• Title/Summary/Keyword: 인공열

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Seasonal Effects of Livestock Wastewater Treatment by a Constructed Wetland (인공습지에 의한 축산폐수의 처리시 계절적 영향)

  • Park, Jae-Hong;Kwon, Soo-Youl
    • Journal of Wetlands Research
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    • v.7 no.3
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    • pp.33-39
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    • 2005
  • Constructed wetlands are considered as an important tool for wastewater treatment, wastewater management and flooding control. In addition, one of the most promising technologies for application in many countries seems to be constructed wetlands due to their properties such as utilization of natural processes, simple construction, operation and maintenance, process stability, cost effectiveness, etc. This research is performed to find the possibility for treating livestock wastewater using a constructed wetland. The removal efficiencies of CODcr, TN, TP, SS, and color were 97.9%, 97.8%, 97.2%, 99.1%, and 84.9%, respectively. In particular, SS was completely removed. In conclusion, constructed wetlands could be applied to livestock wastewater treatment. Further, it needs time for stabilization to reduce the pollutants accumulated in soil.

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Thermal Vacuum Test of Kaistsat-4 Qm (과학위성 1호 인증모델 열진공 시험)

  • Kim, Do-Hyeong;Jeong, Yeon-Hwang;Tak, Gyeong-Mo;Lee, Jun-Ho;Cha, Won-Ho;Lee, Sang-Hyeon;Choe, Seok-Won;Mun, Gwi-Won
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.31 no.1
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    • pp.120-124
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    • 2003
  • KAISTSAT- 4, an experimental small satellite, is being developd by Satellite Technology Research Center in KAIST as a sequel mission to KITSAT-1, 2, and 3. The flight model scheduled to be launched in 2003, the qualification model construction and testing have been completed recently. The satellite subsystems of the qualification model have been tested under a thermal vacuum environment harsher than expected in the orbit. Thermal balance test has also been done in order to evaluate and tune the thermal analysis model of the qualification model. This paper describes the thermal vacuum test procedure, the results, as well as the lessons learned during the tests, which can be useful for future thermal vacuum tests of small satellites.

Artificial Neural Network-based Thermal Environment Prediction Model for Energy Saving of Data Center Cooling Systems (데이터센터 냉각 시스템의 에너지 절약을 위한 인공신경망 기반 열환경 예측 모델)

  • Chae-Young Lim;Chae-Eun Yeo;Seong-Yool Ahn;Sang-Hyun Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.883-888
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    • 2023
  • Since data centers are places that provide IT services 24 hours a day, 365 days a year, data center power consumption is expected to increase to approximately 10% by 2030, and the introduction of high-density IT equipment will gradually increase. In order to ensure the stable operation of IT equipment, various types of research are required to conserve energy in cooling and improve energy management. This study proposes the following process for energy saving in data centers. We conducted CFD modeling of the data center, proposed an artificial intelligence-based thermal environment prediction model, compared actual measured data, the predicted model, and the CFD results, and finally evaluated the data center's thermal management performance. It can be seen that the predicted values of RCI, RTI, and PUE are also similar according to the normalization used in the normalization method. Therefore, it is judged that the algorithm proposed in this study can be applied and provided as a thermal environment prediction model applied to data centers.

Learning of Artificial Neural Networks about the Prosody of Korean Sentences. (인공 신경망의 한국어 운율 학습)

  • Shin Dong-Yup;Min Kyung-Joong;Lim Un-Cheon
    • Proceedings of the Acoustical Society of Korea Conference
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    • autumn
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    • pp.121-124
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    • 2001
  • 음성 합성기의 합성음의 자연감을 높이기 위해 자연음에 내재하는 정확한 운율 법칙을 구하여 음성합성 시스템에서 이를 구현해 주어야 한다 무제한 어휘 음성합성 시스템의 문-음성 합성기에서 필요한 운율 법칙은 언어학적 정보를 이용해 구하거나, 자연음에서 추출하고 있다 그러나 추출한 운율 법칙이 자연음에 내재하는 모든 운율 법칙을 반영하지 못했거나, 잘못 구현되는 경우에는 합성음의 자연성이 떨어지게 된다. 이런 점을 고려하여 본 논문에서는 한국어 자연음을 분석하여 추출한 운율 정보를 인공 신경망이 학습하도록 하고 훈련을 마친 인공 신경망에 문장을 입력하고, 출력으로 나오는 운율 정보와 자연음의 운율 정보를 비교한 결과 제안한 인공 신경망이 자연음에 내재하고 있는 운율을 학습할 수 있음을 알 수 있었다. 운율의 3대 요소는 피치 , 지속시간, 크기의 변화이다. 제안한 인공 신경망이 한국어 문장의 음소 열을 입력으로 받아들이고, 각 음소의 지속시간에 따른 피치변화와 크기 변화를 출력으로 내보내면 자연음을 분석해 구한 각 음소의 운율 정보인 목표 패턴과 출력 패턴 의 오차를 최소화하도록 인공 신경망의 가중치를 조절할 수 있도록 설계하였다. 지속시간에 따른 각 음소의 피치와 크기 변화를 학습시키기 위해 피치 및 크기 인공 신경망을 구성하였다. 이들 인공 신경망을 훈련시키기 위해 먼저 음소 균형 문장 군을 구축하여야 하고, 이들 언어 자료를 특정 화자가 일정 환경에서 읽고 이를 녹음하여 , 분석하여 구한운율 정보를 운율 데이터베이스로 구축하였다. 문장 내의 각 음소에 대해 지속 시간과 피치 변화 그리고 크기 변화를 구하고, 곡선 적응 방법을 이용하여 각 변화 곡선에 대한 다항식 계수와 초기 값을 구해 운율 데이터베이스를 구축한다. 이 운율 데이터베이스의 일부는 인공 신경망을 훈련시키는데 이용하고, 나머지로 인공 신경망의 성능을 평가하여 인공 신경망이 운율 법칙을 학습할 수 있었다. 언어 자료의 문장 수를 늘리고 발음 횟수를 늘려 운율 데이터베이스를 확장하면 인공 신경망의 성능을 높일 수 있고, 문장 내의 음소의 수를 감안하여 인공 신경망의 입력 단자의 수는 계산량과 초분절 요인을 감안하여 결정해야 할 것이다

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The Effectiveness Evaluation of Reconstruction Method Using DFOV Position Changes for Reduction of Artifact Around Hotspot in PET/CT Images (PET/CT 검사에서 열소 주변 인공물 감소를 위한 DFOV 위치 변화 재구성 방법의 유용성 평가)

  • Han, Dong Chan;Hong, Gun Chul;Choi, Choon ki;Lee, Hyeok;Choi, Seong Wook
    • The Korean Journal of Nuclear Medicine Technology
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    • v.17 no.2
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    • pp.90-94
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    • 2013
  • Purpose: In the PET/CT images, various artifacts cause degradation of the quantitative assessment. Most hotspot generated by radiopharmaceutical injection errors cause an artifact and degrade the quality of the images as well as the accuracy of the quantitative evaluation. The purpose of this study is to assess effectiveness of the elimination of the hotspot at the injection sites using shifting the center of DFOV (Display Field of View, DFOV) method and evaluate the quantitative evaluation of result. Materials and Methods: GE Discovery STE 16 (GE Healthcare, Milwaukee, USA) and 1994 NEMA phantom were used for imaging acquisition. Phantom was filled with 0.005 MBq/mL of $^{18}F-FDG$. A hotspot was artificially placed on the outside of the phantom. The ratio of hotspot area activity to background area activity was regulated as 200:1. After image acquisition with routine protocol, all of the images were reconstructed using the shifting the center of DFOV method that wasn't overlapped with hotspot. Those images obtained before and after applying the shifting reconstruction method were compared. ROIs (Region Of Interests) were set in the hotspot areas, meanSUVs and standard deviations were calculated. Percentage differences were calculated with those meanSUVs and standard deviations. The evaluation on the effects of the shifting reconstruction method was done by comparison of the meanSUVs and the standard deviations, which were calculated for background areas unaffected by hotspot. Results: In the areas of unaffected by hotspot, meanSUVs before and after applying the shifting of center of DFOV method were $0.67{\pm}0.06g/mL$ and $0.65{\pm}0.06g/mL$, respectively. In the artifact areas affected by hotspot, meanSUVs before and after applying the shifting of center of DFOV method were $0.32{\pm}0.08g/mL$ and $0.56{\pm}0.12g/mL$, respectively. The percentage differences of the area adjacent to the hotspot and the area distant from the hotspot were 65.3% and 97.4%, respectively. Conclusion: In the PET/CT images, meanSUV was improved by 32.1% when the effect of artifact was removed with application of the shifting the center of DFOV methode. In other areas unaffected by artifacts, meanSUVs were not significantly different after applying DFOV center shift method. As shown in the result, adverse effects of hotspot made by swelling in the injection site can be reduced by applying DFOV center shift method. Therefore, DFOV center shift method can be applied for the more precise quantitative evaluation, and contribute to the increase of the diagnostic value of the images.

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위성 추진시스템의 열적 거동 비교 연구

  • 한조영;김정수;이균호;김병교
    • Bulletin of the Korean Space Science Society
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    • 2003.10a
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    • pp.66-66
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    • 2003
  • 우주 공간이라는 극한 상황에서 운용되는 인공위성을 개발하기 위해서는 실제 제작 공간인 지상에서 가능한 모든 우주 공간에서의 위험을 예측하여 원하지 않는 재난을 방지할 수 있는 설계를 수행함이 요망된다. 위성의 기동 및 자세 제어에 사용되는 하이 드라진 추진시스템의 경우 예상되는 가장 큰 재난은 추진제의 동결로 인한 추진시스템의 작동 불능이다. 본 연구에서는 추진시스템의 안정적 작동을 위해 요구되는 추진제의 동결 방지를 위해 사용되는 히터 사양을 결정하며 이를 위해 위성 추진시스템의 열ㆍ수학적 모델을 개발한다. 개발된 열ㆍ수학적 모델의 타당성을 검증하기 위해 수치적으로 계산된 결과를 열진공 시험의 결과와 비교 연구한다 이론적 해석 모델과 열진공 시험조건 사이의 다소의 불일치성에도 불구하고 두 결과는 정성적으로 잘 부합된다. 따라서 본 연구를 통해 위성 추진시스템의 히터가 적절히 설계되었으며 개발된 열ㆍ수학적 모델은 인공위성 추진시스템의 주요한 설계 수단으로 사용될 수 있음을 검증한다.

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The Effect of the Artificial Ground on Building Thermal Environment (인공지반이 건물 열환경에 미치는 효과에 관한 연구)

  • Hwang, Hyo-Keun;Lim, Jong-Yeon;Ryu, Min-Kyung;Song, Doo-Sam
    • 한국태양에너지학회:학술대회논문집
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    • 2009.04a
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    • pp.170-175
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    • 2009
  • Apartment housing block has been spreaded according to rapid economic development and urbanization in Korea. A parking lot is located at underground, artificial ground is inevitably created in apartment housing block. Artificial ground creates different thermal environment compared to natural ground, because the composition and coverage of artificial ground are diverse. In this study, the effect of the artificial ground on building thermal environment will be disscussed by simulation. Considering the result of simulation, surface albedo is more important for building energy performance. A purpose of this study is to examine how the characteristic of surface effect to thermal environment, and to develop design method for sustainable outdoor space.

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Evaluation of Thermal Embrittlement Susceptibility in Cast Austenitic Stainless Steel Using Artificial Neural Network (인공신경망을 이용한 주조 스테인리스강의 열취화 민감도 평가)

  • Kim, Cheol;Park, Heung-Bae;Jin, Tae-Eun;Jeong, Ill-Seok
    • Proceedings of the KSME Conference
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    • 2003.11a
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    • pp.1174-1179
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    • 2003
  • Cast austenitic stainless steel is used for several components, such as primary coolant piping, elbow, pump casing and valve bodies in light water reactors. These components are subject to thermal aging at the reactor operating temperature. Thermal aging results in spinodal decomposition of the delta-ferrite leading to increased strength and decreased toughness. This study shows that ferrite content can be predicted by use of the artificial neural network. The neural network has trained learning data of chemical components and ferrite contents using backpropagation learning process. The predicted results of the ferrite content using trained neural network are in good agreement with experimental ones.

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A Neural-like Algorithm to Compute One-Sided Inverse of III-Conditioned Matrices (III-Conditioned 정방행렬의 단측 역행렬 산출용 유사 인공신경망 알고리듬)

  • 문병수;양성운;김영택
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10c
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    • pp.321-323
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    • 1998
  • 이 논문에서는 크기가 큰 III-Conditioned Matrices 정방행렬의 좌측 또는 우측 역행렬 계산시 계산상의 정확도를 향상시키는 알고리듬에 대하여 기술한다. 이 알고리듬은 대상 행렬의 행벡터들을 Input으로 하고 해당 Input 벡터가 몇번째 행 벡터인지를 나타내는 단위 벡터를 Target 벡터로 하며 초기 Weight 값으로 Pivoting을 겸한 Gauss소거법을 적용하여 얻은 역행렬을 사용하는 Single Layer 인공신경망에 적용하는 역전파 알고리듬과 흡사한 것이다. 각각의 Input 행 벡터에 대하여 역행렬의 열 벡터들이 점진적으로 직교가 되거나 평행이 되도록 근접시키므로써 모든 Input 행 벡터들이 열벡터들에 비교적 균일하게 직교 또는 평행이 되도록 학습시키는 알고리듬이다.

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Study on Evaluation Analysis on Thermal Performance of Window Using A. S. Lab.(Artificial Solar Laboratory) (인공태양실험실(A. S. Lab.)을 활용한 창호의 열성능 평가에 관한 연구)

  • Kang, Ki-Nam;Lee, Keon-Ho
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.22 no.11
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    • pp.812-819
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    • 2010
  • Recently residential buildings are characterized with high-rise and high density. Under this circumstance, achieving comfortable and healthy indoor environment with minimized energy consumption becomes a very challenging engineering and societal issue. Along this the increased size and transparency of window as well as light surface caused by high stories lowers the heat shield efficiency of building. Since glass that constitutes building surface has low heat efficiency, it aggravates heat loss of all building considerably, thereby resulting in extreme heating load and cooling load in the country where temperature varies much in summer and winter. The research will check whether experiment can be effectively done by overcoming the limit of existing artificial solar laboratory constructed in the country and properly adjusting controlled variables with simplified function through construction of this experimental set.