-
公开(公告)号：US20190213900A1
公开(公告)日：2019-07-11
申请号：US15868561
申请日：2018-01-11
Applicant: International Business Machines Corporation
Inventor： Thomas D. Erickson , Jonathan Lenchner , Clifford A. Pickover , Komminist Weldemariam
IPC: G09B5/12 , G06F3/0482 , G09B5/06 , G09B7/02
Abstract: A computer-implemented method executed by an adaptive learning system is disclosed that includes the step of receiving a first set of user data associated with a learner. The method stores the first set of user data. The method predicts at least one user interaction activity based on the first set of user data. The method identifies engagement factors for the user in the first set of user data. The method determines a set of engagement models based on the at least one predicted user interaction event, the first set of user data, and the identified engagement factors. The method generates a first set of control items based on the set of engagement models.
-
12.发明申请公开(公告)号：US20180356839A1
公开(公告)日：2018-12-13
申请号：US16046144
申请日：2018-07-26
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Thomas D. Erickson , Clifford A. Pickover , Maja Vukovic
CPC classification number: G05D1/101 , B64C2201/146 , G01C21/20 , G01C21/34 , G01C23/005
Abstract: A system for continued navigation of unmanned aerial vehicles beyond restricted boundaries. The system comprises a monitoring device to track a geolocation corresponding to an unmanned aerial vehicle and to compare the geolocation corresponding to the unmanned aerial vehicle with a geolocation corresponding to a restricted boundary to determine a location of the unmanned aerial vehicle with respect to a restricted environment, and a route generator to generate an alternative navigation method to navigate the restricted environment when the unmanned aerial vehicle is located within a predetermined distance of the restricted environment.
-
公开(公告)号：US10077110B2
公开(公告)日：2018-09-18
申请号：US15157690
申请日：2016-05-18
Applicant: International Business Machines Corporation
Inventor： Thomas D. Erickson , Michael S. Gordon , Clifford A. Pickover , Maja Vukovic
CPC classification number: B64C39/024 , A61B5/1101 , A61B5/4082 , A61B5/6887 , A61B5/6896 , A61B2562/0219 , B64C2201/12 , B64C2201/141
Abstract: Aspects include methods, systems and computer program products for evaluating a patient for a movement disorder. The method comprises defining a patient to be evaluated and deploying a unmanned aerial vehicle (UAV) to a location of the patient. The UAV includes a patient evaluation feature and at least one sensor operably coupled to the patient evaluation feature. The UAV is positioned relative to the patient to measure a patient motor characteristic. The patient motor characteristic is measured with the at least one sensor. A movement disorder is determined based at least in part on the measured patient motor characteristic. A signal is transmitted based on the detecting the movement disorder.
-
公开(公告)号：US10035555B2
公开(公告)日：2018-07-31
申请号：US15203320
申请日：2016-07-06
Applicant: International Business Machines Corporation
Inventor： Thomas D. Erickson , Minkyong Kim , Clifford A. Pickover , Maja Vukovic
CPC classification number: B62J27/00 , A61B5/0077 , A61B5/1112 , A61B5/1117 , A61B5/18 , A61B5/4803 , A61B5/6887 , A61B5/7275 , A61B2503/06 , A61B2503/08 , A61B2562/0204 , A61B2562/0219 , B62D61/12 , B62D61/125 , B62H1/12 , B62H7/00 , B62J2099/0013 , B62J2099/002 , B62J2099/004 , H04W4/021 , H04W4/027
Abstract: An embodiment of the invention provides a method and system including a sensor on a vehicle and a processor connected to the sensor. The processor determines a probability of falling based on input from the sensor, whether the probability of falling exceeds a threshold, and a state of an operator of the vehicle. An actuator connected to the processor receives a signal from the processor when the probability of falling exceeds the threshold and when the state of the operator includes an impaired state. Stabilizer wheels are connected to the actuator, where the signal includes a command to deploy the stabilizer wheels.
-
公开(公告)号：US20180188728A1
公开(公告)日：2018-07-05
申请号：US15396915
申请日：2017-01-03
Applicant: International Business Machines Corporation
Inventor： Thomas D. Erickson , Clifford A. Pickover , Maja Vukovic , Komminist Weldemariam
Abstract: A drone road lighting method, system, and computer program product, includes detecting a need for illumination near a road and deploying a drone to perform an illumination action based on the detected need.
-
Patent Agency Ranking
16.发明授权公开(公告)号：US09875592B1
公开(公告)日：2018-01-23
申请号：US15251485
申请日：2016-08-30
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Thomas D. Erickson , Kala K. Fleming , Clifford A. Pickover , Komminist Weldemariam
CPC classification number: G07C9/00309 , B64C39/02 , B64C2201/127 , G07C9/00563 , G07C2009/00793
Abstract: In an electronic lock authentication method using a drone, authentication information input by a person is received at an electronic lock, a first level verification of the authentication information is performed at the electronic lock, and a drone request signal is transmitted from the electronic lock to the drone. The drone request signal instructs the drone to proceed to the electronic lock and perform a second level verification of the person when the first level verification has passed. Further in the method, the second level verification of the person is performed with the drone, a grant access signal is transmitted from the drone to the electronic lock, the grant access signal instructs the electronic lock to unlock when the second level verification has passed, and the electronic lock is unlocked in response to the grant access signal.
-
公开(公告)号：US20170177651A1
公开(公告)日：2017-06-22
申请号：US14974558
申请日：2015-12-18
Applicant: International Business Machines Corporation
Inventor： Jason B. Ellis , Thomas D. Erickson , Peter K. Malkin , Kevin P. McAuliffe
CPC classification number: G06F16/215
Abstract: An aspect of applying tacit knowledge to iteratively refine datasets includes determining, via a computer processor, that a data element in the dataset is potentially in non-conformance with other data in the dataset. The potential non-conformance is determined based on a discrepancy in a pattern noted in the dataset with respect to the data element. The dataset spans multiple knowledge domains. An aspect also includes annotating a data structure containing the data element to indicate the potential non-conformance and providing, via a user interface of the computer processor, a plurality of users with access to the data structure. The users collectively indicate domain experts for each of the multiple knowledge domains.
-
公开(公告)号：US20190310638A1
公开(公告)日：2019-10-10
申请号：US16443109
申请日：2019-06-17
Applicant: International Business Machines Corporation
Inventor： Thomas D. Erickson , Kala K. Fleming , Clifford A. Pickover , Komminist Weldemariam
Abstract: A drone identifies situational context (based on signals from at least one sensor) and selects an action in response to the situational context, based on a personality of the drone. The drone then communicates its personality to other drones within a swarm of drones, the drone being a member of the swarm of drones.
-
公开(公告)号：US20190213899A1
公开(公告)日：2019-07-11
申请号：US15868547
申请日：2018-01-11
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Thomas D. Erickson , Jonathan Lenchner , Clifford A. Pickover , Komminist Weldemariam
IPC: G09B5/12 , G09B5/06 , G09B7/02 , G06F3/0484
Abstract: A computer-implemented method executed by an adaptive learning system is disclosed that includes the step of estimating learning factors of a learner with respect to a content item. The method generates at least one user interaction activity associated with the content item using the estimated learning factors of the learner. The method displays the at least one user interaction activity on a display.
-
公开(公告)号：US10324466B2
公开(公告)日：2019-06-18
申请号：US15417644
申请日：2017-01-27
Applicant: International Business Machines Corporation
Inventor： Thomas D. Erickson , Kala K. Fleming , Clifford A. Pickover , Komminist Weldemariam
Abstract: A drone identifies situational context (based on signals from at least one sensor) and selects an action in response to the situational context, based on a personality of the drone. The drone then communicates its personality to other drones within a swarm of drones, the drone being a member of the swarm of drones.
-
-
-
-
-
-
-
-
-
Search Results
49
records
(took 0.022 seconds)
