• Title/Summary/Keyword: Hot-Data

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An Analysis of Hot-Rolling in the Twin-Roll Strip Casting Process by using the Slab Method (슬랩법을 이용한 쌍롤식 박판주조 공정의 열간 압연 해석)

  • Shim, Hyun-Bo
    • Transactions of Materials Processing
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    • v.3 no.1
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    • pp.63-83
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    • 1994
  • In this paper, the slab method have been applied to investigate the strip casting process in which hot coil is produced from molten steel directly. In the twin roll strip casting process, molten steel supplied by the nozzle cools and solidifies due to the heat extraction effect of the rolls and hot rolling of the solidified shell takes place simultaneously. The analysis of hot rolling has been carried out by using the existing results of solidification analysis for the twin roll strip casting process. The current slab method provides basic design data such as roll separation force, rolling torque, rolling power as well as end dam separation force which are required to design strip caster. The effect of friction on the basic process parameters are investigated also. It is shown that the use of appropriate friction coefficient is important and that the characteristics of hot rolling in the twin-roll strip casting process is quite different from the conventional hot rolling processes.

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The Distribution of Geothermal Gradient at Icheon Hot Spring Area (이천온천의 지하온도 분포)

  • Lee, Chol-Woo
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.05a
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    • pp.621-625
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    • 2008
  • There are nine hot spring wells at Icheon hot spring area, hot springs are pumped by submersible motor. Drilling depths of hot spring wells is about 166-294 m, piezometric heads of hot springs is about 50 m below the surface. The geothermal gradient of SB-2 is about $64.00^{\circ}C$/km from the surface to depth within 300 m which is the highest value, that of SB-1 is about $45^{\circ}C$/km which is the lowest value. In addition, the average geothermal gradient of the region is calculated at approximately $54.28^{\circ}C$/km. However, it is analysed that this area has highly irregular temperature distribution because the groundwater penetrated to the depth of 720 m through the fracture rise to the surface according to the results of the data after drilling well to the depth of 996 m.

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Estimation model of reasonable amount of domestic cold water and hot water supplies in apartment houses (공동주택의 적정 급수.급탕량 산정 모델)

  • 김성남;하태웅
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.11 no.6
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    • pp.758-765
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    • 1999
  • The estimation of reasonable amount of domestic cold water and hot water supplies in apartment houses is very important for the economical design of domestic cold water and hot water supply system which include pumps, boilers, heat exchangers, and various water reservoirs. To suggest the model of predicting reasonable amount of domestic cold water and hot water supplies, residents and actual domestic cold water and hot water consumption have been investigated for 740 apartment houses in Seoul and Bun-Dang, Kyunggi-Do. The model is suggested as a function of exclusive area of the apartment house and results of the model show generally good agreement with published data.

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An Empirical Study on Visiters' Motivation for Hot Spring Resorts (온천관광지의 이용동기에 관한 연구)

  • 고동완;이진희;김유일
    • Journal of the Korean Institute of Landscape Architecture
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    • v.22 no.4
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    • pp.161-176
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    • 1995
  • Leisure motivation is an important concept in the study of leisure behavior. The purpose of this study was to examine visitors' motivations for hot spring resorts in Korea. The data were collected by questionnaires survey in three hot spring resorts in 1994:Suanbo, Paikam, and Chuksan. The findings of this study are summarized as follows: The eight motivation factors extracted by factor analysis such as; 1)"intellectual needs", 2)'escaping everyday life', 3)'closing nature', 4)'recognition or status', 5)'interaction with others', 6)'health', 7)'family vacation', 8)'hot spring bathing'. The three resorts showed significant deferences in the motivation of visitors. Visitors of Suanbo have high motivation for 'intellectual needs', 'interaction with others', and 'thealth', and visitors of Chuksan for 'closing nature', 'family vacation', and 'hot spring bathing'. This study has proved first, psychological(pushing) factors are more important than pulling factors of resorts, second, in pulling factors, natural sceneries were more important than medicinal properties of the hot springs. And this study found several important implications for predicting visitors' demand in hot spring resorts.

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Electrical instabilities in p-channel polysilicon TFTs: role of hot carrier and self-heating effects

  • Fortunato, G.;Gaucci, P.;Mariucci, L.;Pecora, A.;Valletta, A.
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08b
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    • pp.1065-1070
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    • 2007
  • The effects of hot carriers and self-heating on the electrical stability of p-channel TFTs have been analysed combining experimental data and numerical simulations. While hot carrier effects were shown not to induce appreciable degradation, self-heating related instability was found to more seriously affect the device characteristics. New models have been developed to explain the reported results.

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Continuous Surveillance and Diagnostics System Using Neural Network (인공 신경 회로망을 이용한 핵물질 거동 감시 시스템 개발)

  • 최재형;한명철;박영수;김호동;홍종숙
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.1182-1185
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    • 1995
  • This paper presents a novel technology for unattented continuous monitoring of radioactive material in hot cell environments. In this monitoring system, the surveillance camera data and NDA data are time synchronized and integrated into the same dimension through data processing. The integrated information is then fed into a neural network to generate diagnostics through data processing. the integrated information of the concept is tested for a spent nuclear fuel transprotation in an operational hot cell at KAERI. The presented integral part of the multi-sensory system and the analytical paradigm may provide an effective technologyical alternative for safeguarding new conceptual hot cell facilities, namely the Dupic facility.

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A Study on the Perception of Asan Hot Springs Utilization Post-Corona Pandemic (코로나 팬데믹 이후의 아산 온천 이용 선호도에 관한 연구)

  • Jong-Min Woo
    • Journal of The Korean Society of Integrative Medicine
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    • v.11 no.4
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    • pp.189-198
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    • 2023
  • Purpose: This study aims to investigate the preferences of hot spring users regarding the utilization of Asan's hot springs after the COVID-19 pandemic. Methods: A survey was conducted on 340 hot spring users visiting hot spring resorts in the Onyang, Dogo, and Asan hot spring districts. The survey was conducted twice from November 5th to November 7th, 2021, and from May 25th to 26th, 2022. The survey included general questions, such as the frequency of hot spring usage, the purpose of visits, and the intention for future visits. Specific questions were related to Asan hot springs, focusing on the reasons for choosing Asan, its perceived advantages, and improvement suggestions. Results: The survey revealed that the average number of visits to hot springs was less than five in the past five years, and the main reason for visiting was to recover from fatigue. A percentage of respondents said they would use hot springs more often when the COVID-19 pandemic ends. When asked about their reasons for visiting Asan hot springs, responses varied by age. However, across all groups, the majority considered "good water" as an advantage of Asan hot springs, while improvements to "hot spring facilities" was the highest response among all age groups. Thus, despite the decline in the number of customers due to COVID-19, the overall perception of hot springs remains positive. This suggests a promising future for the hot spring industry, with the potential for a return to pre-pandemic usage levels. Conclusion: These results provide valuable foundational data for informing policy development aimed at revitalizing the hot spring industry in the post-COVID-19 era.

Automatic Augmentation Technique of an Autoencoder-based Numerical Training Data (오토인코더 기반 수치형 학습데이터의 자동 증강 기법)

  • Jeong, Ju-Eun;Kim, Han-Joon;Chun, Jong-Hoon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.5
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    • pp.75-86
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    • 2022
  • This study aims to solve the problem of class imbalance in numerical data by using a deep learning-based Variational AutoEncoder and to improve the performance of the learning model by augmenting the learning data. We propose 'D-VAE' to artificially increase the number of records for a given table data. The main features of the proposed technique go through discretization and feature selection in the preprocessing process to optimize the data. In the discretization process, K-means are applied and grouped, and then converted into one-hot vectors by one-hot encoding technique. Subsequently, for memory efficiency, sample data are generated with Variational AutoEncoder using only features that help predict with RFECV among feature selection techniques. To verify the performance of the proposed model, we demonstrate its validity by conducting experiments by data augmentation ratio.

Densification Behavior of Ti-6Al-4V Power Compacts by Hot Isostatic Pressing (열간 등가압 소결에 의한 Ti-6Al-4V 분말의 치밀화 거동)

  • Yang, Hun-Cheol;Kim, Gi-Tae
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.24 no.2 s.173
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    • pp.394-402
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    • 2000
  • Densification behavior of titanium alloy powder was investigated under hot isostatic pressing at various pressures and temperatures. Uniaxial creep responses of a dense specimen were also obtained at high temperatures. The densification model of Abouaf and co-workers was implemented into a Finite element program (ABAQUS) to compare with experimental data for titanium alloy powder. The agreements between finite element calculations and experimental data for deformation and densification of titanium alloy powder were good during hot isostatic pressing.

Framework Development for Fault Prediction in Hot Rolling Mill System (열간 압연 설비의 고장 예지를 위한 프레임워크 구축)

  • Son, J.D.;Yang, B.S.;Park, S.H.
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.21 no.3
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    • pp.199-205
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    • 2011
  • This paper proposes a framework to predict the mechanical fault of hot rolling mill system (HRMS). The optimum process of HRMS is usually identified by the rotating velocity of working roll. Therefore, observing the velocity of working roll is relevant to early know the HRMS condition. In this paper, we propose the framework which consists of two methods namely spectrum matrix which related to case-based fast Fourier transform(FFT) analysis, and three dimensional condition monitoring based on novel visualization. Validation of the proposed method has been conducted using vibration data acquired from HRMS by accelerometer sensors. The acquired data was also tested by developed software referred as hot rolling mill facility analysis module. The result is plausible and promising, and the developed software will be enhanced to be capable in prediction of remaining useful life of HRMS.