International Business Machines Corporation

Other

Jian Ling Shi

Yi Yang Ren

Liang Lu

Sun Chun Hua

Chun Leng

Yue Wang

Wei Wang

Chun H Sun

Xu Bin Cai

Pin Lv

A computer-implemented method may include generating a rule operator comprising a rule table; generating a rule operator group comprising rule operators containing similar rule tables; communicating the rule operator group to a shared compute node; retrieving table data associated with the rule table of a first rule operator within the rule operator group; reusing the table data associated with the first rule operator in a first runtime of additional rule operators corresponding to the rule operator group; determining at least one checker metric associated with a second runtime of a data rule; determining a workload state for the shared compute node based on the at least one checker metric; determining time taken and resource usage for a data rule during the second runtime; and balancing a workload of each compute node based on the workload state, time taken, and resource usage for the data rule during the second runtime.

Data rule workload distribution

Methods, systems, computer program products for determining the source of activity during interaction with a user interface are provided. The method comprises selecting one or more input devices from a plurality of available input devices coupled to the user interface and receiving respective measurements for the selected one or more input devices. Based on the received respective measurements, respective feature vectors for the one or more input devices are generated and then inputted to a pre-defined regression model. Then, the source of activity is determined based on a result received from the regression model.

Determining source of interface interactions

Provided is a method, computer program product, and system for classifying a set of data items based on format organizations. A processor may determine at least one format organization of a set of data items. The format organization of a data item indicates a symbol type of at least one continuous symbol in the data item and a number of the at least one continuous symbol. The processor may determine at least one candidate data class for the set of data items from a plurality of predetermined data classes based on the at least one format organization. The processor may classify the set of data items into at least one target data class selected from the at least one candidate data class. In this way, the set of data items can be efficiently classified.

Data classification

A computer-implemented method includes: reading a vector of a first table in a database, the vector including counts of a plurality of keywords in the first table, the plurality of keywords including a first keyword and a second keyword; determining a first custom attribute describing the first table, the first custom attribute having a vector including counts of at least a first portion of the plurality of keywords in the first table; determining a multiplier of the first custom attribute, the multiplier being a number of other tables that reference the first custom attribute; and revising the vector of the first table based on the first custom attribute.

Data governance with custom attribute based asset association

A kind of filamentous turbine comprises a shell body and a rotor, the shell body is provided with a nozzle, the nozzle is used to eject gas into the shell body, the rotor which is arranged in the shell body comprises a rotor shaft, two fixing disks and a filamentous structure, the two fixing disks are mounted to the rotor shaft, the filamentous structure is mounted between the two fixing disk. The filamentous structure for this kind of filamentous turbine replaces the thin and circular disk of the traditional Tesla turbine, and the filamentous structure provides good integral rigidity and is not easy to deform, so that the rotor can be made larger in diameter, and the filamentous structure facilitates to reduce the machine noise.

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Baoji, China

Jian Ling Shi