-
公开(公告)号：US08318903B2
公开(公告)日：2012-11-27
申请号：US12571043
申请日：2009-09-30
Applicant: Bin Dong , Olivier Arnoult , Gary Wnek , Lingui Meng
Inventor： Bin Dong , Olivier Arnoult , Gary Wnek , Lingui Meng
Abstract: A benign solvent for dissolving proteins comprises alcohol, salt and water. The ratio by volume of water to alcohol is between about ninety-nine-to-one and about one-to-ninety-nine. A salt concentration is between near zero moles per liter and the maximum salt concentration soluble in water. The amount of protein by weight as compared to the mixture of water and alcohol is between near zero percent and about 25 percent. A method for forming a protein structure from a benign solvent comprises forming a benign solvent from water, alcohol, and salt; and dissolving a protein in the benign solvent to form a protein solution. The method further comprises extracting the protein from the protein solution; and arranging the protein into a protein structure.
Abstract translation: 用于溶解蛋白质的良性溶剂包括酒精，盐和水。 水与酒精的体积比为约九十九比一至约九十九分之一。 盐浓度在接近零摩尔/升和最大盐浓度溶于水。 与水和醇的混合物相比，重量比的蛋白质的量在接近零％和约25％之间。 从良性溶剂形成蛋白质结构的方法包括从水，醇和盐形成良溶剂; 并将蛋白质溶解在良溶剂中以形成蛋白质溶液。 该方法还包括从蛋白质溶液中提取蛋白质; 并将蛋白质排列成蛋白质结构。
-
公开(公告)号：US20120239609A1
公开(公告)日：2012-09-20
申请号：US13047573
申请日：2011-03-14
Applicant: Jie Zhao , Bin Dong , Yingyu Chen , Xin Xu
Inventor： Jie Zhao , Bin Dong , Yingyu Chen , Xin Xu
IPC: G06F17/30
CPC classification number: G06F17/30292 , G06Q10/0637
Abstract: In one embodiment the present invention includes a computer implemented method of relating data and generating reports. The method includes storing, by an OLAP system, a network data structure that relates a plurality of data objects. The method further includes storing transactional data in an in-memory database in the OLAP system. The method further includes generating, by the OLAP system, a report using the stored transactional data according to the network data structure. In this manner, deficiencies of the traditional star schema paradigm of data warehousing may be avoided.
Abstract translation: 在一个实施例中，本发明包括一种将数据和生成报告相关联的计算机实现的方法。 该方法包括通过OLAP系统存储涉及多个数据对象的网络数据结构。 该方法还包括将事务数据存储在OLAP系统中的存储器内数据库中。 该方法还包括根据网络数据结构，通过OLAP系统生成使用存储的事务数据的报告。 以这种方式，可以避免数据仓库的传统星型模式范例的缺陷。
-
公开(公告)号：US20100228011A1
公开(公告)日：2010-09-09
申请号：US12571043
申请日：2009-09-30
Applicant: Bin Dong , Olivier Arnoult , Gary Wnek , Lingui Meng
Inventor： Bin Dong , Olivier Arnoult , Gary Wnek , Lingui Meng
Abstract: A benign solvent for dissolving proteins comprises alcohol, salt and water. The ratio by volume of water to alcohol is between about ninety-nine-to-one and about one-to-ninety-nine. A salt concentration is between near zero moles per liter and the maximum salt concentration soluble in water. The amount of protein by weight as compared to the mixture of water and alcohol is between near zero percent and about 25 percent. A method for forming a protein structure from a benign solvent comprises forming a benign solvent from water, alcohol, and salt; and dissolving a protein in the benign solvent to form a protein solution. The method further comprises extracting the protein from the protein solution; and arranging the protein into a protein structure.
Abstract translation: 用于溶解蛋白质的良性溶剂包括酒精，盐和水。 水与酒精的体积比为约九十九比一至约九十九分之一。 盐浓度在接近零摩尔/升和最大盐浓度溶于水。 与水和醇的混合物相比，重量比的蛋白质的量在接近零％和约25％之间。 从良性溶剂形成蛋白质结构的方法包括从水，醇和盐形成良溶剂; 并将蛋白质溶解在良溶剂中以形成蛋白质溶液。 该方法还包括从蛋白质溶液中提取蛋白质; 并将蛋白质排列成蛋白质结构。
-
公开(公告)号：US20230290130A1
公开(公告)日：2023-09-14
申请号：US18165459
申请日：2023-02-07
Applicant: Lei DING , Bin Dong , Shanshan Jiang , Jiashi Zhang , Yongwei Zhang
Inventor： Lei DING , Bin Dong , Shanshan Jiang , Jiashi Zhang , Yongwei Zhang
IPC: G06V10/80 , G06V30/414 , G06V30/413 , G06V10/82 , G06V10/77 , G06V30/18
CPC classification number: G06V10/806 , G06V30/414 , G06V30/413 , G06V10/82 , G06V10/7715 , G06V30/18162
Abstract: Disclosed are a table recognition method and apparatus. The table recognition method includes steps of obtaining an image vision feature and a character content feature of a table image; fusing the image vision feature and the character content feature of the table image to acquire a first fusion feature, and carrying out recognition based on the first fusion feature to acquire a table structure; and performing, based on the table structure, character recognition on the table image to acquire table character contents.
-
公开(公告)号：US10909319B2
公开(公告)日：2021-02-02
申请号：US16242365
申请日：2019-01-08
Applicant: Lei Ding , Yixuan Tong , Bin Dong , Shanshan Jiang , Yongwei Zhang
Inventor： Lei Ding , Yixuan Tong , Bin Dong , Shanshan Jiang , Yongwei Zhang
Abstract: A method, an apparatus and an electronic device for performing entity linking, and a non-transitory computer-readable recording medium are provided. The method includes constructing training data including a plurality of sets of labeled data using an existing unambiguous entity database where unambiguous entities corresponding to respective entity words are stored, each set of the labeled data including a text having an entity word and an unambiguous entity linked with the entity word; training an unambiguous entity recognition model whose output is a matching probability between an entity word in a text and an unambiguous entity using the training data; and inputting a text having an entity word to be recognized into the unambiguous entity recognition model, and determining an unambiguous entity linked with the entity word to be recognized based on an output result of the unambiguous entity recognition model.
-
Patent Agency Ranking
公开(公告)号：US20200311353A1
公开(公告)日：2020-10-01
申请号：US16809844
申请日：2020-03-05
Applicant: Yihan LI , Boyan LIU , Shanshan JIANG , Yixuan TONG , Bin DONG
Inventor： Yihan LI , Boyan LIU , Shanshan JIANG , Yixuan TONG , Bin DONG
Abstract: A method and an apparatus for processing word vectors of a neural machine translation model, and a non-transitory computer-readable recording medium are provided. In the method, word vectors that are input to an encoder and a decoder of a neural machine translation model are updated using semantic information among head representations at the same time and semantic information among head representations at different times, and the model is trained or translation is performed using the updated word vectors, thereby improving the model performance of the neural machine translation model.
-
17.发明申请公开(公告)号：US20190198014A1
公开(公告)日：2019-06-27
申请号：US16218693
申请日：2018-12-13
Applicant: Yihan LI , Yixuan TONG , Shanshan JIANG , Bin DONG
Inventor： Yihan LI , Yixuan TONG , Shanshan JIANG , Bin DONG
CPC classification number: G10L15/1815 , G06F16/3347 , G10L15/063 , G10L15/14
Abstract: A method and an apparatus for ranking responses of a dialog model, and a non-transitory computer-readable recording medium are provided. The dialog model is trained based on a sample data set. The method includes obtaining, from the sample data set, at least one similar dialog whose content is semantically similar to content of a target dialog; obtaining a probability of at least one target response generated by the dialog model when inputting the target dialog, and obtaining a probability of a target response generated by the dialog model when inputting the similar dialog; statistically analyzing, based on the probabilities of the respective generated target responses, scores of the target responses, the scores of the target responses being positively correlated with the probabilities of the target responses; and ranking the target responses in a descending order of the scores.
-
公开(公告)号：US10282420B2
公开(公告)日：2019-05-07
申请号：US15597501
申请日：2017-05-17
Applicant: Shanshan Jiang , Bin Dong , Jichuan Zheng , Jiashi Zhang , Yixuan Tong
Inventor： Shanshan Jiang , Bin Dong , Jichuan Zheng , Jiashi Zhang , Yixuan Tong
Abstract: A method, an apparatus and a system for recognizing an evaluation element are provided. The method includes receiving an input text; performing, using a first conditional random field model, first recognition for the input text to obtain a first recognition result, the first recognition result including a pre-evaluation element that is recognized by using the first conditional random field model; performing, using a second conditional random field model, second recognition for the input text to obtain a second recognition result, the second recognition result including a false positive evaluation element that is recognized by using the second conditional random field model, the false positive evaluation element being an element erroneously detected as an evaluation element; and recognizing, based on the first recognition result and the second recognition result, an evaluation element in the input text.
-
公开(公告)号：US20180341863A1
公开(公告)日：2018-11-29
申请号：US15919355
申请日：2018-03-13
Applicant: Lei Ding , Yixuan Tong , Bin Dong , Shanshan Jiang , Yongwei Zhang
Inventor： Lei Ding , Yixuan Tong , Bin Dong , Shanshan Jiang , Yongwei Zhang
Abstract: Knowledge graph processing method and device are disclosed. The method includes steps of obtaining an entity set containing a first entity, a second entity, and relation information; acquiring text information and image information related to the first entity and the second entity; generating a first structural information vector of the first entity and a second structural information vector of the second entity, and creating a first text information vector of the first entity, a first image information vector of the first entity, a second text information vector of the second entity, and a second image information vector of the second entity; and building a joint loss function so as to attain a first target vector of the first entity, a second target vector of the second entity, and a target relation vector of the relation information between the first entity and the second entity.
-
20.发明授权公开(公告)号：US09638031B2
公开(公告)日：2017-05-02
申请号：US14351573
申请日：2011-11-04
Applicant: Zhilin Li , Bin Dong , Haifang Sun , Liexiang Han , Runde Xiao , Bo Yang , Gui Tang , Qiulai Xue , Qiang Wei , Guojun Tang , Xing Zuo
Inventor： Zhilin Li , Bin Dong , Haifang Sun , Liexiang Han , Runde Xiao , Bo Yang , Gui Tang , Qiulai Xue , Qiang Wei , Guojun Tang , Xing Zuo
CPC classification number: E21B49/00 , E21B21/08 , E21B41/0092 , E21B47/1025
Abstract: A method for controlling well bore pressure based on model prediction control theory and systems theory, includes: detecting a well bottom pressure, a stand pipe pressure, a casing pressure, an injection flow rate and an outlet flow rate during the drilling operation process and determining the presence of overflow or leakage; if there is no overflow or leakage, then fine-adjusting the wellhead casing pressure according to the slight fluctuations of the well bottom pressure, the stand pipe pressure or the casing pressure; if there is overflow or leakage, simulating and calculating the overflow or leakage position and starting time of the overflow or leakage, predicting the variation over a future time period of the well bore pressure in the well drilling process, and utilizing an optimization algorithm to calculate the control parameter under a minimum of an actual well bottom pressure difference during the future period.
-
-
-
-
-
-
-
-
-
Search Results
57
records
(took 0.032 seconds)
