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In this paper, the EMI (Electro-Magnetic Interference) noise caused by the switching of the Superjunction DMOS in the flyback converter system is investigated. It is found that the radiation noise during the turn-on process is more severe than that during the turn-off process, and the turn-on behavior is not just affected by the CGS (gate source capacitance) and RG (gate driving resistance). To prove...
HPV DNA testing is receiving increasing popularity in cervical cancer screening. There is a lack of universal guidelines on HPV testing. Our study aimed to assess age‐specific and year‐on‐year trend of HPV positivity and incidence and HPV retesting among 26,457 individual women attending the gynecological department at the First People's Hospital of Yunnan Province (FPHY) who had an HPV testing between...
In recent years, professionals in different fields have become able to do programming by using simplified software tools, as a consequence of this they are becoming able to understand programming in a general or “panoramic” way. This understanding is not evaluated by current programming abilities testing methods such as written paper tests or practical programming. This paper proposes a Programmed...
An eccentric paddle locomotion mechanism (ePaddle) was proposed to enhance the mobility of amphibious robots for multi-terrains tasks. There are several feasible terrestrial and aquatic gaits for an ePaddle-based robot. In this paper, we present the method for modelling thrust in one of the aquatic gaits, namely the oscillating-paddling gait, for an ePaddle mechanism. The conception of the oscillating-paddling...
In this paper, we develop an effective framework to predict in-hospital mortality (IHM) during an intensive care unit (ICU) stay, on the basis of specific medical variables. This work involves both binary mortality predictions and mortality risk estimates, corresponding to Event-1 and Event-2 of the Computing in Cardiology (CinC) Challenge 2012. Our proposed framework contains 1) feature extraction...
In this paper, we present a novel method to detect violent scenes in movies. The detection process involves two views-audio and video views. For the audio view, a supervised method based on HCRFs is exploited to improve the classification performance. For the video view, we detect violent shots by locating the violent areas. Finally, the auditory and visual classifiers are combined in a co-training...
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