• Title/Summary/Keyword: MEAN IMPORTANCE VALUE

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The Value of Time in Intercity Freight Transportation (지역간 화물운송의 시간가치 추정)

  • 최창호;임강원
    • Journal of Korean Society of Transportation
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    • v.17 no.5
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    • pp.43-55
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    • 1999
  • The value of time in freight transportation describes the importance of goods during transport and shows the direction of efficient logistic management having inventory cost in transporting The value of time differs from class to class in freight transportation. It is due to the differences of shipper's willingness to Pay for time saving. In this research the value of time in intercity freight transportation of manufacturers in Korea was estimated as follows: first, the Perception factors which were the important criteria of shippers for choosing truck were sampled. second, the shippers were classified into three homogeneous classes. third, the value of time of each class was estimated by using multinominal logit model. The results of this research showed that the value of time in freight transportation was different from every class, that the shipper had to Pay 1,680 won for saving one hour Per each shipment, and that the inventory cost in transporting occupied 9.54% in the mean freight Price.

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Comparison of machine learning algorithms for Chl-a prediction in the middle of Nakdong River (focusing on water quality and quantity factors) (머신러닝 기법을 활용한 낙동강 중류 지역의 Chl-a 예측 알고리즘 비교 연구(수질인자 및 수량 중심으로))

  • Lee, Sang-Min;Park, Kyeong-Deok;Kim, Il-Kyu
    • Journal of Korean Society of Water and Wastewater
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    • v.34 no.4
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    • pp.277-288
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    • 2020
  • In this study, we performed algorithms to predict algae of Chlorophyll-a (Chl-a). Water quality and quantity data of the middle Nakdong River area were used. At first, the correlation analysis between Chl-a and water quality and quantity data was studied. We extracted ten factors of high importance for water quality and quantity data about the two weirs. Algorithms predicted how ten factors affected Chl-a occurrence. We performed algorithms about decision tree, random forest, elastic net, gradient boosting with Python. The root mean square error (RMSE) value was used to evaluate excellent algorithms. The gradient boosting showed 10.55 of RMSE value for the Gangjeonggoryeong (GG) site and 11.43 of RMSE value for the Dalsung (DS) site. The gradient boosting algorithm showed excellent results for GG and DS sites. Prediction value for the four algorithms was also evaluated through the Receiver operating characteristic (ROC) curve and Area under curve (AUC). As a result of the evaluation, the AUC value was 0.877 at GG site and the AUC value was 0.951 at DS site. So the algorithm's ability to interpret seemed to be excellent.

Species Diversity, Composition and Stand Structure of Tropical Deciduous Forests in Myanmar

  • Oo, Thaung Naing;Lee, Don Koo;Combalicer, Marilyn;Kyi, Yin Yin
    • Journal of Korean Society of Forest Science
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    • v.97 no.2
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    • pp.171-180
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    • 2008
  • The characterization of tree species and forest stand conditions is useful in the planning of activities aimed to conserve biodiversity. The main objective of this study was to describe tree species diversity, species composition and stand structure of tropical deciduous forests distributed in three regions in Myanmar. Forest inventory was conducted in the Oktwin teak bearing forest, the Letpanpin community forest and Alaungdaw Kathapa National Park. According to the Jackknife estimator of species richness, 85 species (${\pm}18.16$), 70 species (${\pm}5.88$) and 186 species (${\pm}17.10$) belonging to 31 families were found in the Oktwin teak bearing forest, 33 families in Letpanpin community forest and 53 families in Alaungdaw Kathapa national park, respectively. Shannon's diversity indices were significantly different among the forests (p<0.05). It ranged from 3.36 to 4.36. Mean tree density (n/ha) of the Oktwin teak bearing forest, Letpanpin community forest and Alaungdaw Kathapa National Park were 488 (${\pm}18.6$), 535 (${\pm}15.6$) and 412 (${\pm}14.1$), while basal areas per hectare were $46.96m^2({\pm}3.23),\;49.01m^2({\pm}5.08)\;and\;60.03m^2({\pm}3.88)$, respectively. At the family level, Verbenaceae, Myrtaceae and Combretaceae occupied the highest importance value index, while at the species level it was Tectona grandis, Lagerstoremia speciosa and Xylia xylocarpa.

Studies on the Structure of Abies koreana Community at Subalpine Zone in Hallasan (한라산(山) 아고산지대(亞高山地帶) 구상나무림 군집구조(群集構造)에 관한 연구(硏究))

  • Kim, Gab-Tae;Choo, Gab-Chul;Um, Tae-Won
    • Korean Journal of Environment and Ecology
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    • v.21 no.2
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    • pp.161-167
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    • 2007
  • To investigate the structure and the conservation strategy of Korean native species, the Abies koreana forest at sub-alpine zone centering on the Witsaeorum(1,714m) shelter in Hallasan National Park was selected for a survey subject with 20 plots $(10{\times}10m)$ set up with random sampling method. Mean importance percent(MIP) of Abies koreana showed the highest numerical value-57.7%, and that of faxus cuspidata was the next value-16.2%. High positive correlations were shown between Taxus cuspidata and Prunus maximowiczii, Euonymus alatus; Betula ermani and Berberis amurensis var. quelpaertensis, Prunus sargentii; Prunus maximowiczii and Euonymus alatus; Berberis amurensis var. quelpaertensis and Prunus sargentii. Vigor of Abies koreana was so low that as much as 6.44% of total number of Abies Koreana investigated were dead. DBH of dead individuals ranged mainly from 5cm to 15cm.

Ecological Characteristics of Abies koreana Forest on Seseok in Mt. Jiri (지리산 세석지역 구상나무 임분의 생태적 특성)

  • Cho, Min-Gi;Chung, Jae-Min;Kim, Tae-Woon;Kim, Chung-Yeol;Noh, Il;Moon, Hyun-Shik
    • Journal of Climate Change Research
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    • v.6 no.4
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    • pp.379-388
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    • 2015
  • The purpose of the this study was to provide basic data on reasonable management for Abies koreana in Mt. Jiri through analysis the ecological characteristics of Abies koreana forests on Seseok. Due to low soil pH (4.26), high organic matter (10.5%) and total N (0.32%), the soil properties of A. koreana forest on Seseok are different from those of other forest soil in Korea. According to the result of importance value analysis, A. koreana (70.5) for tree layer, A. koreana (37.6) and Rhododendron schlippenbachii (20.8) for subtree layer and A. koreana (12.6), Sasa borealis (11.5) and Acer pseudosieboldianum (11.2) for shrub layer were high, respectively. The species diversity of Shannon was 0.425 for tree layer, 0.869 for subtree layer and 1.320 for shrub layer. Evenness and dominance for all layers ranged from 0.365 to 0.894 and 0.187 to 0.635, respectively. Height growth according to DBH of A. koreana on Seseok was relative high. Annual mean tree ring growth of A. koreana showed up 1.372, 1.557 and 1.483 mm/yr for small, middle and large diameter tree, respectively. Considering the importance value, distribution of seedling, height growth and ring growth, A. koreana forest on Seseok in Mt. Jiri will be maintained as the major population from now on.

A study on EPB shield TBM face pressure prediction using machine learning algorithms (머신러닝 기법을 활용한 토압식 쉴드TBM 막장압 예측에 관한 연구)

  • Kwon, Kibeom;Choi, Hangseok;Oh, Ju-Young;Kim, Dongku
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.24 no.2
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    • pp.217-230
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    • 2022
  • The adequate control of TBM face pressure is of vital importance to maintain face stability by preventing face collapse and surface settlement. An EPB shield TBM excavates the ground by applying face pressure with the excavated soil in the pressure chamber. One of the challenges during the EPB shield TBM operation is the control of face pressure due to difficulty in managing the excavated soil. In this study, the face pressure of an EPB shield TBM was predicted using the geological and operational data acquired from a domestic TBM tunnel site. Four machine learning algorithms: KNN (K-Nearest Neighbors), SVM (Support Vector Machine), RF (Random Forest), and XGB (eXtreme Gradient Boosting) were applied to predict the face pressure. The model comparison results showed that the RF model yielded the lowest RMSE (Root Mean Square Error) value of 7.35 kPa. Therefore, the RF model was selected as the optimal machine learning algorithm. In addition, the feature importance of the RF model was analyzed to evaluate appropriately the influence of each feature on the face pressure. The water pressure indicated the highest influence, and the importance of the geological conditions was higher in general than that of the operation features in the considered site.

Stochastic FE analysis of semi-infinite domain using infinite elements (무한요소를 이용한 반무한영역의 추계론적 유한요소해석)

  • 최창근;노혁천
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1998.10a
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    • pp.11-18
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    • 1998
  • In this paper the stochastic analysis of semi-infinite domain is presented using the weighted integral method, which is expanded to include the infinite finite elements. The semi-infinite domain can be thought as to have more uncertainties than the ordinary finite domain in material constants, which shows the needs of and the importance of the stochastic finite element analysis. The Bettess's infinite element is adopted with the theoretical decomposition of the strain matrix to calculate the deviatoric stiffness of the semi-infinite domains. The calculated value of mean and the covariance of the displacement are revealed to be larger than those given by the finite domain assumptions giving the rational results which should be considered in the design of structures on semi-infinite domains.

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A Study on Call Center Callers' Job Attitude and Turnover Intention

  • Lee, Seok-In;Lee, Su-Wha
    • International Journal of Contents
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    • v.5 no.3
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    • pp.1-7
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    • 2009
  • The importance and the value of call center callers are increasing since they play very crucial roles as representatives of their companies at the closest contact point with customers. However, they have low satisfaction at work and are more likely to leave their jobs due to the fact that they are exhausted from heavy work load; they provide less pay and less chance for promotion than other jobs in the same industry. The high turnover costs companies high expenses on finding and training new callers. In the mean time, customer satisfaction may drop and it can give the customers negative image of the company. Therefore, solutions are required to keep the turnover of call center callers to the minimum. In this study, call center employees in Gwangju area were investigated for their job attitude and turnover intention. Based on the results, several implications are suggested.

Probability distribution and statistical moments of the maximum wind velocity

  • Schettini, Evelia;Solari, Giovanni
    • Wind and Structures
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    • v.1 no.4
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    • pp.287-302
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    • 1998
  • This paper formulates a probabilistic model which is able to represent the maximum instantaneous wind velocity. Unlike the classical methods, where the randomness is circumscribed within the mean maximum component, this model relies also on the randomness of the maximum value of the turbulent fluctuation. The application of the FOSM method furnishes the first and second statistical moments in closed form. The comparison between the results herein obtained and those supplied by classical methods points out the central role of the turbulence intensity. Its importance is exalted when extending the analysis from the wind velocity to the wind pressure.

Correlations among Life Stress, Sleep, Anthropometric Measurement and Nutrient Intakes of College Students (일부 지역 대학생의 생활 스트레스와 수면, 신체계측, 영양소섭취 상태와의 상관관계)

  • Sung, Min-Jung;Chang, Kyung-Ja
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.36 no.7
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    • pp.840-848
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    • 2007
  • This study was performed in order to investigate the stress levels, sleep, anthropometric measurement and nutrient intakes their correlations of college students. General characteristics, stress scores using a stress test, sleep scores using a sleep test, anthropometric measurement, body composition using Inbody 3.0 and nutrient intakes using 3-day recalls were measured in 353 subjects (183 males and 170 females). Mean total stress score of the male students was 68.2${\pm}$45.0 and that of the female students was 86.5${\pm}$48.7. Stress for study, future, economic and value-related factors were higher than other factors in both male and female students. Female students were more stressed than male in friend, family, study, future and value-related factors. Mean sleeping time and sleep scores of the male students were 7.0 hrs and 40.6${\pm}$5.7, respectively and that of the female students were 7.1 hrs and 41.5${\pm}$5.3, respectively. Mean height, weight, percent body fat (PBF) and waist-hip ratio (WHR) of the male students were 174.8 cm, 73.3 kg, 19.0% and 0.84, respectively. Mean height, weight, PBF, and WHR of the female students were 161.7 cm, 55.3 kg, 28.7% and 0.81, respectively. Mean energy and protein intakes of the male students were 2026.3 kcal (77.9% EER) and 83.0 g (150.9% RI) and those of the female students were 1538.2 kcal (73.2% EER) and 60.7 g (134.9% RI), respectively. In male students, sleep duration, professor and future problem showed significantly negative correlation (p<0.05). For both male and female students, in correlations between sleep scores, life stress experience frequency and importance, the total scores showed significantly negative correlation (p<0.01). Sleep scores (sleep quality) have more significant correlation than sleep duration in life stress. In male students, correlations between economic problem and weight, waist circumference and hip circumference showed significantly negative correlation. In female students, correlations between different gender problem and body mass index (p<0.05), PBF (p<0.01), WHR (p<0.01) and obesity degree (p<0.05) showed significantly negative correlation while correlation between study problem and PBF (p<0.05), WHR (p<0.05) showed significantly positive correlation. In male students, there were significantly positive correlations between life stress experience frequency and carbohydrate calcium, iron, vitamin A; correlation between importance and calcium, iron as well as correlation between total life stress scores and iron (p<0.05). In female students, correlation between life stress experience frequency and thiamin along with correlation between importance and thiamin showed significant negative correlation (p<0.05). College students need to practice good life habits for the purpose of correctly managing life stress.