• Cartoon and Animation Studies
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• s.29
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• pp.103-128
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• 2012

Study about existence of illusion which human beings feel from imitated image based reality have been continuing by copy theory and conventionalism for a long time. Traditional copy theory which had controlled representation theory from plato have explained illusion by similarity of image and representation objects. According to copy theory, image is natural sign unlike language but the late in the 20th century, conventionalism from N, Goodman insists they are not any special similarity between image and representation objects. They insist image and conventional sign just as language. These opposit theory rearranged conventionalism by the entrance on the cognitive science. The copy theory couldn't explain the problem of representational gap between reality and duplication, but photo media makes new paradigm about theory of the illusion. The problem of representational gap was disappeared by CGI images on the base of digital media. We are exposed exquisite duplication for a example, movie, advertisement, printings. Sometimes duplications are more real than the original works. Digital is a non-material object by 0 and 1. Specially real lighting skill and mechanism are copied perfectly by photon mapping skills and the duplications are produced more real than the original works. By disappearance of representational gap, we need new theory model for explaining of digital illusion and copy theory can be the key.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.69-78
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• 2006

In the field of the bioinformatics, it plays an important role in predicting functional information or structure information to search similar sequence in biological DB. Biolrgical sequences have been increased dramatically since Human Genome Project. At this point, because the searching speed for the similar sequence is highly regarded as the important factor for predicting function or structure, the SMP(Sysmmetric Multi-Processors) computer or cluster is being used in order to improve the performance of searching time. As the method to improve the searching time of BLAST(Basic Local Alighment Search Tool) being used for the similarity sequence search, We suggest the nBLAST algorithm performing on the cluster environment in this paper. As the nBLAST uses the MPI(Message Passing Interface), the parallel library without modifying the existing BLAST source code, to distribute the query to each node and make it performed in parallel, it is possible to easily make BLAST parallel without complicated procedures such as the configuration. In addition, with the experiment performing the nBLAST in the 28 nodes of LINUX cluster, the enhanced performance according to the increase in the number of the nodes has been confirmed.

• Spatial Information Research
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• v.16 no.3
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• pp.279-290
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• 2008

Landslide, one of the serious natural disasters, has Incurred a large loss of human and material resources. Recently, many forecasting or alarm systems based on various kinds of measuring equipment have been developed to reduce the damage of landslide. However, only a few of these equipments are guaranteed to evaluate the safety of whole side of land slope with their accessibility to the slope. In this study, we performed some experiments to evaluate the applicability of a terrestrial LiDAR as a surveying tool to measure the displacement of a land slope surface far a slope collapsing protection system. In the experiments, we had applied a slope stability method to a land slope and then forced to this slope with a load increasing step by step. In each step, we measured the slope surface with both a total station and a terrestrial LiDAR simultaneously. As the result of Slope Fracturing analysis using all targets, the LiDAR system showed that three was 1cm RMSE on X-axis, irregularity errors on Y-axis and few errors on Z-axis compare with Total Station. As the result of Slope Fracturing analysis using continuous targets, the pattern of Slope Fracturing was different according to the location of continuous targets and we could detect a continuous change which couldn't be found using Total station. The accuracy of the LiDAR data was evaluated to be comparable to that of the total station data. We found that a LiDAR system was appropriate to measuring the behaviour of land slope. The LiDAR data can cover the whole surface of the land slope, whereas the total station data are available on a small number of targets. Moreover, we extracted more detail information about the behavior of land slope such as the volume and profile changes using the LiDAR data.

• Korean Journal of Environment and Ecology
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• v.31 no.5
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• pp.433-443
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• 2017

Securing the species compositional integrity (typicalness and representativeness) is the essential prerequisite for an integrated management of vegetation resources using the phytosociological $relev\acute{e}s$ and plant communities of the Z.-M. school. This study is intended to develop a tool for qualitative and quantitative evaluation of species compositional homotoneity of a set of $relev\acute{e}s$ per syntaxon. The new homotoneities, actual homotoneity ($H_{act}$), and optimal homotoneity ($H_{opt}$) taking into account the heterogeneous factors of $relev\acute{e}s$ are proposed. The correlations between the floristic variables such as the vegetation type, the new homotoneities, and the previously studied homogeneous measures (e.g. Pfeiffer's homogeneity, basic homotoneity-coefficient, corrected homotoneity-coefficient, and mean floristic similarity) are analyzed by using Spearman's rank correlation coefficient. $H_{act}$ and $H_{opt}$ are effective in determining the difference of inter-synthesized units and of inter-$relev\acute{e}s$, respectively. $H_{act}$ is the homotoneity that is the most independent of the number of $relev\acute{e}s$. On actual vegetation with long-term human impact in the Korean Peninsula, $H_{opt}$ has become an aid to the more precise understanding of $H_{act}$ as substantive homogeneousness of species composition of syntaxa. It is expected that $H_{act}$ and $H_{opt}$ can be used for the selection of a sort of homogeneous vegetation data to build a phytosociological $relev\acute{e}$-database with consistency and objectiveness for national vegetation resources.

• Journal of Korea Water Resources Association
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• v.50 no.12
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• pp.815-825
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• 2017

Groundwater management vulnerability was assessed using TOPSIS (Techniques for Order Performance by Similarity to Ideal Solution) for 21 administrative districts in Nakdong river basin. Ten indicators were selected for 21 administrative districts in the Nakdong river basin by collecting natural, human, and social data sets. The selected indicators were standardized using rescale method, and each indicator was weighted by considering the questionnaire of expert group. The results of the weights determination survey showed that the annual average groundwater level index was 0.157 and this is the highest value. The annual average precipitation index was 0.154 and the annual groundwater recharge index was 0.152. The lowest weighted index was 0.043 for population density. Finally, the result of assessment of groundwater management vulnerability showed that Sangju-si was the most vulnerable to groundwater management among 21 administrative districts in Nakdong river basin because the annual average precipitation, annual average groundwater recharge, and annual average groundwater use indicators were highly vulnerable. The second and the third vulnerable regions were Yecheon-gun and Haman-gun respectively. The assessment of groundwater management vulnerability for the five major river basins in Korea can be a essential basis for the establishment of groundwater management policy.

• The Korean Journal of Ecology
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• v.28 no.6
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• pp.375-382
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• 2005

The American bullfrog, Rana catesbeiana was imported from Japan for farming for the human consumption in 1970's and introduced populations were a great threat to native habitats in the pond and lake ecosystem. However, it is thought that the population of bullfrog has rapidly declined for past years in Korea. In this study, we investigated the intra-genetic diversity of R. catesbeiana habitated in Korea. The nucleotide sequences of 1,215bp mitochondrial ND1/tRNA region in bullfrogs sampled from 5 sites in Jeollanamdo were analyzed and compared to the original sequence of R. catesbeiara reported in Genbank. The nucleotide similarity between Korean and North American bullfrog was ranged from 98.7% to 100% based on kimura-2-parameter distance. In addition, bullfrogs analyzed in this study were clustered into two groups with one including Jangheung and the other including Gwangju populations in the neighbor-joining tree. North American R. catesbeiana was grouped in Jangheung cluster, indicating that there is the very low genetic difference between Korean and North American populations. The maximum parsimony tree in which North American R. catesbeiana was set as an outgroup suggests that Jangheung group represents the introduced population to Korea. Taken together, the results indicate that the population of R. catesbeiana in Korea has not segregated geographically yet, after the introduction.

• The KIPS Transactions:PartA
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• v.12A no.6 s.96
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• pp.539-546
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• 2005

Recently, as the number of Internet users are growing explosively, e-learning has been applied spread, as well as remote evaluation of intellectual capacity However, only the multiple choice and/or the objective tests have been applied to the e-learning, because of difficulty of natural language processing. For the intelligent marking of short-essay typed answer papers with rapidness and fairness, this work utilize heterogenous linguistic knowledges. Firstly, we construct the semantic kernel from un tagged corpus. Then the answer papers of students and instructors are transformed into the vector form. Finally, we evaluate the similarity between the papers by using the semantic kernel and decide whether the answer paper is correct or not, based on the similarity values. For the construction of the semantic kernel, we used latent semantic analysis based on the vector space model. Further we try to reduce the problem of information shortage, by integrating Korean Word Net. For the construction of the semantic kernel we collected 38,727 newspaper articles and extracted 75,175 indexed terms. In the experiment, about 0.894 correlation coefficient value, between the marking results from this system and the human instructors, was acquired.

• Journal of Legislation Research
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• no.44
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• pp.185-209
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• 2013

With the broader range of information and communications technology, of which fashion is a foundational medium, to analyze fashion as an information technology in order to better understand the industry's desire for intellectual property protection, popular resistance to such protection, and the most efficacious balance between them in terms of creative expression. It is, therefore to be focused on cultural and historical reasons for the limited degree of intellectual property protection extended in the past to certain categories of human creativity, including fashion design. So, the question of why some tension still exists between creators and consumers of fashion, how information theory can contribute to an explanation for that tension, and what role law can play in its resolution with Louboutin case and Levi case. Consumers and designers alike are better served by promotion of fair competition, lower litigation costs, and the inventive synergy of the fashion industry. Louboutin shows the comfortable, respectful limits of trademark law, while Levi illustrates the dangerous, overreaching deference that a few circuits have granted to famous marks. The Supreme Court could clarify the standard for dilution claims, requiring that a junior mark be "identical or nearly identical" or even "significantly similar" to a senior mark. Courts should need a deference in making dilution determinations and can choose to make this factor quite subjective with the highest degree of similarity.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.145-151
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• 2023

3D-CNN is one of the deep learning techniques for learning time series data. Such three-dimensional learning can generate many parameters, so that high-performance machine learning is required or can have a large impact on the learning rate. When learning dynamic hand-gestures in spatiotemporal domain, it is necessary for the improvement of the efficiency of dynamic hand-gesture learning with 3D-CNN to find the optimal conditions of input video data by analyzing the learning accuracy according to the spatiotemporal change of input video data without structural change of the 3D-CNN model. First, the time ratio between dynamic hand-gesture actions is adjusted by setting the learning interval of image frames in the dynamic hand-gesture video data. Second, through 2D cross-correlation analysis between classes, similarity between image frames of input video data is measured and normalized to obtain an average value between frames and analyze learning accuracy. Based on this analysis, this work proposed two methods to effectively select input video data for 3D-CNN deep learning of dynamic hand-gestures. Experimental results showed that the learning interval of image data frames and the similarity of image frames between classes can affect the accuracy of the learning model.

• Journal of Popular Narrative
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• v.25 no.3
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• pp.267-302
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• 2019

Oral literature can largely be categorized into myth, legend, and folktales, which are stories orally transmitted from the prehistoric times. The purpose of this study is to compare the discourse on the oral literature of the East and the West from a cultural studies viewpoint by focusing on its "symbolic systems," particularly "figures of speech," or "tropic traits", in order to utilize this oral literature as a resource in the study of Northeast Asian culture. Undergoing modernization, the symbolic meaning of oral literature has been demythologized both in the West and in Northeast Asia. Of course, oral literature, verbally transmitted over a long period of time, has naturally been changed over time and even "contaminated" in a sense by losing its original archaic archetype while it was textualized with letters during the early period of the modernization process. Nevertheless, the principle of "resemblance" and "similarity" between nature/universe and human/humanity, which has been stripped away in modernity, can still be found in oral literature with its mythic power. For this reason, the study of oral literature in the West has attempted to restore the lost magical power within it, particularly in myth. As such, this study delves into the symbolism of the mythic thought of Northeast Asian countries, namely Korea, China, and Japan, which has been lost in the course of their compressed modernization, in relation to the tropic figures of their oral literatures.