2D fast-ion velocity-space distributions have been reconstructed from two-view fast-ion D-alpha(FIDA)measurements on experimental advanced superconducting tokamak(EAST).To make up for the sparse data and incomplete ve...2D fast-ion velocity-space distributions have been reconstructed from two-view fast-ion D-alpha(FIDA)measurements on experimental advanced superconducting tokamak(EAST).To make up for the sparse data and incomplete velocity-space coverage with the dual-view,we use nonnegativity and null-measurements as prior information to reconstruct the velocity distribution in experiments with co-and counter-current neutral beam injection.An improved reconstructed fast-ion distribution is achieved by combining the existing O-and B-port FIDA measurements with the proposed A-port FIDA view.To further improve the reliability of FIDA-based reconstructions on EAST,based on real multi-view FIDA measurements on EAST in the near future,various bases will be studied further.展开更多
Die Thebais des Statius ist ein umfangreiches lateinisches Epos aus dem1.Jahrhundert v.Chr.mit rund zehntausend Hexametem in zwolfBüchem über den Kampf um Theben.Bei diesem Umfang nimmt es nichtwunder,wenn i...Die Thebais des Statius ist ein umfangreiches lateinisches Epos aus dem1.Jahrhundert v.Chr.mit rund zehntausend Hexametem in zwolfBüchem über den Kampf um Theben.Bei diesem Umfang nimmt es nichtwunder,wenn in die fortlaufende Erzahlung auch Einlagen eingefügt sind,die anderes mythisches Gut zum Inhalt haben.Die Frage stellt sich leicht,ob diese Digressionen das Werk im ganzen bereichern oder es belasten.展开更多
False data injection attacks (FIDAs) against state estimation in power system are a problem that could not be effectively solved by traditional methods. In this paper, we use four outlier detection methods, namely one...False data injection attacks (FIDAs) against state estimation in power system are a problem that could not be effectively solved by traditional methods. In this paper, we use four outlier detection methods, namely one-Class SVM, Robust covariance, Isolation forest and Local outlier factor method from machine learning area in IEEE14 simulation platform for test and compare their performance. The accuracy and precision were estimated through simulation to observe the classification effect.展开更多
基金supported by National Natural Science Foundation of China(No.11975276)Anhui Provincial Natural Science Foundation(No.2008085J04)+3 种基金Anhui Provincial Key R&D Programmes(No.202104b11020003)the National Key Research and Development Program of China(No.2019YFE03020004)the Excellence Program of Hefei Science Center CAS(No.2021HSC-UE015)。
文摘2D fast-ion velocity-space distributions have been reconstructed from two-view fast-ion D-alpha(FIDA)measurements on experimental advanced superconducting tokamak(EAST).To make up for the sparse data and incomplete velocity-space coverage with the dual-view,we use nonnegativity and null-measurements as prior information to reconstruct the velocity distribution in experiments with co-and counter-current neutral beam injection.An improved reconstructed fast-ion distribution is achieved by combining the existing O-and B-port FIDA measurements with the proposed A-port FIDA view.To further improve the reliability of FIDA-based reconstructions on EAST,based on real multi-view FIDA measurements on EAST in the near future,various bases will be studied further.
文摘Die Thebais des Statius ist ein umfangreiches lateinisches Epos aus dem1.Jahrhundert v.Chr.mit rund zehntausend Hexametem in zwolfBüchem über den Kampf um Theben.Bei diesem Umfang nimmt es nichtwunder,wenn in die fortlaufende Erzahlung auch Einlagen eingefügt sind,die anderes mythisches Gut zum Inhalt haben.Die Frage stellt sich leicht,ob diese Digressionen das Werk im ganzen bereichern oder es belasten.
文摘False data injection attacks (FIDAs) against state estimation in power system are a problem that could not be effectively solved by traditional methods. In this paper, we use four outlier detection methods, namely one-Class SVM, Robust covariance, Isolation forest and Local outlier factor method from machine learning area in IEEE14 simulation platform for test and compare their performance. The accuracy and precision were estimated through simulation to observe the classification effect.
