• Journal of Korea Multimedia Society
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• v.21 no.8
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• pp.858-863
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• 2018

In this paper, we propose and implement a multi-level convolutional neural network (CNN) algorithm to identify the sexually explicit and lewdness of various image files, and verify its effectiveness by using unauthorized image files generated in the actual military. The proposed algorithm increases the accuracy by applying the convolutional artificial neural network step by step to minimize classification error between similar categories. Experimental data have categorized 20,005 images in the real field into 6 authorization categories and 11 non-authorization categories. Experimental results show that the overall detection rate is 99.51% for the image files. In particular, the excellence of the proposed algorithm is verified through reducing the identification error rate between similar categories by 64.87% compared with the general CNN algorithm.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.32A no.9
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• pp.1167-1176
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• 1995

This paper suggests a method for optimal power assignment of the satellite transponder input carriers in the Multi-level & Multi-bandwidth system. The interference and the noise effects analyzed for the optimal power assignment are intermodulation product caused by the nonlinear transponder characteristics, adjacent channel interference, co-channel interference, and thermal noise in the satellite link. The Fletcher- Powell algorithm is used to determine the optimal input carrier power. The performance criteria for optimal power assignment is classified into 4 categories according to the CNR of destination receiver earth station to meet the requirement for various satellite link environment. We have performed mathematical analysis of objective functions and their derivatives for use in the Fletcher-Powell algorithm, and presented various simulation results based on mathematical analysis. Since the satellite link, it is meaningful to model and analyze these effects in a unified manner and present the method for optimal power assignment of transponder input carriers.

• Journal of Korean Academy of Nursing Administration
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• v.3 no.1
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• pp.37-50
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• 1997

The purpose of this study was to identify the gap between need-level and demonstration-level in nursing managerial competencies. In addition, the study proposes solutions to narrow this gap. The results of this study are as follows : 1) The mean score for need-level of each item was 4.0, and for demonstration-level, 3.5. This indicates that military hospital head nurses demonstrate a higher level of managerial competencies than the moderate level on all items. But items which were related to resource/ cost/ information managament, staff development management and professionalism management got relatively low ratings in the need-level. 2) The mean score for need-level of each category was 4.14, and for demonstration-level, 3.53. Categories on the individual dimension got a higher rating than categories on the group or organization dimension in both need-level and demonstration level. 3) The gap between need-level and demonstration-level appeared in all items(p<.05) and categories(p<.001). Although the gap was relatively low, it indicates that it is essential to plan a developmemt program for all nursing management competencies for military hospital head nurses. 4) There were significant differences in the gap between need-level and demonstration-level according to specific characteristics of the subjects. The gap did not appear in many categories on the individual dimension where the number of nursing staff was more than 10, a major grade, ICU head nurse or for head nurses having a long career. 5) Need-level and demonstration-level showed a difference according to specific characteristics of the subjects, because need-level and demonstration-level were higher where the number of nursing staff was more than 10, a major grade, and for ICU or Medical ward head nurses. The categories which showed need-level difference and demonstration-level differences according to specific characteristics of the subjects existed almostly completely in the group and organization dimension. Gap-level differences according to the number of hospital bed existed in only two categories. 6) The general causes of the gap were indicated to be 'Knowledge/ skill/ experience deficit', 'Limitation of rules and systems/ Inappropriate organizational environment' for most items, categories, and dimensions. The results of this study indicate that extensive competency developing strategies must be developed, because a gap was found in all items and categories. Specially, there is a need to concentrate attention on competencies in the group and organizational dimension which had a wider gap level. And it is important to take an individual approach according to the cause for each gap. In order to produce effective competency developing strategies, top managers must have sinsights into the importance of nursing staff development and nursing officer's efforts to develop themselves must be achieved. Further multi-dimensional(education, personnel-policy, nursing/ organizational environment) solutions to the gap must be developed and utilized.

• Smart Media Journal
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• v.12 no.9
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• pp.45-59
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• 2023

Weakly supervised object localization (WSOL) is a task of localizing an object in an image using only image-level labels. Previous studies have followed the conventional class activation mapping (CAM) pipeline. However, we reveal the current CAM approach suffers from problems which cause original CAM could not capture the complete defects features. This work utilizes a convolutional neural network (CNN) pretrained on image-level labels to generate class activation maps in a multi-scale manner to highlight discriminative regions. Additionally, a vision transformer (ViT) pretrained was treated to produce multi-head attention maps as an auxiliary detector. By integrating the CNN-based CAMs and attention maps, our approach localizes defective regions without requiring bounding box or pixel-level supervision during training. We evaluate our approach on a dataset of apple images with only image-level labels of defect categories. Experiments demonstrate our proposed method aligns with several Object Detection models performance, hold a promise for improving localization.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.5
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• pp.1240-1255
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• 1996

This paper suggests power optimization technique in multi-level SCPC system as a method for efficient utilization of limited satellite power. The power optimization is realized by optimal assignment of satellite input carrier powers considering interference and noise generated in up-link and down-link. The Fletcher-Powell algorithm searching minimum(or maximum) point using gradient information is used to detemine the optimal input carrier powers. To apply Flectcher-Powell algorithm mathematical descriptions and their partial derivatives to interference and nose are presented. Because a target, which should be optimized, is satellite input carrier power, amplitude of each carrier group will be assumed to be an independent variable. The performance criterion for optimal power assignmentis classified into 4 categories with respect to CNR of destination receiver earth station to meet the requirement for various satellite link environment. Simulation results for two-level, four-level and six-level SCPC system are presented.

• Korean Journal of Child Studies
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• v.32 no.3
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• pp.241-255
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• 2011

The purpose of this research was to analyze the concept map of kindergarten teachers concerning their levels of contents knowledge and their overall level of competency in terms of multi-cultural education. The participants were 104 teachers from 11 kindergartens in Busan. Data were analyzed by Sim's (2008) method based on Novak & Gowin (1984) and Morine-Dershimer (1993). The results were as follows. First, a majority of participants made a limited concept map and used 22 representative categories regarding multi-cultural education and the category of 'various nations' was the most popular superordinate concept. Second, the level of knowledge in terms of the maps were generally low in so far as most of maps reached hierarchy 1. The results of the research suggested that kindergarten teachers were lacking in basic knowledge of multi-cultual education and therefore there is a real need for both conceptualization and teacher training for multi-cultual education, reviewing of current 'teachers', 'manuals', and follow-up research aimed at analyzing teacher's multi-cultual education competence.

• Journal of Industrial Technology
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• v.19
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• pp.403-408
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• 1999

An efficient method is developed for classifying fingerprint data based on 2-D discrete wavelet transform. Fingerprint data is first converted to a binary image. Then a multi-level 2-D wavelet transform is performed. Vertical and horizontal subbands of the transformed data show typical energy distribution patterns relevant to the fingerprint categories. The proposed method with moderate level of wavelet transform is successful in classifying fingerprints into 5 different types. Finer classification is possible by higher frequency subbands and closer analysis of energy distribution.

• The Journal of Korean Society for School & Community Health Education
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• v.11 no.1
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• pp.41-55
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• 2010

Objectives: This study was conducted to identify the characteristics of health behavior and self-esteem and the relationship between the two factors among elementary school students with multi-cultural family background. Participants: Survey participants were 87 multi-cultural family children who lived in Seoul and Kyoungi areas and were registered in the local elementary schools. Methods: Data collection was conducted by face-to-face interview survey. Elementary education majored undergraduate students who participated in the education support program for multi-cultural family children in the Ministry of Education and Science and primary researcher of this study interviewed the target students and finished the survey questionnaire based on the students' responses. Survey included general characteristics, multi-cultural family characteristics, self-esteem, and (physical, mental, and social) health behavior. Results: 1. The self-esteem scores of the multi-cultural families children were greater in girl than boys among the children whose parents were graduated from college or more, and whose father had his job. The participants' health behavior scores were different by mothers' educational level. 2. The better they speak in English the greater the self-esteem scores. There was no statistical difference in health behavior scores by the participants' multi-cultural family background. 3. Self-esteem had moderate level correlation with health behavior (r= .56, p= .00) including all sub-categories of physical, mental, and social health. Conclusions: Positive self-esteem level is more sensitive to explain multi-cultural family children's health behaviors, which means that self-esteem is an important factor determining multi-cultural children's health behaviors and their health status in future. Therefore, more research to identify the factors related to health behaviors should be supported and the health promotion programs utilizing self-esteem should be developed for the child and youth with multi-cultural family backgrounds.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.12
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• pp.3197-3218
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• 2012

Compared with traditional itinerary planning, intention-oriented itinerary recommendations can provide more flexible activity planning without requiring the user's predetermined destinations and is especially helpful for those in unfamiliar environments. The rank and classification of points of interest (POI) from location-based social networks (LBSN) are used to indicate different user intentions. The mining of vehicles' physical trajectories can provide exact civil traffic information for path planning. This paper proposes a POI category-based itinerary recommendation framework combining physical trajectories with LBSN. Specifically, a Voronoi graph-based GPS trajectory analysis method is utilized to build traffic information networks, and an ant colony algorithm for multi-object optimization is implemented to locate the most appropriate itineraries. We conduct experiments on datasets from the Foursquare and GeoLife projects. A test of users' satisfaction with the recommended items is also performed. Our results show that the satisfaction level reaches an average of 80%.

• Land and Housing Review
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• v.4 no.4
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• pp.349-360
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• 2013

Recently new town development projects are increasing including more than one local government such as provincial government new town and Wirye new town. Institution improvement for the development and management of complex boundary new town is necessary because present urban development institution is based on the new town of single local government. The concept of multi-level governance provide good conceptual frame in recognizing conflict issues and searching for a collaborative solution in Wirye new town. The purpose of this study is recognizing the conflict issues in the process of development and management and providing the collaborative management method using the conceptual frame of multi-level governance in Wirye new town. For this, we did interviews for the related persons and experts, reference research and professional forum. We drew some implications from the references about urban development and similar cases such as free economic zones. The main results of this study is as in the following. First, we categorised the main conflicts in the development and management in Wirye into 4 sectors, such school, administrative service, utility facilities and urban infrastructures. Then, we analysed the conflict issues of each categories and composed a conflict-structure of Wirye new town. Second, the structure of conflict in Wirye new town is composed of the confrontations between separated management and integrated management and between wide area management and local management. Third, for the cooperative management of Wiyre, we should construct multi-level governance in three dimensions of administrative council, local government association, and special management organization.