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Procedural textures have been widely used as they can be easily generated from various mathematical models. However, the model parameters are not perceptually meaningful or uniform for non-expert users; therefore it is difficult for general users to obtain a desired texture by tuning the parameters. In order to satisfy users' requirement, we propose a novel procedural texture retrieval scheme that...
This paper designs and implements a new indoor location system based on a novel type of WIFI fingerprint by fully considering the interference of signals affected by different mobile orientation and user's body. Simulation results show that our method is better than traditional methods in the aspect of positioning accuracy and resolution.
Objective: Atopic dermatitis, also known as the "ectopic dermatitis", which is a kind of intense itching, chronic and recurrent skin disease. In recent years, numerous clinical studies have reported that acupuncture is effective for Atopic dermatitis. This paper aims to assess the clinical efficacy and safety of acupuncture in the treatment of Atopic dermatitis by a systematic review. Methods:...
Objective: To analyze the component law of Chinese medicines for gout by mutual information mining. Methods: Chinese medicine prescriptions for gout were collected and recorded in the database, and then the frequency analysis of herbs, correlation coefficient between herbs, core combinations of herbs were analyzed by using modified mutual information, complex system entropy cluster and unsupervised...
Objective: To analyze the component law of Chinese medicines for gout, and develop new prescriptions for gout through unsupervised data mining methods. Methods: Chinese medicine recipes for gout were collected and recorded in the database, and then the correlation coefficient between herbs, core combinations of herbs and new prescriptions were analyzed by using modified mutual information, complex...
Objective: To analyze the component law of Chinese medicines for knee osteoarthritis, and develop new prescriptions for knee osteoarthritis through unsupervised data mining methods. Methods: Chinese medicine recipes for knee osteoarthritis were collected and recorded in the database, and then the correlation coefficient between herbs, core combinations of herbs and new prescriptions were analyzed...
Objective: To analyze the distinguishing feature in use of Chinese drugs on cervical spondylosis patients in perimenopausal period through data mining methods. Methods: Chinese medicine recipes for cervical spondylosis patients in perimenopausal period were collected and recorded in the database, and then the correlation coefficient between herbs, core combinations of herbs were analyzed by using...
Objective: To analyze the component law of Chinese medicines for osteonecrosis of the femeral head, and develop new prescriptions for osteonecrosis of the femeral head through unsupervised data mining methods. Methods: Chinese medicine recipes for osteonecrosis of the femeral head were collected and recorded in the database, and then the correlation coefficient between herbs, core combinations of...
To analyze the component law of Chinese medicines for rheumatoid arthritis, and develop new prescriptions for rheumatoid arthritis through mutual Information mining methods. Chinese medicine recipes for rheumatoid arthritis were collected and recorded in the database, and then the correlation coefficient between herbs, core combinations of herbs and new prescriptions were analyzed by using modified...
To analyze the component law of Chinese medicines for ankylosing spondylitis, and develop new prescriptions for ankylosing spondylitis through mutual Information mining methods. Chinese medicine recipes for ankylosing spondylitis were collected and recorded in the database, and then the correlation coefficient between herbs, core combinations of herbs and new prescriptions were analyzed by using modified...
This paper proposes a code security inspection system based on the Subversion, which aims to avoid the submission of risk codes that contain vulnerabilities such as SQL injection, XSS (Cross Site Script) attacks and CSRF (Cross-site request forgery) to SVN repositories. In the proposed system, the submitted code will be scanned and checked and then the results will be sent to the SQA (Software Quality...
The personalized demands of contemporary college students has been increasing with the development of information technology in teaching of P.E, thus, how to provide students with personalized physical education (P.E) course has become particularly urgent. This paper starts with the analysis of college students' demands for P.E classes, proposes the concept of consulting system for university athletic...
Sequential mining is the process of applying data mining techniques to a sequential database for the purposes of discovering the correlation relationships that exist among an ordered list of events. An important application of sequential mining techniques is web usage mining, for mining web log accesses, which the sequences of web page accesses made by different web users over a period of time, through...
Sequential mining is the process of applying data mining techniques to a sequential database for the purposes of discovering the correlation relationships that exist among an ordered list of events. An important application of sequential mining techniques is Web usage mining, for mining Web log accesses, which the sequences of Web page accesses made by different Web users over a period of time, through...
A model of fish disease diagnosis was proposed by combining rough sets theory (RST) with classifier fusion. On the basis of the attribute reduction of RST, the remaining condition attributes were used for the inputs of individual classifiers and the decision attributes as the outputs. The application of ordered weighted averaging (OWA) operator as a classifier fusion approach has been adopted to combine...
In this paper, we propose a novel algorithm for face feature extraction, namely the cascade two-dimensional locality preserving projections (C2DLPP), which directly extracts the proper features from image matrices based on locality preserving criterion. Experiments on ORL and PIE face database are performed to test and evaluate the proposed algorithm. The results demonstrate the effectiveness of proposed...
In this paper, we propose a novel algorithm for face feature extraction, namely the bilateral two-dimensional principal component analysis (B2DPCA), which directly extracts the proper features from image matrices. As opposed to PCA, 2DPCA is based on 2D image matrices rather than 1D vector so the image matrix does not need to be transformed into a vector prior to feature extraction. Experiments on...
A novel face feature extraction method based on Bilateral Two-dimensional Principal Component Analysis (B2DPCA) and Kernel Discriminant Analysis (KDA) was presented in this paper. In this method, B2DPCA method directly extracts the proper features from image matrices at first, then the KDA was performed on the features to enhance discriminant power. As opposed to PCA, B2DPCA is based on 2D image matrices...
With the increase of the non-liner power loads and impact loads in power systems, the pollution of power quality is becoming more serious. It is important to put up multi-dimensional monitoring and construct monitoring network. In this paper the hardware and software scheme of a new power quality monitoring terminal based on configuration software is introduced in detail, which is applied to different...
There are problems during the construction of many quality course Web sites belong to one specialty, such as redundant construction, low practicability and different styles. According to these problems, the paper suggests to design an expandable Web site platform for these quality course clusters. The platform, which involves many courses, can customize and dynamically design a Web site more efficiently...
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