Renmin University of China

International Business Machines Corporation

North China Electric Power University

Analogix International LLC

Analogix (Suzhou) Semiconductor Co., Ltd.

Shan Wang

Yan-Song Zhang

Yu Zhang

Xin Yang

Xiang Sean Zhou

Xuan Zhou

Heng Liu

Lin Cheng

Qi Hao

Jialian Wu

Min Jiao

Zhan-Wei Wang

Yansong Zhang

Chongru Liu

Chenbo Su

Jinyuan Wang

Qinghong Lai

The disclosure discloses an image display method, an image display device and a display system. The method includes: according to a image to be displayed, determining a maximum brightness value of pixel points in a panel partition to obtain a backlight brightness value corresponding to a backlight partition; acquiring a light diffusion curve of the backlight of the backlight partition incident on the panel partition corresponding to the backlight partition; calculating a compensation ratio of a target pixel to the light diffusion curve, the compensation ratio is a ratio of the maximum brightness value to an actual brightness value; calculating a pixel compensation value of the target pixel according to the image to be displayed and the compensation ratio; adjusting a pixel value of the target pixel point according to the pixel compensation value.

Image display method, image display device and display system

A harmonic suppression method, system and device using active power filtering based on a Virtual Oscillator Control (VOC) inverter are provided. The method includes the following steps: firstly, the basic structure and control of VOC and its parameter design are given; then the parameters of VOC are designed; then the active filtering harmonic suppression strategy based on VOC is proposed; finally, the suppression strategy is applied in the grid-connected inverter system and its effectiveness is verified by simulation.

Active power filtering-based harmonic suppression method, system and device using VOC inverter

The disclosure includes aspects of a system and/or method including a hash multi-table joining implementation method based on a grouping vector, which includes the following steps: 1) rewriting an SQL query command, and dividing a complete OLAP query command into a subtask of selecting-projecting-grouping-joining operation and an subtask of aggregating operation; 2) creating and generating grouping vector metadata corresponding to a GROUP-BY statement in an SQL command through the subtask of selecting-projecting-grouping-joining operation, and creating a vector index as an output result of the subtask of selecting-projecting-grouping-joining operation; 3) executing aggregation computation based on the vector index through the subtask of aggregating operation, and storing an aggregation computation result in a corresponding unit of a grouping vector aggregator with the same length as the grouping vector; and 4) merging the aggregation computation result in the grouping vector aggregator with the grouping vector metadata created in the joining operation subtask, and outputting the merged data as a result set of the SQL query command. The disclosure can be widely applied to the field of OLAP data query.

Hash multi-table join implementation method based on grouping vector

An OLAP query processing method oriented to a database and Hadoop hybrid platform is described. When OLAP query processing is performed, the processing is executed first on a main working copy, and a query processing result is recorded in an aggregate result table of a local database; when a working node is faulty, node information of a fault-tolerant copy corresponding to the main working copy is searched for through namenode, and a MapReduce task is invoked to complete the OLAP query processing task on the fault-tolerant copy. The database technology and the Hadoop technology are combined, and the storage performance of the database and the high expandability and high availability of the Hadoop are combined; the database query processing and the MapReduce query processing are integrated in a loosely-coupled mode, thereby ensuring the high query processing performance, and ensuring the high fault-tolerance performance.

OLAP query processing method oriented to database and HADOOP hybrid platform

In an exemplary embodiment of this disclosure, a method may include generating a tempo scale set based on a received query, where the query includes a plurality of query values defining a tempo of music to be searched. A tempo word set may be constructed based on the generated tempo scale set. The tempo word set may include one or more tempo words, where each tempo word includes at least one tempo scale in the tempo scale set. The music may be identified using the constructed tempo word set.

Method and apparatus for music searching

An access optimization method for a main memory database based on page-coloring is described. An access sequence of all data pages of a weak locality dataset is ordered by page-color, and all the data pages are grouped by page-color, and then all the data pages of the weak locality dataset are scanned in a sequence of page-color grouping. Further, a number of memory pages having the same page-color are preset as a page-color queue, in which the page-color queue serves as a memory cache before a memory page is loaded into a CPU cache; the data page of the weak locality dataset first enters the page-color queue in an asynchronous mode, and is then loaded into the CPU cache to complete data processing. Accordingly, cache conflicts between datasets with different data locality strengths can be effectively reduced.

Access optimization method for main memory database based on page-coloring

A concurrent on-line analytical processing (OLAP)-oriented database query processing method is described, for performing, on the basis of predicate vector-based memory OLAP star-join optimization, concurrent OLAP query processing based on a batch query predicate vector bit operation. The concurrent query processing optimization technology is implemented for I/O performance and parallel OLAP processing performance in a database management system, and setting of concurrent OLAP processing load in an optimized way catering to the I/O performance is supported, thereby improving predictable processing performance oriented to diversified OLAP queries and implementing concurrent query star-join bitmap filtering processing based on predicate vector arrays.

Concurrent OLAP-oriented database query processing method

A multi-dimensional OLAP query processing method oriented to a column store data warehouse is described. With this method, an OLAP query is divided into a bitmap filtering operation, a group-by operation and an aggregate operation. In the bitmap filtering operation, a predicate is first executed on a dimension table to generate a predicate vector bitmap, and a join operation is converted, through address mapping of a surrogate key, into a direct dimension table tuple access operation; in the group-by operation, a fact table tuple satisfying a filtering condition is pre-generated into a group-by unit according to a group-by attribute in an SQL command and is allocated with an increasing ID; and in the aggregate operation, group-by aggregate calculation is performed according to a group item of a fact table filtering group-by vector through one-pass column scan on a fact table measure attribute.

Growing community of inventors

Beijing, China

Shan Wang