• Geomechanics and Engineering
• /
• v.36 no.5
• /
• pp.465-474
• /
• 2024

Uniaxial compressive strength (UCS) is a critical geomechanical parameter that plays a significant role in the evaluation of rocks. The practice of indirectly estimating said characteristics is widespread due to the challenges associated with obtaining high-quality core samples. The primary aim of this study is to investigate the feasibility of utilizing the gene expression programming (GEP) technique for the purpose of forecasting the UCS for various rock categories, including Schist, Granite, Claystone, Travertine, Sandstone, Slate, Limestone, Marl, and Dolomite, which were sourced from a wide range of quarry sites. The present study utilized a total of 170 datasets, comprising Schmidt hammer (SH), porosity (n), point load index (Is(50)), and P-wave velocity (Vp), as the effective parameters in the model to determine their impact on the UCS. The UCS parameter was computed through the utilization of the GEP model, resulting in the generation of an equation. Subsequently, the efficacy of the GEP model and the resultant equation were assessed using various statistical evaluation metrics to determine their predictive capabilities. The outcomes indicate the prospective capacity of the GEP model and the resultant equation in forecasting the unconfined compressive strength (UCS). The significance of this study lies in its ability to enable geotechnical engineers to make estimations of the UCS of rocks, without the requirement of conducting expensive and time-consuming experimental tests. In particular, a user-friendly program was developed based on the GEP model to enable rapid and very accurate calculation of rock's UCS, doing away with the necessity for costly and time-consuming laboratory experiments.

• Journal of the Society of Disaster Information
• /
• v.17 no.4
• /
• pp.747-754
• /
• 2021

Purpose: Seismic safety evaluation of a curved bridge must be performed since the curved bridges exhibit the complex behavior rather than the straight bridges, due to geometrical characteristics. In order to conduct the probabilistic seismic assessment of the curved bridge, Seismic fragility evaluation was performed using the uncertainty of the steel material properties of a curved bridge girde, in this study. Method: The finite element (FE) model using ABAQUS platform of the curved bridge girder was constructed, and the statistical parameters of steel materials presented in previous studies were used. 100 steel material models were sampled using the Latin Hypercube Sampling method. As an input ground motion in this study, seismic fragility evaluation was performed by the normalized scale of the Gyeongju earthquake to 0.2g, 0.5g, 0.8g, 1.2g, and 1.5g. Result: As a result of the seismic fragility evaluation of the curved girder, it was found that there was no failure up to 0.03g corresponding to the limit state of allowable stress design, but the failure was started from 0.11g associated with using limit state design. Conclusion: In this study, seismic fragility evaluation was performed considering steel materials uncertainties. Further it must be considered the seismic fragility of the curved bridge using both the uncertainties of input motions and material properties.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.19 no.4
• /
• pp.203-214
• /
• 2017

There are two references of genetic information in Korean soybean cultivar. This study suggested that the new seven genetic information to supplement the uncertainty on prediction of potential yield of two references in soybean, and assessed the availability of two references and seven genetic information for future research. We carried out evaluate the prediction on flowering time and potential yield of the two references of genetic parameters and the new seven genetic parameters (New1~New7); the new seven genetic parameters were calibrated in Jinju, Suwon, Chuncheon during 2003-2006. As a result, in the individual and regional combination genetic parameters, the statistical indicators of the genetic parameters of the each site or the genetic parameters of the participating stations showed improved results, but did not significant. In Daegu, Miryang, and Jeonju, the predictability on flowering time of genetic parameters of New7 was not improved than that of two references. However, the genetic parameters of New7 showed improvement of predictability on potential yield. No predictability on flowering time of genetic parameters of two references as having the coefficient of determination ($R^2$) on flowering time respectively, at 0.00 and 0.01, but the predictability of genetic parameter of New7 was improved as $R^2$ on flowering time of New7 was 0.31 in Miryang. On the other hand, $R^2$ on potential yield of genetic parameters of two references were respectively 0.66 and 0.41, but no predictability on potential yield of genetic parameter of New7 as $R^2$ of New7 showed 0.00 in Jeonju. However, it is expected that the regional combination genetic parameters with the good evaluation can be utilized to predict the flowering timing and potential yields of other regions. Although it is necessary to analyze further whether or not the input data is uncertain.

• Nuclear Engineering and Technology
• /
• v.55 no.10
• /
• pp.3913-3923
• /
• 2023

Todays, medium energy resolution detectors are preferably used in radioisotope identification devices(RID) in nuclear and radioactive material categorization. However, there is still a need to develop or enhance « automated identifiers » for the useful RID algorithms. To decide whether any material is SNM or NORM, a key parameter is the better energy resolution of the detector. Although masking, shielding and gain shift/stabilization and other affecting parameters on site are also important for successful operations, the suitability of the RID algorithm is also a critical point to enhance the identification reliability while extracting the features from the spectral analysis. In this study, a RID algorithm based on Bayesian statistical method has been modified for medium energy resolution detectors and applied to the uranium gamma-ray spectra taken by a LaBr3:Ce detector. The present Bayesian RID algorithm covers up to 2000 keV energy range. It uses the peak centroids, the peak areas from the measured gamma-ray spectra. The extraction features are derived from the peak-based Bayesian classifiers to estimate a posterior probability for each isotope in the ANSI library. The program operations were tested under a MATLAB platform. The present peak based Bayesian RID algorithm was validated by using single isotopes(²⁴¹Am, ⁵⁷Co, ¹³⁷Cs, ⁵⁴Mn, ⁶⁰Co), and then applied to five standard nuclear materials(0.32-4.51% at.²³⁵U), as well as natural U- and Th-ores. The ID performance of the RID algorithm was quantified in terms of F-score for each isotope. The posterior probability is calculated to be 54.5-74.4% for ²³⁸U and 4.7-10.5% for ²³⁵U in EC-NRM171 uranium materials. For the case of the more complex gamma-ray spectra from CRMs, the total scoring (ST) method was preferred for its ID performance evaluation. It was shown that the present peak based Bayesian RID algorithm can be applied to identify ²³⁵U and ²³⁸U isotopes in LEU or natural U-Th samples if a medium energy resolution detector is was in the measurements.

• Journal of the Korean Arthroscopy Society
• /
• v.9 no.2
• /
• pp.201-205
• /
• 2005

Purpose: The purpose of this study is to evaluate the result of arthroscopic excision of painful Os subtibiale and Os subfibulare. Materials and Methods: Sixteen patients who had accessory bone in the ankle joint were treated by arthroscopy. Os subtibiale was four cases and os subfibulare twelve. The average follow-up period was 9 months$(range:6{\sim}42months)$. All patients were evaluated clinically with physical examination and radiologically with simple X-ray and for further evaluation, eight with bone scan, three with computed tomography and twelve with magnetic resonance image. We estimated the result of resection with Ogilvie-Harris's criteria. Results: All parameters of subjective and functional evaluation were improved with statistical significance(p<0.05). At final evaluation, eight patients still complained of mild pain and among them, three patients for synovitis, three for tendinitis on MRI and two for incomplete resection. Conclusion: The arthroscopic resection is a very effective method for painful os subtibiale and subfibulare using small incisions and for treatment of associated lesion. The preoperative radiological evaluation is essential and magnetic resornance image is useful for detecting of associated lesion.

• Investigative Magnetic Resonance Imaging
• /
• v.18 no.4
• /
• pp.303-313
• /
• 2014

Purpose : In-vivo conductivity reconstruction using transmit field ($B_1{^+}$) information of MRI was proposed. We assessed the accuracy of conductivity reconstruction in the presence of statistical noise in complex $B_1{^+}$ map and provided a parametric model of the conductivity-to-noise ratio value. Materials and Methods: The $B_1{^+}$ distribution was simulated for a cylindrical phantom model. By adding complex Gaussian noise to the simulated $B_1{^+}$ map, quantitative conductivity estimation error was evaluated. The quantitative evaluation process was repeated over several different parameters such as Larmor frequency, object radius and SNR of $B_1{^+}$ map. A parametric model for the conductivity-to-noise ratio was developed according to these various parameters. Results: According to the simulation results, conductivity estimation is more sensitive to statistical noise in $B_1{^+}$ phase than to noise in $B_1{^+}$ magnitude. The conductivity estimate of the object of interest does not depend on the external object surrounding it. The conductivity-to-noise ratio is proportional to the signal-to-noise ratio of the $B_1{^+}$ map, Larmor frequency, the conductivity value itself and the number of averaged pixels. To estimate accurate conductivity value of the targeted tissue, SNR of $B_1{^+}$ map and adequate filtering size have to be taken into account for conductivity reconstruction process. In addition, the simulation result was verified at 3T conventional MRI scanner. Conclusion: Through all these relationships, quantitative conductivity estimation error due to statistical noise in $B_1{^+}$ map is modeled. By using this model, further issues regarding filtering and reconstruction algorithms can be investigated for MREPT.

• Progress in Medical Physics
• /
• v.27 no.4
• /
• pp.180-188
• /
• 2016

Acuros XB advanced dose calculation algorithm (AXB, Varian Medical Systems, Palo Alto, CA) has been released recently and provided the advantages of speed and accuracy for dose calculation. For clinical use, it is important to investigate the dosimetric performance of AXB compared to the calculation algorithm of the previous version, Anisotropic Analytical Algorithm (AAA, Varian Medical Systems, Palo Alto, CA). Ten volumetric modulated arc therapy (VMAT) plans for each of the following cases were included: head and neck (H&N), prostate, spine, and lung. The spine and lung cases were treated with stereotactic body radiation therapy (SBRT) technique. For all cases, the dose distributions were calculated using AAA and two dose reporting modes in AXB (dose-to-water, $AXB_w$, and dose-to-medium, $AXB_m$) with same plan parameters. For dosimetric evaluation, the dose-volumetric parameters were calculated for each planning target volume (PTV) and interested normal organs. The differences between AAA and AXB were statistically calculated with paired t-test. As a general trend, $AXB_w$ and $AXB_m$ showed dose underestimation as compared with AAA, which did not exceed within -3.5% and -4.5%, respectively. The maximum dose of PTV calculated by $AXB_w$ and $AXB_m$ was tended to be overestimated with the relative dose difference ranged from 1.6% to 4.6% for all cases. The absolute mean values of the relative dose differences were $1.1{\pm}1.2%$ and $2.0{\pm}1.2%$ when comparing between AAA and $AXB_w$, and AAA and $AXB_m$, respectively. For almost dose-volumetric parameters of PTV, the relative dose differences are statistically significant while there are no statistical significance for normal tissues. Both $AXB_w$ and $AXB_m$ was tended to underestimate dose for PTV and normal tissues compared to AAA. For analyzing two dose reporting modes in AXB, the dose distribution calculated by $AXB_w$ was similar to those of AAA when comparing the dose distributions between AAA and $AXB_m$.

• Korean Journal of Clinical Pharmacy
• /
• v.10 no.1
• /
• pp.13-18
• /
• 2000

The bioequivalence of two clarithromycin tablets, the $Klaricid^{TM}$ (Ciba-Geigy Korea Ltd.) and the $Pylocin^{TM}$ (Kyungdong Pharmaceutical Co., Ltd.), was evaluated according to the Korean Guidelines for Bioequivalence Test (KGBT 1998). Sixteen healthy male volunteers ($20\sim26$ years old) were randomly divided into two groups and a randomized $2\times2$ cross-over study was employed. After one tablet containing 250 mg of clarithromycin was orally administered, blood sample was taken at predetermined time intervals, and the concentrations of clarithromycin in serum were determined using high-performance liquid chromatographic method with electrochemical detector. The pharmaco-kinetic parameters (area under the concentration-time curve: $AUC_t$, maximum concentration; $C_{max}$ and time to maximum concentration; $T_{max}$) were calculated and analysis of variance (ANOVA) was utilized for the statistical analysis of parameters. The results showed that the differences in $AUC_t,\;C_{max}\;and\;T_{max}$ between two tablets based on $Klaricid^{TM}$ tablet were $-0.22\%,\;-0.48\%\;and\;-1.63\%$, respectively. The powers $(1-\beta)\;for\;AUC_t,\;C_{max}\;and\;T_{max}\;were\;99.07\%,\;88.15\%\;and\;99.99\%$, respectively. Detectable differences $(\Delta)\;and\;90\%$ confidence intervals ($\alpha$=0.10) were all less than $\pm20\%$ All the parameters above met the criteria of KGBT 1998, indicating that $Pylocin^{TM}$ tablet is bioequivalent to $Klaricid^{TM}$ tablet.

• Korean Journal of Food Science and Technology
• /
• v.32 no.4
• /
• pp.851-859
• /
• 2000

In the present study, changes in physicochemical and sensory properties, and microflora and enzyme activities, by addition of pumpkin (1, 2 and 5% pumpkin on the weight basis), of Sunchang sikhe kochujang, the most famous traditional kochujang, were investigated. Moisture content appeared to be reduced during fermentation, possibly due to exposure to the sun. Patterns of pH changes were rather complicated. pH of control kochujang was gradually reduced from the begining of fermentation up to 60 days of fermentation. Thereafter, it tended to be increased but again reduced after 90 days of fermentation. On the other hand, titratable acidity increased with fermentation reaching at the highest level at 90 day of fermentation and then slowly decreased. The addition of pumpkin induced a reduction in pH and an increase in titratable acidity, but this was due to organic acid contained in pumpkin itself. Contents of reducing sugar and amino nitrogen were increased by the addition of pumpkin in relation to the level of addition. Ethanol content was highly increased by the addition of pumpkin. Bacterial and yeast count, and activities of amylase and protease were not affected by the addition of pumpkin. Sensory evaluation test revealed that the addition of pumpkin improved sweet and savory taste, but color turned to be undesirable. However, none of tested parameters except color showed statistical significance.

• The Korean Journal of Applied Statistics
• /
• v.24 no.6
• /
• pp.987-994
• /
• 2011

From the point view of credit evaluation whose population is divided into the default and non-default state, two methods are considered to estimate conditional distribution functions: one is to estimate under the assumption that the data is followed the mixture normal distribution and the other is to use the kernel density estimation. The parameters of normal mixture are estimated using the EM algorithm. For the kernel density estimation, five kinds of well known kernel functions and four kinds of the bandwidths are explored. In addition, the corresponding ROC functions are obtained based on the estimated distribution functions. The goodness-of-fit of the estimated distribution functions are discussed and the performance of the ROC functions are compared. In this work, it is found that the kernel distribution functions shows better fit, and the ROC function obtained under the assumption of normal mixture shows better performance.