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The Cultural Representation and Identity of Regional Symbols Using Regional Festival - In Case of the Hong-gil-dong Festival in Jangseong, Chonnam - (지역축제를 이용한 지역상징의 문화적 재구성과 정체성 - 장성군 홍길동 축제를 사례로 -)

  • Chu, Myung-Hee
    • Journal of the Korean association of regional geographers
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    • v.9 no.4
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    • pp.576-591
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    • 2003
  • This study examined how historical facts of the past were established as a symbol or identity of a region and reorganized in the present local communities. Janseong has reorganized regional symbols through a regional festival named Hong-gil-dong Festival based on its tradition and cultural resources and used them as a strategy for the regional revitalization. Jangseong was known as "a district of noble scholars" represented by the Philam Seowon(local school) enshrining Kim In-hoo, a superior one of the Confusion scholars of Joseon period. And it was considered as "a place of justice" because of historical fact that it was an important base of Donghak movement and the struggle by righteous soldiers who fought for the country in the late Joseon period. Moreover, as the place which is assumed as a birthplace of Hong Gil-dong, a hero of the Hong Gil-dong story was excavated, the local government has reorganized Mr. Hong as a symbol of the region and has held the Hong Gil-dong festival for its development. In spite of its short history, the festival was established as a representative of Janseong. It also created various regional cultural attractions such as regional logos of Hong Gil-dong and a tourist attraction of his birthplace. Jangseong reorganized its tradition for the regional revitalization through a business-oriented property of the event strategy enforcing a dynamic and external image. In the aspects of tradition reorganization and use for actual development, it is sure that the Hong Gil-dong Festival will work for true integration and revitalization of the region by providing experiences of reorganized regional tradition and culture along with various regional landscapes.

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A Study on the Correlation of Factors in 3-D Stereoscopic Visual-perception (3차원 입체영상에서 시지각(時知覺) 요인의 상관관계)

  • Cho, Yong-Keun
    • Cartoon and Animation Studies
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    • s.19
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    • pp.161-181
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    • 2010
  • Human beings experience the outside world through senses and have developed various ways of representation to preserve what they've experienced. The rapid progress of digital technology has opened a new era of representation technology, and furthermore, is functioning as a technology which offers new experiences. The sensory experiences through the sense of sight, which humans depend on more than 70% to perceive the outside world, have been becoming the center of representing the reality as the 3-D graphics technology has been growing, and developing by being grafted onto different areas of study. Various technologies to express the sense of reality, such as the technology to reinforce the virtual reality and to represent it in the reality, computer graphic, TUI technology, and five sensory technologies which apply humans' senses, are making advancement based on humans' visual features and sensory elements. In particular, the 3-D technology to display solidness provides not only representation but also new sensory experiences, and is emerging as the key technology to image contents. However, compared to the development of technology of 3-D graphics, there have been few basic studies on the principles of the sense of vision. Therefore, in this study, the principles and elements to sense videos will be examined. The sensory features of 3-D images to represent the sense of reality will be researched into, especially focusing on the experiential and physiological elements to sense 3-D structures, and the physical and psychological elements to sense shapes, which might be hopefully the basic study for producing 3-D contents.

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The formability of high strength steel plate applied TRB for stamping (스탬핑용 고강도강 TRB 판재의 성형 특성)

  • Park, Hyun-kyung;Jeong, Ji-Won;Lee, Gyung-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.5
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    • pp.184-189
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    • 2018
  • Recently, research on lightweight automobiles is increasing continuously to respond to the high safety standards and environmental regulations. The application of high strength steel is one of the effective methods for developing lightweight car bodies. A TWB (Tailor Welded Blank) is major method that allows partial high strength with light weighting using a multi-thickness and multi-material welded blank. On the other hand, additional welding process is required to prepare the blank and quality control for the welding process also required. To secure this point, the TRB (Tailor Rolled Blank) method was suggested. In the TRB method, the thickness of sheet is controlled by the rolling presses and the production efficiency is much higher than welding in TWB methods. In this study, the formability of high strength TRB steel plate was analyzed to examine the rolling effect of the blank. The formability of the specimen was tested using 0.8 and 1 mm thick steel sheets for the TRB plate. The strain was analyzed by the digital image sensing of grid markings on the specimen and the forming limit diagram was calculated. An Erichsen test for the 0.8 and 1 mm thick TRB specimens was carried out and the formability was investigated by comparing with FE analysis.

An Study on World Geography Lessons Using Local Multi-cultural Activities and the CCAP (Cross-Cultural Awareness programme) (지역 다문화 활동과 CCAP를 활용한 세계지리 수업에 관한 연구)

  • Kim, Si-Gu;Cho, Chul-Ki;Jo, Hyun-Mi
    • Journal of the Korean association of regional geographers
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    • v.17 no.2
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    • pp.231-244
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    • 2011
  • This study is to examine how activities using local multi -cultural resources and world geography lessons using the CCAP(Cross-Cultural Awareness Programme) affect students' multi-cultural understanding. Activities using local multi-cultural resources were carried by visiting in an alien worker community, volunteering in multicultural center, attending on UNESCO ASP(Associated School Program), and making radio broadcasting program associated with 'SCN FM' which is a local broadcasting station on the weekend. And world geography lessons using the CCAP were conducted with 5 classes including orientation by inviting foreign instructors from that place after reconstructing the Southeast and South Asia unit of the countries such as Pakistan, the Philippines, Myanmar and Cambodia. According to twice questionnaire survey conducted before and after activities using local multi-cultural resources and world geography lessons using the CCAP, it appeared that students had familiarity more than before through direct meeting with foreigners inside and outside classroom, and understood and respected other cultures by acquiring contextual regional knowledge. In the end, multi-cultural activities and world geography lessons using the CCAP contributed to students' global citizenship, which overcame prejudice toward third world cultures. Like that, if world geography classes provide continually students with opportunities to experience directly diverse cultures inside and outside classroom, world geography overcome negative image that it transmit decontextual regional knowledge and is regarded as the subject that is very fit for nurturing global citizenship based on contextual knowledge, consideration and tolerance needed in global and multi-cultural society.

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Development of a CNN-based Cross Point Detection Algorithm for an Air Duct Cleaning Robot (CNN 기반 공조 덕트 청소 로봇의 교차점 검출 알고리듬 개발)

  • Yi, Sarang;Noh, Eunsol;Hong, Seokmoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.8
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    • pp.1-8
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    • 2020
  • Air ducts installed for ventilation inside buildings accumulate contaminants during their service life. Robots are installed to clean the air duct at low cost, but they are still not fully automated and depend on manpower. In this study, an intersection detection algorithm for autonomous driving was applied to an air duct cleaning robot. Autonomous driving of the robot was achieved by calculating the distance and angle between the extracted point and the center point through the intersection detection algorithm from the camera image mounted on the robot. The training data consisted of CAD images of the duct interior as well as the cross-point coordinates and angles between the two boundary lines. The deep learning-based CNN model was applied as a detection algorithm. For training, the cross-point coordinates were obtained from CAD images. The accuracy was determined based on the differences in the actual and predicted areas and distances. A cleaning robot prototype was designed, consisting of a frame, a Raspberry Pi computer, a control unit and a drive unit. The algorithm was validated by video imagery of the robot in operation. The algorithm can be applied to vehicles operating in similar environments.

Hand Gesture Recognition Algorithm Robust to Complex Image (복잡한 영상에 강인한 손동작 인식 방법)

  • Park, Sang-Yun;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.13 no.7
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    • pp.1000-1015
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    • 2010
  • In this paper, we propose a novel algorithm for hand gesture recognition. The hand detection method is based on human skin color, and we use the boundary energy information to locate the hand region accurately, then the moment method will be employed to locate the hand palm center. Hand gesture recognition can be separated into 2 step: firstly, the hand posture recognition: we employ the parallel NNs to deal with problem of hand posture recognition, pattern of a hand posture can be extracted by utilize the fitting ellipses method, which separates the detected hand region by 12 ellipses and calculates the white pixels rate in ellipse line. the pattern will be input to the NNs with 12 input nodes, the NNs contains 4 output nodes, each output node out a value within 0~1, the posture is then represented by composed of the 4 output codes. Secondly, the hand gesture tracking and recognition: we employed the Kalman filter to predict the position information of gesture to create the position sequence, distance relationship between positions will be used to confirm the gesture. The simulation have been performed on Windows XP to evaluate the efficiency of the algorithm, for recognizing the hand posture, we used 300 training images to train the recognizing machine and used 200 images to test the machine, the correct number is up to 194. And for testing the hand tracking recognition part, we make 1200 times gesture (each gesture 400 times), the total correct number is 1002 times. These results shows that the proposed gesture recognition algorithm can achieve an endurable job for detecting the hand and its' gesture.

A Massively Parallel Algorithm for Fuzzy Vector Quantization (퍼지 벡터 양자화를 위한 대규모 병렬 알고리즘)

  • Huynh, Luong Van;Kim, Cheol-Hong;Kim, Jong-Myon
    • The KIPS Transactions:PartA
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    • v.16A no.6
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    • pp.411-418
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    • 2009
  • Vector quantization algorithm based on fuzzy clustering has been widely used in the field of data compression since the use of fuzzy clustering analysis in the early stages of a vector quantization process can make this process less sensitive to its initialization. However, the process of fuzzy clustering is computationally very intensive because of its complex framework for the quantitative formulation of the uncertainty involved in the training vector space. To overcome the computational burden of the process, this paper introduces an array architecture for the implementation of fuzzy vector quantization (FVQ). The arrayarchitecture, which consists of 4,096 processing elements (PEs), provides a computationally efficient solution by employing an effective vector assignment strategy during the clustering process. Experimental results indicatethat the proposed parallel implementation providessignificantly greater performance and efficiency than appropriately scaled alternative array systems. In addition, the proposed parallel implementation provides 1000x greater performance and 100x higher energy efficiency than other implementations using today's ARMand TI DSP processors in the same 130nm technology. These results demonstrate that the proposed parallel implementation shows the potential for improved performance and energy efficiency.

Evaluation of the Modulation Transfer Function for Computed Tomography by Using American Association Physics Medicine Phantom (컴퓨터단층검사에서 AAPM Phantom을 이용한 변조전달함수 평가)

  • Kim, Ki-Won;Choi, Kwan-Woo;Jeong, Hoi-Woun;Jang, Seo-Goo;Kwon, Kyung-Tae;Son, Soon-Yong;Son, Jin-Hyun;Min, Jung-Whan
    • Journal of radiological science and technology
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    • v.39 no.2
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    • pp.193-198
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    • 2016
  • In clinical computed tomography (CT), regular quality assurance (QA) has been required. This study is to evaluate the MTF for analyzing the spatial resolution using AAPM phantom in CT exam. The dual source somatom definition flash (siemens healthcare, forchheim, Germany), the brilliance 64 (philips medical system Netherlands) and aquilion 64 (toshiba medical system, Japan) were used in this study. The quantitative evaluation was performed using the image J (wayne rasband national institutes of health, USA) and chart method which is measurement of modulation transfer function (MTF). In MTF evaluation, the spatial frequencies corresponding to the 50% MTF for the CT systems were 0.58, 0.28, and $0.59mm^{-1}$, respectively and the 10% MTF for the CT systems were 1.63, 0.89, and $1.21mm^{-1}$, respectively. This study could evaluate the characteristic of spatial resolution of MTF using chart method, suggesting the quantitative evaluation method using the data.

Strength Properties of Wooden Retaining Walls Manufactured with Pinus rigida Miller

  • Park, Jun-Chul;Kim, Keon-Ho;Lee, Dong-Heub;Son, Dong-Won;Hong, Soon-Il
    • Journal of the Korean Wood Science and Technology
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    • v.39 no.2
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    • pp.140-147
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    • 2011
  • The strength properties of wooden retaining wall which was made with pitch pine were evaluated. Wooden retaining wall was made with diameter 90 mm of pitch pine round posts treated with CUAZ-2 (Copper Azole). The length of the front stretcher of the retaining wall was 3,000 mm. The distance between the headers (the notched member) is 1,000 mm in center and is 900 mm in side. There were connections every 2,000 mm because actually the length of stretcher is limited in the retaining wall. The strength test was carried out according to connection type because the section between stretchers can act as a defect. A result of the strength test according to connection type confirms that connection does not act as defect because the strength of retaining wall in single stretcher is similar to that in the section between stretchers. The strength test of the wooden retaining wall was carried out in 5 types according to the condition of the base section. When the upper soil pressure was 9.8 kN/$m^2$, the maximum load of the retaining wall fixing the front foundation shows higher values than those of others. But the total deformation is lower in the retaining wall not to fix a base section than in that to fix a base section. It is thought that the retaining wall not to fix a base section shows low value because the deformation is distributed throughout the retaining wall and it is confirmed that the soil pressure affects supporting the structure because the deformation of the retaining wall under low pressure is 3~4 fold higher than those of others. The failure mode of the retaining wall is the overturning type because the high section is deformed. Mostly, the failure mode is the separation of the header in the notched section.

Face Detection Using A Selectively Attentional Hough Transform and Neural Network (선택적 주의집중 Hough 변환과 신경망을 이용한 얼굴 검출)

  • Choi, Il;Seo, Jung-Ik;Chien, Sung-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.4
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    • pp.93-101
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    • 2004
  • A face boundary can be approximated by an ellipse with five-dimensional parameters. This property allows an ellipse detection algorithm to be adapted to detecting faces. However, the construction of a huge five-dimensional parameter space for a Hough transform is quite unpractical. Accordingly, we Propose a selectively attentional Hough transform method for detecting faces from a symmetric contour in an image. The idea is based on the use of a constant aspect ratio for a face, gradient information, and scan-line-based orientation decomposition, thereby allowing a 5-dimensional problem to be decomposed into a two-dimensional one to compute a center with a specific orientation and an one-dimensional one to estimate a short axis. In addition, a two-point selection constraint using geometric and gradient information is also employed to increase the speed and cope with a cluttered background. After detecting candidate face regions using the proposed Hough transform, a multi-layer perceptron verifier is adopted to reject false positives. The proposed method was found to be relatively fast and promising.