• Journal of KIISE:Computer Systems and Theory
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• v.31 no.5_6
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• pp.297-304
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• 2004

In this paper, a mesh simplification algorithm based on wavelet transform and 2D planar sampling is proposed for efficient handling of 3D objects in computer applications. Since 3D vertices are directly transformed with wavelets in conventional mesh compression and simplification algorithms, it is difficult to solve tiling optimization problems which reconnect vertices into faces in the synthesis stage highly demanding vertex connectivities. However, a 3D mesh is sampled onto 2D planes and 2D polygons on the planes are independently simplified in the proposed algorithm. Accordingly, the transform of 2D polygons is very tractable and their connection information Is replaced with a sequence of vertices. The vertex sequence of the 2D polygons on each plane is analyzed with wavelets and the transformed data are simplified by removing small wavelet coefficients which are not dominant in the subjective quality of its shape. Therefore, the proposed algorithm is able to change the mesh level-of-detail simply by controlling the distance of 2D sampling planes and the selective removal of wavelet coefficients. Experimental results show that the proposed algorithm is a simple and efficient simplification technique with less external distortion.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.5
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• pp.369-379
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• 2017

The purpose of this study was to improve an university tutoring program qualitatively, evaluating and analyzing the case of tutoring program that students attended in order to strengthen their learning competences through CIPP(Context-Input-Process-Product). To do this, a tutoring survey with satisfaction survey was carried out for 90 students who participated in the final reporting meeting among those who joined the tutoring program at the second semester of 2016 year at the B university. In addition, a tutor interim checking workshop was held for the 49 tutors and qualitative analyses were carried out on the reflection papers submitted by students who were involved in the tutoring program. Tutoring program assessments were carried out in terms of several steps and their view points. They were the necessity of tutoring program for the context evaluation, the appropriacy of human-material resources and program planning for the input evaluation, the teaching and learning activity for the process evaluation and the influence, effectiveness, sustainability, transferability for the product evaluation. Survey results showed that the average scores were presented 4.05 for the context evaluation, 3.88 for the input evaluation, 4.08 for the process evaluation and 3.92 for the product evaluation respectively. Similar analysis results were represented from the tutor workshops and the reflection paper analysis results. Learners were satisfied with all the evaluation items, scoring more than the average level. However, it was necessary for the evaluation items that were rated low range to improve the program through detail modification plans.

• Korean journal of applied entomology
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• v.42 no.3
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• pp.203-209
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• 2003

Biological characteristics of the almond moth, Cadra cautella, of which eggs will be substitute diets for Orius spp. and Trichogramma spp., were investigated and a mass-rearing system for the moth was developed. At 25$^{\circ}C$, egg, larval, and pupal period was 4.2, 29.8 and 8.3 days, respectively, and adult longevity was 5.8 days for female and 4.8 days for male. Total number of eggs at 20, 25 and 30$^{\circ}C$ was 128.9,207.9 and 139.9, respectively. The moth could be successfully reared with all food substrates tested, of which rice bran (50%)+chick feed (50%) assumed to be proper for massrearing in view of cost. Eggs could be stocked at 9 C for 7 days, representing 82% hatchability. In the rearing cage (16${\times}$24${\times}$9cm) used, 1,000 eggs was better for initial level of inoculation, showing relatively high emergence rate and adult weight. Mass-rearing procedures were explained in detail.

• Korean journal of communication and information
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• v.37
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• pp.342-376
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• 2007

This study attempted to explore relationship between self-identities in real space and in virtual space and to inspect empirically both self-identities' influence on addiction and society maladaptation of online role playing game users. The verified results through this study are summarized as follows. First, both self-identity in real space and self-identity in virtual space represent strong interrelationship. In detail, the user with strong self-identity in real space shows strong self-identity in virtual space. Second, self-identities in two spaces have the negative interrelationship with game addiction and maladaptation. Whether real space or virtual space, the higher self-identity, the lower the levels of game addiction and maladaptation. Especially, self-identity in real space appeared an influential variable determining the level of addiction and maladaptation. Although self-identity in virtual space have not an independent influence, it has the possibility to effect complementary with self-identity in real space. This fact means that virtual space is not the place where the user with weak self-identity in real space can discovers the ideal self. Because they also experience the negative recognition about oneself in virtual space.

• Proceedings of the KSRS Conference
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• 2000.04a
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• pp.166-171
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• 2000

밀티빔 음향 측심기 (Multibeam Echo Sounder)는 탐사선에 수직방향으로 해저면을 주사(Swath)하여, 한번의 송수신(Ping)으로 다중의 빔자료를 얻을 수 있는 측심기로, 해저면에 반사되어 되돌아오는 음파의 음압을 기록하고, 사이드 스캔 소나 자료도 동시에 취득하는 기능을 가지고 있으므로, 측심된 해저 지형(Bathymetry)과 해저 지형을 덮고 있는 해저면의 퇴적 상황(Sediment Environment)도 동시에 얻을 수 있는 다목적 측심기이다. 본 논문에서는 L3사의 Sea Beam 2100 멀티빔 음향 측심기를 통해 얻은 자료를 처리하여, 3차원 공간 데이터인 DEM(Digital Elevation Model)을 생성하고, VRML을 이용한 웹상에서의 해저 지형 가시화를 통해, 세계 어느 곳에서나 웹을 통하여 쉽게 정보를 공유할 수 있는 3차원 해저 지리 정보 시스템의 구현을 목적으로 한다. 멀티빔 음향 측심기를 통해 얻어진 자료는 항해 자료 보정, 음속 보정, 빔 좌표 계산과 분리, 오측심 자료 제거, 조석 보정 등의 단계를 거쳐 측심자료의 정확도 및 신뢰도를 높이는 과정을 거치게 된다. 보정된 멀티빔 음향 측심자료는 무작위 점 사상(Point Topology)으로 산재 되어 있는 빔 자료를 임의의 단위영역으로 변환하는 과정을 거쳐야 하는데, 이 과정을 격자화라고 한다. 자료의 격자화를 통해 3차원 공강 데이터인 DEM 파일을 제작하고, 이 DEM 파일과 음압 영상을 이용해 웹상에서의 3차원 해저 지형의 가시화를 실현한다. 웹상에서의 3차원 지형 가시화에서 방대한 양의 지형 데이터는 데이터 전송 시간과 렌더링 시간에 치명적인 문제이다. 따라서, 렌더링 시간과 데이터 전송 시간을 단축시키기 위한, 지형 자료의 LOD(Level of Detail)를 통해, VRML을 이용한 보다 효과적인 웹상에서의 3차원 해저 지형의 가시화를 실현한다.면 기업은 고객으로 공간적인 제약으로 인한 불신을 불식시키는 신뢰감을 주게 된다. 이러한 고객서비스 향상과 물류비용 절감은 사이버 쇼핑몰이 전국 어디서나 우리의 안방에서 자연스럽게 점할 수 있는 상황을 만들 것이다.SP가 도입되어, 설계업무를 지원하기위한 기본적인 시스템 구조를 구상하게 된다. 이와 함께 IT Model을 구성하게 되는데, 객체지향적 접근 방법으로 Model을 생성하고 UML(Unified Modeling Language)을 Tool로 사용한다. 단계 4)는 Software Engineering 관점으로 접근한다. 이는 최종산물이라고 볼 수 있는 설계업무 지원 시스템을 Design하는 과정으로, 시스템에 사용될 데이터를 Design하는 과정과, 데이터를 기반으로 한 기능을 Design하는 과정으로 나눈다. 이를 통해 생성된 Model에 따라 최종적으로 Coding을 통하여 실제 시스템을 구축하게 된다.the making. program and policy decision making, The objectives of the study are to develop the methodology of modeling the socioeconomic evaluation, and build up the practical socioeconomic evaluation model of the HAN projects including scientific and technological effects. Since the HAN projects consists of 18 subprograms, it is difficult In evaluate all the subprograms simultaneously. Despite, each program is being performed under the category of HAN projects, so the common soci

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.382-392
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• 2016

This study organize a self-directed learning in complex structures. And based on this, It was developed self-directed learning scale for university students. It was a analyzing literature and reviewing previous studies for developed scale. Therefore, Self-directed learning model was configured into motives, performance behaviors, and learning management behaviors. On the basis of this, the present study constructed 19 sub-factors and developed 114 scale items. First, a preliminary scale was developed and its reliability was assessed by administering the scale to 128 students attending A university. The result showed that the reliability of every sub-factor was good and, therefore, the scale was developed with no item removed. To verify the validity of the scale, this study evaluated reliability and construct validity by administering the scale to 674 students going to A university. The reliability and validity of all sub-factors were found to be good. A confirmatory factor analysis was performed to verify construct validity and the result revealed that the first model was not an appropriate model. For this reason, the first model was modified once by taking the model modification index into account and it was found that ${\chi}^2$ (563.254), CFI=.963, NFI=.951, RMSEA=.064. Thus, the model was verified as a valid model. The results of this study imply that it is possible to point out learners' weaknesses and strengths by measuring activities taking place in the learning process in detail.

• Journal of Korea Spatial Information System Society
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• v.12 no.1
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• pp.57-65
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• 2010

In this study, disaster damage investigation system was developed using high resolution satellite images and GIS technique to afford effective damage investigation system for widely disaster damaged area. Study area was selected in Bonghwa, Gyungsangbukdo where high magnitude of damages from torrential rain has occurred at July in 2008. GIS DB was built using 1:5,000 topographic map, cadastral map, satellite image and aerial photo to apply for investigation algorithm. Disaster damage investigation system was developed using VB NET languages, ArcObject component and MS-SQL DBMS for effective management of damage informations. The system can finding damaged area comparing pre- and post-disaster images and drawing damaged area according to the damage item unit. Extracted object was saved in Shape file format and overlayed with background GIS DB for obtaining detail information of damaged area. Disaster damage investigation system using high resolution spatial images can extract damage information rapidly and highly reliably for widely disaster areas. This system can be expected to highly contributing to enhance the disaster prevention capabilities in national level field investigation supporting and establishing recovery plan etc. This system can be utilized at the plan of disaster prevention through digital damage information and linked in national disaster information management system. Further studies are needed to better improvement in system and cover for the linkage of damage information with digital disaster registry.

• Journal of the Korean GEO-environmental Society
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• v.6 no.2
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• pp.5-14
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• 2005

In the present study, the liquefaction potential in the area of the Incheon international airport was assessed by applying the data of both standard penetration tests and laboratory tests to the modified Seed & Idriss method. The analysis was performed against the non-plastic silty soil layer and silty sand soil layer existing within the depth of 20m and under the ground water level, having the standard penetration value(N) of below 20. Also, each set of data was mapped using the GIS(Geographic Information System) and the safety factor against the liquefaction potential ($FS_{liquefaction}$) was obtained by overlapping those layers. Throughout the analysis, it was found that there exists a potential hazard zone for the liquefaction, showing partially that the safety factor against the liquefaction potential is 1.0 to 1.5 below the standard safety factor criterion. It is further thought to be necessary that the liquefaction potential for the corresponding hazard zone be additionally assessed in detail.

• Journal of Korea Port Economic Association
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• v.38 no.3
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• pp.29-51
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• 2022

The International Maritime Organization (IMO) designated the Emission Control Area (ECA) in Northern Europe to reduce the NOx and SOx emissions from ships in the coastal areas. This study used Network slack-based measure (SBM) Data Envelopment Model (DEM) and Bootstrop Truncated Regression (BTR) model to analyze the ECA's impact on ferry companies' financial performances based on the financial data from eight ferry carriers in Northern Europe, the Mediterranean and North America from 2004 to 2017. To alleviate the problem of arbitrary variable selection in DEA, the variable selection criteria proposed by Dyson et al. (2001) were applied; the size of the company was considered through the Network SBM DEA model; and the company's profit-generating process was divided into stages to measure financial performance in more detail. In addition, the BTR model was applied to derive results that minimize the bias of the data. The study found that ECA regulations did not always negatively affect the shipping companies' financial performance. Rather, a steady increase in efficiency was observed for Northern European ferry companies which were subject to the strongest regulations. For North American ferry companies, government subsidies were found to have a significant impact on efficiency, and relatively small impact on efficiency due to the ECA and oil prices. For the Mediterranean ferry companies, efficiency values have decreased since the implementation of ECA regulation despite the lowest level of regulation in the region.

• Journal of KIISE:Software and Applications
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• v.35 no.10
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• pp.616-626
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• 2008

The face shape extracted by the depth values has different appearance as the most important facial feature information and the face images decomposed into frequency subband are signified personal features in detail. In this paper, we develop a method for recognizing the range face images by combining the multiple frequency domains for each depth image and depth fusion using fuzzy integral. For the proposed approach, the first step tries to find the nose tip that has a protrusion shape on the face from the extracted face area. It is used as the reference point to normalize for orientated facial pose and extract multiple areas by the depth threshold values. In the second step, we adopt as features for the authentication problem the wavelet coefficient extracted from some wavelet subband to use feature information. The third step of approach concerns the application of eigenface and Linear Discriminant Analysis (LDA) method to reduce the dimension and classify. In the last step, the aggregation of the individual classifiers using the fuzzy integral is explained for extracted coefficient at each resolution level. In the experimental results, using the depth threshold value 60 (DT60) show the highest recognition rate among the regions, and the depth fusion method achieves 98.6% recognition rate, incase of fuzzy integral.