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    • 1. 发明授权
    • Sheet-processing apparatus
    • 片材加工装置
    • US07257937B2
    • 2007-08-21
    • US10786077
    • 2004-02-26
    • Masayuki NakagiriYasuhisa Watanabe
    • Masayuki NakagiriYasuhisa Watanabe
    • B65B25/14B65B35/50B65B63/00
    • B65H39/10B65H15/02B65H31/3054B65H31/3081B65H35/02B65H35/04B65H2301/33214B65H2301/42172B65H2301/4263B65H2301/4381Y10T83/202
    • A processing system which enables automation of processing of sheet bodies with a view to raising efficiency of operations, from stacking to packing. A plurality of paper sheaves, which have been produced by cutting and chopping, are transported in a width direction, sequentially fed to a transfer conveyor, transported from the transfer conveyor in a length direction, and fed to a cover sheet application device. At the cover sheet application device, the paper sheaves are superposed with cover sheets, and fed to an inversion apparatus. At the inversion apparatus, the paper sheaves are inverted such that the cover sheets are at upper sides, and are fed out to another cover sheet application device. At this cover sheet application device, the cover sheets are superposed with lower face sides of the paper sheaves. Hence, the paper sheaves, with the cover sheets superposed at both upper and lower faces thereof, are bagged.
    • 一种处理系统,其能够自动进行片体的处理,以提高操作的效率,从堆叠到包装。 已经通过切割和切割生产的多个纸槽轮在宽度方向上被输送,顺序地供给到传送输送机,从传送输送机沿长度方向输送,并送到盖片施加装置。 在覆盖片施加装置中,纸捆与盖片重叠,并送入反转装置。 在反转装置中,纸槽被倒置,使得盖板在上侧,并被送出到另一个盖片施加装置。 在该封面片施加装置中,覆盖片与纸槽的下表面重叠。 因此,在其上表面和下表面上重叠的覆盖片的纸束被包装。
    • 5. 发明授权
    • Hollow polymer particles, aqueous dispersion thereof and production process thereof
    • 中空聚合物颗粒,其水分散体及其制备方法
    • US07358281B2
    • 2008-04-15
    • US10992816
    • 2004-11-22
    • Yasuhisa WatanabeKouji Tamori
    • Yasuhisa WatanabeKouji Tamori
    • C08F2/38C08F2/22C08F257/02C08J9/00C08J9/40
    • C09D11/18C08F257/02C09D11/16C09D11/30C08F220/10
    • Disclosed are hollow polymer particles composed of a crosslinked polymer having a comparatively small particle diameter and a narrow particle diameter distribution, an aqueous dispersion of the particles, and an ink having good flying property.The hollow polymer particles are obtained by emulsion-polymerizing a crosslinkable polymerizable monomer composition absorbed in seed particles and containing a crosslinkable monomer component and a hydrophilic monomer component, wherein the seed particles are particles of a polymer having a weight average molecular weight of 500 to 15,000, and obtained by emulsion-polymerizing 100 parts by mass of a non-crosslinkable polymerizable monomer in the presence of 0.01 to 5 parts by mass of a chain transfer agent composed of at least one compound selected from the group consisting of α-methylstyrene dimer, thiuram disulfides and terpene hydrocarbons. The ink contains the hollow polymer particles.
    • 公开了由具有较小粒径和窄粒径分布的交联聚合物,颗粒的水分散体和具有良好飞行性能的油墨组成的中空聚合物颗粒。 中空聚合物颗粒通过将吸附在种子颗粒中并含有可交联单体组分和亲水单体组分的可交联聚合单体组合物进行乳液聚合而获得,其中种子颗粒是重均分子量为500至15,000的聚合物颗粒 通过在0.01〜5质量份的由至少一种选自由α-甲基苯乙烯二聚体,甲基苯乙烯二聚物,甲基苯乙烯二聚物组成的组中选择的化合物的链转移剂的存在下,将100质量份的不可交联聚合性单体进行乳液聚合, 秋兰姆二硫化物和萜烯烃。 油墨含有中空聚合物颗粒。
    • 7. 发明授权
    • Image recognition apparatus and image recognition method, and teaching apparatus and teaching method of the image recognition apparatus
    • 图像识别装置和图像识别方法,以及图像识别装置的教学装置和教学方法
    • US07634131B2
    • 2009-12-15
    • US10861896
    • 2004-06-04
    • Akira NakajimaYasuhisa Watanabe
    • Akira NakajimaYasuhisa Watanabe
    • G06K9/62
    • G06K9/6253
    • To provide an art capable of easily generating accurate teaching data from a small number of teacher images.The image of a standard object is captured to extract a characteristic value from the teacher image of the standard object through image processing while making a user input the already-known knowledge for a configuration of an object and an object such as a tolerance and entering the knowledge in a knowledge base. Then, context data in which various attributes which can be objects are described together with their semantics is generated in accordance with the characteristic value extracted from the teacher image of the standard object and the knowledge entered in the knowledge base. Moreover, attributes corresponding to types of characteristic values used for recognition processing are extracted from the context data entered in the knowledge base to generate the teaching data for the recognition processing.
    • 提供能够从少量教师图像中容易地产生精确教学数据的艺术。 捕获标准对象的图像,以通过图像处理从标准对象的教师图像中提取特征值,同时使用户输入已知知识用于对象和对象的配置(例如容差)并且进入 知识基础知识。 然后,根据从标准对象的教师图像提取的特征值和在知识库中输入的知识,生成其中可以描述对象的各种属性及其语义的上下文数据。 此外,从输入到知识库中的上下文数据中提取对应于用于识别处理的特征值的类型的属性,以生成用于识别处理的教学数据。
    • 10. 发明申请
    • Image recognition apparatus and image recognition method, and teaching apparatus and teaching method of the image recognition apparatus
    • 图像识别装置和图像识别方法,以及图像识别装置的教学装置和教学方法
    • US20050002562A1
    • 2005-01-06
    • US10861896
    • 2004-06-04
    • Akira NakajimaYasuhisa Watanabe
    • Akira NakajimaYasuhisa Watanabe
    • G06T7/00G06K9/62G06K9/00
    • G06K9/6253
    • To provide an art capable of easily generating accurate teaching data from a small number of teacher images. The image of a standard object is captured to extract a characteristic value from the teacher image of the standard object through image processing while making a user input the already-known knowledge for a configuration of an object and an object such as a tolerance and entering the knowledge in a knowledge base. Then, context data in which various attributes which can be objects are described together with their semantics is generated in accordance with the characteristic value extracted from the teacher image of the standard object and the knowledge entered in the knowledge base. Moreover, attributes corresponding to types of characteristic values used for recognition processing are extracted from the context data entered in the knowledge base to generate the teaching data for the recognition processing.
    • 提供能够从少量教师图像中容易地产生精确教学数据的艺术。 捕获标准对象的图像,以通过图像处理从标准对象的教师图像中提取特征值,同时使用户输入已知知识用于对象和对象的配置(例如容差)并且进入 知识基础知识。 然后,根据从标准对象的教师图像提取的特征值和在知识库中输入的知识,生成其中可以描述对象的各种属性及其语义的上下文数据。 此外,从输入到知识库中的上下文数据中提取对应于用于识别处理的特征值的类型的属性,以生成用于识别处理的教学数据。