• Journal of the Korean Society of Child Welfare
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• no.36
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• pp.35-64
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• 2011

This research reviews the education welfare priority support project and analyzes its policy from the welfare-state perspective. This study evaluates the policy contents, overall procedures, and the changes in the perspectives of the project in accordance with the political power changes in the government, and illuminates future directions. For this, the research infers desirable typology of the welfare state, and analogizes the budget, the target population, key issues and delivery systems of the education welfare priority support project. Education welfare priority support project still remains to follow a selective and hierarchical business format, despite the legally stated initiatives, growing budget, and the expansion of the operation which has been governed by the policy makers. Particularly, the state of this project, and examine whether or not it has been distorted by the governmental emphasis on the educational outcomes and performance should continuously be examined as a future direction of the research. Finally, the study suggests several recommendations for the desirable anchorage of the project within the framework of being a prospective welfare state.

• Journal of the Korea Society for Simulation
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• v.28 no.3
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• pp.11-23
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• 2019

An AddSIM(Adaptive distributed and parallel Simulation environment for Interoperable and reusable Models) is developed to construct a composite environment that can be used in the overall stage from military demand analysis to test and evaluation. In addition, a base system model(BSM), which is a component model of the weapon system with standardized hierarchies, has been developed. This paper describes the critical design of BSM for the guided weapon system that can be operated in AddSIM. The guided weapon system BSM is designed for reusability and interoperability, and to have the same interface for assembly, even if the subcomponents have different resolution. Then, each subcomponent is defined and implemented according to the component resolution classification scheme. Finally, Combinations of subcomponents have been used to construct the guided weapon system of various resolution and the performance is compared and analyzed through simulation.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.45-52
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• 2021

In this paper, we proposed an Atrous Residual U-Net (AR-UNet) to improve the segmentation accuracy of semantic segmentation method based on U-Net. The U-Net is mainly used in fields such as medical image analysis, autonomous vehicles, and remote sensing images. The conventional U-Net lacks extracted features due to the small number of convolution layers in the encoder part. The extracted features are essential for classifying object categories, and if they are insufficient, it causes a problem of lowering the segmentation accuracy. Therefore, to improve this problem, we proposed the AR-UNet using residual learning and ASPP in the encoder. Residual learning improves feature extraction ability and is effective in preventing feature loss and vanishing gradient problems caused by continuous convolutions. In addition, ASPP enables additional feature extraction without reducing the resolution of the feature map. Experiments verified the effectiveness of the AR-UNet with Cityscapes dataset. The experimental results showed that the AR-UNet showed improved segmentation results compared to the conventional U-Net. In this way, AR-UNet can contribute to the advancement of many applications where accuracy is important.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.347-353
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• 2019

Recent recommendation systems are developing toward the utilization of high-dimensional data. However, high-dimensional data can increase algorithm complexity by expanding dimensions and be lower the accuracy of recommended items. In addition, it can cause the problem of data sparsity and make it difficult to provide users with proper recommended items. This study proposed an algorithm that classify users' subjective data with objective criteria with fuzzy-AHP and make use of rules with repetitive patterns through fuzzy association rules. Trying to check how problems with high-dimensional data would be mitigated by the algorithm, we performed 5-fold cross validation according to the changing number of users. The results show that the algorithm-applied system recorded accuracy that was 12.5% higher than that of the fuzzy-AHP-applied system and mitigated the problem of data sparsity.

• Journal of Broadcast Engineering
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• v.23 no.6
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• pp.886-895
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• 2018

In this paper, we introduce a technique to detect the video forgery by using the regularity that occurs in the video compression process. The proposed method uses the hierarchical regularity lost by the video double compression and the frame deletion. In order to extract such irregularities, the depth information of CU and TU, which are basic units of HEVC, is used. For improving performance, we make a depth map of CU and TU using local information, and then create input data by grouping them in GoP units. We made a decision whether or not the video is double-compressed and forged by using a general three-dimensional convolutional neural network. Experimental results show that it is more effective to detect whether or not the video is forged compared with the results using the existing machine learning algorithm.

• The Korean Journal of Archival Studies
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• no.61
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• pp.31-69
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• 2019

This study seeks to find an organizational method suitable for literary records through a review of the application of records management and an archival exploration of the literary materials of the authors, which are housed in a decentralized collection of domestic literary museums. First, through literature research and case analysis, I explored the "principles of original order" for organizing by characteristics and values of literary records. Next, the organization model was applied to the literature materials of author Jo Jung-rae(1943~) that existed in the form of a 'split-collection' in the local literature museum after drawing a model suitable for organizing literary records as an example. In order to gain an integrated approach to the 'split-collection' by Cho Jung-rae, the research result suggests a model provided through a single gateway by linking descriptive information related to ICA AtoM-based 'Records-Writers-Literature Museum'. The organizational model for the collection of individual literature museum was designed to provide richer collective and contextual information compared to the existing simple list by developing a hierarchical classification system in accordance with the principle of record organizing.

• The Korean Journal of Archival Studies
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• no.30
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• pp.57-88
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• 2011

Oral history is the work to make the record of the verbal content recreated by the memories of the survivors. Oral history recording is accomplished through the collaboration of the interviewee, the interviewer, the cameraman, the recorder, the transcriber and etc. Therefore, it is important for the context at the time of the production to be expressed. So planning for the collection of oral records, the collection of oral records, and their preservation and maintenance should be managed systematically. This study, being started from this sense of problem, designed conceptual model of metadata to well reflect the contextual characteristics of the oral records of the women life of among the oral records and extracted the elements through this. The whole process of records management including from planning, production, preservation, management, and leading to use, related to the oral records of the women life, was classified into a hierarchy. It also proposed the system which can express the characteristics of the 'gender' through authority records and subject thesaurus.

• Convergence Security Journal
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• v.21 no.2
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• pp.89-96
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• 2021

In recent years, the fear of terrorism due to 'Lone Wolf' terrorism is spreading in the United States and Europe. The lone wolf terrorism, which carries out terrorism independently, without an organization behind it, threatens social security around the world. In Korea, those who have explosive national/social dissatisfaction due to damage caused by national policies, and delusional mental disorders can be classified as potential 'Lone Wolf' terrorists. In 'Lone Wolf' terrorism, unlike organized terrorism, it is difficult to identify signs of terrorism in advance, and it is not easy to identify terrorist tools and targets. Therefore, in order to minimize the damage caused by 'Lone Wolf' terrorism, it is necessary to architect an independent monitoring and tracking system for the police's quick response. In this paper, we propose to architect response system that can collect information from organizations that can identify the signs of potential 'Lone Wolf' terrorism, monitor the continuity of abnormal behavior, and determine the types of 'Lone Wolf' terrorism that can happen as continuous abnormal behaviors.

• Smart Media Journal
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• v.10 no.3
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• pp.23-30
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• 2021

Although the manufacturing time series data clustering technique is an important grouping solution in the field of detecting and improving manufacturing large data-based equipment and process defects, it has a disadvantage of low accuracy when applying the existing static data target clustering technique to time series data. In this paper, an evolutionary computation-based time series cluster analysis approach is presented to improve the coherence of existing clustering techniques. To this end, first, the image shape resulting from the manufacturing process is converted into one-dimensional time series data using linear scanning, and the optimal sub-clusters for hierarchical cluster analysis and split cluster analysis are derived based on the Pearson distance metric as the target of the transformation data. Finally, by using a genetic algorithm, an optimal cluster combination with minimal similarity is derived for the two cluster analysis results. And the performance superiority of the proposed clustering is verified by comparing the performance with the existing clustering technique for the actual manufacturing process image.

• Journal of Korean Historical Folklife
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• no.52
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• pp.197-250
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• 2017

Many kinds of ritual manual books for the four ceremonies (coming-of-age, wedding, funeral, and ancestral rites) were published and transcribed during the Japanese Colonial Period. The ritual manuals are classified by 5 different types: 'ritual standards', 'ritual books for the four ceremonies', 'ritual books for the written prayers', 'religious ceremonial books', and 'general manners books'. All of them contributed much to the formation of folk rituals and religions, even though the purpose and contents of each book were different. The ritual manuals were not intellectual results of elites, but rather compilations of pre-modern ritual books and contemporary manners. These were widely spread among the people with the help of modern printing techniques. The ritual manuals aimed at common readers who wanted to look for ritual references easily. They were not just made for the special upper class. We can understand the contexts and characteristics of folk ritual and religion of the $20^{th}$ century by comprehending the ritual manuals of the Japanese Colonial Rule.