Abstract: A method and a server for providing online collaborative learning using a social network service are disclosed. The server for providing online collaborative learning comprises a category classification unit configured to classify learning information collected from a social network service SNS according to a category and store the collected learning information, a news extracting unit configured to extract learning information corresponding to query received from a learner terminal from the stored learning information and perform scoring about the extracted learning information according to preset reference, and a treemapping unit configured to determine a size of a specific shape in which the extracted learning information is visualized and provide the learning information visualized in the specific shape having the determined size to the learner terminal, the size being in proportion to a score corresponding to the scoring.

Abstract: A method for classifying a plant leaf by utilizing the feature points of venation has been developed. A sample image of the venation can be extracted by utilizing a Curvature Scale Space (CSS) Corner Detection Algorithm. The sample image is treated to thicken the venation and increase the contrast through the retrieval unit prior to applying the Canny Edge Detection technology. The feature point, Branching Point and End Point is detected at each point where the calculated curvature angle is a local maximum. The distribution of the feature points of the extracted venation is calculated by applying a Parzen Window non-parametric estimation method.