• 제목/요약/키워드: limited observation

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위성영상 기반 일사량을 활용한 대전지역 표준기상년 데이터 생산 (Derivation of Typical Meteorological Year of Daejeon from Satellite-Based Solar Irradiance)

  • 김창기;김신영;김현구;강용혁;윤창열
    • 한국태양에너지학회 논문집
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    • 제38권6호
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    • pp.27-36
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    • 2018
  • Typical Meteorological Year Dataset is necessary for the renewable energy feasibility study. Since National Renewable Energy Laboratory has been built Typical Meteorological Year Dataset in 1978, gridded datasets taken from numerical weather prediction or satellite imagery are employed to produce Typical Meteorological Year Dataset. In general, Typical Meteorological Year Dataset is generated by using long-term in-situ observations. However, solar insolation is not usually measured at synoptic observing stations and therefore it is limited to build the Typical Meteorological Year Dataset with only in-situ observation. This study attempts to build the Typical Meteorological Year Dataset with satellite derived solar insolation as an alternative and then we evaluate the Typical Meteorological Year Dataset made by using satellite derived solar irradiance at Daejeon ground station. The solar irradiance is underestimated when satellite imagery is employed.

악액질(cachexia) 환자에게 적용한 운동치료가 피로와 불안에 미치는 영향(단일사례 보고) (Effects of Therapeutic Exercise on Fatigue and Anxiety of Cachexia Patients(Case Report))

  • 안현규;윤정규
    • 대한통합의학회지
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    • 제6권4호
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    • pp.111-125
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    • 2018
  • Purpose : Cachexia, is a complex metabolic syndrome associated with underlying illness and characterized by loss of muscle with or without loss of fat mass. Patients with cachxia shows various symptoms including fatigue, anxiety, pain, sleep disorders, and poor appetite. Medications therapy, dietary and exercise therapy, and emotional support are recommended to treat patients with cachexia. However, evidence-based research verifying the role of exercise therapy in patients with cachexia is limited. The purpose of this study was to investigate the effects of therapeutic exercise on fatigue and anxiety in patients with cachexia. Methods : Case report. A 29-year-old woman was diagnosed with cachexia. Following 2 weeks of inpatient and 4 weeks of out-patient treatment. we assessed her weight, as well as pain, fatigue, and anxiety level. As an the patient exercised for an hour 5 times a week for 2 weeks,-and during the outpatient visit, she exercised for an hour twice a week for 4 weeks. Her weight was measured using a weighting scale. Pain was assessed using the visual analog scale, and fatigue and anxiety levels were assessed using questionnaires. Results : Following 6 weeks of treatment, exercise therapy a positively affected the patient's weight, as well as pain, fatigue, and anxiety levels. We observed a weight gain of 4.5 kg, pain reduction of 5.1 points. Fatigue reduction of 43 points, anxiety reduction of total 41 points. Conclusion : Exercise therapy positively affects weight, as well as pain, fatigue, and anxiety levels in patients with cachexia. However, generalization of this observation is inappropriate based on this single case study.

The observation of permeation grouting method as soil improvement technique with different grout flow models

  • Celik, Fatih
    • Geomechanics and Engineering
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    • 제17권4호
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    • pp.367-374
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    • 2019
  • This study concluded the results of a research on the features of cement based permeation grout, based on some important grout parameters, such as the rheological properties (yield stress and viscosity), coefficient of permeability to grout ($k_G$) and the inject ability of cement grout (N and $N_c$ assessment), which govern the performance of cement based permeation grouting in porous media. Due to the limited knowledge of these important grout parameters and other influencing factors (filtration pressure, rate and time of injection and the grout volume) used in the field work, the application of cement based permeation grouting is still largely a trial and error process in the current practice, especially in the local construction industry. It is seen possible to use simple formulas in order to select the injection parameters and to evaluate their inter-relationship, as well as to optimize injection spacing and times with respect to injection source dimensions and in-situ permeability. The validity of spherical and cylindrical flow model was not verified by any past research works covered in the literature review. Therefore, a theoretical investigation including grout flow models and significant grout parameters for the design of permeation grouting was conducted in this study. This two grout flow models were applied for three grout mixes prepared for w/c=0.75, w/c=1.00 and w/c=1.25 in this study. The relations between injection times, radius, pump pressure and flow rate for both flow models were investigated and the results were presented. Furthermore, in order to investigate these two flow model, some rheological properties of the grout mixes, particle size distribution of the cement used in this study and some geotechnical properties of the sand used in this work were defined and presented.

Multi-constellation Local-area Differential GNSS for Unmanned Explorations in the Polar Regions

  • Kim, Dongwoo;Kim, Minchan;Lee, Jinsil;Lee, Jiyun
    • Journal of Positioning, Navigation, and Timing
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    • 제8권2호
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    • pp.79-85
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    • 2019
  • The mission tasks of polar exploration utilizing unmanned systems such as glacier monitoring, ecosystem research, and inland exploration have been expanded. To facilitate unmanned exploration mission tasks, precise and robust navigation systems are required. However, limitations on the utilization of satellite navigation system are present due to satellite orbital characteristics at the polar region located in a high latitude. The orbital inclination of global positioning system (GPS), which was developed to be utilized in mid-latitude sites, was designed at $55^{\circ}$. This means that as the user is located in higher latitudes, the satellite visibility and vertical precision become worse. In addition, the use of satellite-based wide-area augmentation system (SBAS) is also limited in higher latitude regions than the maximum latitude of signal reception by stationary satellites, which is $70^{\circ}$. This study proposes a local-area augmentation system that additionally utilizes Global Navigation Satellite System (GLONASS) considering satellite navigation system environment in Polar Regions. The orbital inclination of GLONASS is $64.8^{\circ}$, which is suitable in order to ensure satellite visibility in high-latitude regions. In contrast, GLONASS has different system operation elements such as configuration elements of navigation message and update cycle and has a statistically different signal error level around 4 m, which is larger than that of GPS. Thus, such system characteristics must be taken into consideration to ensure data integrity and monitor GLONASS signal fault. This study took GLONASS system characteristics and performance into consideration to improve previously developed fault detection algorithm in the local-area augmentation system based on GPS. In addition, real GNSS observation data were acquired from the receivers installed at the Antarctic King Sejong Station to analyze positioning accuracy and calculate test statistics of the fault monitors. Finally, this study analyzed the satellite visibility of GPS/GLONASS-based local-area augmentation system in Polar Regions and conducted performance evaluations through simulations.

위성기반 Climate Hazards Group InfraRed Precipitation with Station (CHIRPS)를 활용한 한반도 지역의 기상학적 가뭄지수 적용 (Application of Meteorological Drought Index using Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) Based on Global Satellite-Assisted Precipitation Products in Korea)

  • 문영식;남원호;전민기;김태곤;홍은미
    • 한국농공학회논문집
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    • 제61권2호
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    • pp.1-11
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    • 2019
  • Remote sensing products have long been used to monitor and forecast natural disasters. Satellite-derived rainfall products are becoming more accurate as space and time resolution improve, and are widely used in areas where measurement is difficult because of the periodic accumulation of images in large areas. In the case of North Korea, there is a limit to the estimation of precipitation for unmeasured areas due to the limited accessibility and quality of statistical data. CHIRPS (Climate Hazards Group InfraRed Precipitation with Stations) is global satellite-derived rainfall data of 0.05 degree grid resolution. It has been available since 1981 from USAID (U.S. Agency for International Development), NASA (National Aeronautics and Space Administration), NOAA (National Oceanic and Atmospheric Administration). This study evaluates the applicability of CHIRPS rainfall products for South Korea and North Korea by comparing CHIRPS data with ground observation data, and analyzing temporal and spatial drought trends using the Standardized Precipitation Index (SPI), a meteorological drought index available through CHIRPS. The results indicate that the data set performed well in assessing drought years (1994, 2000, 2015 and 2017). Overall, this study concludes that CHIRPS is a valuable tool for using data to estimate precipitation and drought monitoring in Korea.

소청초 종합해양과학기지 Radar 파랑 관측 데이터의 신뢰도 향상 (Quality Enhancement of Wave Data Observed by Radar at the Socheongcho Ocean Research Station)

  • 민용침;정진용;심재설;도기덕
    • 한국연안방재학회지
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    • 제4권4호
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    • pp.189-196
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    • 2017
  • Ocean Research Stations (ORSs) is the ocean platform type observation towers and measured oceanic, atmospheric and environmental data. These station located on the offshore area far from the coast, so they can produce the data without land effect. This study focused to improve the wave data quality of ORS station. The wave observations at ORSs are used by the C-band (5.8 GHz, 5.17 cm) MIROS Wave and Current Radar (MWR). MWR is convenient to maintenance and produce reliability wave data under bad weather conditions. MWR measured significant wave height, peak wave period, peak wave direction and 2D wave spectrum, so it's can provide wave information for researchers and engineers. In order to improve the reliability of MWR wave data, Datawell Waverider Buoy was installed near the one ORS (Socheoncho station) during 7 months and validate the wave data of MWR. This study found that the wave radar tend to be overestimate the low wave height under wind condition. Firstly, this study carried out the wave Quality Control (QC) using wind data, however the quality of wave data was limited. So, this study applied the four filters (Correlation Check, Direction Filter, Reduce White Noise and Phillips Check) of MWR operating software and find that the filters effectively improve the wave data quality. After applying 3 effective filters in combination, the RMSE of significant wave height decreased from 0.81m to 0.23m, by 0.58m and Correlation increased from 0.66 to 0.96, by 0.32, so the reliability of MWR significant wave height was significantly improved.

저궤도 위성 간 X-대역 하향링크에서의 간섭 영향성 분석 (Interference Analysis Between LEO Satellites for X-band Downlink)

  • 추무궁;황인영;배민지;서인호;류영재
    • 한국항공우주학회지
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    • 제49권6호
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    • pp.489-496
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    • 2021
  • 지구 관측위성의 데이터를 지상으로 전송하기 위해 활용되는 X-대역 주파수는 한정적이므로, 여러 위성들이 해당 동일 대역을 공유하는 방식으로 활용한다. 복수의 위성이 유사 주파수 대역을 활용하기 위해서 국제전기통신연합-전파통신부문(International Telecommunication Union - Radiocommunication; ITU-R)에서는 송신 대역 내 전력속밀도(Power Flux Density; PFD) 제한 조건이 있고, 이를 통해 위성 간 간섭 영향성을 극복하고 있다. 하지만 이러한 규정 하에서도 복수의 위성이 비교적 근접한 지상국에 접속하는 경우 간섭 영향성의 분석이 수행될 필요가 있다. 본 논문에서는 한반도 내에 임의 배치된 두 개의 지상국을 기준으로, 서로 다른 궤도를 따르는 두 개의 저궤도 위성에 각각 접속하여 통신할 경우에 대해 수신 신호대 간섭+잡음비(Signal to Interference plus Noise Ration; SINR) 기준으로 간섭 영향성 분석을 수행하였다. 간섭 영향성 분석을 통해 PFD 규격을 만족시키는 두 위성이라 하더라도 전체 임무 기간(365일 가정) 내에 간섭은 발생할 수 있으나 영향받는 기간이 짧고 미리 예측할 수 있음을 확인할 수 있었다.

적조 탐지를 위한 기계학습 모델 비교 연구 (A Comparative Study on Machine Learning Models for Red Tide Detection)

  • 박미소;김나경;김보람;윤홍주
    • 한국전자통신학회논문지
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    • 제16권6호
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    • pp.1363-1372
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    • 2021
  • 유해조류의 대번식으로 정의되는 적조는 광역적으로 발생·확산되는 특성을 가진다. 이는 기존의 조사 방법만으로는 탐지의 한계가 있다. 따라서 본 연구에서는 적조를 원격탐사 기법을 활용하여 탐지하였다. 또한 단순히 chlorophyll의 농도가 아닌 광특성을 이용하여 탐지의 정확도를 높이고자 하였다. 적조는 해수신호가 복잡한 남해안에서 주로 발생하며 남해안의 주 적조 종은 Cochlodinium polykirkoides이다. 따라서 기계학습 기법을 활용하여 시각적인 판단에 국한되지 않고 연구자의 관찰과 경험에 의존해 발견하지 못했던 특징을 반영하여 객관성을 확보하고자 하였다. 본 연구에서는 기계학습 모델 중에서 서포트백터머신과 랜덤포레스트를 사용하였고 두 모델의 성능 평가 지표로 정확도 등을 산출한 결과 각각 85.7% 80.2%의 정확도를 보였다.

Development of Real-time PCR Assay Based on Hydrolysis Probe for Detection of Epichloë spp. and Toxic Alkaloid Synthesis Genes

  • Lee, Ki-Won;Woo, Jae Hoon;Song, Yowook;Rahman, Md Atikur;Lee, Sang-Hoon
    • 한국초지조사료학회지
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    • 제42권3호
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    • pp.201-207
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    • 2022
  • Fescues, which are widely cultivated as grasses and forages around the world, are often naturally infected with the endophyte, Epichloë. This fungus, transmitted through seeds, imparts resistance to drying and herbivorous insects in its host without causing any external damage, thereby contributing to the adaptation of the host to the environment and maintaining a symbiosis. However, some endophytes, such as E. coenophialum synthesize ergovaline or lolitrem B, which accumulate in the plant and impart anti-mammalian properties. For example, when livestock consume excessive amounts of grass containing toxic endophytes, problems associated with neuromuscular abnormalities, such as convulsions, paralysis, high fever, decreased milk production, reproductive disorders, and even death, can occur. Therefore, pre-inoculation with non-toxic endogenous fungi or management with endophyte-free grass is important in preventing damage to livestock and producing high-quality forage. To date, the diagnosis of endophytes has been mainly performed by observation under a microscope following staining, or by performing an immune blot assay using a monoclonal antibody. Recently, the polymerase chain reaction (PCR)-based molecular diagnostic method is gaining importance in the fields of agriculture, livestock, and healthcare given the method's advantages. These include faster results, with greater accuracy and sensitivity than those obtained using conventional diagnostic methods. For the diagnosis of endophytes, the nested PCR method is the only available option developed; however, it is limited by the fact that the level of toxic alkaloid synthesis cannot be estimated. Therefore, in this study, we aimed to develop a triplex real-time PCR diagnostic method that can determine the presence or absence of endophyte infection using DNA extracted from seeds within 1 h, while simultaneously detecting easD and LtmC genes, which are related to toxic alkaloid synthesis. This new method was then also applied to real field samples.

Integrated Water Resources Management in the Era of nGreat Transition

  • Ashkan Noori;Seyed Hossein Mohajeri;Milad Niroumand Jadidi;Amir Samadi
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.34-34
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    • 2023
  • The Chah-Nimeh reservoirs, which are a sort of natural lakes located in the border of Iran and Afghanistan, are the main drinking and agricultural water resources of Sistan arid region. Considering the occurrence of intense seasonal wind, locally known as levar wind, this study aims to explore the possibility to provide a TSM (Total Suspended Matter) monitoring model of Chah-Nimeh reservoirs using multi-temporal satellite images and in-situ wind speed data. The results show that a strong correlation between TSM concentration and wind speed are present. The developed empirical model indicated high performance in retrieving spatiotemporal distribution of the TSM concentration with R2=0.98 and RMSE=0.92g/m3. Following this observation, we also consider a machine learning-based model to predicts the average TSM using only wind speed. We connect our in-situ wind speed data to the TSM data generated from the inversion of multi-temporal satellite imagery to train a neural network based mode l(Wind2TSM-Net). Examining Wind2TSM-Net model indicates this model can retrieve the TSM accurately utilizing only wind speed (R2=0.88 and RMSE=1.97g/m3). Moreover, this results of this study show tha the TSM concentration can be estimated using only in situ wind speed data independent of the satellite images. Specifically, such model can supply a temporally persistent means of monitoring TSM that is not limited by the temporal resolution of imagery or the cloud cover problem in the optical remote sensing.

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