• 제목/요약/키워드: individual health monitoring

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Optimal Monitoring Intervals and MDA Requirements for Routine Individual Monitoring of Occupational Intakes Based on the ICRP OIR

  • Ha, Wi-Ho;Kwon, Tae-Eun;Jin, Young Woo
    • Journal of Radiation Protection and Research
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    • 제45권2호
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    • pp.88-94
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    • 2020
  • Background: The International Commission on Radiological Protection (ICRP) has recently published report series on the occupational intakes of radionuclides (OIR) for internal dosimetry of radiation workers. In this study, the optimized monitoring program including the monitoring interval and the minimum detectable activity (MDA) of major radionuclides was suggested to perform the routine individual monitoring of internal exposure based on the ICRP OIR. Materials and Methods: The derived recording levels and the critical monitoring quantities were reviewed from international standards or guidelines by the International Atomic Energy Agency (IAEA), the International Organization for Standardization (ISO), and the European Radiation Dosimetry Group (EURADOS). The OIR data viewer provided by ICRP was used to evaluate the monitoring intervals and the MDA, which are derived from the reference bioassay functions and the dose coefficients. Results and Discussion: The optimal monitoring intervals were determined taking account of two requirement conditions on the potential intake underestimation and the MDA values. The MDA requirement values of the selected radionuclides were calculated based on the committed effective dose from 0.1 mSv to 5 mSv. The optimized routine individual monitoring program was suggested including the optimal monitoring intervals and the MDA requirements. The optimal MDA values were evaluated based on the committed effective dose of 0.1 mSv. However, the MDA can be adjusted considering the practical operation of the routine individual monitoring program in the nuclear facilities. Conclusion: The monitoring intervals and the MDA as crucial factors for the routine monitoring were described to suggest the optimized routine individual monitoring program of the occupational intakes. Further study on the alpha/beta-emitting radionuclides as well as short lived gamma-emitting nuclides will be necessary in the future.

u-Healthcare를 위한 건강모니터링 시스템에 관한 연구 (A Study of the Health Monitoring System for u-Healthcare)

  • 오지수;이명화;임명재;이기영
    • 한국인터넷방송통신학회논문지
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    • 제9권4호
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    • pp.9-15
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    • 2009
  • 최근에 노령화에 따른 질병의 증가와 핵가족화에 따른 사생활에 대한 보호욕구가 증가하면서 최근 u-Healthcare에 대한 관심이 높아지고 있다. 지금까지 우리는 개별 의료기관의 오프라인의 건강관리로 추후 진단, 치료가 이루어지는 시공간 제한적 의료서비스를 받아왔다. 앞으로는 모바일 의료단말기기를 통하여 자신의 건강관리를 실시간 온라인으로 개인성, 이동성, 실시간성, 맞춤형 의료서비스를 받을 수 있게 될 것이다. 그러므로, 본 본문에서는 PDA를 기반으로 노약자 및 환자를 신체 신호 측정기를 통해 건강상태를 체크한 뒤 병원 환자관리 시스템에 통보하여 위급 상황 발생이 발생하면 응급 처치를 하도록 하거나 측정 결과에 대한 진단 및 관련 정보를 제공하는 건강관리 모니터링 시스템을 설계하고 구현하였다.

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Monitoring and performance assessment of a highway bridge via operational modal analysis

  • Reza Akbari;Saeed Maadani;Shahrokh Maalek
    • Structural Monitoring and Maintenance
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    • 제10권3호
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    • pp.191-205
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    • 2023
  • In this paper, through operational modal analysis and ambient vibration tests, the dynamic characteristics of a multi-span simply-supported reinforced concrete highway bridge deck was determined and the results were used to assess the quality of construction of the individual spans. Supporting finite element (FE) models were created and analyzed according to the design drawings. After carrying out the dynamic tests and extracting the modal properties of the deck, the quality of construction was relatively assessed by comparing the results obtained from all the tests from the individual spans and the FE results. A comparison of the test results among the different spans showed a maximum difference value of around 9.3 percent between the superstructure's natural frequencies. These minor differences besides the obtained values of modal damping ratios, in which the differences were not more than 5 percent, can be resulted from suitable performance, health, and acceptable construction quality of the bridge.

방사선피폭관리시스템를 위한 D-Shuttle 선량계의 방사선 선량측정 (Radiation Dose Measurement of D-Shuttle Dosimeter for Radiation Exposure Management System)

  • 권대철
    • 한국방사선학회논문지
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    • 제11권5호
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    • pp.321-328
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    • 2017
  • D-Shuttle (Chiyoda Technol Corporation, Tokyo, Japan) 선량계를 이용하여 개인피폭관리 및 자연방사선량의 모니터링을 위한 기초자료를 제공하는데 연구의 목적이 있다. D-Shuttle을 이용하여 선량을 산출하였다. 선량보고서에서 400 일 노출되었을 때에 1.346 mSv 이었고, 연간선량 (annual dose per year)은 1.228 mSv/year, 평균시간선량 (average dose per hour)은 $0.014{\mu}Sv/hr$ 이었다. 국내의 개인 외부피폭선량 (1.295 mSv/year =Korea average natural individual external dose), 국내의 연간부가선량 (additional dose per year)은 -0.0663 mSv/year 이다. D-Shuttle은 방사선모니터링을 위한 개인선량계로 방사선의 검출성능 우수한 기능, 실시간 방사선 피폭관리, 방사선 작업의 경보 기능, 효율적이고 사용이 편리한 개인 방사선선량의 피폭관리로 ALARA에 매우 유용한 선량계로 사용할 수 있다. 방사선작업종사자와 지역주민의 방사선모니터링 측정기기로 병원, 산업, 의료현장, 원전사고 지역과 비파괴 분야의 위험한 지역에서 방사선모니터링으로 활용될 수 있다.

Application of numerical simulation of submersed rock-berm structure under anchor collision for structural health monitoring of submarine power cables

  • Woo, Jinho;Kim, Dongha;Na, Won-Bae
    • Smart Structures and Systems
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    • 제15권2호
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    • pp.299-314
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    • 2015
  • Submersed rock-berm structures are frequently used for protection of underwater lifelines such as pipelines and power cables. During the service life, the rock-berm structure can experience several accidental loads such as anchor collision. The consequences can be severe with a certain level of frequency; hence, the structural responses should be carefully understood for implementing a proper structural health monitoring method. However, no study has been made to quantify the structural responses because it is hard to deal with the individual behavior of each rock. Therefore, this study presents a collision analysis of the submersed rock-berm structure using a finite element software package by facilitating the smoothed-particle hydrodynamics (SPH) method. The analysis results were compared with those obtained from the Lagrange method. Moreover, two types of anchors (stock anchor and stockless anchor), three collision points and two different drop velocities (terminal velocity of each anchor and 5 m/s) were selected to investigate the changes in the responses. Finally, the effect of these parameters (analysis method, anchor type, collision point and drop velocity) on the analysis results was studied. Accordingly, the effectiveness of the SPH method is verified, a safe rock-berm height (over 1 m) is proposed, and a gauge point (0.5 m above the seabed) is suggested for a structural health monitoring implementation.

Three-dimensional structural health monitoring based on multiscale cross-sample entropy

  • Lin, Tzu Kang;Tseng, Tzu Chi;Lainez, Ana G.
    • Earthquakes and Structures
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    • 제12권6호
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    • pp.673-687
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    • 2017
  • A three-dimensional; structural health monitoring; vertical; planar; cross-sample entropy; multiscaleA three-dimensional structural health monitoring (SHM) system based on multiscale entropy (MSE) and multiscale cross-sample entropy (MSCE) is proposed in this paper. The damage condition of a structure is rapidly screened through MSE analysis by measuring the ambient vibration signal on the roof of the structure. Subsequently, the vertical damage location is evaluated by analyzing individual signals on different floors through vertical MSCE analysis. The results are quantified using the vertical damage index (DI). Planar MSCE analysis is applied to detect the damage orientation of damaged floors by analyzing the biaxial signals in four directions on each damaged floor. The results are physically quantified using the planar DI. With progressive vertical and planar analysis methods, the damaged floors and damage locations can be accurately and efficiently diagnosed. To demonstrate the performance of the proposed system, performance evaluation was conducted on a three-dimensional seven-story steel structure. According to the results, the damage condition and elevation were reliably detected. Moreover, the damage location was efficiently quantified by the DI. Average accuracy rates of 93% (vertical) and 91% (planar) were achieved through the proposed DI method. A reference measurement of the current stage can initially launch the SHM system; therefore, structural damage can be reliably detected after major earthquakes.

PM10 장기노출 예측모형 개발을 위한 국가 대기오염측정자료의 탐색과 활용 (Exploration and Application of Regulatory PM10 Measurement Data for Developing Long-term Prediction Models in South Korea)

  • 이선주;김호;김선영
    • 한국대기환경학회지
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    • 제32권1호
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    • pp.114-126
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    • 2016
  • Many cohort studies have reported associations of individual-level long-term exposures to $PM_{10}$ and health outcomes. Individual exposures were often estimated by using exposure prediction models relying on $PM_{10}$ data measured at national regulatory monitoring sites. This study explored spatial and temporal characteristics of regulatory $PM_{10}$ measurement data in South Korea and suggested $PM_{10}$ concentration metrics as long-term exposures for assessing health effects in cohort studies. We obtained hourly $PM_{10}$ data from the National Institute of Environmental Research for 2001~2012 in South Korea. We investigated spatial distribution of monitoring sites using the density and proximity in each of the 16 metropolitan cities and provinces. The temporal characteristics of $PM_{10}$ measurement data were examined by annual/seasonal/diurnal patterns across urban background monitoring sites after excluding Asian dust days. For spatial characteristics of $PM_{10}$ measurement data, we computed coefficient of variation (CV) and coefficient of divergence (COD). Based on temporal and spatial investigation, we suggested preferred long-term metrics for cohort studies. In 2010, 294 urban background monitoring sites were located in South Korea with a site over an area of $415.0km^2$ and distant from another site by 31.0 km on average. Annual average $PM_{10}$ concentrations decreased by 19.8% from 2001 to 2012, and seasonal $PM_{10}$ patterns were consistent over study years with higher concentrations in spring and winter. Spatial variability was relatively small with 6~19% of CV and 21~46% of COD across 16 metropolitan cities and provinces in 2010. To maximize spatial coverage and reflect temporal and spatial distributions, our suggestion for $PM_{10}$ metrics representing long-term exposures was the average for one or multiple years after 2009. This study provides the knowledge of all available $PM_{10}$ data measured at national regulatory monitoring sites in South Korea and the insight of the plausible longterm exposure metric for cohort studies.

Genetic and Epigenetic Biomarkers on the Personalized Nutrition

  • An Sung-Whan
    • 한국식품영양과학회:학술대회논문집
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    • 한국식품영양과학회 2004년도 Annual Meeting and International Symposium
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    • pp.271-274
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    • 2004
  • Nutritional genomics is a new field of study of how nutrition interacts with an individual's genome or individual responds to individual diets. Systematic approach of nutritional genomics will likely provide important clues about responders and non-responders. The current interest in personalizing health stems from the breakthroughs emerging in integrative technologies of genomics and epigenomics and the identification of genetic and epigentic diversity in individual's genetic make-up that are associated with variations in many aspects of health, including diet-related diseases. Microarray is a powerful screen system that is being also currently employed in nutritional research. Monitoring of gene expression at genome level is now possible with this technology, which allows the simultaneous assessment of the transcription of tens of thousands of genes and of their relative expression of pathological cells such tumor cells compared with that of normal cells. Epigenetic events such as DNA methylation can result in change of gene expression without involving changes in gene sequence. Recent developed technology of DNAarray-based methylation assay will facilitate wide study of epigenetic process in nutrigenomics. Some of the areas that would benefitfrom these technologies include identifying molecular targets (Biomarkers) for the risk and benefit assessment. These characterized biomarkers can reflect expose, response, and susceptibility to foods and their components. Furthermore the identified new biomarker perhaps can be utilized as a indicator of delivery system fur optimizing health.

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The Factors Affecting Unsafe Behaviors of Iranian Workers: A Qualitative Study Based on Grounded Theory

  • Malakoutikhah, Mahdi;Jahangiri, Mehdi;Alimohammadlou, Moslem;Faghihi, Seyed Aliakbar;Kamalinia, Mojtaba
    • Safety and Health at Work
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    • 제12권3호
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    • pp.339-345
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    • 2021
  • Background: Some researchers state that they are not yet able to provide a deep understanding of the underlying causes of unsafe behaviors (UBs). Therefore, the present study was conducted to investigate the attitudes and experiences of Iranian workers of UBs. Methods: This present study was conducted in 35 industries using a semistructured interview based on grounded theory. Forty participants were interviewed, including 13 industrial safety and health experts and 27 workers and supervisors. The analysis of the present study consisted of a three-step coding process including open, axial, and selective coding. Results: The results showed that the factors affecting UBs could be classified into three categories: organizational, individual, and socioeconomic factors. Organizational factors were divided into 6 parts: procedure and environmental conditions, communications, monitoring, organizational safety culture, resource allocation, and human resources. Socioeconomic factors had three subcategories: community safety culture, type of organizational ownership, and economic problems. Finally, the individual factors were classified into two categories of personality traits and individual competence. Conclusion: The results showed that organizational factors were the most categorized, and it is estimated that this factor has a more important role in the UBs. Of course, to better understand the close relationship between these factors and find the weight and importance of each factor, it needs to measure it with multicriteria decision systems.

Computation of geographic variables for air pollution prediction models in South Korea

  • Eum, Youngseob;Song, Insang;Kim, Hwan-Cheol;Leem, Jong-Han;Kim, Sun-Young
    • Environmental Analysis Health and Toxicology
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    • 제30권
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    • pp.10.1-10.14
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    • 2015
  • Recent cohort studies have relied on exposure prediction models to estimate individual-level air pollution concentrations because individual air pollution measurements are not available for cohort locations. For such prediction models, geographic variables related to pollution sources are important inputs. We demonstrated the computation process of geographic variables mostly recorded in 2010 at regulatory air pollution monitoring sites in South Korea. On the basis of previous studies, we finalized a list of 313 geographic variables related to air pollution sources in eight categories including traffic, demographic characteristics, land use, transportation facilities, physical geography, emissions, vegetation, and altitude. We then obtained data from different sources such as the Statistics Geographic Information Service and Korean Transport Database. After integrating all available data to a single database by matching coordinate systems and converting non-spatial data to spatial data, we computed geographic variables at 294 regulatory monitoring sites in South Korea. The data integration and variable computation were performed by using ArcGIS version 10.2 (ESRI Inc., Redlands, CA, USA). For traffic, we computed the distances to the nearest roads and the sums of road lengths within different sizes of circular buffers. In addition, we calculated the numbers of residents, households, housing buildings, companies, and employees within the buffers. The percentages of areas for different types of land use compared to total areas were calculated within the buffers. For transportation facilities and physical geography, we computed the distances to the closest public transportation depots and the boundary lines. The vegetation index and altitude were estimated at a given location by using satellite data. The summary statistics of geographic variables in Seoul across monitoring sites showed different patterns between urban background and urban roadside sites. This study provided practical knowledge on the computation process of geographic variables in South Korea, which will improve air pollution prediction models and contribute to subsequent health analyses.