Micro Focus Lcc

Kennametal Inc.

Zhen Cui

Jin Wang

Zhu Jing Wu

Ruy Frota De Souza Filho

Jun Lu

Gang Chen

Nai-Long Wen

Jan Steube

Xin-yu Wang

Chun-hua Li

Hao Huang

Weiqing Guo

A computing device includes a processor and a machine-readable storage medium storing instructions. The instructions are executable by the processor to: receive input data defining an information technology (IT) change request; in response to a receipt of the input data, perform a first risk classification of the IT change request using a decision tree model; generate a graphical user interface based on the first risk classification, the graphical user interface indicating risk impacts for each of a plurality of request features, and the graphical user interface including a graphic representation of the decision tree model; in response to a user modification to a first request feature of the plurality of request features in the graphical user interface, automatically perform a second request analysis using the decision tree model; and automatically update the graphical user interface based on the second request analysis.

Risk classification of information technology change requests

A computing device includes a processor and a medium storing instructions. The instructions are executable by the processor to: in response to a receipt of an electronic request comprising one or more structured data fields and one or more unstructured data fields, identify a set of previous electronic requests using the one or more structured data fields of the received electronic request; train a probabilistic classification model using at least one structured data field of the identified set of previous electronic requests; execute the trained probabilistic classification model using the one or more unstructured data fields of the received electronic request; and automatically select a request handler using an output of the executed probabilistic classification model.

Automatic selection of request handler using trained classification model

In some examples, an apparatus for automated removal of noise in a frequency domain receives an image captured by an image sensor, converts at least a portion of the image into a frequency domain image, identifies a position in the frequency domain image, the position indicating a boundary between target content in the frequency domain image and noise in the frequency domain image, and removes content in the frequency domain image outside the boundary, to produce a noise-attenuated image.

Automated noise attenuation in frequency domains

A toolholder includes an absorber mass externally mounted to a body portion of the toolholder. A spacer is disposed within one or more recesses formed in a bottom wall of the absorber mass. One or more resilient members are disposed between the body portion and the absorber mass, and one or more resilient members are disposed between the absorber mass and the spacer. A clamping bolt passes through each spacer, through the absorber mass and is threaded into the body portion of the toolholder. A rigidity of the one or more resilient members can be selectively adjusted by the clamping bolts so as to tune the absorber mass for optimum dampening of vibration of the toolholder.

Toolholder with externally mounted tunable absorber mass

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Shanghai, China

Zhen Cui