会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 5. 发明授权
    • Automatic film rewind method for camera
    • 相机自动倒片方式
    • US4494843A
    • 1985-01-22
    • US434627
    • 1982-10-15
    • Takashi KobayashiTakeshi InagakiHiroshi TakahashiTakayuki Ohisa
    • Takashi KobayashiTakeshi InagakiHiroshi TakahashiTakayuki Ohisa
    • G03B17/00G03B17/42G03B1/60G03B17/36
    • G03B17/425
    • A method for automatically rewinding the film in a camera having a battery-powered automatic film rewinder, including a motor, a microprocessor, a control circuit, a timer, a microswitch associated with a film frame counter and a microswitch associated with a sprocket. The method comprises the steps of: determining from the time being taken to advance a single frame of film, whether a first film winding abnormality is occurring; determining whether the abnormality is caused by a deterioration in the power source for the automatic film winding mechanism; determining from the time being taken to advance a single frame of film, whether a second film winding abnormality is occurring; determining whether the second winding abnormality is occurring coincidentally with the film being in the vicinity of the last frame of film on the film roll; and rewinding the film only upon determining that the second film winding abnormality is occurring coincidentally with the last frame of exposed film being in the vicinity of the last frame of film on the film roll.
    • 一种用于在具有电池供电的自动复卷机的相机中自动倒带胶片的方法,包括电动机,微处理器,控制电路,定时器,与胶片框架计数器相关的微动开关和与链轮相关的微动开关。 该方法包括以下步骤:确定从提取单帧胶片的时间开始,是否发生第一胶片卷绕异常; 判断异常是否是由于自动胶片卷绕机构的电源的劣化引起的; 确定从提取单帧胶片的时间开始,是否发生第二胶片卷绕异常; 确定所述第二卷绕异常是否与所述胶卷上胶片最后一帧附近的胶片发生巧合; 并且仅在确定第二胶卷卷绕异常正在与曝光胶片的最后一帧发生在胶卷上最后一帧胶片附近的情况下重卷。
    • 9. 发明授权
    • Method, computer system, and computer program for searching document data using search keyword
    • 方法,计算机系统和使用搜索关键字搜索文档数据的计算机程序
    • US09122747B2
    • 2015-09-01
    • US13605860
    • 2012-09-06
    • Takeshi Inagaki
    • Takeshi Inagaki
    • G06F7/00G06F17/30
    • G06F17/3069
    • Techniques provide for searching pieces of document data using a search keyword. The technique includes: calculating, as a first vector, respective first scores at which or respective probabilities that each of the pieces of document data belongs to clusters or classes; calculating, as a second vector, respective second scores at which or respective probabilities that the search keyword or a relevant keyword associated with the search keyword belongs to the clusters or the classes; calculating an inner product of each of the first vectors and the second vector, the calculated inner product being a third score of the corresponding piece of document data regarding the search keyword; and acquiring a correlation value from document data containing each keyword in a classification keyword set and document data with the third score that is equal to or more than a predetermined threshold or is included in a predetermined high-ranking proportion.
    • 技术提供使用搜索关键字搜索文档数据片段。 该技术包括:计算作为第一向量的相应的第一分数,其中每个文档数据属于群集或类别或相应的概率; 计算作为第二向量的相应的第二分数,其中搜索关键字或与搜索关键字相关联的相关关键字属于群集或类别的相应概率或相应的概率; 计算第一向量和第二向量中的每一个的内积,所计算的内积是与搜索关键词相关的文档数据的第三分数; 并且从分类关键字集合中包含每个关键字的文档数据和等于或大于预定阈值的第三分数的文档数据获取相关值,或者以预定的高级比例包括在内。
    • 10. 发明授权
    • Time-series analysis of keywords
    • US08526735B2
    • 2013-09-03
    • US13461856
    • 2012-05-02
    • Takeshi Inagaki
    • Takeshi Inagaki
    • G06K9/34
    • G06F17/30705
    • Processing for a time-series analysis of keywords comprises clustering or classifying pieces of document data, each of which is description of a phenomenon in a natural language, on the basis of frequencies of occurrence of keywords in the pieces of document data, individual keywords being also clustered or classified by clustering or classifying the pieces of document data, and performing a time-series analysis of frequencies of occurrence of pieces of document data containing individual keywords in clusters or classes into which the pieces of document data are clustered or classified or a time-series analysis of frequencies of occurrence of pieces of document data containing clusters or classes into which the individual keywords are clustered or classified. Frequency distribution showing variation of the frequencies of occurrence of the pieces of document data is acquired by the time-series analysis.