• Tuberculosis and Respiratory Diseases
• /
• v.78 no.4
• /
• pp.349-355
• /
• 2015

Background: The tuberculin skin test (TST) is the standard tool to diagnose latent tuberculosis infection (LTBI) in mass screening. The aim of this study is to find an optimal cut-off point of the TST+ rate within tuberculosis (TB) contacts to predict the active TB development among adolescents in school TB outbreaks. Methods: The Korean National Health Insurance Review and Assessment database was used to identify active TB development in relation to the initial TST (cut-off, 10 mm). The 7,475 contacts in 89 schools were divided into two groups: Incident TB group (43 schools) and no incident TB group (46 schools). LTBI treatment was initiated in 607 of the 1,761 TST+ contacts. The association with active TB progression was examined at different cut-off points of the TST+ rate. Results: The mean duration of follow-up was $3.9{\pm}0.9years$. Thirty-three contacts developed active TB during the 4,504 person-years among the TST+ contacts without LTBI treatment (n=1,154). The average TST+ rate for the incident TB group (n=43) and no incident TB group (n=46) were 31.0% and 15.5%, respectively. The TST+ rate per group was related with TB progression (odds ratio [OR], 1.025; 95% confidence interval [CI], 1.001-1.050; p=0.037). Based on the TST+ rate per group, active TB was best predicted at TST+ ${\geq}$ 16% (OR, 3.11; 95% CI, 1.29-7.51; area under curve, 0.64). Conclusion: Sixteen percent of the TST+ rate per group within the same grade students can be suggested as an optimal cut-off to predict active TB development in middle and high schools TB outbreaks.

• Proceedings of the IEEK Conference
• /
• 1999.11a
• /
• pp.895-898
• /
• 1999

We calculated Al-Absorption, Al-reflection, and Si-etching probabilities as a function of incident angle and energy using classical molecular dynamics (MD) simulation. Variations of the cases of Al-absorption rate and Al-reflection rate are less than that of Si-etching rate. In contrast with general prediction, our simulation results showed that channeling of the <110> direction occurred the most in the case of incident angle between 30degree and 40degree. We investigated that channeling of the <110> directions quite affect Al-absorption rate in silicon. Since Si-etching rate is high and Al-absorption rate by <110> channeling is high, we found that Al ionized physical vapor deposition (PVD) on Si(001) has a different characteristics with Al ionized PVD on A1(111).

• Journal of Korean Academy of Nursing Administration
• /
• v.20 no.4
• /
• pp.353-361
• /
• 2014

Purpose: The aim of this study was to compare job satisfaction, quality of life (QOL), incident report rate and overtime hours for 12-hour shifts and for 8-hour shifts in a pediatric intensive care unit (PICU). Methods: A descriptive survey was conducted with a convenience sample of 36 staff nurses from a PICU in a regional hospital in Korea. Data were collected using self-administrated questionnaires regarding job satisfaction and QOL at 6 months before and after the beginning of 12-hour shifts. Incident report rate and overtime hours for both 12-hour and 8-hour shifts were compared. Comparisons were made using $x^2$-test, paired t-test and Mann-Whitney U test. Results: After 12-hour shifts were initiated, job satisfaction significantly increased (t=3.93, p<.001) and QOL was higher for nurses on 12-hour shifts compared to 8-hour (t=7.83, p<.001). There was no statistically significant change in incident report rate ($x^2=0.15$, p=.720). The overtimes decreased from $36.3{\pm}34.7$ to $17.3{\pm}34.9$ minutes (Z=-8.91, p<.001). Conclusion: These results provide evidence that 12-hour shifts can be an effective ways of scheduling for staff nurses to increase job satisfaction and quality of life without increasing patient safety incidents or prolonged overtime work hours.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.20 no.6
• /
• pp.1161-1175
• /
• 2018

An unexpected event could be easily followed by a large secondary accident due to the limitation in sight of drivers in road tunnels. Therefore, a series of automated incident detection systems have been under operation, which, however, appear in very low detection rates due to very low image qualities on CCTVs in tunnels. In order to overcome that limit, deep learning based tunnel incident detection system was developed, which already showed high detection rates in November of 2017. However, since the object detection process could deal with only still images, moving direction and speed of moving vehicles could not be identified. Furthermore it was hard to detect stopping and reverse the status of moving vehicles. Therefore, apart from the object detection, an object tracking method has been introduced and combined with the detection algorithm to track the moving vehicles. Also, stopping-reverse discrimination algorithm was proposed, thereby implementing into the combined incident detection processes. Each performance on detection of stopping, reverse driving and fire incident state were evaluated with showing 100% detection rate. But the detection for 'person' object appears relatively low success rate to 78.5%. Nevertheless, it is believed that the enlarged richness of image big-data could dramatically enhance the detection capacity of the automatic incident detection system.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.17 no.6
• /
• pp.25-39
• /
• 2018

The purpose of this study is to develop an efficient incident detection algorithm by applying machine learning, which is being widely used in the transport sector. As a first step, network of the target site was constructed with micro-simulation model. Secondly, data has been collected under various incident scenarios produced with combination of variables that are expected to affect the incident situation. And, detection results from both McMaster algorithm, a well known incident detection algorithm, and the Naive Bayes algorithm, developed in this study, were compared. As a result of comparison, Naive Bayes algorithm showed less negative effect and better detect rate (DR) than the McMaster algorithm. However, as DR increases, so did false alarm rate (FAR). Also, while McMaster algorithm detected in four cycles, Naive Bayes algorithm determine the situation with just one cycle, which increases DR but also seems to have increased FAR. Consequently it has been identified that the Naive Bayes algorithm has a great potential in traffic incident detection.

• Journal of Electrical Engineering and Technology
• /
• v.1 no.1
• /
• pp.110-113
• /
• 2006

A high rate deposition sputtering process of magnesium oxide thin film in oxide mode has been developed using a 20 kW unipolar pulsed power supply. The power supply was operated at a maximum constant voltage of 500 V and a constant current of 40 A. The pulse repetition rate and the duty were changed in the ranges of $10\sim50$ kHz and $10\sim60%$, respectively. The deposition rate increased with rising incident power to the target. Maximum incident power to the magnesium target was obtained by the control of frequency, duty and current. The deposition rate of a moving state was 9 nm m/min at the average power of 1.5 kW. This result shows higher deposition rate than any other previous work involving reactive sputtering in oxide mode. The thickness uniformities over the entire substrate area of $982mm{\times}563mm$ were observed at the processing pressure of $2.8\sim9.5$ mTorr. The thickness distribution was improved at lower pressure. This technique is proposed for application to a high through-put sputtering system for plasma display panels.

• Fire Science and Engineering
• /
• v.34 no.4
• /
• pp.13-21
• /
• 2020

This study tested the wood used in building interiors; each type had various incident heat fluxes based on their thickness. The combustion characteristics measured were effective heat of combustion, heat release rate peak and arrival time, maximum average rate of heat emission, and piloted ignition temperature. The wood specimens used in the experiment were 4.8 to 18 mm thick. 25, 35, 50, and 60 kW/㎡ were applied to the incident heat flux that the wood specimens were exposed to. The wood specimens tested were two types of medium-density fiberboard (each with a different density), treated red pine, particle board, and plywood. A comprehensive comparison of different fire characteristics was conducted to analyze the fire patterns corresponding to each type of wood in this way, the risk of fire was studied. The risk of fire was particularly high for particle board. The results of quantifying the fire characteristics of the types of wood studied could function as important input data with which to calculate the fire load of composite combustibles.

• Journal of IKEEE
• /
• v.23 no.2
• /
• pp.358-363
• /
• 2019

In this paper, we implemented a welfare system for the elderly living alone, disabled, or babies to provide fast incident response in case of emergency situations. The proposed system can quickly recognize emergency situations using heart rate sensors and real-time image sharing. The sensors attached on a wrist band monitor the heart rate along with relevant bio signals of clients and send alarms to guardians in the emergency situations. At the same time, the real-time image signals are captured using OpenCV and sent to the guardians in order to give the exact information for fast and appropriate response to handle the situation. In the proposed system, the camera works only in the emergency situations so as to provide enough privacy to the client's every day life.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.2 no.5
• /
• pp.85-92
• /
• 1994

Characteristics of breakup of a liquid droplet impinging on a hot surface has been investigated experimentally by using decane fuel. Factors influencing droplet breakup are surface temperature, impinging velocity, droplet diameter and incident angle. Droplets impinging on a hot surface begins to breakup at $220{\sim}235^{\circ}C$. This temperature varies with impinging Velocity, droplet diameter and incident angle. For wall temperature of $220{\sim}245^{\circ}C$ and above $270^{\circ}C$, breakup probability increases as impinging velocity increases showing S shape curve. For $245{\sim}265^{\circ}C$, a local minimum heat transfer rate occurs. In this temperature range, breakup probability shows nonmonotonous behavior as functions of impinging velocity. As droplet diameter decreases, impinging velocity required for droplet breakup increases. An optimum impinging angle for droplet breakup exists which are found to be about $75^{\circ}$.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.33 no.5
• /
• pp.801-811
• /
• 2023

With the cyber incidents increasing every year, opinions are being raised that legal system relating to incident reporting needs to be revised to improve the cyber incident reporting rate, etc. Accordingly, this paper suggests a legal improvement to enhance the effectiveness of cyber incident reporting. First, by analyzing domestic media coverage, this paper defines the problems which need to be improved regarding an incident reporting system as "unreported" and "not timely reporting". Then, this paper finds four requirements for legal improvement like "a reporting entity", "a starting point of reporting", "a reporting deadline" and "a protection of reporting information" by analyzing the relationship between reporting relating problems and issues published by overseas institutions and additionally by analyzing the need to revise the law. Finally, through an analysis of legislative cases, this paper suggests a legal improvement for the requirements.