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1.发明公开公开(公告)号：US20230298318A1
公开(公告)日：2023-09-21
申请号：US18021341
申请日：2020-08-18
Applicant: Nippon Telegraph and Telephone Corporation
Inventor： Hirofumi NOGUCHI , Misao KATAOKA , Takuma ISODA , Kyota HATTORI
IPC: G06V10/764 , G16Y40/30 , G16Y20/10 , G06V10/776 , G06V10/70 , B25J9/16
CPC classification number: G06V10/764 , G16Y40/30 , G16Y20/10 , G06V10/776 , G06V10/87 , B25J9/1628 , B25J9/163
Abstract: A device control apparatus includes: a classification unit which refers to a classification table and assigns a classification label to sensor information of this time acquired from a sensor device of this time and a control unit which refers to a model table, selects, as an enhancement model, a learning model corresponding to a classification label provided by the classification unit, controls an actuator device using the enhancement model, and enhances and learns the enhancement model on the basis of the sensor information acquired from the sensor device in accordance with the control.
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公开(公告)号：US20220413834A1
公开(公告)日：2022-12-29
申请号：US17780303
申请日：2019-11-29
Applicant: Nippon Telegraph and Telephone Corporation
Inventor： Hirofumi NOGUCHI , Kyota HATTORI , Misao KATAOKA , Takuma ISODA
Abstract: A software placement device of a software placement system includes an information acquiring unit configured to acquire a finally-found location and a finally-found time, a deployment destination determining unit configured to calculate a data presence probability indicating a probability of a search target being detected at a certain time using the finally-found location and the finally-found time, to calculate a total cost using the data presence probability calculated and a computational cost and a network cost of each of base computers, and to select a base computer and a time interval for which the calculated total cost is a minimum, and a software distributing unit configured to distribute software to the selected base computer and transmit an analysis instruction for data of the selected time interval to the selected base computer.
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公开(公告)号：US20220109732A1
公开(公告)日：2022-04-07
申请号：US17429530
申请日：2020-02-14
Applicant: Nippon Telegraph and Telephone Corporation
Inventor： Misao KATAOKA , Hirofumi NOGUCHI , Takuma ISODA , Yoji YAMATO
Abstract: When selecting a combination of application software, a computer, and a device in executing various services, even in a situation in which an environment greatly varies, the probability to achieve the purpose of the service is increased to shorten the duration time required to achieve the purpose of the service.
Data effectiveness expectation value J(x, z) regarding a combination of a specific application x and a specific device z on a communication network is calculated, an evaluation value F(x, y, z) including the data effectiveness expectation value and a specific computer y as parameters is calculated, and an appropriate combination (x, y, z) is selected based on the result. The data effectiveness expectation value is calculated from actual record data. The data effectiveness expectation value is calculated by weighting old data and new data. The data effectiveness expectation value is calculated by using actual record values of other applications similar to the specific application x.-
Patent Agency Ranking
公开(公告)号：US20220058009A1
公开(公告)日：2022-02-24
申请号：US17432707
申请日：2020-02-21
Applicant: Nippon Telegraph and Telephone Corporation
Inventor： Takuma ISODA , Yoji YAMATO , Hirofumi NOGUCHI , Misao KATAOKA
Abstract: [Problem] Provided is an application deployment apparatus capable of optimally deploying an application on a node of a network.
[Solution] An application deployment apparatus 10 is an apparatus that deploys an application in a node N in a network 4, the network 4 including a plurality of the nodes N communicably connected by links L, and includes a deployment determination unit 14 configured to determine, as a deployment destination of the application, a node of the nodes N having a minimum cost including a computation cost of the node N and a communication cost of a links of the links L, and a deployment execution unit 15 configured to distribute the application to the determined node N.-
5.发明公开公开(公告)号：US20240146807A1
公开(公告)日：2024-05-02
申请号：US18278231
申请日：2021-02-24
Applicant: Nippon Telegraph and Telephone Corporation
Inventor： Takuma ISODA , Hirofumi NOGUCHI , Seisuke ARAI , Akinori SHIRAGA
IPC: H04L67/12
CPC classification number: H04L67/12
Abstract: A sensor device allocation apparatus that allocates a sensor device to an IoT service of the present invention includes a scoring unit that performs ranking of sensor devices satisfying a service requirement by an evaluation function based on specification conditions of the sensor devices and a scheduling unit that determines a control law of the sensor devices ranked by the scoring unit, in which the scheduling unit determines whether a service is satisfied based on collected data of the sensor device collected based on the control law, and the scoring unit corrects the evaluation function and repeats ranking of the sensor devices when the scheduling unit determines that the service is not satisfied.
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公开(公告)号：US20230049073A1
公开(公告)日：2023-02-16
申请号：US17792340
申请日：2020-01-15
Applicant: Nippon Telegraph and Telephone Corporation
Inventor： Takuma ISODA , Hirofumi NOGUCHI , Misao KATAOKA , Kyota HATTORI
Abstract: An imaging range estimation device includes an image data processor configured to acquire image data imaged by a camera device and generate image data with an object name label added, a reference data generator configured to set, by using geographic information, a region within a predetermined distance that is imageable from an estimated position at which the camera device is installed and generate reference data with an object name label added, and an imaging range estimator configured to calculate a concordance rate by comparing a feature indicated by a region of an object name label of the image data with a feature indicated by a region of an object name label of the reference data, and estimate the imaging range of the camera device to be a region of the reference data that corresponds to the image data.
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公开(公告)号：US20230067207A1
公开(公告)日：2023-03-02
申请号：US17799963
申请日：2020-02-17
Applicant: Nippon Telegraph and Telephone Corporation
Inventor： Misao KATAOKA , Hirofumi NOGUCHI , Takuma ISODA , Kyota HATTORI
IPC: G06T7/73
Abstract: An inter-device positional relationship estimation apparatus includes an analysis information acquisition unit that acquires time-series analysis information, a recommendation processing unit that estimates unanalyzed detailed information in time-series analysis information applying a predetermined recommendation algorithm, an initial map creation unit that calculates a neighborhood determination point indicating a degree of correlation of detailed information between fixed devices to create an initial map, and a device relationship map creation unit that calculates neighborhood points indicating a degree of correlation of detailed information between respective devices including a moving device or/and a new fixed device to calculate a detection probability and a movement time between devices and create a device relationship map.
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8.发明申请公开(公告)号：US20220276954A1
公开(公告)日：2022-09-01
申请号：US17636485
申请日：2019-08-23
Applicant: Nippon Telegraph and Telephone Corporation
Inventor： Hirofumi NOGUCHI , Misao KATAOKA , Takuma ISODA
Abstract: A device identification apparatus (1) includes: a communication information collection unit (101) configured to acquire communication information of existing devices and an identification target device; a feature amount generation unit (102) configured to make the communication information of the existing devices feature amounts and assign labels to generate first training data, make the communication information of the identification target device feature amounts and assign a dummy label to generate second training data, and further acquire communication information of the identification target device to generate identification data; a machine learning unit (103) configured to cause a learning engine (3) to learn the training data, and input the identification data to classify the identification data into the labels; a degree-of-similarity calculation unit (104) configured to calculate a degree of similarity for each label; and a device identification unit (105) configured to use a new type determination threshold to determine whether the device is a new type device.
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