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Wind energy is growing to be one of main sources of renewable energy. As the operational and maintenance costs of wind turbines are adversely affected by the occurrence of faults, the early detection of potential faults can help reduce such costs. In this study, we propose a method for detecting potential faults sooner and identifying the probable variables contributing to the faults over a certain...
Human motion detection based on CSI (Channel State Information) is a hot research topic. Many researchers started to focus on it. In this paper, we employ the CSI to detect fall behavior. Firstly, a data weighting operation to smooth the noise will be implemented. Secondly, we extract behaviors data by effect size. Thirdly, several features will be extracted to represent the original data. Finally,...
Yellow (stripe) rust Puccinia striiformis has caused severe losses on wheat in yield and grain quality in China. As the largest land area devoted to wheat production, China has also the largest area prone to yellow rust epidemics. Traditionally, the disease assessment was visually investigated in the field by experienced farmers or pathologists. The emergency of hyperspectral measurements has distinct...
In this work, a new glass classification method is proposed. Firstly, images are enhanced by image preprocessing. Secondly, a series of glass features including shape and texture features are proposed. Finally, we employ simple minimum distance classifier to classify the input glass images. The experimental results show that the proposed method has high classification efficiency and accuracy.
This work proposed a unified view of several unsupervised feature selection based on frequent strings that improve conditional random fields (CRF) model for Chinese word segmentation (CWS). These features include character-based n-gram (CNG), accessor variety based string (AVS), term-contributed frequency (TCF), and term-contributed boundary (TCB), with a specific manner of boundary overlapping. For...
In this article, we describe a system that estimates the position and orientation of a calibrated camera. For better estimation accuracy, artificial markers made up of infrared LEDs are placed in certain pattern onto the ceiling of a room. A 3D reconstruction process is first performed offline so that the coordinates of all LEDs within a unified world frame are determined. This process, based on incremental...
Distance learning is a learning style that can overcome the limitation of time and space. Because of the distance, teachers can not assess the achievement of affective domain teaching goal. If teachers can know the student's affective state through the learning system, they can overcome the difficult. The research applies the image recognition technologies to capture the face images of students and...
Learner attention affects learning efficiency. However, in many classes, teachers cannot assess the degree of attention of every student. When a teacher is capable of addressing inattentive students immediately, he can avoid situations in which students are inattentive. Many studies have analyzed student attentiveness by the applying of image detection technologies. If this mechanism can be applied...
The goal of surface simplification is to reduce the number of triangles in 3D models, while maintaining quality. However, surface simplification can easily destroy the contour features of the original surface. The proposed method exploits the contour geometric characteristics of the surface, using a Shape Operator, to preserve the contour features, reduce the simplification-induced errors, and maintain...
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