scholarly journals Noise Adaptation and Threshold Determination in Image Contour Recognition Method Based on Complex Network

2013 ◽  
Vol 6 (11) ◽  
pp. 2003-2011
Author(s):  
Tang Xiao ◽  
Wang Yin-He ◽  
Wang Qin-Ruo
2013 ◽  
Vol 13 (10) ◽  
pp. 1847-1850
Author(s):  
Shao Fei ◽  
Wang Xiaoyi ◽  
Shi Yan ◽  
Xu Jiping ◽  
Sheng Lu ◽  
...  

Author(s):  
Barna Reskó ◽  
◽  
Zoltán Petres ◽  
András Róka ◽  
Péter Baranyi

The present paper proposes a model for intelligent image contour detection. The model is strongly based on the architecture and functionality of the mammalian visual cortex. A pixel-to-feature transformation is performed on the input image, the result of which is a set of abstract image features, instead of another set of pixels. The contouring task is performed by a vast and complex network of simple units of computation that work together in a parallel way. The use of a large number of such simple units allows a clear structure that can be implemented on a special hardware to allow constant time computation.


2013 ◽  
Vol 273 ◽  
pp. 250-254
Author(s):  
Yang Pan ◽  
An Hua Chen ◽  
Ling Li Jiang

According to the selection difficulties of initial clustering center of k-means clustering algorithm, this paper proposes a method that is to use complex network degree to improve k-means clustering algorithm for fault pattern recognition method, and to improve the accuracy of clustering. Use network to represent fault data structure, with joint connecting matrix to express similarity between nodes, according to the complex concepts of networks degree, calculate the size of every node degree, and select the maximum degree of node as k-means clustering initial center. This method is applied to the rolling bearing clustering diagnosis example, achieving good fault diagnosis effect. This study provides a new method for the selection of initial cluster centers of K-means clustering.


2019 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Yuli Anwar

Revenue and cost recognitions is the most important thing to be done by an entity,  time and the recognition method must be based on the rules from Financial Accounting Standards. Revenue and cost recognition which is done by PT. EMKL Jelutung Subur located on Pangkalpinang, Bangka Belitung province is done by using the accrual basis, and it can be seen with its influences to company profits every year.  This research is useful to get a data and information for preparing this thesis and improving my knowledge and also for comparing between theories accepted against facts applied in the field.  The result of this research shows that PT. EMKL Jelutung Subur has implemented one of the revenue and cost recognition method (accrual basis) continually, so that profit accuracy is accountable to be used for developing this kind of expedition business in order to become a better company. The accuracy is evaluated because all revenues received and cost spent  have clear evidence and found in the period of time.  The evaluation shows there is one thing that miss from revenue and cost recognition done by PT. EMKL Jelutung Subur, that is charge to the customers who use the storage service temporary, because some customers keep their goods for a long time in the warehouse, and it will increase the costs of loading, warehouse maintenance, damaged goods and decreasing a quantity of goods. If the storage service is charged to the customers, PT. EMKL Jelutung Subur will earn additional revenue to cover all the expenses above


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