• Title/Summary/Keyword: Region

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Comparison of the Village Groves between Youngnam and Honam Mountainous Settlement Region - Centered on Jinan and Hamyang Region - (영.호남 산간지역 정주생활권 마을숲의 비교 - 전북 진안군과 경남 함양군 지역을 사례로 -)

  • 박재철;정경숙;김영숙;장혜화
    • Journal of the Korean Institute of Landscape Architecture
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    • v.30 no.1
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    • pp.11-17
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    • 2002
  • This paper compares the difference between the village groves in the Jinan settlement region and the Hamyang settlment region in Honam and the Youngnam mountainous region. The results are as follows: Fifty-one village groves in the Jinan legion were found and 40 village groves were found in the Hamyang region. It was established that the village groves in the Jinan region of Honam province were conserved better than those of Hamyang region of Youngnam province. In the Jinan area, the village groves were principally found in the Jinan-eup and the Hamyang regions, primarily in Seosang-myun and Aneui-myun. So it was determined that the village groves were distributed inequitably in the two regions. In L / W ratio, the Jinan region is 3.6 and Hamyang region is 2.0 Jinan is 1.8 times greater than Hamyang. Therefore, it was concluded that Jinan is stronger than Hamyang in linear function of the village groves. Stone stooge for complementation function was found in 11 village groves in the Jinan region and 6 village groves in Hamyang. So the percentage of the remaining stone storage is 15-20 % of all village groves. Regarding grove makeup, the village gloves in Jinan region is deciduous forest principally. In contrast, the groves of Hamyang are principally coniferous forest. The dominant tree of the Jinan-gun region is Zelkova serrata, but in Hamyang it is Pinus densiflrora. By number, Hamyang region has two times the trees than Jinan region. In density of stand, the Hamyang region is 76.2% higher than Jinan region. In height and diameter of trees, the Jinan region is greater than the Hamyang region. It was identified that RSI of both region is 40%. So in density of trees, both region are sparse. This paper has a limit in ideiltiting the differences between Yolmg-nam ar\ulcorner Hnam village groves because comparative review only examined two regions.

Scalable sub-region based inter-region interaction management for distributed virtual environments (분산 가상 환경을 위한 확장성 있는 서브 영역 기반의 영역간 상호작용 관리)

  • 임민규;이동만
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10c
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    • pp.203-205
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    • 1999
  • 분산 가상환경(DVE)이 대규모가 되어감에 따라, 고려해야 할 중요한 사항중의 하나는 확장성이다. DVE에 확장성을 지원하기 위한 여러 접근 방법 중의 하나는 region 분할 방법이다. 대부분의 DVE 시스템에서는 region은 분리되어 있으며 이웃한 region의 사용자들 사이의 상호작용이 지원된다. 하지만 사용자들은 항상 자신이 관심을 가지고 있는 이웃 region들 안의 모든 사용자 상태 정보를 알아야 한다. 이것은 region간 상호작용을 하는 사용자들에게 통신에 따른 부하가 많이 걸리게 되며 따라서 시스템 확장성이 떨어지게 된다. 본 연구에서는 region 관리자가 현재 region안의 사용자들에 대한 관심도가 높은 이웃 region안의 사용자들의 일부만 선택한다. 이를 통해 region안의 사용자들은 이웃 region으로부터 모든 갱신 메시지를 받지 않아도 된다. 본 연구를 통해 DVE 시스템은 확장성 있는 region안에서의 상호작용뿐만 아니라 region간 상호작용을 지원할 수 있다.

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Emphysema Region Pre-Detection Method for Emphysema Disease Diagnosis using Lung CT Images (흉부 CT 영상에서 폐기종질환진단을 위한 폐기종영역 사전 탐지 기법)

  • Saipullah, Khairul Muzzammil;Peng, Shao-Hu;Park, Min-Wook;Kim, Deok-Hwan
    • Proceedings of the Korean Information Science Society Conference
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    • 2010.06c
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    • pp.447-451
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    • 2010
  • In this paper, we propose a simple but effective algorithm to increase the speed of Emphysema region classification. Emphysema region classification method based on CT image consumes a lot of time because of the large number of subregions due to the large size of CT image. Some of the sub-regions contain no Emphysema and the classification of these regions is worthless. To speed up the classification process, we create an algorithm to select Emphysema region candidates and only use these candidates in the Emphysema region classification instead of all of the sub-regions. First, the lung region is detected. Then we threshold the lung region and only select the dark pixels because Emphysema only appeared in the dark area of the CT image. Then the thresholded pixels are clustered into a region that called the Emphysema pre-detected region or Emphysema region candidate. This region is then divided into sub-region for the Emphysema region classification. The experimental result shows that Emphysema region classification using predetected Emphysema region decreases the size of lung region which will result in about 84.51% of time reduction in Emphysema region classification.

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Effect of Land Transport Industry Growth on Economic Growth in Korean Metropolitan Regions (육상운송산업 성장의 광역권 경제성장에 대한 효과 분석)

  • Bong-Ho Choi
    • Korea Trade Review
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    • v.47 no.6
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    • pp.377-393
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    • 2022
  • This study aims to identify the effect of growth of the land transportation industry on economic growth and to provide implications for Korea's metropolitan region policy. The effect of each metropolitan region on the integrated region where each metropolitan region is integrated is as follows. First, The integrated region where each metropolitan region was integrated with the Southeast region and the Daegyeong region had the greatest economic growth effect due to the growth of the land transportation industry in terms of value added, but the effect of the integrated region with the Chungcheong region was the least. In the case of capital such as roads, the integrated metropolitan regions with the Chungcheong region showed the greatest economic effect. However, the impact of the integrated regions with Jeolla region and the Seoul metropolitan region is insignificant. These results suggest that the synergy effect of metropolitan regional integration by spillover effect such as networks should be considered in the land transportation industry policy.

Region Analysis of Business Card Images Acquired in PDA Using DCT and Information Pixel Density (DCT와 정보 화소 밀도를 이용한 PDA로 획득한 명함 영상에서의 영역 해석)

  • 김종흔;장익훈;김남철
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.8C
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    • pp.1159-1174
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    • 2004
  • In this paper, we present an efficient algorithm for region analysis of business card images acquired in a PDA by using DCT and information pixel density. The proposed method consists of three parts: region segmentation, information region classification, and text region classification. In the region segmentation, an input business card image is partitioned into 8 f8 blocks and the blocks are classified into information and background blocks using the normalized DCT energy in their low frequency bands. The input image is then segmented into information and background regions by region labeling on the classified blocks. In the information region classification, each information region is classified into picture region or text region by using a ratio of the DCT energy of horizontal and vertical edge components to that in low frequency band and a density of information pixels, that are black pixels in its binarized region. In the text region classification, each text region is classified into large character region or small character region by using the density of information pixels and an averaged horizontal and vertical run-lengths of information pixels. Experimental results show that the proposed method yields good performance of region segmentation, information region classification, and text region classification for test images of several types of business cards acquired by a PDA under various surrounding conditions. In addition, the error rates of the proposed region segmentation are about 2.2-10.1% lower than those of the conventional region segmentation methods. It is also shown that the error rates of the proposed information region classification is about 1.7% lower than that of the conventional information region classification method.

A Study on the Theory of Mountain Village Region in Korea of Globalization Age (세계화 시대의 한국 산지촌에 관한 이론연구)

  • Oh, Nam-Hyun
    • Journal of Korean Society of Rural Planning
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    • v.13 no.4
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    • pp.43-51
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    • 2007
  • The propose of this paper is to study a theory on the research of mountain village region in korea of globalization age. The theory of this study is over-depopulation region study, endogenous regional development theory and resident organization, localities and new regional studies The case of over-depopulation region study, which population and land use of mountain village region due to urbanization and industrialization are changed by external factors. However, the case of some region is changed by internal factors of community residents. The endogenous regional development theory and have approached by investment policy of authorities of the mountain village region development and resident organization. The development of mountain village region have to described simultaneously both behavior strategy of community residents and investment policy of the authorities. According to localities and new regional studies, which agricultural products of mountain village region is extended to big-scale city by the progress transportation-communication and globalzation So, the research of mountain village region have to explained together intra with inter region. In the future, the research of mountain village region has to described all of case of over-depopulation region study, endogenous regional development theory, localities and new regional studies.

The Contents Construction for Learning a Region (지성에 대한 학습 내용 구성에 관한 연구)

  • 윤옥경
    • Journal of the Korean Geographical Society
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    • v.39 no.1
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    • pp.153-168
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    • 2004
  • This study begins with the interests of the problems in learning a region under the Korean National Curriculum in geography field and the perceptions on the region which affects students 'formation of regional concept. The purposes of this study are to find problems in learning a region and to construct a new content for learning a region to improve the current problems. This study suggests that it is necessary for student to establish a clear concept on a region in order to effectively learn a region. Therefore, this study reviews how concepts on a region have changed and selects important elements in learning a region by considering a level of students' understanding. The important elements selected in this study are the definition of a region, the formation of a region, and the system of a region. By learning a real region established as a 'region for instruction' of a medium scale, students can reach an appropriate level of meaningful understanding of a region. This study found that an appropriate selection of scale in choosing the extent of a region was critical in success of effective organization of learning contents.

A Study on Speech Recognition Estimation of Cochlea Dead Region and Amplification Gains According to Frequency Bands (주파수 영역별 Cochlea Dead Region과 증폭 이득에 따른 어음인지능력 평가 연구)

  • Park, G.S.;Bang, D.H.;Lee, S.M.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.5 no.1
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    • pp.41-46
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    • 2011
  • A sensorineural hearing loss(SNHL) occurs when the cochlea in the inner has functional problem. The region in the cochlea with no(or very few) functioning inner hair cells or neurons called 'dead regions'. Amplification using hearing aid over a frequency range corresponding to a dead region may not a beneficial. In this paper, we compared speech recognition with different location of dead region and gain and searched effective gain for hearing aid with dead region. In order to experiment, eight people who has normal hearing ware tested, and we used white noise and babble noise(SNR=0 dB). we divided by three conditions, low, mid and high frequency dead region. In addition, the gains in dead region ware 14.5 dB, 11.5dB and 6 dB gain. There ware different results by location of dead region. The result of WRS and preference in mid-frequency dead region and high-frequency dead region ware higher than them in low-frequency dead region. When we compared as gains, the score of WRS with lower gain was higher than 14.5 dB gain, and the preference was lower as higher gain.

The Mathematical Relationship Between the Region of Efficient Objective Value and the Region of Weight in Multiple Objective Linear Programming (다목적 선형계획 문제의 유효 목적함수 영역과 가중치 수리적 관계에 관한 연구)

  • 소영섭
    • Journal of the Korean Operations Research and Management Science Society
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    • v.19 no.2
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    • pp.119-128
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    • 1994
  • There are three important regions im Multiple Objective Linear Programming (MOLP). One is the region of efficient solutions, another is the region of weight to be used for finding efficient solutions, the third is the region of efficient (nondominated) objective values. In this paper, first, we find the condition of extreme point in the region of efficient objective values. Second, we find that the sum of the dimension of the weight region and the dimension of efficient objective values region is constant. Using the above, it is shown that we find the shape and dimension of weight region corresponding to the given region or efficient objective values and vice versa.

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Very Low Bit Rate Video Coding Algorithm Using Uncovered Region Prediction (드러난 영역 예측을 이용한 초저 비트율 동영상 부호화)

  • 정영안;한성현;최종수;정차근
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.4
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    • pp.771-781
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    • 1997
  • In order to solve the problem of uncovered background region due to the region-due to the region-based motion estimation, this paper presents a new method which generates the uncovered region memory using motion estimation and shows the application of the algorithm for very low bit rate video coding. The proposed algorithm can be briefly described as follows it detects the changed region by using the information of FD(frame difference) and segmentation, and then as for only that region the backward motion estimation without transmission of shape information is done. Therefore, from only motion information the uncovered background region memory is generated and updated. The contents stored in the uncovered background region memory are referred whenever the uncovered region comes into existence. The regions with large prediction error are transformed and coded by using DCT. As results of simulation, the proposed algorithm shows the superior improvement in the subjective and objective image quality due to the remarkable reduction of transmission bits for prediction error.

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