Patents by Inventor Hisami Suzuki

Hisami Suzuki 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).

  • Publication number: 20220220694
    Abstract: In a hydraulic excavator including a main controller that can execute area restriction control, the main controller is configured to calculate an operation velocity Vfx of a front work device in a machine body coordinate system and a movement velocity (dragging velocity) Vu of a machine body in a gravity coordinate system and correct a direction of a calculated target velocity vector Vt upward away from a construction target surface when generation of dragging is detected during execution of the area restriction control based on the calculated operation velocity Vfx of the front work device 2 and the calculated movement velocity Vu of the machine body.
    Type: Application
    Filed: August 3, 2020
    Publication date: July 14, 2022
    Inventors: Yusuke SUZUKI, Hiroaki TANAKA, Hisami NAKANO, Hiroshi SAKAMOTO, Akihiro NARAZAKI
  • Patent number: 11384509
    Abstract: A controller (25) of the hydraulic excavator (1) includes a signal separation section (150) that separates each of target speed signals for a plurality of front members (8, 9, 10) into a low frequency component and a high frequency component, a high fluctuation target speed calculation section (143) that allocates the separated high frequency components preferentially to a front member having a relatively small inertial load to calculate high fluctuation target speeds individually for the plurality of front members, a high fluctuation target actuator speed calculation section (141c) that calculates high fluctuation target speeds individually for the plurality of actuators from the high fluctuation target speeds for the plurality of front members, a low fluctuation target actuator speed calculation section (141b) that calculates low fluctuation target speeds individually for the plurality of actuators from the low frequency components separated by the signal separation section, and an actuator controller (200)
    Type: Grant
    Filed: March 22, 2018
    Date of Patent: July 12, 2022
    Assignee: HITACHI CONSTRUCTION MACHINERY CO., LTD.
    Inventors: Hisami Nakano, Hiroaki Tanaka, Yusuke Suzuki
  • Patent number: 11377813
    Abstract: In a work machine including a controller (500) configured to calculate respective target velocities of a hydraulic cylinder (5) for moving a plurality of work point candidates (8a and 8b) set to a work device along an optionally set target surface (60) on the basis of positional data of the target surface, posture data of the work device (15), and operation data of an operation lever (1), and control the velocity of the hydraulic cylinder (5) according to one of a plurality of the calculated target velocities, the controller calculates a candidate point velocity (VTab or VTba) occurring in a case where each of the plurality of work point candidates is moved at the corresponding target velocity (VTa or VTb) and occurring at a remaining work point candidate, selects a velocity at which an entry into the target surface is least likely from among the plurality of candidate point velocities, and controls the hydraulic cylinder according to the target velocity of the work point candidate associated with the selecte
    Type: Grant
    Filed: September 20, 2018
    Date of Patent: July 5, 2022
    Assignee: HITACHI CONSTRUCTION MACHINERY CO., LTD.
    Inventors: Hisami Nakano, Hiroaki Tanaka, Yusuke Suzuki
  • Publication number: 20220100972
    Abstract: Examples of the present disclosure describe systems and methods of configuring generic language understanding models. In aspects, one or more previously configured schemas for various applications may be identified and collected. A generic schema may be generated using the collected schemas. The collected schemas may be programmatically mapped to the generic schema. The generic schema may be used to train on ore more models. An interface may be provided to allow browsing the models. The interface may include a configuration mechanism that provides for selecting on or more of the models. The selected models may be bundled programmatically, such that the information and instructions needed to implement the models are configured programmatically. The bundled models may then be provided to a requestor.
    Type: Application
    Filed: December 14, 2021
    Publication date: March 31, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ruhi Sarikaya, Asli Celikyilmaz, Young-Bum Kim, Zhaleh Feizollahi, Nikhil Ramesh, Hisami Suzuki, Alexandre Rochette
  • Patent number: 11218565
    Abstract: A primary virtual assistant and local virtual assistant herein can provide secondary information, including, without limitation, user-specific information, without having direct access to such information. For example, a user may invoke a secondary virtual assistant, through the local virtual assistant connected to a primary virtual assistant system. This invocation may be sent through the primary virtual assistant to the third party provider, i.e., the secondary virtual assistant. The secondary virtual assistant has access to the secondary information, for example, email, calendars, other types of information specifically associated with the user or learned from past user actions while this information is not directly available to the primary virtual assistant. This secondary information is then provided to the local virtual assistant in response to the invocation to be provided to the user.
    Type: Grant
    Filed: October 23, 2019
    Date of Patent: January 4, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Alice Jane Bernheim Brush, Lisa Stifelman, James Francis Gilsinan, IV, Karl Rolando Henderson, Jr., Robert Juan Miller, Nikhil Rajkumar Jain, Hanjiang Zhou, Oliver Scholz, Hisami Suzuki
  • Publication number: 20210126985
    Abstract: A primary virtual assistant and local virtual assistant herein can provide secondary information, including, without limitation, user-specific information, without having direct access to such information. For example, a user may invoke a secondary virtual assistant, through the local virtual assistant connected to a primary virtual assistant system. This invocation may be sent through the primary virtual assistant to the third party provider, i.e., the secondary virtual assistant. The secondary virtual assistant has access to the secondary information, for example, email, calendars, other types of information specifically associated with the user or learned from past user actions while this information is not directly available to the primary virtual assistant. This secondary information is then provided to the local virtual assistant in response to the invocation to be provided to the user.
    Type: Application
    Filed: October 23, 2019
    Publication date: April 29, 2021
    Inventors: Alice Jane Bernheim BRUSH, Lisa STIFELMAN, James Francis GILSINAN, IV, Karl Rolando HENDERSON, JR., Robert Juan MILLER, Nikhil Rajkumar JAIN, Hanjiang ZHOU, Oliver SCHOLZ, Hisami SUZUKI
  • Patent number: 10798027
    Abstract: Systems and methods are disclosed for personalized communications using semantic memory. In one implementation, a first communication is received from a user and processed to identify a first content element within the communication. The first content element is associated with a second content element within a content repository. A second communication that includes the first content element is received from the user. Based on an association between the first content element and the second content element within the content repository, a third communication that includes the second content element is generated and provided to the user in response to the second communication.
    Type: Grant
    Filed: March 5, 2017
    Date of Patent: October 6, 2020
    Inventors: Vipul Agarwal, Omar Zia Khan, Imed Zitouni, Hisami Suzuki
  • Patent number: 10114676
    Abstract: Methods and systems are provided for collaborative completion of tasks using task frames. Upon receiving a request to perform a task, a system utilizes task frames in completing the requested task. A task frame is a data structure that contains the parameters and status signals that represent a particular task and captures the combined system's understanding of a current state of the task. Input is received at a client device and sent to a server, where the input is processed. Based on the processed input, a task frame is retrieved and filled. The filled task frame is sent to the client device, where the client device performs actions based on the task frame and updates the task frame parameters and the state of the task. The updated task frame is returned to the server. The shared task frame provides improvements to the overall task completion process.
    Type: Grant
    Filed: May 5, 2015
    Date of Patent: October 30, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ravi Bikkula, Danko Panic, Paul Crook, Omar Zia Khan, Ruhi Sarikaya, Hisami Suzuki
  • Publication number: 20180255005
    Abstract: Systems and methods are disclosed for personalized communications using semantic memory. In one implementation, a first communication is received from a user and processed to identify a first content element within the communication. The first content element is associated with a second content element within a content repository. A second communication that includes the first content element is received from the user. Based on an association between the first content element and the second content element within the content repository, a third communication that includes the second content element is generated and provided to the user in response to the second communication.
    Type: Application
    Filed: March 5, 2017
    Publication date: September 6, 2018
    Inventors: Vipul Agarwal, Omar Zia Khan, Imed Zitouni, Hisami Suzuki
  • Publication number: 20170212886
    Abstract: Examples of the present disclosure describe systems and methods of configuring generic language understanding models. In aspects, one or more previously configured schemas for various applications may be identified and collected. A generic schema may be generated using the collected schemas. The collected schemas may be programmatically mapped to the generic schema. The generic schema may be used to train on ore more models. An interface may be provided to allow browsing the models. The interface may include a configuration mechanism that provides for selecting on or more of the models. The selected models may be bundled programmatically, such that the information and instructions needed to implement the models are configured programmatically. The bundled models may then be provided to a requestor.
    Type: Application
    Filed: January 22, 2016
    Publication date: July 27, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ruhi Sarikaya, Asli Celikyilmaz, Young-Bum Kim, Zhaleh Feizollahi, Nikhil Ramesh, Hisami Suzuki, Alexandre Rochette
  • Publication number: 20160328270
    Abstract: Methods and systems are provided for collaborative completion of tasks using task frames. Upon receiving a request to perform a task, a system utilizes task frames in completing the requested task. A task frame is a data structure that contains the parameters and status signals that represent a particular task and captures the combined system's understanding of a current state of the task. Input is received at a client device and sent to a server, where the input is processed. Based on the processed input, a task frame is retrieved and filled. The filled task frame is sent to the client device, where the client device performs actions based on the task frame and updates the task frame parameters and the state of the task. The updated task frame is returned to the server. The shared task frame provides improvements to the overall task completion process.
    Type: Application
    Filed: May 5, 2015
    Publication date: November 10, 2016
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ravi Bikkula, Danko Panic, Paul Crook, Omar Zia Khan, Ruhi Sarikaya, Hisami Suzuki
  • Patent number: 8738356
    Abstract: The universal text input technique described herein addresses the difficulties of typing text in various languages and scripts, and offers a unified solution, which combines character conversion, next word prediction, spelling correction and automatic script switching to make it extremely simple to type any language from any device. The technique provides a rich and seamless input experience in any language through a universal IME (input method editor). It allows a user to type in any script for any language using a regular qwerty keyboard via phonetic input and at the same time allows for auto-completion and spelling correction of words and phrases while typing. The technique also provides a modeless input that automatically turns on and off an input mode that changes between different types of script.
    Type: Grant
    Filed: May 18, 2011
    Date of Patent: May 27, 2014
    Assignee: Microsoft Corp.
    Inventors: Hisami Suzuki, Vikram Dendi, Christopher Brian Quirk, Pallavi Choudhury, Jianfeng Gao, Achraf Chalabi
  • Publication number: 20120296627
    Abstract: The universal text input technique described herein addresses the difficulties of typing text in various languages and scripts, and offers a unified solution, which combines character conversion, next word prediction, spelling correction and automatic script switching to make it extremely simple to type any language from any device. The technique provides a rich and seamless input experience in any language through a universal IME (input method editor). It allows a user to type in any script for any language using a regular qwerty keyboard via phonetic input and at the same time allows for auto-completion and spelling correction of words and phrases while typing. The technique also provides a modeless input that automatically turns on and off an input mode that changes between different types of script.
    Type: Application
    Filed: May 18, 2011
    Publication date: November 22, 2012
    Applicant: MICROSOFT CORPORATION
    Inventors: Hisami Suzuki, Vikram Dendi, Christopher Brian Quirk, Pallavi Choudhury, Jianfeng Gao, Achraf Chalabi
  • Patent number: 8209163
    Abstract: Grammatical element prediction is used in the context of machine translation. Features from both the source language and the target language sentences (or other text fragments) are used in predicting the grammatical elements.
    Type: Grant
    Filed: August 15, 2006
    Date of Patent: June 26, 2012
    Assignee: Microsoft Corporation
    Inventors: Hisami Suzuki, Kristina Toutanova
  • Patent number: 8051056
    Abstract: Methods are disclosed for acquiring ontological knowledge using query logs. In one embodiment, query logs are first utilized as a basis for identifying important contexts associated with terms belonging to a semantic category. Then, those contexts are as a basis for identifying new terms belonging to the same category or, in another embodiment, as a basis for removing extraneous or obsolete terms identified as being in the same category.
    Type: Grant
    Filed: May 29, 2007
    Date of Patent: November 1, 2011
    Assignee: Microsoft Corporation
    Inventors: Hisami Suzuki, Satoshi Sekine
  • Publication number: 20110218796
    Abstract: Described is a transliteration engine/substring decoder that back-transliterates an input string from a source language into an output string in a target language. The transliteration engine may be based upon discriminately weighted indicator features and/or generative models in which the decoder's discriminative parameters are learned. The training data may be based on source-target pairs, which may be transformed into derivations. Features extracted from these derivations include indicator features and hybrid generative model features.
    Type: Application
    Filed: March 5, 2010
    Publication date: September 8, 2011
    Applicant: Microsoft Corporation
    Inventors: Hisami Suzuki, Colin Andrew Cherry
  • Patent number: 7865352
    Abstract: Grammatical element prediction is used to predict grammatical elements in text fragments (such as phrases or sentences). In one embodiment, a statistical model, using syntax features, is used to predict grammatical elements.
    Type: Grant
    Filed: July 10, 2006
    Date of Patent: January 4, 2011
    Assignee: Microsoft Corporation
    Inventors: Hisami Suzuki, Kristina Toutanova
  • Patent number: 7702680
    Abstract: Document summarization is performed by scoring individual words in sentences in a document or document cluster. Sentences from the document or document cluster are selected to form a summary based on the scores of the words contained in those sentences.
    Type: Grant
    Filed: November 2, 2006
    Date of Patent: April 20, 2010
    Assignee: Microsoft Corporation
    Inventors: Wen-tau Yih, Joshua T. Goodman, Lucretia H. Vanderwende, Hisami Suzuki
  • Patent number: 7680659
    Abstract: A method of training language model parameters trains discriminative model parameters in the language model based on a performance measure having discrete values.
    Type: Grant
    Filed: June 1, 2005
    Date of Patent: March 16, 2010
    Assignee: Microsoft Corporation
    Inventors: Jianfeng Gao, Hisami Suzuki
  • Patent number: 7536397
    Abstract: A system is utilized for determining a relationship between first and second textual inputs. The system identifies constituents in the first textual input, having predetermined characteristics indicative of usefulness in determining the relationship. The relationship is then determined based on the constituents identified. The constituents can be eliminated from the first textual input, weighted in the first textual input, or simply annotated in one of a variety of ways.
    Type: Grant
    Filed: November 2, 2004
    Date of Patent: May 19, 2009
    Assignee: Microsoft Corporation
    Inventors: Simon H. Corston-Oliver, William B. Dolan, Hisami Suzuki