公开(公告)号：US20190043064A1

公开(公告)日：2019-02-07

申请号：US15939557

申请日：2018-03-29

Applicant: Intel Corporation

Inventor： Siew Wen Chin ,  Usman Sarwar ,  Heng Kar Lau ,  Shao-Wen Yang ,  Addicam V. Sanjay

IPC: G06Q30/02

Abstract: Monitoring and analyzing people interacting with an environment, e.g., looking around, touching, talking, exclaiming, moving items around, staring at something, walking, as well as producing identifiable physiological and/or movement that may be analyzed to determine a person's interest and/or emotional response to the environment. In a shopping context, analysis may determine customer interest in a specific product. Interest/emotional response may be translated into a quantified review and the reviews may be pushed peer-to-peer to others in the environment, used to update signage, propagated to social media, etc. Reviews may be determined in real time and if related to an unusual or negative review, may trigger one or more various responses, e.g., automatic assistance to clear up a problem, perform other error handling, notify a vendor of a problem, trigger an update such as to lower prices, etc.

公开(公告)号：US20190028545A1

公开(公告)日：2019-01-24

申请号：US16062040

申请日：2015-12-20

Applicant: Shao-Wen YANG ,  Yen-Kuang CHEN ,  Nyuk Kin KOO ,  Intel Corporation

Inventor： Shao-Wen Yang ,  Yen-Kuang Chen ,  Nyuk Kin Koo

IPC: H04L29/08 ,  H04W4/70

Abstract: Multiple devices are detected in an environment and a user input is received to define a relationship between two or more devices in the plurality of devices. A system can determine that a first of the two or more devices includes a sensor resource and a second of the two or more devices includes an actuator resource. Data is identified describing outputs of the first device corresponding to the sensor resource and inputs of the second device corresponding to the actuator resource. A model is generated modeling interoperation of the sensor resource and actuator resource based at least in part on the data.

公开(公告)号：US20180275978A1

公开(公告)日：2018-09-27

申请号：US15762697

申请日：2015-09-25

Applicant: Intel Corporation

Inventor： Shao-Wen Yang ,  Yen-Kuang Chen

IPC: G06F8/60 ,  G06F9/445

CPC classification number: G06F8/60 ,  G06F8/71 ,  G06F9/44521

Abstract: Systems, apparatuses and methods may receive, at a local Internet of Things (IOT) device, a request to deploy an IOT application. Additionally, the IOT application may be partitioned into a plurality of atomic nodes, wherein configuration information for the plurality of atomic nodes may be sent, at runtime, to a plurality of remote IOT devices having abstracted resources that support operation of the first plurality of atomic nodes. In one example, the configuration information is sent via a device independent message protocol having a universal namespace.

公开(公告)号：US12067898B2

公开(公告)日：2024-08-20

申请号：US17256105

申请日：2018-09-28

Applicant: Intel Corporation

Inventor： Shao-Wen Yang ,  Addicam V. Sanjay ,  Karthik Veeramani ,  Gabriel L Silva ,  Marcos P. Da Silva ,  Jose A. Avalos ,  Stephen T. Palermo ,  Glen J. Anderson ,  Meng Shi ,  Benjamin W. Bair ,  Pete A. Denman ,  Reese L. Bowes ,  Rebecca A. Chierichetti ,  Ankur Agrawal ,  Mrutunjayya Mrutunjayya ,  Gerald A. Rogers ,  Shih-Wei Roger Chien ,  Lenitra M. Durham ,  Giuseppe Raffa ,  Irene Liew ,  Edwin Verplanke

IPC: G06F9/38 ,  G06F9/455 ,  G06T19/00 ,  G09B5/06

CPC classification number: G09B5/067 ,  G06F9/3877 ,  G06F9/45558 ,  G06T19/006 ,  G06F2009/45562 ,  G06F2009/4557 ,  G06F2009/45595

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data, wherein the sensor data is captured by a plurality of sensors within an educational environment. The processor is to: access the sensor data captured by the plurality of sensors: identify a student within the educational environment based on the sensor data: detect a plurality of events associated with the student based on the sensor data, wherein each event is indicative of an attention level of the student within the educational environment: generate a report based on the plurality of events associated with the student; and send the report to a third party associated with the student.

公开(公告)号：US20230237144A1

公开(公告)日：2023-07-27

申请号：US18157154

申请日：2023-01-20

Applicant: Intel Corporation

Inventor： Yen-Kuang Chen ,  Shao-Wen Yang ,  Ibrahima J. Ndiour ,  Yiting Liao ,  Vallabhajosyula S. Somayazulu ,  Omesh Tickoo ,  Srenivas Varadarajan

IPC: G06F21/44 ,  H04L9/06 ,  G06F21/64 ,  G06F21/53 ,  G06N5/022 ,  G06F21/45 ,  H04L9/32 ,  H04W4/70 ,  G06F16/538 ,  G06F16/535 ,  G06F16/54 ,  G06F21/62 ,  G06F9/50 ,  G06N3/04 ,  G06N3/063 ,  G06V10/44 ,  G06V20/00 ,  G06V40/20 ,  G06V40/16 ,  G06F9/48 ,  H04L67/51 ,  G06T7/11 ,  G06V10/96 ,  G06V30/262 ,  G06K15/02 ,  G06F18/24 ,  G06F18/21 ,  G06F18/22 ,  G06F18/211 ,  G06F18/213 ,  G06F18/2413 ,  G06N3/045 ,  G06V30/19 ,  G06V10/82 ,  G06V10/94 ,  G06V10/75 ,  G06V10/20 ,  G06V10/40 ,  G06N3/08 ,  H04L67/12 ,  H04N19/80 ,  G06F16/951 ,  H04N19/46 ,  G06T7/70

CPC classification number: G06F21/44 ,  H04L9/0643 ,  G06F21/64 ,  G06F21/53 ,  G06N5/022 ,  G06F21/45 ,  H04L9/3239 ,  H04W4/70 ,  G06F16/538 ,  G06F16/535 ,  G06F16/54 ,  G06F21/6254 ,  G06F9/5044 ,  G06F9/5072 ,  G06N3/04 ,  G06N3/063 ,  G06V10/454 ,  G06V20/00 ,  G06V40/20 ,  G06V40/161 ,  G06F9/4881 ,  G06F9/5066 ,  H04L67/51 ,  G06T7/11 ,  G06V10/96 ,  G06V30/274 ,  G06K15/1886 ,  G06F18/24 ,  G06F18/21 ,  G06F18/22 ,  G06F18/211 ,  G06F18/213 ,  G06F18/2163 ,  G06F18/24143 ,  G06N3/045 ,  G06V30/19173 ,  G06V10/82 ,  G06V10/95 ,  G06V10/75 ,  G06V10/20 ,  G06V10/40 ,  G06N3/08 ,  H04L67/12 ,  H04N19/80 ,  G06F16/951 ,  H04N19/46 ,  G06T7/70 ,  H04W12/02

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.

公开(公告)号：US20230185895A1

公开(公告)日：2023-06-15

申请号：US18060207

申请日：2022-11-30

Applicant: Intel Corporation

Inventor： Yen-Kuang Chen ,  Shao-Wen Yang ,  Ibrahima J. Ndiour ,  Yiting Liao ,  Vallabhajosyula S. Somayazulu ,  Omesh Tickoo ,  Srenivas Varadarajan

IPC: G06F21/44 ,  H04L9/06 ,  G06F21/64 ,  G06F21/53 ,  G06N5/022 ,  G06F21/45 ,  H04L9/32 ,  H04W4/70 ,  G06F16/538 ,  G06F16/535 ,  G06F16/54 ,  G06F21/62 ,  G06F9/50 ,  G06N3/04 ,  G06N3/063 ,  G06V10/44 ,  G06V20/00 ,  G06V40/20 ,  G06V40/16 ,  G06F9/48 ,  H04L67/51 ,  G06T7/11 ,  G06V10/96 ,  G06V30/262 ,  G06K15/02 ,  G06F18/24 ,  G06F18/21 ,  G06F18/22 ,  G06F18/211 ,  G06F18/213 ,  G06F18/2413 ,  G06N3/045 ,  G06V30/19 ,  G06V10/82 ,  G06V10/94 ,  G06V10/75 ,  G06V10/20 ,  G06V10/40 ,  G06N3/08 ,  H04L67/12 ,  H04N19/80 ,  G06F16/951 ,  H04N19/46 ,  G06T7/70

CPC classification number: G06F21/44 ,  G06F9/4881 ,  G06F9/5044 ,  G06F9/5066 ,  G06F9/5072 ,  G06F16/54 ,  G06F16/535 ,  G06F16/538 ,  G06F16/951 ,  G06F18/21 ,  G06F18/22 ,  G06F18/24 ,  G06F18/211 ,  G06F18/213 ,  G06F18/2163 ,  G06F18/24143 ,  G06F21/45 ,  G06F21/53 ,  G06F21/64 ,  G06F21/6254 ,  G06K15/1886 ,  G06N3/04 ,  G06N3/08 ,  G06N3/045 ,  G06N3/063 ,  G06N5/022 ,  G06T7/11 ,  G06T7/70 ,  G06V10/20 ,  G06V10/40 ,  G06V10/75 ,  G06V10/82 ,  G06V10/95 ,  G06V10/96 ,  G06V10/454 ,  G06V20/00 ,  G06V30/274 ,  G06V30/19173 ,  G06V40/20 ,  G06V40/161 ,  H04L9/0643 ,  H04L9/3239 ,  H04L67/12 ,  H04L67/51 ,  H04N19/46 ,  H04N19/80 ,  H04W4/70 ,  H04W12/02

Abstract: In one embodiment, an apparatus comprises a communication interface and a processor. The communication interface is to communicate with a plurality of devices. The processor is to: receive compressed data from a first device, wherein the compressed data is associated with visual data captured by sensor(s); perform a current stage of processing on the compressed data using a current CNN, wherein the current stage of processing corresponds to one of a plurality of processing stages associated with the visual data, and wherein the current CNN corresponds to one of a plurality of CNNs associated with the plurality of processing stages; obtain an output associated with the current stage of processing; determine, based on the output, whether processing associated with the visual data is complete; if the processing is complete, output a result associated with the visual data; if the processing is incomplete, transmit the compressed data to a second device.

公开(公告)号：US20220210008A1

公开(公告)日：2022-06-30

申请号：US17396354

申请日：2021-08-06

Applicant: Intel Corporation

Inventor： Shao-Wen Yang ,  Michael J. Nolan ,  Ignacio J. Alvarez Martinez ,  Robert Adams ,  John Brady ,  Mark Kelly ,  Yen-Kuang Chen

IPC: H04L41/084 ,  H04L67/12 ,  H04L69/40 ,  H04L65/40 ,  H04W4/70 ,  G06N20/00 ,  H04L41/0866 ,  H04W8/00

Abstract: Data is received describing a local model of a first device generated by the first device based on sensor readings at the first device and a global model is updated that is hosted remote from the first device based on the local model and modeling devices in a plurality of different asset taxonomies. A particular operating state affecting one or more of a set of devices deployed in particular machine-to-machine network is detected and the particular machine-to-machine network is automatically reconfigured based on the global model.

公开(公告)号：US20220021736A1

公开(公告)日：2022-01-20

申请号：US17189186

申请日：2021-03-01

Applicant: Intel Corporation

Inventor： Shao-Wen Yang ,  Yen-Kuang Chen

IPC: H04L29/08 ,  H04W4/70 ,  H04W4/50 ,  H04W8/00

Abstract: Data is received describing a local model of a first device generated by the first device based on sensor readings at the first device and a global model is updated that is hosted remote from the first device based on the local model and modeling devices in a plurality of different asset taxonomies. A particular operating state affecting one or more of a set of devices deployed in a particular machine-to-machine network is detected and the particular machine-to-machine network is automatically reconfigured based on the global model.

公开(公告)号：US11145201B2

公开(公告)日：2021-10-12

申请号：US16733621

申请日：2020-01-03

Applicant: Intel Corporation

Inventor： Shao-Wen Yang ,  Eve M. Schooler ,  Maruti Gupta Hyde ,  Hassnaa Moustafa ,  Katalin Klara Bartfai-Walcott ,  Yen-Kuang Chen ,  Jessica McCarthy ,  Christina R. Strong ,  Arun Raghunath ,  Deepak S. Vembar

IPC: G08G1/09 ,  G06F9/50 ,  G06K9/00 ,  G06Q50/26 ,  G11B27/031 ,  H04N7/18 ,  G08G1/087 ,  G08G1/01 ,  G06F21/60 ,  G06F9/48 ,  G06F21/62 ,  G06K9/62 ,  G06K9/46

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

公开(公告)号：US20210294788A1

公开(公告)日：2021-09-23

申请号：US16949531

申请日：2020-11-02

Applicant: Intel Corporation

Inventor： Guang-He Lee ,  Shao-Wen Yang

IPC: G06F16/23 ,  G06F16/2455 ,  G06F16/215

Abstract: A set of data is identified that includes a plurality of observed values generated by a plurality of sensor devices located in a plurality of different locations. For each of the plurality of observed values, a modality of the value, a spatial location of the value, and a timestamp of the value is determined. Values for one or more missing values in the set of data are determined from the modalities, spatial locations, and timestamps of the plurality of observed values.