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    HEALTH CHECK PATH EVALUATION INDICATOR BUILDING SYSTEM, METHOD THEREOF, DEVICE THEREWITH, AND COMPUTER PROGRAM PRODUCT THEREIN
    2.
    发明申请
    HEALTH CHECK PATH EVALUATION INDICATOR BUILDING SYSTEM, METHOD THEREOF, DEVICE THEREWITH, AND COMPUTER PROGRAM PRODUCT THEREIN 有权
    卫生检查路径评估指标体系，其方法，设备及其计算机程序产品

    公开(公告)号：US20140168246A1

    公开(公告)日：2014-06-19

    申请号：US13870999

    申请日：2013-04-26

    Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

    Inventor： Szu-Han Tzao ,  Jung-Ping Chen ,  Yin-Pin Yang ,  Yue-Min Jiang ,  Yu-Chieh Pan

    IPC: G06T1/00

    CPC classification number: A61B5/00 ,  G06F19/00 ,  G06F19/30 ,  G16H40/63 ,  G16H50/20 ,  G16H50/70

    Abstract: A health check path evaluation indicator building system and a method thereof, a device therewith and a computer program product thereof are provided. The health check evaluation indicator building method includes the following steps. A visualization process is performed to produce source graphic data on a plurality of features and attributes according to a time series, wherein each of the source graphic data includes a group number. Then, a similarity comparison is performed between the source graphic data and a plurality of target graphic data with the same group number to produce a plurality of similarity scores, where the minimum thereof corresponds to role model graphic data. Based on the role model graphic data, one of a best proposal and an alternative proposal is selected and a result thereof is fed back after execution. The disclosure also includes the health check evaluation indicator building system to embody the above method.

    Abstract translation: 提供了健康检查路径评估指示器构建系统及其方法，装置及其计算机程序产品。 健康检查评估指标的构建方法包括以下步骤。 执行可视化处理以根据时间序列产生关于多个特征和属性的源图形数据，其中每个源图形数据包括组号。 然后，在源图形数据和具有相同组号的多个目标图形数据之间进行相似性比较，以产生多个相似性分数，其中最小值对应于角色模型图形数据。 基于角色模型图形数据，选择最佳提案和替代方案之一，并在执行后反馈其结果。 披露内容还包括体现上述方法的健康检查评估指标体系。

    SYSTEM AND METHOD FOR OBJECT RECOGNITION
    4.
    发明申请
    SYSTEM AND METHOD FOR OBJECT RECOGNITION 有权
    用于对象识别的系统和方法

    公开(公告)号：US20170053393A1

    公开(公告)日：2017-02-23

    申请号：US14973676

    申请日：2015-12-17

    Applicant: Industrial Technology Research Institute

    Inventor： Szu-Han Tzao ,  Yue-Min Jiang ,  Chih-Jen Hsu ,  Ho-Hsin Lee ,  Tsai-Ya Lai ,  Duan-Yu Chen

    IPC: G06T7/00 ,  G06F17/30 ,  G06T7/40 ,  G06K9/46 ,  G06K9/62

    CPC classification number: G06T7/0004 ,  G06F17/30259 ,  G06F17/3028 ,  G06K9/46 ,  G06K9/6215 ,  G06K9/6267 ,  G06K9/6293 ,  G06K2009/4666 ,  G06K2209/17 ,  G06T7/40 ,  G06T7/73 ,  G06T2207/30128

    Abstract: A system for object recognition includes an image/spectrum sensing device, to fetch an object image from a real object and sense spectra at sensing regions of the real object. A fetching module obtains a real-object image feature pattern for each ROI of the object image. An analyzing module for object image feature searches for a first candidate object from data bank and analyzes a correlation between the real object and candidate object. A fetching module for object spectrum feature obtains a real-object spectrum pattern for each ROI of the object image. An analyzing module for object spectrum feature is to search for a second candidate object from data bank and to further analyze a match level between the real-object and the second candidate object. A fusion module further analyzes information of image feature and spectrum feature find whether or not having a matched object as an identify object.

    Abstract translation: 用于对象识别的系统包括图像/频谱感测装置，从真实对象获取对象图像并感测真实对象的感测区域处的光谱。 提取模块获取对象图像的每个ROI的实体图像特征图案。 用于对象图像特征的分析模块从数据库中搜索第一候选对象，并分析真实对象和候选对象之间的相关性。 用于对象光谱特征的获取模块获得对象图像的每个ROI的实际光谱图案。 用于对象频谱特征的分析模块是从数据库搜索第二候选对象，并进一步分析实体和第二候选对象之间的匹配级别。 融合模块进一步分析图像特征和频谱特征的信息，查找是否具有匹配对象作为识别对象。

    INFLUENCE-BASED SOCIAL MEDIA INTERVENTIONS IN HEALTHCARE
    5.
    发明申请
    INFLUENCE-BASED SOCIAL MEDIA INTERVENTIONS IN HEALTHCARE 审中-公开
    基于影响的社会媒体卫生干预措施

    公开(公告)号：US20140185954A1

    公开(公告)日：2014-07-03

    申请号：US13729455

    申请日：2012-12-28

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION ,  INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

    Inventor： Mark JH Hsiao ,  Yue-Min Jiang ,  June-Ray Lin ,  Alfred SH Tzao ,  Xinxin Zhu

    IPC: H04L29/06 ,  G06T5/00

    CPC classification number: G06T5/003 ,  G06K9/00335 ,  G06K9/00677 ,  G06Q10/10 ,  G06Q50/01 ,  H04L67/1044 ,  H04L67/22 ,  H04W4/08 ,  H04W4/21

    Abstract: A method for matching social network participants includes receiving activity data pertaining to a plurality of participants in a social network. The activity data is parsed to generate activity pattern summaries for each of the participants. The participants are clustered into a plurality of groups according to the activity pattern summaries. At least one participant of influence is determined within at least one group according to the activity data. A social connection is established within the social network between the determined participant of influence and at least one other participant clustered into the same group.

    Abstract translation: 用于匹配社交网络参与者的方法包括接收与社交网络中的多个参与者有关的活动数据。 解析活动数据以生成每个参与者的活动模式摘要。 参与者根据活动模式摘要聚类成多个组。 根据活动数据，至少在一个组内确定至少一个影响参与者。 在所确定的影响参与者和至少一个其他聚集到同一组中的参与者之间的社交网络内建立社交关系。

    Medical image comparison method and system thereof
    8.
    发明授权
    Medical image comparison method and system thereof 有权

    公开(公告)号：US10510145B2

    公开(公告)日：2019-12-17

    申请号：US15855082

    申请日：2017-12-27

    Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

    Inventor： Jian-Ren Chen ,  Guan-An Chen ,  Su-Chen Huang ,  Yue-Min Jiang

    IPC: G06T7/00 ,  G06K9/62 ,  G06K9/46 ,  G06T7/33 ,  G06K9/20 ,  G06T7/11 ,  A61B3/00 ,  A61B3/14 ,  A61B3/12

    Abstract: A medical image comparison method is firstly to obtain plural images of the same body at different time points. Then, obtain a first feature point group by detecting feature points in the first image captured at a first time point, and a second feature point group by identifying feature points in the second image captured at a second time point. An overlapping image information is generated by aligning the second image with the first image according to the first and second feature point groups. Then, window areas corresponding to a first matching image and a second matching image of the overlapping image information are extracted one by one by sliding a window mask, and an image difference ratio for each of the window areas is calculated. In addition, a medical image comparison system is also provided.

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