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Anomaly Detection for Environmental Data Using Machine Learning Regression
(Journal article; Peer reviewed, 2018)
Environmental data exhibits as huge amount and complex dependency. Utilizing
these data to detect anomaly is beneficial to the disaster prevention. Big data approach using
the machine learning method has the advantage not requiring the geophysical and geochemical
knowledge to detect anomaly. This paper using the popular support vector regression (SVR ) to
model the correlation between factors. ...
Endurance Test on Carbon Film Fixed Resistor under Escalated Voltage Stress
(Journal article; Peer reviewed; Tidsskriftartikkel, 2018)
Film fixed resistor is a basic unit in the electronic devices. As it is less frequently failed than other units such as capacitor, the reliability and robustness of it are less concerned both in the academics and in the industries. This paper investigates the endurance of the carbon film fixed resistor. The resistance shift and life of it under the escalated voltage stress level are the aim. A PCB ...
Multivariate analysis of Co, Fe and Ni leaching from tailings following simulated temperature change
(Journal article; Peer reviewed, 2018)
A series of column leaching experiments were performed to understand the leaching behavior of Co, Fe and Ni in Ballangen mine tailings. Multivariate statistical approaches to evaluate potential risk variations in leachate quality and identifies temperature effects on their leaching behavior. Results from column leaching test indicated that the mobility of showed higher temperature may encourage ...