• Journal of Positioning, Navigation, and Timing
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• v.9 no.3
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• pp.261-272
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• 2020

A Kalman filter algorithm is used for the generation of an ensemble timescale with three hydrogen masers maintained in KRISS. Allan deviation curves of three pairs of clocks were obtained by a three-cornered hat method and were used as reference curves for determination of parameters of the Kalman filter-based timescale. The ensemble timescale equation of a 3-clock system was established, and the clocks' phases estimated by the Kalman filter were used as the prediction time of each clock in the equation. The weight of each clock was determined inversely proportional to the Allan variance calculated with the clocks' phases. The Allan deviation of the weighted mean was 1.2×10^-16 at the averaging time of 57,600 s. However when we made fine adjustments of the clocks' weight, the minimum Allan deviation of 2×10^-17 was obtained. To find out the reason of the great improvement in the frequency stability, additional researches are in progress theoretically and experimentally.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.15 no.4
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• pp.83-91
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• 2006

At present, industry and researchers are looking for ways to reduce the use of lubricants because of ecological and economical reasons. Therefore, metal cutting is to move toward dry cutting or semi-dry cutting. One of the technologies is known as MQL(Minimum Quantity Lubrication) machining. This research presents an investigation into MQL machining with the objective of deriving the optimum cutting conditions for the turning process of SM4SC. To reach these goals several finish turning experiments were carried out, varying cutting speed, feed rate, oil quantity and so on, with MQL and flood coolant. The surface roughness and cutting force results of tests were measured and the effects of cutting conditions were analyzed by the method of Analysis of Variance(ANOVA). From the experimental results and ANOVA, this research proposed optimal cutting conditions to improve the machinability in MQL turning process.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.41 no.4
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• pp.21-28
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• 2004

This paper presents a direct multivariable self-tuning controller using neural network which adapts to the changing parameters of the higher order multivariable nonlinear system with nonminimum phase behavior, mutual interactions and time delays. The nonlinearities are assumed to be globally bounded, and a multivariable nonlinear system is divided linear part and nonlinear part. The neural network is used to estimate the controller parameters, and the control output is obtained through estimated controller parameter. In order to demonstrate the effectiveness of the proposed algorithm the computer simulation is done to adapt the multivariable nonlinear nonminimm phase system with time delays and changed system parameter after a constant time. The proposed method compared with direct multivariable adaptive controller using neural network.

• Transactions of the Korean Society of Automotive Engineers
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• v.21 no.1
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• pp.113-120
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• 2013

This paper proposes a design optimization approach for core of solenoid actuators by combining optimization techniques with the finite element method (FEM). A solenoid is an important element part which hydraulically controls a transmission system, etc. The demanded feature of the solenoid is that it performs an electromagnetic force output being constant regardless of the stroke and being proportional to coil current. The plunger compresses a spring with a minimum force of 12 N over an 1.7 mm travel. The orthogonal array, analysis of variance (ANOVA) techniques and response surface optimization, are employed to determine the main effects and their optimal design variables. The methodology is demonstrated as a optimization tool for the core design of a solenoid actuator.

• Journal of the Korean Home Economics Association
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• v.20 no.2
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• pp.73-84
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• 1982

The purpose of this study was to develop a basic bodice pattern and establish standards regrading to the size and grading of Korean misses' measurements in order to provide modern data for the ready-to-wear garment industry. 222 girls, aged from 18 to 27, were measured on 19 items of their structure. Mean, standard deviation, coefficient of variance, maximum, minimum, range and correlation coefficient between each items were analized. The analysis revealed the following significant results. The fundamental difference data of the bodice pattern and grading measurements between the year of 1975 and 1981 were as follow. (1) The measurements of bust and center back were used as a foundation to establish a standard size and grading. (2) Ranges of the bust circumference measurements were increased. Thus the sizes ere classfied into 5 groups. (3) The ease of bust circumference was increased due to the increasement of shoulder width. (4) The increase of the upper arm resulted to lower the bust line. (5) The shoulder slopes were higher than 1975. Therefore, the basic measurements of the shoulder slopes were reduced. (6) In spite of the front neck measurements were not changed, the back measurements were requied to increase. (7) the center front length became much shorter in the contrast with the increase of the center back length.

• Biomolecules & Therapeutics
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• v.8 no.3
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• pp.262-268
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• 2000

The bioequivalence of two tiropramide products was evaluated in 18 health male volunteers following oral administration. Test product was Tira $m^{R}$ tablet (Shin Poong SP-102) (Shin Poong Pharm. Co., Ltd.) and reference product was Tirop $a^{R}$ tablet (Dae Woong Pharm. Co., Ltd.) One capsule of the test and reference product containing 100 mg of tropramide.hydrochloride was administered to the volunteers by randomized two period cross-over study (2 $\times$ 2 Latin square method). The drug concentration in plasma was determined by GC/MS for over a period of 12hours after administration. Analysis of variance reveal that there are no differences in AUC (area under the plasma concentration-time curve from time zero to infinity), Cmax (maximum plasma concentration) and Tmax (time to reach Cmax). The differences of mean AUC, Cmax and Tmax between two products were 3.85, 1.47 and -3.6%, respectively. Minimum detectable differences (%) at $\alpha$=0.1 were all less than 20% given as a guideline (18.07, 17.00 and 20.69% for AUC, Cmax and Tmax, respectively). From these results, the two products are bioequivalent.ent.

• Transactions of the Korean hydrogen and new energy society
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• v.34 no.6
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• pp.712-721
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• 2023

While hydrogen is widely used, it has a low minimum ignition energy, raising safety concerns when using it. This research studied which parameters are the key variables in the hydrogen release and diffusion. These parameters were divided into six process variables in the initial release and two environmental variables in the dispersion. One hundred and twenty cases were selected through design of experiment, and the end-point in each case were analyzed using PHAST. Afterwards, an end-point prediction model was developed using RSM and ANOVA, and the impact of each variable on the endpoint was analyzed. As a result, the influence of eight variables was graded. The nozzle diameter had the greatest influence on the end-point, while the pipe roughness coefficient had no effect on the end-point. It is expected that these results will be used as basic data to improve safety across all fields of hydrogen handling facilities.

• Structural Engineering and Mechanics
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• v.88 no.6
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• pp.521-533
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• 2023

In the present study, the finite volume method is applied for the thermal performance prediction of the natural ventilation system using vertical solar chimney whereas, design parameters are optimized through the response surface methodology (RSM). The computational simulations are performed for various parameters of the solar chimney such as absorber temperature (40≤T_abs≤70℃), inlet temperature (20≤T₀≤30℃), inlet height of (0.1≤h≤0.2 m) and chimney width (0.1≤d≤0.2 m). Analysis of variance (ANOVA) was carried out to identify the design parameters that influence the average Nusselt number (Nu) and mass flow rate (ṁ). Then, quadratic polynomial regression models were developed to predict of all the response parameters. Consequently, numerical and graphical optimizations were performed to achieve multi-objective optimization for the desired criteria. According to the desirability function approach, it can be seen that the optimum objective functions are Nu=25.67 and ṁ=24.68 kg/h·m, corresponding to design parameters h=0.18 m, d=0.2 m, T_abs=46.81℃ and T₀=20℃. The optimal ventilation flow rate is enhanced by about 96.65% compared to the minimum ventilation rate, while solar energy consumption is reduced by 49.54% compared to the maximum ventilation rate.

• Journal of the Korean Home Economics Association
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• v.25 no.3
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• pp.15-26
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• 1987

The purpose of this study was to develop the pattern drafting method which would be suitable to their physical characteristics for the fatty body of 40∼55 aged Korean women who are more than 1.5 Rohrer's Index and 90㎝ bust girth. The study was composed as follows; 1. Body measurement and statistical analysis: One hundred and thirty women were measured on 29 items. Thirty-four items including 29 measured items and 5 calcutated items were analyzed statistically. 1) Mean, standard deviation, variance, maximum, minimum, range were computed. 2) Correlation coefficients between each items were computed. 2. Development of new bodice pattern drafting method: Measurement items necessary to draft new bodice pattern were bust girth, center back waist length, shoulder width, back width, chest and neck base girth. The new pattern was examined through three wearing tests for completion. 3. Evaluation of the new pattern drafting method: The new pattern was objectively evaluated by the sensory test. The sensory evaluation was applied to evaluate the new pattern for the fatty body women by comparint it with the conventional patterns. The results of sensory tests of the new pattern are as follows: 1) The composite reliability coefficient is 0.7698, and the reliability of sensory test shows high. 2) According to a statistical analysis of the result of the 23 items on the questionaire, all the items showed significant differences(α 0.01) between the two, with the new pattern having higher scores. The new pattern is better conventional pattern as the average mark of the former is 3.901 but that of latter is 2.926. The new pattern drafting method proved to be superior to the conventional one especially in the fitness at the center front neck point, shoulder point, side line, armscye depth, position of bust point, chest width line, under arm dart and the shoulder line.

• The Journal of the Acoustical Society of Korea
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• v.35 no.6
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• pp.501-509
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• 2016

We propose a method to improve the robustness of speaker verification on short test utterances. The accuracy of the state-of-the-art i-vector/probabilistic linear discriminant analysis systems can be degraded when testing utterance durations are short. The proposed method compensates for utterance variations of short test feature vectors using deep neural networks. We design three different types of DNN (Deep Neural Network) structures which are trained with different target output vectors. Each DNN is trained to minimize the discrepancy between the feed-forwarded output of a given short utterance feature and its original long utterance feature. We use short 2-10 s condition of the NIST (National Institute of Standards Technology, U.S.) 2008 SRE (Speaker Recognition Evaluation) corpus to evaluate the method. The experimental results show that the proposed method reduces the minimum detection cost relative to the baseline system.