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公开(公告)号：US10127254B2
公开(公告)日：2018-11-13
申请号：US14869493
申请日：2015-09-29
Applicant: International Business Machines Corporation
Inventor： Hao Chen , Feng Li , Shao C. Li , Qi Cheng Li , Li Jun Mei , Fang Quan Xie
IPC: G06F17/30
Abstract: In one embodiment, a method for indexing a document database includes determining, according to user's access status on a plurality of documents in the document database, index indicators from attributes of respective fields of the plurality of documents, wherein the index indicators are used for indexing the plurality of documents, dividing the plurality of documents into a plurality of document sets, indexing the plurality of document sets according to the index indicators. The method may include dividing a plurality of documents in a document database into document sets by utilizing an attribute that a document database is easy to be divided into chunks, and may effectively implement indexing of the document database for the document sets according to another embodiment.
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公开(公告)号：US10074180B2
公开(公告)日：2018-09-11
申请号：US14627435
申请日：2015-02-20
Applicant: International Business Machines Corporation
Inventor： Qi Cheng Li , Li Jun Mei , Jian Wang , Fang Quan Xie , Shi Wan Zhao
CPC classification number: G06T7/73 , G06K9/4671 , G06K9/52
Abstract: A method photo-based positioning includes obtaining a positioning photo taken by a mobile device within a predetermined space; comparing multiple feature elements exacted from sampling photos taken within the predetermined space in advance with the positioning photo to determine each feature element existing in the positioning photo; obtaining a first position coordinate of each feature element which is determined to exist in the positioning photo in a sampling photo corresponding to the positioning photo, and a second position coordinate of each feature element which is determined to exist in the positioning photo in the positioning photo; and calculating position parameters of the mobile device by using each of the obtained first position coordinate and second position coordinate, wherein the least number of feature elements existing in the positioning photo is determined according to the number of the position parameters.
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公开(公告)号：US09835930B2
公开(公告)日：2017-12-05
申请号：US14894783
申请日：2014-04-11
Applicant: International Business Machines Corporation
Inventor： Guo Qiang Hu , Qi Cheng Li , Yi Min Wang , Fang Quan Xie , Bo Yang , Zi Yu Zhu
IPC: G09G5/00 , G02F1/29 , G02F1/133 , G06F3/01 , G06F3/0482 , G06F3/0484 , G09G3/36
CPC classification number: G02F1/29 , G02F1/13306 , G02F2001/294 , G06F3/012 , G06F3/013 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G09G3/36 , G09G2320/08 , G09G2354/00
Abstract: An auto focus device comprises a focus panel and a focus controller. The focus panel comprises liquid crystal between a first light-transmissive conductive film and a second light-transmissive conductive film, and the focus controller is configured to apply a voltage between the two light-transmissive conductive films at the position of at least one pixel, so that the liquid crystal at the position will have an expected focal length. An auto focus method comprises: acquiring information on eyesight status of a user; acquiring information on posture of the user; calculating expected focal length of the liquid crystal between the two light-transmissive conductive films at the position of at least one pixel according to the acquired user information; selecting a voltage to be applied between the two light-transmissive conductive films at the position according to the expected focal length; and applying the voltage between the two light-transmissive conductive films at the position.
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公开(公告)号：US20160109781A1
公开(公告)日：2016-04-21
申请号：US14894783
申请日：2014-04-11
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Guo Qiang Hu , Qi Cheng Li , Yi Min Wang , Fang Quan Xie , Bo Yang , Zi Yu Zhu
IPC: G02F1/29 , G06F3/0482 , G06F3/0484 , G09G3/36 , G06F3/01
CPC classification number: G02F1/29 , G02F1/13306 , G02F2001/294 , G06F3/012 , G06F3/013 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G09G3/36 , G09G2320/08 , G09G2354/00
Abstract: An auto focus device comprises a focus panel and a focus controller. The focus panel comprises liquid crystal between a first light-transmissive conductive film and a second light-transmissive conductive film, and the focus controller is configured to apply a voltage between the two light-transmissive conductive films at the position of at least one pixel, so that the liquid crystal at the position will have an expected focal length. An auto focus method comprises: acquiring information on eyesight status of a user; acquiring information on posture of the user; calculating expected focal length of the liquid crystal between the two light-transmissive conductive films at the position of at least one pixel according to the acquired user information; selecting a voltage to be applied between the two light-transmissive conductive films at the position according to the expected focal length; and applying the voltage between the two light-transmissive conductive films at the position.
Abstract translation: 自动聚焦装置包括聚焦面板和聚焦控制器。 焦点面板包括在第一透光导电膜和第二透光导电膜之间的液晶，并且焦点控制器被配置为在至少一个像素的位置处在两个透光导电膜之间施加电压， 使得位置处的液晶将具有预期的焦距。 自动聚焦方法包括：获取用户的视力状态的信息; 获取关于用户姿势的信息; 根据获取的用户信息计算在至少一个像素的位置处的两个透光导电膜之间的液晶的预期焦距; 根据预期焦距选择在该位置处的两个透光导电膜之间施加的电压; 以及在该位置处在两个透光导电膜之间施加电压。
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公开(公告)号：US11613008B2
公开(公告)日：2023-03-28
申请号：US16246728
申请日：2019-01-14
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Xue Han , Ya Bin Dang , Li Jun Mei , Qi Cheng Li , Lian Xue Hu
IPC: B25J9/16 , B25J13/06 , G06F40/279
Abstract: A system for automating a process using robotic process automation code includes a memory device for storing program code, and at least one processor device operatively coupled to the memory device. The at least one processor device is configured to execute program code stored on the memory device to process, based on a contextual dictionary, a process description document associated with a process to be automated by a robotic process automation system, automatically generate robotic process automation code based on the processing, and execute the robotic process automation code for automating the process.
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Patent Agency Ranking
公开(公告)号：US20230004823A1
公开(公告)日：2023-01-05
申请号：US17363249
申请日：2021-06-30
Applicant: International Business Machines Corporation
Inventor： Lijun Mei , Qi Cheng Li , Xue Han , Xin Zhou , Zi Ming Huang , Ya Bin Dang
IPC: G06N5/02 , G06F40/30 , G06F16/9032 , G06N20/00
Abstract: New question and answer (QA) pairs can be automatically discovered from a corpus of data such as online chats and conversations. Newly discovered QA pairs can augment QA database, which can be used by a computer processor or device, e.g., by a chatbot, an automated machine, and/or another. Existing QA knowledge can be used to learn the structures of QA knowledge distribution in conversations, and new QA knowledge can be automatically learned through the structure of learned QA knowledge distribution in conversations. The structure of learned QA knowledge distribution can be refined by adding more semantics based on labeled data.
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公开(公告)号：US11500973B2
公开(公告)日：2022-11-15
申请号：US16547981
申请日：2019-08-22
Applicant: International Business Machines Corporation
Inventor： Hao Chen , Ya Bin Dang , Qi Cheng Li , Shao Chun Li , Jie Ma , Lijun Mei , Jian Wang , Yipeng Yu , Xin Zhou
Abstract: A computer-implemented authentication method, the method comprising: matching a brain pattern sequence with a predetermined password to allow access to a system, wherein the brain pattern sequence is calculated by analyzing a signal slope of a slope threshold of the brain activity to determine a timing and a duration of the brain activity.
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公开(公告)号：US20220101115A1
公开(公告)日：2022-03-31
申请号：US17034284
申请日：2020-09-28
Applicant: International Business Machines Corporation
Inventor： Xin Zhou , Qi Cheng Li , Lijun Mei , Chuang Gan , Hao Chen
IPC: G06N3/08 , G06F11/07 , G06K9/62 , G06F40/295 , G06F40/205
Abstract: Embodiments of the invention are directed to computer-implemented methods of labeling unlabeled electronic information. In a non-limiting embodiment of the invention, the computer-implemented method includes receiving, using a processor system, an unlabeled error log (EL) having an EL format. A set of unlabeled EL keywords are extracted from the unlabeled EL. For each unlabeled EL keyword, the processor system uses the unlabeled EL keyword to extract an electronic document (ED) sentence from an ED based on a determination that the ED sentence is relevant to the unlabeled EL keyword. One or more ED keywords are extracted from the ED sentence. A deep neural network of the processor system is used to predict an ED sentence label for the ED sentence, an ED keyword label for the ED keyword, and an EL keyword label for the unlabeled EL keyword.
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公开(公告)号：US20220067505A1
公开(公告)日：2022-03-03
申请号：US17005144
申请日：2020-08-27
Inventor： Ao Liu , Sijia Liu , Bo Wu , Lirong Xia , Qi Cheng Li , Chuang Gan
Abstract: Interpretation maps of convolutional neural networks having certifiable robustness using Rényi differential privacy are provided. In one aspect, a method for generating an interpretation map includes: adding generalized Gaussian noise to an image x to obtain T noisy images, wherein the generalized Gaussian noise constitutes perturbations to the image x; providing the T noisy images as input to a convolutional neural network; calculating T noisy interpretations of output from the convolutional neural network corresponding to the T noisy images; re-scaling the T noisy interpretations using a scoring vector ν to obtain T re-scaled noisy interpretations; and generating the interpretation map using the T re-scaled noisy interpretations, wherein the interpretation map is robust against the perturbations.
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公开(公告)号：US11155140B2
公开(公告)日：2021-10-26
申请号：US16742501
申请日：2020-01-14
Applicant: International Business Machines Corporation
Inventor： Hao Chen , Shao Chun Li , Qi Cheng Li , Jie Ma , Li Jun Mei , Jian Wang , Xin Zhou
Abstract: A vehicle occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a vehicle. A context component infers or determines context of an occupant of the vehicle. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors and context component. A comfort controller adjusts environmental conditions of a passenger compartment of the vehicle based at least in part on output of the comfort model component.
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