• Title/Summary/Keyword: 선예측

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압력용기강의 경년열화 평가와 그 대책

  • 권재도
    • Journal of the KSME
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    • v.32 no.4
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    • pp.340-350
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    • 1992
  • 이 글에서는 재료의 경년열화의 종류, 판정 방법 등에 관한 일반사항을 기술하고 고온 . 고압용 기의 경년열화현상의 대표적인 예인 T.E의 기구와 T.E감수성에 미치는 화학성분의 영향에 대해 설명하였다. 아울러 필자가 그 동안 연구해온 T.E에 의한 재료강도저하를 설명하고 수명예측을 행할 수 있는 방법을 설명하였다. 끝으로 열화의 비파괴 판정만으로 수명예측이 어려우므로 시 간에 따른 열화 정도를 파악 할 수 있는 재료강도의 주곡선을 만들어야 할 것이다. 이와 같은 실험을 하기 위해 열화재의 가속제작방법과 열화치료대책 등에 대해 설명하였다. 앞으로 국내 에서는 열화에 대한 재료강도의 주곡선이 많이 얻어져서 기계 구조물의 수명예측이 정확하게 이루어질 날이 올 것을 기대한다.

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Na 원자의 형광 스펙트럼

  • 정종선
    • Proceedings of the Optical Society of Korea Conference
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    • 1990.02a
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    • pp.199-203
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    • 1990
  • 원자와 강력한 빛이 상호작용을 하면 섭동이론으로 취급되지 않는 형광선들이 나타나게 된다. Nd:YAG 레이저로 펌핑된 색소레이저를 열 파이프 오븐에 발생시킨 Na 원자 기체의 D1 및 D2 흡수선에 입사시켜 Na 원자를 공명여기 시켰다. 그결과 빛 싸인 원자 모델에서 예측한 7개의 형광선을 얻었고 이들 형광선에 대한 입사광의 세기 및 detuning에 의한 효과에 대해 논의 검토하였다.

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Radio coverage prediction of RF-CBTC system under transmission power 10mW/MHz at K-AGT test line (경전철시험선에서 송신전력 10mW/MHz에 대한 열차제어용 무선시스템의 전파도달범위 예측)

  • Cho, Bong-Kwan;Jung, Jae-Il
    • Journal of the Korean Society for Railway
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    • v.10 no.5
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    • pp.589-595
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    • 2007
  • Korea Railroad Research Institute has developed the driverless rubber-tired K-AGT (Korean-Automated Guideway Transit) system from 1999 to 2005 and has done its performance and reliability tests on the test line at Gyeongsan-city. Radio Frequency Communication-Based Train Control system of K-AGT, which employed Advanced Automated Train Control scheme, detects train position using the radio propagation delay between wayside and vehicle radio equipment. In this paper, we investigate whether the transmission power of radio system can be reduced to the permitted level announced by the Ministry of Information and Communication for license-free ISM(Industrial Scientific Medical) frequency bands. We first determine radio propagation model, using the measured data at test line, and perform simulation for radio coverage prediction. From the simulation results, we identify that the radio system operated with reduced power can provide good link quality in total test line.

Prediction of Gas Phase Sorption Isotherms on The Basis of QSAR Method (QSAR 방법을 이용한 가스 상태의 등온흡착선 예측)

  • Kim, Jong O
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.11 no.3
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    • pp.11-18
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    • 1991
  • Volatile organic compounds(VOC) present in or generated by many sources, can be toxic, mutagenic or even carcinogenic, so that control of such emissions is significant. The 6 chlorinated organic chemicals as VOC were examined in this study. Prediction of the behavior of VOC on activated carbon beds is an important part of control system design. The objective of this study was to predict gas phase sorption isotherms from physical properties and liquid phase isotherms obtained with the same adsorbent and adsorbate. One of the techniques that was investigated was quantitative structure-activity relationships(QSAR) for the predicition procedures. It was possible to estimate sorption isotherms in the gas phase($a_g$) using either connectivity index, $^2{\chi}$, and the Henry's law coefficient ($H_a$) or the solubility and the equilibrium concentration in the gas phase. As a result of study, the predictive equation based on Freundlich model for $a_g$ was ${\log}\;a_g=0.238\;^2{\chi}+0.573\;{\log}\;H_a+4.330(r^2=0.94)$. Finally, this would provide a potentially useful tool to describe and predict sorption capacity without time-consuming tests.

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Prediction of Centerlane Violation for vehicle in opposite direction using Fuzzy Logic and Interacting Multiple Model (퍼지 논리와 Interacting Multiple Model (IMM)을 통한 잡음환경에서의 맞은편 차량의 중앙선 침범 예측)

  • Kim, Beomseong;Choi, Baehoon;An, Jhonghyen;Lee, Heejin;Kim, Euntai
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.5
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    • pp.444-450
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    • 2013
  • For intelligent vehicle technology, it is very important to recognize the states of around vehicles and assess the collision risk for safety driving of the vehicle. Specifically, it is very fatal the collision with the vehicle coming from opposite direction. In this paper, a centerlane violation prediction method is proposed. Only radar signal based prediction makes lots of false alarm cause of measurement noise and the false alarm can make more danger situation than the non-prediction situation. We proposed the novel prediction method using IMM algorithm and fuzzy logic to increase accuracy and get rid of false positive. Fuzzy logic adjusts the radar signal and the IMM algorithm appropriately. It is verified by the computer simulation that shows stable prediction result and fewer number of false alarm.

Big Data-Based Air Demand Prediction for the Improvement of Airport Terminal Environment in Urban Area (도심권 공항 터미널 환경 개선을 위한 빅 데이터 기반의 항공수요예측)

  • Cho, Him-Chan;Kwag, Dong-gi;Bae, Jeong-hwan
    • Journal of the Korea Convergence Society
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    • v.10 no.8
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    • pp.165-170
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    • 2019
  • According to the statistics of the Ministry of Land Transport and Transportation in 2018, the average annual average number of air traffic users for has increased by 5.07% for domestic flights and 8.84% for international flights. Korea is facing a steady rise in demand from foreign tourists due to the Korean Wave. At the same time, a new lifestyle that values the quality of life of individuals is taking root, along with the emergence of LCC, and Korean tourists' overseas tours are also increasing, so improvement and expansion of domestic airport passenger terminals is urgently needed. it is important to develop a structured airport infrastructure by making efficient and accurate forecasts of aviation demand. in this study, based on the Big Data, long-term domestic and international demand forecasts for urban airports were conducted.. Domestic flights will see a decrease in the number of airport passengers after 2028, and international flights will continue to increase. It is imperative to improve and expand passenger terminals at domestic airports.

Prediction Algorithm of Threshold Violation in Line Utilization using ARIMA model (ARIMA 모델을 이용한 설로 이용률의 임계값 위반 예측 기법)

  • 조강흥;조강홍;안성진;안성진;정진욱
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.8A
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    • pp.1153-1159
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    • 2000
  • This paper applies a seasonal ARIMA model to the timely forecasting in a line utilization and its confidence interval on the base of the past data of the lido utilization that QoS of the network is greatly influenced by and proposes the prediction algorithm of threshold violation in line utilization using the seasonal ARIMA model. We can predict the time of threshold violation in line utilization and provide the confidence based on probability. Also, we have evaluated the validity of the proposed model and estimated the value of a proper threshold and a detection probability, it thus appears that we have maximized the performance of this algorithm.

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Detection of Incidental Prostate Cancer or Urothelial Carcinoma Extension in Urinary Bladder Cancer Patients by Using Multiparametric MRI: A Retrospective Study Using Prostate Imaging Reporting and Data System Version 2.0 (방광암 환자의 다중 매개 자기공명영상에서 우연히 발견된 전립선암 또는 요로상피세포암종의 전립선 침범의 검출: 전립선 이미징 보고 및 데이터 시스템 버전 2.0을 사용한 후향적 연구)

  • Sang Eun Yoon;Byung Chul Kang;Hyun-Hae Cho;Sanghui Park
    • Journal of the Korean Society of Radiology
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    • v.81 no.3
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    • pp.610-619
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    • 2020
  • Purpose The study aimed to investigate the role of Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) in predicting incidental prostate cancer (PCa) or urothelial carcinoma (UCa) extension in urinary bladder (UB) cancer patients. Materials and Methods A total of 72 UB cancer patients who underwent radical cystoprostatectomy and 3 Tesla multiparametric MRI before surgery were enrolled. PI-RADS v2 ratings were assigned by two independent radiologists. All prostate specimens were examined by a single pathologist. We compared the multiparametric MRI findings rated using PI-RADS v2 with the pathologic data. Results Of the 72 UB cancer patients, 29 had incidental PCa (40.3%) and 20 showed UCa extension (27.8%), with an overlap for 3 patients. With a score of 4 as the cut-off value for predicting incidental PCa, the diagnostic accuracy was 65.3%, specificity was 90.7%, and positive predictive value (PPV) was 66.7%. The diagnostic accuracy for incidental UCa extension was 47.2%, specificity was 92.3%, and PPV was 83.3%. Conclusion Despite the low diagnostic accuracy, the PPV and specificity were relatively high. Therefore, PI-RADS v2 scores of 1, 2, or 3 may help exclude the probability of incidental PCa or UCa extension.

Machine Learning-Based Signal Prediction Method for Power Line Communication Systems (전력선 통신 시스템을 위한 머신러닝 기반의 원신호 예측 기법)

  • Sun, Young Ghyu;Sim, Issac;Hong, Seung Gwan;Kim, Jin Young
    • Journal of Satellite, Information and Communications
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    • v.12 no.3
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    • pp.74-79
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    • 2017
  • In this paper, we propose a system model that predicts the original signal transmitted from the transmitter using the received signal in the power line communication system based on the multi - layer perceptron which is one of the machine learning algorithms. Power line communication system using communication system using power network has more noise than communication system using general communication line. It causes a problem that the performance of the power line communication system is degraded. In order to solve this problem, the communication system model proposed in this paper minimizes the influence of noise through original signal prediction and mitigates the performance degradation of the power line communication system. In this paper, we prove that the original signal is predicted by applying the proposed communication system model to the white noise environment.