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    • 2. 发明申请
    • Method and apparatus for synchronous project collaboration
    • 用于同步项目协作的方法和装置
    • US20060136441A1
    • 2006-06-22
    • US10509904
    • 2003-03-31
    • Tetsunosuke Fujisaki
    • Tetsunosuke Fujisaki
    • G06F17/00
    • G06Q10/10
    • A disclosed project management system allows one or more team members to share documents in asynchronous and synchronous collaboration modes. A synchronous collaboration system is provided as an incremental addition that extends a conventional asynchronous collaboration system. One or more users can transition between asynchronous and synchronous collaboration modes. A plurality of users can interact in a synchronous collaboration mode to create and modify documents and perform other project tasks without requiring a token. A serializer initially receives each of the change requests and serializes them. The serialized requests are then sent to a broadcaster that broadcasts the requests to all users. Each user implements the broadcast change requests to the document as they are received so that shared documents are presented to each user in the same way at any given time.
    • 公开的项目管理系统允许一个或多个团队成员以异步和同步协作模式共享文档。 提供同步协作系统作为扩展常规异步协作系统的增量附加。 一个或多个用户可以在异步和同步协作模式之间转换。 多个用户可以以同步协作模式进行交互以创建和修改文档并执行其他项目任务而不需要令牌。 序列化器最初接收每个更改请求并将其序列化。 然后将序列化请求发送到广播者,向所有用户广播请求。 每个用户在接收到文档时实现广播更改请求,以便在任何给定时间以相同的方式将共享文档呈现给每个用户。
    • 4. 发明授权
    • On-line connected handwritten word recognition by a probabilistic method
    • 通过概率法在线连接手写字识别
    • US5392363A
    • 1995-02-21
    • US975864
    • 1992-11-13
    • Tetsunosuke FujisakiKrishna S. Nathan
    • Tetsunosuke FujisakiKrishna S. Nathan
    • G06K9/62G06K9/00G06K9/22G06K9/70
    • G06K9/00879G06K9/00416G06K9/00429
    • Methods and apparatus are disclosed for recognizing handwritten words in response to an input signal from a handwriting transducer. The method includes the steps of: (a) partitioning the input signal into N frames; and (b) processing words from a vocabulary model to determine, for each processed word, a probability that the word represents a written word that is conveyed by the input signal. The determined probability is a function of N letter-frame alignment probabilities and also a probability based on a grouping of the N frames into L groups, where L is a number of letters in the word. A further step (c) identifies a word having a highest determined probability as being a most-likely word that is conveyed by the input signal. The determined probability is also a function of (a) a probability based on a frequency of occurrence of words and portions of words within a selected language model; and (b) when processing a frame other than the Nth frame, a number of frames that remain to be processed. In one embodiment of the invention all words in the vocabulary model are searched in parallel, thereby significantly reducing the recognition time. The use of a beam search technique is illustrated to perform the parallel search. Also, this invention teaches the use of hashing to increase the speed of the beam search technique.
    • 公开了用于响应于来自手写变换器的输入信号识别手写字的方法和装置。 该方法包括以下步骤:(a)将输入信号划分为N帧; 和(b)处理来自词汇表模型的单词,以便为每个经处理的单词确定该单词表示由输入信号传达的书写单词的概率。 确定的概率是N个字母对齐概率的函数,也是基于将N个帧分组成L个组的概率,其中L是单词中的字母数。 另一步骤(c)将具有最高确定概率的单词识别为由输入信号传送的最可能的单词。 所确定的概率也是(a)基于所选择的语言模型中单词的出现频率和单词部分的概率的函数; 和(b)当处理除了第N帧之外的帧时,剩余待处理的帧数。 在本发明的一个实施例中,并行搜索词汇模型中的所有单词,从而显着减少识别时间。 示出了使用波束搜索技术来执行并行搜索。 此外,本发明教导了使用散列来增加光束搜索技术的速度。
    • 6. 发明授权
    • Quality of service improvement of internet real-time media transmission by transmitting redundant voice/media frames
    • 通过发送冗余语音/媒体帧,实现互联网实时媒体传输的服务质量改善
    • US06466574B1
    • 2002-10-15
    • US09092824
    • 1998-06-05
    • Tetsunosuke FujisakiYoav Medan
    • Tetsunosuke FujisakiYoav Medan
    • H04L1226
    • H04L45/00H04L45/24
    • Improved reliability and reduced delays and packet losses of Internet media transmissions over packet switching networks such as Internet and Intranet is achieved by replicating a sent message/information packet(s) from one or more source computers connected to the network into two or more replicas of one or more of the packets of the sent message. Each of the replicas is then directed through a different route through the network to one or more destination computers. In one embodiment, each of the routes is determined so that the routes have the least number of routers and access points in common. Since the replicas are redundant, losses and delays of some of the replicas is not fatal to assemble the packet sequence at the destination(s). Thus, the destination computer can assemble the sent message/information packet from received replicas in a more complete and faster manner. Redundant replicas that are received can be ignored and/or discarded at the destination computer.
    • 通过诸如因特网和内联网的分组交换网络提高互联网媒体传输的可靠性和减少的延迟和分组丢失是通过将连接到网络的一个或多个源计算机发送的消息/信息分组复制成两个或多个副本 发送消息的一个或多个分组。 然后,每个副本被引导通过网络到不同的路由到一个或多个目的地计算机。 在一个实施例中,确定每个路由使得路由具有最少数量的路由器和接入点是共同的。 由于副本是冗余的,所以一些副本的丢失和延迟并不是在目的地组装数据包序列的致命的。 因此,目的地计算机可以以更完整和更快的方式组合来自接收的副本的发送的消息/信息分组。 接收到的冗余副本可以在目标计算机上被忽略和/或丢弃。
    • 10. 发明授权
    • Hybrid on-line handwriting recognition and optical character recognition
system
    • 混合在线手写识别和光学字符识别系统
    • US6011865A
    • 2000-01-04
    • US61495
    • 1993-05-12
    • Tetsunosuke FujisakiWilliam David ModlinKottappuram Mohammedali MohiuddinHiroyasu Takahashi
    • Tetsunosuke FujisakiWilliam David ModlinKottappuram Mohammedali MohiuddinHiroyasu Takahashi
    • G06K9/62G06K9/03G06K9/22G06K9/48G06K9/66G06K9/68G06K9/00
    • G06K9/6293G06K9/00416G06K9/00422
    • The hybrid handwriting recognition method includes the steps of (a), in response to a handwriting input from a user, providing dynamic, time ordered stroke information; (b) determining a first list comprised of at least one probable character that the dynamic, time ordered stroke information is intended to represent; (c) converting the dynamic, time ordered stroke information to static stroke information; (d) determining a second list comprised of at least one probable character that the static stroke information represents; and (e) merging the first list and the second list to provide a third, unified list comprised of at least one element representing a most probable character that the dynamic, time ordered stroke information is intended to represent. The step of converting includes the steps of generating a static, bit-mapped representation of the dynamic stroke information, and generating one or more first stroke features based on contour directions of the bit-mapped stroke information. The first stroke features are applied as inputs to a plurality of neural network recognizers.
    • 混合手写识别方法包括以下步骤:(a)响应于来自用户的手写输入,提供动态的时间排序笔画信息; (b)确定由至少一个可能的字符构成的第一列表,动态时间排序笔画信息旨在表示; (c)将动态时间排序笔画信息转换为静态笔画信息; (d)确定由静态笔画信息表示的至少一个可能字符构成的第二列表; 和(e)合并第一列表和第二列表以提供由至少一个元素组成的第三统一列表,该元素表示动态时间排序笔画信息旨在表示的最可能的字符。 转换步骤包括以下步骤:产生动态笔画信息的静态位图表示,以及基于位映射笔画信息的轮廓方向生成一个或多个第一笔划特征。 第一笔划特征被用作多个神经网络识别器的输入。