• Journal of Digital Convergence
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• v.12 no.7
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• pp.239-245
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• 2014

In this paper, a weighted value wrinkle detection method is suggested based on the analysis on the entire facial features such as face contour, face size, eyes and ears. Firstly, the main facial elements are detected with AAM method entirely from the input screen images. Such elements are mainly composed of shape-based and appearance methods. These are used for learning the facial model and for matching the face from new screen images based on the learned models. Secondly, the face and background are separated in the screen image. Four points with the biggest possibilities for wrinkling are selected from the face and high wrinkle weighted values are assigned to them. Finally, the wrinkles are detected by applying Canny edge algorithm for the interested points of weighted value. The suggested algorithm adopts various screen images for experiment. The experiments display the excellent results of face and wrinkle detection in the most of the screen images.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.7
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• pp.233-240
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• 2022

Most of the recent AI researches has focused on developing AI models. However, recently, artificial intelligence research has gradually changed from model-centric to data-centric, and the importance of learning data is getting a lot of attention based on this trend. However, it takes a lot of time and effort because the preparation of learning data takes up a significant part of the entire process, and the generation of labeling data also differs depending on the purpose of development. Therefore, it is need to develop a tool with various labeling functions to solve the existing unmetneeds. In this paper, we describe a labeling system for creating precise and fast labeling data of medical images. To implement this, a semi-automatic method using Back Projection, Grabcut techniques and an automatic method predicted through a machine learning model were implemented. We not only showed the advantage of running time for the generation of labeling data of the proposed system, but also showed superiority through comparative evaluation of accuracy. In addition, by analyzing the image data set of about 1,000 patients, meaningful diagnostic indexes were presented for men and women in the diagnosis of sarcopenia.

• Journal of Sinology and China Studies
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• v.81
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• pp.85-112
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• 2019

Executioner Er Yi, writer A Lai's novel, was published in the Issue No. 1 in the magazine Flower City in 1997. The Dust Settles was finished in 1994 but was published in book form by People's Literature Publishing Company in 1998. The core point of Executioner Er Yi and The Dust Settles was who would be the next Tusi and who would grab the power. The common point that led the story was who the father Tusi would give his power to, first or second son. Accordingly, all three men, father and two sons, struggled for power in both works. In other words, around 'Tusi=Power', the power struggle among 'Gangtuo Tusi (father) and elder son and Pabasijia (second son)' and 'Maiqi Tusi (father) and Danzhengongbu (the first son) and the Fool(second son)' was the major events in the novels. Also, Monk Gongburenqin and Monk Wengboyisi disobeyed the authority of Tusi, who was an order-giver, and threatened to his power, so their tongues got cut. The headcutter(executioner) who obeyed his orders and was a slave, Er Yi (father) and Er Yi (his son) executed them.