• Title/Summary/Keyword: Integration Index Calculation Method

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Evaluating Subjective Landscape of Rural Region Using Additive Integration Index Calculation Model Focused on Seondong Region, Gochang-Gun, Jeollabuk-Do, Korea (가법형 통합지수 산정모형을 이용한 주관적 농촌경관 평가 : 전북 고창선동권역을 대상으로)

  • Ban, Yong-Un;Kim, Min-Ah;Jung, Jae-Ho;Baek, Jong-In
    • Journal of Korean Society of Rural Planning
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    • v.15 no.2
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    • pp.27-42
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    • 2009
  • This study has intended to evaluate the subjective landscape of rural region using additive integration index calculation model in Seondong region, Gochang-gun, Jeollabuk-do, Korea. This study consists of the following three steps. First, this study defmed the rural landscape using survey and developed the estimating equation for rural landscape assessment index. Second, this study set up assessment units and assessment indicators, then estimated mean of representative landscape adjectives in accordance with them through residents-participatory evaluation. Third, this study calculated rural landscape assessment index using additive integration index calculation model, and evaluated subjective landscape of rural region in accordance with space types and landscape fields through mapping methodology. The results of this study can be described as follows: 1) satisfaction level for landscape in accordance with village (urban area and residential area) was very high; 2) satisfaction level was very high in both Ye-Jeon reservoir and Hakwon farm, representative landscape resources of the study area.

Evaluating Objective Landscape of Rural Region Using Additive Integration Index Calculation Model - Focused on Seondong Region, Gochang-Gun, Jeollabuk-Do, Korea - (가법형 통합지수 산정모형을 이용한 농촌지역의 객관적 경관 평가 - 전북 고창선동권역을 대상으로 -)

  • Ban, Yong-Un;Lee, Yong-Hoon;Na, Sang-Il;Youn, Joong-Shuk;Baek, Jong-In
    • Journal of the Korean Institute of Landscape Architecture
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    • v.37 no.3
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    • pp.69-81
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    • 2009
  • This study was intended to evaluate the objective landscape of rural region using an additive integration index method in the Seondong region of Gochang-gun, Jeollabuk-do, Korea. This study consisted of the following three steps. First, this study developed an additive integration index calculation model for landscape assessment based on indicators and weight to each space type in accordance with three landscape fields which were developed by the expert Delphi method. Second, this study used NDVI (Normalized Difference Vegetation Index) and permeable area rate, which were available from high resolution satellite image, to calculate the green naturality degree, area rate, and building coverage respectively. Third, this study has calculated the landscape assessment index of rural regions using an additive integration index method made of assessment data and weight for each indicator. This study has found the following results: 1) landscape level was very poor in all 6 types of space, marking grade five; 2) while the highest level of natural landscape and mixed landscape was grade two, that of artificial landscape was grade five; 3) based on objective landscape, grade five showed the highest frequency, and grade one, two, three, and four followed in that order.

Developing Rural Landscape Evaluation Model and Its Application to Gochang-Seondong Region, Korea (통합적 농촌경관 평가모델 개발 및 적용 - 전북 고창선동권역을 대상으로 -)

  • Ban, Yong-Un;Lee, Yong-Hoon;Kim, Min-Ah;Choi, Na-Rae;Baek, Jong-In
    • Journal of Korean Society of Rural Planning
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    • v.20 no.4
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    • pp.25-33
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    • 2014
  • This study has intended to build a rural landscape evaluation model based on an integrated landscape assessment paradigm of rural region using an additive integration index method and applied the model to the Seondong Region of Gochang-gun, Jeollabuk-do, Korea. To reach this goal, this study developed a model to calculate Integrated Landscape Assessment Index. The model has employed the Objective Landscape Index, the Subjective Landscape Index, and the weighted values, and was applied to the Seondong region. This study has found the following results: 1) forests and water spaces were assessed with relatively better visual preferences and better landscape ecosystem; 2) the historic cultural area and scenic agriculture as well as general farm land were assessed with moderate ratings; and, 3) the villages included in development plan, their adjacent arable farming land, and the village watercourses were forming relatively poorer landscape.

Sparkover Voltage Estimation of Standard Sphere Gaps for Negative Polarity by Calculation of Ionization Index

  • Nishikori, Yasuo;Kojima, Soji;Kouno, Teruya
    • KIEE International Transactions on Electrophysics and Applications
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    • v.4C no.2
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    • pp.45-50
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    • 2004
  • The field utilization factor (equation omitted) (the mean electric field / the maximum electric field) of standard sphere gaps was calculated by the charge simulation method, taking into account the ground plane and shanks. n changes mainly with g/r and slightly with 1$_1$, 1$_2$ and 1, where D=2r is the sphere diameter, g is the gap length, 1$_1$ and 1$_2$, respectively, are the lengths of the upper and lower shank, and t is the shank diameter. Generally, (equation omitted) increases as 1$_1$,1$_2$ and t each becomes larger. IEC standard 60052(2002) limits t$\leq$0.2D 1$_1$$\geq$1D and prescribes A=1$_2$+D+g where A is the height of the spark point on the upper sphere. Therefore, (equation omitted) is the largest when A=9D and the smallest when A=3D. The simple equation of a straight line, (equation omitted)=1- (g/3r), can generally be used as a representative value of (equation omitted) for a wide variety of sphere diameters that are permitted by the IEC standard. The maximum electric field E$_{m}$ at sparkover of standard air gaps has also been calculated by the relation E$_{m}$=V/(equation omitted)g). E$_{m}$ describes a U-curve for g/r, up to the sphere diameter of 1 m. Moreover, for 1.5-m and 2-m diameters and especially .for negative polarity, sparkover voltages have been calculated by integration of the ionization index.index.

Development of Priority Calculation Models for Enacting and Revising the Korea Defense Standards and Specifications (국방표준 및 규격의 제·개정 우선순위 산출을 위한 모형 개발)

  • Sung, Si-Il;Kim, Hyeunggeun;Kim, Yong Soo;Bae, Sukjoo;Kim, Jun-Su;Kim, Jong-Man
    • Journal of Korean Society for Quality Management
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    • v.44 no.1
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    • pp.109-120
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    • 2016
  • Purpose: This study developed a method of determining priorities for evaluating and revising defense standards. Methods: The proposed data integration and refinement methods are used to obtain component reliability information and to determine the frequency of component citation based on Pareto analysis. Based on the reliability information and the frequency of cited components, the target components for quality improvement can be determined and improved using various methods, such as engineering changes, special meetings, additional training, and revising the maintenance manual. Results: Based on the proposed process, we identified components that need to be improved in order to enhance the quality and reliability. Conclusion: Our process will improve the quality and reliability of weapon systems. The proposed process can be adopted for various weapon systems to enhance their quality and reliability, and to reduce military spending.

Integrated Approach for Watershed Management in an Urban Area (도시 유역 관리를 위한 통합적인 접근방법)

  • Lee, Kil-Seong;Chung, Eun-Sung;Kim, Young-Oh
    • Journal of Korea Water Resources Association
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    • v.39 no.2 s.163
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    • pp.161-178
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    • 2006
  • Heathcote (1998) identified a systematic, seven-step approach to general watershed planning and management. It consists of 1) understanding watershed components and processes, 2) identifying and ranking problems to be solved, 3) setting clear and specific goals, 4) developing a list of management options, 5) eliminating infeasible options 6) testing the effectiveness of remaining feasible options, and 7) developing the final options. In this study the first five steps of that process were applied to the Anyangcheon watershed in Korea, which experiences streamflow depletion, frequent flood damages, and poor water quality typical of highly urbanized watersheds. This study employed four indices: Potential Flood Damage(PFD), Potential Streamflow Depletion(PSD), Potential Water Quality Deterioration(PWQD) and Watershed Evaluation Index(WEI) to identify and quantify problems within the watershed. WEI is the integration index of the others. Composite programming which is a method of multi-criteria decision making is applied for the calculation of PSD, PWQD and WEI (Step 2). The primary goal of the study is to secure instreamflow in the Anyangcheon during dry seasons. The second management goals of flood damage mitigation and water quality enhancement are also set (Step 3). Management options include not only structural measures that can alter the existing conditions, but also nonstructural measures that rely on changes in human behavior or management practices (Step 4). Certain management options which are not technically, economically, and environmentally feasible, are eliminated (Step S). Therefore, this study addresses a Pre-feasibility study, which established a master plan using Steps 1 through 5.