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公开(公告)号：US20160125004A1
公开(公告)日：2016-05-05
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
CPC classification number: G06F17/30321 , G06F17/30011
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.
Abstract translation: 在一个实施例中，用于索引文档数据库的方法包括根据用户对文档数据库中的多个文档的访问状态来确定来自多个文档中各个字段的属性的索引指示符，其中索引指示符用于索引 所述多个文档将所述多个文档分割成多个文档集合，根据所述索引指标对所述多个文档集进行索引。 该方法可以包括通过利用文档数据库易于划分成块的属性将文档数据库中的多个文档划分成文档集合，并且可以根据另一实施例有效地实现用于文档集的文档数据库的索引。
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公开(公告)号：US20150293802A1
公开(公告)日：2015-10-15
申请号：US14745969
申请日：2015-06-22
Applicant: International Business Machines Corporation
Inventor： Wei Ye Chen , Juhnyoung Lee , Feng Li , Qi Cheng Li , Shao Chun Li , Rong Liu , Li Jun Mei , Wei Sun
IPC: G06F11/07
CPC classification number: G06F11/3612 , G06F11/008 , G06F11/0706 , G06F11/076 , G06F11/0793 , G06F11/34 , G06F11/3452 , G06F11/3466 , G06F17/11 , G06N5/04 , G06N99/005
Abstract: A method for predicting anomalies in a computer application includes during runtime of the computer application, detecting traffic metrics and incident tickets associated with the computer application, the incident ticket indicating an incident might occur in the computer application; calculating a threshold based on absolute values of second order differences associated with the traffic metrics, wherein the threshold is such that when the absolute value of the second order difference associated with the traffic metrics exceeds the threshold, a recall rate Rrecall that the computer application is recalled is maximized; obtaining predicted metrics of the computer application in a next time period based on the traffic metrics; and in response to an absolute value of a second order difference associated with the predicted metrics exceeding the threshold, predicting potential anomalies of the computer application in the next time period.
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43.发明申请MANAGING SOFTWARE PERFORMANCE TESTS BASED ON A DISTRIBUTED VIRTUAL MACHINE SYSTEM 有权基于分布式虚拟机系统管理软件性能测试公开(公告)号：US20140245069A1
公开(公告)日：2014-08-28
申请号：US14190208
申请日：2014-02-26
Applicant: International Business Machines Corporation
Inventor： Guoqiang Hu , Qi Cheng Li , Jian Wang , Yi Min Wang , Bo Yang
IPC: G06F11/36
CPC classification number: G06F11/3664 , G06F9/45558 , G06F11/362 , G06F2009/45591
Abstract: Managing software performance debugging based on a distributed VM system is provided. In response to determining a debugging state of a software system running on a VM, a timing of a system clock of the VM is controlled. A data packet sent to the VM from another VM is intercepted, and an added system time and reference time that indicate when the packet was sent by the other VM is extracted from the packet. Based on the system and reference times, as well as a reference time of when the packet is intercepted, a timing at which the packet is expected to be received by the VM is calculated. The packet is forwarded to the VM as a function of a comparison of the timing at which the packet is expected to be received and a system time of the VM when the packet is intercepted.
Abstract translation: 提供基于分布式VM系统管理软件性能调试。 响应于确定在VM上运行的软件系统的调试状态，VM的系统时钟的定时被控制。 从另一个VM发送到VM的数据分组被截取，并且从分组中提取指示何时由另一个VM发送分组的附加的系统时间和参考时间。 基于系统和参考时间，以及分组何时被截取的参考时间，计算VM预期分组被接收到的定时。 作为将数据包被预期接收到的定时与在分组被拦截时的VM的系统时间的比较的函数，分组被转发到VM。
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公开(公告)号：US11651858B2
公开(公告)日：2023-05-16
申请号：US16056832
申请日：2018-08-07
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Jian Wang , Qi Cheng Li , Ya Bin Dang , Li Jun Mei , Xin Zhou
Abstract: Methods and systems for treating a disease include navigating a symptom-centric decision tree which accounts for probabilities for symptoms and diseases and emergency values for the symptoms and diseases, based on information provided by a user, to determine a disease. A treatment is provided to the user based on the determined disease.
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公开(公告)号：US11574438B2
公开(公告)日：2023-02-07
申请号：US17340865
申请日：2021-06-07
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Hao Chen , Guo Qiang Hu , Qi Cheng Li , Li Jun Mei , Jian Wang , Yi Min Wang , Zi Yu Zhu
Abstract: A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.
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Patent Agency Ranking
公开(公告)号：US11341598B2
公开(公告)日：2022-05-24
申请号：US16894343
申请日：2020-06-05
Inventor： Ao Liu , Sijia Liu , Abhishek Bhandwaldar , Chuang Gan , Lirong Xia , Qi Cheng Li
Abstract: Interpretation maps of deep neural networks are provided that use Renyi differential privacy to guarantee the robustness of the interpretation. In one aspect, a method for generating interpretation maps with guaranteed robustness includes: perturbing an original digital image by adding Gaussian noise to the original digital image to obtain m noisy images; providing the m noisy images as input to a deep neural network; interpreting output from the deep neural network to obtain m noisy interpretations corresponding to the m noisy images; thresholding the m noisy interpretations to obtain a top-k of the m noisy interpretations; and averaging the top-k of the m noisy interpretations to produce an interpretation map with certifiable robustness.
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公开(公告)号：US11074416B2
公开(公告)日：2021-07-27
申请号：US16199756
申请日：2018-11-26
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Qi Cheng Li , Li Jun Mei , Jie Ma , Shao Chun Li
IPC: G06F40/35 , H04L12/58 , G06F16/335 , G06K9/62 , G06F16/36 , G06F40/169
Abstract: Methods and systems for automating user interactions include annotating chat logs to identify user intent in question-answer pairs. A classifier is trained, using the annotated chat log, to identify user intent in automated conversations. Chat flows are formed, using the annotated chat logs, that provide responses to user statements based on identified user intent. An automated conversation is conducted with a user, using the chat flows and the classifier, to provide automated responses to user statements.
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公开(公告)号：US20210097978A1
公开(公告)日：2021-04-01
申请号：US16586966
申请日：2019-09-28
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Lijun Mei , Qi Cheng Li , Xin Zhou , Xue Han , Yan Fei Wang
Abstract: A chatbot system receives utterances of a conversation. The chatbot system constructs a conversation knowledge graph comprising one or more dialogue segments that correspond to utterances of the conversation. The chatbot system identifies a dialogue segment in the conversation knowledge graph having a contextual uncertainty that is detected based on a context model. The chatbot system generates a clarifying question for the identified dialogue segment having the contextual uncertainty. The chatbot system receives a clarifying answer from a user interface of the computing device to the clarifying question. The chatbot system updates the context model and the conversation knowledge graph based on the clarifying question and the clarifying answer to resolve the contextual uncertainty of the identified dialogue segment.
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公开(公告)号：US10953877B2
公开(公告)日：2021-03-23
申请号：US15789560
申请日：2017-10-20
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Hao Chen , Ya Bin Dang , Qi Cheng Li , Shao Chun Li , Jie Ma , Li Jun Mei , Jian Wang , Yi Peng Yu , Xin Zhou
Abstract: This disclosure provides a method for road condition prediction. The method comprises receiving, for at least one source vehicle, sensor data collected by a sensor associated with the source vehicle. The method further comprises identifying, based on the sensor data, at least a location with an abnormal road condition and a responsive action taken by the source vehicle. The method further comprises notifying, the location with the abnormal road condition and the responsive action to at least one target vehicle that is expected to pass the location. This disclosure also provides a computer system and a computer software product for road condition prediction.
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公开(公告)号：US10929614B2
公开(公告)日：2021-02-23
申请号：US16238868
申请日：2019-01-03
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Li Jun Mei , Qi Cheng Li , Xin Zhou , Jie Ma , Shao Chun Li
Abstract: Systems and method for automated contextual dialog generation for cognitive conversations include embedding a natural language sentence input by a user into a corresponding sentence vector using a sentence embedder. A context array is generated using a contextual sentence embedder to embed the sentence vector and previous sentence vectors of a conversation history into a context array. Response words are predicted from the sentence vector by performing sequence-to-sequence dialog prediction with a dialog prediction network. Context of the input sentence is quantified by extracting context features from the context array using a situation quantification network. A response dialog is generated in natural language to display to a user, the response dialog responding to the input sentence with a response generator by determining a dialog state including the response words and the quantified context and optimizing the response dialog with reinforcement learning corresponding to the dialog state.
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