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    • 51. 发明授权
    • Process for producing ethylene glycol catalyzed by ionic liquid
    • 由离子液体催化生产乙二醇的方法
    • US08658842B2
    • 2014-02-25
    • US13520008
    • 2010-06-07
    • Suojiang ZhangJian SunWeiguo ChengJinquan WangJianxin ZhangZengzeng FuXiangping Zhang
    • Suojiang ZhangJian SunWeiguo ChengJinquan WangJianxin ZhangZengzeng FuXiangping Zhang
    • C07C29/09
    • C07C29/106C07C29/12Y02P20/52C07C31/202
    • Disclosed is a process for producing ethylene glycol catalyzed by an ionic liquid, characterized in that the process includes the following three steps: (a) a carbonylation step of ethylene oxide and CO2 catalyzed by an ionic liquid composite catalyst comprising a hydroxyl functionalized ionic liquid and an alkali metal salt under an aqueous condition to produce ethylene carbonate and ethylene glycol; (b) a hydrolysis step of reacting the reaction solution containing ethylene carbonate and the ionic liquid composite catalyst obtained in step (a) with water to produce ethylene glycol; (c) a purification step of dehydrating and refining ethylene glycol from the aqueous solution containing ethylene glycol and the catalyst produced in step (b). The present process has the following advantages: the catalyst has high activity, high suitability, and good stability, the reaction condition is wild, the conversion of ethylene oxide is high, the selectivity of ethylene glycol is high, and the process is simple.
    • 公开了一种由离子液体催化的生产乙二醇的方法,其特征在于该方法包括以下三个步骤:(a)由包含羟基官能化的离子液体的离子液体复合催化剂催化的环氧乙烷和CO 2的羰基化步骤,和 在水溶液条件下制备碱金属盐以制备碳酸亚乙酯和乙二醇; (b)使含有碳酸亚乙酯的反应溶液和步骤(a)中得到的离子液体复合催化剂与水反应以产生乙二醇的水解步骤; (c)从含有乙二醇的水溶液和步骤(b)中制备的催化剂中脱水和精制乙二醇的纯化步骤。 本方法具有以下优点:催化剂活性高,适用性好,稳定性好,反应条件野生,环氧乙烷转化率高,乙二醇选择性高,工艺简单。
    • 52. 发明授权
    • Textual attribute-based image categorization and search
    • 基于文本属性的图像分类和搜索
    • US08503767B2
    • 2013-08-06
    • US12560658
    • 2009-09-16
    • Jian SunLitian TaoLu Yuan
    • Jian SunLitian TaoLu Yuan
    • G06K9/62
    • G06F3/0482G06K9/468
    • Techniques and systems for providing textual attribute-based image categorization and search are disclosed herein. In some aspects, images may be analyzed to identify a category of an image, or portion thereof. Additional textual attributes may be identified and associated with the image. In various aspects, the categories may be types of sky sceneries. Categorized images may be searched based on the categories and/or attributes. In further aspects, a user interface may provide an intuitive arrangement of the images for user navigation and selection. The user interface may also provide a simplified presentation and search of the categorized images. Images selected from user interface may be used to replace or modify features of an existing target image.
    • 本文公开了用于提供基于文本属性的图像分类和搜索的技术和系统。 在一些方面,可以分析图像以识别图像的类别或其部分。 可以识别附加的文本属性并与图像相关联。 在各个方面,这些类别可能是天空的风格。 可以基于类别和/或属性来搜索分类图像。 在另外的方面,用户界面可以提供用于用户导航和选择的图像的直观排列。 用户界面还可以提供对分类图像的简化呈现和搜索。 从用户界面中选择的图像可用于替换或修改现有目标图像的特征。
    • 53. 发明授权
    • Scalable face image retrieval
    • 可扩展的面部图像检索
    • US08498455B2
    • 2013-07-30
    • US12792750
    • 2010-06-03
    • Qifa KeYi LiHeung-Yeung ShumJian SunZhong Wu
    • Qifa KeYi LiHeung-Yeung ShumJian SunZhong Wu
    • G06K9/00
    • G06K9/4676G06K9/00281
    • A system for identifying individuals in digital images and for providing matching digital images is provided. A set of images that include faces of known individuals is received. Faces are detected in the images and facial components are identified in each face. Visual words corresponding to the facial components are generated, stored, and associated with identifiers of the individuals. At a later time, a user may provide an image that includes the face of one of the known individuals. Visual words are determined from the face of the individual in the provided image and matched against the stored visual words. Images associated with matching visual words are ranked and presented to the user.
    • 提供了一种用于识别数字图像中的个体并提供匹配的数字图像的系统。 接收包括已知个人面孔的一组图像。 在图像中检测到面部,并且在每个面部中识别面部组件。 对应于面部组件的视觉词被生成,存储并与个人的标识符相关联。 在稍后的时间,用户可以提供包括已知个体之一的脸部的图像。 视觉词是从提供的图像中的个体的脸部确定的,并且与存储的视觉词匹配。 与匹配的视觉词相关联的图像被排序并呈现给用户。
    • 57. 发明申请
    • SCALABLE FACE IMAGE RETRIEVAL
    • 可扩展的脸部图像检索
    • US20110299743A1
    • 2011-12-08
    • US12792750
    • 2010-06-03
    • Qifa KeYi LiHeung-Yeung ShumJian SunZhong Wu
    • Qifa KeYi LiHeung-Yeung ShumJian SunZhong Wu
    • G06T7/00
    • G06K9/4676G06K9/00281
    • A system for identifying individuals in digital images and for providing matching digital images is provided. A set of images that include faces of known individuals is received. Faces are detected in the images and facial components are identified in each face. Visual words corresponding to the facial components are generated, stored, and associated with identifiers of the individuals. At a later time, a user may provide an image that includes the face of one of the known individuals. Visual words are determined from the face of the individual in the provided image and matched against the stored visual words. Images associated with matching visual words are ranked and presented to the user.
    • 提供了一种用于识别数字图像中的个体并提供匹配的数字图像的系统。 接收包括已知个人面孔的一组图像。 在图像中检测到面部,并且在每个面部中识别面部组件。 对应于面部组件的视觉词被生成,存储并与个人的标识符相关联。 在稍后的时间,用户可以提供包括已知个体之一的脸部的图像。 视觉词是从提供的图像中的个体的脸部确定的,并且与存储的视觉词匹配。 与匹配视觉词相关联的图像被排序并呈现给用户。
    • 60. 发明申请
    • TEXTUAL ATTRIBUTE-BASED IMAGE CATEGORIZATION AND SEARCH
    • 基于文本属性的图像分类和搜索
    • US20110064301A1
    • 2011-03-17
    • US12560658
    • 2009-09-16
    • Jian SunLitian TaoLu Yuan
    • Jian SunLitian TaoLu Yuan
    • G06K9/62
    • G06F3/0482G06K9/468
    • Techniques and systems for providing textual attribute-based image categorization and search are disclosed herein. In some aspects, images may be analyzed to identify a category of an image, or portion thereof. Additional textual attributes may be identified and associated with the image. In various aspects, the categories may be types of sky sceneries. Categorized images may be searched based on the categories and/or attributes. In further aspects, a user interface may provide an intuitive arrangement of the images for user navigation and selection. The user interface may also provide a simplified presentation and search of the categorized images. Images selected from user interface may be used to replace or modify features of an existing target image.
    • 本文公开了用于提供基于文本属性的图像分类和搜索的技术和系统。 在一些方面,可以分析图像以识别图像的类别或其部分。 可以识别附加的文本属性并与图像相关联。 在各个方面,这些类别可能是天空的风格。 可以基于类别和/或属性来搜索分类图像。 在另外的方面,用户界面可以提供用于用户导航和选择的图像的直观排列。 用户界面还可以提供对分类图像的简化呈现和搜索。 从用户界面中选择的图像可用于替换或修改现有目标图像的特征。