Xiang Chen - El Sobrante CA, US Dmitri Pavlovski - San Francisco CA, US Arkady Borkovsky - San Francisco CA, US Richard Collins - Sunnyvale CA, US
Assignee:
E-Centives, Inc. - Bethesda MD
International Classification:
G06F017/30
US Classification:
707 10, 707103 R
Abstract:
A computer-implemented approach for organizing input listings from various sources of input listings. Input listings are organized by mapping the input listings to consolidated listing that correspond to the input listings. The mapping of the input listings are based on various techniques such as a Stock Keeping Unit item-listing-to-consolidated-listing matching technique, a name/title item-listing-to-consolidated-listing matching technique, and a model item-listing-to-consolidated-listing matching technique.
Xiang Chen - El Sobrante CA, US Dmitri Pavlovski - San Francisco CA, US Arkady Borkovsky - San Francisco CA, US Richard Collins - Sunnyvale CA, US
Assignee:
Invenda Corporation - Bethesda MD
International Classification:
G06F 17/30
US Classification:
707 3, 707 5, 707 10, 707100
Abstract:
A computer-implemented approach for organizing input listings from various sources of input listings. Input listings are organized by mapping the input listings to consolidated listing that correspond to the input listings. The mapping of the input listings are based on various techniques such as a Stock Keeping Unit item-listing-to-consolidated-listing matching technique, a name/title item-listing-to-consolidated-listing matching technique, and a model item-listing-to-consolidated-listing matching technique.
Xiang Chen - El Sobrante CA, US Dmitri Pavlovski - San Francisco CA, US Arkady Borkovsky - San Francisco CA, US Richard Collins - Sunnyvale CA, US
Assignee:
Invenda Corporation - Bethesda MD
International Classification:
G06F 17/30
US Classification:
707609
Abstract:
A computer-implemented approach for organizing input listings from various sources of input listings. Input listings are organized by mapping the input listings to consolidated listing that correspond to the input listings. The mapping of the input listings are based on various techniques such as a Stock Keeping Unit item-listing-to-consolidated-listing matching technique, a name/title item-listing-to-consolidated-listing matching technique, and a model item-listing-to-consolidated-listing matching technique.
Intelligent And Efficient System And/Or Method For Automatic Notification And/Or Enforcement Of Legal Traffic Speed Limits And Spots
Yong Yuan - Fremont CA, US Xiang Chen - Fremont CA, US
International Classification:
G06F007/00
US Classification:
701036000, 701117000
Abstract:
The present invention provides an intelligent and efficient system () and/or method () for automatic notification and/or enforcement of legal traffic speed limits and stops, comprising roads, streets, highways, construction zones, accident sites, and anywhere needed () installed at appropriate advanced locations with information tags () written with information including the according speed limit and/or stop information and vehicles () installed or built-in with information readers () capable of wirelessly and automatically reading information from the information tags () while the vehicles () travel. The read and other on-the-road information is displayed on visual displays () inside vehicles () and/or is voiced via audio devices () inside vehicles () for automatically notifying the vehicle drivers. Furthermore the in-vehicle speed control systems () use the speed limits read in by the information readers () to automatically enforce vehicles () to travel only within the speed limits.
Xiang Chen - El Sobrante CA, US Dmitri Pavlovski - San Francisco CA, US Arkady Borkovsky - San Francisco CA, US Richard Collins - Sunnyvale CA, US
Assignee:
Invenda Corporation - Bethesda MD
International Classification:
G06F 17/30
US Classification:
707737, 707E17014
Abstract:
A computer-implemented approach for organizing input listings from various sources of input listings. Input listings are organized by mapping the input listings to consolidated listing that correspond to the input listings. The mapping of the input listings are based on various techniques such as a Stock Keeping Unit item-listing-to-consolidated-listing matching technique, a name/title item-listing-to-consolidated-listing matching technique, and a model item-listing-to-consolidated-listing matching technique.
Bandwidth Part And Transmission Configuration Indication Switching In Non-Terrestrial Networks
- Cupertino CA, US Yang Tang - Cupertino CA, US Qiming Li - Beijing, CN Chunxuan Ye - San Diego CA, US Dawei Zhang - Saratoga CA, US Hong He - Cupertino CA, US Huaning Niu - San Jose CA, US Manasa Raghavan - Sunnyvale CA, US Xiang Chen - Campbell CA, US
International Classification:
H04W 72/04 H04W 76/10
Abstract:
A wireless device may establish communication with a network node and determine a relationship between transmission configuration indication (TCI) and bandwidth part (BWP). The wireless device may then receive an indication of one of TCI or BWP from the network node followed by determining the other of TCI or BWP based on the indication and using the relationship between the TCI and BWP. Finally, the wireless device may perform downlink communication using the indicated one of TCI or BWP and determined other TCI or BWP. The network node may be comprised in a non-terrestrial network and may specify via RRC signaling the relationship between TCI and BWP for the wireless device. The indication of the TCI or BWP may be provided by downlink control information (DCI), medium access control (MAC) control element (CE), an inactivity timer, or RRC reconfiguration commands.
Provisioning Interactive Content Based On Predicted User-Engagement Levels
- San Jose CA, US Xiang Chen - San Jose CA, US Sungchul Kim - San Jose CA, US Omar Rahman - San Jose CA, US Jean Bernard Hishamunda - San Jose CA, US Goutham Srivatsav Arra - Dublin CA, US
International Classification:
G06N 20/00 G06F 3/0484 H04L 29/08
Abstract:
Methods and systems disclosed herein relate generally to systems and methods for using a machine-learning model to predict user-engagement levels of users in response to presentation of future interactive content. A content provider system accesses a machine-learning model, which was trained using a training dataset including previous user-device actions performed by a plurality of users in response to previous interactive content. The content provider system receives user-activity data of a particular user and applies the machine-learning model to the user-activity data, in which the user-activity data includes user-device actions performed by the particular user in response to interactive content. The machine-learning model generates an output including a categorical value that represents a predicted user-engagement level of the particular user in response to a presentation of the future interactive content.
Mitigation Of Listen Before Talk Conflicts In The Unlicensed Spectrum
- Cupertino CA, US Dawei Zhang - Saratoga CA, US Hong He - San Jose CA, US Manasa Raghavan - Sunnyvale CA, US Qiming Li - Beijing, CN Xiang Chen - Campbell CA, US Yang Tang - San Jose CA, US
International Classification:
H04W 74/08
Abstract:
Apparatuses, systems, and methods for mitigation of listen before talk conflicts in the unlicensed spectrum. A wireless device may receive one or more synchronization signal blocks (SSBs) from a base station (BS) as part of a measurement procedure with listen before talk (LBT). The wireless device may determine one or more LBT failures associated with one or more receive beams of the wireless device. Furthermore, in response to determining the one or more LBT failures associated with the one or more receive beams of the wireless device, the wireless device may extend a measurement period for the one or more receive beams of the wireless device. The wireless device may then receive one or more additional SSBs on the one or more receive beams of the wireless device.
Jude and Charles Lu of Washington University. The other authors are Matthew Parker, Armita Bahrami, Alberto Pappo, Sara Federico, James Dalton, Jianmin Wang, Xiang Chen, Jared Becksfort, Jianrong Wu, Catherine Billups, David Ellison and James Downing, all of St. Jude; Satish Tickoo, Adriana Heguy a