• Title/Summary/Keyword: Cloud Temperature

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Activities for the Environmental Satellite Data Center at the Science University of Tokyo

  • Takagi, Mikio
    • Proceedings of the KSRS Conference
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    • 1998.09a
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    • pp.134-137
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    • 1998
  • NOAA satellite data and GMS data have been received at the Institute of Industrial Science, University of Tokyo since early 80's and 1994, respectively. So far, all data are archived and users can look their quick look images through the Internet and get the data by request. The following processed data set will be available soon with the corporation with the Science University of Tokyo: Radiometrically corrected by 65 code and geometrically corrected NOAA data with the corporation with Iwate University and NDVI, SST and cloud classified images as their products. 1 km AVHRR Land Project Data Set of Asia and their 14 regional subsets. Geometrically corrected GMS images and surface temperature maps, sea surface temperature maps and cloud classification maps.

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Rainfall Intensity Estimation with Cloud Type using Satellite Data

  • Jee, Joon-Bum;Lee, Kyu-Tae
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.660-663
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    • 2006
  • Rainfall estimation is important to weather forecast, flood control, hydrological plan. The empirical and statistical methods by measured data(surface rain gauge, rainfall radar, Satellite) is commonly used for rainfall estimation. In this study, the rainfall intensity for East Asia region was estimated using the empirical relationship between SSM/I data of DMSP satellite and brightness temperature of GEOS-9(10.7${\mu}m$) with cloud types(ISCCP and MSG classification). And the empirical formula for rainfall estimation was produced by PMM (Probability Matching Method).

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Study on the Performance Analysis of Solar Heating System with Cloud Cover (운량에 따른 태양열 시스템의 성능 분석에 관한 연구)

  • Kim, Won-Seok;Pyo, Jong-Hyun;Cho, Hong-Hyun;Ryu, Nam-Jin
    • Proceedings of the SAREK Conference
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    • 2009.06a
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    • pp.1215-1219
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    • 2009
  • In this study, the performance of solar assisted hybrid heat pump system with cloud cover were analyzed by using experimental method in spring season. It was consisted of concentric evacuated tube solar collector, heat medium tank, heat storage tank, heat pump, and so on. As a result, the solar radiation should be maintained over $4.1\;MJ/m^2$ in order to operate solar heating system for heating. Solar heat of collector wasn't affected by ambient temperature, but cloud cover has a big effect to collector efficiency. In addition, the collector efficiency is about 50-60%, and solar fraction is 40% for this system.

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Two-Stage Multichannel Architecture for Oyster Product Management System

  • Yang, Yeong-Yil
    • International Journal of Advanced Culture Technology
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    • v.7 no.4
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    • pp.96-103
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    • 2019
  • In this paper, we propose two-stage multichannel architecture for oyster product management system, called cloud stage and agent stage. There are two communication channels at each stage. In cloud stage, the embedded system in the smart scale communicates with the server through two channels, Ethernet or 3G/LTE mobile communication. In agent stage, PCs and smart phones called agents communicate with the server also through Internet and 3G/LTE mobile communication. Compared with previous system in which the amount of the oyster produced in oyster workplaces could be monitored only at the console of only one oyster main server, developed system makes it possible to monitor the amount of produced oyster at several PCs (or smart phones). In addition to the amount of oysters produced at all oyster workplaces the environment of oyster workplaces such as temperature and humidity can be monitored on agents to judge the freshness. Two-stage architecture with multiple channels makes it possible to monitor the amount of oyster product and environment of the oyster workplace at any place in real time.

Determination of Mefenamic Acid in Human Urine by Means of Two Spectroscopic Methods by Using Cloud Point Extraction Methodology as a Tool for Treatment of Samples

  • Tabrizi, Ahad Bavili
    • Bulletin of the Korean Chemical Society
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    • v.27 no.11
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    • pp.1780-1784
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    • 2006
  • Cloud point extraction was used to extract mefenamic acid (MF) from human urine, and spectrofluorimetry and spectrophotometry were used to analyze extracted MF. The variables affecting extraction and phase separation, i.e. HCl and Triton X-114 concentration, temperature and time of equilibration, were optimized. Under the experimental conditions used the limit of detection for extraction of 25 mL of sample was 0.006 and 0.045 mg $L^{-1}$, with relative standard deviations of 2.52 and 1.45% (n = 5) for spectrofluorimetric or spectrophotometric methods, respectively. Good recoveries in the range of 95-107% were obtained for spiked samples. The proposed methods were applied to the determination of MF in human urine.

Surface Modification of PET with Ethoxylated Alkylaminoanthraquinone - Effect of Spacer on the Adsorption Behavior - (Ethoxylated Alkylaminoanthraquinone에 의한 PET의 표면개질 - Spacer의 길이에 따른 흡착거동 -)

  • 최영주;윤남식
    • Textile Coloration and Finishing
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    • v.15 no.3
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    • pp.185-191
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    • 2003
  • Surface modification of poly(ethylene terephthalate) (PEI) films by treatment with ethoxylated alkylaminoanthraquinoes which was synthesized by the reaction of 1-aminoanthraquinone with poly(ethylene glycol) via a series of methylene spacer were investigated. The synthesized ethoxylated alkylaminoanthraquinones showed definite cloud point as in nonionic surfactants, and the adsorption of the compounds on PET increased near the cloud point. At same temperature the adsorption increased with the length of methylene spacer; hexyl-octyl-, and decyl-. The adsorption was limited to the extreme surface of PET film, which made the surface of PET film hydrophillic by reducing water contact angle.

Generation of Sea Surface Temperature Products Considering Cloud Effects Using NOAA/AVHRR Data in the TeraScan System: Case Study for May Data (TeraScan시스템에서 NOAA/AVHRR 해수면온도 산출시 구름 영향에 따른 신뢰도 부여 기법: 5월 자료 적용)

  • Yang, Sung-Soo;Yang, Chan-Su;Park, Kwang-Soon
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.13 no.3
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    • pp.165-173
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    • 2010
  • A cloud detection method is introduced to improve the reliability of NOAA/AVHRR Sea Surface Temperature (SST) data processed during the daytime and nighttime in the TeraScan System. In daytime, the channels 2 and 4 are used to detect a cloud using the three tests, which are spatial uniformity tests of brightness temperature (infrared channel 4) and channel 2 albedo, and reflectivity threshold test for visible channel 2. Meanwhile, the nighttime cloud detection tests are performed by using the channels 3 and 4, because the channel 2 data are not available in nighttime. This process include the dual channel brightness temperature difference (ch3 - ch4) and infrared channel brightness temperature threshold tests. For a comparison of daytime and nighttime SST images, two data used here are obtained at 0:28 (UTC) and 21:00 (UTC) on May 13, 2009. 6 parameters was tested to understand the factors that affect a cloud masking in and around Korean Peninsula. In daytime, the thresholds for ch2_max cover a range 3 through 8, and ch4_delta and ch2_delta are fixed on 5 and 2, respectively. In nighttime, the threshold range of ch3_minus_ch4 is from -1 to 0, and ch4_delta and min_ch4_temp have the fixed thresholds with 3.5 and 0, respectively. It is acceptable that the resulted images represent a reliability of SST according to the change of cloud masking area by each level. In the future, the accuracy of SST will be verified, and an assimilation method for SST data should be tested for a reliability improvement considering an atmospheric characteristic of research area around Korean Peninsula.

A Study on the remote acuisition of HejHome Air Cloud artifacts (스마트 홈 헤이 홈 Air의 클라우드 아티팩트 원격 수집 방안 연구)

  • Kim, Ju-eun;Seo, Seung-hee;Cha, Hae-seong;Kim, Yeok;Lee, Chang-hoon
    • Journal of Internet Computing and Services
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    • v.23 no.5
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    • pp.69-78
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    • 2022
  • As the use of Internet of Things (IoT) devices has expanded, digital forensics coverage of the National Police Agency has expanded to smart home areas. Accordingly, most of the existing studies conducted to acquire smart home platform data were mainly conducted to analyze local data of mobile devices and analyze network perspectives. However, meaningful data for evidence analysis is mainly stored on cloud storage on smart home platforms. Therefore, in this paper, we study how to acquire stored in the cloud in a Hey Home Air environment by extracting accessToken of user accounts through a cookie database of browsers such as Microsoft Edge, Google Chrome, Mozilia Firefox, and Opera, which are recorded on a PC when users use the Hey Home app-based "Hey Home Square" service. In this paper, the it was configured with smart temperature and humidity sensors, smart door sensors, and smart motion sensors, and artifacts such as temperature and humidity data by date and place, device list used, and motion detection records were collected. Information such as temperature and humidity at the time of the incident can be seen from the results of the artifact analysis and can be used in the forensic investigation process. In addition, the cloud data acquisition method using OpenAPI proposed in this paper excludes the possibility of modulation during the data collection process and uses the API method, so it follows the principle of integrity and reproducibility, which are the principles of digital forensics.

Derivation of SST using MODIS direct broadcast data

  • Chung, Chu-Yong;Ahn, Myoung-Hwan;Koo, Ja-Min;Sohn, Eun-Ha;Chung, Hyo-Sang
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.638-643
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    • 2002
  • MODIS (MODerate-resolution Imaging Spectroradiometer) onboard the first Earth Observing System (EOS) satellite, Terra, was launched successfully at the end of 1999. The direct broadcast MODIS data has been received and utilized in Korea Meteorological Administration (KMA) since february 2001. This study introduces utilizations of this data, especially for the derivation of sea surface temperature (SST). To produce the MODIS SST operationally, we used a simple cloud mask algorithm and MCSST algorithm. By using a simple cloud mask algorithm and by assumption of NOAA daily SST as a true SST, a new set of MCSST coefficients was derived. And we tried to analyze the current NASA's PFSST and new MCSST algorithms by using the collocated buoy observation data. Although the number of collocated data was limited, both algorithms are highly correlated with the buoy SST, but somewhat bigger bias and RMS difference than we expected. And PFSST uniformly underestimated the SST. Through more analyzing the archived and future-received data, we plan to derive better MCSST coefficients and apply to MODIS data of Aqua that is the second EOS satellite. To use the MODIS standard cloud mask algorithm to get better SST coefficients is going to be prepared.

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Determination of Palladium in Water Samples Using Cloud Point Extraction Coupled with Laser Thermal Lens Spectrometry

  • Han, Quan;Huo, Yanyan;Yang, Na;Yang, Xiaohui;Zhai, Yunhui;Zhang, Qianyun
    • Journal of the Korean Chemical Society
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    • v.59 no.5
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    • pp.407-412
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    • 2015
  • A preconcentration procedure for determination of palladium by laser thermal lens spectrometry (TLS) is proposed. It is based on cloud point extraction of palladium(II) ions as 2-(3,5-dichloro-2-pyridylazo)-5-dimethylaminoaniline (3,5-diCl-PADMA) complexes using octylphenoxypolyethoxyethanol (Triton X-114) as surfactant. The effects of various experimental conditions such as pH, concentration of ligand and surfactant, equilibration temperature and time on cloud point extraction were studied. Under the optimized conditions, the calibration graph was linear in the range of 0.15~6 ng mL−1, and the detection limit was 0.04 ng mL−1 with an enrichment factor of 22. The sensitivity was enhanced by 846 times when compared with the conventional spectrophotometric method. The recovery of palladium was in the range of 96.6%~104.0%. The proposed method was applied to the determination of palladium in water samples.