公开(公告)号：US09830139B2

公开(公告)日：2017-11-28

申请号：US15286493

申请日：2016-10-05

申请人： Google Inc.

发明人： Manish Lachwani ,  Jay Srinivasan ,  Raymond Tonsing

IPC分类号： G06F7/00 ,  G06F9/445 ,  H04L29/08 ,  G06Q30/02 ,  G06F9/54 ,  G06F3/0484 ,  G06Q30/04

CPC分类号： G06F8/61 ,  G06F3/04842 ,  G06F9/44505 ,  G06F9/44526 ,  G06F9/54 ,  G06Q30/0283 ,  G06Q30/04 ,  H04L67/10

摘要： Described herein is a system generating and sending shortcuts from a sending device to a receiving device. In one implementation, the sending device generates shortcut reference data (SRD) which includes application data indicative of a state of an application and a hash based on the application data. The SRD is sent to a shortcut server, while shortcut delivered data (SDD) which includes the hash value is sent to a recipient device. The recipient device may use the hash value of the SDD to request and receive the application data from the shortcut server. Once received, an application installed on the recipient device recreates on the recipient device the state of the application as originally presented on the sending device. As a result, a user at the sending device may share their experience with a user at the receiving device. Fees associated with the use of the system may be calculated.

公开(公告)号：US09838847B2

公开(公告)日：2017-12-05

申请号：US14843955

申请日：2015-09-02

申请人： Google Inc.

发明人： Brian John Julian ,  Etienne Le Grand ,  Brian Patrick Williams

IPC分类号： H04W4/02 ,  H04L12/24 ,  H04L12/26

CPC分类号： H04W4/029 ,  H04L41/142 ,  H04L43/08 ,  H04W4/023

摘要： Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on trained Gaussian processes. A computing device can determine trained Gaussian processes related to wireless network signal strengths, where a particular trained Gaussian process is associated with one or more hyperparameters. The computing device can designate one or more hyperparameters. The computing device can determine a hyperparameter histogram for values of the designated hyperparameters of the trained Gaussian processes. The computing device can determine a candidate Gaussian process associated with one or more candidate hyperparameter value for the designated hyperparameters. The computing device can determine whether the candidate hyperparameter values are valid based on the hyperparameter histogram. The computing device can, after determining that the candidate hyperparameter values are valid, add the candidate Gaussian process to the trained Gaussian processes. The computing device can provide an estimated location output based on the trained Gaussian processes.

公开(公告)号：US09838837B2

公开(公告)日：2017-12-05

申请号：US14685198

申请日：2015-04-13

申请人： Google Inc.

发明人： Stanley Chesnutt

IPC分类号： H04W24/00 ,  H04W4/02 ,  H04W52/02 ,  H04W48/16 ,  H04W64/00

CPC分类号： H04W4/02 ,  H04W48/16 ,  H04W52/0209 ,  H04W64/00 ,  Y02B80/50 ,  Y02D70/00 ,  Y02D70/1242 ,  Y02D70/1262 ,  Y02D70/142 ,  Y02D70/144 ,  Y02D70/146 ,  Y02D70/164 ,  Y02D70/166 ,  Y02D70/26

摘要： A wireless computing device may scan a frequency set. A first group of base stations may use the frequencies in the frequency set. Based on information relating to one or more base stations in the first group of base stations, the wireless computing device may estimate its location. The wireless computing device may further select a frequency subset of the frequency set. A second group of base stations may use the frequencies of the frequency subset. Based on information relating to one or more base stations in the second group of base stations, the wireless computing device may again estimate its location. If the two estimated locations are within a threshold distance of one another, the wireless computing device may perform, during a subsequent location-estimating operation, an additional frequency scan using the frequency subset.