• Korean Journal of Child Studies
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• v.34 no.4
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• pp.19-36
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• 2013

This study examined concept development in children in terms of sound propagation. The subjects consisted of 240 five-, seven-, and ten-year-old children from three kindergartens and two primary schools respectively. The instrument used for the purposes of this study was the examination instrument on sound as developed by the SPACE Project in the UK. The concepts related to sound were classified into five stages including : no recognition, egocentric concept, initial mental models, synthetic mental models, and scientific mental models. The results revealed the existence of significant differences in terms of the types of concept that children were aware of, according to age and context. Most five-, seven-, and ten-year-old children revealed egocentric concepts related to every sounds, drum, rubber band context, however, most five-, seven-, and ten-year-old children revealed their recognition of the synthetic models of sound propagation when using the string telephone context. These results have implications for the contents of science education for children when it comes to the development of concepts related to sound propagation.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.137-142
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• 2021

Machine-learning systems have proven their worth in various industries, including healthcare and banking, by assisting in the extraction of valuable inferences. Information in these crucial sectors is traditionally stored in databases distributed across multiple environments, making accessing and extracting data from them a tough job. To this issue, we must add that these data sources contain sensitive information, implying that the data cannot be shared outside of the head. Using cryptographic techniques, Privacy-Preserving Machine Learning (PPML) helps solve this challenge, enabling information discovery while maintaining data privacy. In this paper, we talk about how to keep your data mining private. Because Data mining has a wide variety of uses, including business intelligence, medical diagnostic systems, image processing, web search, and scientific discoveries, and we discuss privacy-preserving in deep learning because deep learning (DL) exhibits exceptional exactitude in picture detection, Speech recognition, and natural language processing recognition as when compared to other fields of machine learning so that it detects the existence of any error that may occur to the data or access to systems and add data by unauthorized persons.

• Journal of East-West Nursing Research
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• v.19 no.2
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• pp.138-149
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• 2013

Purpose: The purpose of this study is to understand experience of self-esteem by exploring and describing the clinical nurses' lived experiences. Methods: The qualitative research method of phenomenology was utilized in this study. In-depth personal interviews of 8 clinical nurses with more than three years of experience in the clinical setting were conducted using a records from October, 2012 to March, 2013. Results: Content analysis was done using the Colaizzi' phenomenological method. The results based on the data analysis, 19 descriptive statements and 7 themes were confirmed. The 7 themes were as followed; 'recognition of nurse's role', 'recognition of nursing as a profession', 'secure jobs', 'close relationship with the clients', 'sense of existence perceived by others', 'considerations between coworkers', and 'opportunity for self-improvement. Conclusion: This study may be helpful to understand the experience of self-esteem. The results can be used to develop the effective interventions for the improvement of nurse's self-esteem.

• Journal of Korean Society of Rural Planning
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• v.9 no.4 s.21
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• pp.19-34
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• 2003

The purpose of this study is to investigate an epistemological recognition of rural society. This study suggests an epistemological reorientation for rural society circumscribing diverse theoretical thoughts as well as empirical evidences. Traditional theoretical perspectives in urban-rural dichotomy envisioned by modernistic idea have regarded rural society as a premodern and underdeveloped society. The perspectives also have regarded city as a symbol of civilization and development. These perspectives thought of the function of rural society as a periphery that can survive as a back-up for urban-oriented prosperity. This study shows that these idea have been concentrated on agricultural expansionism and productivism which do not function in the post-modem societies my longer. The present study argues that these modernistic idea give little understanding of implicit value of rural society. Owing to the functional change of rural society which is quite omnipresent in the 21'st centuries in the world, the present study argues that the value of rural society should work even in the market society that has traditionally been regarded as an working-mechanism in urban society. The present study drives a new insight showing that rural renaissance is an explicit existence instead of a phenomenal one.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.4 s.97
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• pp.37-45
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• 1999

Many automated welding equipment are used in the industry. However, there are some problems to get quality welds because of the geometric error, thermal distortion, and incorrect joint fit-up. These factors can make the gap between base plates in case of a thick plate welding. The welding product with the quality welds can not be obtained without consideration of the gap. In this paper, the robot path and welding conditions are modified to get the quality weld by detecting the position and size of the gap. In this work, a low-priced laser range sensor is used. The 3-dimensional information is obtained using the motion of a robot, which holds a laser range sensor. The position and size of the gap is calculated using signal processing of the measured 3-dimensional information of joint profile geometry. The data measured by a laser range sensor is segmented by an iterative end point method. The segmented data is optimized by the least square method. The existence of gap is detected by comparing the data with the segmented shape of template. The effects of robot measuring speed and gap size are also tested. The recognizability fo the gap is verified as good by comparing the real joint profile and the calculated joint profile using the signal processing.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.21 no.2
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• pp.159-170
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• 2010

A survey was conducted with 155 professors in 23 universities in Seoul. The survey investigated recognition and the present condition of FISP among those professors, the results of which were analyzed in terms of three aspects: recognition of FISP, utility and implementation of FISP, and FISP users' satisfaction and opinions. of professors, FISP users were most frequently using it to write a treatise, while non-FISP users failed to use it because they had no information of its existence. Both FISP and non-FISP users significantly favored implementation of FISP and showed very positive intention of using it.

• Journal of the Korea Society of Computer and Information
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• v.12 no.2 s.46
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• pp.71-76
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• 2007

Object detection process which makes decision on the existence of meaningful objects in a given image is a crucial part of image recognition in computer vision system. Hausdorff distance metric has been used in object detection and shows good results in applications such as face recognition. It defines the dissimilarity between two sets of points and is used to find the object that is most similar to the given model. This paper proposes a Hausdorff distance based detection method that uses directional information of points to improve detection accuracy when the sets of points are derived from edge extraction as is in usual cases. In this method, elastic energy needed to make two directional points coincident is used as a measure of similarity.

• Journal of the Korean Institute of Navigation
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• v.16 no.2
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• pp.41-52
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• 1992

It is, as everyone knows, very important for human beings to protect and conserve marine environment. We has believed the ocean is so wide and deep that it cannot be polluted. But it has begun to doubt the capacity of self-purification of the ocean due to pollution arising from marine casualities. It has proved that semi-enclosed sea is likely to be polluted and cannot be restored easily once pollution occurs. Therefore, first of all it is important to take preventive measures for prevention of marine pollution in the semi-enclosed sea like the Yellow Sea. Many of regional conventions for prevention of marine pollution have come into existence. this dissertation was set out for the fact that the Yellow Sea is semi-enclosed sea which is vulnerable to marine pollution. It is desirable not to deal with marine preservation of the Yellow Sea by a single exclusively but to deal with it by cooperation of all coastal states under the present circumstances. I proposed a program of regional cooperation to protect and conserve the Yellow Sea. This program must be progressed with gradual arrangements. First, they must establist a basic cooperation committee to work basic affairs on the protection of marine environment within the Yellow Sea. The Committee Mainly play parts of study and research concerned with pollution of the Yellow Sea in the non-governmental side and consist of legal and scientific experts. Second, they must establish the control Committee to prevent marine pollution of the Yellow Sea substantially. There is a reason that regional cooperation cannot be directly concluded with the regional tready. Because there is a problem of Recognition of States left. In principle, a subject of tready must be a state in the International Law. But they have not made Recognition of State which is demanded by International Law between North and South Koreas. Therefore, the Control committee must play a substantial part of prevention from pollution instead of the treaty. Finally, we concluded tentatively named $\ulcorner$Convention on Regional Cooperation for Protection of Marine Environment of the Yellow Sea from Pollution$\lrcorner$ if the matter is settled which is related to Recognition of States in the International Law.

• The Journal of Pediatrics of Korean Medicine
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• v.25 no.3
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• pp.35-45
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• 2011

Objectives: The purpose of this survey is to investigate the recognition of parents' attending oriental childcare class, as a part of an oriental health promotion programs in a health center. Methods: During 2010, 74 parents participated in the pre-survey and 61 parents participated in the post-survey at the Kimpo, Kyeongju and Ganghwa health center. Results: 1. 77% of the participants didn't recognize the existence of Oriental childcare center. 49% of participants were informed by health center. 2. In terms of preferences on oriental versus western medicine, 76% of participants preferred western medicine as compared to the oriental medicine but, some wanted to use both medical treatments 3. Recognition levels in importance of childcare education on post-survey were significantly elevated to the pre-survey(p<0.05), and the childcare education helped parents to breed children better. Participants want to recommend neighbors to participate in childcare class. 4. Levels of common senses about childcare on post-survey were significantly elevated compared to pre-survey(p<0.05), but levels of common senses about oriental childcare were not elevated. 5. 77% of the participants satisfied with the childcare class. Conclusions: The oriental childcare class sessions in health center have helped parents to recognize the importance of childcare education and common senses about childcare.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.30 no.6
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• pp.487-497
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• 2019

It is very difficult to detect ballistic missiles because of small cross-sections of the radar and the high maneuverability of the missiles. In addition, it is very difficult to recognize and intercept warheads because of the existence of debris and decoy with similar motion parameters in each flight phase. Therefore, feature vectors based on the maneuver, the micro-motion according to flight phase are needed, and the two types of features must be fused for the efficient recognition of ballistic warhead regardless of the flight phase. In this paper, we introduce feature vectors appropriate for each flight phase and an effective method to fuse them at the feature vector-level and classifier-level. According to the classification simulations using the radar signals predicted by the CAD models, the closer the warhead was to the final destination, the more improved was the classification performance. This was achieved by the classifier-level fusion, regardless of the flight phase in a noisy environment.