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1. 发明授权

US5703778A Traffic control method for relieving vehicle congestion on parallel roads 失效
标题翻译：平行道路车辆堵塞的交通控制方法
公开(公告)号：US5703778A
公开(公告)日：1997-12-30
申请号：US457500
申请日：1995-06-01
申请人： Kazunori Takahashi , Nobuhiro Hamada , Masao Takatoo , Tohru Nagai , Toshiko Suzuki , Souichi Furukawa
发明人： Kazunori Takahashi , Nobuhiro Hamada , Masao Takatoo , Tohru Nagai , Toshiko Suzuki , Souichi Furukawa
IPC分类号： G08G1/08 , G08G1/065 , G08G1/07
CPC分类号： G08G1/08
摘要： A road traffic control method is provided which can continue to maximize the number of vehicles allowed to run on a road and shorten time required for a vehicle to reach a destination, by preventing and relieving congestion. The method controls traffic of vehicles running on each of a plurality of parallel running roads. Each road is made connected at an interval of a predetermined distance, and at least one of the plurality of roads has a plurality of lanes. The method includes the steps of: detecting traffic of vehicles running in two counter directions on each road, at a position before at least one connected point of each of the plurality of roads; and changing ratio between the numbers of lanes of at least one of the plurality of roads, in accordance with the detected traffic of vehicles running in the two counter directions.
摘要翻译：提供一种道路交通控制方法，其可以通过防止和解除拥堵，继续使允许在道路上行驶的车辆数量最大化，并缩短车辆到达目的地所需的时间。该方法控制在多个并行运行道路中的每一个上运行的车辆的运输。每个道路以预定距离的间隔连接，并且多个道路中的至少一个具有多个车道。该方法包括以下步骤：在每个道路上的每个道路的至少一个连接点之前的位置处，检测在每个道路上沿两个相反方向行驶的车辆的交通; 以及根据检测到的在两个相反方向上行驶的车辆的交通量来改变多个道路中的至少一个道路的车道数量之间的比例。

2. 发明授权

US5646853A Traffic control system 失效
标题翻译：交通控制系统
公开(公告)号：US5646853A
公开(公告)日：1997-07-08
申请号：US913902
申请日：1992-07-16
申请人： Kazunori Takahashi , Nobuhiro Hamada , Masao Takatoo , Tohru Nagai , Toshiko Suzuki
发明人： Kazunori Takahashi , Nobuhiro Hamada , Masao Takatoo , Tohru Nagai , Toshiko Suzuki
IPC分类号： G08G1/00 , G08G1/04 , G08G1/08 , G06F163/00 , G08G1/081 , G08G1/0962
CPC分类号： G08G1/08
摘要： A traffic control system having a road information storing unit for storing information of a road map and the capacity of roads on the road map, a traffic measuring unit for measuring the traffic of roads, a traffic increase/decrease quantity calculating unit for calculating a traffic increase/decrease quantity between main points by using the measured traffic, a road traffic calculating unit for calculating traffic of a main road, by using the traffic increase/decrease quantity, and an area determining unit for determining an area which is the area for congestions less traffic by using the calculated traffic and the road capacity while maintaining the traffic increase/decrease quantity at a proper value. It is possible to control the traffic while considering nearby traffic conditions, to prevent and relieve congestion, and to maximize the traffic of roads, thereby minimizing the time required for reaching a destination.
摘要翻译：一种交通控制系统，具有道路信息存储单元，用于存储道路地图的信息和道路地图上的道路的容量，用于测量道路交通的交通量测量单元，用于计算交通的交通增减量计算单元通过使用测量的交通量在主要点之间的数量增加/减少，用于计算主要道路的交通量的道路交通计算单元，通过使用交通增加/减少量，以及区域确定单元，用于确定作为拥挤区域的区域通过使用计算的交通量和道路容量减少交通，同时将交通量增加/减少量保持在适当的值。可以在考虑附近的交通状况的同时控制交通状况，以防止和减轻拥挤，并最大化道路交通，从而最小化到达目的地所需的时间。

3. 发明授权

US5546503A Apparatus for configuring neural network and pattern recognition apparatus using neural network 失效
标题翻译：用于使用神经网络配置神经网络和模式识别装置的装置
公开(公告)号：US5546503A
公开(公告)日：1996-08-13
申请号：US744263
申请日：1991-08-13
申请人： Shigeo Abe , Masahiro Kayama , Hiroshi Takenaga , Yasuo Morooka , Junzo Kawakami , Masao Takatoo
发明人： Shigeo Abe , Masahiro Kayama , Hiroshi Takenaga , Yasuo Morooka , Junzo Kawakami , Masao Takatoo
IPC分类号： G06F15/18 , G06K9/66 , G06N3/04 , G06N3/063 , G06N3/08 , G06N99/00 , G06T7/00 , G06K9/00 , G06F15/46
CPC分类号： G06K9/6281 , G06K9/6286 , G06N3/082
摘要： In a neural network having neurons connected in a multi-layer, firstly, input signal sets are sequentially entered to statistically process the outputs of hidden neurons and determine the optimum number of hidden neurons. Secondly, while changing the input signal entered to each input neuron to the maximum change limit, the change of output values of the other input neurons are checked to thereby determine an unnecessary input neuron. Thirdly, the weights between input neurons and hidden neurons are set to be in correspondence with a hyperplane to enable pattern recognition.
摘要翻译：在具有连接在多层神经元的神经网络中，首先，输入信号组被依次输入以统计处理隐藏神经元的输出并确定隐藏神经元的最佳数量。其次，将输入到每个输入神经元的输入信号改变到最大变化极限时，检查其他输入神经元的输出值的变化，从而确定不必要的输入神经元。第三，输入神经元和隐藏神经元之间的权重被设置为与超平面相对应以启用模式识别。

4. 发明授权

US4941192A Method and apparatus for recognizing pattern of gray level image 失效
标题翻译：用于识别灰度图像图案的方法和装置
公开(公告)号：US4941192A
公开(公告)日：1990-07-10
申请号：US183689
申请日：1988-04-19
申请人： Tadaaki Mishima , Morio Kanasaki , Masao Takatoo , Hideo Ota
发明人： Tadaaki Mishima , Morio Kanasaki , Masao Takatoo , Hideo Ota
IPC分类号： G06K9/38 , G06K9/36 , G06K9/46 , G06T7/00
CPC分类号： G06K9/4647 , G06K9/36 , G06K2209/01
摘要： In a method of recognizing a pattern of a gray level image the image to be processed is subjected to a normalization process, local gray level feature parameters are extracted from the normalized image at its sampling points, and the pattern is identified by using the extracted feature parameters in accordance with a predetermined recognition procedure. An apparatus for recognizing a pattern of a gray level includes a memory for storing a gray level image having several brightness tone levels, a normalization circuit for normalizing the brightness of the gray level image to be processed, an extraction circuit for extracting local gray level feature parameters from the obtained normality image at specific points, and a recognition circuit for identifying the pattern by using the feature parameters in accordance with a predetermined.

5. 发明授权

US4644490A Floating point data adder 失效
标题翻译：浮点数据加法器
公开(公告)号：US4644490A
公开(公告)日：1987-02-17
申请号：US599167
申请日：1984-04-11
申请人： Takao Kobayashi , Shigeo Abe , Tadaaki Bandoh , Masao Takatoo , Hidekazu Matsumoto , Hideyuki Hara
发明人： Takao Kobayashi , Shigeo Abe , Tadaaki Bandoh , Masao Takatoo , Hidekazu Matsumoto , Hideyuki Hara
IPC分类号： G06F7/485 , G06F5/01 , G06F7/00 , G06F7/50 , G06F7/508 , G06F7/76
CPC分类号： G06F7/485 , G06F2207/3884
摘要： A pipelined adder for adding or subtracting two floating point input data each expressed by a sign data, an exponent data and a mantissa expressed in a sign-magnitude format, in accordance with an external operation mode designation signal to produce a floating point sum or difference data in a sign-magnitude format. In a first stage of the adder, the magnitudes of the exponent data of the input data are compared by a subtractor or a comparator and the magnitudes of the mantissa data of the input data are compared by a subtractor or a comparator. An actual operation mode for the mantissa data of the input data is determined, on the basis of the compare results of the exponent data and the mantissa data and the external operation mode designation signals, so that the operation result data is always expressed in a sign-magnitude format.
摘要翻译：一种流水线加法器，用于根据外部操作模式指定信号，加上或减去由符号数据，指数数据和符号幅度格式表示的尾数表示的两个浮点输入数据，以产生浮点和或差数据格式的数据。在加法器的第一级中，通过减法器或比较器比较输入数据的指数数据的大小，并通过减法器或比较器比较输入数据的尾数数据的大小。基于指数数据和尾数数据和外部操作模式指定信号的比较结果确定输入数据的尾数数据的实际操作模式，使得操作结果数据总是以符号表示 -magnitude格式。

6. 发明授权

US5825920A Method and unit for binary processing in image processing unit and method and unit for recognizing characters 失效
标题翻译：图像处理单元二进制处理方法和单元，识别字符的方法和单元
公开(公告)号：US5825920A
公开(公告)日：1998-10-20
申请号：US995760
申请日：1992-12-22
申请人： Tadaaki Kitamura , Masao Takatoo , Norio Tanaka
发明人： Tadaaki Kitamura , Masao Takatoo , Norio Tanaka
IPC分类号： G06K9/32 , G06K9/38 , G06K9/34
CPC分类号： G06K9/3283 , G06K9/38 , G06K2209/01
摘要： A binary processing method for a variable density image the method includes the steps of binary processing an image having variable density, according to which brightness of an image having variable density to be binary processed is given as 1/n (where n is an integer of 2 or above), and expansion processing and smoothening processing the image having the brightness of 1/n so that a threshold value image for binary processing is generated. A difference is obtained between the threshold value image and the variable density image to be binary processed, such that it is possible to carry out binary processing even for an image having a complex background or variance in brightness.
摘要翻译：用于可变密度图像的二进制处理方法包括以下步骤：对具有可变密度的图像进行二进制处理，根据该方法将具有二进制处理的可变密度的图像的亮度设为1 / n（其中n是 2或以上），并且对亮度为1 / n的图像进行扩展处理和平滑处理，从而生成用于二进制处理的阈值图像。在阈值图像和要进行二进制处理的可变密度图像之间获得差异，使得即使对于具有复杂背景或亮度差异的图像，也可以执行二进制处理。

7. 发明授权

US5554983A Object recognition system and abnormality detection system using image processing 失效
标题翻译：物体识别系统和使用图像处理的异常检测系统
公开(公告)号：US5554983A
公开(公告)日：1996-09-10
申请号：US51692
申请日：1993-04-23
申请人： Tadaaki Kitamura , Yoshiki Kobayashi , Kunio Nakanishi , Masakazu Yahiro , Yoshiyuki Satoh , Toshiro Shibata , Takeshi Horie , Katsuyuki Yamamoto , Masao Takatoo , Haruki Inoue , Kazuyoshi Asada
发明人： Tadaaki Kitamura , Yoshiki Kobayashi , Kunio Nakanishi , Masakazu Yahiro , Yoshiyuki Satoh , Toshiro Shibata , Takeshi Horie , Katsuyuki Yamamoto , Masao Takatoo , Haruki Inoue , Kazuyoshi Asada
IPC分类号： G06T7/20 , G08G1/04 , G08G1/017
CPC分类号： G08G1/04 , G06T7/204 , G06T2207/10016 , G06T2207/30232 , G06T2207/30236 , G06T2207/30241 , G06T2207/30248
摘要： An object recognition system using the image processing in which an area having a unique feature is extracted from an input image of an object, the unique image is registered in a shade template memory circuit as a shade template, the input image is searched for an image similar to the shade template registered by a shade pattern matching circuit, the position of an object is determined for each template, the speed and direction of movement of the object is determined from the positional information, and the results thereof are integrated by a separation/integration circuit, thereby recognizing the whole of the moving object.
摘要翻译：使用其中从对象的输入图像中提取具有唯一特征的区域的图像处理的对象识别系统，将唯一图像作为阴影模板登记在阴影模板存储电路中，搜索输入图像的图像类似于由阴影图案匹配电路登记的阴影模板，针对每个模板确定对象的位置，根据位置信息确定对象的移动速度和移动方向，并且其结果通过分离/ 集成电路，从而识别整个移动物体。

8. 发明授权

US5003616A Image processing apparatus 失效
标题翻译：图像处理装置
公开(公告)号：US5003616A
公开(公告)日：1991-03-26
申请号：US203643
申请日：1988-05-31
申请人： Miyahiko Orita , Morio Kanasaki , Yuji Toda , Tadaaki Mishima , Masato Suzuki , Chieko Onuma , Masao Takatoo
发明人： Miyahiko Orita , Morio Kanasaki , Yuji Toda , Tadaaki Mishima , Masato Suzuki , Chieko Onuma , Masao Takatoo
IPC分类号： G06T7/00
CPC分类号： G06T7/00
摘要： An image processing apparatus having a character extraction unit for extracting an area whose density distribution characteristic meets a predetermined condition such as a binarization threshold and a size and a type of local filtering, from an input image of multiple gray levels, and extracts an object area as an output image from the input image by using the characteristic extraction unit. An area designation means designates an area having a uniform density distribution and containing the object area, to the input image. Condition determination means determines the condition for the characteristic extraction unit based on the density distribution characteristic of the input image in the designated area. In an image processing expert system, the image characteristics of the object image and the background in the area designated by the area designation means are evaluated and analyzed and the inquiry in the form of message is effected to quantize the evaluation of the image characteristic. As a result, the area extraction procedure can be easily executed by the interaction with an operator.
摘要翻译：一种具有字符提取单元的图像处理装置，用于从多个灰度的输入图像中提取密度分布特性满足诸如二值化阈值和尺寸和类型的局部滤波的预定条件的区域，并且提取对象区域作为通过使用特征提取单元从输入图像输出的图像。区域指定装置将具有均匀密度分布并包含对象区域的区域指定给输入图像。条件确定装置基于指定区域中的输入图像的浓度分布特性来确定特征提取单元的条件。在图像处理专家系统中，评估和分析由区域指定装置指定的区域中的对象图像的图像特性和背景，并且以消息的形式进行查询以量化图像特性的评估。结果，可以通过与操作者的交互来容易地执行区域提取过程。

9. 发明授权

US5757287A Object recognition system and abnormality detection system using image processing 失效
公开(公告)号：US5757287A
公开(公告)日：1998-05-26
申请号：US584667
申请日：1996-01-11
申请人： Tadaaki Kitamura , Yoshiki Kobayashi , Kunio Nakanishi , Masakazu Yahiro , Yoshiyuki Satoh , Toshiro Shibata , Takeshi Horie , Katsuyuki Yamamoto , Masao Takatoo , Haruki Inoue , Kazuyoshi Asada
发明人： Tadaaki Kitamura , Yoshiki Kobayashi , Kunio Nakanishi , Masakazu Yahiro , Yoshiyuki Satoh , Toshiro Shibata , Takeshi Horie , Katsuyuki Yamamoto , Masao Takatoo , Haruki Inoue , Kazuyoshi Asada
IPC分类号： G06T7/20 , G08G1/04 , G08G1/017
CPC分类号： G08G1/04 , G06T7/204 , G06T2207/10016 , G06T2207/30232 , G06T2207/30236 , G06T2207/30241 , G06T2207/30248
摘要： An object recognition system using the image processing in which an area having a unique feature is extracted from an input image of an object, the unique image is registered in a shade template memory circuit as a shade template, the input image is searched for an image similar to the shade template registered by a shade pattern matching circuit, the position of an object is determined for each template, the speed and direction of movement of the object is determined from the positional information, and the results thereof are integrated by a separation/integration circuit, thereby recognizing the whole of the moving object.

10. 发明授权

US5295197A Information processing system using neural network learning function 失效
标题翻译：信息处理系统采用神经网络学习功能
公开(公告)号：US5295197A
公开(公告)日：1994-03-15
申请号：US774887
申请日：1991-10-11
申请人： Hiroshi Takenaga , Yoshiyuki Okuyama , Masao Takatoo , Kazuyoshi Asada , Norio Tanaka , Tadaaki Kitamura , Kuniyuki Kikuchi
发明人： Hiroshi Takenaga , Yoshiyuki Okuyama , Masao Takatoo , Kazuyoshi Asada , Norio Tanaka , Tadaaki Kitamura , Kuniyuki Kikuchi
IPC分类号： G06K9/66 , G06K9/00
CPC分类号： G06K9/66
摘要： An information processing apparatus using a neural network learning function has, in one embodiment, a computer system and a pattern recognition apparatus associated with each other via a communication cable. The computer system includes a learning section having a first neural network and serves to adjust the weights of connection therein as a result of learning with a learning data signal supplied thereto from the pattern recognition apparatus via the communication cable. The pattern recognition apparatus includes an associative output section having a second neural network and receives data on the adjusted weights from the learning section via the communication cable to reconstruct the second neural network with the data on the adjusted weights. The pattern recognition apparatus with the associative output section having the reconstructed second neural network performs pattern recognition independently of the computer system with the communication cable being brought into an electrical isolation mode.
摘要翻译：在一个实施例中，使用神经网络学习功能的信息处理设备通过通信电缆彼此相关联的计算机系统和模式识别设备。计算机系统包括具有第一神经网络的学习部分，并且用于通过经由通信电缆从模式识别装置向其提供的学习数据信号的学习来调整其中的连接的权重。模式识别装置包括具有第二神经网络的关联输出部分，并且经由通信电缆接收来自学习部分的经调整的权重的数据，以利用调整后的权重的数据重构第二神经网络。具有重建的第二神经网络的关联输出部分的模式识别装置在通信电缆进入电隔离模式的情况下，独立于计算机系统执行模式识别。

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