公开(公告)号：US08996545B2

公开(公告)日：2015-03-31

申请号：US13675871

申请日：2012-11-13

Applicant: Yingyu Chen ,  Bin Dong ,  Yongyuan Shen

Inventor： Yingyu Chen ,  Bin Dong ,  Yongyuan Shen

IPC: G06F17/30

CPC classification number: G06F17/30 ,  G06F17/30241

Abstract: The embodiments provide an in-memory database system having an extraction module configured to extract data (e.g., business data and address data) from one or more external data sources and transform the data into a standard format, a geocoder configured to geocode the address data including obtaining spatial data based on the address data using an internal reference table, and an internal database configured to store the internal reference table, the business data, the address data, and the spatial data.

Abstract translation: 实施例提供了一种内存数据库系统，其具有提取模块，该提取模块被配置为从一个或多个外部数据源提取数据（例如业务数据和地址数据），并将数据转换成标准格式，被配置为对地址数据进行地理编码 包括使用内部参考表基于地址数据获得​​空间数据，以及配置为存储内部参考表，业务数据，地址数据和空间数据的内部数据库。

公开(公告)号：US20150074066A1

公开(公告)日：2015-03-12

申请号：US14033203

申请日：2013-09-20

Applicant: Wen-Syan Li ,  Bin Dong ,  Zheng Long Wei ,  Yingyu Chen ,  Yongyuan Shen

Inventor： Wen-Syan Li ,  Bin Dong ,  Zheng Long Wei ,  Yingyu Chen ,  Yongyuan Shen

IPC: G06F17/30 ,  G06F12/02

CPC classification number: G06F17/30315

Abstract: A computer system includes at least one processor and at least one memory operably coupled to the at least one processor. The memory includes a memory pool and a database partitioned into multiple fragments. Each of the fragments is allocated a block of memory from the memory pool and the fragments store compressed data in a columnar table format. A database operation is applied in a compressed format to the compressed data in at least one of the fragments.

Abstract translation: 计算机系统包括至少一个处理器和可操作地耦合到至少一个处理器的至少一个存储器。 内存包括内存池和分割成多个片段的数据库。 每个片段从内存池中分配一个内存块，并且片段以柱状表格式存储压缩数据。 数据库操作以压缩格式应用于至少一个片段中的压缩数据。

公开(公告)号：US08099518B2

公开(公告)日：2012-01-17

申请号：US11563857

申请日：2006-11-28

Applicant: Bin Dong ,  Xu Guang Gu ,  Tie Li ,  Yue Ma

Inventor： Bin Dong ,  Xu Guang Gu ,  Tie Li ,  Yue Ma

IPC: G06F15/16

CPC classification number: G06F17/30902 ,  G06F17/3089 ,  H04L67/02 ,  H04L67/1095

Abstract: The present invention provides a method and system for implementing asynchronous portal pages, comprising a portlet monitor resident on a web browser and implemented with a script. When a user interacts with a portlet, the portlet monitor sends a XMLHTTP request to the portal server. The portal server obtains the corresponding web contents from the corresponding portlet based on the request. Then, the web contents are modified and the HTTP requests therein are redirected to XMLHTTP requests. The portlet monitor uses the modified web contents to refresh the web contents of the corresponding portlet in the portal page without reloading the whole portal page. Besides, after the user submits a request for a portlet, during waiting for the portlet being refreshed, the user may continue to interact with other portlets. Thus, the present invention has the abilities of partially refreshing and asynchronous communication.

Abstract translation: 本发明提供了一种用于实现异步门户页面的方法和系统，包括驻留在web浏览器上并由脚本实现的Portlet监视器。 当用户与portlet进行交互时，portlet监视器向门户服务器发送XMLHTTP请求。 Portal服务器根据请求从相应的Portlet获取相应的Web内容。 然后，修改Web内容，并将其中的HTTP请求重定向到XMLHTTP请求。 portlet监视器使用修改的Web内容来刷新门户页面中相应Portlet的Web内容，而不重新加载整个门户页面。 此外，在用户提交对portlet的请求之后，在等待刷新的Portlet期间，用户可以继续与其他portlet进行交互。 因此，本发明具有部分刷新和异步通信的能力。

公开(公告)号：US20110064286A1

公开(公告)日：2011-03-17

申请号：US12854860

申请日：2010-08-11

Applicant: Aichi Chien ,  Bin Dong ,  Yu Mao ,  Stanley J. Osher

Inventor： Aichi Chien ,  Bin Dong ,  Yu Mao ,  Stanley J. Osher

IPC: G06K9/00

CPC classification number: G06T7/60 ,  G06K9/6207 ,  G06K2209/051 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/10136 ,  G06T2207/20101 ,  G06T2207/20161 ,  G06T2207/30004

Abstract: A method and apparatus for volumetric image analysis and processing is described. Using the method and apparatus, it is possible to obtain geometrical information from multi-dimensional (3D or more) images. As long as an object can be reconstructed as a 3D object, regardless of the source of the images, the method and apparatus can be used to segment the target (in 3D) from the rest of the structure and to obtain the target's geometric information, such as volume and curvature.

Abstract translation: 描述了用于体积图像分析和处理的方法和装置。 使用该方法和装置，可以从多维（3D或更多）图像获得几何信息。 只要可以将对象重建为3D对象，无论图像的来源如何，该方法和装置都可用于从目标（3D）与其余结构分割目标的几何信息， 例如体积和曲率。

公开(公告)号：US20110007981A1

公开(公告)日：2011-01-13

申请号：US12729147

申请日：2010-03-22

Applicant: Stanley Osher ,  Bin Dong ,  Barry Lynn Merriman

Inventor： Stanley Osher ,  Bin Dong ,  Barry Lynn Merriman

IPC: G06K9/40

CPC classification number: G01N15/14 ,  G06T5/002 ,  G06T5/003 ,  G06T5/20 ,  G06T2207/10056 ,  G06T2207/30024

Abstract: This invention relates to a method and apparatus for image processing, and more particularly, this invention relates to a method and apparatus for processing image data generated by bioanalytical devices, such as DNA sequencers. An object of the present invention is to remove artifacts such as noise, blur, background, non-uniform illumination, lack of registration, and extract pixel signals back to DNA-beads in a way that de-mixes pixels that contain contributions from nearby beads. In one aspect of the present invention, a system for optimizing an image comprises means for receiving an initial image which includes a plurality of microparticles with different intensities; a computing device, comprising a processor executing instructions to perform: generating an initial function denoting each microparticle's location and intensity in the initial image; determining an image processing operator adapted to determine an extent of point spread and blurriness in the initial image; computing an optimum function denoting each microparticle's location and intensity in an optimizing image; and producing the optimizing image with enhanced accuracy and density of the microparticles.

Abstract translation: 本发明涉及一种用于图像处理的方法和装置，更具体地说，本发明涉及一种用于处理由诸如DNA定序器的生物分析装置生成的图像数据的方法和装置。 本发明的一个目的是去除诸如噪声，模糊，背景，不均匀的照明，缺乏配准的伪影，并且以像素包含附近珠粒的像素的方式将像素信号提取回DNA珠子 。 在本发明的一个方面，一种用于优化图像的系统包括用于接收包括具有不同强度的多个微粒的初始图像的装置; 计算设备，包括执行执行指令的处理器：产生表示初始图像中的每个微粒的位置和强度的初始函数; 确定适于确定初始图像中的点扩展和模糊程度的图像处理算子; 计算优化图像中表示每个微粒的位置和强度的最佳函数; 并且以提高的微粒的精度和密度生产优化图像。

公开(公告)号：US20240220523A1

公开(公告)日：2024-07-04

申请号：US18390496

申请日：2023-12-20

Applicant: Rui CHENG ,  Bin DONG ,  Shanshan JIANG ,  Lu LUO ,  Lei DING

Inventor： Rui CHENG ,  Bin DONG ,  Shanshan JIANG ,  Lu LUO ,  Lei DING

IPC: G06F16/33 ,  G06N3/045

CPC classification number: G06F16/3347 ,  G06N3/045

Abstract: Disclosed are a semantic matching and retrieval method and apparatus. The semantic matching and retrieval method includes steps of obtaining both the vector representation of a query text and the vector representation of a document text; obtaining the final vector representation of the query text; obtaining the final vector representation of the document text; calculating, based on the final vector representation of the query text and the final vector representation of the document text, the similarity score between the query text and the document text; and selecting, based on the similarity scores between the query text and a plurality of document texts, a document text matching the query text from the plurality of document texts.

公开(公告)号：US20230376779A1

公开(公告)日：2023-11-23

申请号：US18316744

申请日：2023-05-12

Applicant: Hongyu LI ,  Bin DONG ,  Shanshan JIANG ,  Lei DING

Inventor： Hongyu LI ,  Bin DONG ,  Shanshan JIANG ,  Lei DING

IPC: G06N3/09 ,  G06F40/30 ,  G06F40/166 ,  G06F40/40

CPC classification number: G06N3/09 ,  G06F40/30 ,  G06F40/166 ,  G06F40/40

Abstract: A method and an apparatus for training a machine reading comprehension model, and a non-transitory computer-readable recording medium are provided. A training process is repeatedly performed using a training sample set to obtain a machine reading comprehension model. The training process includes inputting a sample article and a sample question into the machine reading comprehension model, generating a first predicted answer, and calculating a first loss between the first predicted answer and a sample answer; replacing the sample question with a mask to obtain a mask question, inputting the sample article and the mask question into the machine reading comprehension model, generating a second predicted answer corresponding to the mask question, and calculating a second loss between the second predicted answer and the sample answer; and updating the machine reading comprehension model so as to minimize a total loss.

公开(公告)号：US20230073746A1

公开(公告)日：2023-03-09

申请号：US17821227

申请日：2022-08-22

Applicant: Tianxiong XIAO ,  Rui CHENG ,  Bin DONG ,  Shanshan JIANG ,  Jiashi ZHANG

Inventor： Tianxiong XIAO ,  Rui CHENG ,  Bin DONG ,  Shanshan JIANG ,  Jiashi ZHANG

IPC: G06F40/47 ,  G06F40/30 ,  G06F40/205

Abstract: A method and an apparatus for machine reading comprehension, and a non-transitory computer-readable recording medium are provided. In the method, a paragraph-question pair is obtained, and subword vectors corresponding to subwords in the paragraph-question pair are generated. Then, for each subword, relative positions of the subword with respect to the other subwords are determined based on distances, and self-attention information of the subword in a first part and mutual attention information of the subword in a second part are calculated by using the relative positions and the subword vector. Then, a fusion vector of the subword is generated based on the self-attention information and the mutual attention information. Then, the fusion vectors of the subwords are input to a decoder of a machine reading comprehension model so as to obtain an answer predicted by the decoder.

公开(公告)号：US11468233B2

公开(公告)日：2022-10-11

申请号：US16750182

申请日：2020-01-23

Applicant: Liang Liang ,  Lei Ding ,  Bin Dong ,  Shanshan Jiang ,  Yixuan Tong

Inventor： Liang Liang ,  Lei Ding ,  Bin Dong ,  Shanshan Jiang ,  Yixuan Tong

IPC: G06F40/216 ,  G06F40/30 ,  G06F16/242 ,  G06F40/56 ,  G06F40/211

Abstract: An intention identification method includes generating a heterogeneous text network based on a language material sample; using a graph embedding algorithm to perform learning with respect to the heterogeneous text network and obtain a vector representation of the language material sample and a word, and determining keywords of the language material sample based on a similarity in terms of a vector between the language material sample and the word in the language material sample; training an intention identification model until a predetermined training termination condition is satisfied, by using the keywords of the language material samples, and obtaining the trained intention identification model; and receiving a language material query, and using the trained intention identification model to identify an intention of the language material query.

公开(公告)号：US11182569B2

公开(公告)日：2021-11-23

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

IPC: G06F40/58 ,  G06N3/04 ,  G06F40/30 ,  G06N3/08

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.