The paper considers the task of increasing durability and safe operation device by eliminating resonant beat vibration equipment during starting torque. During automobiles, contaminants form on surface individual parts assemblies, their high-quality cleaning is achieved chemical mechanical action these contaminants. use more active chemicals costly pollutes environment. Therefore, it desirable ...

Fuel is one of the tools to drive machining system that moves from fuel tank engine. Although there are several areas have switched using electric vehicles, vehicles use oil still dominate public in various countries. The purpose this research identify causes a dirty filter an auto repair shop. methods used analysis Failure Mode and Effect Analysis (FMEA) fishbone diagram analysis. Based on res...

OpenTuner can help users achieve better or more portable performance in their speci c domain through program autotuning. A key challenge for users seeking good autotuning performance in OpenTuner is selecting a search approach appropriate for problem. However, not only are current in-situ learning search approaches not robust enough to handle all search spaces, but there are also too many possi...

A fracture mechanics model was developed, and experimentally verified, to model stress wave repair of stiction-failed microcantilevers. This model allows us to predict accurately the number of laser pulses, at a specific fluence and wavelength, required to fully repair stiction-failed microcantilevers. The proposed fracture mechanics model includes the strain energy stored in a stiction-failed ...

OpenTuner can help users achieve better or more portable performance in their speci c domain through program autotuning. A key challenge for users seeking good autotuning performance in OpenTuner is selecting a search approach appropriate for problem. However, not only are current in-situ learning search approaches not robust enough to handle all search spaces, but there are also too many possi...

The process of empirical autotuning results in the generation of many code variants which are tested, found to be suboptimal, and discarded. By retaining annotated performance profiles of each variant tested over the course of many autotuning runs of the same code across different hardware environments and different input datasets, we can apply machine learning algorithms to generate classifier...