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    • 1. 发明授权
    • Lens forming metal mold, lens forming method and pickup device
    • 透镜成型金属模具,透镜成形方法和拾取装置
    • US08945438B2
    • 2015-02-03
    • US13039587
    • 2011-03-03
    • Shungo HanashiroAkihiro SugiyamaHiroshi Kanazawa
    • Shungo HanashiroAkihiro SugiyamaHiroshi Kanazawa
    • B29D11/00
    • G02B7/025B29C45/00G02B1/041G11B7/12
    • A metal mold including: a first inner metal mold which forms a first lens surface and a first flat surface portion of a lens; a first outer metal mold which forms a second flat surface portion; a second inner metal mold which forms a second lens surface and a third flat surface portion; and a second outer metal mold which forms a fourth flat surface portion, and wherein a first protruded portion which forms a first concaved portion on the lens is formed all around an outer periphery of the first inner metal mold, the first concaved portion serving as clearance for a burr, and a second protruded portion which forms a second concaved portion on the lens is formed all around an outer periphery of the second inner metal mold, the second concaved portion serving as clearance for a burr.
    • 一种金属模具,包括:形成透镜的第一透镜表面和第一平坦表面部分的第一内部金属模具; 形成第二平坦表面部分的第一外部金属模具; 第二内金属模,其形成第二透镜表面和第三平表面部分; 以及形成第四平面部的第二外金属模,并且其中在所述透镜上形成第一凹部的第一突出部分形成在所述第一内金属模的外周周围,所述第一凹部用作间隙 在第二内金属模具的外周围形成有用于毛刺的第二突出部分,并且形成在透镜上的第二凹部,第二凹部用作毛刺的间隙。
    • 2. 发明授权
    • Optical disk drive
    • 光盘驱动器
    • US07990814B2
    • 2011-08-02
    • US11763515
    • 2007-06-15
    • Suguru TakishimaHiroshi NishikawaHiroshi KanazawaRyosei Honma
    • Suguru TakishimaHiroshi NishikawaHiroshi KanazawaRyosei Honma
    • G11B7/00
    • G11B7/123G11B7/08582
    • An optical disk drive for recording information on a recording surface of an optical disk and reading information recorded in the optical disk is provided. The optical disk drive includes a spindle to rotate the optical disk and a carriage movable in parallel with a tracking direction of the optical disk. The carriage includes a laser light source to emit laser light, a collimator lens to convert divergent light into parallel light and is arranged with an optical center thereof being in a farther and offset position with respect to an optical axis of the laser light, a reflecting mirror to receive and deflect the laser light transmitted through the collimator lens in a direction perpendicular to the recording surface of the optical disk, and an objective lens to converge the laser light deflected by the reflecting mirror on a position corresponding to the recording surface of the optical disk.
    • 提供一种用于在光盘的记录表面上记录信息并读取记录在光盘中的信息的光盘驱动器。 光盘驱动器包括用于旋转光盘的主轴和可与光盘的跟踪方向并行移动的滑架。 滑架包括用于发射激光的激光源,将发散光转换为平行光的准直透镜,并且其光学中心相对于激光的光轴位于更远和偏移位置,反射 反射镜,以在垂直于光盘的记录表面的方向上接收和偏转透射准直透镜的激光;以及物镜,将由反射镜偏转的激光会聚在与该光盘的记录表面相对应的位置上 光盘。
    • 9. 发明授权
    • Word spotting in a variable noise level environment
    • 在可变噪声水平环境中的字眼
    • US5794194A
    • 1998-08-11
    • US794770
    • 1997-02-03
    • Yoichi TakebayashiHiroyuki TsuboiHiroshi Kanazawa
    • Yoichi TakebayashiHiroyuki TsuboiHiroshi Kanazawa
    • G10L15/00G10L15/04G10L5/06G10L7/08
    • G10L15/05G10L2015/088
    • Low- and high-dimensional feature parameters are obtained by analyzing a speech pattern to be recognized. A word spotting section extracts a plurality of approximate word feature vector candidates representing word features from the low-dimensional feature parameter without fixing word boundaries. Start and end points are detected for each of the word feature vector candidates. Detail word feature vector candidates are extracted from the high-dimensional feature parameter in accordance with the detected start and end points. A recognition dictionary stores reference patterns with which the detail word feature vector candidates are matched. A pattern matching section calculates similarity values between each of the detail word feature vector candidates and the reference patterns stored in the recognition dictionary. A recognition result selects reference patterns stored in the recognition dictionary when its similarity value is greater than a prescribed threshold value.
    • 通过分析要识别的语音模式获得低维和高维特征参数。 单词识别部分从低维特征参数提取表示单词特征的多个近似字特征向量候选而不固定词边界。 对于每个单词特征向量候选来检测起点和终点。 根据检测到的起点和终点,从高维特征参数提取细节特征向量候选。 识别词典存储细节词特征向量候选与之匹配的参考模式。 模式匹配部分计算每个细节特征向量候选和存储在识别字典中的参考模式之间的相似度值。 当识别结果的相似度值大于规定的阈值时,识别结果选择存储在识别词典中的参考模式。
    • 10. 发明授权
    • Method and apparatus for time series signal recognition with signal
variation proof learning
    • 用信号变异校正学习的时间序列信号识别方法和装置
    • US5761639A
    • 1998-06-02
    • US295170
    • 1994-08-24
    • Yoich TakebayashiHiroshi KanazawaHiroyuki Chimoto
    • Yoich TakebayashiHiroshi KanazawaHiroyuki Chimoto
    • G10L15/00G10L15/06G10L15/20G10L5/06
    • G10L15/063G10L15/20G10L2015/0631G10L2015/0638G10L2015/088G10L21/0216
    • A time series signal recognition capable of obtaining a high recognition rate even for the speech data with low S/N ratio in noisy environments. The time series signals are recognized by extracting a plurality of candidate feature vectors characterizing an individual time series signal, without fixing a boundary for the individual time series signal. Similarity values are calculated for each of the plurality of candidate feature vectors and the reference patterns stored in the recognition dictionary, from which one reference pattern for which the similarity value is greater than a prescribed threshold value is selected as a recognition result. New reference patterns to be stored in the recognition dictionary are learned by acquiring actual background noise of the apparatus, and mixing prescribed noiseless signal patterns with the acquired background noise to form signal patterns for learning. The signal patterns for learning are recognized by extracting features vectors for learning from the signal patterns for learning, and the new reference patterns are obtained from the extracted feature vectors for learning. The learning process is iterated at different noise levels, so as to optimize the determination of the word boundary. The background noise may be constantly acquired, and learning can be carried out using the noise data acquired immediately before the speech data is input.
    • 即使在嘈杂环境中具有低S / N比的语音数据,也能够获得高识别率的时间序列信号识别。 通过提取表征各个时间序列信号的多个候选特征向量,而不固定各个时间序列信号的边界来识别时间序列信号。 对于存储在识别词典中的多个候选特征向量和参考图案中的每一个计算相似度值,从中选择相似度值大于规定阈值的一个参考图案作为识别结果。 通过获取装置的实际背景噪声,并将规定的无噪声信号模式与所获取的背景噪声混合,形成要存储在识别字典中的新参考模式,以形成用于学习的信号模式。 用于学习的信号模式通过从用于学习的信号模式中提取用于学习的特征向量来识别,并且从所提取的用于学习的特征向量获得新的参考模式。 学习过程在不同的噪声级别迭代,以优化单词边界的确定。 可以不断地获取背景噪声,并且可以使用在语音数据输入之前立即获取的噪声数据来进行学习。