• Title/Summary/Keyword: 가중치 산출

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Development of Korean Container Freight Index Based on Trade Volume (물동량 기반의 한국 정기선 운임지수 개발)

  • Choi, Jung-Suk;Hwang, Doo-Gun
    • Journal of Korea Port Economic Association
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    • v.33 no.3
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    • pp.53-68
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    • 2017
  • The purpose of this study is to develop a new Korean container freight index by applying weights based on the global trade volume. To achieve this, it was decided to determine the conditions such as establishment of routes and regions, weighting of trade volumes which based on prior research and expert advice. Based on this, the individual index and regional index and composite index were calculated, and then reliability and statistical significance of the index was verified through correlation analysis and Granger causality analyses. This study suggest the following findings, through the development of the Korean container freight index. Firstly, Korean freight index reflects the overall market situation and can be used as a benchmark for determining the conditions of each market, consisting of criteria of region and routes. Secondly, it is possible to reflect the market conditions in which actual freight differences exist, since it has developed separate indexes for export and import routes. Finally, The composite index is the only index that reflects not only exports and imports but also 27 individual routes based on Busan, which is the most comprehensive indicator of the korean container freight market.

A Study on Adaptive Pattern Null Synthesis for Active Phased Array Antenna (능동위상배열안테나의 적응형 패턴 널 형성에 관한 연구)

  • Jung, Jin-Woo;Park, Sung-Il
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.3
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    • pp.407-416
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    • 2021
  • An active phased array antennas can not only electrically steer the beam by controlling the weighting of the excitation signal, but can also form a pattern null in the direction of the interference source. The weight of the excitation signal to steer the main beam can be easily calculated based on the position of the radiating element. In addition, the weight of the excited signal for pattern null formation can also be calculated by setting the required radiation pattern and using WLSM(Weighted Least Squares Method). However, in a general wireless communication network environment, the location of the interference source is unknown. Therefore, an adaptive pattern null synthesis is needed. In this paper, it was confirmed that pattern null synthesis according to the required radiation characteristic was possible. And based on this, adaptive pattern null synthesis into the direction of an interference source was studied using a binary search algorithm based on observation area. As a result of conducting a simulation based on the presented technique, it was confirmed that adaptive pattern null forming into the direction of an interference is possible in efficient way.

Study on Timber Yield Regulation Method using Probability Density Function (확률밀도함수를 이용한 목재수확조절법 연구)

  • Park, Jung-Mook;Lee, Jung-Soo;Lee, Ho-Sang;Park, Jin-Woo
    • Journal of Korean Society of Forest Science
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    • v.109 no.4
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    • pp.504-511
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    • 2020
  • This study estimated planned felling volumes to set targets for management planning of nationwide country-owned forests. Estimates were made using timber harvest prediction methods that use probability density functions, including area weighting (AW), area ratio weighting (ARW), and sample area change ratio weighting (SCRW). Country-owned forest areas in 2010 and 2015 were used to estimate planned felling volumes, as shown in basic forest statistics, and calculations were made assuming that the felling areas were the changes in the forest area over the 5-year period. For the age classes of V-VI, the average felling ages for AW, ARW, and SCRW were 5.41, 5.56, and 5.37, respectively, and the felling areas were 594,462, 586,704, and 580,852 ha, respectively, with ARW reaching closest to the actual changes. The actual changes in the areas and chi-squared test results were most stable with the SCRW method. This study showed that SCRW was more adequate than AW and ARW as a method to predict timber harvests for forest management planning.

A Fuzzy Weights Decision Method based on Degree of Contribution for Recognition of Insect Footprints (곤충 발자국 인식을 위한 기여도 기반의 퍼지 가중치 결정 방법)

  • Shin, Bok-Suk;Cha, Eui-Young;Woo, Young-Woon
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.12
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    • pp.55-62
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    • 2009
  • This paper proposes a decision method of fuzzy weights by utilizing degrees of contribution in order to classify insect footprint patterns having difficulties to classify species clearly. Insect footprints revealed delicately in the form of scattered spots since they are very small. Therefore it is not easy to define shape of footprints unlike other species, and there are lots of noises in the footprint patterns so that it is difficult to distinguish those from correct data. For these reasons, the extracted feature set has obvious feature values with some uncertain feature values, so we estimate weights according to degrees of contribution. If the one of feature values has distinct difference enough to decide a class among other classes, high weight is assigned to make classification. A calculated weight determines the membership values by fuzzy functions and objects are classified into the class having a superior value.atu present experimental resultseighrontribution. Iinsect footprints with noises by the proposed method.

Preparation of Landslide Hazard Map Using the Analysis of Historical Data and GIS Method (GIS 기법 및 발생자료 분석을 이용한 산사태 위험지도 작성)

  • Yun, Hong-Sik;Lee, Dong-Ha;Suh, Yong-Cheol
    • Journal of the Korean Association of Geographic Information Studies
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    • v.12 no.4
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    • pp.59-73
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    • 2009
  • In this study, we performed a GIS-based landslide hazard analysis by employing historical landslide data in Korea, coupling with geomorphological, geological, climatic and rainfall data. Based on 596 landslide data from 2001 to 2003, the correlations between landslide occurrence and various factors (elevation, slope angle, slope aspect, soil type and rainfall) that affect the occurrence were estimated by the statistical analysis, zonal statistics. The weights and hazard indices of 6 raster layers were derived from the estimated correlations in order to generate a landslide hazard map by applying raster calculation technique. As a result of this study, GIS technique can be used effectively to incorporate the landslide hazard contributions from various data sets simultaneously.

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Retrieval of Vertical Single-scattering albedo of Asian dust using Multi-wavelength Raman Lidar System (다파장 라만 라이다 시스템을 이용한 고도별 황사의 단산란 알베도 산출)

  • Noh, Youngmin;Lee, Chulkyu;Kim, Kwanchul;Shin, Sungkyun;Shin, Dongho;Choi, Sungchul
    • Korean Journal of Remote Sensing
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    • v.29 no.4
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    • pp.415-421
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    • 2013
  • A new approach to retrieve the single-scattering albedo (SSA) of Asian dust plume, mixed with pollution particles, using multi-wavelength Raman lidar system was suggested in this study. Asian dust plume was separated as dust and non-dust particle (i.e. spherical particle) by the particle depolarization ratio at 532 nm. The vertical profiles of optical properties (the particle extinction coefficient at 355 and 532 nm and backscatter coefficient at 355, 532 and 1064 nm) for non-dust particle were used as input parameter for the inversion algorithm. The inversion algorithm provides the vertical distribution of microphysical properties of non-dust particle only so that the estimation of the SSA for the Asian dust in mixing state was suggested in this study. In order to estimate the SSA for the mixed Asian dust, we combined the SSA of non-dust particles retrieved by the inversion algorithms with assumed the SSA of 0.96 at 532 nm for dust. The retrieved SSA of Asian dust plume by lidar data was compared with the Aerosol Robotics Network (AERONET) retrieved values and showed good agreement.

Comparison of Methods for the Analysis Percentile of Seismic Hazards (지진재해도의 백분위수 분석 방법 비교)

  • Rhee, Hyun-Me;Seo, Jung-Moon;Kim, Min-Kyu;Choi, In-Kil
    • Journal of the Earthquake Engineering Society of Korea
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    • v.15 no.2
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    • pp.43-51
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    • 2011
  • Probabilistic seismic hazard analysis (PSHA), which can effectively apply inevitable uncertainties in seismic data, considers a number of seismotectonic models and attenuation equations. The calculated hazard by PSHA is generally a value dependent on peak ground acceleration (PGA) and expresses the value as an annual exceedance probability. To represent the uncertainty range of a hazard which has occurred using various seismic data, a hazard curve figure shows both a mean curve and percentile curves (15, 50, and 85). The percentile performs an important role in that it indicates the uncertainty range of the calculated hazard, could be calculated using various methods by the relation of the weight and hazard. This study using the weight accumulation method, the weighted hazard method, the maximum likelihood method, and the moment method, has calculated the percentile of the computed hazard by PSHA on the Shinuljin 1, 2 site. The calculated percentile using the weight accumulation method, the weighted hazard method, and the maximum likelihood method, have similar trends and represent the range of all computed hazards by PSHA. The calculated percentile using the moment method effectively showed the range of hazards at the source which includes a site. This study suggests the moment method as effective percentile calculation method considering the almost same mean hazard for the seismotectonic model and a source which includes a site.

A method for producing normalized total score of BSC measures (BSC 지표의 정규화된 Total Score 산출 방법)

  • Kim, Su-Yeon;Hwang, Hyun-Seok;Hong, Jong-Yi
    • Journal of Korea Society of Industrial Information Systems
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    • v.12 no.5
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    • pp.163-172
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    • 2007
  • ESC has been used as a tool for evaluating overall performance of firms. ESC focuses mainly on building a balanced viewpoint comprising perspectives and their metrics. It is, therefore, difficult to value overall strategic achievements of a company derived by consolidating various perspectives and metrics. Because of the absence of a method for consolidating ESC metrics and computing total score based on these metrics, it is difficult to evaluate whole strategic performance and find core obstacle parts of performance. In this paper, we suggest a method of normalizing a numerical value of metrics with different units, and calculating the total score of ESC metrics. We conduct a case study of evaluating the effectiveness of CRM to illustrate the applicability and feasibility of the suggested method.

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The Development of Key Performance Indicators for Regional Co-Training Programs, Using Analytic Hierarchy Process Technique (가중치 분석을 적용한 지역공동형 훈련성과 평가지표 개발)

  • Lee, Youngmin
    • The Journal of the Korea Contents Association
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    • v.14 no.4
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    • pp.160-167
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    • 2014
  • The purpose of this paper was to develop the key performance indicators of regional co-training programs, using analytic hierarchy process method. Firstly, we pooled indicators by reviewing the literatures. The researcher checked the properness and representative of them and then, the training professionals reviewed them again. Finally, we finalized the indicators, depending on the indicator domains such as MOU (Memorandum of Agreement) company (the training participation rate of MOU companies, training participation of employees, and etc.), training performance (the completion of the program, employment rate, and etc.), cost-effectiveness (training cost per capita), satisfaction (satisfaction rate of MOU companies and training participants), and regional co-training enhancement (the operation of the committee, the will for training of the regional municipal government, and etc.). The weight size varied by the regional training needs, satisfaction of MOU companies, and regional committees of human resource development. We also suggested the continuous revision of the key performance indicators for regional co-training.

A study on the estimation of the renewable energy certificates(REC) weight considering the life cycle assessment(LCA) of greenhouse gas emission (전과정(LCA) 온실가스 평가를 고려한 신재생에너지 공급인증서 가중치 산정 방안 연구)

  • Beak, Hun;Kim, Tae Sung
    • Journal of the Korea Convergence Society
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    • v.11 no.8
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    • pp.173-182
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    • 2020
  • The government continuously improves the RPS system to expand the supply of renewable energy, but there has been criticism that more environmental aspects should be considered to reduce GHG emission. REC weights are differentiated according to renewable energy sources. Greenhouse gas emission is one of the decisive factors, and its value is set by experts' opinion. This study assigns LCA to get accurate value of GHG emission. The LCA calculates emitted greenhouse gases from entire process of fuel production, transportation, power plant construction, operation, and decommission. This study suggests a method to change the greenhouse gas reduction effect from the existing qualitative method to the quantitative method and evaluates them. As a result, the evaluation score is changed, but the tier interval is so large that it does not affect the REC weight. Therefore, this study suggests the way that directly reflect the greenhouse gas reduction effect in the REC weight.