• Journal of Preventive Medicine and Public Health
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• 제40권4호
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• pp.259-264
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• 2007

Effective communicable disease surveillance systems are the basis of the national disease prevention and control. Following the increase in emerging and re-emerging infectious diseases since late 1990s, the Korean government has strived to enhance surveillance and response system. Since 2000, sentinel surveillance, such as influenza sentinel surveillance, pediatric sentinel surveillance, school-based sentinel surveillance and ophthalmological sentinel surveillance, was introduced to improve the surveillance activities. Electronic reporting system was developed in 2000, enabling the establishment of national database of reported cases. Disweb, a portal for sharing communicable disease information with the public and health care workers, was developed. In general, the survey results on usefulness and attributes of the system, such as simplicity, flexibility, acceptability, sensitivity, timeliness, and representa-tiveness, received relatively high recognition. Compared to the number of paid cases of national health insurance, reported cases by national notifiable disease surveillance system, and various sentinel surveillance system, the result of the correlation analysis was high. According to the research project conducted by KCDC, the reporting rate of physicians in 2004 has also greatly improved, compared with that in 1990s. However, continuous efforts are needed to further improve the communicable disease surveillance system. Awareness of physicians on communicable disease surveillance system must be improved by conducting education and information campaigns on a continuous basis. We should also devise means for efficient use of various administrative data including cause of death statistics and health insurance. In addition, efficiency of the system must be improved by linking data from various surveillance system.

• Journal of Preventive Medicine and Public Health
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• 제40권4호
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• pp.273-277
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• 2007

The purpose of establishing the circulatory disease surveillance system in Korea is to ensure that the problems of circulatory disease importance are being monitored efficiently and effectively. The goals of circulatory disease surveillance system are to monitor the epidemiological trends of circulatory disease and to evaluate the outcome of health activity for controlling circulatory diseases. Surveillance system are being updated to achieve the needs for the integration of the surveillance and information system, the establishment of data standards, the electronic exchange of data, and changes in the goals of circulatory disease surveillance system to facilitate the response of this system to manage the national health problem effectively. This article provides the target diseases and determinant indicators to be monitored, structure of circulatory disease surveillance system, and many tasks and related activities that should be applied to this system.

• 디지털콘텐츠학회 논문지
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• 제19권3호
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• pp.587-593
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• 2018

증후군감시는 감염병 발생 초기에 나타날 수 있는 임상적 증상 발생동향을 감시하여 감염병의 발생을 가능한 조기에 인지하기 위해 고안된 감시체계이다. 한국 질병관리본부에서는 응급실 기반의 증후군감시시스템을 개발하였으며, 현 시스템의 기능을 강화하고자 국외 증후군감시 조기경보시스템에 관한 문헌조사를 하였다. 본 논문에서는 국외 증후군감시 조기경보시스템 운영현황을 설명, 비교하여 한국의 응급실 기반 증후군감시를 위한 조기경보시스템의 개선에 필요한 근거자료를 마련하였다.

• 대한수의학회지
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• 제50권1호
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• pp.43-48
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• 2010

Animal disease surveillance system, defined as the continuous investigation of a given population to detect the occurrence of disease or infection for control purposes, has been key roles to assess the health status of an animal population and, more recently, in international trade of animal and animal products with regard to risk assessment. Especially, for a system aiming to determine whether or not a disease is present in a population sensitivity of the system should be maintained high enough not to miss an infected animal. Therefore, when planning the implementation of surveillance system a number of factors that affecting surveillance sensitivity should be taken into account. Of these parameters sample size is of important, and different approaches are used to calculate sample size, usually depending on the objective of surveillance systems. The purpose of this study was to evaluate the sensitivity of the current national serological surveillance programs for four selected bovine diseases assuming a specified sampling plan, to examine factors affecting the probability of detection, and to provide sample sizes required for achieving surveillance goal of detecting at least an infection in a given population. Our results showed that, for example, detecting low level of prevalence (0.2% for bovine tuberculosis) requires selection of all animals per typical Korean cattle farm (n = 17), and thus risk-based target surveillance for high risk groups can be an alternative strategy to increase sensitivity while not increasing overall sampling efforts. The minimum sample size required for detecting at least one positive animal was sharply increased as the disease prevalence is low. More importantly, high reliability of prevalence estimation was expected with increased sampling fraction even when zero-infected animal was identified. The effect of sample size is also discussed in terms of the maximum prevalence when zero-infected animals were identified and on the probability of failure to detect an infection. We suggest that for many serological surveillance systems, diagnostic performance of the testing method, sample size, prevalence, population size, and statistical confidence need to be considered to correctly interpret results of the system.

• 제어로봇시스템학회논문지
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• 제21권11호
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• pp.989-995
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• 2015

Due to the recent increase of the importance and demand of security services, the importance of a surveillance monitor system that makes an automatic security system possible is increasing. As the market for surveillance monitor systems is growing, price competitiveness is becoming important. As a result of this trend, surveillance monitor systems based on an embedded system are widely used. In this paper, an object detection algorithm based on an embedded system for a surveillance monitor system is introduced. To apply the object detection algorithm to the embedded system, the most important issue is the efficient use of resources, such as memory and processors. Therefore, designing an appropriate algorithm considering the limit of resources is required. The proposed algorithm uses two background models; therefore, the embedded system is designed to have two independent processors. One processor checks the sub-background models for if there are any changes with high update frequency, and another processor makes the main background model, which is used for object detection. In this way, a background model will be made with images that have no objects to detect and improve the object detection performance. The object detection algorithm utilizes one-dimensional histogram distribution, which makes the detection faster. The proposed object detection algorithm works fast and accurately even in a low-priced embedded system.

• 한국학교ㆍ지역보건교육학회지
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• 제15권3호
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• pp.1-15
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• 2014

Objectives: This study was performed to develop the indicators for national surveillance of chronic disease, which is a governmental concern to manage the chronic disease for older persons. It is necessary that chronic disease surveillance system needs to be made in Korea for effective management of chronic diseases. With the system, we know the prevalence and incidence of chronic diseases, observe the trend of utilization for caring the chronic diseases, and analyze the behavior change for prevention of chronic diseases. Methods: This study was carried out by analyzing the data by which the indicators was produced, by reviewing how the United States made the indicators. By benchmarking the United States, the sources of data of the national surveillance indicators for chronic diseases in Korea were compared. Results: In this study, the most significant indicators were identified and proposed to improve the surveillance indicators by changing the sources of data. These findings warrant further development of the health policy for the chronic disease prevention and establishment of the chronic disease surveillance system. Conclusions: The results of this study can be used to develop national surveillance indicators to manage the chronic diseases and can be used as basic data to develop community health programs.

• 시스템엔지니어링학술지
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• 제15권1호
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• pp.16-24
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• 2019

In this study, an improved method of setting the RAM goals for surveillance system using OMS/MP and field operations data of similar systems is suggested and a case study of surveillance system A is given. Newly suggested methods for setting the RAM goals consist of the procedures such as On/Off time analysis of configuration equipment based on OMS/MP, field operations data analysis of similar systems, adjustment of preventive maintenance time, the number of corrective maintenances, and TALDT in wartime, introducing new subsystem to reliability structure of surveillance system, and reflecting expert's opinion. A case study of surveillance system A shows that newly suggested method in this study for setting the RAM goals is reasonably acceptable and practically applicable to other similar systems.

• 한국멀티미디어학회논문지
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• 제24권2호
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• pp.186-198
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• 2021

Security control using surveillance cameras is established when people observe all surveillance videos directly. However, this task is labor-intensive and it is difficult to detect all abnormal situations. In this paper, we propose a deep neural network model, called AT-Net, that automatically detects abnormal situations in the surveillance video, and introduces an automatic video surveillance system developed based on this network model. In particular, AT-Net alleviates the ambiguity of existing abnormal situation detection methods by mapping features representing relationships between people and objects in surveillance video to the new tensor structure based on sparse coding. Through experiments on actual surveillance videos, AT-Net achieved an F1-score of about 89%, and improved abnormal situation detection performance by more than 25% compared to existing methods.

• 센서학회지
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• 제13권2호
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• pp.144-151
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• 2004

In this paper, we propose an active stereo surveillance system with human-like convergence function. The proposed system uses a bottom-up saliency map model with the human-like selective attention visual function to select an interesting region in each camera. and this system compares the landmarks whether the selective region in each camera finds a same region. If the left and right cameras successfully find a same landmarks, the implemented vision system focuses on the landmark. Using the motor encoder information, we can automatically obtain the depth information and resultantly construct a depth map using the depth information. Computer simulation and experimental results show that the proposed convergence method is very effective to implement the active stereo surveillance system.

• 한국산업보건학회지
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• 제22권1호
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• pp.1-8
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• 2012

Objectives: The aim of this study is to review occupational hygiene activities, including work environment measurement as required by the industrial safety and health laws of Korea, and suggest improvements required to establish an effective exposure surveillance system. Methods: The controversial limitations of exposure surveillance examining the work-association of several types of cancers in semiconductor workers were reviewed. Results: The bulk of the exposure surveillance system was found to focus purely on work environment measurements without providing other important exposure surrogates, such as job title, operation, exposure duration, etc. The current work environment measurement system is limited in terms of the efficient assessment of the exposure status of workers due to a lack of exposure information. Conclusion: The introduction of a national standard classification of occupations and job titles into the exposure and health effect surveillance system should be discussed in order to retrospectively assess exposure characteristics.