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1. 发明授权

US5024920A Process for forming a pattern using a photosensitive azide and a high-molecular weight copolymer or polymer 失效
标题翻译：使用光敏叠氮化物和高分子量共聚物或聚合物形成图案的方法
公开(公告)号：US5024920A
公开(公告)日：1991-06-18
申请号：US355635
申请日：1989-05-23
申请人： Hajime Morishita , Nobuaki Hayashi , Saburo Nonogaki , Michiaki Hashimoto , Masato Ito , Masahiro Nishizawa , Kiyoshi Miura , Yoshiyuki Odaka
发明人： Hajime Morishita , Nobuaki Hayashi , Saburo Nonogaki , Michiaki Hashimoto , Masato Ito , Masahiro Nishizawa , Kiyoshi Miura , Yoshiyuki Odaka
IPC分类号： G02B5/20 , G03F7/00 , G03F7/012 , G03F7/26
CPC分类号： G03F7/012
摘要： This invention relates to a process for forming a pattern using a photosensitive composition comprising a polymeric azide and a high-molecular weight copolymer or polymer. The photosensitive composition comprises a copolymer containing at least a water-soluble non-photosensitive monomeric unit having an electrolytic functional group, a monomeric unit having an azido group and an electrolytic functional group and a high-soluble high molecular weight copolymer or polymer which exhibits reciprocity law failure characteristic.
摘要翻译：本发明涉及使用包含聚合叠氮化物和高分子量共聚物或聚合物的光敏组合物形成图案的方法。光敏组合物包含至少含有具有电解官能团的水溶性非感光单体单元，具有叠氮基的单体单元和电解官能团的共聚物以及表现出互易性的高溶解性高分子量共聚物或聚合物法律失效特征。

2. 发明授权

US5173382A Photosensitive composition containing water-soluble binder and aromatic diazonium chromate forming fluorescent screens employing same 失效
标题翻译：含有水溶性粘合剂和使用其的芳族重铬酸盐形成荧光屏的光敏组合物
公开(公告)号：US5173382A
公开(公告)日：1992-12-22
申请号：US462589
申请日：1990-01-09
申请人： Hajime Morishita , Nobuaki Hayashi , Saburo Nonogaki , Masato Ito , Masahiro Nishizawa , Kiyoshi Miura
发明人： Hajime Morishita , Nobuaki Hayashi , Saburo Nonogaki , Masato Ito , Masahiro Nishizawa , Kiyoshi Miura
IPC分类号： G03F7/016 , G03F7/04 , H01J9/227
CPC分类号： G03F7/016 , Y10S430/11 , Y10S430/163
摘要： A photosensitive composition comprising a water-soluble polymer, a dichromate and at least one aromatic diazonium salt selected from aromatic diazonium sulfates, sulfonates and chromates has high sensitivity, and a pattern having high resolution can be formed therefrom with a shortened exposure time.
摘要翻译：包含选自芳族重氮硫酸盐，磺酸盐和铬酸盐的水溶性聚合物，重铬酸盐和至少一种芳族重氮盐的光敏组合物具有高灵敏度，并且可以缩短曝光时间从而形成具有高分辨率的图案。

3. 发明授权

US09589082B2 Data processing device that calculates an arrival probability for a destination using a user's movement history including a missing portion 有权
标题翻译：数据处理装置，其使用包括缺失部分的用户的移动历史来计算目的地的到达概率
公开(公告)号：US09589082B2
公开(公告)日：2017-03-07
申请号：US13878920
申请日：2011-11-07
申请人： Naoki Ide , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Masato Ito , Kohtaro Sabe
IPC分类号： G06F17/50 , G01C21/34 , G01C21/36 , G08G1/01 , G06F17/18 , G01S5/00 , G06N99/00
CPC分类号： G06F17/5009 , G01C21/3484 , G01C21/3617 , G01S5/0009 , G06F17/18 , G06F17/50 , G06N99/005 , G08G1/0129
摘要： The present invention relates to a data processing device, a data processing method, and a program which enable prediction to be performed even when there is a gap in the current location data to be obtained in real time. A learning main processor 23 represents movement history data serving as data for learning, as a probability model which represents a user's activity, and obtains a parameter thereof. A prediction main processor 33 uses the probability model obtained by learning to estimate a user's current location from movement history data to be obtained in real time. In the event that there is a data missing portion included in movement history data to be obtained in real time, the prediction main processor 33 generates the data missing portion thereof by interpolation processing, and estimates state nose series corresponding to the interpolated data for prediction. With estimation of state node series, an observation probability less contribution of data than actual data is employed regarding interpolated data. The present invention may be applied to a data processing device configured to predict a destination from movement history data, for example.
摘要翻译：数据处理装置，数据处理方法和程序技术领域本发明涉及即使在实时获取的当前位置数据存在间隙的情况下也能进行预测的数据处理装置，数据处理方法和程序。学习主处理器23表示作为用于学习的数据的运动历史数据，作为表示用户的活动的概率模型，并且获得其参数。预测主处理器33使用通过学习获得的概率模型来实时地获得的移动历史数据来估计用户的当前位置。在要实时获取的移动历史数据中包含数据缺失部分的情况下，预测主处理器33通过内插处理生成其数据缺失部分，并且估计与用于预测的内插数据相对应的状态鼻序列。通过估计状态节点序列，对于内插数据采用数据比实际数据更少的观测概率。本发明可以应用于例如被配置为从移动历史数据预测目的地的数据处理装置。

4. 发明授权

US09285235B2 Information processing device, information processing method, and program 有权
标题翻译：信息处理装置，信息处理方法和程序
公开(公告)号：US09285235B2
公开(公告)日：2016-03-15
申请号：US14005648
申请日：2012-03-16
申请人： Naoki Ide , Yoshiyuki Kobayashi , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Yoshiyuki Kobayashi , Masato Ito , Kohtaro Sabe
IPC分类号： G01C21/00 , G01C21/36 , G01C21/34 , G06N5/00
CPC分类号： G01C21/3617 , G01C21/3484
摘要： The present technique relates to an information processing device, an information processing method and a program which can accumulate sufficient movement history data with a little power consumption. A similarity search unit searches for a past route similar to the immediate movement history which is acquired by a position sensor unit and which has time series position data, from the search data stored in a past history DB. A fitness determination unit determines whether or not goodness of fit of the past route searched by the similarity search unit and the immediate movement history is a predetermined threshold or more. A sensor control unit controls an acquisition interval of the position data of the position sensor unit according to a determination result of the fitness determination unit. The technique of this disclosure is applicable to a prediction device which, for example, acquires position data and predicts a predicted route.
摘要翻译：本技术涉及一种信息处理装置，信息处理方法和程序，其能够以少量功耗累积足够的运动历史数据。相似度搜索单元从存储在过去历史DB中的搜索数据中搜索类似于由位置传感器单元获取并具有时间序列位置数据的即时移动历史的过去路线。适应度确定单元确定由相似性搜索单元搜索的过去路线的适合度和即时移动历史是否为预定阈值以上。传感器控制单元根据适应度判定单元的确定结果控制位置传感器单元的位置数据的采集间隔。本公开的技术可应用于例如获取位置数据并预测预测路线的预测装置。

5. 发明授权

US09232205B2 Information processing device, information processing method and program 有权
标题翻译：信息处理装置，信息处理方法和程序
公开(公告)号：US09232205B2
公开(公告)日：2016-01-05
申请号：US13814181
申请日：2011-08-02
申请人： Hirotaka Suzuki , Masato Ito
发明人： Hirotaka Suzuki , Masato Ito
IPC分类号： G06F17/30 , G06K9/00 , H04N9/87
CPC分类号： H04N9/87 , G06F17/30796 , G06F17/30843 , G06F17/30852 , G06K9/00718 , G06K2209/27
摘要： An information processing device, method and a program adds an annotation to content and provides an application which utilizes the annotation. A learning module extracts an image feature amount of each frame of an image of learning content and extracts word frequency information regarding a frequency of appearance of each word in a description text, and learns an annotation models which is a multi-stream Hidden Markov Model (HMM) by using a multi-stream including the image feature amount and the text feature amount. A browsing controller extracts a scene which is a group of one or more temporally continuous frames from target content by using the annotation model and displays representative images of the scenes so as to be arranged in chronological order.
摘要翻译：信息处理设备，方法和程序向内容添加注释并提供利用注释的应用。学习模块提取学习内容的图像的每帧的图像特征量，并提取关于描述文本中的每个单词的出现频率的单词频率信息，并且学习作为多流隐马尔可夫模型的注释模型（ HMM）通过使用包括图像特征量和文本特征量的多流。浏览控制器通过使用注释模型从目标内容中提取作为一个或多个时间上连续的帧的组的场景，并且以时间顺序排列场景的代表性图像。

6. 发明授权

US09166519B2 Motor control device 有权
标题翻译：电机控制装置
公开(公告)号：US09166519B2
公开(公告)日：2015-10-20
申请号：US13978562
申请日：2011-01-25
申请人： Masato Ito , Yoshihiko Kinpara
发明人： Masato Ito , Yoshihiko Kinpara
IPC分类号： G01R31/34 , H02P27/00 , H02P31/00 , H02P23/00 , H02P23/14 , H02P27/08
CPC分类号： H02P31/00 , H02P23/14 , H02P23/22 , H02P27/085
摘要： A motor control device includes: a frequency instruction setting section for outputting a plurality of frequency instructions; an AC voltage instruction generation section for generating and outputting an AC voltage instruction based on each of the frequency instructions; a voltage application section for applying voltage to a motor based on the AC voltage instruction; a current detection section for detecting motor current flowing in the motor; and a type determination section for determining the type of the motor based on a transfer characteristic of the motor calculated from the motor current, the AC voltage instruction, and the frequency instruction.
摘要翻译：电动机控制装置包括：频率指令设定部分，用于输出多个频率指令; 交流电压指令生成部分，用于基于每个频率指令产生和输出交流电压指令; 电压施加部，其基于所述交流电压指令向电动机施加电压; 用于检测在电动机中流动的电动机电流的电流检测部分; 以及类型确定部分，用于基于从电动机电流，AC电压指令和频率指令计算出的电动机的传递特性来确定电动机的类型。

7. 发明申请

US20130197890A1 DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM 有权
标题翻译：数据处理设备，数据处理方法和程序
公开(公告)号：US20130197890A1
公开(公告)日：2013-08-01
申请号：US13878920
申请日：2011-11-07
申请人： Naoki Ide , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Masato Ito , Kohtaro Sabe
IPC分类号： G06F17/50
CPC分类号： G06F17/5009 , G01C21/3484 , G01C21/3617 , G01S5/0009 , G06F17/18 , G06F17/50 , G06N99/005 , G08G1/0129
摘要： The present invention relates to a data processing device, a data processing method, and a program which enable prediction to be performed even when there is a gap in the current location data to be obtained in real time. A learning main processor 23 represents movement history data serving as data for learning, as a probability model which represents a user's activity, and obtains a parameter thereof. A prediction main processor 33 uses the probability model obtained by learning to estimate a user's current location from movement history data to be obtained in real time. In the event that there is a data missing portion included in movement history data to be obtained in real time, the prediction main processor 33 generates the data missing portion thereof by interpolation processing, and estimates state nose series corresponding to the interpolated data for prediction. With estimation of state node series, an observation probability less contribution of data than actual data is employed regarding interpolated data. The present invention may be applied to a data processing device configured to predict a destination from movement history data, for example.
摘要翻译：数据处理装置，数据处理方法和程序技术领域本发明涉及即使在实时获取的当前位置数据存在间隙的情况下也能进行预测的数据处理装置，数据处理方法和程序。学习主处理器23表示作为用于学习的数据的运动历史数据，作为表示用户的活动的概率模型，并且获得其参数。预测主处理器33使用通过学习获得的概率模型来实时地获得的移动历史数据来估计用户的当前位置。在要实时获取的移动历史数据中包含数据缺失部分的情况下，预测主处理器33通过内插处理生成其数据缺失部分，并且估计与用于预测的内插数据相对应的状态鼻序列。通过估计状态节点序列，对于内插数据采用数据比实际数据更少的观测概率。本发明可以应用于例如被配置为从移动历史数据预测目的地的数据处理装置。

8. 发明授权

US08344187B2 Practical method for reducing esters or lactones 有权
标题翻译：减少酯或内酯的实用方法
公开(公告)号：US08344187B2
公开(公告)日：2013-01-01
申请号：US12991073
申请日：2009-06-26
申请人： Takao Ikariya , Masato Ito , Akira Shiibashi , Takashi Ootsuka
发明人： Takao Ikariya , Masato Ito , Akira Shiibashi , Takashi Ootsuka
IPC分类号： C07C29/136 , C07C29/149
CPC分类号： C07C29/149 , C07B31/00 , C07B2200/07 , C07C31/38 , C07C33/22 , C07C33/26 , C07C31/20
摘要： Esters and lactones can be respectively reduced to alcohols and diols in the presence of the Group 8 (VIII) transition metal complex, base and hydrogen gas (H2). An extremely practical reduction method can be provided by preferable combinations of the Group 8 (VIII) transition metal complex, the base, a used amount of the base, a pressure of hydrogen gas and a reaction temperature. This method is used in place of hydride reduction and is a useful method by which design of highly active catalysts can be relatively easily made while a high productivity can be expected.
摘要翻译：在第8（VIII）族过渡金属络合物，碱和氢气（H2）的存在下，酯和内酯可以分别还原为醇和二醇。可以通过组8（VIII）过渡金属络合物，碱，碱的使用量，氢气的压力和反应温度的优选组合来提供非常实用的还原方法。该方法用于代替氢化物还原，并且是可以相对容易地制备高活性催化剂的设计的有用方法，同时可以预期高生产率。

9. 发明申请

US20110313957A1 DATA PROCESSING APPARATUS, DATA PROCESSING METHOD AND PROGRAM 审中-公开
标题翻译：数据处理设备，数据处理方法和程序
公开(公告)号：US20110313957A1
公开(公告)日：2011-12-22
申请号：US13160435
申请日：2011-06-14
申请人： Naoki IDE , Masato Ito
发明人： Naoki IDE , Masato Ito
IPC分类号： G06F15/18
CPC分类号： G01C21/3617 , G01C21/20 , G06N20/00
摘要： A data processing apparatus includes: a learning section which obtains parameters of a probability model; a destination and stopover estimating section which estimates a destination node corresponding to a movement destination and a stopover node corresponding to a movement stopover; a current location estimating section which inputs the movement history data of the user within a predetermined time from a current time to the probability model using the parameters obtained by learning, and estimates a current location node corresponding to a current location of the user; a searching section which searches for a route to the destination from the current location of the user; and a calculating section which calculates an arrival probability and a time to reach the searched destination. The learning section includes a known or unknown determining section, a parameter updating section, a new model generating section, and a new model combining section.
摘要翻译：数据处理装置包括：获取概率模型参数的学习部分; 目的地和中途停止估计部，其估计与移动目的地对应的目的地节点和对应于移动中途停留的中途停止节点; 当前位置估计部分，使用通过学习获得的参数，将预定时间内的用户的运动历史数据从当前时间输入到概率模型，并且估计与用户当前位置相对应的当前位置节点; 搜索部，其从用户的当前位置搜索到目的地的路线; 以及计算部，其计算到达所述目的地的到达概率和时间。学习部分包括已知或未知的确定部分，参数更新部分，新模型生成部分和新模型组合部分。

10. 发明申请

US20110302116A1 DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM 审中-公开
标题翻译：数据处理设备，数据处理方法和程序
公开(公告)号：US20110302116A1
公开(公告)日：2011-12-08
申请号：US13116940
申请日：2011-05-26
申请人： Naoki Ide , Masato Ito , Kohtaro Sabe
发明人： Naoki Ide , Masato Ito , Kohtaro Sabe
IPC分类号： G06F15/18
CPC分类号： G08G1/096844 , G01C21/3484 , G06N20/00
摘要： A data processing device including a learning section which expresses user movement history data obtained as learning data as a probability model which expresses activities of a user and learns parameters of the model; a destination and stopover estimation section which estimates a destination node and a stopover node from state nodes of the probability model; a current location estimation section which inputs the user movement history data in the probability model and estimates a current location node which is equivalent to the current location of the user; a searching section which searches for a route from the current location of the user to a destination using information on the estimated destination node and stopover node and the current location node and the probability model obtained by learning; and a calculating section which calculates an arrival probability and a necessary time to the searched destination.
摘要翻译：一种数据处理装置，包括学习部，其将作为学习数据获取的用户移动历史数据表示为表示用户的活动并学习模型的参数的概率模型; 目的地和中途停留估计部，其从所述概率模型的状态节点估计目的地节点和中途停止节点; 当前位置估计部分，其输入概率模型中的用户移动历史数据，并估计与当前用户的当前位置相当的当前位置节点; 搜索部，其使用关于所估计的目的地节点和中继节点以及当前位置节点的信息和通过学习获得的概率模型来搜索从用户的当前位置到目的地的路线; 以及计算部分，其计算到所搜索到的目的地的到达概率和必要时间。

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