Patents by Inventor Hsiu-Khuern Tang

Hsiu-Khuern Tang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10692601
    Abstract: In some examples, a computing device may receive hierarchical data having a hierarchical structure including a plurality of levels. The computing device may determine a plurality of features based at least in part on the hierarchical data, and may select a subset of the features at a first level as candidates for consolidating to a next higher level in the hierarchical structure. The computing device may determine that a predicted loss of information from consolidating the subset of features is less than a threshold, and may revise the hierarchical structure to include a consolidated feature at the next higher level, rather than the subset of features. In some examples, a statistical model may be trained based on the revised hierarchical structure and used at least partially to make a determination, send a notification, and/or control a device.
    Type: Grant
    Filed: August 25, 2016
    Date of Patent: June 23, 2020
    Assignee: HITACHI, LTD.
    Inventors: Hsiu-Khuern Tang, Haiyan Wang, Hiroaki Ozaki, Shuang Feng, Abhay Mehta
  • Publication number: 20200082941
    Abstract: In some examples, a system may generate a plurality of care path patient profile models based on a plurality of care path patterns for a plurality of past patient admissions. For example, each care path patient profile model may include a trained classifier. Further, the system may receive information related to a new patient admission, and may generate features from the received information related to the new patient admission. The system may input the features generated from the received information related to the new patient admission into the plurality of care path patient profile models to obtain a respective probability of being classified in a respective care path based on an amount of similarity to the patients who have gone through each care path. In addition, the system may present, on a display, information related to at least one care path pattern in a graphical user interface.
    Type: Application
    Filed: September 11, 2018
    Publication date: March 12, 2020
    Inventors: Haiyan WANG, Hsiu-Khuern TANG, Abhay MEHTA, Laleh JALALI, Maojing FU, Hiroaki OZAKI
  • Patent number: 10346728
    Abstract: In some examples, a system may train a false positive reduction machine learning model (MLM) for nodule detection. The system may receive training data images including negative images and positive images, along with an indication of nodule locations in the positive images. The system may determine elliptical approximations for nodules in the positive images, and may determine respective binarized contours from the elliptical approximations. Further, the system may determine an elliptical approximation space for the binarized contours, and may determine a subspace angle between individual image samples in the positive images and the elliptical approximation space as at least one feature of the MLM. Subsequently, when applying the MLM during nodule detection, one or more images may be input to the MLM to determine whether an indication of a nodule is correct, and if so, a visualization of a location of the nodule may be provided.
    Type: Grant
    Filed: October 26, 2017
    Date of Patent: July 9, 2019
    Assignee: Hitachi, Ltd.
    Inventors: Maojing Fu, Hsiu-Khuern Tang, Abhay Mehta
  • Patent number: 10340039
    Abstract: In some examples, a computing device may receive sensor data associated with a plurality of patient devices that are associated with a plurality of patients. The computing device may further receive caregiver records corresponding at least partially to the sensor data. At least two groups of indicators may be determined from the caregiver records, such a based on a selected subject. Further, the computing device may determine a plurality of clusters from the sensor data. Based on the plurality of clusters and the at least two groups, the computing device may determine an indication of a discrepancy in care for a patient of the plurality of patients. Based on the indication of the discrepancy, the computing device may send at least one of a notification to a caregiver computing device, a notification to a monitoring computing device, or a control signal to one of the patient devices.
    Type: Grant
    Filed: August 25, 2016
    Date of Patent: July 2, 2019
    Assignee: Hitachi, Ltd.
    Inventors: Shuang Feng, Abhay Mehta, Hsiu-Khuern Tang, Hiroaki Ozaki, Haiyan Wang, Song Wang
  • Patent number: 10313422
    Abstract: In some examples, a computing device may receive sensor data for a target and at least one of: log data for the target, or historical log data and historical sensor data for a plurality of other targets. The computing device may determine at least one event classified as a non-uniform event in at least one of the log data or the historical log data, and may determine combined features, such as a feature vector, based on the sensor data and the non-uniform event(s). The computing device may determine an analysis result from the combined features. Further, based on the analysis result, the computing device may send a control signal to a device associated with the target for controlling the device, and/or may send a communication related to the target to another computing device.
    Type: Grant
    Filed: October 17, 2016
    Date of Patent: June 4, 2019
    Assignee: Hitachi, Ltd.
    Inventors: Hiroaki Ozaki, Abhay Mehta, Hsiu-Khuern Tang, Shuang Feng, Haiyan Wang
  • Publication number: 20190130228
    Abstract: In some examples, a system may train a false positive reduction machine learning model (MLM) for nodule detection. The system may receive training data images including negative images and positive images, along with an indication of nodule locations in the positive images. The system may determine elliptical approximations for nodules in the positive images, and may determine respective binarized contours from the elliptical approximations. Further, the system may determine an elliptical approximation space for the binarized contours, and may determine a subspace angle between individual image samples in the positive images and the elliptical approximation space as at least one feature of the MLM. Subsequently, when applying the MLM during nodule detection, one or more images may be input to the MLM to determine whether an indication of a nodule is correct, and if so, a visualization of a location of the nodule may be provided.
    Type: Application
    Filed: October 26, 2017
    Publication date: May 2, 2019
    Inventors: Maojing FU, Hsiu-Khuern TANG, Abhay MEHTA
  • Patent number: 10109122
    Abstract: Example implementations described herein are directed to a decision-support system for maintenance recommendation that uses analytics technology to evaluate the effectiveness of a maintenance action or a group of actions in improving the performance of equipment and its components, and provide recommendations on which maintenance actions or a group of maintenance actions should be pursued and which should be avoided.
    Type: Grant
    Filed: April 22, 2016
    Date of Patent: October 23, 2018
    Assignee: HITACHI, LTD.
    Inventors: Ahmed Khairy Farahat, Chetan Gupta, Hsiu-Khuern Tang
  • Publication number: 20180109589
    Abstract: In some examples, a computing device may receive sensor data for a target and at least one of: log data for the target, or historical log data and historical sensor data for a plurality of other targets. The computing device may determine at least one event classified as a non-uniform event in at least one of the log data or the historical log data, and may determine combined features, such as a feature vector, based on the sensor data and the non-uniform event(s). The computing device may determine an analysis result from the combined features. Further, based on the analysis result, the computing device may send a control signal to a device associated with the target for controlling the device, and/or may send a communication related to the target to another computing device.
    Type: Application
    Filed: October 17, 2016
    Publication date: April 19, 2018
    Inventors: Hiroaki OZAKI, Abhay MEHTA, Hsiu-Khuern TANG, Shuang FENG, Haiyan WANG
  • Publication number: 20180060513
    Abstract: In some examples, a computing device may receive hierarchical data having a hierarchical structure including a plurality of levels. The computing device may determine a plurality of features based at least in part on the hierarchical data, and may select a subset of the features at a first level as candidates for consolidating to a next higher level in the hierarchical structure. The computing device may determine that a predicted loss of information from consolidating the subset of features is less than a threshold, and may revise the hierarchical structure to include a consolidated feature at the next higher level, rather than the subset of features. In some examples, a statistical model may be trained based on the revised hierarchical structure and used at least partially to make a determination, send a notification, and/or control a device.
    Type: Application
    Filed: August 25, 2016
    Publication date: March 1, 2018
    Inventors: Hsiu-Khuern TANG, Haiyan WANG, Hiroaki OZAKI, Shuang FENG, Abhay MEHTA
  • Publication number: 20180060492
    Abstract: In some examples, a computing device may receive sensor data associated with a plurality of patient devices that are associated with a plurality of patients. The computing device may further receive caregiver records corresponding at least partially to the sensor data. At least two groups of indicators may be determined from the caregiver records, such a based on a selected subject. Further, the computing device may determine a plurality of clusters from the sensor data. Based on the plurality of clusters and the at least two groups, the computing device may determine an indication of a discrepancy in care for a patient of the plurality of patients. Based on the indication of the discrepancy, the computing device may send at least one of a notification to a caregiver computing device, a notification to a monitoring computing device, or a control signal to one of the patient devices.
    Type: Application
    Filed: August 25, 2016
    Publication date: March 1, 2018
    Inventors: Shuang FENG, Abhay MEHTA, Hsiu-Khuern TANG, Hiroaki OZAKI, Haiyan WANG, Song WANG
  • Publication number: 20170309094
    Abstract: Example implementations described herein are directed to a decision-support system for maintenance recommendation that uses analytics technology to evaluate the effectiveness of a maintenance action or a group of actions in improving the performance of equipment and its components, and provide recommendations on which maintenance actions or a group of maintenance actions should be pursued and which should be avoided.
    Type: Application
    Filed: April 22, 2016
    Publication date: October 26, 2017
    Inventors: Ahmed Khairy Farahat, Chetan Gupta, Hsiu-Khuern Tang
  • Patent number: 9746511
    Abstract: Example implementations described herein are directed to detection of anomalous events and locations on the transmission power system using phasor management unit (PMU) data, which provides information to grid operators for online decision support. From the high-resolution time synchronized PMU data, the transient abnormal events can be monitored and locations can be disclosed to operators for remedy actions. Utilization of PMU information for such decision support compliments operation practices relying on supervisory control and data acquisition (SCADA) measurements at much lower data resolution. Accurate identification of event locations can further advise grid operators the root cause of disturbances and illuminate possible cascading failures. Implementations of the proposed technology may improve the resilience and reliability of the transmission power systems.
    Type: Grant
    Filed: November 25, 2015
    Date of Patent: August 29, 2017
    Assignee: Hitachi, Ltd.
    Inventors: Alex Wang, Hsiu-Khuern Tang, Bo Yang, Jun Yamazaki
  • Publication number: 20170146585
    Abstract: Example implementations described herein are directed to detection of anomalous events and locations on the transmission power system using phasor management unit (PMU) data, which provides information to grid operators for online decision support. From the high-resolution time synchronized PMU data, the transient abnormal events can be monitored and locations can be disclosed to operators for remedy actions. Utilization of PMU information for such decision support compliments operation practices relying on supervisory control and data acquisition (SCADA) measurements at much lower data resolution. Accurate identification of event locations can further advise grid operators the root cause of disturbances and illuminate possible cascading failures. Implementations of the proposed technology may improve the resilience and reliability of the transmission power systems.
    Type: Application
    Filed: November 25, 2015
    Publication date: May 25, 2017
    Inventors: Alex WANG, Hsiu-Khuern TANG, Bo YANG, Jun YAMAZAKI
  • Patent number: 8478709
    Abstract: System, including method, apparatus, and computer-readable media, for evaluating client status for a likelihood of churn. Client data may be received, with the client data representing events from a set of different event types performed by clients. Parameters of a statistical model that describes client behavior may be estimated using a computer and based on the client data. A churn type of event may be encoded in the statistical model as an absorbing state of a stochastic process, with a time of transition to the absorbing state modeled as being infinite. At least one of the parameters may correspond to the churn type of event. A likelihood of churn may be calculated for a plurality of the clients at one or more time points using the statistical model and its estimated parameters.
    Type: Grant
    Filed: March 8, 2010
    Date of Patent: July 2, 2013
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Hsiu-Khuern Tang, Justin S. Dyer
  • Publication number: 20130124258
    Abstract: Embodiments of the present invention are directed to methods and systems for developing customer retention and loyalty strategies. In one aspect, a method comprises calculating (202) likelihoods of next action taken by customers, based on customer attributes and associated attribute weights stored in a customer data base, and calculating (203) customer churn-risk scores, based on customer attributes that vary over time using the computing device. The methods also determines (207) what-if-scenarios for each customer based on churn-risk scores in order to identify the next-best-action to reduce probability of customer churn, and determines (208) when-to-act time thresholds for each customer based on churn-risk scores in order to identify when a non-high risk customer of churning will likely become a high-risk customer of churning at some later time.
    Type: Application
    Filed: March 8, 2010
    Publication date: May 16, 2013
    Inventors: Zainab Jamal, Hsiu-Khuern Tang
  • Publication number: 20120330881
    Abstract: System, including method, apparatus, and computer-readable storage media, for evaluating probabilities of next actions by customers to permit selective customer targeting. Customer data (20) may be received (32). The customer data (20) may represent a plurality of actions (14) taken by customers (12). At least a portion of the customer data (20) may be transformed (34) according to action number into stratified data (80) including strata, with each of the strata representing actions for one or more action numbers (74). A conditional proportional hazard function (84) may be estimated (36) from a stratum of the stratified data (80). Likelihoods of a next action may be calculated (38) using the hazard functions. The likelihoods may be the likelihoods of a next action at one or more times by individual customers (12) whose latest action has an action number for which the stratum represents actions.
    Type: Application
    Filed: March 8, 2010
    Publication date: December 27, 2012
    Inventors: Zainab Jamal, Hsiu-Khuern Tang
  • Patent number: 8046279
    Abstract: A system and method comprises simulating a multiple lot auction using a sequencing rule until bidding on all lots is closed, simulating the multiple lot auction using a different sequencing rule until bidding on all lots is closed, and comparing results of the simulated auctions with both sequencing rules.
    Type: Grant
    Filed: January 14, 2004
    Date of Patent: October 25, 2011
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Kemal Guler, Hsiu-Khuern Tang
  • Publication number: 20110218955
    Abstract: System, including method, apparatus, and computer-readable media, for evaluating client status for a likelihood of churn. Client data may be received, with the client data representing events from a set of different event types performed by clients. Parameters of a statistical model that describes client behavior may be estimated using a computer and based on the client data. A churn type of event may be encoded in the statistical model as an absorbing state of a stochastic process, with a time of transition to the absorbing state modeled as being infinite. At least one of the parameters may correspond to the churn type of event. A likelihood of churn may be calculated for a plurality of the clients at one or more time points using the statistical model and its estimated parameters.
    Type: Application
    Filed: March 8, 2010
    Publication date: September 8, 2011
    Inventors: Hsiu-Khuern TANG, Justin S. DYER
  • Patent number: 7974910
    Abstract: Methods and associated apparatus comprise, among other features, organizing previously acquired auction data into a plurality of sub-samples, each sub-sample comprising bid data associated with auctions having a common number of bidders, applying an inverse bid function to at least two sub-samples, pooling results from applying the inverse bid function to form a first pool, applying a direct bid function on the first pool to generate sample bids, matching bids from at least one sub-sample to the sample bids, and pooling results from the matching with the first pool to form a second pool.
    Type: Grant
    Filed: October 27, 2003
    Date of Patent: July 5, 2011
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Kemal Guler, Hsiu-Khuern Tang, Bin Zhang
  • Publication number: 20100161388
    Abstract: An embodiment in accordance with the present invention provides a method for determining a demand function for an item. For example, the method includes determining a first estimate of the demand function for the item by utilizing a first auction having a first set of auction parameters. Additionally, the method includes determining a second estimate of the demand function for the item by utilizing a second auction using auction data from the first auction. The second auction has a second set of auction parameters based on the first estimate of the demand function.
    Type: Application
    Filed: March 8, 2010
    Publication date: June 24, 2010
    Inventors: Kemal GULER, Tongw ei Liu, Hsiu-Khuern Tang