• International Journal of Aeronautical and Space Sciences
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• v.9 no.1
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• pp.100-110
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• 2008

It is not easy to monitor and identify all engine faults and conditions using conventional fault detection approaches like the GPA (Gas Path Analysis) method due to the nature and complexity of the faults. This study therefore focuses on a model based diagnostic method using Neural Network algorithms proposed for fault detection on a turbo shaft engine (PW 206C) selected as the power plant for a tilt rotor type unmanned aerial vehicle (Smart UAV). The model based diagnosis should be performed by a precise performance model. However component maps for the performance model were not provided by the engine manufacturer. Therefore they were generated by a new component map generation method, namely hybrid method using system identification and genetic algorithms that identifies inversely component characteristics from limited performance deck data provided by the engine manufacturer. Performance simulations at different operating conditions were performed on the PW206C turbo shaft engine using SIMULINK. In order to train the proposed BPNN (Back Propagation Neural Network), performance data sets obtained from performance analysis results using various implanted component degradations were used. The trained NN system could reasonably detect the faulted components including the fault pattern and quantity of the study engine at various operating conditions.

• Nuclear Engineering and Technology
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• v.48 no.1
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• pp.64-71
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• 2016

Void fraction is an important parameter in the oil industry. This quantity is necessary for volume rate measurement in multiphase flows. In this study, the void fraction percentage was estimated precisely, independent of the flow regime in gas-liquid two-phase flows by using ${\gamma}-ray$ attenuation and a multilayer perceptron neural network. In all previous studies that implemented a multibeam ${\gamma}-ray$ attenuation technique to determine void fraction independent of the flow regime in two-phase flows, three or more detectors were used while in this study just two NaI detectors were used. Using fewer detectors is of advantage in industrial nuclear gauges because of reduced expense and improved simplicity. In this work, an artificial neural network is also implemented to predict the void fraction percentage independent of the flow regime. To do this, a multilayer perceptron neural network is used for developing the artificial neural network model in MATLAB. The required data for training and testing the network in three different regimes (annular, stratified, and bubbly) were obtained using an experimental setup. Using the technique developed in this work, void fraction percentages were predicted with mean relative error of <1.4%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1364-1369
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• 2015

As the wire bonding process has been converted into BUMP process due to the high density integration of semiconductor chip, the telecommunication line connecting to semiconductor chip and external devices have become finer. As a result, a more precise work is necessary. However, it is difficult to control quantity given the nature of high viscosity of PSPI and the yield rate continues to decline due to the inflow of bubble. Therefore, this paper developed the D&P(degassing and pumping) system to remove and supply gas that is generated from coating the high viscosity photosensitive polyimide(PSPI) in the semiconductor BUMP process.

• Research in Mathematical Education
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• v.25 no.4
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• pp.267-284
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• 2022

In response to the current educational situation of students' heavy workload, the author constructs the precision-targeted classroom based on Precision Teaching (PT), Network Pharmacology, and Treatment Based on Syndrome Differentiation. The precision-targeted classroom can solve the current problems of PT and the phenomenon of the heavy academic burden on students, achieve the reduction of the burden and increase the efficiency of education. The precision-targeted classroom includes five key points: targeted goals, childlike thinking, precise intervention, intelligent homework, and stereoscopic evaluation, and the implementation process of the precision-targeted classroom is built from three aspects: before, during and after class. In addition, the author applied it to the actual mathematics classroom to test its teaching effect, and the experimental results showed that: the precision-targeted classroom significantly improved students' academic performance and thinking level; considerably improved students' classroom learning status, and facilitated teaching personalization and realized homework quantity control and quality improvement.

• Journal of Wind Energy
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• v.14 no.1
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• pp.29-36
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• 2023

The analysis of the floating offshore wind turbine platform is based on the procedures provided by the IEC including the International Classification Society, which recommends the analysis in the time domain. But time-domain simulation requires a lot of time and resources to solve tens of thousands of DLCs. This acts as a barrier in terms of floating structure development. For final verification, it requires very precise analysis in the time domain, but from an initial design point of view, a simplified verification procedure to predict the quantity of materials quickly and achieve relatively accurate results is crucial. In this study, a structural design procedure using a design wave applied in the oil and gas industries is presented combined with a conservative turbine load. With this method, a quick design spiral can be rotated, and it is possible to review FOWTs of various shapes and sizes. Consequently, a KRISO Semi-Submersible FOWT platform was developed using a simplified design procedure in frequency-domain analysis.

• Korean Journal of Agricultural Science
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• v.43 no.1
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• pp.72-79
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• 2016

It has long been known that nutritional and environmental influences during the early developmental period affect the biological mechanisms which determine animal metabolism. This phenomenon, termed 'metabolic imprinting', can cause subtle but long-lasting responses to prenatal and postnatal nutrition and even be passed onto the next generation. A large amount of research data shows that nutrient availability, in terms of quantity as well as quality, during the early developing stages can decrease the number of newborn piglets and their body weight and increase their susceptibility to death before weaning. However, investigation of potential mechanisms of 'the metabolic imprinting' effect have been scant. Therefore, it remains unknown which factors are responsible for embryonic and early postnatal nutrition and which factors are major determinants of body weight and number of new born piglets. Intrauterine undernutrition, for example, was studied using a rat model providing dams 50% restricted nutrients during pregnancy and the results showed significant decreases in birth weight of newborns. This response may be a characteristic of a subset of modulations in embryonic development which is caused by the metabolic imprinting. Underlying mechanisms of intrauterine undernutrition and growth retardation can be explained in part by epigenetics. Epigenetics modulate animal phenotypes without changes in DNA sequences. Epigenetic modifications include DNA methylation, chromatin modification and small non-coding RNA-associated gene silencing. Precise mechanisms must be identified at the morphologic, cellular, and molecular levels by using interdisciplinary nutrigenomics approaches to increase pig production. Experimental approaches for explaining these potential mechanisms will be discussed in this review.

• Journal of Korea Water Resources Association
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• v.40 no.8
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• pp.585-600
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• 2007

The hydrologic cycle and BOD pollutant loads of all sub-watersheds were analyzed using HSPF (Hydrological Simulation Program-Fortran). At first, sensitivity analyses to water quantity (peak discharge and total volume) and quality (BOD peak concentrations and total loads) were conducted and some critical Parameters were selected. For more precise simulation, the study watershed was divided into four parts according to the landuse characteristics and used climate data and so calibrated and verified respectively. It was found that as the urban area ratio increases in the downstream direction, baseflow decreases (11.1 % $\rightarrow$ 5.0%) and the ratio of direct runoff volume(42.5 % $\rightarrow$ 56.9 %), BOD concentration (3.3 mg/L $\rightarrow$ 15.0 mg/L) and unit loads (55.4 kg/ha/year $\rightarrow$ 354.5 kg/ha/year) increase.

• Journal of Microbiology and Biotechnology
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• v.11 no.6
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• pp.986-993
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• 2001

Translation Initiation in prokaryotes involves the formation of a 30 S preinitiation complex, in which translation initiation factors play a role in the stimulation of fMet-tRNA (fMet) binding. However, the specific function and precise mechanism of initiation factor IF1 are still unclear. One a functionally active factor with a high purity. In the present study a large quantity of active IF was rapidly purified, obtained by the overexpression of the infA gene, and then used for a functional study. The induction of infA did not appreciably affect the growth rate of the protease-deficient strain E. coli AR68 harboring the IF1 overproducing plasmid. The level of IF1 obtained was approximately $1-2\%$ of the total cell protein, which enabled the yield of highly purified IF1 (>$98\%$ pure) to be increased to 0.15 mg of IF1/g of cells. The IF1 was isolated within one day by the centrifugatioin of the ribosomal washed fraction, by ammonium sulfate fractionation, chromatography on batch of phosphocellulose, and FPLC Mono S. The overexpressed IF1 was found to be comparable to the factor isolated from normal cells, as determined by migration in NEPHGE/SDS 2-D gels. For binding of fMet-tRNA(fMet) to the 30 S ribosomal subunitis, relatively high levels of binding were obtained when IF2 was present. The addition of IF1 up to 110 pmol proportionally stimulated the binding to a variable extent. This IF1-dependent stimulation of the 30 S preinitiation complex formation demonstrated that IF1 would appear to be exclusively essential for promoting the initiation phase of protein synthesis.

• Asian Journal of Turfgrass Science
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• v.20 no.1
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• pp.93-105
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• 2006

The construction of golf courses has had adverse effects on the natural landscape and delicate ecosystem of Korea. Efficiency in planning and design was necessary to minimize the environmental impact of the original construction. However, the ordinal design methods have limited the data processing by the massive scale of the project of golf course development. Conventional design methods did not have a proper tool for alternative plans on pre-estimation of landscape destruction or minimizing of the environmental impact. Therefore, advanced computerized techniques need to be adapted for golf course design to solve the problems concerning the environmental impacts. Geographic information system (GIS) was applied on the process of geographical data input and analysis through the final outputs. Simulation works by the total database management enable the pre-investigation of the design In view of an assessment of environmental impacts. It is also possible to evaluate plans easily and propose the alternatives properly. Precise quantity calculation of engineering works by computer system should be guaranteed scientific, economic, and environmentally-sound.

• Journal of Nutrition and Health
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• v.12 no.3
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• pp.41-46
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• 1979

Almost all Korean women in rural area breast feed their children for average 18 to 24 months. Since they breastfeed their children for long period the need for the lactating mot­hers to be nutritionally refurnished becomes evidently great. However the studies on the nutrient intake level of these mothers has been very scarce. We have studied the food and nutrient intake level of 93 lactating women randomly selected from rural areas of South Korea. Thirty one well trained and experienced surveyors conducted the dietary survey by the. combination method of precise weighing and interview for two 'consecutive days. Briefly stating the findings 1) The dietary pattern of the lactating women in rural Korea was not different from the ordinary Korean diet-i.e no conscientious effort to improve the quality of the diet was apparent. 2) Consequently over 90% of the total food intake was made up with the typical rice­kimchi diet. 3) The quantity of the total food intake was greater than the national average sufficient intake of calorie was observed. 4) No milk or the milk products were consumed by the lactating women in rural Korea. 5) Average intake of protein was 88 grams. Only 5% of these was provided by the animal foods. 6) Mean daily intakes of niacin, thiamin and ascorbic acid exceeded the recommended allowances. But vitamin A intake was 1171 IU-about 33% of the RDA-and the riboflavin intake was 0.92 mg. which is about 54% of the recommended level for the lactators. 7) Average calcium intake was 490 mg.-41% of the RDA. The iron intake was adequate.