Honda Giken Kogyo Kabushiki Kaisha

Kokusai Denshin Denwa Co., Ltd.

Ddi Corp.

Masaru Enomoto

Shinichi Takahashi

Toshikane Oda

Hiroki Horiuchi

Kenji Kimura

Kazuo Ishii

Shinji Motegi

Youtaro Yatsuzuka

Keiichi Kawada

Makoto Nakada

Yasunori Konishi

A group communication system includes a plurality of mobile terminals with member-attribute information, and a center component for collecting location information of the mobile terminals. The center component includes a group generation device for generating a group based on a group-area information and a group-attribute information which are specified, and a group member management device for always monitoring joining and leaving of the mobile terminals with the location information and the member-attribute information which correspond to the group-area information and the group-attribute information of the group, respectively.

Group communication system for mobile terminals having real time communication capabilities

Process for evaluating life of article subjected to thermal cycles based on comparison of strain rates measured under evaluating conditions and actual service conditions

A reiterative learning procedure with training and test processes for a binary supervised neural network includes at least an error signal generator for weighting factor updating in the training process, which generates an error signal that is perturbed in polarity and amplitude in the difference derived by subtracting an output unit signal from corresponding binary teacher signal and then generates the difference as an error signal after a maximum absolute value of differences among erroneous binary output signals has become smaller than a threshold once. A training signal memory stores a set of training signals and adds test signals providing erroneous binary output signals that are transferred from a test signal memory in the test process to the set of training input signals as incremental training input signals. An affordable signal memory stores input signals with sufficiently large margins providing correct binary output signals that are transferred from the training signal memory in the training process and the test signal memory in the test process. The reiterative learning procedure, with minimum necessary training and test input signals and control of the error perturbation in the training process, can provide a binary space to obtain a desired binary output, and also realizes an extremely high generalization ability.

Learning procedure for multi-level neural network

A valve-actuating mechanism for an internal combustion engine having two intake valves and one exhaust valve for each cylinder. The two intake valves are on one lateral side of the engine centerline and the exhaust valve and ignition source are on the other side. A cam shaft is disposed along a straight line substantially equidistant from the intake valves and the exhaust valve. Valve-actuating cams are mounted on the cam shaft. Intake rocker arms and exhaust rocker arms are pivotally mounted on the rocker arm shafts supported on the cylinder head and extending in parallel to the cam shaft. At least one of the two intake rocker arms and the exhaust rocker arm are formed to have the same dimensions to make them interchangeable.

Valve-actuating mechanism for three-valve internal-combustion engine

Growing community of inventors

Saitama, Japan

Masaru Enomoto