ANALYSIS DEVICE, ANALYSIS SYSTEM, ANALYSIS METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20230085797A1

    公开(公告)日:2023-03-23

    申请号:US17653193

    申请日:2022-03-02

    IPC分类号: G05B19/4093

    摘要: According to one embodiment, an analysis device performs an analysis related to a plurality of tasks of a manufacturing process. The analysis device receives an image when each of the plurality of tasks is performed. The analysis device receives the images from an imaging device acquiring the images. The analysis device receives a detection signal from a tool used in at least one of the plurality of tasks. The detection signal is detected by the tool. The analysis device refers to end determination data for determining an end of each of the plurality of tasks. The analysis device determines the end of each of the plurality of tasks based on the images, the detection signal, and the end determination data.

    INFORMATION COLLECTION SYSTEM AND INFORMATION COLLECTION METHOD
    3.
    发明申请
    INFORMATION COLLECTION SYSTEM AND INFORMATION COLLECTION METHOD 审中-公开
    信息收集系统和信息收集方法

    公开(公告)号:US20170038462A1

    公开(公告)日:2017-02-09

    申请号:US15227445

    申请日:2016-08-03

    IPC分类号: G01S11/06 G01S1/02 H04W24/08

    摘要: According to one embodiment, an information collection system comprises a transmitter, a receiver, and a processor. The transmitter emits a signal. The receiver receives the signal. The processor calculates a distance between the transmitter and the receiver from a strength of the signal received by the receiver. The processor calculating the distance between the transmitter and the receiver from the strength of the signal for each of the signals received during a first interval, and using an average distance as the distance between the transmitter and the receiver, the average distance being obtained by averaging the plurality of calculated distances.

    摘要翻译: 根据一个实施例,信息收集系统包括发射机,接收机和处理器。 发射机发射信号。 接收器接收信号。 处理器根据接收机接收到的信号的强度来计算发射机和接收机之间的距离。 处理器根据第一间隔期间接收到的每个信号的信号强度以及使用平均距离作为发射机和接收机之间的距离来计算发射机和接收机之间的距离,通过平均获得的平均距离 多个计算出的距离。

    CALCULATING DEVICE, DATA BASE SYSTEM, CALCULATION SYSTEM, CALCULATION METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20200226110A1

    公开(公告)日:2020-07-16

    申请号:US16743016

    申请日:2020-01-15

    摘要: According to one embodiment, a calculating device performs at least a calculation for a database system. A database of the database system is split into a plurality of partitions and placed in a plurality of nodes. The device is configured to accept statistical information relating to the plurality of partitions and the plurality of nodes and being collected by the plurality of nodes, and generate fluctuation information by using the statistical information and perturbation information. The perturbation information corresponds to statistical fluctuation of the statistical information. The device is configured to calculate a placement of the plurality of partitions in the plurality of nodes by using the statistical information and the fluctuation information. The placement is capable of improving a performance of the database system.

    TRAINING DEVICE, ANALYSIS DEVICE, TRAINING METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20220180149A1

    公开(公告)日:2022-06-09

    申请号:US17472483

    申请日:2021-09-10

    IPC分类号: G06N3/04

    摘要: According to one embodiment, a training device trains a first model. The first model estimates a period of a task from time-series data of an operation of a human. The device acquires first time-series data to which a label of the task is assigned. The device extracts a pattern from a period indicated by the label in the first time-series data. The pattern is used as a feature. The device generates timing data of an appearance timing of the pattern in the first time-series data. The device trains the first model by using the label, the first time-series data, and the timing data.

    TRAINING SYSTEM AND ANALYSIS SYSTEM

    公开(公告)号:US20210081716A1

    公开(公告)日:2021-03-18

    申请号:US17015843

    申请日:2020-09-09

    发明人: Yasuo NAMIOKA

    IPC分类号: G06K9/62

    摘要: According to one embodiment, a training system includes a first generator, a second generator, a third generator, and a trainer. The first generator uses a human body model to generate a first image. The human body model models a human body and is three-dimensional and virtual. The second generator generates a teacher image by annotating body parts of the human body model in the first image. The third generator generates a second image including noise by performing, on the first image, at least one selected from first processing, second processing, third processing, fourth processing, or fifth processing. The trainer uses the second image and the teacher image to train a first model.

    DETECTION SYSTEM AND DETECTION METHOD
    10.
    发明申请

    公开(公告)号:US20190065949A1

    公开(公告)日:2019-02-28

    申请号:US16101925

    申请日:2018-08-13

    发明人: Yasuo NAMIOKA

    IPC分类号: G06N3/08 G06N3/04 G06K9/62

    摘要: According to one embodiment, a detection system includes an acquirer, a trainer, and a detector. The acquirer acquires first data, second data, and third data. The first data is based on an action of a first body part in a first work of a first worker having a first proficiency. The second data is based on an action of the first body part in the first work of a second worker having a second proficiency. The third data is based on an action of the first body part in the first work of a third worker. The trainer trains a recurrent neural network including a first output layer using the first data and the second data. The detector inputs the third data to the trained recurrent neural network and detects a response of the first neuron or the second neuron.