• Journal of Korean Society of Transportation
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• v.23 no.4 s.82
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• pp.71-79
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• 2005

Existing arterial link travel time estimation methods relying on either aggregate point-based or individual section-based traffic data have their inherent limitations. This paper demonstrates the utility of data fusion for improving arterial link travel time estimation. If the data describe traffic conditions, an operator wants to know whether the situations are going better or worse. In addition, some traffic information providing strategies require predictions of what would be the values of traffic variables during the next time period. In such situations, it is necessary to use a prediction algorithm in order to extract the average trends in traffic data or make short-term predictions of the control variables. In this research. a multi-step ahead prediction algorithm using Data fusion was developed to predict a link travel time. The algorithm performance were tested in terms of performance measures such as MAE (Mean Absolute Error), MARE(mean absolute relative error), RMSE (Root Mean Square Error), EC(equality coefficient). The performance of the proposed algorithm was superior to the current one-step ahead prediction algorithm.

• Wind and Structures
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• v.31 no.2
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• pp.103-142
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• 2020

One of the next frontiers in structural wind engineering is the design of tall buildings using performance-based approaches. Currently, tall buildings are being designed using provisions in the building codes and standards to meet an acceptable level of public safety and serviceability. However, recent studies in wind and earthquake engineering have highlighted the conceptual and practical limitations of the code-oriented design methods. Performance-based wind design (PBWD) is the logical extension of the current wind design approaches to overcome these limitations. Towards the development of PBWD, in this paper, we systematically review the advances made in this field, highlight the research gaps, and provide a basis for future research. Initially, the anatomy of the Wind Loading Chain is presented, in which emphasis was given to the early works of Alan G. Davenport. Next, the current state of practice to design tall buildings for wind load is presented, and its limitations are highlighted. Following this, we critically review the state of development of PBWD. Our review on PBWD covers the existing design frameworks and studies conducted on the nonlinear response of structures under wind loads. Thereafter, to provide a basis for future research, the nonlinear response of simple yielding systems under long-duration turbulent wind loads is studied in two phases. The first phase investigates the issue of damage accumulation in conventional structural systems characterized by elastic-plastic, bilinear, pinching, degrading, and deteriorating hysteretic models. The second phase introduces methods to develop new performance objectives for PBWD based on joint peak and residual deformation demands. In this context, the utility of multi-variate demand modeling using copulas and kernel density estimation techniques is presented. This paper also presents joined fragility curves based on the results of incremental dynamic analysis. Subsequently, the efficiency of tuned mass dampers and self-centering systems in controlling the accumulation of damage in wind-excited structural systems are investigated. The role and the need for explicit modeling of uncertainties in PBWD are also discussed with a case study example. Lastly, two unified PBWD frameworks are proposed by adapting and revisiting the Wind Loading Chain. This paper concludes with a summary and a proposal for future research.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.309-327
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• 2021

Dynamic treatment regimes (DTRs) are decision-making rules designed to provide personalized treatment to individuals in multi-stage randomized trials. Unlike classical methods, in which all individuals are prescribed the same type of treatment, DTRs prescribe patient-tailored treatments which take into account individual characteristics that may change over time. The Q-learning method, one of regression-based algorithms to figure out optimal treatment rules, becomes more popular as it can be easily implemented. However, the performance of the Q-learning algorithm heavily relies on the correct specification of the Q-function for response, especially in observational studies. In this article, we examine a number of double-robust weighted least-squares estimating methods for Q-learning in high-dimensional settings, where treatment models for propensity score and penalization for sparse estimation are also investigated. We further consider flexible ensemble machine learning methods for the treatment model to achieve double-robustness, so that optimal decision rule can be correctly estimated as long as at least one of the outcome model or treatment model is correct. Extensive simulation studies show that the proposed methods work well with practical sample sizes. The practical utility of the proposed methods is proven with real data example.

• Journal of Preventive Medicine and Public Health
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• v.36 no.4
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• pp.349-358
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• 2003

Objectives : Aseptic meningitis is a major cause of Korean childhood morbidity late spring and early summer. However, the nationwide incidences of the disease have not been reported. This study was conducted to evaluate the availability of National Health Insurance data (NHID) for the study of an epidemiological trend in the surveillance of aseptic meningitis in children. Methods : All the claims, under A87, A87.8, and A87.9 by ICD-10, among children below 15 years of age, to the National Health Insurance Corporation, between January and December 1998, were extracted. A survey of the medical record of 3,874 cases from 136 general hospitals was peformed. The availability of the NHID was evaluated by the three following methods: 1) The diagnostic accuracy (the positive Predictive value : proportion of the confirmed aseptic meningitis among the subjects registered as above disease-codes in NHID) was evaluated through a chart review, and according to age, gender, month and region of disease-occurrence. 2) The distribution of confirmed cases was compared with the distribution of total subjects from the NHID, for subjects in General hospitals, or the subjects surveyed. 3) The proportion of confirmed CSF test was confirmed, and the relating factor, which was the difference in CSF-test rate, analyzed. Results : Among 3,874 cases, CSF examinations were peformed on 1,845 (47.6%), and the CSF-test rates were different according to the medical utility (admission vs. OPD visit) and the severity of the symptoms and signs. The diagnostic accuracy for aseptic meningitis, and during the epidemic (May-Aug) and sporadic (Sept-Apr) periods, were 85.0 (1,568/1,845), 86.0 (1,239/l,440) and 81.2% (329/405), respectively. The distributions by age, sex, month or period (epidemic/sporadic) and region, in the confirmed cases, were similar to those in the NHID, in both the subjects at General hospitals and in those surveyed, to within ${\pm}7%$. Conclusions : In this paper, the NHID for the subjects registered with an aseptic meningitis disease-code might be available for an epidemiological study on the incidence-estimation of childhood aseptic meningitis, as the NHID could include both the probable and definite cases. On the basis of this result, further studies of time-series and secular trend analyses, using the NHID, will be peformed.

• Journal of the Korean Institute of Gas
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• v.21 no.5
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• pp.95-103
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• 2017

A lot of hazardous materials have been used for product processing and utility plant. Many accidents including toxic release, fire and explosions occur in the ammonia related facility and plant. Various safety and environment management program including PSM, SMS, ORA etc. are being implemented for risk management and accident prevention in the production industry. Also much study and research have been carried about risk assessment of accident scenario in the academic and research area. In this paper, firstly risk level was assessed by using a typically used KORA program and LOPA PFD method for the selected ammonia unloading and storage facility. And then risk reduction measures for the risk assessed facility were studied in 3 aspects and some measures were proposed. Those Risk Reduction measures are including a leak detection and emergency isolation, water spray, dilution tank, dike and trench, scattering protection in hardware impovement aspect, and a applicable risk criteria, conditional modifier for existing LOPA PFD, alternative supporting modeling program in risk estimation methodology aspect, and last RBPS(Risk Based Process Safety) program, re-doing of process hazard analysis, management system compliance audit in managerial activity aspect.

• Korean Journal of Clinical Laboratory Science
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• v.50 no.3
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• pp.261-266
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• 2018

To determine the clinical utility of an immunoblot test and RT-PCR-hybridization test, 160 samples from patients with a chronic HCV infection were analyzed by two tests. A total of 133 samples out of 150 positive samples were positive by RT-PCR-hybridization. The true positive rate of the immunoblot tests and the concordance rate of the two tests was 88.6% and 89.3%, respectively. Serotyping and genotyping were performed to evaluate the distribution of the HCV subtype in Korean isolates. HCV serotypes 1 and 2, and genotypes 1b and 2a were the most common sources of HCV infections in this group. In 49 cases studied with the serotypes and genotypes, serotypes 1 and 2 were 57.1% and 42.9%, respectively. Genotypes 1b, 1b/2b, 2a, 2a/2c, and 2b were 51.0%, 2.0%, 34.7%, 8.2%, and 4.1%, respectively. This study shows that immunoblot tests are more useful for screening HCV infections. The RT-PCR-hybridization test confirmed the HCV infection in patients with positive immunoblot test results. The serotype test is preferred over the genotype test for monitoring the progression or response to treatment. On the other hand, there were no significant differences in the response to an ${\alpha}$-interferon treatment of HCV infection with serotype type 1 or type 2 in Korea.

• The Korean Journal of Pesticide Science
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• v.7 no.1
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• pp.58-65
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• 2003

Various physicochemical parameters for the active ingredients of 245 herbicides were calculated to develope a diagnosis and estimation system for utility as herbicide. The range of physico-chemical parameters for each inhibitors of photo system II (H1), acetolactate synthase (ALS) (H2) and herbicides were confirmed. The distribution ranges of 85% dependence for each physicochemical parameters were Obs.logP :$-0.90\sim4.50$, dipol moment: $1.80\sim12.22$ (debye), molecular refractivity: $53.0\sim104.0(cm^3/mol)$, polarizability: $19.0\sim37.0(\AA^3)$, HOMO energy: $-9.98\sim-7.34$ (eV), LUMO energy:$-2.76\sim0.40$ (eV), Van der Waals molecular volumes: $558.0\sim995.0(cm^3)$, molecular weight: $202.0\sim430.0$ (amu) and surface areas (Grids): $194.0\sim356.0(\AA^2)$, hydration energy: $-10.16\sim114.7$ Kcal/mol, respectively. It is suggested that MR and polarizability constants will be able to distinguish between herbicides and medicinal drugs. Results revealed that various compounds based on the range of physicochemical parameters of herbicides could be diagnosed and estimated.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.1615-1621
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• 2013

Background: Matrix metalloproteinase 9 (MMP-9) is related to tumor invasion and metastasis. However, the role of MMP-9 expression in breast cancer survival remains controversial. The purpose of this study was to accomplish a more accurate estimation of the association between MMP-9 expression and survival results in breast cancer patients through meta-analysis. Methods: A meta-analysis of published studies investigating the effects of positive MMP-9 expression on both relapse free survival (RFS) and overall survival (OS) was performed. Relevant literature was confirmed by searching electronic databases including PubMed, Ovid, EMBASE and China National Knowledge Infrastructure (CNKI) before November 1, 2012. Individual hazard ratios (HRs) and 95% confidence intervals (CIs) were extracted and pooled HRs with 95% CIs were used to evaluate the strength of the association between positive MMP-9 expression and survival results of breast cancer patients. Funnel plot and Egger's regression tests were used to evaluate publication bias. Heterogeneity and sensitivity analysis was also conducted. All the work was completed using STATA. Results: A total of 2,344 patients from 15 evaluative studies were finally included. Pooled HRs and 95% CIs suggested that MMP-9 overexpression had an unfavorable impact on both OS (HR: 1.70, 95% CI: 1.41-2.04) and RFS (HR: 1.54, 95% CI: 1.17-2.01) in breast cancer patients. There was no significant heterogeneity observed in the studies reported for OS (P=0.360, $I^2$=8.8%), but not RFS (P=0.002, $I^2$=67%). Publication bias was absent among the studies both in OS and RFS cases (t=-0.54, P=0.605 and t=1.71, P=0.131, respectively). Omission of any single study had little effect on the combined risk estimates on sensitivity analysis. Conclusion: The results of this meta-analysis suggest that positive MMP-9 expression confers a higher risk of relapse and a worse survival in patients with breast cancer. Larger prospective studies are now needed to evaluate the clinical utility of MMP-9 expression.

• KDI Journal of Economic Policy
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• v.36 no.1
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• pp.43-80
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• 2014

This study suggests a model for calculating total benefit rigorously to use the contingent valuation method (CVM) in cost-benefit analysis (CBA). Estimating households' willingness to pay through survey method, the study attempts to demonstrate if a respondent's income and the distance between a respondent's residence and the location of a target facility affect her willingness to pay. The estimation results from a structural model show that income and distance-decay effects exist and that the calculated total benefit varies largely when these effects are ignored. The study emphasizes the effects of income and distance-decay on the total benefit must be carefully considered in using CVM for CBA. Even though the total project cost is precisely estimated, the benefit/cost (B/C) ratio may differ largely when the total benefit is not correctly calculated. Also, an ad hoc model generates significantly different estimates from the utility difference model this study adopted. The difference in estimates suggests that the total benefit has to be estimated by a structural model. Finally, simulations are performed to check the validity of the model as well as to predict consequences when income and distance-decay effects are not properly treated. The results from simulations reveal it is not desirable to ignore those effects considering the perspectives of balanced regional development.

• Journal of Preventive Medicine and Public Health
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• v.25 no.2 s.38
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• pp.115-126
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• 1992

To estimate the cancer mortality rates among Koreans, a mortality survey was carried out in the province of $Ky{\breve{o}}ngsangnam-do$. The study population are the beneficiaries of Korea Medical Insurance Corporation(KMIC), $Ky{\breve{o}}ngsangnam-do$ area, among which the 3,867 deaths occurred from January, 1989 to December, 1990, were reviewed to confirm the cancer deaths. These were based upon the death certificates and medical utilization records before dying which were available through the computerized databases on medical care utility of KMIC. The survey was conducted along three steps. At first, the death certificates were examined, as a second step medical utilization records were reviewed, and finally direct contacts to the family members of the deceased were done. As a result, 990 deaths were found due to cancer. Using them, age and sex specific cancer(all sites and several sites) mortality rates were estimated. Overall cancer mortality rate in the area was estimated 138.7 per 100,000 person-years in males, and 65.7 in females, respectively. And the orders of site-specific cancer mortality rates were the cancers of stomach, liver, lung, esophagus, and cancers of the hematopoietic system among males, In females, followed by gastric cancer, cancers of lung and liver are the 2nd and 3rd in rank, respectively and cancers of breast and uterine cervix are the 4th and the 5th in rank.