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    • 7. 发明申请
    • COMPARISON-BASED SORT IN AN ARRAY PROCESSOR
    • 在ARRAY处理器中基于比较的排序
    • US20160124900A1
    • 2016-05-05
    • US14729281
    • 2015-06-03
    • International Business Machines Corporation
    • Ganesh BalakrishnanBartholomew BlanerJohn J. ReillyJeffrey A. Stuecheli
    • G06F15/82G06F9/30G06F15/80
    • G06F9/3001G06F7/36G06F9/30021G06F9/30032G06F9/30043G06F9/383G06F15/7867G06F15/7885
    • A method for sorting data in an array processor. Each of a first tier of processing elements in the array processor receives data inputs from a load streaming unit. Each of the first tier processing elements compares input data portions received from the load streaming unit, wherein the input data portions are stored for processing in respective queues. The first tier processing elements select one of the input data portions to be an output data portion based on the comparison, and in response to the selection, remove a corresponding queue entry and request next input data from the load streaming unit. Each of the first tier processing elements further provides the output data portion as an input data portion to a second tier processing element that generates output data based on a comparison of output data received from at least two first tier processing elements.
    • 一种用于在数组处理器中排序数据的方法。 阵列处理器中的第一层处理元件中的每一个从负载流传输单元接收数据输入。 每个第一层处理元件比较从负载流传输单元接收的输入数据部分,其中输入数据部分被存储以用于在相应的队列中进行处理。 第一层处理单元基于该比较来选择输入数据部分中的一个作为输出数据部分,并且响应于该选择,移除对应的队列条目并从加载流传输单元请求下一个输入数据。 第一层处理单元中的每一个还将输出数据部分作为输入数据部分提供给基于从至少两个第一层处理单元接收的输出数据的比较来生成输出数据的第二层处理单元。
    • 8. 发明申请
    • DOCUMENT SORTING SYSTEM, DOCUMENT SORTING METHOD, AND DOCUMENT SORTING PROGRAM
    • 文件分类系统,文件分类方法和文件分类方案
    • US20160098478A1
    • 2016-04-07
    • US14866016
    • 2015-09-25
    • UBIC, Inc.
    • Masahiro MorimotoYoshikatsu ShiraiHideki TakedaKazumi Hasuko
    • G06F17/30G06Q50/18
    • G06F17/30675G06F7/36G06F17/30011G06F17/3053G06F17/30663G06F17/30707G06F17/30722G06Q10/10G06Q50/18
    • It is possible to analyze digitized document information gathered to be provided as evidence in a legal action and to classify the document information to be easily accessible in the legal action. A document classification system includes a keyword database, a related term database, a first classification unit which extracts a document including a keyword recorded in the keyword database from document information and attaches a specific classification mark to the extracted document based on keyword-corresponding information, and a second classification unit which extracts a document including a related term recorded in the related term database from document information, to which the specific classification mark is not attached in the first classification unit, calculates a score based on an evaluated value of the related term included in the extracted document and the number of related terms, and attaches a predetermined classification mark to a document, for which the score exceeds a given value, among the documents including the related term based on the score and the related term-corresponding information.
    • 可以分析收集的数字化文件信息作为法律诉讼中的证据,并将文件信息分类为法律诉讼中容易获取的信息。 文档分类系统包括关键字数据库,相关术语数据库,第一分类单元,其从文档信息中提取包含关键字数据库中记录的关键字的文档,并且基于关键字对应信息将特定分类标记附加到所提取的文档, 以及第二分类单元,其从在相关术语数据库中记录的相关术语的文档提取,所述文档信息在所述第一分类单元中不附加所述特定分类标记,基于所述相关项的评估值来计算得分 包括在所提取的文档中,并且相关词条的数量,并且基于得分和相关的术语对应信息,在包括相关术语的文档中,将分数超过给定值的文档附加预定分类标记。
    • 9. 发明申请
    • METHOD AND SYSTEM FOR OBTAINING DYNAMIC DISTRIBUTED DATA OF SAMPLE ATTRIBUTES
    • 用于获取样本属性的动态分布数据的方法和系统
    • US20160077801A1
    • 2016-03-17
    • US14949312
    • 2015-11-23
    • Tencent Technology (Shenzhen) Company Limited.
    • Shangliang ZhangXuxin Wang
    • G06F7/36G06F17/30
    • G06F7/36G06F16/24G06Q30/0201
    • A method for obtaining dynamic distributed data of sample attributes includes: obtaining a sample attribute from any one sample out of a pool of large-scale samples; determining an updated location of where the obtained sample attribute is located within a priorly-maintained sample attribute queue, and then performing updating at the updated location utilizing the obtained sample attribute; maintaining an orderly arrangement of the sample attributes in the sample attribute queue, in order to obtain dynamic distributed data of the obtained sample attributes, wherein: the sample attribute queue stores the sample attributes of the pool of large-scale samples, the sample attributes are orderly arranged in the sample attribute queue; a length of the sample attribute queue is set at a value of N, wherein the value N being smaller than a total number of the samples in the pool of large-scale samples. The method reduces dynamic distributed data sample attributes calculations.
    • 用于获得样本属性的动态分布数据的方法包括:从大规模样本池中的任何一个样本获得样本属性; 确定获取的样本属性位于先前维护的样本属性队列内的更新位置,然后利用获得的样本属性在更新的位置执行更新; 维持采样属性队列中样本属性的有序布置,以获得所获取样本属性的动态分布数据,其中:样本属性队列存储大型样本库的样本属性,样本属性为 有序排列在样本属性队列中; 样本属性队列的长度被设置为N的值,其中值N小于大规模样本池中的样本的总数。 该方法减少动态分布式数据样本属性计算。