• Title/Summary/Keyword: Early warning

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Application of recursive SSA as data pre-processing filter for stochastic subspace identification

  • Loh, Chin-Hsiung;Liu, Yi-Cheng
    • Smart Structures and Systems
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    • v.11 no.1
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    • pp.19-34
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    • 2013
  • The objective of this paper is to develop on-line system parameter estimation and damage detection technique from the response measurements through using the Recursive Covariance-Driven Stochastic Subspace identification (RSSI-COV) approach. To reduce the effect of noise on the results of identification, discussion on the pre-processing of data using recursive singular spectrum analysis (rSSA) is presented to remove the noise contaminant measurements so as to enhance the stability of data analysis. Through the application of rSSA-SSI-COV to the vibration measurement of bridge during scouring experiment, the ability of the proposed algorithm was proved to be robust to the noise perturbations and offers a very good online tracking capability. The accuracy and robustness offered by rSSA-SSI-COV provides a key to obtain the evidence of imminent bridge settlement and a very stable modal frequency tracking which makes it possible for early warning. The peak values of the identified $1^{st}$ mode shape slope ratio has shown to be a good indicator for damage location, meanwhile, the drastic movements of the peak of $2^{nd}$ mode slope ratio could be used as another feature to indicate imminent pier settlement.

Early Earthquake Warning Service with Wake-up Technology to Prepare Earthquake Disaster (지상파 DMB 망을 이용한 지진재해 자동인지 조기경보 서비스)

  • Kim, Kwang-Yong;Lee, Yong-Hoon;Kim, Gun;Park, So-Ra;Pack, Myung-Sun;Lim, Bo-Mi;Lim, Hyoungsoo;Lee, Yong-Tae
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.11a
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    • pp.92-94
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    • 2013
  • 최근 기상청에서는 대국민 지진조기경보 전달매체를 통하여 지진 관측 후 지진속보 혹은 지진통보 시간을 획기적으로 줄일 수 있는 '국가 지진 조기 경보 체계'를 2020년까지 구축하고자 하는 기본 계획을 수립하였으며, 본 계획의 일환으로 메시지 전달매체 중의 하나로 고려되고 있는 개인용, 이동형인 방송매체인 T-DMB 방송망과의 연계에 대한 연구가 진행되고 있다. 이에 본 논문은 지진 조기 경보 시스템과 지상파 DMB 방송망을 연계하여, 지진 재해와 같은 재난발생시 기존의 단순 속보형태로의 전달이 아니라, 수신기가 자동으로 재난방송 신호를 인지하여 사용자의 시청 유무와 상관없이 지진조기경보 정보를 제공할 수 있는 지진재해 자동인지 조기경보 서비스 기술 및 송수신 시스템을 소개한다.

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Learning algorithm for flame pattern recognition (화재 패턴 인식을 위한 학습 알고리즘)

  • Kang, Suk Won;Lee, Soon Yi;Lee, Tae Ho
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.521-525
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    • 2009
  • In this paper, we introduce fire detection system and software learning algorithm that recognize fire patterns. Flame patterns means that periodical and consistent pattern about general conception of fire, and to process it with the definition. Learning algorithm for flame pattern recognition that we propose is the method which is faster and more exactly than existing algorithm. Also, we trying to elicit the method through experiment result and by applying it, we show the validity of an early fire warning system.

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A novel technology of Establishing Intelligent Power Information System based on Multi-Agent (멀티에이전트 기반의 지능형 전력 정보시스템 구축 기술)

  • Kim, Ji-Young;Kim, Sang-Tae;Yu, Nam-Cheol;Lee, Dong-Cheol
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06d
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    • pp.307-312
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    • 2008
  • 최근 전기 전력 도메인의 IT화 (전력 IT) 가 본격적으로 진행되면서 전기 데이터를 취득하기 위한 기기들 뿐만 아니라 전력 운영 환경이 변화를 도모하고 있다 본 논문에서는 이런 전력 IT 의 일환으로 개발된 지능형 전력 정보 모니터링 시스템 (K-WAMS)을 소개하고자 한다. 이 시스템은 이기종 분산 환경에서 전력 정보를 실시간으로 전송 받아 현재 전력계통의 상황을 직관적으로 판단할 수 있는 정보를 제공하여 광역 정전을 예방하고자 하는 조기경보시스템 (Early Warning System) 이다. 또한, 전력계통의 안정성 여부를 판단하는 지능형 에이전트의 구현을 통해 광역 정전을 예견하는 지수를 제공하고, 실시간 데이터 처리 및 이력 데이터 저장 에이전트들을 통해 현재 취득되고 있는 현장 데이터 모니터링 기능을 제공한다. K-WAMS 는 실시간으로 전송 처리되는 고속 대용량 데이터들의 처리 지연, 동적 환경으로 인한 네트워크의 부하문제를 해결하기 위해서 IPC Shared Memory 기법을 이용하였고, 동적 프로세스들의 작업 스케줄링을 관리하기 위한 IPC Message Queue 기법을 이용하였다. 또한 논리적 기능 기반으로 설계된 현재 중앙 급전소(GCC) 단위의 설계 모델은 향후 지역 급전소(RCC) 단위로 설치 될 경우 재사용 되어 개발 생산성을 향상시킬 것으로 예상된다.

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A case study on the failure diagnosis of plant machinery system by implementing on-line wear monitoring (실시간 마모량 측정을 통한 대형 기계윤활시스템의 파손발생 진단사례)

  • 윤의성;장래혁;공호성;한흥구;권오관;송재수;김재덕;엄형섭
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 1998.04a
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    • pp.321-327
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    • 1998
  • This paper presented a case study on the application of on-line wear monitoring technique to a high duty air-turbo-compressor system. Main objects monitored were a gear unit and metal bearings, both shown frequent troubles due to the severe operation conditions at heavy dynamic load. The air-turbo-compressor system needs secure condition monitoring because it is one of the main utilities in steel making industry. Temperature and vibration characteristics have been mainly on-line monitored in this system for a predictive maintenance; however, it has been shown that they are not fairly good enough to give an early warning prior to the machine failure. In this work, an on-line Opto Magnetic Detector(OMD) was implemented for an on-line wear monitoring, which quantitatively measured the contamination level of both ferrous and non-ferrous wear particles by detecting the change in optical density of used oil. Results showed that the application of on-line OMD system was satisfactory in diagnosis of the machine system.

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On-line Gamma Monitoring System for Environmental Radiation Measurement around KAERI-site (KAERI 부지 주변의 환경선량 측정을 위한 온라인 감마선량 감시시스템)

  • Lee, Chang-Woo;Park, Doo-Won;Lee, Won-Yun;Choi, Yong-Ho;Hong, Kwang-Hee;Kim, Sam-Rang;Lee, Hyun-Duk;Lee, Jeong-Ho
    • Journal of Radiation Protection and Research
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    • v.19 no.2
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    • pp.147-156
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    • 1994
  • On-line gamma monitoring system around KAERI-site was set up to monitor the radiation fluctuations in environment. Data on gamma exposure rates measured by the ionication chamber in the monitoring posts are transmitted to a computer of central control station with. radio telemetry transmission modem and monitored in real time. Radio telemetry transmission system is economical and reliable on handling and storing of data. This monitroing system can triger an early warning system in the event of abnormal radiation levels.

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A Study on Sensor Module and Diagnosis of Automobile Wheel Bearing Failure Prediction (차량용 휠 베어링의 결함 예측을 위한 센서 모듈 및 진단 연구)

  • Hwang, Jae-Yong;Seol, Ye-In
    • Journal of the Korea Convergence Society
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    • v.11 no.11
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    • pp.47-53
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    • 2020
  • There is a need for a system that provides early warning of presence and type of failure of automobile wheel bearings through the application of predictive fault analysis technologies. In this paper, we presented a sensor module mounted on a wheel bearing and a diagnostic system that collects, stores and analyzes vehicle acceleration information and vibration information from the sensor module. The developed sensor module and predictive analysis system was tested and evaluated thorough excitation test equipment and real automotive vehicle to prove the effectiveness.

Occurrence Characteristics of Marine Accidents Caused by Typhoon around Korean Peninsula

  • Yang, Chan-Su;Kim, Yeon-Gyu;Gong, In-Young
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2004.08a
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    • pp.64-73
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    • 2004
  • During the period of every summer to early autumn seasons, ships have been wrecked or grounded from effect of a typhoon in the waters around Korean Peninsular. Typhoon Rusa killed more than 100 people in September 2002. Super Typhoon Maemi passed southeast of South Korea in September 12-13, 2003, with gale winds blowing at a record 60 m/s and caused much ship groundings, collisions and sinkings over 3000 in dockyards, harbors and places of refuge. These are things that could have been prevented had there merely been prior warning. The aim of this study is to examine what effect these typhoons had on occurrence characteristics of the maritime accidents in South Korea. In this work, records of marine accidents caused by a typhoon are investigated for the period from 1962 to 2002. The distribution is also compared with the trajectories of typhoons, passed during the 1990-2003. It is shown that attack frequency of typhoon and number of marine accidents is the highest in August. We use the track data of Maemi such as central pressure, maximum sustained wind speed and area of each 15m/s and 25m/s winds as a case study to draw a map as a risk index.

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Awareness Regarding Risk Factors, Symptoms and Treatment Facilities for Cancer in Selected States of India

  • Raj, Sherin;Piang, Lam Khan;Nair, K.S.;Tiwari, V.K.;Kaur, Harneet;Singh, Bacchu
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.8
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    • pp.4057-4062
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    • 2012
  • Objective: To study the level of awareness and knowledge about cancers and associated risk factors among households in selected states of India. Methods: In the study 3070 households were interviewed from six states viz, West Bengal, Kerala, Madhya Pradesh, Rajasthan and Mizoram. Results: Knowledge of cancers other than those related to tobacco was very low (prostate 8%, colon 11% ) among the communities, with a poor awareness of warning signs and symptoms. The knowledge varied from state to state. It is found that the major source of information related to cancers was television (38%) followed by friends and relatives (36%). Only about 15 % of respondents had knowledge about cancer awareness camps organized in their districts but they did not have knowledge about the organizers of the camp. Findings suggested a strong need for strengthening of DCCP. Conclusion: It is important to create awareness among community through educational programs on cancer prevention, preventable cancer risk factors, benefits of early diagnosis, and availability of screening facilities. Integration of District Cancer Control activities with NRHM could be the most cost-effective strategy to prevent cancers and rural population.

A Multi-Priority Service Differentiated and Adaptive Backoff Mechanism over IEEE 802.11 DCF for Wireless Mobile Networks

  • Zheng, Bo;Zhang, Hengyang;Zhuo, Kun;Wu, Huaxin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.7
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    • pp.3446-3464
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    • 2017
  • Backoff mechanism serves as one of the key technologies in the MAC-layer of wireless mobile networks. The traditional Binary Exponential Backoff (BEB) mechanism in IEEE 802.11 Distributed Coordination Function (DCF) and other existing backoff mechanisms poses several performance issues. For instance, the Contention Window (CW) oscillations occur frequently; a low delay QoS guarantee cannot be provided for real-time transmission, and services with different priorities are not differentiated. For these problems, we present a novel Multi-Priority service differentiated and Adaptive Backoff (MPAB) algorithm over IEEE 802.11 DCF for wireless mobile networks in this paper. In this algorithm, the backoff stage is chosen adaptively according to the channel status and traffic priority, and the forwarding and receding transition probability between the adjacent backoff stages for different priority traffic can be controlled and adjusted for demands at any time. We further employ the 2-dimensional Markov chain model to analyze the algorithm, and derive the analytical expressions of the saturation throughput and average medium access delay. Both the accuracy of the expressions and the algorithm performance are verified through simulations. The results show that the performance of the MPAB algorithm can offer a higher throughput and lower delay than the BEB algorithm.