• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2551-2562
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• 2013

Since 2006, an Intelligent Excavation Robot which automatically performs the earth-work without operator has been developed in Korea. The technologies for automatically recognizing the terrain of work environment and detecting the objects such as obstacles or dump trucks are essential for its work quality and safety. In several countries, terrestrial 3D laser scanner and stereo vision camera have been used to model the local area around workspace of the automated construction equipment. However, these attempts have some problems that require high cost to make the sensor system or long processing time to eliminate the noise from 3D model outcome. The objectives of this study are to analyze the advantages of the existing 3D modeling sensors and to examine the applicability for practical use by using Analytic Hierarchical Process(AHP). In this study, 3D modeling quality and accuracy of modeling sensors were tested at the real earth-work environment.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.08a
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• pp.375-375
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• 2012

Graphene is a sp2-hybridized carbon sheet with an atomic-level thickness and a wide range of graphene applications has been intensely investigated due to its unique electrical, optical, and mechanical properties. In particular, hybrid graphene structures combined with various nanomaterials have been studied in energy- and sensor-based applications due to the high conductivity, large surface area and enhanced reactivity of the nanostructures. Conventional metal-catalytic growth method, however, makes useful applications difficult since a transfer process, used to separate graphene from the metal substrate, should be required. Recently several papers have been published on direct graphene growth on the two dimensional planar substrates, but it is necessary to explore a direct growth of hierarchical nanostructures for the future graphene applications. In this study, uniform graphene layers were successfully synthesized on highly dense dielectric nanowires (NWs) without any external catalysts. We also demonstrated that the graphene morphology on NWs can be controlled by the growth parameters, such as temperature or partial pressure in chemical vapor deposition (CVD) system. This direct growth method can be readily applied to the fabrication of nanoscale graphene electrode with designed structures because a wide range of nanostructured template is available. In addition, we believe that the direct growth growth approach and morphological control of graphene are promising for the advanced graphene applications such as super capacitors or bio-sensors.

• Journal of the Korean Chemical Society
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• v.56 no.6
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• pp.739-750
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• 2012

The purpose of this study is to analyze the cognitive demands level of the description about 'pure substance and mixture compound', 'ionic compound', 'molecule' on the 'science2' textbooks by the 2007 revised curriculum. The three types of Curriculum Analysis Taxonomy have been used to analyze the cognitive demands level of those contents on the 6 kinds of 'science2' textbooks. The first, the cognitive demand level about 'pure substance and mixture compound' on many textbooks is a late concrete operational stage because of class inclusion and hierarchical classification. And the descriptions as 'pure substance is conserved even when mixed with other pure substance' is a early formal operational stage. The second, the cognitive demand level about 'ionic compound' and 'molecule' is a early formal operational stage, because of "Formal modeling is the indirect interpretation of reality by deductive comparison from a postulated system with its own rules" and "Atoms have a structure". The third, the terms as 'ionic bonding', 'ionic compound', 'chemical formula', 'covalent bonding', 'covalent compound', and 'molecular formula' have been used on many 'science2' textbooks. Those terms would be used later on 'chemistry I' and 'chemistry II' in senior high school but not even 'science3' and 'science'.

• Korean Journal of Child Education & Care
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• v.18 no.3
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• pp.91-104
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• 2018

Objective: The purpose of the study was to explore early childhood teachers' content knowledge and knowledge level on unification education through an analysis of a concept map (Novak & Gowin, 1984). Methods: The subjects, including 65 early childhood teachers in a metropolitan area, were asked to draw concept maps illustrating their understanding of unification education for young children. The collected concept maps were analyzed using the methods utilized by Novak and Gowin (1984) as well as You and Kim (2018). Results: In terms of early childhood teachers' content knowledge, 282 superordinate concepts and 1,766 subordinate concepts were shown. The 282 superordinate concepts were categorized into 7 representative superordinate concepts: understanding of North Korean, understanding of separation/unification, identification as Korean citizen, unification policy, relationship between South Korea & North Korea, educational activities, connection with home and society. In terms of early childhood teachers' knowledge level, the numbers of subordinate concepts and hierarchical level were shown to be varied according to the 7 representative superordinate concepts. Conclusion/Implications: Discussions were included to support and enhance early childhood teachers' content knowledge on unification education for young children through the development of comprehensive programs and teacher education.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.101-109
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• 2020

This study sought to find out the impact of conflicts in social welfare organizations on job performance and to find out the effects of controlling participatory decision-making in their relationships. To that end, a survey was conducted on workers at social welfare centers in Seoul, Gyeonggi Province and Chungcheong Province, and 360 copies were finally used for analysis and Correlation and hierarchical regression and statistical significance analysis of the adjustment effects were performed. As a result, conflicts within the organization, job performance, and participatory decision-making showed a negative correlation, and as participatory decision-making in the relationship between conflict within the organization and job performance showed a controlled effect, the impact of conflicts within the organization on job performance was reduced. These results suggest that participatory decision-making can alleviate conflicts within an organization and at the same time increase job performance. Based on this, the following suggestions were proposed: They include conflict management strategies in the guidelines for social welfare subjects, establish guidelines for conflict management, provide training for workers, engage workers in employee evaluation and compensation system development, and operate permanent organizations such as the Conflict Handling Committee after investigating conflicts within social welfare organizations.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.4
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• pp.117-123
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• 2013

In the recent cloud storage environment, the amount of SSD (Solid-State Drive) replacing with the traditional hard disk drive is increasing. Management of SSD for its space efficiency has become important since SSD provides fast IO performance due to no mechanical movement whereas it has wearable characteristics and does not provide in place update. In order to manage space efficiency of SSD, data de-duplication technique is frequently used. However, this technique occurs much overhead because it consists of data chunking, hasing and hash matching operations. In this paper, we propose new data de-duplication method using PRAM cache. The proposed method uses hierarchical hash tables and LRU(Least Recently Used) for data replacement in PRAM. First hash table in DRAM is used to store hash values of data cached in the PRAM and second hash table in PRAM is used to store hash values of data in SSD storage. The method also enhance data reliability against power failure by maintaining backup of first hash table into PRAM. Experimental results show that average writing frequency and operation time of the proposed method are 44.2% and 38.8% less than those of existing data de-depulication method, respectively, when three workloads are used.

• Journal of the Korean Geographical Society
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• v.38 no.5
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• pp.725-740
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• 2003

The National Land Planning and Use Law Act at the beginning of 2002, introduced Land Suitability Assessment System(LSAS) in order to mitigate conflicts between development and conservation needs for land. LSAS is to assess land characteristics according to its physical, locational, and environmental characteristics, and then to classify it into several categories based on its usability. This study aims to review the factors to determine the suitability of the land and their weights. Land suitability is determined by a variety of factors, such as land-surface slope and altitude, the type of land use in neighboring areas, accessibility to public facilities and existing developed areas, and ecological characteristics of the land. This article analyzed these factors and their influences by using the Delphi survey and Analytic Hierarchical Process. One of the most influential factors on the development suitability of land is the distance to developed areas and public facilities. On the other hand, the slope and altitude of the land have comparatively low influences on the land development. The coverage of prime cultivating land of the neighbouring region and slope of the land are analyzed as important factors on the agricultural suitability of the land. The ecological features and the ratio of conservation area in the neighbourhood are counted as the most important factors in determining the land for conservation. This article tested these factors and their weights in assessing land suitability of land as a case study.

• Culinary science and hospitality research
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• v.18 no.1
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• pp.246-258
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• 2012

This study aims to provide the fundamental data of an efficient grading system after identifying the mediate and moderating effects of self-participation regarding the impact of education service quality on student satisfaction. To achieve the purpose of the study, SPSS 18.0 statistic program was used to conduct the frequency, factor and correlation analysis while targeting 310 students majoring in food service and culinary arts & science in 2 and 4 year universities in Busan area. Specifically, the mediate and moderating effects of self-participation were examined in accordance with three-stage regression analysis and hierarchical regression analysis, respectively. The results of analyses suggested that there was the positive correlation between student satisfaction and education service quality, and the student satisfaction was correlated with self-participation in the entire variables, except for the welfare service. The self-participation didn't have any mediate effect, since the ratio of the student satisfaction to the education service quality with self-participation turned out to be p<0.01. The self-participation had moderating effects on student satisfaction, with the $R^2$ being increased by 0.032, from 0.537 to 0.569. However, it was only partial moderating effects because the self-participation, when along with laboratory environment, was not positively effective in terms of the statistic variables.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.9
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• pp.3472-3480
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• 2010

The Clustering technology of Energy efficiency wireless sensor network gets the energy efficiency by reducing the number of communication between sensor nodes and sink node. In this paper, First analyzed on the clustering technique of the distributed clustering protocol routing scheme LEACH (Low Energy Adaptive Clustering Hierarchy) and HEED (Hybrid, Energy-Efficient Distributed Clustering Approach), and based on this, new energy-efficient clustering technique is proposed for the cause the maximum delay of dead nodes and to increase the lifetime of the network. In the proposed method, the cluster head is elect the optimal efficiency node based on the residual energy information of each member node and located information between sink node and cluster node, and elected a node in the cluster head since the data transfer process from the data been sent to the sink node to form a network by sending the energy consumption of individual nodes evenly to increase the network's entire life is the purpose of this study. To verify the performance of the proposed method through simulation and compared with existing clustering techniques. As a result, compared to the existing method of the network life cycle is approximately 5-10% improvement could be confirmed.

• The Journal of Information Technology
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• v.7 no.2
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• pp.93-104
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• 2004

Sports scene is characterized by large amount of global motion due to pan and zoom of camera motion, and includes many small objects moving independently. Some short period of sports games is thrilling to televiewers, and important to producers. At the same time that kinds of scenes exhibit exceptionally dynamic motions and it is very difficult to analyze the motions with conventional algorithms. In this thesis, several algorithms are proposed for global motion analysis on these dynamic scenes. It is shown that proposed algorithms worked well for motion compensation and panorama synthesis. When cascading the inter frame motions, accumulated errors are unavoidable. In order to minimize these errors, interpolation method of motion vectors is introduced. Affined transform or perspective projection transform is regarded as a square matrix, which can be factorized into small amount of motion vectors. To solve factorization problem, we preposed the adaptation of Newton Raphson method into vector and matrix form, which is also computationally efficient. Combining multi frame motion estimation and the corresponding interpolation in hierarchical manner enhancement algorithm of motion parameters is proposed, which is suitable for motion compensation and panorama synthesis. The proposed algorithms are suitable for special effect rendering for broadcast system, video indexing, tracking in complex scenes, and other fields requiring global motion estimation.