• Title/Summary/Keyword: Component-based System

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Analysis of Influential Factors on Wax Deposition for Flow Assurance in Subsea Oil Production System (해저 석유생산시스템에서 유동안정성 확보를 위한 왁스집적 영향요소 분석 연구)

  • Jung, Sun-Young;Kang, Pan-Sang;Lim, Jong-Se
    • Journal of Advanced Marine Engineering and Technology
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    • v.39 no.6
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    • pp.662-669
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    • 2015
  • There has been an increased interest in the mitigation of wax deposition because wax, which usually accumulates in subsea oil-production systems, interrupts stable oil production and significantly increases the cost. To guarantee a required oil flow by mitigating wax deposition, we need to obtain a reliable estimation of the wax deposition. In this research, we perform simulations to understand the major mechanisms that lead to wax deposition, namely molecular diffusion, shear stripping reduction, and aging. While the model variables (shear reduction multiplier, wax porosity, wax thermal conductivity, and molecular diffusion multiplier) can be measured experimentally, they have high uncertainty. We perform an analysis of these variables and the amount of water and gas in the multiphase flow to determine these effects on the behavior of wax deposition. Based on the results obtained during this study for a higher wax porosity and molecular diffusion multiplier, we were able to confirm the presence of thicker wax deposits. As the shear reduction multiplier decreased, the thickness of the wax deposits increased. As the amount of water increased, there was also an increase in the amount of wax deposits until 40% water cut and decreased. As the amount of gas increased, the amount of wax deposits increased because of the loss of the light hydrocarbon component in the liquid phase. The results of this study can be utilized to estimate the wax deposition behavior by comparing the experiment (or field) and simulation data.

First-order Wire-wound SQUID Gradiometer System Having Compact Superconductive Connection Structure between SQUID and Pickup Coil (SQUID와 검출코일의 초전도 결합방식이 개선된 1차 권선형 미분계 시스템)

  • Lee, Y.H.;Yu, K.K.;Kim, J.M.;Kwon, H.;Kim, K.;Park, Y.K.
    • Progress in Superconductivity
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    • v.9 no.1
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    • pp.23-28
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    • 2007
  • In order to have a superconductive connection between the wire-wound pickup coil and input coil, typically Nb terminal blocks with screw holes are used. Since this connection structure occupies large volume, large stray pickup area can be generated which can pickup external noise fields. Thus, SQUID and connection block are shielded inside a superconducting tube, and this SQUID module is located at some distance from the distal coil of the gradiometer to minimize the distortion or imbalance of uniform background field due to the superconducting module. To operate this conventional SQUID module, we need a higher liquid He level, resulting in shorter refill interval. To make the fabrication of gradiometers simpler and refill interval longer, we developed a novel method of connecting the pickup coil into the input coil. Gradiometer coil wound of 0.125-mm diameter NbTi wires were glued close to the input coil pads of SQUID. The superconductive connection was made using an ultrasonic bonding of annealed 0.025-mm diameter Nb wires, bonded directly on the surface of NbTi wires where insulation layer was stripped out. The reliability of the superconductive bonding was good enough to sustain several thermal cycling. The stray pickup area due to this connection structure is about $0.1\;mm^2$, much smaller than the typical stray pickup area using the conventional screw block method. By using this compact connection structure, the position of the SQUID sensor is only about 20-30 mm from the distal coil of the gradiometer. Based on this compact module, we fabricated a magnetocardiography system having 61 first-order axial gradiometers, and measured MCG signals. The gradiometers have a coil diameter of 20 mm, and the baseline is 70 mm. The 61 axial gradiometer bobbins were distributed in a hexagonal lattice structure with a sensor interval of 26 mm, measuring $dB_z/dz$ component of magnetocardiography signals.

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Development of comprehensive earthquake loss scenarios for a Greek and a Turkish city: seismic hazard, geotechnical and lifeline aspects

  • Pitilakis, Kyriazis D.;Anastasiadis, Anastasios I.;Kakderi, Kalliopi G.;Manakou, Maria V.;Manou, Dimitra K.;Alexoudi, Maria N.;Fotopoulou, Stavroula D.;Argyroudis, Sotiris A.;Senetakis, Kostas G.
    • Earthquakes and Structures
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    • v.2 no.3
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    • pp.207-232
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    • 2011
  • The development of reliable earthquake mitigation plans and seismic risk management procedures can only be based on the establishment of comprehensive earthquake hazard and loss scenarios. Two cities, Grevena (Greece) and D$\ddot{u}$zce (Turkey), were used as case studies in order to apply a comprehensive methodology for the vulnerability and loss assessment of lifelines. The methodology has the following distinctive phases: detailed inventory, identification of the typology of each component and system, evaluation of the probabilistic seismic hazard, geotechnical zonation, ground response analysis and estimation of the spatial distribution of seismic motion for different seismic scenarios, vulnerability analysis of the exposed elements at risk. Estimating adequate earthquake scenarios for different mean return periods, and selecting appropriate vulnerability functions, expected damages of the water and waste water systems in D$\ddot{u}$zce and of the roadway network and waste water system of Grevena are estimated and discussed; comparisons with observed earthquake damages are also made in the case of D$\ddot{u}$zce, proving the reliability and the efficiency of the proposed methodology. The results of the present study constitute a sound basis for the development of efficient loss scenarios for lifelines and infrastructure facilities in seismic prone areas. The first part of this paper, concerning the estimation of the seismic ground motions, has been utilized in the companion paper by Kappos et al. (2010) in the same journal.

Developments of Evaluation System for Qualitative Performance Measurement in Government-Supported Research Institute by Article Citation Method (피인용 특성 분석을 통한 출연(연) 임무중심형 기관평가의 질적 성과평가 개선 방향)

  • Lee, Moon Young;Yi, Chan Goo
    • Journal of Korea Technology Innovation Society
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    • v.19 no.4
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    • pp.768-798
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    • 2016
  • This study started from the awareness of the issue if the citation index newly introduced to evaluate the quality of papers satisfies the proper timing matter, which is a component of performance indicators for the evaluation of government-funded R&D institutes. Accordingly, the study will propose improvement ways to shift the previous evaluation system to quality evaluation for mission-oriented R&D institutes by analysing and using the periodical characteristics such as citation half-life and immediacy index of papers. As a result, it turned out that the speed of academic change is getting faster in proportion to the dependency on the technological development but that the citation speed in the field of public technology is relatively slower and the speed of knowledge transfer in the fields related to industry is faster. In addition, the citation index among the R&D fields showed no differences, and the minimum period for citation index measurement with validity should be over 6 years. The problems of evaluation for mission-oriented R&D institutes were deducted based on the technical and statistical analysis results of the temporal characteristic of citation necessary for quality evaluation of performance among R&D fields. To solve the problems, policy alternatives for object and valid quality evaluation were proposed from the points of evaluation period and evaluation criteria.

Design of Automatic Classification System of Black Plastics Based on Support Vector Machine Using Raman Spectroscopy (라만분광법을 이용한 SVM 기반 흑색 플라스틱 자동 분류 시스템의 설계)

  • Bae, Jong-Soo;Oh, Sung-Kwun;Kim, Hyun-Ki
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.5
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    • pp.416-422
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    • 2016
  • Lots of plastics are widely used in a variety of industrial field. And the amount of plastic waste is massively produced. In the study of waste recycling, it is emerged as an important issue to prevent the waste of potentially useful resource materials as well as to reduce ecological damage. So, the recycling of plastic waste has been currently paid attention to from the view point of reuse. Existing automatic sorting system consist of near infrared ray (NIR) sensors to classify the types of plastics. But the classification of black plastics still remains a challenge. Black plastics which contains carbon black are not almost classified by NIR because of the characteristic of the light absorption of black plastics. This study is focused on handling how to identify black plastics instead of NIR. Raman spectroscopy is used to get qualitative as well as quantitative analysis of black plastics. In order to improve the performance of identification, Support Vector Machine(SVM) classifier and Principal Component Analysis(PCA) are exploited to more preferably classify some kinds of the black plastics, and to analyze the characteristic of each data.

VRIFA: A Prediction and Nonlinear SVM Visualization Tool using LRBF kernel and Nomogram (VRIFA: LRBF 커널과 Nomogram을 이용한 예측 및 비선형 SVM 시각화도구)

  • Kim, Sung-Chul;Yu, Hwan-Jo
    • Journal of Korea Multimedia Society
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    • v.13 no.5
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    • pp.722-729
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    • 2010
  • Prediction problems are widely used in medical domains. For example, computer aided diagnosis or prognosis is a key component in a CDSS (Clinical Decision Support System). SVMs with nonlinear kernels like RBF kernels, have shown superior accuracy in prediction problems. However, they are not preferred by physicians for medical prediction problems because nonlinear SVMs are difficult to visualize, thus it is hard to provide intuitive interpretation of prediction results to physicians. Nomogram was proposed to visualize SVM classification models. However, it cannot visualize nonlinear SVM models. Localized Radial Basis Function (LRBF) was proposed which shows comparable accuracy as the RBF kernel while the LRBF kernel is easier to interpret since it can be linearly decomposed. This paper presents a new tool named VRIFA, which integrates the nomogram and LRBF kernel to provide users with an interactive visualization of nonlinear SVM models, VRIFA visualizes the internal structure of nonlinear SVM models showing the effect of each feature, the magnitude of the effect, and the change at the prediction output. VRIFA also performs nomogram-based feature selection while training a model in order to remove noise or redundant features and improve the prediction accuracy. The area under the ROC curve (AUC) can be used to evaluate the prediction result when the data set is highly imbalanced. The tool can be used by biomedical researchers for computer-aided diagnosis and risk factor analysis for diseases.

Practical Investigation for Internet Airborne Video Map Focused on Vector Shaped Objects (벡터형 공간객체 중심의 인터넷 원격 동영상 지도 서비스에 대한 실증적 고찰)

  • Um, Jung-Sup;Lee, Bo-Mi
    • Journal of the Korean Association of Geographic Information Studies
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    • v.6 no.2
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    • pp.46-64
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    • 2003
  • The vector shaped object is generally very long (hundreds or thousands of kilometers) and very narrow (10-100 meters). Image mapping techniques and tools for these objects should be totally different from the traditional area-based targets. Acknowledging these unique characteristics of the vector shaped object, a motion picture mapping system has been developed by combining internet GIS technology with airborne video. In particular, integration between airborne video and digital maps took advantage of each component, and enabled the landscape structure to be visualized, interacted with and deployed all on the Web. The motion picture maps provided a completely new means for disseminating information for area-wide landscape in a visual and interactive manner to the general public while digital map with location information revealed successfully the major parameters that influence an area-wide spatial structure in the study area. The remote video approach breaks down the usual concept of image mapping in a conventional cartography. As a result, the research findings have established the new concept of 'internet airborne video mapping for vector shaped object', proposed as an initial aim of this paper. It would playa crucial role in improving the quality of public information service if the mapping system is operationally introduced into the Government since the highly user-friendly moving picture provides a completely new means for disseminating spatia) information for vector shaped object.

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Establishing the Concept of Buffer for a High-level Radioactive Waste Repository: An Approach (고준위폐기물처분장의 완충재 개념 도출: 접근방안)

  • Lee, Jae Owan;Lee, Minsoo;Choi, Heuijoo
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.13 no.4
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    • pp.283-293
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    • 2015
  • The buffer is a key component of the engineered barrier system in a high-level radioactive waste (HLW) repository. The present study reviewed the requirements and functional criteria of the buffer reported in literature, and also based on the results, proposed an approach to establish a buffer concept which is applicable to an HLW repository in Korea. The hydraulic conductivity, radionuclide-retarding capacity (equilibrium distribution coefficient and diffusion coefficient), swelling pressure, thermal conductivity, mechanical properties, organic carbon content, and illitization rate were considered as major technical parameters for the functional criteria of the buffer. Domestic bentonite (Ca-bentonite) and, as an alternative, MX-80 (Na-bentonite) were proposed for the buffer of an HLW repository in Korea. The technical specifications for those proposed bentonites were set to parameter values that conservatively satisfy Korea's functional criteria for the Ca-bentonite and Swedish criteria for the Na-bentonite. The thickness of the buffer was determined by evaluating the means of shear behavior, radionuclide release, and heat conduction, which resulted in the proper buffer thickness of 0.25 to 0.5 m. However, the final thickness of the buffer should be determined by considering coupled thermal-hydraulic-mechanical evaluation and economics and engineering aspects as well.

A Study on the Physical Properties of Natural Mineral Pigments Used in Restoration and Conservation of Cultural Asset - Focusing on Seokcheong (문화재 보존 및 복원에 사용되는 천연 광물성안료의 물성평가 - 석청(石靑)중심으로)

  • Park, Ju-Hyun;Jeong, Hye-Yeong;Go, In-Hee;Jeong, Sir-Lin;Jo, A-Hyeon
    • 보존과학연구
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    • s.36
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    • pp.11-32
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    • 2015
  • The purpose of this study is to analyse the properties of natural mineral pigments used in restoration and conservation of cultural assets. For this study blue-based pigments that are sold in market were selected. The component analysis using by XRF and XRD shows that blue pigment consist of Azurite. And each specimens were evaluated particle size, chromaticity, specific gravity and oil-absorption according to rating system of pigments particle size. Results show that the value of L* increase with the decrease in particle size. The results suggest that the physical properties which is specific gravity, oil-absorption and chromaticity depend on the particle sizes of pigments. When it comes to particle size of pigments decreased by increasing the number of rating system. In addition, the chromaticity related to particle size. The result from this study expects to be used as useful referencing data for conservation and restoration of cultural heritage and understanding phenomena of the properties according to various particle size of Seokcheong pigment.

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Speaker-Independent Korean Digit Recognition Using HCNN with Weighted Distance Measure (가중 거리 개념이 도입된 HCNN을 이용한 화자 독립 숫자음 인식에 관한 연구)

  • 김도석;이수영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.10
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    • pp.1422-1432
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    • 1993
  • Nonlinear mapping function of the HCNN( Hidden Control Neural Network ) can change over time to model the temporal variability of a speech signal by combining the nonlinear prediction of conventional neural networks with the segmentation capability of HMM. We have two things in this paper. first, we showed that the performance of the HCNN is better than that of HMM. Second, the HCNN with its prediction error measure given by weighted distance is proposed to use suitable distance measure for the HCNN, and then we showed that the superiority of the proposed system for speaker-independent speech recognition tasks. Weighted distance considers the differences between the variances of each component of the feature vector extraced from the speech data. Speaker-independent Korean digit recognition experiment showed that the recognition rate of 95%was obtained for the HCNN with Euclidean distance. This result is 1.28% higher than HMM, and shows that the HCNN which models the dynamical system is superior to HMM which is based on the statistical restrictions. And we obtained 97.35% for the HCNN with weighted distance, which is 2.35% better than the HCNN with Euclidean distance. The reason why the HCNN with weighted distance shows better performance is as follows : it reduces the variations of the recognition error rate over different speakers by increasing the recognition rate for the speakers who have many misclassified utterances. So we can conclude that the HCNN with weighted distance is more suit-able for speaker-independent speech recognition tasks.

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