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Objective
The aims of this study were (i) to investigate the diagnostic accuracy of Papanicolaou (Pap) smears and (ii) to evaluate the clinicopathological significance of the presence of low‐grade squamous intraepithelial lesion (LSIL) cells in atypical squamous cells cannot exclude high‐grade squamous intraepithelial lesion (HSIL) (ASC‐H) cytology.
Methods
We retrospectively reviewed paired cytological...
In this study, we investigate the use of a Fuzzy C-Means Clustering based Neural Network (FNN) classifier in problems of emotion classification. The proposed classifier model consists of three layers, namely, input, hidden and output layers. Here, fuzzy c-means clustering method, two types of polynomial and linear combination function are used as a kernel function in the input layer, the hidden layer...
In human-computer interaction researches, emotion recognition systems based on physiological signals have introduced. This study was to identify the optimal emotion recognition algorithm for classification of seven emotional states (happiness, sadness, anger, fear, disgust, surprise, and stress) using physiological signals. 12 college students participated in this experiment over 10 times. To induce...
Recently, the most popular research in the field of emotion recognition on human-computer interaction is to recognize human's feeling using various physiological signals. In the psycho-physiological research, it is known that there is strong correlation between human emotion state and physiological reaction. In this study, seven kinds of emotion (happiness, sadness, anger, fear, disgust, surprise,...
An all-digital multiphase DLL is presented that is robust to delay mismatch due to process variation. Each of four 90° phase shift blocks accurately align each phase to 90° delay using its own ring oscillator and locking delay code. Harmonic locking is protected by a ring oscillator and a counter. An area efficient binary to thermometer converter is proposed to diminish the area overhead due to four...
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