• Title/Summary/Keyword: Intensity Method

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Evaluation of the Burning Properties of Various Carpet Samples by using the Cone Calorimeter and Gas Toxicity Test (콘칼로리미터와 가스유해성 시험법을 이용한 카페트류의 연소특성 평가)

  • Lee, Bong-Woo;Kwon, Seong-Pil;Lee, Jang-Won;Lee, Byoung-Ho;Kim, Hee-Soo;Kim, Hyun-Joong
    • Fire Science and Engineering
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    • v.23 no.6
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    • pp.1-9
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    • 2009
  • In this study, the burning behaviours of five different kinds of carpet samples covered with nylon, PP (polypropylene), PTT (poly(trimethylene terephthalate)), wool fabric and NW (nylon and wool) were evaluated by using the cone calorimeter having a radiant flux of 50kW/$m^2$. And the combustion gas toxicity was evaluated according to KS F 2271 test method. As a result of the cone calorimeter test (KS F ISO 5660-1), nylon carpet samples were ignited most easily. In ignition ability or initial flammability, NW carpet samples showed the highest value. In heat release rate (HRR), fire intensity, PP carpet samples were larger than any other samples. Nylon carpet samples were the highest smoke production rate, while N/W carpet samples the lowest. The following were in mass loss rates: NW > wool > nylon > PP > PTT. CO (carbon monoxide) was one of the most toxic gases released from the combustion. PTT carpet samples gave rise to the highest CO concentration, while NW carpet samples the lowest. In addition, PP carpet samples caused the highest $CO_2$ (carbon dioxide) concentration, while NW carpet samples the lowest. Toxicity of the gas produced from carpet samples was determined by the mouse stop motion, and it resulted in the fact that the combustion gas of PTT carpet samples was more toxic than that of any other samples.

Comparison of meridians electric response property for laser and acupuncture stimulation (레이저자극과 수기자극에 대한 경락전기반응 특성비교)

  • Lee, Yong-Heum;Ryu, Yeon-Hang;Jung, Byoung-Jo;Shin, Tae-Min
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.12
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    • pp.2335-2342
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    • 2007
  • Laser stimulation has been widely studied and used in clinic. However, electrical response by laser stimulation on meridians has not been investigated. In this study, we compared electric potential of laser and acupuncture stimulation on meridians. We measured electric potential variation at acupoints(Samgan(LI3) and Hapgok(LI4)) on Large Intestine Meridian. In laser stimulation results, average peak electric potential is very low($7.53{\pm}3.44{\mu}V$) for before and after stimulation. However, acupuncture stimulation was performed in ground connection condition and resulted in huge variation of average peak electric potential($2.65{\pm}1.53mV$). That is, the intensity and pattern of electric potential were dependent on the ground connection condition and individual. Also, the electric potential pattern was very similar to the pattern of electric charge and discharge of capacitor. The acupuncture stimulation using a insulating needle resulted in lower average peak electric potential variation($0.25{\pm}0.16mV$) than that of acupuncture stimulation. It might present little electrical response of acupuncture stimulation using insulating needles. In point of electrical response, the laser stimulation was determined to be no acupuncture effect at meridian. Acupuncture stimulation seems to be most effective method to induce electrical response at meridians. The procedure and effect of acupuncture might be considered as energy consensus phenomenon by transportation of bio-ion charge between a practitioner and patient.

Identification of Irradiated Food Additives by Photostimulated Luminescence (PSL) Method (Photostimulated Luminescence (PSL) 방법에 의한 국내 유통 분말형 식품가공원료의 방사선 조사 여부 모니터링)

  • Yun, Hyejeong;Hur, Jungmu;Yang, Suhyung;Lee, Byoung-Hun;Kwon, Joong-Ho;Kim, Dongho
    • Journal of Radiation Industry
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    • v.2 no.1
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    • pp.27-34
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    • 2008
  • Photostimulated luminescence (PSL), electron spin resonance (ESR) and thermoluminescence (TL) analyses were conducted to detect whether 258 kinds of extracted and powdered forms food additives were irradiated or not. In a view of the PSL results, 9 kinds of the extracted and powdered samples (3.2%) showed over 5,000 photon counts $(60sec)^{-1}$ and these samples were judged to be irradiation-positive. Thirty nine kinds of the samples (15.6%) yielded 700~5,000 photon counts $(60sec)^{-1}$ and these samples were grouped into irradiation-potential, while the samples showed below 700 photon counts $(60sec)^{-1}$ sec were judged to be irradiation-negative. TL glow curves for minerals separated from 5 samples were detected at $150^{\circ}C$ with high intensity. However, TL analysis did not apply to other irradiation-positive and irradiation-potential samples because the minerals for TL detection were not separated from the samples. ESR measurements for irradiation-positive and irradiation-potential samples, judged by PSL detection, showed no specific signals to irradiation. The results indicated that PSL could be applied to identify irradiation treatment of extracted and powdered food additives, while TL was optional and ESR was not suitable for detection extracted and powdered food additives.

Intertidal DEM Generation Using Waterline Extracted from Remotely Sensed Data (원격탐사 자료로부터 해안선 추출에 의한 조간대 DEM 생성)

  • 류주형;조원진;원중선;이인태;전승수
    • Korean Journal of Remote Sensing
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    • v.16 no.3
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    • pp.221-233
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    • 2000
  • An intertidal topography is continuously changed due to morphodynamics processes. Detection and measurement of topographic change for a tidal flat is important to make an integrated coastal area management plan as well as to carry out sedimentologic study. The objective of this study is to generate intertidal DEM using leveling data and waterlines extracted from optical and microwave remotely sensed data in a relatively short period. Waterline is defined as the border line between exposed tidal flat and water body. The contour of the terrain height in tidal flat is equivalent to the waterline. One can utilize satellite images to generate intertidal DEM over large areas. Extraction of the waterline in a SAR image is a difficult task to perform partly because of the presence of speckle and partly because of similarity between the signal returned from the sea surface and that from the exposed tidal flat surface or land. Waterlines in SAR intensity and coherence map can effectively be extracted with MSP-RoA edge detector. From multiple images obtained over a range of tide elevation, it is possible to build up a set of heighted waterline within intertidal zone, and then a gridded DEM can be interpolated. We have tested the proposed method over the Gomso Bay, and succeeded in generating intertidal DEM with relatively high accuracy.

What Determines the Success of Reward-based Crowdfunding in the Art and Cultural Projects? (문화예술 분야의 보상형 크라우드펀딩 성공 결정요인: 소셜 커뮤니케이션 활동 효과를 중심으로)

  • Ryu, Changhan;Hyun, Eunjung
    • Review of Culture and Economy
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    • v.21 no.3
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    • pp.31-58
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    • 2018
  • In this study, we empirically investigated the antecedents of crowdfunding success in the arts and cultural field using the case of Tumblbug in Korea. We collected data on 494 projects listed on Tumblebug in the arts and culture category that includes feature film, documentary, short film, animation, and Web series, as of June 2018. We analyzed the factors associated with the final amount raised via crowdfunding on Tumblbug using the hierarchical regression method. We find that the social capital accumulated by a focal entrepreneur (i.e., the proposer/designer of a focal project) through prior participation in other related projects and social communication activities carried out during the funding period, respectively, have positive effects on the final amount raised. More interestingly, we also find that the intensity of social communication plays a central role in the funding success of arts and culture-related projects by supplementing the lack of the entrepreneur's social capital and the reward features including a given project.

CFD ANALYSIS OF TURBULENT JET BEHAVIOR INDUCED BY A STEAM JET DISCHARGED THROUGH A VERTICAL UPWARD SINGLE HOLE IN A SUBCOOLED WATER POOL

  • Kang, Hyung-Seok;Song, Chul-Hwa
    • Nuclear Engineering and Technology
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    • v.42 no.4
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    • pp.382-393
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    • 2010
  • Thermal mixing by steam jets in a pool is dominantly influenced by a turbulent water jet generated by the condensing steam jets, and the proper prediction of this turbulent jet behavior is critical for the pool mixing analysis. A turbulent jet flow induced by a steam jet discharged through a vertical upward single hole into a subcooled water pool was subjected to computational fluid dynamics (CFD) analysis. Based on the small-scale test data derived under a horizontal steam discharging condition, this analysis was performed to validate a CFD method of analysis previously developed for condensing jet-induced pool mixing phenomena. In previous validation work, the CFD results and the test data for a limited range of radial and axial directions were compared in terms of profiles of the turbulent jet velocity and temperature. Furthermore, the behavior of the turbulent jet induced by the steam jet through a horizontal single hole in a subcooled water pool failed to show the exact axisymmetric flow pattern with regards to an overall pool mixing, whereas the CFD analysis was done with an axisymmetric grid model. Therefore, another new small-scale test was conducted under a vertical upward steam discharging condition. The purpose of this test was to generate the velocity and temperature profiles of the turbulent jet by expanding the measurement ranges from the jet center to a location at about 5% of $U_m$ and 10 cm to 30 cm from the exit of the discharge nozzle. The results of the new CFD analysis show that the recommended CFD model of the high turbulent intensity of 40% for the turbulent jet and the fine mesh grid model can accurately predict the test results within an error rate of about 10%. In this work, the turbulent jet model, which is used to simply predict the temperature and velocity profiles along the axial and radial directions by means of the empirical correlations and Tollmien's theory was improved on the basis of the new test data. The results validate the CFD model of analysis. Furthermore, the turbulent jet model developed in this study can be used to analyze pool thermal mixing when an ellipsoidal steam jet is discharged under a high steam mass flux in a subcooled water pool.

SI-traceable Calibration of a Transmissometer for Meteorological Optical Range (MOR) Observation (기상관측용 투과형 시정계의 국제단위계에 소급하는 교정)

  • Park, Seongchong;Lee, Dong-Hoon;Kim, Yong-Gyoo
    • Korean Journal of Optics and Photonics
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    • v.26 no.2
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    • pp.73-82
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    • 2015
  • This work demonstrates the indoor SI-traceable calibration of a transmissometer with a 75-m baseline for the measurement of visibility in MOR (Meteorological Optical Range). The calibration is performed using a set of neutral density (ND) filters (OD 0.1-2.5) and a set of high-transmission quartz glass plates (a bare quartz glass plate and antireflective-coated quartz glass plates), the collection consisting of 20 artifacts in total. The luminous transmittance values of the reference artifacts had been calibrated traceable to the KRISS spectral transmittance scale, which ranges from 0.2 % to 99.5 %. The transmissometer to be calibrated typically consists of a loosely collimated light source based on a white LED (CCT ~5000 K) and a luminous intensity detector with a CIE 1924 V(${\lambda}$) spectral response. As a result of calibration, we obtained the MOR error and its uncertainty for the transmissometer in 20 m - 40 km of MOR. Based on the results, we investigated the applicability of the calibration method and the conformity of the transmissometer to the ICAO's (International Civil Aviation Organization) accuracy requirement for meteorological visibility measurement. We expect that this work will establish the standard procedure for the SI-traceable calibration of a transmissometer.

Development of artificial intelligence-based river flood level prediction model capable of independent self-warning (독립적 자체경보가 가능한 인공지능기반 하천홍수위예측 모형개발)

  • Kim, Sooyoung;Kim, Hyung-Jun;Yoon, Kwang Seok
    • Journal of Korea Water Resources Association
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    • v.54 no.12
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    • pp.1285-1294
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    • 2021
  • In recent years, as rainfall is concentrated and rainfall intensity increases worldwide due to climate change, the scale of flood damage is increasing. Rainfall of a previously unobserved magnitude falls, and the rainy season lasts for a long time on record. In particular, these damages are concentrated in ASEAN countries, and at least 20 million people among ASEAN countries are affected by frequent flooding due to recent sea level rise, typhoons and torrential rain. Korea supports the domestic flood warning system to ASEAN countries through various ODA projects, but the communication network is unstable, so there is a limit to the central control method alone. Therefore, in this study, an artificial intelligence-based flood prediction model was developed to develop an observation station that can observe water level and rainfall, and even predict and warn floods at once at one observation station. Training, validation and testing were carried out for 0.5, 1, 2, 3, and 6 hours of lead time using the rainfall and water level observation data in 10-minute units from 2009 to 2020 at Junjukbi-bridge station of Seolma stream. LSTM was applied to artificial intelligence algorithm. As a result of the study, it showed excellent results in model fit and error for all lead time. In the case of a short arrival time due to a small watershed and a large watershed slope such as Seolma stream, a lead time of 1 hour will show very good prediction results. In addition, it is expected that a longer lead time is possible depending on the size and slope of the watershed.

Recent Progress in Membrane based Colorimetric Sensor for Metal Ion Detection (색 변화를 활용한 중금속 이온 검출에 특화된 멤브레인 기반 센서의 최근 연구 개발 동향)

  • Bhang, Saeyun;Patel, Rajkumar
    • Membrane Journal
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    • v.31 no.2
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    • pp.87-100
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    • 2021
  • With a striking increase in the level of contamination and subsequent degradations in the environment, detection and monitoring of contaminants in various sites has become a crucial mission in current society. In this review, we have summarized the current research areas in membrane-based colorimetric sensors for trace detection of various molecules. The researches covered in this summary utilize membranes composed of cellulose fibers as sensing platforms and metal nanoparticles or fluorophores as optical reagents. Displaying decent or excellent sensitivity, most of the developed sensors achieve a significant selectivity in the presence of interfering ions. The physical and chemical properties of cellulose membrane platforms can be customized by changing the synthesis method or type of optical reagent used, allowing a wide range of applications possible. Membrane-based sensors are also portable and have great mechanical properties, which enable on-site detection of contaminants. With such superior qualities, membrane-based sensors examined in the researches were used for versatile purposes including quantification of heavy metals in drinking water, trace detection of toxic antibiotics and heavy metals in environmental water samples. Some of the sensors exhibited additional features like antimicrobial ability and recyclability. Lastly, while most of the sensors aimed for a detection enabled by naked eyes through rapid colour change, many of them investigated further detection methods like fluorescence, UV-vis spectroscopy, and RGB colour intensity.

Identification of Vegetable Oil-added Sesame Oil by a Mass Spectrometer-based Electronic Nose (Mass Spectrometer를 바탕으로 한 전자코를 이용한 식물성 유지가 혼합된 참기름의 판별 분석)

  • Son, Hee-Jin;Hong, Eun-Jeung;Ko, Sanghoon;Choi, Jin Young;Noh, Bong-Soo
    • Food Engineering Progress
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    • v.13 no.4
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    • pp.275-281
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    • 2009
  • Sesame oils are partially mixed with other vegetable oils due to high price in a Korean market. To find out authentic sesame oil, a mass spectrometer-based electronic nose (MS-based E-nose) was used. Sesame oil (Se) was blended with soybean oil (So) or corn oil (Co) at the ratio (Se:So, Se:Co) of 97:3, 94:6, 91:9, 88:12 and 85:15, respectively. Intensities of each fragment from sesame oil by MS-based E-nose were completely different from those of soybean oil or corn oil. The obtained results were used for discriminant function analysis (DFA). Volatile organic components (VOC) of soybean oil or corn oil were similar to those of fresh air and DFA plot indicated a significant separation of pure sesame oil and pure other oil. The group of the mixed oil was seperated with that of sesame oil in DFA plot and the added amount of soybean oil to sesame oil was correlated with discriminant function first score (DF1). MS based E-nose system could be used as an efficient method to investigate the purity of sesame oil.