• Smart Media Journal
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• v.9 no.3
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• pp.122-129
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• 2020

The possibility that an asymptotic coronavirus-19 infected person around the world is not aware of his infection and can spread it to people around him is still a very important issue in that the public is not free from anxiety and fear over the spread of the epidemic. In this paper, the K-means clustering algorithm and deep learning-based crowd aggregation were proposed to determine the possibility of contact with confirmed cases of infectious diseases. As a result of 300 iterations of all input learning images, the PSNR value was 21.51, and the final MAE value for the entire data set was 67.984. This means the average absolute error between observations and the average absolute error of fewer than 4,000 people in each CCTV scene, including the calculation of the distance and infection rate from the confirmed patient and the surrounding persons, the net group of potential patient movements, and the prediction of the infection rate.

• Journal of Convergence Society for SMB
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• v.5 no.4
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• pp.5-10
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• 2015

With the advance of ICT, understanding the condition of network and analysing network monitoring have become an important issue. On the TCP/IP network, SNMP is the typical protocol that catches the condition of network by using polling method. If polling method is implemented for a long period, to catch the change of the condition of the network is not easy. On the other hand, in case of short-term polling, even if it could catch the condition of the network in real time, responsive messages to results of the polling cause the increase of traffic and therefore burden the network. There have been studies to control the overhead of responsive messages by controlling the polling period. However, not considering the characteristics of an agent, and running randomly, they cannot decrease the overhead although they would have an instant effect. This paper suggests an efficient polling method that decreases the traffic overhead of polling and catches the condition of the network in real time. Proposed method an polling for a short period and gave weight based on the characteristics of agents to catch the network condition, and a manager decided polling differentially based on the weight so that it decreased the overhead of polling traffic.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.1-9
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• 2018

In the fourth industrial revolution, which has become an issue now, we have been able to receive instant analysis results faster than the existing slow speed through various Big Data technologies, and to conduct real-time monitoring on mobile and web. First, various irregular sensor Data is generated using IoT device, Raspberry Pi. Sensor Data is collected in real time, and the collected data is distributed and stored using several nodes. Then, the stored Sensor Data is processed and refined. Visualize and output the analysis result after analysis. By using these methods, we can train the human resources required for Big Data and mobile related fields using IoT, and process data efficiently and quickly. We also provide information that can confirm the reliability of research results through real time monitoring.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.637-644
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• 2012

In our current information focused society, information is regarded as a core asset and the leakage of customers' information has emerged as a critical issue, especially in financial companies. It is very likely that the technology that safeguards which is currently in commercial use is not focused at an enterprise level but is fragmented by function or by only guards portions of a customer's personal information. Therefore, It is necessary to study the systems which monitor the indicators of access at an enterprise level in order to preemptively prevent the compromise of such data. This study takes an enterprise perspective on such systems for a financial company. I will focus on examination of the methods of implementation of the monitoring system, the application of pattern analysis and examination of Security Risk Indicators (SRI). A trial of the monitoring system provided security managers and related departments with proper screening capabilities of information. Therefore, it is possible to establish a systemic counter-plans based on detectable patterns.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.242-244
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• 2022

In recent years, the number of single-person households is increasing with the aging of the population and the number of the elderly living alone is increasing rapidly with the aging of the population. Therefore, the lonely death of the elderly living alone has become a social issue. In many cases, the body is discovered several days after death. In particular, lonely death of the elderly living alone is being taken more seriously in society, as there is no one to arrange funerals, organize and dispose of their belongings. Since the body is usually found after a few days, the decomposition of the body is often severe. Therefore, this paper proposes an indoor monitoring system using a temperature and humidity sensor and a human body sensor to prevent and respond to lonely deaths in the elderly living alone.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10b
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• pp.38-43
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• 2007

최근의 소프트웨어들이 다양한 기능을 갖추어가면서 점차 복잡도가 증가하고 있으며, 이에 따라 오류로부터의 복구도 어려워져 가고 있다. 이러한 변화는 소프트웨어의 자가 치유 연구에 중요한 이슈가 되고 있다. 하지만 자가 치유 방법론에서 중요한 요소 중에 하나인 모니터는 아직까지 개발자가 일일이 작성해야 하는 한계가 있다. 따라서 본 논문은 외부 자원으로 인한 오류를 탐지하는 모니터 모듈의 생성을 자동화하는 방법론을 제시하고, 이것을 적용한 소프트웨어 아키텍처를 제안한다. 본 방법론은 1) UML의 배치 다이어그램으로부터 소프트웨어와 하드웨어간의 연결을 분석하고, 2) 기술된 제약사항을 이용하여 모니터링 모듈을 자동으로 생성한다. 3) 이후 생성된 모듈을 소프트웨어 사양에 맞게 수정한 후 컴포넌트에 추가한다. 이러한 제안 방법론을 통해 기존에 수동으로 만들어야 했던 외부 자원 모니터를 자동화하는 것이 가능해 진다. 본 논문에서는 평가를 위해 제안 방법론을 비디오 회의 시스템의 클라이언트에 적용하여, 외부 자원의 오류를 올바르게 탐지해내는지 확인한다.

• Journal of the Korean GEO-environmental Society
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• v.18 no.11
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• pp.5-12
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• 2017

Perfluorinated compounds (PFCs) as environmental pollutants are an important environmental issue. However, little is known on the PFCs monitoring of sea waters around estuaries on the East and West Coasts of Korea. This study shows the monitoring results of PFCs in sea waters in these Coasts. Among 10 PFCs selected in this study, concentrations of perfluorooctanesulfonate (PFOS), perfluorooctanoate (PFOA), perfluorobutane sulfonate (PFBS), and perfluorohexane sulfonate (PFHxS) in the East Coast were 9.6-50.7 ng/L (total mean${\pm}$standard deviation: $26.14{\pm}12.66ng/L$), 13.79-44.58 ng/L ($27.95{\pm}11.41ng/L$), limit of quantification (LOQ)-2.6 ng/L ($0.96{\pm}1.15ng/L$), and 2.95-11.05 ng/L ($4.25{\pm}2.57ng/L$), respectively. In the West Coast, concentrations of PFOS, PFOA, PFBS, and PFHxS were 27.66-51.71 ng/L ($36.27{\pm}7.79ng/L$), 8.97-22.53 ng/L ($14.47{\pm}4.25ng/L$), LOQ-2.27 ng/L ($1.63{\pm}0.93ng/L$), and 3.0-7.66 ng/L ($4.27{\pm}1.49ng/L$), respectly. Other PFCs were below LOQ. The result of this study provides the distribution pattern of PFCs for assessing environmental pollution in two coastal areas of Korea.

• Korean Journal of Remote Sensing
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• v.35 no.5_2
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• pp.763-772
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• 2019

High-resolution satellites capable of observing the Earth periodically enhance applicability of remote sensing in the field of national disaster management from national disaster pre-monitoring to rapid recovery planning. The National Disaster Management Research Institute (NDMI) has been developed various satellite-based disaster management technologies and applied to disaster site operations related to typhoons and storms, droughts, heavy snowfall, ground displacement, heat wave, and heavy rainfall. Although the limitation of timely imaging of satellite is a challenging issue in emergent disaster situation, it can be solved through international cooperation to cope with global disasters led by domestic and international space development agencies and disaster organizations. This article of special issue deals with the scientific disaster management technologies using remote sensing and advanced equipments of NDMI in order to detect and monitor national disasters occurred by global abnormal climate change around the Korean Peninsula: satellite-based disaster monitoring technologies which can detect and monitor disaster in early stage and advanced investigation equipments which can collect high-quality geo-information data at disaster site.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06d
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• pp.444-448
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• 2010

지구 온난화 현상, 국제 유가 급등, 화석 연료의 고갈 등 여러 가지 환경 문제에 대한 세계적인 관심이 높아지면서 UNFCCC(United Nations Framework Convention on Climate Change) 이 각국의 온실가스 배출량을 제한하기 위한 활동을 벌이고 있다. 그리고 온실가스 배출량을 국가별 또는 산업별로 정량적으로 산출하기 위해 IPCC(Intergovernmental Panel on Climate Change), WRI/WBCSD (World Resources Institute and World Business Council for Sustainable Development) 및 ISO 등 국제기관과 표준단체에서 표준지침을 제정하여 온실가스를 산정하는 노력을 기울이고 있다. 본 논문에서는 IT산업에서 환경 문제 해결을 위해 자구적인 노력을 하고 있는 그린 IT분야에서 이슈가 되고 있는 그린데이터센터에 대해 알아보고, 데이터센터를 에너지관리 측면에서 관리하기 위한 전력사용량 모니터링에 탄소배출량 산정 지침을 적용한 "스마트 에너지/탄소 관리 시스템 설계"에 대해 살펴보고 향후 구축에 있어 이슈가 될 사항을 점검해 본다.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.613-621
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• 2021

This study conducted a network analysis to determine how COVID-19 vaccine-related issue spread on Twitter during the introduction stage of the COVID-19. Issue diffusion tendency is analyzed according to the time period: phase 1 (initiation of vaccine introduction: March 7 - April 3, 2021), phase 2 (stagnant period of vaccination: April 4 - April 22, 2021), and phase 3 (increase of vaccination: April 23 - May 5, 2021). NodeXL was used for data collection and analysis. Daily Twitter network data were collected by entering search terms highly related to the COVID-19 vaccine. This study found that side effects-related opinions were repeatedly formed throughout the analysis period. As the vaccination rate increased and death cases were reported on media, death-related issues also emerged on Twitter. On the other hand, vaccine safety did not receive much attention on Twitter. The results of this study highlight the role of social media as a channel of issue diffusion when a national disaster strikes. We emphasize the need for the government to monitor public opinions on social media and reflect them in crisis communication strategies.