International Business Machines Corporation

Jayapreetha Natesan

Natesan Venkateswaran

Chanchal Saha

Michael Lapointe

John G Torok

Matteo Cocchini

Michael Cracraft

Gerald Stanquist

Jason Hirst

Rajaram B Krishnamurthy

Brian Robert Prasky

Yuk Lung Chan

K Paul Muller

Richard Burton Finch

Carlos A Hoyos

Raquel Norel

Thomas Ward

Kanayo Okonji

Chon N Lei

Brad Hoover

Adam Benjamin Childers

Susan Shumway

Chunming Lin

Abuchi Obiegbu

Loic Fura

Joseph Gentile

Olayinka Adesanya

Sumant Singh Rana

A computer-implemented method, computer program product and computer system are provided. A processor retrieves instructions for a plurality of processes. A processor generates a sample of the instructions for the plurality of processes. A processor determines a probability that the sample includes instructions from malicious processes. A processor, in response to the probability exceeding a threshold value, restricts one or more aspects of operation for at least one process of the plurality of processes.

Workload pattern detection

A method, system, and computer program product algorithmically analyzes scoring data from a competitive event where the scoring, determined by a plurality of evaluators, is based on subjective criteria. The method receives, and/or determines a scale factor associated with each evaluator. The method adjusts scores awarded by each evaluator, based on respectively corresponding scale factors, to arrive at normalized scores. The method, thereby minimizes influences of biases associated with the evaluators.

Detecting and removing bias in subjective judging

Systems and methods for content based routing are provided. Aspects include receiving, by a processor, a request to save a file. Analyzing, by the processor, data associated with the file. Determining one or more file save locations for the file based on a feature vector, generated by a machine learning model, comprising a plurality of features extracted from the data associated with the file and presenting the one or more file save locations to a user.

Content based recommendations of file system save locations

Methods, systems, and computer program products for placement of objects in a loading space are provided. Aspects include determining item data for a plurality of items, determining space data for a loading space, generating an optimized configuration for placement of the plurality of items in the loading space comprising determining one or more geometric representations for each item in the plurality of items, wherein the one or more geometric representations for each item are coupled together, determining, by an algorithm, a location in the loading space for each item in the plurality of items based on the one or more geometric representations for each item and the space data, and displaying, by a display, the optimized configuration comprising an image of each item of the plurality of items overlaid on corresponding locations in an image of the loading space.

Floor planning and placement of objects in a loading space

An embodiment of the invention may include a method, computer program product and system for operating an electronic display device. An embodiment may include displaying, using a first refresh rate, first content on a first partition of a display area of the electronic display device. An embodiment may include displaying, using a second refresh rate, second content on a second partition of the display area of the electronic display device. The first refresh rate is different from the second refresh rate.

Screen capture prevention

Embodiments of the present invention provide a computer-implemented method for generating test plans based on test failure root causes or symptoms. The method generates a heat map of manufacturing process test failures based at least in part on historical test failures and prior repair actions. A database is searched for test failure records that are relevant to user input. Relevant test failure records are prioritized via an index score that is assigned based at least in part on proximity of the relevant test failure records to the user input. Failure records that have an index score that is higher than a threshold value are detected. Unstructured text data of each of the detected failure records is analyzed to identify relevant keywords and relevancy rates. A test solution priority list is displayed, via a GUI, in a window or view that is separate from the heat map.

Cognitive manufacturing systems test repair action

A structure and method of facilitating testing of an electronic device (device under test or DUT) using a non-permanent and reusable structure to terminate contact pads and contact pin holes on a surface of the DUT.

Non-permanent termination structure for microprobe measurements

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Hopewell Junction, NY, United States of America

Jayapreetha Natesan