• Title/Summary/Keyword: Best rate

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Development and implementation of statistical prediction procedure for field penetration index using ridge regression with best subset selection (최상부분집합이 고려된 능형회귀를 적용한 현장관입지수에 대한 통계적 예측기법 개발 및 적용)

  • Lee, Hang-Lo;Song, Ki-Il;Kim, Kyoung Yul
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.19 no.6
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    • pp.857-870
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    • 2017
  • The use of shield TBM is gradually increasing due to the urbanization of social infrastructures. Reliable estimation of advance rate is very important for accurate construction period and cost. For this purpose, it is required to develop the prediction model of advance rate that can consider the ground properties reasonably. Based on the database collected from field, statistical prediction procedure for field penetration index (FPI) was modularized in this study to calculate penetration rate of shield TBM. As output parameter, FPI was selected and various systems were included in this module such as, procedure of eliminating abnormal dataset, preprocessing of dataset and ridge regression with best subset selection. And it was finally validated by using field dataset.

Comparison of Seedling Growth by Treatments of Vegetation Basis in an Abandoned Coal Mine Area (석탄폐광지에서의 식생기반재 처리별 수목 초기 생육상황 비교)

  • Jeong, Yong-Ho;Lee, Im-Kyun;Lim, Joo-Hoon;Seo, Kyung-Won;Lee, Choong-Hwa
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.13 no.6
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    • pp.87-96
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    • 2010
  • This study was conducted to select environmentally-friendly and low-cost mulching material that could replace soil molding which can be used to restore vegetation in an abandoned coal mine area. To this end, we established 20 experimental plots (4m ${\times}$ 10m in size) on the steep, south west-facing slope of the abandoned coal mine area in Hwangji-Dong, Taebaek City, Gangwon Province in April 2006. We planted two-year-old 1,600 seedlings (at intervals of 0.6m ${\times}$ 0.8m) of drought-resistant tree species including Betula schmidtii, Betula platyphylla var. japonica, Amorpha fruticosa, and Quercus mongolica in the plots. After planting seedlings, mulching was applied by using five different kinds of material such as HWAP (Teracotem), peat moss, straw mats, wood chips, and control (no-mulching) and the effects of different mulching material on the survival rate and growth performance were compared. Three years after planting, the survival rate was the highest in wood chip mulching, followed by straw-mat, peat moss, HWAP, and control. The survival rate was the highest in Quercus mongolica, followed by Betula schmidtii, Betula platyphylla var. japonica, and Amorpha fruticosa. Meanwhile the height growth was the best in Betula platyphylla var. japonica, followed by Betula schmidtii, Quercus mongolica, and Amorpha fruticosa. The height growth of seedlings was the best in HWAP mulching, followed by peat moss, woody chips, straw mat, and control. From an economic point of view, wood chips are considered to be the best mulching material. The results showed that mulching without soil molding and/or mixing applications would be effective for restoring vegetation in an abandoned coal mine areas.

Optimal design of water distribution system using modified hybrid vision correction algorithm (Modified hybrid vision correction algorithm을 활용한 상수관망 최적설계)

  • Ryu, Yong Min;Lee, Eui Hoon
    • Journal of Korea Water Resources Association
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    • v.55 no.spc1
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    • pp.1271-1282
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    • 2022
  • The optimal design of Water Distribution System (WDS) is used in various ways according to the purpose set by the user. The optimal design of WDS has various purposes, such as minimizing costs and minimizing energy generated when manufacturing pipes. In this study, based on the Modified Hybrid Vision Correction Algorithm (MHVCA), a cost-optimal design was conducted for various WDSs. We also propose a new evaluation index, Best Rate (BR). BR is an evaluation index developed based on the K-mean Clustering Algorithm. Through BR, a comparison was made on the possibility of searching for the optimal design of each algorithm used in the optimal design of WDS. The results of MHVCA for WDS were compared with Vision Correction Algorithm (VCA) and Hybrid Vision Correction Algorithm (HVCA). MHVCA showed a lower cost design than VCA and HVCA. In addition, MHVCA showed better probability of lower cost designs than VCA and HVCA. MHVCA will be able to show good results when applied to the optimal design of WDS for various purposes as well as the optimal design of WDS for cost minimization applied in this study.

Study on the optimum operation system of Sequencing Batch Reactor (연속 회분식 반응조의 최적 운전시스템에 관한 연구)

  • Eom, Tae Kyu;Ko, Eun Joo
    • Journal of Korean Society of Water and Wastewater
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    • v.13 no.4
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    • pp.54-61
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    • 1999
  • SBR process used to evaluate the removal of organics, nitrogen and phosphorus on the basis of a report of research on a precedence at various operation cycle and condition change. Effluent concentration of COD were 50mg/l, 50mg/l, 90mg/l respectively, The removal rates of COD were nearly over 95% at Run 1, 2 and 4. But at Run 3, Effluent concentration of COD was 255.0mg/l, The removal rate of COD was 87% at Run 3. As Oxic/Anoxic rate was fixed and operating cycle of Oxic/Anoxic was changed, the removal rates of T-N were 74.7%, 46.9%, 28.5%, 63.3% respectively at Run 1~4. The case of Run 1 was best result. The removal rates of T-P was appeared in proportion to T-N removal rates and rest of $NO_2-N$. The removal rates of T-P were 51.2%, 35.5%, 41.5%, 51.9% respectively. The removal rates of COD, T-N, T-P were influenced on the change of SBR operation cycle. As organic loading rate was $1.43kgCOD/m^3day$ and C/N ratio was 3.0, operation cycle of Run 1 was best condition of T-N removal rates and T-P removal.

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A Hybrid Search Method Based on the Artificial Bee Colony Algorithm (인공벌 군집 알고리즘을 기반으로 한 복합탐색법)

  • Lee, Su-Hang;Kim, Il-Hyun;Kim, Yong-Ho;Han, Seog-Young
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.23 no.3
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    • pp.213-217
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    • 2014
  • A hybrid search method based on the artificial bee colony algorithm (ABCA) with harmony search (HS) is suggested for finding a global solution in the field of optimization. Three cases of the suggested algorithm were examined for improving the accuracy and convergence rate. The results showed that the case in which the harmony search was implemented with the onlooker phase in ABCA was the best among the three cases. Although the total computation time of the best case is a little bit longer than the original ABCA under the prescribed conditions, the global solution improved and the convergence rate was slightly faster than those of the ABCA. It is concluded that the suggested algorithm improves the accuracy and convergence rate, and it is expected that it can effectively be applied to optimization problems with many design variables and local solutions.

Optimal Design of Irrigation Pipe Network with Multiple Sources

  • Lyu, Heui-Jeong;Ahn, Tae-Jin
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.39 no.2
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    • pp.9-18
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    • 1997
  • Abstract This paper presents a heuristic method for optimal design of water distribution system with multiple sources and potential links. In multiple source pipe network, supply rate at each source node affects the total cost of the system because supply rates are not uniquely determined. The Linear Minimum Cost Flow (LMCF) model may be used to a large scale pipe network with multiple sources to determine supply rate at each source node. In this study the heuristic method based on the LMCF is suggested to determine supply rate at each source node and then to optimize the given layout. The heuristic method in turn perturbs links in the longest path of the network to obtain the supply rates which make the optimal design of the pipe network. Once the best tree network is obtained, the frequency count of reconnecting links by considering link failure is in turn applied to form loop to enhance the reliability of the best tree network. A sample pipe network is employed to test the proposed method. The results show that the proposed method can yield a lower cost design than the LMCF alone and that the proposed method can be efficiently used to design irrigation systems or rural water distribution systems.

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Impulse Response of Inflation to Economic Growth Dynamics: VAR Model Analysis

  • DINH, Doan Van
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.9
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    • pp.219-228
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    • 2020
  • The study investigates the impact of inflation rate on economic growth to find the best-fit model for economic growth in Vietnam. The study applied Vector Autoregressive (VAR), cointegration models, and unit root test for the time-series data from 1996 to 2018 to test the inflation impact on the economic growth in the short and long term. The study showed that the two variables are stationary at lag first difference I(1) with 1%, 5% and 10%; trace test indicates two cointegrating equations at the 0.05 level, the INF does not granger cause GDP, the optimal lag I(1) and the variables are closely related as R2 is 72%. It finds that the VAR model's results are the basis to perform economic growth; besides, the inflation rate is positively related to economic growth. The results support the monetary policy. This study identifies issues for Government to consider: have a comprehensive solution among macroeconomic policies, monetary policy, fiscal policy and other policies to control and maintain the inflation and stimulate growth; set a priority goal for sustainable economic growth; not pursue economic growth by maintaining the inflation rate in the long term, but take appropriate measures to stabilize the inflation at the best-fitted VAR forecast model.

Factors Affecting Superovulation and Embryo Transfer in Boer Goats

  • Chang, Zhongle;Fan, Xinzhong;Luo, Mingjiu;Wu, Zhanyuan;Tan, Jinghe
    • Asian-Australasian Journal of Animal Sciences
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    • v.19 no.3
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    • pp.341-346
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    • 2006
  • Despite many studies, results of superovulation protocols are not consistent in farm animals. In this study, 151 Boer goats were superovulated to examine the factors affecting superovulation and embryo transfer (MOET). An optimal regime for superovulation treatment was identified as a 4-day treatment with decreasing dosages of 6-7 mg Chinese FSH or 240 mg Canadian FSH. The 4-day treatment with decreasing dosages of 6-7 mg Chinese FSH was, therefore, adopted to study effects of the age of does, season and repeated treatments on superovulation and embryo transfer. The best season for superovulation and embryo transfer and pregnancy was autumn, and the best age range was 12-35 months old. Within animals there were no significant differences in the number of ovulations and the rate of transferable embryos between the first and the second superovulation. However, these parameters declined significantly for the third superovulation. No marked effects of the number of ovulations on the proportion of transferable embryos were noted. The parturition rate of the recipients receiving single embryos was not different significantly from those receiving two embryos, and the kidding rate calculated from embryos transferred did not differ significantly between recipients receiving one and two embryos.

Development of Statistical Model and Neural Network Model for Tensile Strength Estimation in Laser Material Processing of Aluminum Alloy (알루미늄 합금의 레이저 가공에서 인장 강도 예측을 위한 회귀 모델 및 신경망 모델의 개발)

  • Park, Young-Whan;Rhee, Se-Hun
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.4 s.193
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    • pp.93-101
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    • 2007
  • Aluminum alloy which is one of the light materials has been tried to apply to light weight vehicle body. In order to do that, welding technology is very important. In case of the aluminum laser welding, the strength of welded part is reduced due to porosity, underfill, and magnesium loss. To overcome these problems, laser welding of aluminum with filler wire was suggested. In this study, experiment about laser welding of AA5182 aluminum alloy with AA5356 filler wire was performed according to process parameters such as laser power, welding speed and wire feed rate. The tensile strength was measured to find the weldability of laser welding with filler wire. The models to estimate tensile strength were suggested using three regression models and one neural network model. For regression models, one was the multiple linear regression model, another was the second order polynomial regression model, and the other was the multiple nonlinear regression model. Neural network model with 2 hidden layers which had 5 and 3 nodes respectively was investigated to find the most suitable model for the system. Estimation performance was evaluated for each model using the average error rate. Among the three regression models, the second order polynomial regression model had the best estimation performance. For all models, neural network model has the best estimation performance.

A study on comparative sensory properties of soybean rice cake prepared with soybean oil and soybean flour (콩기름과 콩가루를 첨가한 콩떡의 관능적 특성 (1))

  • 정혜숙;김경자
    • Korean journal of food and cookery science
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    • v.17 no.2
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    • pp.123-128
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    • 2001
  • Soybean rice cake, which is often used in Hamkyungdo, is well hewn for a good taste and the slow firiming rate. Since soybean rice cake may taste different according to the amount of ingredients, this study will make a test of the taste and properties of two groups of soybean rice cake. One is prepared from rice flour mixed with yellow soybean and peanut flour at several rate, and the other is prepared from rice flour mixed with oil extracted from yellow soybean and peanut, the containing amount of which is the same as that of oil ingredient contained in each flour. Rice cake prepared mixed with extracted soybean oil shows better characteristics than that which is prepared mixed with soybean flour containing the same amount of oil. The result by sensory test reveals that the element which has a great influence on soybean rice cake is oil. Prepared mixed with extracted oil, soybean rice cake tastes best at 6% of oil, while rice cake prepared mixed with flour instead of oil tastes best at 8% of flour. As this study shows that the relation between firiming rate and oil has a significant influence on cohesiveness, moistness, and chewiness, it is needed to further study the effect of oil according to the kinds of the flour of rice or other grains used.

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