Anritsu Corporation

Ken Shioiri

Yoshifumi Takahashi

Shintaro Inagaki

Noriyuki Kodama

Masaru Honma

Takao Tanimoto

Hideyuki Sakamoto

Masaaki Fuse

Takahisa Iwamoto

Takahasi Iwamoto

A highly reliable signal analysis is performed by suppressing over-learning and appropriately distinguishing an abnormal signal. A signal analysis deviceincludes a data storage unitwhich stores digital data of a measured signal, a training data storage unitwhich stores training data to which a label of normality or abnormality is attached, a plurality of machine learning classifierswhich identify whether the measured signal is normal or abnormal by comparing the digital data of the measured signal stored in the data storage unitwith an identification boundary value and output identification results according to machine learning by the training data, and a determination unitwhich determines whether the measured signal is normal, abnormal, or uncertain by comparing the identification results of the plurality of machine learning classifierswith a determination threshold value.

Signal analysis device, signal analysis method, and signal analysis program

A material property inspection apparatus includes a conveyance unit, a light source, an irradiation unit, a light receiving unit, a signal detection unit, a material property value input unit, an inspection set value input unit, and a processing unit. The processing unit calculates a relation equation between the material property value from the material property values of the plurality of test pieces and the light intensity of the transmitted light or the reflected light of respective test pieces, calculates the material property value of the inspected object from the light intensity of the transmitted light or the reflected light detected by the signal detection unit and the relation equation, compares the calculated material property value of the inspected object with the inspection set value inputted from the inspection set value input unit, and determines the quality of the inspected object.

Material property inspection apparatus

Apparatus for detecting foreign matter with high selectivity and high

Coin discriminating apparatus

The present invention relates to a coin discriminating apparatus for discriminating the thickness, material, diameter, and the like of a coin at high precision. A transmission coil (11) receives an AC signal generated by an AC signal generating unit (24) and applies an alternating magnetic field to a coin (C) to be discriminated. A reception coil (12) detects an electromotive force induced when the the transmission coil (11) applies the alternating magnetic field on the coin to be discriminated. A detection signal generating unit (27) generates a detection signal having a predetermined phase with respect to the AC signal generated by the AC signal generating unit (24). A phase detecting unit (26) phase-detects the electromotive force detected by the reception coil (12) in accordance with the detection signal generated by the detection signal generating unit. Discriminating units (28-31) discriminate at least one of the thickness, material, and diameter of the coin to be discriminated on the basis of a signal output from the phase detecting unit (26). Since the thickness, material, and diameter of the coin are independently separately detected, the denomination of the coin can be discriminated at high precision.

Coin diameter discriminating apparatus

Growing community of inventors

Atsugi, Japan

Ken Shioiri