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Argonne and Parallel Works Win Highest Honor from Federal Laboratory Consortium

Argonne and Parallel Works Win Highest Honor from Federal Laboratory Consortium
hpcwire.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from hpcwire.com Daily Mail and Mail on Sunday newspapers.

United States , University Of Illinois , Matthew Shaxted , Michela Wilde , Michael Wilde , Opeoluwa Owoyele , Pinaki Pal , Greg Halder , Suresh Sunderrajan , Department Of Energy , Works Inc , Technology Commercialization Fund , Us Department Of Energy , Argonne Center , Renewable Energy , Laboratory Consortium , National Meeting , Vehicle Technologies Office , Energy Technologies , Argonne National Laboratory , National Award For Excellence , Office Of Energy Efficiency , Parallel Works , National Award , Technology Transfer , Machine Learning ,

Argonne and Parallel Works win highest honor from Federal Laboratory Consortium for Excellence in Technology Transfer

Argonne and Parallel Works win highest honor from Federal Laboratory Consortium for Excellence in Technology Transfer
anl.gov - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from anl.gov Daily Mail and Mail on Sunday newspapers.

United States , University Of Illinois , Matthew Shaxted , Michela Wilde , Michael Wilde , Opeoluwa Owoyele , Pinaki Pal , Greg Halder , Suresh Sunderrajan , Department Of Energy , Works Inc , Technology Commercialization Fund , Us Department Of Energy , Argonne Center , Renewable Energy , Laboratory Consortium , National Meeting , Vehicle Technologies Office , Energy Technologies , Argonne National Laboratory , National Award For Excellence , Office Of Energy Efficiency , Parallel Works , National Award , Technology Transfer , Machine Learning ,

"Human Activity Recognition Based on Wavelet-Based Features along with " by Mahmudul Hasan Abid, Abdullah Al Nahid et al.

Activity recognition from human action data is quite a challenging task in the biomedical data science community. The main challenge in dealing with human activity recognition (HAR) datasets is their high cardinality. Therefore, reducing cardinality is a cardinal area of research in the HAR field. In this research, reducing the data dimensionality by utilizing future selection methods has been used. This research work has extracted features using wavelet packet transform (WPT) and the cardinality of the feature set has been reduced by using the Genetic Algorithm (GA) technique. The selected features also have been ranked according to their importance based on their SHAP values. In the venture, an interesting inspection has been found. That is in HAR datasets, signal values lay into lower frequency regions mostly. The highest accuracy and f1-score which have been got are 94.74%, 94.73%, and 89.98%, 89.67% for the feature extracted and feature selected dataset respectively. ....

Genetic Algorithm , Feature Extraction , Feature Selection , Genetic Algorithm ,

Modelling of autogenerative high-pressure anaerobic digestion in a batch reactor for the production of pressurised biogas | Biotechnology for Biofuels and Bioproducts

Pressurised anaerobic digestion allows the production of biogas with a high content of methane and, at the same time, avoid the energy costs for the biogas upgrading and injection into the distribution grid. The technology carries potential, but the research faces practical constraints by a.o. the capital investment needed in high-pressure reactors and sensors and associated sampling limitations. In this work, the kinetic model of an autogenerative high-pressure anaerobic digestion of acetate, as the representative compound of the aceticlastic methanogenesis route, in batch configuration, is proposed to predict the dynamic performance of pressurised digesters and support future experimental work. The modelling of autogenerative high-pressure anaerobic digestion in batch configuration, which is not extensively studied and simulated in the present literature, was developed, calibrated, and validated by using experimental results available from the literature. Under high-pressure conditio ....

European Committee Of Standardization , European Union , European Committee , Genetic Algorithm , Anaerobic Digestion Model ,

Nexen Tire develops tire performance prediction system using AI technology

Through the virtual design system, Nexen Tire's cutting-edge technology ensures the capacity to develop tires with the optimum performanceSEOUL, South Korea, Feb. 15, 2022 (GLOBE NEWSWIRE) Nexen Tire ....

Soult Ukpyolsi , South Korea , Czech Republic , South Korean , Chun Lee , Kostenloser Wertpapierhandel , Seong Rae Kim , Virtual Product Development System , Korea University , Rd Institute , Hanyang University , Nexen Tire , Artificial Intelligence , Finite Element Analysis , Virtual Product Development , Genetic Algorithm , Brain Loop System , Seoung Bum Kim , Professor Ki Chun Lee ,