Kim In-Tae;Oh Seung-Hwan;Han Seung-Hwan;Cho Yoon-Ho
International Journal of Highway Engineering
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v.8
no.3
s.29
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pp.89-103
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2006
This study develops the tire/pavement noise measuring trailer that can minimize the effect of various environmental noise and evaluate road noise characteristics without regard to time and spots. As literature reviews, it is examined into road noise characteristics and case studies of various CPX Trailer, and made a development plan of device. Based on these, HEART CPX Trailer is developed and conduct experiments for verification of the semi-anechoic chamber suitability, precision and field application of device. In the result of the experiment for verification of semi-anechoic chamber suitability, we can make sure that it is suitable and reliable among frequency bands. In the test of repetition measurement, we can verify excellent measurement accuracy among speeds and microphone's locations. In case of field tests using HEART CPX Trailer, it is founded that the result is similar to CPB test result carried out by Chung-Ang university in 2003. It can be concluded caused that the effect of environmental noise in and around the road including mechanical noise of a tow car was excluded. This paper confirmed and suggested that HEART CPX Trailer is suitable for evaluation of real road noise characteristics.
The shortest path problems(SPP) are critical issues in the military logistics such as the simulation of the War-Game. However, the existing SPP has two major drawbacks, one is its accuracy of solution and the other is for only one solution with focused on just link cost in the military transportation planning models. In addition, very few previous studies have been examined for the multi-shortest path problems without considering link capacity reflecting the military characteristics. In order to overcome these drawbacks, it is necessary to apply the multi-shortest paths algorithm reflecting un-expected military incidents. This study examines the multi-shortest paths in the real networks using Shier algorithm. The network contains both military link capacity and time-based cost. Also, the modes are defined as a platoon(group) rather than unit which is used in most of previous studies in the military logistics. To verify the algorithm applied in this study. the comparative analysis was performed with various sizes and routes of network which compares with Dijkstra algorithm. The major findings of this study are as follows ; 1) Regarding the unique characteristics of the military transportation plan, Shier algorithm, which is applied to this study, is more realistic than Dijkstra algorithm. Also, the time based concept is more applicable than the distance based model in the military logistics. 2) Based on the results from the various simulations of this study the capacity-constraint sections appeared in each scenarios. As a consequence, the alternatives are necessary such as measures for vulnerable area, improvement of vehicle(mode), and reflection of separated-marching column in the military manuals. Finally. the limits and future research directions are discussed : 1) It is very hard to compare the results found in this study. which is used in the real network and the previous studies which is used in arbitrary network. 2) In order to reflect the real military situations such as heavy tanks and heavy equipment vehicles. the other constraints such as the safety load of bridges and/or the height of tunnels should be considered for the future studies.
The bioequivalence of two triflusal products was evaluated with 20 healthy volunteers following single oral dose according to the guidelines of Korea Food and Drug Administration (KFDA). Trisa $l^{R}$ capsule (Whanin Pharm. Corp., Korea) and Disgre $n^{R}$ capsule (Myung-In Pharm. Corp., Korea) were used as test product and reference product, respectively. Both products contain 300 mg of trifusal. One capsule of test product or reference product was orally administered to the volunteers, respectively, by randomized two period crossover study (2$\times$2 Latin square method). Blood samples were taken at predetermined time intervals for 4 hours and the determination of trifusal was accomplished using semi-microbore HPLC equipped with automated column switching system. The analytical method with HPLC was validated according to the Bioanalytic Method Validation guideline by F7A prior to determining the plasma samples. The pharmacokinetic parameters (AU $C_{0-4h}$$C_{max}$ and $T_{max}$) were calculated and ANOVA test was utilized for statistical analysis of parameters. As a result of the assay validation, the limit of quantification of trifusal in human plasma by current assay procedure was 50 ng/ml using 500 $\mu$l of plasma. The accuracy of the assay was from 97.76% to 116.51% while the intra-day and inter-day coefficient of variation of the same concentration range was less than 15%. Average drug concentration at the designated time intervals and pharmacokinetic parameters calculated were not significantly different between two products (p>0.05). The difference of mean AU $C_{olongrightarrow4hr}$, $C_{max}$, and $T_{max}$ between the two products (2.92, 4.39, and -2.44%, respectively) were less than 20%. The power (1-$\beta$) and treatment difference ($\Delta$) for AU $C_{olongrightarrow4hr}$ and $C_{max}$ were more than 0.8 and less than 0.2, respectively. Although the power for $T_{max}$ was under 0.8, $T_{max}$ of the two products was not significantly different from each other (p>0.05). These results satisfied the criteria of KFDA guideline for bioequivalence, indicating the two products of triflusal were bioequivalent.quivalent.ent.ent.
This study was carried out to investigate the effect, range of practice, and propriety for diagnosis of early non-pregnancies and reproductive disorders by dairy cows' milk progesterone analysis used EIA-kit of home products. The results were summarized as follows : 1. During 2 to 6 months after artificial insemination, the results of milk progesterone measurement by Home-kit and Auto ELISA reader-kit with pregnant dairy cows(152 heads) certified by rectal palpation were revealed, in Home-kit, 145 heads(95.4%) of positive reaction, 7 heads(4.6%) of quasi-positive, and 0 heads(0%) of negative among 152 heads and, in Auto ELISA reader-kit, 152 heads(100%) of positive reaction among 152 heads. 2. During 19 to 22 days after artificial insemination, the results of milk progesterone measurement by Home-kit, and thereafrer during 50 to 90 days after that, the results of pregnant test by rectal palpation were summarized as follows : 147 heads(82.1%) among 179 heads of positive reaction by Home-kit and 5 heads(31.3%) among 16 heads of quasi-positive were revealed pregnant cows by rectal palpation, and 42 heads(100%) among 42 heads of negative were non-pregnant. 3. During 19 to 22 days after artificial insemination, the results of milk progesterone measurement by Auto ELISA reader-kit, and thereafrer during 50 to 90 days after that, the results of pregnant test by rectal palpation were summarized as follows : 146 heads(86.9%) among 168 heads of positive reaction by Auto ELISA reader-kit and 6 heads(28.6%) among 21 heads of quasi-positive were revealed pregnant cows by rectal palpation, and 48 heads (100%) among 48 heads of negative were non-pregnant. 4. For the accuracy of the rectal palpation, Home-kit and Auto ELISA reader-kit were used in the cows of ovarian diseases. The results were following : in the cows of reproductive disorders expected negative milk progesterone, the accuracies of rectal palpation were the same 75.5%(40 heads among 53 heads) by Home-kit and Auto ELISA reader-kit, and in the cows of reproductive disorders expected positive milk progesterone, the accuracies of rectal palpation were 82.6%(19 heads among 23 heads) and 91.3%(21 heads among 23 heads) by Home-kit and Auto ELISA reader-kit, respectively, and the general accuracies of rectal palpation were 77.6%(59 heads among 76 heads) and 80.3%(61 heads among 76 heads) by Home-kit and Auto ELISA reader-kit, respectively.
As the fastest growing office transaction volume in Korea, there's been a need for development of indicators to accurately diagnose the office capital market. The purpose of this paper is experimentally calculate to the office price index for effective benchmark indices in Seoul. The quantitative methodology used a Case-Shiller Repeat Sales Model (1991), based on actual multiple office transaction dataset with over minimum 1,653 ㎡ from Q3 1999 to 4Q 2019 in the case of 1,536 buildings within Seoul Metropolitan. In addition, the collected historical data and spatial statistical analysis tools were treated with the SAS 9.4 and ArcGIS 10.7 programs. The main empirical results of research are briefly summarized as follows; First, Seoul office price index was estimated to be 344.3 point (2001.1Q=100.0P) at the end of 2019, and has more than tripled over the past two decades. it means that the sales price of office per 3.3 ㎡ has consistently risen more than 12% every year since 2000, which is far above the indices for apartment housing index, announced by the MOLIT (2009). Second, between quarterly and annual office price index for the two-step estimation of the MIT Real Estate Research Center (MIT/CRE), T, L, AL variables have statistically significant coefficient (Beta) all of the mode l (p<0.01). Third, it was possible to produce a more stable office price index against the basic index by using the Moore-Penrose's pseoudo inverse technique at low transaction frequency. Fourth, as an lagging indicators, the office price index is closely related to key macroeconomic indicators, such as GDP(+), KOSPI(+), interest rates (5-year KTB, -). This facts indicate that long-term office investment tends to outperform other financial assets owing to high return and low risk pattern. In conclusion, these findings are practically meaningful to presenting an new office price index that increases accuracy and then attempting to preliminary applications for the case of Seoul. Moreover, it can provide sincerely useful benchmark about investing an office and predicting changes of the sales price among market participants (e.g. policy maker, investor, landlord, tenant, user) in the future.
A method is described for the analysis of short-chain alkylphenol ethoxylates (APEOs), 4-octylphenol-di-ethoxylate (OP2EO) and 4-nonylphenol-di-ethoxylate (NP2EO), in drinking water or wastewater using reversed phase high-performance liquid chromatography with electrospray ionization mass spectrometry. The solvent system was water and methanol containing $10{\mu}M$ trifluoroacetic acid as an ionization solvent. We acidified 1 L of water samples to less than pH 2 with concentrated $H_2SO_4$ and loaded onto Sep-Pak $C_{18}$, and eluted with acetone. The calibration of OP2EO and NP2EO was performed for the concentration range from 20 to 500 ng/L and the correlation coefficients were 0.999 and 0.990, respectively. The limits of detection were 20 ng/L (OP2EO) and 50 ng/L (NP2EO) at a signal-to-noise ratio of 3. Accuracy and precision of this analytical method were 85.8 ~ 122.1% and 8.2 ~ 18.8%, respectively. The proposed method allowed a sensitive and rapid detection of OP2EO and NP2EO and it could be applied for monitoring of APEOs from environmental samples.
Journal of Korean Society of Coastal and Ocean Engineers
/
v.28
no.5
/
pp.277-283
/
2016
Tetrapod is one of the most widely used concrete armor units for rubble mound breakwaters. The calculation of the stability number of Tetrapods is necessary to determine the optimal weight of Tetrapods. Many empirical formulas have been developed to calculate the stability number of Tetrapods, from the Hudson formula in 1950s to the recent one developed by Suh and Kang. They were developed by using the regression analysis to determine the coefficients of an assumed formula using the experimental data. Recently, software engineering (or machine learning) methods are introduced as a large amount of experimental data becomes available, e.g. artificial neural network (ANN) models for rock armors. However, these methods are seldom used probably because they did not significantly improve the accuracy compared with the empirical formula and/or the engineers are not familiar with them. In this study, we propose an explicit method to calculate the stability number of Tetrapods using the weights and biases of an ANN model. This method can be used by an engineer who has basic knowledge of matrix operation without requiring knowledge of ANN, and it is more accurate than previous empirical formulas.
Lodging is classified as root lodging caused by the loss of supporting force in the root, bending caused by the deformation of the stem and breaking where the stem breaks down as loads exceeding critical elasticity were applied. This research excluded breaking which is not in a state of equilibrium and tried to partition the level of lodging using an algebraic model in root lodging and stem lodging, or bending. When a vertical load was applied, the deformation of the stem of rice plant showed the form of a quadratic equation. The trace of the panicle neck in the process of lodging was an ellipse-shape. When loading was pure root lodging, the trace of the panicle neck became a circle of which culm length is the radius. When it was a pure stem lodging, the trace of the panicle neck is an ellipse of which major axis is culm length and minor axis is 0.64* culm length. When both stem lodging and root lodging occurred in a natural setting, the partitioning of lodging can be calculated by a formula using eccentricity of an ellipse, S=e*100/0.768(S is the ratio of stem lodging in the whole lodging, e is eccentricity of the ellipse). This method is expected to be useful in simple lodging partitioning. We could also calculate the partitioning of stem lodging and root lodging as units of angles as an accuracy method, by using a straight line calculated by differentiating a quadratic equation of stem deformation at the origin of the coordinates. These two methods for dividing root and stem lodging showed different values. However, each of them showed almost same values with different lodging degree in one plant.
Oh, Jae Myoung;Lee, Hwa Jung;Bahn, Kyeong Nyeo;Seo, Il Won;Lee, Young Joo;Lee, Jin Hee;Park, Ji Min;Kang, Tae Seok
Journal of Food Hygiene and Safety
/
v.30
no.2
/
pp.173-177
/
2015
Rosa canina L. is health functional food materials that can help to temporarily relieve symptoms of arthritis. This study has been conducted to develop and validate analytical methods for hyperoside of Rosa canina L.. Methods based on HPLC with ultraviolet detection (UVD) were established through instrumental analytical conditions, and the examination of data, such as domestic and foreign reliable methods and journals. HPLC UVD analysis using Capcell Pak $C_{18}$ MG II column at 353 nm was determined on test through the column, mobile phase. The validation has been performed on the method to determine linearity, accuracy, limits of quantification (LOQ) and repeatability for hyperoside. The method showed high linearity in the calibration curve at a coefficient of correlation ($R^2$) of 0.999, and the LOQ was $0.393{\mu}g/mL$. Relative standard deviation (RSD) values of data from repeatability precision was between 0.6 and 2.6%. Recovery rate test at hyperoside scored between 98 and 99%. These results indicate that the established HPLC method is very useful for the determination of hyperoside in Rosa canina L. to develop a health functional material.
Ka, Mi-Hyun;Lee, Kwang-Geun;Lim, Heung-Youl;Lee, Gunyoung;Yun, Sang Soon;Lim, Ho Soo;Kim, Yong-Suk
Journal of Food Hygiene and Safety
/
v.32
no.5
/
pp.343-347
/
2017
The analytical method of silicon dioxide ($SiO_2$) in health functional food products was developed employing inductively coupled plasma optical emission spectrometry (ICP-OES) method assisted by acid (hydrofluoric acid and boric acid) digestion in open system without alkali fusion. The limit of detection (LOD) and limit of quantification (LOQ) of this method were found to be 0.07 and 0.20 mg/L, respectively. Linearity ($r^2$) and linear range were 0.99 and 0.20~20.0 mg/L, respectively. The accuracy and precision of $SiO_2$ (0.4, 1.0, and 2.0%, w/w) in spiked glucosamine exhibited to be the range of 90.22~94.14% and 0.72~1.67%, respectively. The contents of $SiO_2$ in 11 health functional food products were detected in range of 0.02~1.80% (w/w). Every sample showed below content of the permitted use level (2%, w/w) of $SiO_2$. Therefore ICP-OES method with acid can analyze the content of $SiO_2$ in health functional food products easily and rapidly. Consequently, the application of specification analysis of $SiO_2$ in health functional food products could be a significant work.
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