Traditional Chinese Medicine (TCM) constitution is a fundamental concept in TCM theory. It is determined by multimodal TCM clinical features which, in turn, are obtained from TCM clinical information of image (face, tongue, etc.), audio (pulse and voice), and text (inquiry) modality.
The auto assessment of TCM constitution is faced with two major challenges: (1) learning discriminative TCM clinical feature representations; (2) jointly processing the features using multimodal fusion techniques. The TCM Constitution Assessment System (TCM-CAS) is proposed to provide an end-to-end solution to this task, along with auxiliary functions to aid TCM researchers. To improve the results of TCM constitution prediction, the system combines multiple machine learning algorithms such as facial landmark detection, image segmentation, graph neural networks and multimodal fusion.
Extensive experiments are conducted on a four-category multimodal TCM constitution dataset, and the proposed method achieves state-of-the-art accuracy. Provided with datasets containing annotations of diseases, the system can also perform automatic disease diagnosis from a TCM perspective.
This paper presents the implementation of CETPayment system which is an online payment system against CET (College English test). Hierarchical design is used to increase the flexibility of the system development. Althrough the workload of system design and implementation increased significantly, it can respond to rapidly changing business needs. Because of the use of hierarchical design, the system can be modified and adjusted quickly when it faced two major adjustments in the business logic. LINQ to SQL is used to make the system development process more automatic and effective, and avoid SQL injection attacks. A third-party payment company is chosen to process the payment requests of the candidates. A synchronous Reconciliation strategy is used to solve the problem of "single out". CET-CETPayment system can effectively reduce the work pressure of exam organization and management.
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