateboard deck. This system may be utilized on new or existing decks to achieve personalized sizing and performance characteristics for a skateboard rider.

Skateboard truck mounting system

The invention provides an optimization device for a unitary apparatus that can obtain optimum characteristics as a combined apparatus, without losing user's selectivity and unitary apparatus's versatility. The optimization device includes an optimization process section that optimizes dynamic characteristics of the unitary apparatus using genetic algorithms and fuzzy inference, with functional characteristics of a combined apparatus as evaluation reference.

Control system of optimizing the function of machine assembly using GA-Fuzzy inference

The data processing system includes I/O units for transmitting and receiving data, control units for processing the data, and a common bus unit including a common bus. Function cards in each unit are daisy-chained to I/O buses having characteristics to support hot-swapping, and both ends of the I/O buses are terminated with resistors respectively. The units are daisy-chained to the common bus, and both ends of the common bus are terminated with resistors respectively. Drivers/receivers drive each bus to transmit and receive data between the common bus and the I/O buses.

Data processing system

Real-time optimization is conducted for a control device having a fuzzy inference system that can optimize characteristics of the control device in real time, by coding parameters used in the fuzzy inference system into chromosomes, and optimizing in real time the output of the control device by subjecting the chromosomes to evolutionary computation. Coding is conducted by (i) revising a matrix of fuzzy rules used in the system by extracting a section from the matrix and coding elements of the section into chromosomes; (ii) modifying the configuration of the fuzzy rule matrix defined by membership functions by coding elements of the membership functions into chromosomes; or (iii) changing a level of an input of the parameters and a level of an output of the fuzzy inference system.

Method of real-time optimization of control device equipped with fuzzy inference system

A technique for estimating the best children (i.e. the next generation of individual chromosomes) for use by an online genetic analyzer (GA) is described. One embodiment provides a method for evaluation of a GA in a control system for controlling a plant. Individuals are evaluated using data for evaluation. The data for evaluation is categorized into subdomains of a larger evaluating domain. Data for evaluation is sorted into an evaluation domain wherein an evaluation value of each individual is replaced by a model of coefficients relative to a standard model. The standard model is used to calculate an evaluation value. The evaluation value can include a mean value and/or a distribution. Moreover, the mean value and distribution can be valid for an area including a periphery of the subdomain. The evaluation value can be calculated as a model obtained by using a least-squares method to find coefficients relative to coefficients of the standard model.

Method for evaluation of a genetic algorithm

A reduced control system suitable for control of an engine as a nonlinear plant is described. The reduced control system is configured to use a reduced sensor set for controlling the plant without significant loss of control quality (accuracy) as compared to an optimal control system with an optimum sensor set. The control system calculates the information content provided by the reduced sensor set as compared to the information content provided by the optimum set. The control system also calculates the difference between the entropy production rate of the plant and the entropy production rate of the controller. A genetic optimizer is used to tune a fuzzy neural network in the reduced controller. A fitness function for the genetic optimizer provides optimum control accuracy in the reduced control system by minimizing the difference in entropy production while maximizing the sensor information content.

System for intelligent control of an engine based on soft computing

A method for managing files in a library in a manner to access files in a library operating with a plurality of preservation recording media storing data as files, while copying data more highly required to be reproduced to another storage device of high-speed access, including recording a playback request of the file when required; creating frequency information of the playback request of each file according to the playback request; and copying a file that is judged to have very frequent playback request, at specified time intervals or when the number of the playback requests reaches a specified value. Therefore, more requests from terminal units can be accepted to transmit files than when copied only to a hard disk as the storage device of high-speed access.

Method for managing optical disk library files in accordance with the frequency of playback requests selected simultanenously at a specified time intervals

The invention provides a pilot control device that enables optimum pilot depending on user's preference and use environment. The pilot control device includes a control module and an optimum process device, with regard to a watercraft having an apparatus affecting pilot control. The control module determines output regarding a manipulated variable of the device affecting pilot control based on predetermined input information. The optimum process device optimizes, in real time, the control module, with the characteristics of a watercraft as an evaluation subject.

Apparatus for controlling watercraft pilot control

In an output controlling method for controlling output of a driving power source or motor installed in a vehicle, the relationship between a primary output-controller, which is manipulated by the user, and a secondary output-controller, which directly operates the motor, is regulated by control parameter subjected to evolution by using evolutionary computing based on at least one of the following: the user's characteristics, driving conditions, environmental changes, and deterioration of the drive power source with time. The evolution is conducted on-line or on a real-time basis. The primary output-controller includes an acceleration pedal or grip, and the secondary output-controller includes a throttle valve for an internal combustion engine or a running current controller for an electric motor.

Evolutionary controlling system for motor

A vortex flow meter includes a measuring tube in which a fluid is carried, a vortex generator provided in the measuring tube for developing a Karman vortex in the fluid, a magnetic field generator generating a magnetic field across the measuring tube downstream of the vortex generator, a pair of electromotive force measuring electrodes provided downstream of the vortex generator for measuring an electromotive force generated by the Karman vortex passing across the magnetic field, a pair of reference electrodes provided at locations upstream and downstream of the electromotive force measuring electrodes, respectively, for measuring a potential at each location, and a detector circuit electrically connected to the electromotive force measuring electrodes and the reference electrodes for calculating the flow of the fluid from the electromotive force and the potential measured by the reference electrodes. The flow is calculated by subtracting the potential difference of the reference potential measuring electrodes from the electromotive force measured by the electromotive force measuring electrodes. This allows the flow meter to have an increased measuring range, meet a wide range of flow conditions, have a simple construction, and have measurement accuracy.

Vortex flow meter

A data estimation capability using a FNN to estimate engine state data for an engine control system is described. The data estimation capability provides for making data relating to the engine state available as control parameters in a simple, inexpensive manner. The data estimation includes using data from one or more sensors as inputs to a FNN to estimate unmeasured engine operating states. The data estimates are provided as control parameters to an engine control system. The FNN can be used to provide data estimates for engine state values (e.g. the exhaust air fuel ratio, the exhaust NO . value, the combustion chamber temperature, etc.) that are too difficult or too expensive to measure directly. Each FNN can be configured using a genetic optimizer to select the input data used by the FNN and the coupling weights in the FNN. For example, the air/fuel ratio in the engine exhaust is estimated from the crank-angle acceleration, the crank angle, the engine speed, the air intake volume, the intake air vacuum, the ignition timing, the valve timing angle, and/or the EGR valve control; thereby eliminating the need for an O sensor in the exhaust.

Method and apparatus for estimating data for engine control

Optimization of a FNN (FNN)-based controller is described. The optimization includes selecting which input signals will be used by the FNN to compute a desired control output. Output parameters are identified and computed by fuzzy reasoning using a neural network. Adjustment of fuzzy rules and/or membership functions for the FNN is provided by a learning process. The learning process includes selecting candidate input data signals (e.g. selecting candidate sensor signals) as inputs for the FNN. The input data is categorized and coded into a chromosome structure for use by a genetic algorithm. The genetic algorithm is used to select an optimum chromosome (individual). The optimum chromosome specifies the number(s) and type(s) of input data signals for the FNN so as to optimize the operation of the FNN-based control system. The optimized FNN-based control system can be used in many control environments, including control of an internal combustion engine.

Method for optimization of a fuzzy neural network

An autonomic system for updating a fuzzy neural network includes a process of calculating an estimated value based on fuzzy inference by using a neural network structure, wherein a parameter to be adjusted or identified by fuzzy inference and outputted from the neural network is made to correspond to coupling loads which are updated by learning, i.e., fuzzy rules and membership functions are adjusted by learning. This system is characterized in that the addition and deletion of fuzzy rules are conducted based on changes in output errors in an autonomic manner, thereby effectively obtaining appropriate numbers of fuzzy rules optimal for an object such as a vehicle engine having strong non-linearity. Fuzzy rules are formed by a combination of membership functions representing variables such as an engine speed and a throttle angle.

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Shizuoka, Japan

Masashi Yamaguchi