• Title/Summary/Keyword: Priority Regions

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Exploratory Study on Selecting Priority Regions for the Expansion of Public Child Care Centers (국공립보육시설 확충을 위한 우선설치지역 선정의 탐색적 연구)

  • Shin, Na-Ry;Song, Shin-Yeong;Lee, Eun-Gyoung
    • Korean Journal of Human Ecology
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    • v.19 no.1
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    • pp.51-61
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    • 2010
  • The purpose of the current study was to select vulnerable regions with insufficient child care services based on an in-depth investigation of diverse regional characteristics and to establish a practical goal for the expansion of public child care centers through identifying priority regions in foremost need of public child care centers out of the vulnerable regions. The vulnerable regions were selected from both urban and rural areas with particular criterions to determine their critical situation. First of all, the number of children aged zero to five, private and public child care centers, and capacity and enrolment of the regional child care center were selected from towns (Eup) and townships (Myeon) within rural areas and neighborhoods (Dong) within urban areas to calculate the capacity fulfillment. Specifically, a dense population of low-income families inhabited within urban areas defined the region's vulnerable status for the analysis, whereas poor accessibility of a child care center within rural areas correspond to the lack of child care services. The analytical result displayed that a total of 456 towns and townships did not acquire child care centers. Out of 456 towns and townships, 162 were selected as priority regions. On the other hand, 546 neighborhoods corresponding to upper 30 percentiles of urban area where children receive basic subsidy for low income families were selected as vulnerable regions. Out of 546 neighborhoods, 243 were selected as priority regions according to the analytical result.

A Study on the Selection of Non-point Pollution Management Regions with High Priority Order in the Yeongsan River Basin (영산강수계 비점오염원 중점관리지역 선정에 관한 연구)

  • Lee, JaeChoon;Park, HyeLin;Lim, ByungJin;Lee, ChangHee;Lee, SuWoong;Lee, YongWoon
    • Korean Journal of Ecology and Environment
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    • v.45 no.4
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    • pp.347-355
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    • 2012
  • In this study, non-point pollution sources in the Yeongsan river basin are analyzed; then, the priority regions (areas divided on a small scale) of management are selected for efficient water management of the Seungcheon and Jooksan reservoirs, which were constructed as one of the 4 major rivers restoration projects. The priority regions are decided by using the criteria of the excessive rate of target water quality, non-point pollution load per unit area, total TP load and down flow distance. The results of this study are as follows. The upper 10% of the priority regions for non-point pollution management includes YB15, YB05, YB10, YB24, YB14 and YB11 for the Seungcheon reservoir watershed, and YC24, YC25, YC30, YC34, YC22 and YC17 for the Jooksan reservoir watershed. However, a few regions in each of the Seungcheon and Jooksan reservoirs need to be selected in higher order, and the non-point pollution removal facilities in the regions need to be installed with respect to budget, urgent matter, and so on.

Where and Why? A Novel Approach for Prioritizing Implementation Points of Public CCTVs using Urban Big Data

  • Ji Hye Park;Daehwan Kim;Keon Chul Park
    • Journal of Internet Computing and Services
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    • v.24 no.5
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    • pp.97-106
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    • 2023
  • Citizens' demand for public CCTVs continues to rise, along with an increase in variouscrimes and social problems in cities. In line with the needs of citizens, the Seoul Metropolitan Government began installing CCTV cameras in 2010, and the number of new installations has increased by over 10% each year. As the large surveillance system represents a substantial budget item for the city, decision-making on location selection should be guided by reasonable standards. The purpose of this study is to improve the existing related models(such as public CCTV priority location analysis manuals) to establish the methodology foranalyzing priority regions ofSeoul-type public CCTVs and propose new mid- to long-term installation goals. Additionally, using the improved methodology, we determine the CCTV priority status of 25 autonomous districts across Seoul and calculate the goals. Through its results, this study suggests improvements to existing models by addressing their limitations, such as the sustainability of input data, the conversion of existing general-purpose models to urban models, and the expansion of basic local government-level models to metropolitan government levels. The results can also be applied to other metropolitan areas and are used by the Seoul Metropolitan Government in its CCTV operation policy

Efficient Signal Filling Method Using Watershed Algorithm for MRC-based Image Compression (MRC 기반의 영상 부호화를 위한 분수령 알고리즘을 이용한 효과적인 신호 채움 기법)

  • Park, Sang-Hyo;Lee, Si-Woong
    • The Journal of the Korea Contents Association
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    • v.15 no.2
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    • pp.21-30
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    • 2015
  • Image coding based on mixed raster content model generates don't care regions (DCR) in foreground and background layers, and its overall coding performance is greatly affected by region filling methods for DCRs. Most conventional methods for DCR filling fail in utilizing the local signal properties in hole regions and thus the high frequency components in non-DCR regions are reflected into DCR after signal filling. In addition, further high frequency components are induced to the filled signal because of signal discontinuities in the boundary of DCR. To solve this problem, a new DCR filling algorithm using the priority-based adaptive region growing is proposed in this paper. The proposed method uses the watershed algorithm and the flooding priority of each pixel for region filling is determined from the degree of smoothness in the neighborhood area. By growing the filled region into DCR based on the computed priority, the expansion of high-textured area can be minimized which can improve the overall coding performance. Experimental results show that the proposed method outperforms conventional algorithms.

An Analysis of the Urban Regeneration Priority Regions Project Using Quantitative Evaluation Indicators - In Case study of Cheonan Priority Regions - (정량적 평가지표를 활용한 도시재생 선도지역 사업효과 분석 - 천안시 선도지역을 사례로 -)

  • Lyu, Shin-Hyun;Lim, Nam-Gi
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.10
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    • pp.83-90
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    • 2019
  • The purpose of the present study is to confirm, through quantitative indices, changes arising with the implementation of urban regeneration projects, with a specific focus on the case of Dongnam-gu, Cheonan, one of the 13 priority rgions in urban regeneration. By utilizing quantitative data including resident population, floating population, revenue, number of small business persons, number of startup companies, and number of licensed buildings, the study confirmed changes in Dongnam-gu and other urban regeneration areas. The study compared monitoring results and implemented project policies to confirm changes within the area as a result of project implementation. Additionally, resident perception toward business districts was surveyed to confirm changes in perception and opinion, and monitoring indices were used to confirm changes as a result of project implementation. Accordingly, the study presented a plan to carry out the assessment of urban regeneration projects, which can be employed as data for conducting future urban regeneration projects. Urban regeneration projects are carried out for the long-term. Therefore, based on monitoring and investigative data, they require constant policy suggestions and periodic monitoring in accordance with changes resulting from project implementation. With regards to the effective range of urban regeneration projects, the study confirmed the possibility of an effect not only in the area of project implementation but also in surrounding areas. However, because the study merely confirms changes in Dongnam-gu, Cheonan, additional research is necessary to ascertain assessment plans suitable to the different types and regional characteristics of urban regeneration projects.

A Study on Preference and Food Satisfaction of the Preschool Children Foodservice in Taegu (어린이집 급식에 대한 식품 기호도 및 만족도 조사 연구)

  • 이선주;박어진;박금순
    • Journal of the East Asian Society of Dietary Life
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    • v.9 no.1
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    • pp.35-45
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    • 1999
  • This study was conducted to investigate mean height, weight, food preference and satisfaction of 231 children in preschool in four different regions(Susung-ku, Jung-ku, Nam-ku, Dalseo-ku) of Taegu. Mean height of the children was increased by priority of Jung-ku, Dalseo-ku, Susung-ku and Nam-ku, and mean weight was of Jung-ku, Susung-ku, Dalseo-ku and Nam-ku. In food preference, boiled rice had the highest score of cooked rices in all of the different regions, jajangmyun had the highest score of noodles in Susung-ku, Jung-ku and Dalseo-ku. Cake had the hightest score of breads in Susung-ku and had significantly difference all the kind of other lesions. Songpyun had the highest score of rice cakes in all four regions. Jangjorim had the highest score of jorim foods in all four regions, but anchovy and green pepper jorim had the lowest. Toasted lavor and steamed chicken had the highest of toasted foods and steamed foods, respectively. Salads had the highest of muchimryu cooked potherbs and salads in all regions but kimchi and jangachi had low scores. Sujungkua had the lowest scores of beverages in all regions, but chocolate had the highest scores of cookies. In food intake satisfaction according to the regions, regularity, variety, hygiene, amount, and quantity of meal had the highest in dalseo-ku. Food temperature was highest in susung-ku. There was a direct correlation between type of housing and satisfaction in diversity of foods.

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Global Patterns of Pigment Concentration, Cloud Cover, and Sun Glint: Application to the OSMI Data Collection Planning

  • Kim, Yong-Seung;Kang, Chi-Ho;Lim, Hyo-Suk
    • Proceedings of the KSRS Conference
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    • 1998.09a
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    • pp.387-392
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    • 1998
  • To establish a monthly data collection planning for the Ocean Scanning Multispectral Imager (OSMI), we have examined the global patterns of three impacting factors: pigment concentration, cloud cover, and sun glint. Other than satellite mission constraints (e.g., duty cycle), these three factors are considered critical for the OSMI data collection. The Nimbus-7 Coastal Zone Color Scanner (CZCS) monthly mean products and the International Satellite Cloud Climatology Project (ISCCP) monthly mean products (C2) were used for the analysis of pigment concentration and cloud cover distributions, respectively. And the monthly simulated patterns of sun glint were produced by performing the OSMI orbit prediction and the calculation of sun glint radiances at the top-of-atmosphere (TOA). Using monthly statistics (mean and/or standard deviation) of each factor in the above for a given 10$^{\circ}$ latitude by 10$^{\circ}$ longitude grid, we generated the priority map for each month. The priority maps of three factors for each month were subsequently superimposed to visualize the impact of three factors in all. The initial results illustrated that a large part of oceans in the summer hemisphere was classified into the low priority regions because of seasonal changes of clouds and sun illumination. Sensitivity tests were performed to see how cloud cover and sun glint affect the priority determined by pigment concentration distributions, and consequently to minimize their seasonal effects upon the data collection planning.

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Priority Analysis of Factors for Activating Medical Tourism in Busan Using AHP (AHP를 이용한 부산지역 의료관광 활성화 요인 우선순위 분석)

  • Kim, Kyung-Eok;Yang, Dong-Hyun
    • Korea Journal of Hospital Management
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    • v.16 no.2
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    • pp.78-97
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    • 2011
  • The purpose of this study is to analyze activating factors of medical tourism at Busan, and then decide on priority on the factors. As research methods, this study deduced priority of specialists' opinions by AHP analysis technique through structuralized questionnaire on the medical tourism's factors having been suggested from existing prior studies. The analysis results were same as followings. First, as a result of analysis on the main criteria, relative levels of importance were appeared high such as 'competitiveness', 'policy assistances from the government', 'medical care's infrastructure', and 'connectedness with regions' in order. Second, as a result of integrated results analyzing detailed criteria on the main evaluation standards, relative levels of importance were appeared high such as 'medical quality', 'health-related institution's improvement', 'medical infrastructure', 'medical charge', 'tourism-related institution's improvement', 'convenience', 'medical cooperation possibilities', and 'local industry compliance' in order. In conclusion, it is judged that activation of medical tourism shall be propelled after considering relative levels of importance on many policies or activating factors same as suggested in this study.

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Determination of Forest Road Construction Priority Order Using Multiple Criteria Decision Making Methods (다기준의사결정법(多基準意思決定法)에 의한 임도개설순위(林道開設順位)의 결정(決定))

  • Cha, Du Song;Cho, Koo Hyun;Kim, Jong Yoon
    • Journal of Korean Society of Forest Science
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    • v.85 no.2
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    • pp.149-157
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    • 1996
  • The applications of multiple criteria decision making(MCDM) methods were investigated to determine the priority order in forest road construction for timber harvesting and silvicultrual activities in 22 regions. In this paper, MCDM methods have five methods from two kinds of models. The one is non-compensatory preference model including maximin and maximax method; the other is compensatory preference model including simple additive weighting method(SAW), hierarchical additive weighting method(HAW) and technique for order preference by similarity to ideal solution(TOPSIS), SAW and TOPSIS methods turned out to be the most adequate for forest road construction priority order among the five methods tested in this study.

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Hierarchical Image Segmentation Based on HVS Characteristic for Region-Based Very Low Bit Rate Coding (영역기반 초저속 부호화를 위한 인간 시각 체계에 기반한 계층적 영상 분할)

  • Song, Kun-Woen;Park, Young-Sik;Han, Kyu-Phil;Nam, Jae-Yeal;Ha, Yeong-Ho
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.1
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    • pp.70-80
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    • 1999
  • In this paper, a new hierarchical image segmentation algorithm based on human visual system(HVS) characteristic is proposed which can efficiently reduce and control transmission information quantity without the degradation of the subjective and objective image quality. It consists of image segmentation based on mathematical morphology and region merging considering HVS characteristic for the pairs of two adjacent regions at each level of the hierarchy. Image segmentation is composed of 3-level hierarchical structure. In the region merging structure of each level, we extract the pairs of two adjacent regions which human vision can't discriminate, and then merge them. The proposed region merging method extracts pairs of two neighbor regions to be merged and performs region merging according to merging priority based on HVS characteristics. The merging priority for each adjacent pair is determined by the proposed merging priority function(MPF). First of all, the highest priority pair is merged. The information control factor is used to regulate the transmission information at each level. The proposed segmentation algorithm can efficiently improve bottleneck problem caused by excessive contour information at region-based very low bit rate coding. And it shows that it is more flexible structure than that of conventional method. In experimental results, though PSNR and the subjective image quality by the proposed algorithm is similar to that of conventional method, the contour information quantity to be transmitted is reduced considerably. Therefore it is an efficient image segmentation algorithm for region-based very low bit rate coding.

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