• Clinical and Experimental Pediatrics
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• v.52 no.1
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• pp.68-74
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• 2009

Purpose : We assessed about the measles elimination in Korea according to analyzing national data on measles cases for 2002-2007. Methods : We estimated the effective reproduction number according to the proportion of imported cases and outbreak size. Results : Eleven cases, thirteen cases, six cases, six cases, 25 cases (60.0% were linked to 1 outbreak of 15 cases), and 180 cases (55.6% were linked 11 outbreaks of 2, 2, 2, 3, 3, 3, 5, 9, 9, 12, 50 cases) were reported in 2002, 2003, 2004, 2005, 2006 and 2007, respectively. In 2002-2007, R is 0.95 by imported case and 0.43 by outbreak sizes. In 2007, multiple chains of transmission occurred in hospital. Most of cases were below 4 ages and unvaccinated. We didn't find most of the infection source. Conclusion : We should prevent outbreak of susceptibility pocket like nosocomial infection, conduct reliable routine surveillance and epidemiological investigation to solve a problem of the measles elimination.

• Journal of Korean Clinical Nursing Research
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• v.23 no.3
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• pp.267-280
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• 2017

Purpose: The purpose of this study was to describe the status of infection control nurses (ICNs) and their activities, and to identify the factors affecting the level of infection control activities. Methods: Data were collected from 199 hospitals from June 24 to July 26, 2016. The structured questionnaires included status of infection control nurses, type and level of infection control activities. Results: Most participating hospital were advanced general hospital (20.1%) and general hospital (67.8%). Among the hospitals, 86.4% had an infection control department (ICD). The average hospital work experience of ICNs was 14.62 years, and their average infection control career was for 4.94 years. Among the ICNs, 85.6% worked in full time and the average number of beds per ICN was 311.21. There were significant differences in the existence of ICD, infection control activities including surveillance, outbreak investigation, negative pressure room, hand hygiene monitoring, disinfection, and sterilization according to hospital size. The level of infection control activities was higher with more number of ICNs, ICN employment as full time, and healthcare institution accreditation status. The explanatory power was 37.5%. Conclusion: These results of this study which reflect infection control status of healthcare facilities with more than 150 beds in 2016 will provide baseline data to establish infection control system in small to medium sized hospitals after the Middle East Respiratory Syndrome outbreak in 2015.

• Transactions on Control, Automation and Systems Engineering
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• v.4 no.2
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• pp.176-187
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• 2002

This paper focuses on the study of simulation and evolution of Micro Air Vehicles. Micro Air Vehicles or MAVs are small flying robots that are used for surveillance, search and rescue, and other missions. The simulated robots are designed based on realistic characteristics and the brains (controllers) of the robots are generated using genetic algorithms, i .e., simulated evolution. The objective for the experiments is to investigate the effects of robot team size and topology (simulation environment) on the evolution of simulated robots. The testing of team sizes deals with finding an ideal number of robots to be deployed for a given mission. The goal of the topology experiments is to see if there is an ideal topology (environment) to evolve the robots in order to increase their utility in most environments. We compare the results of the various experiments by evaluating the fitness values of the robots i .e., performance measure. In addition, evolved robot teams are tested in different situation in order to determine if the results can be generalized, and statistical analysis is performed to evaluate the evolved results.

• Current Industrial and Technological Trends in Aerospace
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• v.7 no.1
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• pp.141-152
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• 2009

The simultaneous operation of multiple UAV's makes it possible for us to raise the mission accomplishment and cost efficiency. For this we need an easily scalable control algorithm, and swarm intelligence having the characteristics such as flexibility, robustness, decentralized control and self-organization comes into the spotlight as a practical substitute. In this paper the features of swarm intelligence are described, and various research results are introduced which show that the application of swarm intelligence to the control of multiple UAV's enables the missions of surveillance, path planning, target tracking and attack to be accomplished efficiently by simulations and tests.

• Journal of Preventive Medicine and Public Health
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• v.50 no.4
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• pp.274-277
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• 2017

Objectives: Legionnaires' disease (LD) is a severe type of pneumonia caused by inhalation of aerosols contaminated with Legionella. On September 22, 2016, a single case of LD was reported from a newly built apartment building in Gyeonggi province. This article describes an epidemiologic investigation of LD and identification of the possible source of infection. Methods: To identify the source of LD, we interviewed the patient's husband using a questionnaire based on the Legionella management guidelines from the Korea Centers for Disease Control and Prevention. Water samples from the site were collected and analyzed. An epidemiological investigation of the residents and visitors in the apartment building was conducted for 14 days before the index patient's symptoms first appeared to 14 days after the implementation of environmental control measures. Results: Legionella pneumophila serogroup 1 was isolated from the heated-water samples from the patient's residence and the basement of the apartment complex. Thirty-two suspected cases were reported from the apartment building during the surveillance period, yet all were confirmed negative based on urinary antigen tests. Conclusions: The likely source of infection was the building's potable water, particularly heated water. Further study of effective monitoring systems in heated potable water should be considered.

• Journal of Fisheries and Marine Sciences Education
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• v.22 no.3
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• pp.303-315
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• 2010

The fisheries resource in waters under the jurisdiction of Korea is being endangered by unlawful fishery. The Korean government exerted great efforts to establish the public order of water, but the number of the exposed unlawful fishing violations has increased for last 10 years. The system to guide fisheries regulatory noncompliance of Korea is limited to the use of fishing guidance patrol boats. For strength of monitoring and surveillance systems, the government needs to phase in Vessel Monitoring System. But there are some studies for that. The defects of present monitoring practice can be drawn from the facts described above. The qualification of the fishery control official one of most important element of fishing control system, is defined as any officer who is charging on fishing. For clear law enforcement the qualification should require considerable experience and knowledge. Korean coast guards have problems on guiding unlawful fishing violations because of the absence of administrative authority by comparison with the fisheries guiding officer, who has both authorities on administration and jurisdiction. To draw some judicial problems this research presents a analysis on the fishing control system. The research suggests the improvements to compensate the defects.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.12
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• pp.1205-1211
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• 2008

This paper describes methods to estimate 3-D position of target with respect to reference frame through monocular image from unmanned aerial vehicle (UAV). 3-D position of target is used as information for surveillance, recognition and attack. In this paper. 3-D position of target is estimated to make guidance and control law, which can follow target, user interested. It is necessary that position of target is measured in image to solve 3-D position of target. In this paper, kalman filter is used to track and output position of target in image. Estimation of target's 3-D position is possible using result of image tracking and information of UAV and camera. To estimate this, two algorithms are used. One is methode from arithmetic derivation of dynamics between UAV, carmer, and target. The other is LPV (Linear Parametric Varying). These methods have been run on simulation, and compared in this paper.

• 한국환경농학회:학술대회논문집
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• 2009.07a
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• pp.240-272
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• 2009

Recently, as Foot and Mouth disease(FMD) outbreaks in South-East Asia, Taiwan, China, we cannot loose our tense to sustain our FMD free country status. And we have increasing possibility of disease inflow because of continual outbreaks of FMD type A, O and Asia 1 in neighbored countries, foreign visitor and foreign workers. So we have to be urgently ready for strengthen surveillance, early-report and early-diagnosis. So the most important things in epidemic control of livestock are co-work between central and local epidemic control office and field epidemic control. However, potential risk for FMD recurrence and sporadic occurrence of epidemic disease still threaten our livestock farmhouse, so we have to be ready for bio-security against these threatening. For these reasons, I will introduce the concept, etiology and epidemiology of disease and investment/ analysis of health management standard of main animals like cattle and pig which is applied to the inside and outside of country. With these references, we have to manage livestock health management thoroughly by establishing livestock health management standard and notifying special veterinarian and livestock farmer of these standard. Later on, prevention and quarantine of epidemic outbreak and establishing livestock health management standard should be undertaken primarily for sustainable growth and stability of livestock farm industry.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.6
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• pp.558-565
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• 2011

Various robot platforms have been designed and developed to perform given tasks in a hazardous environment for surveillance, reconnaissance, search and rescue, etc. We considered a terrain-adaptive and transformable hybrid robot platform that is equipped with rapid navigation capability on flat floors and good performance in overcoming stairs or obstacles. The navigation mode transition is determined and implemented by adaptive driving mode control of the mobile robot. In order to maximize the usability of wheel-track hybrid robot platform, we propose a terrain-adaptive and user-friendly remote controller and verify the efficiency and performance through its navigation performance experiments in real and test-bed environments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.4
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• pp.93-99
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• 2020

It seems to be increased rapidly that practical uses of intelligent Dron for public mission performance such as surveillance, prevention of disaster accident, relief etc with Dron technology development. Dron is needed for major technology realization of detection and trace technology of target, flight control and obstacle avoidance during flighting, detection and control of landing point functions to use smart safety-city platform construction. This dron system cause a great ripple effect technically and promote industrialization in the field of new technology. In this paper, an effective analysis and design method of dron system software will be presented by showing user requirement analysis using object-oriented method, flowchart and screen design.