• Title/Summary/Keyword: Alerts

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Buffer Management Method for Multiple Projects in the CCPM-MPL Representation

  • Nguyen, Thi Ngoc Truc;Takei, Yoshinori;Goto, Hiroyuki;Takahashi, Hirotaka
    • Industrial Engineering and Management Systems
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    • v.11 no.4
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    • pp.397-405
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    • 2012
  • This research proposes a framework of buffer management for multi-project systems in the critical chain project management (CCPM) method, expressed in the form of max-plus linear (MPL) representation. Since time buffers are inserted in the projects for absorbing uncertainties in task durations and protecting the completion times, the proposed method provides a procedure for frequently surveying the rates of consumed buffers and the rate of elapsed times. Their relation expresses the performance of the projects which is plotted on a chart through the completed processes. The chart presents the current performance of the projects and their interaction, which alerts managers to make necessary decisions at the right time for managing each project and the entire multi-project system. The proposed framework can analyze the complex system readily, and it enables managers to make an effective decision on scheduling. The effectiveness of the framework is demonstrated through a numerical example.

Deficiencies of the GMDSS Distress Communication System and Methods to Improve (GMDSS 조난통신 제도의 문제점과 개선 방안)

  • Kim, Byung-Ok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.213-216
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    • 2005
  • The distress communication system in the maritime mobile service had almost depended on the wireless telephony or telegraphy technique. The GMDSS (Global Maritime Distress and Safety System) which was introduced in 1992 brought a lot of changes in the maritime distress communication service such as the automatic transmission of distress signals and implementation of global search and rescue networks. However, there are some deficiencies in the GMDSS distress communication system such as a lack of compatibility in the maritime distress communication between GMDSS ships and Non-GMDSS ships, increasing deceptive or false distress alerts generated by GMDSS installations, lack of understanding about the GMDSS installations for the operators. In this paper, the problems of distress communication system in the maritime mobile service are analyzed and the methods to solve or minimize these problems are suggested.

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Implementation of the VHF EPIRB using the technique of Digital Selective Calling (디지털 선택호출 기술을 이용한 VHF EPIRB의 구현)

  • 유형열;이헌택;황운택;김기문
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.2 no.2
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    • pp.259-266
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    • 1998
  • 406MHz and INMARSAT-E EPIRB facility transmits the distress alerts by the relay of the polar-satellites and INTELSAT, but may cause the probability of delayed transmission because of the orbital period and not compliance with the implementation of GMDSS rules for small ships in A1 area.. Digital Selective Calling forms a critical part of the terrestrial elements of the GMDSS system and ensures the reliability and the efficiency in the system. In this paper, we suggests that new DSC EPIRB in the VHF band to overcome this defect for small ships in A1 area, and analyze the ITU-R recommendations and technical characteristics, design and implement the algorithm of calling sequences, frequency synthesizer for the RF signal and FSK moulation signals.

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Environmental Planning Contermeasures Considering Spatial Distribution and Potential Factors of Particulate Matters Concentration (미세먼지 농도의 공간적 현황 및 잠재영향인자를 고려한 환경계획적 대응 방향)

  • Sung, Sun-Yong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.23 no.1
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    • pp.89-96
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    • 2020
  • Adverse impact of Particulate Matters(PM10, PM2.5; PMs) significantly affects daily lives. Major countermeasures for reducing concentration of PMs were focused on emission source without considering spatial difference of PMs concentration. Thus, this study analyzed spatial·temporal distribution of PMs with observation data as well as potential contributing factors on PMs concentration. The annual average concentration of PMs have been decreased while the particulate matter warnings and alerts were significantly increased in 2018. The average concentration of PMs in spring and winter was higher than the other seasons. Also, the spatial distribution of PMs were also showed seasonality while concentration of PMs were higher in Seoul-metropolitan areas in all seasons. Climate variables, emission source, spatial structure and potential PM sinks were selected major factors which could affects on ambient concentrations of PMs. This paper suggest that countermeasures for mitigating PM concentration should consider characteristics of area. Climatic variables(temperature, pressure, wind speed etc.) affects concentrations of PMs. The effects of spatial structure of cities(terrain, ventilation corridor) and biological sinks(green infrastructure, urban forests) on concentration of PMs should be analyzed in further studies. Also, seasonality of PMs concentration should be considered for establishing effective countermeasures to reduce ambient PMs concentration.

Design of a Rule-Based Correlation Analyzer through Reducing Intrusion Alerts (침입경보 축약을 통한 규칙기반 연관관계 분석기 설계)

  • Lee, Seong-Ho;Kim, Min-Soo;Noh, Bong-Nam;Seo, Jung-Taek;Choi, Dae-Sik;Park, Eung-Gi
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.1091-1094
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    • 2004
  • 전통적인 호스트 기반 침입탐지시스템과 네트워크 기반 침입탐지시스템은 각각 로그 데이터나 패킷 정보에서 단일 공격을 탐지하고 침입경보를 생성한다. 그러므로, 기존의 침입탐지시스템들은 침입경보간의 상호 연관성에 대한 정보가 부족하게 되고, 다수의 거짓 침입경보를 발생시킨다. 이를 해결하기 위해, 본 논문에서는 추론 규칙을 이용하는 침입경보 연관관계 시스템을 제안한다. 제안한 시스템은 침입경보 수집기, 침입경보 전처리기, 침입경보 연관관계 분석기로 구성되어 있다. 침입경보 수집기는 각 침입탐지시스템으로부터 필터링 과정을 거쳐 전송된 침입경보를 받아 침입경보 데이터베이스에 저장한다. 침입경보 전처리기는 불필요한 침입경보를 줄임으로써 침입경보 연관관계 분석의 효율성을 높인다. 마지막으로, 침입경보 연관관계 분석기는 추론 규칙을 이용하여 침입경보간의 상호연관성을 파악한다.

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Future Directions of Pharmacovigilance Studies Using Electronic Medical Recording and Human Genetic Databases

  • Choi, Young Hee;Han, Chang Yeob;Kim, Kwi Suk;Kim, Sang Geon
    • Toxicological Research
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    • v.35 no.4
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    • pp.319-330
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    • 2019
  • Adverse drug reactions (ADRs) constitute key factors in determining successful medication therapy in clinical situations. Integrative analysis of electronic medical record (EMR) data and use of proper analytical tools are requisite to conduct retrospective surveillance of clinical decisions on medications. Thus, we suggest that electronic medical recording and human genetic databases are considered together in future directions of pharmacovigilance. We analyzed EMR-based ADR studies indexed on PubMed during the period from 2005 to 2017 and retrospectively acquired 1161 (29.6%) articles describing drug-induced adverse reactions (e.g., liver, kidney, nervous system, immune system, and inflammatory responses). Of them, only 102 (8.79%) articles contained useful information to detect or predict ADRs in the context of clinical medication alerts. Since insufficiency of EMR datasets and their improper analyses may provide false warnings on clinical decision, efforts should be made to overcome possible problems on data-mining, analysis, statistics, and standardization. Thus, we address the characteristics and limitations on retrospective EMR database studies in hospital settings. Since gene expression and genetic variations among individuals impact ADRs, pharmacokinetics, and pharmacodynamics, appropriate paths for pharmacovigilance may be optimized using suitable databases available in public domain (e.g., genome-wide association studies (GWAS), non-coding RNAs, microRNAs, proteomics, and genetic variations), novel targets, and biomarkers. These efforts with new validated biomarker analyses would be of help to repurpose clinical and translational research infrastructure and ultimately future personalized therapy considering ADRs.

NoSQL-based Sensor Web System for Fine Particles Analysis Services (미세먼지 분석 서비스를 위한 NoSQL 기반 센서 웹 시스템)

  • Kim, Jeong-Joon;Kwak, Kwang-Jin;Park, Jeong-Min
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.2
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    • pp.119-125
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    • 2019
  • Recently, it has become a social problem due to fine particles. There are more people wearing masks, weather alerts and disaster notices. Research and policy are actively underway. Meteorologically, the biggest damage caused by fine particles is the inversion layer phenomenon. In this study, we designed a system to warn fine Particles by analyzing inversion layer and wind direction. This weather information system proposes a system that can efficiently perform scalability and parallel processing by using OGC sensor web enablement system and NoSQL storage for sensor control and data exchange.

The Impact of Air Quality on Traveling Time by Transportation Mode (대기오염 수준이 교통수단별 통행시간에 미치는 영향 분석)

  • Jo, Eunjung;Kim, Hyunchul
    • Environmental and Resource Economics Review
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    • v.30 no.2
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    • pp.207-235
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    • 2021
  • This paper examines the effects of ambient air pollution by ozone and particulate matter on traveling by mode of transport. We estimate the SUR model of travel time by different modes of transportation using individual level data of travel diaries. We find that, as air pollution levels rises, traveling by privately-owned vehicles increases but traveling by bus decreases. Our results also show that, when an air quality alert is issued, bus traveling increases in an effort to reduce pollution levels, but traveling by own car does not change and traveling by train declines. This suggests that alert programs may not be highly effective in reducing air pollution emissions from vehicles because voluntary switching to public transportation induced by air quality alerts is outweighed by individual effort of avoiding exposure to pollution.

The Role of Information and Communication Technology to Combat COVID-19 Pandemic: Emerging Technologies, Recent Developments and Open Challenges

  • Arshad, Muhammad
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.93-102
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    • 2021
  • The world is facing an unprecedented economic, social and political crisis with the spread of COVID-19. The Corona Virus (COVID-19) and its global spread have resulted in declaring a pandemic by the World Health Organization. The deadly pandemic of 21st century has spread its wings across the globe with an exponential increase in the number of cases in many countries. The developing and underdeveloped countries are struggling hard to counter the rapidly growing and widespread challenge of COVID-19 because it has greatly influenced the global economies whereby the underdeveloped countries are more affected by its devastating impacts, especially the life of the low-income population. Information and Communication Technology (ICT) were particularly useful in spreading key emergency information and helping to maintain extensive social distancing. Updated information and testing results were published on national and local government websites. Mobile devices were used to support early testing and contact tracing. The government provided free smartphone apps that flagged infection hotspots with text alerts on testing and local cases. The purpose of this research work is to provide an in depth overview of emerging technologies and recent ICT developments to combat COVID-19 Pandemic. Finally, the author highlights open challenges in order to give future research directions.

A Study on the Detection of Fault Factor in Gear-Integrated Bearing (기어일체형 베어링의 결함인자 검출에 대한 연구)

  • Yeongsik Kang;Ina Yang;Eunjun Lee;Hwajong Jin;Donghyouk Shim
    • Journal of the Korea Institute of Military Science and Technology
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    • v.26 no.2
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    • pp.113-121
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    • 2023
  • High-precision lasers and anti-aircraft radars are the main equipment to protect the Korean Peninsula, and require preemptive maintenance before signs of failure. Of the key components in the drive sector, bearings do not have a fault alarm function. Therefore, the technology for diagnosing defects in bearings before the performance degradation of equipment occurs is becoming more important. In this paper, for the experimental analysis, we measured the acceleration of the four sets of the same lot using acceleration sensors. Through periodic measurements, the factors that changed until the bearing stopped rotating were analyzed. To determine the replacement time, the main factors and threshold values of the bearing signal were analyzed. The error of the theoretical and experimental analysis results of the defect frequency was within 2.8 %, and the validity of the theoretical analysis results could be confirmed. Based on the results, it is possible to remotely transmit trouble alerts to users through the system check function.