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Machang, China

Tianjin Foreign Studies University is one of the renowned foreign studies universities in China. The institution is one of top 8 oldest China's foremost foreign language teaching universities. As a renowned teaching university, Tianjin Foreign Studies University specializes in foreign languages and cultures studies. Language concentrations include English, Japanese, German, French, Russian, Korean, Spanish, Portuguese, Swahili and Arabic. In particular, the university's English and Japanese programs are ranked among the top programs of its kind in the nation. The institution also offers classes in Chinese language and culture for foreign exchange students from other countries.The university is located at 117 Machang Road , on the northern extreme of Hexi District , bordering Heping District , which is one of the most famous historic tourist sites in China.Xiu Gang, who is an expert on Japanese, is the current president of the university. Wikipedia.

Liu C.,Tianjin Foreign Studies University | Liu J.,Tianjin University | Zhao Z.,Tianjin University
Advances in Information Sciences and Service Sciences | Year: 2012

To identify people's facial expressions, locating facial feature points in images of faces is an important stage such as inside corners. In this paper we present a method for fully automatic and quick detection of facial feature points in image sequences or videos using Gabor feature based boosted classifiers based on LK algorithm. There are many ways detecting face in complex background, we assume that the face has been identified. The detected face region is divided into several regions of interest, each of which contains one feature point or more. We selected several "best feature points" used LK algorithm in regions surrounding eyes. The proposed facial feature point detection method uses individual feature patch templates to detect points in these "best feature points". These feature models are GentleBoost templates built from both gray level intensities and Gabor wavelet features. After locating the coordinates of inside corners, we can outline the contours of upper eyelids basing on Canny algorithm. We tested our method with several videos, and the method has achieved a recognition rate of 95%. Source

Liu J.,Tianjin University | Liu C.,Tianjin Foreign Studies University | Zhao Z.,Tianjin University
Advances in Information Sciences and Service Sciences | Year: 2012

Different head movements can help us not only understand accurately whether the speaker in question is in favor of or against the current topic but also recognize human expressions better, i.e. distinguishing similar expressions such as smile and scorn. Since the movements of the feature point -- nostrils on the face and the movements of the head are almost the same, tracing the feature point with Lucas-Kanade(LK) algorithm we can find out the pattern of the head movements. We can train GentleBoost classifiers use the difference of coordinates of nostril in an image or a frame to identify the movement of the head, include nodding, shaking, bowing and turning aside. A number of tests have been conducted and the results have proved the accuracy, reliability and efficiency of the method of discussed in the paper. Source

Ruan W.-D.,Tianjin Medical University | Wang P.,Tianjin Medical University | Ma X.-L.,Tianjin Medical University | Ge R.P.,Tianjin Foreign Studies University | Zhou X.-H.,Tianjin Medical University
Chinese Journal of Traumatology - English Edition | Year: 2011

Objective: To explore the clinical characteristics and risk factors of refracture in patients suffering from osteoporosis-related fractures as well as effective interventions. Methods: From January 2006 to January 2008, both out-patients and in-patients in our hospital who were over 50 years old and suffered from osteoporosis-related fractures were selected for this research. They were divided into fracture group and refracture group. The refracture rate was followed up for 2 years, during which 11 patients developed refracture, thus were included in the refracture group. Therefore, 273 patients, 225 first-fracture cases, aged (67.7±8.5) years, and 48 refracture cases, aged (72.7±9.5) years, were included in this study. General data including age and sex, fracture types, femoral neck bone mineral density (BMD) T-scores tested by dual-energy X-rays absorptiometry (DEXA), Charlson index, time-frame between two fractures as well as mobility skill assessment were collected and analyzed by single-factor and multivariate statistical methods. Results: Females accounted for 70.2% of the fracture group and 77.1% of the refracture group. The most common refracture type was vertebral fracture for the first time and femoral neck fracture for the second time during the followup. The second fracture happened 3.7 years after the first one on average. The refracture rate was 2.12% within one year, and 4.66% within two years. Risk factors for a second fracture in osteoporotic fracture patients included age (>75 years, HR=1.23, 95%CI 1.18-1.29; >85 years, HR=1.68, 95% CI 1.60-1.76), female sex (HR=1.36, 95%CI 1.32-1.40), prior vertebral fractures (HR=1.62, 95%CI 1.01-2.07), prior hip fractures (HR=1.27, 95%CI 0.89-2.42), BMD T-score<-3.5 (HR=1.38, 95%CI 1.17-1.72) and weakened motor skills (HR=1.27, 95%CI 1.09-1.40). Conclusions: The risks of second fracture among patients with initial brittle fracture are substantial. There is adequate time between the first and second fractures for interventions to reduce the risks of refracture, especially for the old women with a vertebral or hip fracture. Medication, motor functional rehabilitation and fall-down prevention training are helpful. Source

Dong Y.,Tianjin Polytechnic University | Liu J.,Tianjin Foreign Studies University | Mei S.,Tsinghua University
Kybernetika | Year: 2013

The problem of observer design for a class of nonlinear discrete-time systems with timedelay is considered. A new approach of nonlinear observer design is proposed for the class of systems. Based on differential mean value theory, the error dynamic is transformed into linear parameter variable system. By using Lyapunov stability theory and Schur complement lemma, the sufficient conditions expressed in terms of matrix inequalities are obtained to guarantee the observer error converges asymptotically to zero. Furthermore, the problem of observer design with affine gain is investigated. The computing method for observer gain matrix is given and it is also demonstrated that the observer error converges asymptotically to zero. Finally, an illustrative example is given to validate the effectiveness of the proposed method. Source

Zhou M.,Tianjin University | Zhou M.,University of Reading | Zhou M.,Tianjin Foreign Studies University | Wang X.,Tianjin University
Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering | Year: 2011

The localization on facial features is needed for face recognition since it helps keeping accordance between face images and building face model. In this paper, a novel method for locating facial features was presented which included two steps: filtering and clustering. Face images were firstly processed by Gabor filter into magnitude responses. In the responses, facial features demonstrated relatively high magnitude responses than other facial parts, such as cheek and forehead. By reserving high magnitude responses and removing low magnitude responses, the pixel points belonging to facial features were collected. The method adopted a clustering approach-k-means for separating pixel points into different clusters. Each cluster represented a facial feature. By testing on the ORL face database, the method shows its accuracy and speed on locating facial features, such as eyes, nose and mouth. It also exhibits high robustness in locating features on faces which have thick beard or mustache. Source

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