• Journal of the Korean Professional Engineers Association
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• v.2 no.5
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• pp.4-18
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• 1969

This experiment was conducted, making use of the "NONG-RlM 6", a recommended variety of rice for year of 1968. Main purposes of the experiment are to explore possibilities of: a) ways and means of saving irrigation water and, b) overcoming drought at the same time so that an increased yield in rice could be resulted in. Specifically, it was tried to determine the effects of the circulation irrigation method combined with differentiated thickness of lining upon the growth and yield of rice. Some of the major findings are summarized in the following. 1) The different thicknesses show a significant relationship with the weight of 1,000 grains. In the case of 9cm-lined plot, the grain weight is 23.5 grams, the heaviest. Next in order are 3cm-lined plot, 6cm-lined plot, control plot, and wheat straw lined-plot. 2) In rice yield, it is found that there is a considerably moderate significant relationship with both the different thickness of lining and the number of irrigation, as shown in the table. 3) There is little or no difference among different plots in terms of a) physical and chemical properties of solid, b) quality of irrigation water, c) climatic conditions, and rainfalls. 4) It is found that there is a significant relationship between differences in the method of rotation irrigation and the number of ears per hill. The plot irrigated at an interval of 7 days shows 17.4 ears and the plot irrigated at an interval of 6 days, 16.3. 5) In vinyl-treated plots, it is shown that both yield and component element are greatest in the case of the plot with hole of 3$cm/m^2$. Next in order are; the plot with a hole of 2$cm/m^2$; the plot with a hole of 1$cm/m^2$. In the case of the plot with no hole, it is found that both yield and component elements are decreased as compared to the control plot. 6) The irrigation water requirement is measured for the actual irrigation days of 72 which are the number subtracted the days of rainfall of 30 from the total irrigation days of 102. It is found that the irrigation water requirement for the un control plot is 1,590 mm, as compared to 876 mm (44.9% saved) for the 9cm-lined plot, 959mm(39.7% saved) for the 6cm-lined plot, 1,010mm (36% saved) for the 3cm-lined plot, and 1,082mm (32% saved) for the wheat straw lined plot. In the case of the rotation irrigation method, it is found that the water requirement for the plot irrigated at an interval of 8 days is 538mm (65.3% saved), as compared to 617mm (61.1% saved) for the plot irrigated at an interval of 7 days, 672mm (57.7% saved) for the plot irrigated at an interval of 6 days, 746mm (53.0% saved) for the plot irrigated at an interval of 5 days, 890mm (44.0% saved) for to plot irrigated at an interval of 4 days, and 975mm (38.6% saved) for the plot irrigated at an interval of 3 days. 7) The rate of evapo-transpiration is found 2.8 around the end of the month of July, as compared to 2.6 at the begining of August, 3.4 around the end of August, and 2.6 at the begining of September. 8) It is found that the saturaton quantity of 30 mm per day is decreased to 20mm per day through the use of vinyl covering. 9) The husking rate shows 75 per cent which is considered better.

• The Journal of Engineering Geology
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• v.30 no.4
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• pp.457-468
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• 2020

Problems arising during pile design works for plant construction, civil and architecture work are mostly come from uncertainty of geotechnical characteristics. In particular, obtaining the N-value measured through the Standard Penetration Test (SPT) is the most important data. However, it is difficult to obtain N-value by drilling investigation throughout the all target area. There are many constraints such as licensing, time, cost, equipment access and residential complaints etc. it is impossible to obtain geotechnical characteristics through drilling investigation within a short bidding period in overseas. The geotechnical characteristics at non-drilling investigation points are usually determined by the engineer's empirical judgment, which can leads to errors in pile design and quantity calculation causing construction delay and cost increase. It would be possible to overcome this problem if N-value could be predicted at the non-drilling investigation points using limited minimum drilling investigation data. This study was conducted to predicted the N-value using an Artificial Neural Network (ANN) which one of the Artificial intelligence (AI) method. An Artificial Neural Network treats a limited amount of geotechnical characteristics as a biological logic process, providing more reliable results for input variables. The purpose of this study is to predict N-value at the non-drilling investigation points through patterns which is studied by multi-layer perceptron and error back-propagation algorithms using the minimum geotechnical data. It has been reviewed the reliability of the values that predicted by AI method compared to the measured values, and we were able to confirm the high reliability as a result. To solving geotechnical uncertainty, we will perform sensitivity analysis of input variables to increase learning effect in next steps and it may need some technical update of program. We hope that our study will be helpful to design works in the future.