Xiao Feng Li

US Patent:

20220257070, Aug 18, 2022

Filed:

Feb 16, 2022

Appl. No.:

17/673771

Inventors:

Baozhong Li - WAPPINGERS FALLS NY, US
Xiao Li - FRISCO TX, US

International Classification:

A47K 17/00
A47K 11/02
B08B 1/00
B08B 13/00
B08B 3/02

Abstract:

A self-mechanical-cleaning toilet system with water-splash cleaning options provides a more sanitary and comfortable bathroom experience with minimum water usage. The system includes a receiving trough, a removal scraper, a guide bar, a back door, a first translation mechanism, a second translation mechanism, and a controller. The receiving trough collects the excrement, while the removal scraper moves the excrement out. The guide bar controls the movement of the removal scraper along the receiving trough. The back door separates the receiving trough from an excrement storage compartment/sewer system. The first translation mechanism moves the removal scraper, while the second translation mechanism moves the back door as necessary. The controller monitors and controls the cycles of the operation of the first translation mechanism and the second translation mechanism. The water-splash cleaning options dispense specified amounts of fluids for cleaning and sanitation purposes. The system also includes means to eliminate unpleasant odors instantly.

US Patent:

20170097957, Apr 6, 2017

Filed:

Oct 1, 2015

Appl. No.:

14/872618

Inventors:

- Armonk NY, US
Hong Min - Poughkeepsie NY, US
Xiao Li - San Jose CA, US
Gong Su - New York NY, US
Ke Wei Wei - Beijing, CN
Xi Long Zheng - Beijing, CN

International Classification:

G06F 17/30

Abstract:

A system for transferring data from a Relational Database Management System (“RDBMS”) to a big data platform and methods for making and using the same. The system can acquire a partitioning execution scheme of a selected table from the RDBMS and submitting partitioned queries from the big data platform to each mapper of partitions. The partitioned queries are generated based on the partitioning execution scheme. The partitioning execution scheme can be acquired by submitting a query explain request to an optimizer of the RDBMS to generating a parallel query plan. The partitioning execution scheme can also be acquired by querying statistics from a statistics catalog of the RDBMS or by user inputs. The system can use RDBMS capabilities and statistics for parallel data fetching. Thereby, the system can increase efficiency of the fetching and can avoid straggling when target data is not evenly distributed and can avoid table query-in-serial.