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Evaluation of Heavy Rainfall Model Forecasts over the Korean Peninsula Using Different Physical Parameterization Schemes and Horizontal Resolution

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Advances in Atmospheric Sciences 2011年第6期28卷 1233-1245页

作者： jeong-Gyun PARK Dong-Kyou LEE Atmospheric Sciences Program School of Earth and Environmental Sciences Seoul National University Seoul 151-747 Korea

In this study, the accuracy of a Pennsylvania State University–National Center for Atmospheric Research mesoscale model （PSU/NCAR MM5） for predicting heavy summer precipitation over the Korean Peninsula was investigated. A total of 1800 simulations were performed using this model for 30 heavy rainfall events employing four cumulus parameterization schemes （CPS）, two grid-scale resolvable precipitation schemes （GRS）, and two planetary boundary layer （PBL） schemes in three model resolutions （90 km, 30 km, and 10 km）. The heavy rainfall events were mesoscale convective systems developed under the influence of mid-latitude baroclinic systems with low-level moisture transport from the ocean. The predictive accuracy for maximum rainfall was approximately 80% for 10-km resolution and was 60% for 30-km resolution. The predictive accuracy for rainfall position extended to ～150 km from the observed position for both resolutions. Simulated rainfall was most sensitive to CPS, then to PBL schemes, and then to GRS. In general, the Grell （GR） scheme and the Anthes and Kuo （AK） scheme showed a better prediction capability for heavy rainfall than did the Betts-Miller （BM） scheme and the Kain-Fritsch （KF） scheme. The GR scheme also performed well in the 24-h and 12-h precipitation predictions： the parameterized convective rainfall in GR is directly related to synoptic-scale forcing. The models without CPS performed better for rainfall amounts but worse for rainfall position than those with CPS. The MM5 model demonstrated substantial predictive capacity using synoptic-scale initial conditions and lateral boundary data because heavy summer rainfall in Korea occurs in a strong synoptic-scale environment.

关键词： heavy rainfall mesoscale convection mesoscale model evaluation convective parameterization

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Genetic algorithm tuned PI controller on PMSM simplified vector control

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Journal of Central South University 2013年第11期20卷 3042-3048页

作者： WIBOWO Wahyu Kunto jeong Seok-kwon Mechatronics Engineering Pukyong National University Refrigeration and Air-Conditioning Engineering Pukyong National University

A simple control structure in servo system is occasionally needed for simple industrial application which precise and high control performance is not exessively important so that the cost production can be reduced efficiently. Simplified vector control, which has simple control structure, is utilized as the permanent magnet synchronous motor control algorithm and genetic algorithm is used to tune three PI controllers used in simplified vector control. The control performance is obtained from simulation and investigated to verify the feasibility of the algorithm to be applied in the real application. Simulation results show that the speed and torque responses of the system in both continuous time and discrete time can achieve good performances. Furthermore, simplified vector control combined with genetic algorithm has a similar perfofmance with conventional field oriented control algorithm and possible to be realized into the real simple application in the future.

关键词： simplified vector control conventional field oriented control permanent magnet synchronous motor genetic algorithm PI controller

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Multi-View Multi-Modal Head-Gaze Estimation for Advanced Indoor User Interaction

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Computers, Materials & Continua 2022年第3期70卷 5107-5132页

作者： Jung-Hwa Kim Jin-Woo jeong Department of Computer Engineering Kumoh National Institute of TechnologyGumi39177Korea Department of Data Science Seoul National University of Science and TechnologySeoul01811Kore

Gaze estimation is one of the most promising technologies for supporting indoor monitoring and interaction ***,previous gaze estimation techniques generally work only in a controlled laboratory environment because they require a number of high-resolution eye *** makes them unsuitable for welfare and healthcare facilities with the following challenging characteristics:1)users’continuous movements,2)various lighting conditions,and 3)a limited amount of available *** address these issues,we introduce a multi-view multi-modal head-gaze estimation system that translates the user’s head orientation into the gaze *** proposed system captures the user using multiple cameras with depth and infrared modalities to train more robust gaze estimators under the aforementioned *** this end,we implemented a deep learning pipeline that can handle different types and combinations of *** proposed system was evaluated using the data collected from 10 volunteer participants to analyze how the use of single/multiple cameras and modalities affect the performance of head-gaze *** various experiments,we found that 1)an infrared-modality provides more useful features than a depth-modality,2)multi-view multi-modal approaches provide better accuracy than singleview single-modal approaches,and 3)the proposed estimators achieve a high inference efficiency that can be used in real-time applications.

关键词： Human-computer interaction deep learning head-gaze estimation indoor monitoring

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A Delayed Stochastic Volatility Correction to the Constant Elasticity of Variance Model

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Acta Mathematicae Applicatae Sinica 2016年第3期32卷 611-622页

作者： Min-Ku LEE jeong-Hoon KIM Department of Mathematics Kunsan National University Department of Mathematics Yonsei University

The Black-Scholes model does not account non-Markovian property and volatility smile or skew although asset price might depend on the past movement of the asset price and real market data can find a non-flat structure of the implied volatility surface. So, in this paper, we formulate an underlying asset model by adding a delayed structure to the constant elasticity of variance （CEV） model that is one of renowned alternative models resolving the geometric issue. However, it is still one factor volatility model which usually does not capture full dynamics of the volatility showing discrepancy between its predicted price and market price for certain range of options. Based on this observation we combine a stochastic volatility factor with the delayed CEV structure and develop a delayed hybrid model of stochastic and local volatilities. Using both a martingale approach and a singular perturbation method, we demonstrate the delayed CEV correction effects on the European vanilla option price under this hybrid volatility model as a direct extension of our previous work [12].

关键词： constant elasticity variance , delay stochastic volatility martingale option pricing

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Task scheduling scheme by checkpoint sharing and task duplication in P2P-based desktop grids

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Journal of Central South University 2014年第10期21卷 3864-3872页

作者： Joon-Min Gil Young-Sik jeong School of IT Engineering Catholic University of Daegu13-13Hayang-ro Hayang-eup Gyeongsan-si Gyeongbuk 712-701 Korea Department of Multimedia Engineering Dongguk University 30 Pildong-rol-gilJung-gu Seoul 100-715 Korea

A scheduling scheme is proposed to reduce execution time by means of both checkpoint sharing and task duplication under a peer-to-peer(P2P) architecture. In the scheme, the checkpoint executed by each peer(i.e., a resource) is used as an intermediate result and executed in other peers via its duplication and transmission. As the checkpoint is close to a final result, the reduction of execution time for each task becomes higher, leading to reducing turnaround time. To evaluate the performance of our scheduling scheme in terms of transmission cost and execution time, an analytical model with an embedded Markov chain is presented. We also conduct simulations with a failure rate of tasks and compare the performance of our scheduling scheme with that of the existing scheme based on client-server architecture. Performance results show that our scheduling scheme is superior to the existing scheme with respect to the reduction of execution time and turnaround time.

关键词： P2P-based desktop grids checkpoint sharing task duplication embedded Markov chain

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Electrochemical processing of spent nuclear fuels:An overview of oxide reduction in pyroprocessing technology

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Progress in Natural Science:Materials International 2015年第6期25卷 572-582页

作者： Eun-Young Choi Sang Mun jeong Korea Atomic Energy Research Institute Department of Chemical Engineering Chungbuk National University

The electrochemical reduction process has been used to reduce spent oxide fuel to a metallic form using pyroprocessing technology for a closed fuel cycle in combination with a metal-fuel fast *** the electrochemical reduction process,oxides fuels are loaded at the cathode basket in molten LiO–LiCl salt and electrochemically reduced to the metal *** approaches based on thermodynamic calculations and experimental studies have been used to understand the electrode reaction and efficiently treat spent *** factors that affect the speed of the electrochemical reduction have been determined to optimize the process and scale-up the electrolysis *** addition,demonstrations of the integrated series of processes(electrorefining and salt distillation) with the electrochemical reduction have been conducted to realize the oxide fuel *** overview provides insight into the current status of and issues related to the electrochemical processing of spent nuclear fuels.

关键词： Pyroprocessing Electrochemical reduction Electrorefining Molten salt Spent oxide fuel

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The Impact of Semi-Supervised Learning on the Performance of Intelligent Chatbot System

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Computers, Materials & Continua 2022年第5期71卷 3937-3952页

作者： Sudan Prasad Uprety Seung Ryul jeong The Graduate School of Business Information Technology Kookmin UniversitySeoul02707Korea

Artificial intelligent based dialog systems are getting attention from both business and academic *** key parts for such intelligent chatbot systems are domain classification,intent detection,and named entity *** supervised,unsupervised,and hybrid approaches are used to detect each *** intelligent systems,also called natural language understanding systems analyze user requests in sequential order:domain classification,intent,and entity recognition based on the semantic rules of the classified *** sequential approach propagates the downstream error;i.e.,if the domain classification model fails to classify the domain,intent and entity recognition ***,training such intelligent system necessitates a large number of user-annotated datasets for each *** study proposes a single joint predictive deep neural network framework based on long short-term memory using only a small user-annotated dataset to address these *** investigates value added by incorporating unlabeled data from user chatting logs into multi-domain spoken language understanding *** experimental analysis of the proposed joint frameworks,along with the semi-supervised multi-domain model,using open-source annotated and unannotated utterances shows robust improvement in the predictive performance of the proposed multi-domain intelligent chatbot over a base joint model and joint model based on adversarial learning.

关键词： Chatbot dialog system joint learning LSTM natural language understanding semi-supervised learning

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Data Augmentation Using Contour Image for Convolutional Neural Network

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Computers, Materials & Continua 2023年第6期75卷 4669-4680页

作者： Seung-Yeon Hwang jeong-Joon Kim Department of Computer Engineering Anyang UniversityAnyang-si14058Korea Department of ICT Convergence Engineering Anyang UniversityAnyang-si14058Korea

With the development of artificial intelligence-related technologies such as deep learning,various organizations,including the government,are making various efforts to generate and manage big data for use in artificial ***,it is difficult to acquire big data due to various social problems and restrictions such as personal information *** are many problems in introducing technology in fields that do not have enough training data necessary to apply deep learning ***,this study proposes a mixed contour data augmentation technique,which is a data augmentation technique using contour images,to solve a problem caused by a lack of ***,a famous convolutional neural network(CNN)architecture,and CIFAR-10,a benchmark data set,are used for experimental performance evaluation to prove the superiority of the proposed *** to prove that high performance improvement can be achieved even with a small training dataset,the ratio of the training dataset was divided into 70%,50%,and 30%for comparative *** a result of applying the mixed contour data augmentation technique,it was possible to achieve a classification accuracy improvement of up to 4.64%and high accuracy even with a small amount of data *** addition,it is expected that the mixed contour data augmentation technique can be applied in various fields by proving the excellence of the proposed data augmentation technique using benchmark datasets.

关键词： Data augmentation image classification deep learning convolutional neural network mixed contour image benchmark dataset

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Pharmacologic treatment of depression in patients with myocardial infarction

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Journal of Geriatric Cardiology 2011年第2期8卷 121-126页

作者： jeong-Hoon Ha Cheuk-Kit Wong Department of Cardiology Dunedin School of Medicine Dunedin Public Hospital University of Otago Dunedin 9001 New Zealand

Depression is a common medical problem and is more prevalent among patients with coronary artery disease. Whether early detection and treatment of depression will enhance cardiovascular outcome is uncertain. Obviously, the safety and efficacy of the anti-depression drugs is an important link. This article reviews the patho-physiologic and behavioural links between depression and cardiovascular disease progression, the treatment of depression, and the potential benefits of anti-depressants in patients with coronary disease.

关键词： depression coronary disease pharmacologic treatment

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Antioxidant and anticancer activity of Artemisia princeps *** extract in HepG2 and Hep3B hepatocellular carcinoma cells

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Chinese Journal of Cancer Research 2013年第5期25卷 536-543页

作者： Eun-jeong Choi Gun-Hee Kim Plant Resources Research Institute Duksung Women's University

Objective：The aim of the present study was to investigate antioxidant and the anticancerigen activity of a methanol extract from Artemisia princeps *** （APME）,a well-known traditional herbal medicine in Asia,in hepatocellular cancer ***：To evaluate the antioxidant activity of APME,reactive oxygen species （ROS） and the antioxidant enzymes,superoxide dismutase （SOD） and catalase were investigated in HepG2 cells exposed to APME （5,100,and 200 μg/mL） for 72 ***,to evaluate the anticancer activity of APME,we investigated the proliferation and apoptosis induction of HepG2 and Hep3B cells exposed to APME （1-200 μg/mL） for 24,48,and 72 ***：APME dose-dependently reduced the generation of ROS in the presence of H2O2 compared with control ***,it increased catalase and SOD ***,APME inhibited cell proliferation in a dose-and time-dependcnt manner,but at concentrations lower than 100 μg/mL,the inhibition was less dose-dependent than ***2 and Hep3B cells exposed to 5,100,and 200 μg/mL APME for 72 h underwent cell cycle arrest and *** to APME resulted in a significant increase in the number of cells in G1 phase and a decrease in the G2/M phase cell *** addition,APME induced P53 expression of HepG2 cells in a dose-dependent manner,and played a role in the downregulation of Bcl-2 and upregulation of Bax in both HepG2 and Hep3B ***：These results indicate the potential role of APME as an antioxidant and anticancerigen agent in hepatocarcinoma cell lines.

关键词： Artemisia princeps var.orientalis antioxidant anticancer hepatocellular carcinoma

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