Observing palm is one of diagnosis methods in Traditional Chinese Medicine and HolographicMedicine. Generally, the shape, color, ridge and line features of palm are all important for palm diagnosis. As thefirst attemp...Observing palm is one of diagnosis methods in Traditional Chinese Medicine and HolographicMedicine. Generally, the shape, color, ridge and line features of palm are all important for palm diagnosis. As thefirst attempt for automated palm diagnosis, the color is used and a new statistical feature of color, moment feature, isdefined in this paper. Multi-central dynamic clustering algorithm based on our new feature is proposed to recognizecancerous palm images. Applying our approach to the images in the palm database including all kinds of pathologicaland healthy palm images, the experimental results indicate that it is effective to recognize cancerous palm images andsuperior over the K-mean algorithm.展开更多
In this paper the decision network model of congestion control of communication network is presented and simulation of this model is conducted by software. At last this model is applied in man-agement of telecommunica...In this paper the decision network model of congestion control of communication network is presented and simulation of this model is conducted by software. At last this model is applied in man-agement of telecommunication network and the decision of congestion control strategies can be effective-ly obtained.展开更多
文摘Observing palm is one of diagnosis methods in Traditional Chinese Medicine and HolographicMedicine. Generally, the shape, color, ridge and line features of palm are all important for palm diagnosis. As thefirst attempt for automated palm diagnosis, the color is used and a new statistical feature of color, moment feature, isdefined in this paper. Multi-central dynamic clustering algorithm based on our new feature is proposed to recognizecancerous palm images. Applying our approach to the images in the palm database including all kinds of pathologicaland healthy palm images, the experimental results indicate that it is effective to recognize cancerous palm images andsuperior over the K-mean algorithm.
文摘In this paper the decision network model of congestion control of communication network is presented and simulation of this model is conducted by software. At last this model is applied in man-agement of telecommunication network and the decision of congestion control strategies can be effective-ly obtained.
