• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.983-987
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• 2009

The color is silent language. As the cinematography modeling of art color of film of one of element even is that a synthetical special language systematic.The color of film is very symbolic. The symbolism of color is to express in metaphor some sort of rationality and concept with some color. Now a lot of directors are obsessed with the use of color to express the symbolic meaning. Gradually, the color goes beyond the form of natural material and ascends in appearance to a kind of significant and meaningful modeling element. Thus the color's symbolic meaning has become an essential element in the color and function of the film. The paper analyzes the applications of color in films by use of the well-known director Zhang Yimou's film such as "Hero" and Michelangelo Antonioni's film "Red desert"; and then makes"Hero" with the "Red desert" in order to explain different applications and expressing practices of colors in the film and reflect the significance of color as a unique expressing language in the film.

• Korean Journal of Cognitive Science
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• v.23 no.3
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• pp.295-322
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• 2012

In this paper, we cluster similar word senses applying vector space model and HAL (Hyperspace Analog to Language). HAL measures corelation among words through a certain size of context (Lund and Burgess 1996). The similarity measurement between a word pair is cosine similarity based on the vector space model, which reduces distortion of space between high frequency words and low frequency words (Salton et al. 1975, Widdows 2004). We use PCA (Principal Component Analysis) and SVD (Singular Value Decomposition) to reduce a large amount of dimensions caused by similarity matrix. For sense similarity clustering, we adopt supervised and non-supervised learning methods. For non-supervised method, we use clustering. For supervised method, we use SVM (Support Vector Machine), Naive Bayes Classifier, and Maximum Entropy Method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.735-737
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• 2015

In this paper, SaaS (Software as a Service) based transport and construction process safety management systems by utilizing the construction work process management and safety management and schedule, and results for various types of construction process, achieved through high-speed wireless Internet access by applying to ensure a systematic means for safety and can quickly and accurately manage all made within the process control system. The operator should be indicated by using a smart phone to work as a supervisor report the current status and results of the operation. Also be reported to the supervisor immediately in an emergency situation and there is no vibration occurs over a period of time the smartphone is to check the danger to the operator. If the commissioner is directed to specific business processes that establish and verify the results obtained and the result is satisfied by presenting the part down the measures insufficient command of the field workers risk situations. In the case of software (server) to store all the data relating to the operation member in charge of management and security.

• Journal of the Korean Society for information Management
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• v.31 no.4
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• pp.161-178
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• 2014

Recently, many information services allow users to collaborate to produce and use information. Sharing information is also important for users who have similar taste or interest. As various channels are available for users to share their experiences and knowledge, users' data have also been accumulated within the information services. This study collected movie lists made by users of IMDB service. Co-word analysis and ego-centered network analysis were adapted to discover relevant information for users who chose a specific movie. Three factors of movies including movie title, director and genre were used to present related movie information. Movie title is an effective feature to present related movies with various aspects such as theme or characters and the popularity of directors affects on identifying related directors. Genre is not useful to find related movies due to the complexity in the topic of a movie.

• Journal of the Korean Society for information Management
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• v.25 no.3
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• pp.273-296
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• 2008

This study conducted meta-analysis of librarians' job satisfaction using the Hedges & Olkin's Effect Size Model. Sex and Marrage as group variables, and Total Satisfaction and 7 sub-variables(Work Itself, Salary, Promotion, Supervision, Working Conditions, Social Recognition, Self-actualization) as dependent variables were selected from 27 studies. The effect sizes between men and women were significantly different on Supervision, Working conditions, Promotion, and Social Recognition, of which first two were homogeneous. But the difference of Social Recognition was not significant in Random Effect Model. The effect sizes difference between married and unmarried were significant on Self Recognition, Salary, and Work Itself. However the difference of Work Itself was not significant in Random Effect Model. Study Year could not be a moderator.

• Journal of KIISE
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• v.43 no.2
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• pp.269-274
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• 2016

Named entity recognition is a process which extracts named entities in sentences and determines categories of the named entities. Previous studies on named entity recognition have primarily been used for supervised learning. For supervised learning, a large training corpus manually annotated with named entity categories is needed, and it is a time-consuming and labor-intensive job to manually construct a large training corpus. We propose a semi-supervised learning method to minimize the cost needed for training corpus construction and to rapidly enhance the performance of named entity recognition. The proposed method uses distance supervision for the construction of the initial training corpus. It can then effectively remove noise sentences in the initial training corpus through the use of an active bagging method, an ensemble method of bagging and active learning. In the experiments, the proposed method improved the F1-score of named entity recognition from 67.36% to 76.42% after active bagging for 15 times.

• Journal of the Institute of Convergence Signal Processing
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• v.8 no.3
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• pp.185-191
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• 2007

Remote sensing images are multispectral image data collected from several band divided by wavelength ranges. The classification of remote sensing images is the method of classifying what has similar spectral characteristics together among each pixel composing an image as the important algorithm in this field. This paper presents a pattern classification method of remote sensing images by applying a possibilistic fuzzy c-means (PFCM) algorithm. The PFCM algorithm is a hybridization of a FCM algorithm, which adopts membership degree depending on the distance between data and the center of a certain cluster, combined with a PCM algorithm, which considers class typicality of the pattern sets. In this proposed method, we select the training data for each class and perform supervised classification using the PFCM algorithm with spectral signatures of the training data. The application of the PFCM algorithm is tested and verified by using Landsat TM and IKONOS remote sensing satellite images. As a result, the overall accuracy showed a better results than the FCM, PCM algorithm or conventional maximum likelihood classification(MLC) algorithm.

• Journal of Gifted/Talented Education
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• v.18 no.3
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• pp.613-634
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• 2008

This Study focused on understanding the relationship between the child ren's thinking ability which is based on the genius and the parenting attitude according to their level of age. There were 401subjects including mothers and their children who lived in Seoul city ages from four to six. The Raven CPM testing method for children and the parenting attitude test were used as research tools. Subcategories of the parenting attitude test consisted of the supportive expression, the rational explanation, the achievement press, high involvement, punishment, superintendence, high expectation, and inconsequence. Results showed that by age four children's thinking abilities were affected by the rational explanation, the achievement press, punishment, and superintendence. At age five, the supportive expression and superintendence were important factors to the thinking ability. By age six children were affected by the supportive expression, the rational explanation, punishment and high expectation. It was also discussed the positive or negative effects of the parenting attitude sub-scales to the development of the thinking ability. These results showed the parenting attitudes need to be changed according to the child's age for getting more resonable results to their children's thinking ability.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.122-129
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• 2015

Director Lee Chang-dong's movies deal mainly with the matter of subject as a human individual. He attempts to show how the subject as a human individual is structured in society through the characters in the movies. It can be seen that a considerable part of this is connected to the matter of subject which is maintained by Michel Foucault, a modern French philosopher. Foucault contends that the subject has lost its identity in the huge structure of society and has become the object. The subject is alienated within the power. The subject is also divided into normality and abnormality in the social structure. Particularly, the movie directed by Lee Chang-dong shows an individual containing consideration toward self and Foucault also showed his attempts in his later years to newly interpret the subject in the context of consideration toward self. Through this thesis, I attempt to examine the matter of the subject that the film director Lee Chang-dong and Foucault have in common.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.4
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• pp.492-497
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• 2005

Feature extraction is important to classify data with large dimension such as image data. The representative feature extraction methods lot feature extraction ate PCA, ICA, LDA and MLP, etc. These algorithms can be classified in two groups: unsupervised algorithms such as PCA, LDA, and supervised algorithms such as LDA, MLP. Among these two groups, supervised algorithms are more suitable to extract the features for classification because of the class information of input data. In this paper we suggest a new feature extraction algorithm PCA-FX which uses class information with PCA to extract ieatures for classification. We test our algorithm using Yale face database and compare the performance of proposed algorithm with those of other algorithms.