Sheet conveying apparatus and image forming apparatus
    51.
    发明授权
    Sheet conveying apparatus and image forming apparatus 失效
    片材输送装置和成像装置

    公开(公告)号:US06375184B1

    公开(公告)日:2002-04-23

    申请号:US09628698

    申请日:2000-07-28

    Applicant: Isao Hayashi

    Inventor: Isao Hayashi

    Abstract: The present invention relates to a sheet conveying apparatus comprising a conveyance belt, on which stripe shaped electrodes each fed to a voltage different from that fed to one another are alternatively arranged, for conveying a sheet in attracting the sheet with electrostatic force and power supplying means disposed on an inner side of the conveyance belt for supplying voltage to the electrodes.

    Abstract translation: 片材输送装置技术领域本发明涉及一种片材输送装置,其特征在于,包括输送带,在该输送带上分别配置有与彼此供给的电压不同的条形状的电极,用于输送用静电力吸引片材的片材,供电装置 设置在输送带的内侧,用于向电极提供电压。

    Fluidized-bed drying and classifying apparatus
    52.
    发明授权
    Fluidized-bed drying and classifying apparatus 有权
    流化床干燥和分级装置

    公开(公告)号:US06298579B1

    公开(公告)日:2001-10-09

    申请号:US09581898

    申请日:2000-06-20

    CPC classification number: B03B4/00 F26B3/08 F26B21/12

    Abstract: A fluidized-bed drying and classifying apparatus is provided with a main body (10) in which a fluidized bed is formed to dry a granular material and to classify the same into fine particles and coarse particles. A perforated gas-distributing plate (12) is disposed in a lower part of a region in which a fluidized bed (14) is formed in the main body (10), a wind box having the shape of a hopper is disposed below the perforated gas-distributing plate. A dropped material discharge device (29) is connected to the lower end of the hopper-shaped wind box (16) to discharge the material dropped into the wind box (16). A gas supply system (110) is connected to the wind box (16) to supply a fluidizing gas that serves as a drying hot gas and a classifying gas into the wind box. A material supply opening portion (20) is mounted to the main body (10) to feed the granular material. A discharge chute (24) is connected to the main body (10) to discharge dried coarse particles. A gas discharge opening portion (56) is connected to the main body (10) to discharge an exhaust gas containing fine particles. The gas supply system (110) includes a flow controller (111) to control classification particle size by controlling the flow rate of the gas supplied into the wind box (16), and a temperature controller (112) to control drying degree through the adjustment of temperature of the hot gas supplied into the wind box (16) according to the adjusted flow rate.

    Abstract translation: 流化床干燥和分级装置设有主体(10),其中形成流化床以干燥颗粒材料并将其分类为细颗粒和粗颗粒。 穿孔气体分布板(12)设置在主体(10)中形成有流化床(14)的区域的下部,具有料斗形状的风箱设置在穿孔 气体分布板。 下料装置(29)连接到料斗形风箱(16)的下端,以排放落入风箱(16)中的材料。 气体供给系统(110)连接到风箱(16),以将用作干燥热气体和分级气体的流化气体供应到风箱中。 材料供给开口部分(20)安装到主体(10)上以供给颗粒材料。 卸料槽(24)连接到主体(10)以排出干燥的粗颗粒。 气体排出开口部(56)与主体(10)连接,排出含有微粒子的废气。 气体供给系统(110)包括通过控制供给到风箱(16)的气体的流量来控制分级粒子的流量控制器(111),以及通过调整来控制干燥程度的温度控制器(112) 根据调节后的流量供给到风箱(16)中的热气的温度。

    Image processing apparatus and method and storage medium storing program
    53.
    发明授权
    Image processing apparatus and method and storage medium storing program 失效
    图像处理装置和方法以及存储介质存储程序

    公开(公告)号:US06266128B1

    公开(公告)日:2001-07-24

    申请号:US09089428

    申请日:1998-06-03

    Abstract: An image processing apparatus which outputs an index print of information representing a plurality of pictures having picture size of different aspect ratios, with each of the plurality of pictures being respectively assigned a number in numerical order. The image processing apparatus detects size information for each of the plurality of pictures based on the respective aspect ratios, and a picture output order different from the numerical order is determined based on the detected size information for each of the plurality of pictures.

    Abstract translation: 一种图像处理装置,其输出表示具有不同宽高比的图像尺寸的多个图像的信息的索引列表,其中多个图像中的每一个分别以数字顺序分配一个数字。 图像处理装置基于各个宽高比来检测多个图像中的每一个的尺寸信息,并且基于检测到的多个图像中的每个图像的尺寸信息来确定与数字顺序不同的图像输出顺序。

    Fuzzy inference device using neural network
    54.
    发明授权
    Fuzzy inference device using neural network 失效
    使用神经网络的模糊推理装置

    公开(公告)号:US5630018A

    公开(公告)日:1997-05-13

    申请号:US265617

    申请日:1994-06-24

    CPC classification number: G06N7/046 Y10S706/90

    Abstract: A fuzzy inference device determines an inference operational quantity in accordance with inference rules each constituted by an antecedent and a consequent. An inference rule division determiner which receives data of input variables and output variables so as to determine the number of the inference rules. An antecedent neural element obtains a membership value corresponding to an antecedent of a specific inference rule from the divided data of the input variables and the output variables. A situational change processor adaptively determines an inference quantity of a consequent of each inference rule in the case of a change of an initial state or inference situations. An inference operational quantity determiner receives outputs from the antecedent neural element and the situational change processor and performs fuzzy inference in accordance with the inference rules so as to determine the inference operational quantity. An evaluator evaluates, on the basis of an evaluation reference, the inference operational quantity outputted by the inference operational quantity determiner.

    Abstract translation: 模糊推理装置根据由先行和后续构成的推理规则确定推理操作量。 推理规则分割确定器,其接收输入变量和输出变量的数据,以便确定推理规则的数量。 先行神经元从输入变量和输出变量的分割数据中获得对应于特定推理规则的先验的隶属关系值。 情境变化处理器在初始状态或推理情况的改变的情况下,自适应地确定每个推理规则的后果的推理量。 推理操作量确定器接收先前神经元和情境变化处理器的输出,并根据推理规则执行模糊推理,以确定推理操作量。 评价者基于评价参考,对由推理运算量确定器输出的推理运算量进行评价。

    Apparatus for automatically generating and adjusting fuzzy reasoning
rules based on reasoning error and method therefor
    55.
    发明授权
    Apparatus for automatically generating and adjusting fuzzy reasoning rules based on reasoning error and method therefor 失效
    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

    公开(公告)号:US5546506A

    公开(公告)日:1996-08-13

    申请号:US386526

    申请日:1995-02-06

    CPC classification number: G06N7/023 G05B13/0275 G06N7/026 Y10S706/90

    Abstract: 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.

    Abstract translation: 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。

    Inference rule determining method and inference device
    56.
    发明授权
    Inference rule determining method and inference device 失效
    推理规则确定方法和推理装置

    公开(公告)号:US5255344A

    公开(公告)日:1993-10-19

    申请号:US904690

    申请日:1992-06-26

    Abstract: An inference rule determining process according to the present invention sequentially determines, using a learning function of a neural network model, a membership function representing a degree which the conditions of the IF part of each inference rule is satisfied when input data is received to thereby obtain an optimal inference result without using experience rules. The inventive inference device uses an inference rule of the type "IF . . . THEN . . ." and includes a membership value determiner (1) which includes all of IF part and has a neural network; individual inference quantity determiners (21)-(2r) which correspond to the respective THEN parts of the inference rules and determine the corresponding inference quantities for the inference rules; and a final inference quantity determiner which determines these inference quantities synthetically to obtain the final results of the inference. If the individual inference quantity determiners (2) each has a neural network structure, the non-linearity of the neural network models is used to obtain the result of the inference with high inference accuracy even if an object to be inferred is non-linear.

    Abstract translation: 根据本发明的推理规则确定过程顺序地确定使用神经网络模型的学习功能,表示在接收到输入数据时满足每个推理规则的IF部分的条件的程度的隶属函数,从而获得 没有使用经验规则的最佳推理结果。 本发明的推理装置使用类型“IF ... THEN ...”的推理规则。 并且包括隶属值确定器(1),其包括所有的IF部分并具有神经网络; 单个推理量确定器(21) - (2r),其对应于推理规则的相应THEN部分并且确定推理规则的相应推理量; 以及最终推理量确定器,其合成地确定这些推理量以获得推断的最终结果。 如果个体推理量确定器(2)各具有神经网络结构,则即使要推断的对象是非线性的,也使用神经网络模型的非线性度来获得具有高推理精度的推理结果。

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