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    • 92. 发明申请
    • METHOD AND SYSTEM FOR FASTER AND MORE SENSITIVE HOMOLOGY SEARCHING
    • 用于更快和更敏感的同位素搜索的方法和系统
    • US20070088510A1
    • 2007-04-19
    • US11561327
    • 2006-11-17
    • Ming LIBin MaJohn Tromp
    • Ming LIBin MaJohn Tromp
    • G06F19/00
    • G06F19/22G06F19/24
    • An area of research in the field of bioinformatics deals with the identification of similarities within one, or between two DNA sequences. Current techniques are quite slow and many matches are missed. The invention provides a faster and more sensitive solution, by using “optimised spaced seeds” to perform these biological sequence homology searches. Various techniques are shown for identifying seeds which are optimized to improve the sensitivity or speed of the searching. In the preferred embodiment, optimized spaced seeds are determined by the parameters of the search and independent of the actual databases being searched (for example, using the length and weight of the spaced seed, as well as the probability of a hit in a similar region). Thus, these optimized seeds can be stored in libraries which are accessed as required.
    • 生物信息学领域的研究领域涉及一个或两个DNA序列之间的相似性的鉴定。 目前的技术相当缓慢,许多比赛都被错过。 本发明通过使用“优化的间隔种子”来执行这些生物序列同源性搜索来提供更快和更灵敏的解决方案。 显示各种技术用于识别被优化以提高搜索的灵敏度或速度的种子。 在优选实施例中,通过搜索的参数确定优化的间隔种子,并且独立于正在搜索的实际数据库(例如,使用间隔的种子的长度和重量以及相似区域中的命中的概率) )。 因此,这些优化的种子可以存储在需要访问的库中。
    • 95. 发明申请
    • Laterally opened container
    • 左侧容器开放
    • US20050103779A1
    • 2005-05-19
    • US10508183
    • 2002-03-18
    • Liangfu XieBin Ma
    • Liangfu XieBin Ma
    • B65D88/12B65D90/00B65D90/02B65D88/00
    • B65D90/0086B65D88/121B65D88/127B65D90/0066B65D90/021
    • The present invention provides a new type of laterally container, which is composed of bottom platform, corner posts, front walls and end walls and container top. At the container top, there is a middle top beam, one or more top beams mounted symmetrically at both sides of the middle top beam. The other ends of the middle top are linked to the lateral beams of the container body. One spacing wall is mounted along the longitudinal central line of the bottom platform, the lower end of the spacing wall is linked to the bottom platform and the upper end of the spacing wall is linked to the container top, and its front and back ends linked respectively to the front and end walls. The platform is mounted aslant. This structure has advantages of high strength, which can prevent the distortion of the container body, and two individual spaces for containing goods that can also protect the goods from waggling during transportation. This type of container has simple construction and low costs, and it can be loaded and unloaded conveniently.
    • 本发明提供了一种新型横向容器,其由底部平台,角柱,前壁和端壁以及容器顶部组成。 在集装箱顶部有一个中顶梁,一个或多个顶梁对称地安装在中顶梁的两侧。 中间顶部的另一端连接到容器主体的横向梁。 一个间隔壁沿着底部平台的纵向中心线安装,间隔壁的下端连接到底部平台,间隔壁的上端连接到容器顶部,其前端和后端连接 分别到前壁和后壁。 平台安装成aslant。 这种结构具有高强度的优点,可以防止容器体的变形,以及用于容纳货物的两个单独的空间,还可以保护货物在运输过程中不发生晃动。 这种容器结构简单,成本低,可方便装卸。
    • 97. 发明授权
    • Spoken language identification system and methods for training and operating same
    • 口语识别系统和培训和操作方法相同
    • US07917361B2
    • 2011-03-29
    • US11575479
    • 2005-09-19
    • Haizhou LiBin MaGeorge M. White
    • Haizhou LiBin MaGeorge M. White
    • G10L15/06G10L15/00
    • G10L15/005G10L2015/025
    • A method for training a spoken language identification system to identify an unknown language as one of a plurality of known candidate languages includes the process of creating a sound inventory comprising a plurality of sound tokens, the collective plurality of sound tokens provided from a subset of the known candidate languages. The method further includes providing a plurality of training samples, each training sample composed within one of the known candidate languages. Further included is the process of generating one or more training vectors from each training database, wherein each training vector is defined as a function of said plurality of sound tokens provided from said subset of the known candidate languages. The method further includes associating each training vector with the candidate language of the corresponding training sample.
    • 用于训练口语识别系统以识别作为多种已知候选语言之一的未知语言的方法包括创建包括多个声音令牌的声音库存的过程,所述多个声音令牌的集合从 已知的候选语言。 该方法还包括提供多个训练样本,每个训练样本在已知候选语言之一内组成。 进一步包括从每个训练数据库生成一个或多个训练向量的过程,其中每个训练向量被定义为从所述已知候选语言的所述子集提供的所述多个声音令牌的函数。 该方法还包括将每个训练向量与相应训练样本的候选语言相关联。