A5101920897- Second Language Learning and Teaching
- Soil erosion and sediment transport
- Aeolian processes and effects
- Chinese history and philosophy
- Higher Education and Teaching Methods
- Medical Image Segmentation Techniques
- Data Management and Algorithms
- Advanced Database Systems and Queries
- Music and Audio Processing
- Image Processing and 3D Reconstruction
- Second Language Acquisition and Learning
- Music Technology and Sound Studies
- EFL/ESL Teaching and Learning
- Medical Research and Treatments
- Speech and Audio Processing
- Cerebrovascular and Carotid Artery Diseases
- Creativity in Education and Neuroscience
- Image and Object Detection Techniques
- Multimedia Communication and Technology
- Educational Technology and Assessment
- Art Education and Development
- Peer-to-Peer Network Technologies
- Brain Tumor Detection and Classification
- Digital Media and Visual Art
- Image and Video Stabilization
Beijing Normal University
2008-2023
Central China Normal University
2013
Harbin Institute of Technology
2011-2013
Zhongshan Hospital
2010
Daqing Normal University
2004
Novel and effective engines for data analysis in integrated information systems are urgently required by diverse applications, which massive business can be analyzed to enable the capturing of various situations real time. The performance existing has limited capacity processing distributed computing. Although Complex Event Processing (CEP) enhanced systems, it is still a big challenging task since events rapidly increasing applications. In this paper, lightweight intelligent system with...
Brain vessel segmentation is a fundamental component of cerebral disease screening systems. However, detecting vessels still challenging task owing to their complex appearance and thinning geometry as well the contrast decrease from root its thin branches. We present method for vasculature in Magnetic Resonance Angiography (MRA) images. First, we apply volume projection, 2D segmentation, back-projection procedures first stage background subtraction reservation. Those labeled or voxels are...
This paper proposes a method of retrieval music information by voice or whistling clip. The is based on the content file. Firstly, extract pitch as kind musical feature form digital clip file, and then fix smooth discrete data. Bring forward novel melody contour representation to depict properly. At last, adopt an improved LCS algorithm matching strings stored in database. proposed experimentally evaluated. evaluation result shows that could object more accurate.
Cardiovascular and cerebrovascular disease has become the number-one killer to human life in world We study design an aided diagnosis eHealth platform for detection with 3-tier architecture. The architecture three layers: User Interface Layer, Business Logic Layer Data Access Layer. employ several key technologies use a novel statistical segmentation algorithm particle swarm optimization segment cerebral vascular. apply multiscale enhancement dynamic balloon tracking (MSCAR-DBT) method heart...
This paper compares and studies the current College English Textbooks make an empirical research among college students.Based on result of their investigation, authors put forward several suggestions Textbooks: We should add some Chinese characteristics, humanities elements in our EFL textbooks teaching.Literary classics be adopted as well.Our convey greatest ideas, wisdom, culture to students.
Retargeting three-dimensional facial expressions is a hot issue in the field of computer science and technology, animation industry realistic social network. In this paper, we present retargeting method 3D through motion feature points based on Kinect. Firstly, use cheap device Microsoft Kinect to capture information automatically, build relatively detailed face model. Secondly, fast radial basis functions establish characteristic matrix, retarget point cloud from source model target model,...
In this paper, an effective acoustic signal processing method has been presented in research of Musical Information Retrieval (MIR). Firstly, the raw was pretreated by a adaptive wavelet soft-threshold gain factor and teager energy operator (AWSTD_GF&TEO), then it needs to extract fundamental frequency form it. Secondly, proposed new "cabinet" filter waveform, after that, waveform is available compared with one unfiltered, at last, implemented retrieval operations improved melody...