• Title/Summary/Keyword: Alarm Monitoring Service

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A Study on the Methods of Fire-Safety in Cultural Property Wooden Buildings (목조 문화재 건축물의 화재 방재를 위한 조사 연구)

  • Chang, Hyung-Soon;Cho, Won-Seok;Kim, Heung-Gee
    • Journal of the Korean Institute of Rural Architecture
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    • v.10 no.4
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    • pp.25-32
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    • 2008
  • The prevention of disasters in cultural property is very important management and historical duties. The reason can't be measured values with monetary scale of our contemporary. Therefore, this paper was considered fire-safety as one of terrible threat-disasters about the wooden buildings. This research deal with 47 cases cultural property wooden building by whole investigation(field survey and interview) in Gangnung province. The most buildings have basic fire extinguisher; ABC powder. A few buildings are rarely installed fire extinguishing equipments; outdoor fire hydrant, heat sensor, ground sprinkler, CO2-hose-reel. But these state is very insufficient for the fire-safety in cultural property wooden buildings. Specially as particular attention in province, forest fire of regional characteristic have close relation with cultural property fire. The majority of factor against forest and building fire is to provide monitoring and security system; CCTV, Fence, Sensor, Alarm and paid guard man against incendiary. Ultimately it is necessary to construct comprehensive disaster prevention system with the organic cooperation such as National Emergency Management Agency, Cultural Heritage Administration, Forest Service, local government officials and regional citizen.

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Location Tracking based on MS-Based/Assisted Location Trigger Model with Context-Awareness

  • Park, Sung-Suk;Lee, Yon-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.6
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    • pp.63-69
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    • 2016
  • In this paper, we proposed the location tracking system based on MS-Based/Assisted(Mobile Station-Based and Assisted) location trigger service model with context-awareness for the intelligent location tracking of moving objects. It provides the proper resulting value that matches the context of users through the analysis about the situation of the user, physical environment, computing resource and the existing information on user input. In order to provide real-time data, we proposed the location tracking system which realizes the intelligent information such as the expecting arrival time and passing the specific area of the moving object by adopting the location trigger. So, it derives to minimize the costs of communication for the mobile object tracking applications. The proposed location tracking system based on context-awareness can be used for realtime monitoring, intelligent alarm/action, setting up of the optimized moving path, dynamic adjustment of strategies and policies. So it has the advantage to develop the application system which is aimed at optimization of the object tracking and movement.

Study of Local Area Weather Condition Monitoring System in WSN (WSN기반의 국지적 기상모니터링 시스템 고찰)

  • Chung, Wan-Young;Jung, Sang-Joong;Kim, Jong-Jin;Kwon, Tae-Ha
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.271-276
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    • 2009
  • An local area weather condition monitoring system to minimize many disasters from the sudden change of weather condition in local and mountain area is proposed. Firstly, the comparison of present state of the related monitoring systems and the possibility of realization with some merits are investigated. Moreover, this paper present direction of local area weather condition monitoring system based on integration of wireless sensor network and CDMA network following some case study. Through the efficient integration of both networks, the measured weather condition data from sensors can be transmitted to the server or mobile to monitor with high reliability. The proposed monitoring system will guide new type of project in wireless sensor network and support alarm service of the sudden change of weather condition to mobile user from central official regulations.

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A Warning Threshold Proposal for Operation Improvement of Maritime DGPS Reference Station (해양용 DGPS 운영성 개선을 위한 시스템 경고 임계값 제안)

  • Choi, Yong Kwon;Lee, Ju Hyun;Son, Seok Bo;Lee, Sang Jeong
    • Journal of Advanced Navigation Technology
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    • v.21 no.1
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    • pp.12-20
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    • 2017
  • A maritime DGPS in Korea offers pseudo-range correction information and monitors integrity of correction data by using multiple GNSS receivers. The maritime DGPS reference station and integrity monitor service sets alarm threshold value about integrity monitoring parameters for preventing service interruption status. However there is no way to avoid system interruption according to malfunction of backup systems and outside factors. Therefore, in this paper, warning threshold values were proposed for maritime DGPS operator can be counteract in advance. And Markov analysis method was carried out for selection of these warning threshold values.

A Study on the User-Based Small Fishing Boat Collision Alarm Classification Model Using Semi-supervised Learning (준지도 학습을 활용한 사용자 기반 소형 어선 충돌 경보 분류모델에대한 연구)

  • Ho-June Seok;Seung Sim;Jeong-Hun Woo;Jun-Rae Cho;Jaeyong Jung;DeukJae Cho;Jong-Hwa Baek
    • Journal of Navigation and Port Research
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    • v.47 no.6
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    • pp.358-366
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    • 2023
  • This study aimed to provide a solution for improving ship collision alert of the 'accident vulnerable ship monitoring service' among the 'intelligent marine traffic information system' services of the Ministry of Oceans and Fisheries. The current ship collision alert uses a supervised learning (SL) model with survey labels based on large ship-oriented data and its operators. Consequently, the small ship data and the operator's opinion are not reflected in the current collision-supervised learning model, and the effect is insufficient because the alarm is provided from a longer distance than the small ship operator feels. In addition, the supervised learning (SL) method requires a large number of labeled data, and the labeling process requires a lot of resources and time. To overcome these limitations, in this paper, the classification model of collision alerts for small ships using unlabeled data with the semi-supervised learning (SSL) algorithms (Label Propagation and TabNet) was studied. Results of real-time experiments on small ship operators using the classification model of collision alerts showed that the satisfaction of operators increased.

Impact of Internet Media Reports on the COVID-19 Pandemic in the Population Aged 20-35

  • Stytsyuk, Rita Yurievna;Panova, Alexandra Georgievna;Zenin, Sergey;Kvon, Daniil Andreevich;Gorokhova, Anna Evgenievna;Ulyanishchev, Pavel Viktorovich
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.39-44
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    • 2022
  • The advent, course, and possible consequences of the COVID-19 pandemic are now the focus of global attention. From whichever side the geopolitical centers of influence might view it, the problem of the coronavirus concerns all world leaders and the representatives of all branches of science, especially physicians, economists, and politicians - virtually the entire population of the planet. The uniqueness of the COVID-19 phenomenon lies in the uncertainty of the problem itself, the peculiarities and specifics of the course of the biological processes in modern conditions, as well as the sharp confrontation of the main political players on the world stage. Based on an analysis of scientific research, the article describes the profile of the emotional concept of "anxiety" in Russian linguoculture. Through monitoring the headlines of Russian media reports in the "COVID-19" section of Google News and Mail News news aggregators dated August 4-6, 2021, the study establishes the quantitative and qualitative characteristics of the alarm-generating news products on coronavirus in the Russian segment of the Internet and interprets the specifics of media information about COVID-19. The level of mass media criticism in Russia is determined through a phone survey. It is concluded that coronavirus reports in online media conceptualize anxiety about the SARS virus and the COVID-19 disease as a complex cognitive structure. The media abuse the trick of "magic numbers" and emotionally expressive words in news headlines, which are perceived by mass information consumers first and typically uncritically.