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    • 63. 发明授权
    • Method and system for recognizing daily activities using sensors
    • 使用传感器识别日常活动的方法和系统
    • US07843323B2
    • 2010-11-30
    • US12099476
    • 2008-04-08
    • Joon Ho LimHyun Chul JangJae Won JangSa Kwang SongSoo Jun ParkSeon Hee Park
    • Joon Ho LimHyun Chul JangJae Won JangSa Kwang SongSoo Jun ParkSeon Hee Park
    • G08B29/00
    • A61B5/00A61B5/0002A61B5/6887G08B21/0423
    • There is provided a daily activity recognition system using sensors installed in required positions in a home to recognize daily activities of an old person, the system including: a radio frequency (RF) management unit receiving data measured by a plurality of sensors installed in required positions in a home, recognizing a corresponding sensor transmitting the received data, and converting the received data into a basic activity corresponding to the recognized sensor; a buffer management unit storing the basic activity received from the wireless processing manager in an internal buffer; and a daily activity recognition unit recognizing daily activities of an old person at each point in time previously set, based on the basic activity stored in the buffer. The daily activities of the old person are recognized and stored in a database, thereby providing various services related to the health of the old person.
    • 提供了一种日常活动识别系统,其使用安装在家中所需位置的传感器来识别老年人的日常活动,该系统包括:射频(RF)管理单元,接收由安装在所需位置的多个传感器测量的数据 在家庭中,识别发送所接收的数据的对应的传感器,并将所接收的数据转换为对应于识别的传感器的基本活动; 缓冲器管理单元,将从无线处理管理器接收的基本活动存储在内部缓冲器中; 以及日常活动识别单元,基于存储在缓冲器中的基本活动,识别在先前设定的每个时间点的老人的日常活动。 老年人的日常活动被识别并存储在数据库中,从而提供与老年人健康有关的各种服务。
    • 66. 发明授权
    • Apparatus and method for recognizing biological named entity from biological literature based on UMLS
    • 基于UMLS的生物文献识别生物命名实体的装置和方法
    • US07403891B2
    • 2008-07-22
    • US10777072
    • 2004-02-13
    • Soo Jun ParkTae Hyun KimHyun Sook LeeHyun Chul JangSeon Hee Park
    • Soo Jun ParkTae Hyun KimHyun Sook LeeHyun Chul JangSeon Hee Park
    • G06F17/27G06F17/21G06F7/00G06F17/30G10L15/00
    • G06Q50/22G06F19/00Y10S707/99933Y10S707/99943
    • The present invention relates to an apparatus and method for recognizing biological named entity from biological literature based on united medical language system (UMLS). The apparatus and the method receives metathesaurus from the UMLS, constructs a concept name database, a single name database and a category keyterm database, which are language resources to be used recognize a named entity, receives each concept name stored in the concept name database, extracts features of each of the concept names by using data stored in the single name database and the category keyterm database, constructs a rule database by creating rules used to recognize the named entity and filtering the rules by using the extracted features, receives a biological literature, extracts nouns and noun phrases that are candidate named entities, applies the rules stored in the rule database to the nouns and the noun phrases, and recognizes the named entities. In the present invention, the biological named entities can be effectively extracted which can be used as important information individual in input literature.
    • 本发明涉及一种基于联合医学语言系统(UMLS)从生物文献识别生物命名实体的装置和方法。 该装置和方法从UMLS接收metathesaurus,构建一个概念名称数据库,一个单一名称数据库和一个类别keyterm数据库,它们是用于识别命名实体的语言资源,接收存储在概念名称数据库中的每个概念名称, 通过使用存储在单个名称数据库和类别keyterm数据库中的数据来提取每个概念名称的特征,通过创建用于识别命名实体的规则并通过使用提取的特征来过滤规则来构建规则数据库,接收生物文献 提取作为候选名称实体的名词和名词短语,将存储在规则数据库中的规则应用于名词和名词短语,并识别命名实体。 在本发明中,可以有效地提取生物名称的实体,其可以用作输入文献中个体的重要信息。
    • 67. 发明授权
    • Method for calibrating trabecular index using sawtooth-shaped rack
    • 使用锯齿形机架校准小梁指数的方法
    • US06377653B1
    • 2002-04-23
    • US09498319
    • 2000-02-04
    • Sooyeul LeeHyeon-Bong PyoSeunghwan KimSeon Hee Park
    • Sooyeul LeeHyeon-Bong PyoSeunghwan KimSeon Hee Park
    • G01B1502
    • A61B6/505A61B6/583
    • A method for calibrating a trabecular index with a sawtooth-shaped rack which corrects an error in the trabecular index due to the characteristics of an image input device or radiographic conditions of an x-ray image when a bone mineral density is measured by setting up the trabecular index with trabecular patterns of a simple x-ray image. The present invention includes a method for calibrating the trabecular index with a sawtooth-shaped rack, wherein bone mineral density is measured with the trabecular index calculated from an x-ray image and an error in the trabecular index is calibrated by a method of calibrating the trabecular index, the method includes the following steps. A first step is preparing an x-ray image by radiographing a bone and a sawtooth-shaped rack together. A second step is attaining trabecular indexes from the x-ray image of the rack and the bone. And, a third step is calibrating the trabecular index of the bone with the trabecular index of the rack.
    • 一种用锯齿形齿条校准小梁索引的方法,其通过图像输入装置的特征或者通过设置骨密度来测量骨密度来测量X射线图像的特征时校正小梁指数的误差 小梁指数与小梁模式的简单x射线图像。 本发明包括用锯齿形齿条校准小梁指数的方法,其中用从X射线图像计算的小梁指数测量骨矿物质密度,并且通过校准所述小梁指数的方法来校准所述小梁指数的误差 小梁指数,该方法包括以下步骤。 第一步是通过将骨头和锯齿形架架放在一起来准备X射线图像。 第二步是从架子和骨骼的x射线图像获得小梁指数。 而且,第三步是用骨架的小梁指数校正骨小梁指数。
    • 68. 发明授权
    • Method of establishing range of somatic fat by Gaussian function approximation in computerized tomography
    • 在计算机断层扫描中通过高斯函数近似建立体细胞脂肪范围的方法
    • US06278761B1
    • 2001-08-21
    • US09419486
    • 1999-10-15
    • Seung Hwan KimSeon Hee ParkHyeon Bong Pyo
    • Seung Hwan KimSeon Hee ParkHyeon Bong Pyo
    • A61B603
    • G06T7/0012A61B6/03G06T11/008G06T2207/10081G06T2207/30004Y10S378/901
    • The present invention relates to a method of establishing a range of somatic fat by Gaussian function approximation in a computerized tomography to automatically establish through Gaussian function approximation by using least square method the range of somatic fat which is used at the time of measuring the somatic fat by using the computerized tomography, comprising the steps of separating an intra-abdominal cavity and an extra-abdominal cavity at the time of measuring amounts of subcutaneous fat and intra-abdominal cavity fat by using the computerized tomography, preparing a histogram of Hounsfield values of the separated intra-abdominal cavity and extra-abdominal cavity, approximating the prepared histogram to Gaussian function by using least square method and establishing the range of somatic fat by using a position and width of peak of the obtained Gaussian function.
    • 本发明涉及一种在计算机断层摄影中通过高斯函数近似建立体细胞脂肪范围的方法,通过使用最小二乘法自动建立高斯函数近似法,测量体细胞脂肪时使用的体细胞脂肪的范围 通过使用计算机断层摄影,包括以下步骤:通过使用计算机断层摄影术在测量皮下脂肪和腹腔脂肪量时分离腹腔和腹外腔,制备Hounsfield值的直方图 分离的腹腔和腹外腔,通过使用最小二乘法近似准备的直方图到高斯函数,并通过使用获得的高斯函数的峰的位置和宽度来建立体细胞脂肪的范围。