• Title/Summary/Keyword: daily monitoring

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자연전위의 효율적 측정을 위한 전극의 잡음요소 분석

  • Song, Seong-Ho;Gwon, Byeong-Du
    • Journal of the Korean Geophysical Society
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    • v.5 no.1
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    • pp.9-18
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    • 2002
  • We performed a long-term monitoring of self-potential(SP) using the Cu-CuSO₄non-polarizable electrode and copper-clad electrodes(CCE) in a test site in order to analyze the effects of surrounding environmental noises such as temperature, rainfall and soil moisture content on the electrodes. Analysis of the temperature dependence of the non-polarizable electrodes showed that is temperature coefficient was about +0.5 mV/°Fwhen its end was exposed to atmosphere while it was less than +0.5 mV/℃ when submerged into the subsurface, which reflects that there exists an 8 to 11 hour lag between temperatures at the depth of 15 cm and atmosphere. CCE was independent of atmospheric temperature in subsurface but showed temperature coefficient of 1.0 mV/℃ when exposed to atmosphere. Drifts of 1 to 2 mV recorded with the non-polarizable electrode directly related to the soil moisture content when it was buried in subsurface. Drift with CCE also showed similar trend to the soil moisture content, and 5 mV drift was recorded according to 5% of daily variation. The soil moisture content had strong effects on the measurement with CCE in rainfall since the flow potential is generated on the surface of the electrode.

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Analysis of the Cloud Removal Effect of Sentinel-2A/B NDVI Monthly Composite Images for Rice Paddy and High-altitude Cabbage Fields (논과 고랭지 배추밭 대상 Sentinel-2A/B 정규식생지수 월 합성영상의 구름 제거 효과 분석)

  • Eun, Jeong;Kim, Sun-Hwa;Kim, Taeho
    • Korean Journal of Remote Sensing
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    • v.37 no.6_1
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    • pp.1545-1557
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    • 2021
  • Crops show sensitive spectral characteristics according to their species and growth conditions and although frequent observation is required especially in summer, it is difficult to utilize optical satellite images due to the rainy season. To solve this problem, Constrained Cloud-Maximum Normalized difference vegetation index Composite (CC-MNC) algorithm was developed to generate periodic composite images with minimal cloud effect. In thisstudy, using this method, monthly Sentinel-2A/B Normalized Difference Vegetation Index (NDVI) composite images were produced for paddies and high-latitude cabbage fields from 2019 to 2021. In August 2020, which received 200mm more precipitation than other periods, the effect of clouds, was also significant in MODIS NDVI 16-day composite product. Except for this period, the CC-MNC method was able to reduce the cloud ratio of 45.4% of the original daily image to 14.9%. In the case of rice paddy, there was no significant difference between Sentinel-2A/B and MODIS NDVI values. In addition, it was possible to monitor the rice growth cycle well even with a revisit cycle 5 days. In the case of high-latitude cabbage fields, Sentinel-2A/B showed the short growth cycle of cabbage well, but MODIS showed limitations in spatial resolution. In addition, the CC-MNC method showed that cloud pixels were used for compositing at the harvest time, suggesting that the View Zenith Angle (VZA) threshold needsto be adjusted according to the domestic region.

An Epidemiological Analysis of 28 Vivax Malaria Cases in Gimpo-si, Korea, 2020

  • Bahk, Young Yil;Cho, Shin-Hyeong;Kim, Kyoung-Nam;Shin, Eun-Hee;Jeon, Byoung-Hak;Kim, Jeong-Hyun;Park, Sookkyung;Kwon, Jeongran;Kan, Hyesu;Kim, Miyoung;Kim, Tong-Soo
    • Parasites, Hosts and Diseases
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    • v.59 no.5
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    • pp.507-512
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    • 2021
  • Since 1993, vivax malaria has been recognized as a public health burden in Korea. Despite of pan-governmental malaria-control efforts and the dramatic reduction in the burden of this disease over the last 10 years, vivax malaria has not been well controlled and has remained continuously endemic. We focused interviewed and examined the charts of 28 confirmed vivax malaria patients given malarial therapy for whom daily records were kept from Gimpo-si, Gyeonggi-do of Korea. Various epidemiological characteristics of vivax malaria, including the incubation period, medication used, and recurrence, and an evaluation of the parasitic characteristics from the focused interviews of patients from this region are described here. Most of the participants indicated the 3 most common symptoms of malaria (headache, chills and fever). Of the 28 cases, 2 experienced a second attack and there were 17 and 11 cases with short- and long-term incubation periods, respectively, yielding a short-term to long-term ratio of 1.5. Based on the parasitemia stages, most of the participants were tested at 5 to 7 days (11 cases) and 7 to 15 days (11 cases) after initial wave of asexual parasites. In conclusion, public health authorities should consider developing management measures to decrease the time lag for diagnosis and drafting unified and robust guidelines for drug use for malaria and drawing up unified and robust guidelines on the use of medication for malaria. It also suggests that routine monitoring, surveillance, and precise medical surveys in high-risk vivax malaria endemic areas are pivotal to controlling this persistent public disease and finally eliminating it from Korea.

Changes in Air Temperature and Surface Temperature of Crop Leaf and Soil (기온과 작물 잎 및 토양 표면온도의 변화양상 분석)

  • Lee, Byung-Kook;Jung, Pil-Kyun;Lee, Woo-Kyun;Lim, Chul-Hee;Eom, Ki-Cheol
    • Journal of Climate Change Research
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    • v.6 no.3
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    • pp.209-221
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    • 2015
  • Temperature is one of the most important factors affecting crop growth. The diurnal cycle of the scale factor [Tsc] for air temperature and the surface temperature of crop leaf and soil could be estimated by the following equation : $[Tsc]=0.5{\times}sin(X+C)+0.5$. The daily air temperature (E[Ti]) according to the E&E time [X] can be estimated by following equation using average (Tavg), maximum (Tm) and minimum (Tn) temperature : $E[Ti]=Tn+(Tm-Tn){\times}[0.5{\times}sin\;\{X+(9.646Tavg+703.65)\}+0.5]$. The crop leaf temperature in 24th June 2014 was high as the order of red pepper without mulching > red pepper with mulching > soybean under drought > soybean with irrigation > Chinese cabbage. The case in estimating crop leaf surface temperature using air temperature and soil surface temperature was lower in the deviation compared to the case using air temperature for Chinese cabbage and red pepper. These results can be utilized for the crop models as input data with estimation.

Study on Design of Advanced Smart Postural Change Device for Supine Posture Control (와상체위제어를 위한 스마트 고기능 자세변환기의 설계에 관한 연구)

  • Park, Seung Hwan;Jung, Jin Taek;Sim, Woo Jung;Kim, Yung Sear
    • 재활복지
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    • v.18 no.4
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    • pp.221-235
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    • 2014
  • Recently, the frequency of stroke disease is increased due to the rapid aging population, and is contributed to the major occurrence factors of the posteriori acquired disability. This study is about an postural change device for the control of supine posture which is an assisted equipment using in daily rehabilitation process for overcoming the disability by the aftereffects of the stoke disease. In this paper, the existing domestic and Japan postural appliances is examined and its comparison and categorization is performed according to its functions and purposes. Here, in order to control the supine posture state, the design method for advanced multi functional system is proposed, which is devised to have an unified mattress control operations of combining the bedsore prevention tube with the supine posture tilting tube. And also, in addition of an smart function, it is designed to enable to perform an RF functions such as the monitoring of the present device state, the alteration of the basic position and the control of alternative floating and supine posture. This system control hardware consists of three main parts : the sensor detection part, the motor driving /control part, and the system control part for bluetooth communication. In results, we confirmed that the system designed by this research is possible to make it practical as an advanced smart postural change device combined by IoT technology in the application field of the recent IT technology.

Association between Air Pollutant Levels and Medical Usage Rates of Environmental Disease in a General Residential Area (대기오염물질과 환경성 질환 관련 의료이용률과의 연관성 - 일반거주지역을 대상으로 -)

  • Park, Dong Yun;Lee, Chae Kwan
    • Journal of Environmental Health Sciences
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    • v.47 no.3
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    • pp.279-291
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    • 2021
  • Objectives: This study investigated the association between air pollutant levels and medical usage rates for environmental disease in a general residential area during the period 2015-2017. Methods: Air pollutant (PM10, PM2.5, SO2, NO2, CO, O3) data were collected from Air-Korea. Medical usage data on environmental disease (asthma, allergic rhinitis, atopic dermatitis) for the period 2015-2017 in a general residential area in Gyeongsangnam-do Province were provided by the National Health Insurance Corporation. Pearson correlation analysis and multiple regression analysis were conducted to investigate the association between air pollutant levels and medical usage rates (SAS 9.4). In the multiple regression analysis, environmental disease was set as the dependent variable and air pollutants were set as independent variables and analyzed using the General Linear Model. Results: Except for PM2.5, the average concentration of air pollutants in the surveyed area was below than the air environment standards of Korea. NO2 was higher than Korea's national average, but CO was similar. The others were lower than the Korea's national average. The daily medical usage rates for environmental disease were 1.38‰ for asthma, 9.90‰ for allergic rhinitis, and 0.32‰ for atopic dermatitis. As a result of correlation analysis, PM10 and SO2, NO2 and CO were significantly correlated with asthma, PM10 and NO2 and CO were correlated with allergic rhinitis, and PM10 and PM2.5, SO2, NO2 and CO were correlated with atopic dermatitis. As a result of multiple regression analysis, PM10 and SO2 were found to have a higher effect on asthma, PM10 and NO2 on allergic rhinitis, and SO2 and NO2 on atopic dermatitis, compared to other air pollutants. Conclusion: According to these results, air pollutants such as PM10 and SO2 and NO2 were associated with the medical usage rates of environmental disease even in relatively low concentrations. Therefore, continuous monitoring will be required for general residential areas.

Assessments of Dissolved Rare Earth Elements and Anthropogenic Gadolinium Concentrations in Different Processes of Wastewater Treatment Plant in Busan, Korea (부산 하수처리장에서 공정별 용존 희토류 원소의 농도 및 인위적 기원 가돌리늄의 배출량 평가)

  • Lim, Ijin;Ryu, Jong-Sik;Lee, Joonyeob;Lee, Jun-Ho;Cho, Hyung-Mi;Kim, Taejin
    • Journal of the Korean earth science society
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    • v.43 no.2
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    • pp.303-311
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    • 2022
  • Gadolinium, commonly used as a contrast agent for magnetic resonance imaging (MRI), is discharged into aquatic environments without removal after treatment in wastewater treatment plants (WWTPs) because of its high stability. In this study, we collected water samples from Suyeong WWTP, Busan, to investigate the dissolved rare earth element (REE) removal capacity of each wastewater treatment process and to evaluate the discharge of anthropogenic Gd (Gdanth) from effluents. As wastewater passed through each stage of treatment, the concentrations of light REEs (La-Eu) decreased, whereas those of heavy REEs (Tb-Lu) were relatively consistent. Negative Sm anomalies (<1) were observed in several samples, indicating that Sm can be removed by adsorption onto particles or phosphate during the biological removal process. Positive Gd anomalies (149±50, n=9) were observed in all samples. The ratios of Gdanth concentrations to measured Gd concentrations in all wastewater treatment processes were higher than 97%. This indicates that Gdanth was discharged to the Suyeong River without removal during the wastewater treatment process. Considering the daily treatment capacity in each process, the total flux of Gdanth was estimated to be 259 mmol/day. Our results suggest that mid- and/or long-term monitoring of Gd is needed because Gdanth is continuously discharged into Suyeong Bay through WWTPs.

Forest Fire Area Extraction Method Using VIIRS (VIIRS를 활용한 산불 피해 범위 추출 방법 연구)

  • Chae, Hanseong;Ahn, Jaeseong;Choi, Jinmu
    • Korean Journal of Remote Sensing
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    • v.38 no.5_2
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    • pp.669-683
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    • 2022
  • The frequency and damage of forest fires have tended to increase over the past 20 years. In order to effectively respond to forest fires, information on forest fire damage should be well managed. However, information on the extent of forest fire damage is not well managed. This study attempted to present a method that extracting information on the area of forest fire in real time and quasi-real-time using visible infrared imaging radiometer suite (VIIRS) images. VIIRS data observing the Korean Peninsula were obtained and visualized at the time of the East Coast forest fire in March 2022. VIIRS images were classified without supervision using iterative self-organizing data analysis (ISODATA) algorithm. The results were reclassified using the relationship between the burned area and the location of the flame to extract the extent of forest fire. The final results were compared with verification and comparison data. As a result of the comparison, in the case of large forest fires, it was found that classifying and extracting VIIRS images was more accurate than estimating them through forest fire occurrence data. This method can be used to create spatial data for forest fire management. Furthermore, if this research method is automated, it is expected that daily forest fire damage monitoring based on VIIRS will be possible.

Evaluation of significant pollutant sources affecting water quality of the Geum River using principal component analysis (주성분분석(PCA) 방법을 이용한 금강 수질의 주요 오염원 영향 평가)

  • Legesse, Natnael Shiferaw;Kim, Jaeyoung;Seo, Dongil
    • Journal of Korea Water Resources Association
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    • v.55 no.8
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    • pp.577-588
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    • 2022
  • This study aims to identify the limiting nutrient for algal growth in the Geum River and the significant pollutant sources from the tributaries affecting the water quality and to provide a management alternative for an improvement of water quality. An eight-year of daily data (2013~2020) were collected from the Water Environment Information System (water.nier.go.kr) and Water Resources Management Information System (wamis.go.kr). 14 water quality variables were analyzed at five water quality monitoring stations in the Geum River (WQ1-WQ5). In the Geum River, the water quality variables, especially Chl-a vary greatly in downstream of the river. In the open weir gate operation, TP (total phosphorus) and water temperature greatly influence the growth of algae in downstream of the river. A correlation analysis was used to identify the relationship between variables and investigate the factor affecting algal growth in the Geum River. At the downstream station (WQ5), TP and Temp have shown a strong correlation with Chl-a, indicating they significantly influence the algal bloom. The principal component analysis (PCA) was applied to identify and prioritize the major pollutant sources of the two major tributaries of the river, Gab-cheon and Miho-cheon. PCA identifies three major pollutant sources for Gab-cheon and Miho-cheon, respectively. For Gab-cheon, wastewater treatment plant, urban, and agricultural pollutions pollution are identified as significant pollutant sources. For Miho-cheon, agricultural, urban, and forest land are identified as major pollutant sources. PCA seems to be effective in identifying water pollutant sources for the Geum River and its tributaries in detail and thus can be used to develop water quality management strategies.

Detection of Tracheal Sounds using PVDF Film and Algorithm Establishment for Sleep Apnea Determination (PVDF 필름을 이용한 기관음 검출 및 수면무호흡 판정 알고리즘 수립)

  • Jae-Joong Im;Xiong Li;Soo-Min Chae
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.2
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    • pp.119-129
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    • 2023
  • Sleep apnea causes various secondary disease such as hypertension, stroke, myocardial infarction, depression and cognitive impairment. Early detection and continuous management of sleep apnea are urgently needed since it causes cardio-cerebrovascular diseases. In this study, wearable device for monitoring respiration during sleep using PVDF film was developed to detect vibration through trachea caused by breathing, which determines normal breathing and sleep apnea. Variables such as respiration rate and apnea were extracted based on the detected breathing sound data, and a noise reduction algorithm was established to minimize the effect even when there is a noise signal. In addition, it was confirmed that irregular breathing patterns can be analyzed by establishing a moving threshold algorithm. The results show that the accuracy of the respiratory rate from the developed device was 98.7% comparing with the polysomnogrphy result. Accuracy of detection for sleep apnea event was 92.6% and that of the sleep apnea duration was 94.0%. The results of this study will be of great help to the management of sleep disorders and confirmation of treatment by commercialization of wearable devices that can monitor sleep information easily and accurately at home during daily life and confirm the progress of treatment.