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
    • 1. 发明授权
    • Apparatus for automatically generating and adjusting fuzzy reasoning
rules based on reasoning error and method therefor
    • 基于推理误差自动生成和调整模糊推理规则的装置及方法
    • US5440672A
    • 1995-08-08
    • US897359
    • 1992-06-11
    • Shoichi ArakiHiroyoshi NomuraIsao HayashiNoboru Wakami
    • Shoichi ArakiHiroyoshi NomuraIsao HayashiNoboru Wakami
    • G05B13/02G06F9/44G06N7/02
    • G06N7/023G05B13/0275G06N7/026Y10S706/90
    • An apparatus and method for automatically generating and adjusting fuzzy reasoning, rules based on changes in the reasoning error. The apparatus includes a fuzzy reasoning section that performs fuzzy logic based on the fuzzy reasoning rules stored in the a rule memory. The parameters of the fuzzy reasoning rules are adjusted in a parameter tuning section based on the output of the fuzzy reasoning section and predetermined input and output data. A reasoning error calculation section calculates a reasoning error and a change in the reasoning error based on the results from the fuzzy reasoning section and the predetermined input and output data. The reasoning error calculation section also disables the parameter tuning section when the calculated reasoning error is less than a predetermined first threshold value. When the calculated reasoning error is greater than or equal to the predetermined threshold value and the change in the reasoning error is less than a predetermined second threshold value, a rule generation section generates one or more fuzzy reasoning rules and regenerates the fuzzy reasoning rules stored in the rule memory based on the new fuzzy reasoning rule(s) so that optimal fuzzy reasoning rules are obtained.
    • 一种自动生成和调整模糊推理的设备和方法,基于推理误差的变化规则。 该装置包括基于存储在规则存储器中的模糊推理规则执行模糊逻辑的模糊推理部分。 基于模糊推理部分的输出和预定的输入和输出数据,在参数调整部分中调整模糊推理规则的参数。 推理误差计算部分基于来自模糊推理部分的结果和预定的输入和输出数据来计算推理误差和推理误差的变化。 当计算推理误差小于预定的第一阈值时,推理误差计算部分也禁用参数调谐部分。 当计算的推理误差大于或等于预定阈值并且推理误差的变化小于预定的第二阈值时,规则生成部分生成一个或多个模糊推理规则,并重新生成存储在 基于新的模糊推理规则的规则存储器,从而获得最优模糊推理规则。
    • 2. 发明授权
    • Apparatus for automatically generating and adjusting fuzzy reasoning
rules based on reasoning error and method therefor
    • 基于推理误差自动生成和调整模糊推理规则的装置及方法
    • US5546506A
    • 1996-08-13
    • US386526
    • 1995-02-06
    • Shoichi ArakiHiroyoshi NomuraIsao HayashiNoboru Wakami
    • Shoichi ArakiHiroyoshi NomuraIsao HayashiNoboru Wakami
    • G05B13/02G06F9/44G06N7/02G06F17/00G06F15/18
    • G06N7/023G05B13/0275G06N7/026Y10S706/90
    • An apparatus and method for automatically generating and adjusting fuzzy reasoning, i.e. logic, rules based on changes in the reasoning error. The apparatus includes a fuzzy reasoning section that performs fuzzy logic based on the fuzzy reasoning rules stored in the a rule memory. The parameters of the fuzzy reasoning rules are adjusted in a parameter tuning section based on the output of the fuzzy reasoning section and predetermined input and output data. A reasoning error calculation section calculates a reasoning error and a change in the reasoning error based on the results from the fuzzy reasoning section and the predetermined input and output data. The reasoning error calculation section also disables the parameter tuning section when the calculated reasoning error is less than a predetermined first threshold value. When the calculated reasoning error is greater than or equal to the predetermined threshold value and the change in the reasoning error is less than a predetermined second threshold value, a rule generation section generates one or more fuzzy reasoning rules and regenerates the fuzzy reasoning rules stored in the rule memory based on the new fuzzy reasoning rule(s) so that optimal fuzzy reasoning rules are obtained.
    • 一种用于根据推理误差的变化自动生成和调整模糊推理的装置和方法,即逻辑规则。 该装置包括基于存储在规则存储器中的模糊推理规则执行模糊逻辑的模糊推理部分。 基于模糊推理部分的输出和预定的输入和输出数据,在参数调整部分中调整模糊推理规则的参数。 推理误差计算部分基于来自模糊推理部分的结果和预定的输入和输出数据来计算推理误差和推理误差的变化。 当计算推理误差小于预定的第一阈值时,推理误差计算部分也禁用参数调谐部分。 当计算的推理误差大于或等于预定阈值并且推理误差的变化小于预定的第二阈值时,规则生成部分生成一个或多个模糊推理规则,并重新生成存储在 基于新的模糊推理规则的规则存储器,从而获得最优模糊推理规则。
    • 3. 发明授权
    • Occupant condition determining apparatus
    • 乘员条件判定装置
    • US5384716A
    • 1995-01-24
    • US125423
    • 1993-09-22
    • Shoichi ArakiHiroyoshi NomuraNoboru WakamiTakeshi Imanaka
    • Shoichi ArakiHiroyoshi NomuraNoboru WakamiTakeshi Imanaka
    • F24F11/02F24F11/00G01B11/00G01S3/784G01S3/786G01V8/10G05D23/19G01K17/20
    • G05D23/1917F24F11/0009F24F11/0012F24F2011/0035
    • The apparatus of the present invention for determining existential conditions of objects on a certain detecting region, includes: a temperature distribution detecting section for obtaining a thermal image including a plurality of elements each having temperature data by detecting the temperature distribution on the detecting region; an element classifying section for classifying the plurality of elements in the thermal image into at least two groups, all elements belonging to one of the groups being in a certain temperature range, the temperature range of the one group being distinct from a temperature range of another one of the groups; a group selecting section for selecting at least one group of a relatively higher temperature range in the thermal image from the at least two groups; an element selecting section for selecting, among elements included in the selected group, elements having temperature data indicative of local temperature peaks in the thermal image; and an output section for outputting the number of the selected elements by the element selecting means as the number of objects on the detecting region.
    • 本发明的用于确定某个检测区域上的物体的存在条件的装置包括:温度分布检测部分,用于通过检测检测区域上的温度分布来获得包括多个元件的热图像,每个元件具有温度数据; 用于将热图像中的多个元素分类为至少两组的元素分类部分,属于一个组中的所有元素处于一定温度范围,一组的温度范围不同于另一组的温度范围 其中一组; 组选择部,用于从所述至少两个组中选择所述热图像中的相对较高温度范围的至少一组; 元素选择部分,用于在所选择的组中包括的元素中选择具有指示热图像中的局部温度峰值的温度数据的元素; 以及输出部,用于通过元素选择装置输出所选择的元素的数量作为检测区域上的对象数。
    • 4. 发明授权
    • Behavior history retrieval apparatus and behavior history retrieval method
    • 行为历史检索装置和行为历史检索方法
    • US08266174B2
    • 2012-09-11
    • US12526508
    • 2008-02-12
    • Hiroaki YoshioShoichi Araki
    • Hiroaki YoshioShoichi Araki
    • G06F17/30
    • H04N9/8205G06F17/30802G06F17/30805G06F17/30811G06F17/30817G06K9/00228G06K9/00771G08B13/19671
    • A meta classification section assigns the degree of accuracy capable of identifying an individual to person feature information containing a face, color, shape, etc., and person passage information and stores the metadata of the person feature information and the person passage information for each degree of accuracy, a discrete retrieval section retrieves the person to be retrieved in the high accuracy metadata stored by the meta classification section, a dependence determination section determines a person having a dependence on the person to be retrieved using a plurality of retrieval results hit in the discrete retrieval and the high accuracy metadata, a query generation section regenerates a retrieval key from the identifier of the person having a dependence and the identifier of the person to be retrieved, and a discrete candidate-to-candidate retrieval section retrieves the person corresponding to the regenerated retrieval key in the low accuracy metadata.
    • 元分类部分将能够识别个人的准确度分配给包含面部,颜色,形状等的人物特征信息以及人物通过信息,并且存储个人特征信息的元数据和每个度数的人通过信息 离散检索部分以由元分类部分存储的高精度元数据检索要检索的人,依赖性确定部分使用多个检索结果来确定具有依赖于要检索的人的人 离散检索和高精度元数据,查询生成部分从具有依赖性的人的标识符和要检索的人的标识符重新生成检索密钥,并且离散候选对象检索部分检索对应于 在低精度元数据中的再生检索密钥。
    • 5. 发明授权
    • Imaging region adjustment device
    • 成像区域调整装置
    • US08154599B2
    • 2012-04-10
    • US11667768
    • 2006-06-13
    • Katsuji AokiAtsushi YoshidaShoichi Araki
    • Katsuji AokiAtsushi YoshidaShoichi Araki
    • G06F3/033G06T15/00
    • H04N5/222G06K9/32G08B13/19643H04N5/2224H04N5/232H04N5/247H04N5/76H04N7/181
    • An imaging region adjustment device includes plural camera terminals, capable of imaging an entire imaging target without blinds spots. Each of the camera terminals includes a camera which images a virtual imaging region obtained while changing the position of an imaging region within a specific region in a specific period of time and an adjusting unit B which adjusts the position of the virtual imaging region by controlling the camera. The adjusting unit B adjusts the position and aspect ratio of the virtual imaging region of one's own camera terminal so that a combined region of the virtual imaging regions of the camera terminals completely covers a specific imaging target region, based on the virtual imaging region of one's own camera terminal and virtual imaging regions of the other camera terminals, and when the virtual imaging regions A of N other camera terminals are contained in the virtual imaging region of one's own camera terminal, divides the virtual imaging region of one's own camera terminal into N+1 regions.
    • 成像区域调整装置包括能够对没有盲区的整个成像目标进行成像的多个摄像机终端。 每个相机终端包括在特定时间段内改变特定区域内的成像区域的位置时获得的虚拟成像区域的摄像机以及通过控制虚拟摄像区域来调整虚拟摄像区域的位置的调整单元B 相机。 调整单元B调整自己的摄像机终端的虚拟摄像区域的位置和高宽比,使得摄像机终端的虚拟摄像区域的组合区域基于人的虚拟摄像区域完全覆盖特定的成像目标区域 自己的相机终端和其他相机终端的虚拟成像区域,并且当N个其他相机终端的虚拟成像区域A包含在自己的相机终端的虚拟成像区域中时,将自己的相机终端的虚拟成像区域划分为N +1区域。
    • 8. 发明授权
    • Information retrieval system for documents
    • 信息检索系统文件
    • US06993517B2
    • 2006-01-31
    • US09859609
    • 2001-05-17
    • Eiichi NaitoShoichi ArakiHiroshi KutsumiJun OzawaSusumu Maruno
    • Eiichi NaitoShoichi ArakiHiroshi KutsumiJun OzawaSusumu Maruno
    • G06F17/30
    • G06F17/3071G06F17/30634G06F17/3069Y10S707/99933Y10S707/99943
    • Questions and answers associated with each other are stored in a document storage section. A clustering section classifies the answers in the document storage section into clusters based on feature vectors of the answers. When a natural language question is input by the user, a database retrieval/updating section retrieves a question similar to the input question, and presents answers associated with the retrieved question together for each cluster to the user or an expert. In addition, the database retrieval/updating section automatically updates the document storage section based on an answer selected as most appropriate by the user or the expert if selected, or based on an answer newly input by the expert if no appropriate answer is available. The natural language answer input by the expert is presented to the user as it is.
    • 彼此相关的问题和答案存储在文档存储部分中。 聚类部分将文档存储部分中的答案根据答案的特征向量进行分类。 当用户输入自然语言问题时,数据库检索/更新部分检索类似于输入问题的问题,并且将与检索到的问题相关联的答案一起呈现给用户或专家的每个聚类。 此外,数据库检索/更新部分基于如果选择了用户或专家最适合的答案,或者如果没有适当的答案可用,则基于由专家新输入的答案,自动更新文档存储部分。 由专家输入的自然语言答案按原样呈现给用户。
    • 10. 发明授权
    • Contour extraction apparatus
    • 轮廓提取装置
    • US5881170A
    • 1999-03-09
    • US620463
    • 1996-03-22
    • Shoichi ArakiNaokazu Yokoya
    • Shoichi ArakiNaokazu Yokoya
    • G06T5/00G06K9/48
    • G06T7/0083G06T7/0089G06T7/2006G06T7/2046G06T2207/10016
    • The present invention provides a contour extraction apparatus which has an image storing section 1 for storing an image, a contour model storing section 2 for storing a contour model, a contour model transforming section 3 for transforming and shrinking the contour model according to a prescribed rule, a contour model intersection detecting section 4 for detecting a contact or intersection in the contour model, a contour model dividing section 5 for dividing the contour model into contour models based on the detected contact or intersection, and an extraction completion judging section 7 for judging whether or not extraction of the contour of the object has been completed. According to the contour extraction apparatus, even when there are objects whose contours are to be extracted, the contour of the each object can be extracted correctly by predesignating a region only once, or without predesignating a region at all, despite the presence of excessive noise or a discontinuity in the edge.
    • 本发明提供了一种轮廓提取装置,具有用于存储图像的图像存储部分1,用于存储轮廓模型的轮廓模型存储部分2,用于根据规定的规则转换和缩小轮廓模型的轮廓模型变换部分3 ,用于检测轮廓模型中的接触或交叉的轮廓模型交点检测部分4,用于基于检测到的接触或交叉将轮廓模型划分为轮廓模型的轮廓模型分割部分5和用于判断轮廓模型的轮廓模型 是否已经完成了对象的轮廓的提取。 根据轮廓提取装置,即使存在要提取轮廓的对象,即使存在过大的噪声,也可以通过预先指定一次区域或者完全不指定区域来正确地提取每个对象的轮廓 或边缘不连续。