• 제목/요약/키워드: Following Lag

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Feldstein-Horioka Puzzle in Thailand and China: Evidence from the ARDL Bounds Testing

  • RUANKHAM, Warawut;PONGPRUTTIKUL, Phoommhiphat
    • The Journal of Asian Finance, Economics and Business
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    • 제8권9호
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    • pp.1-9
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    • 2021
  • This study aimed to investigate the existence of the Feldstein-Horioka (1980) puzzle in international macroeconomics by applying the conditional Autoregressive Distributed Lag (ARDL) model to examine the long-run relationship between national savings and investments in Thailand and China. The input of this study relied on annual national savings and investments as a fraction of GDP during 1980-2019 which was collected from China National Bureau of Statistics (NBS) and Thailand National Economic and Social Development Council (NESDC). Hypothetically, Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root tests were applied to test the stationary properties and to investigate the integration level of selected time series. The empirical results, confirmed by cumulative sum (CUSUM) and cumulative sum square (CUSUMSQ), maintained no serial correlation and structural break problems. The finding of this study suggested that the Feldstein-Horioka puzzle in Thailand did not exist significantly. Thailand's national savings and investments nexus was independent, following the classic economic idea that financial liberalization, or perfect capital mobility, allowed national savings and investments to flow freely to countries with better interest rates. Whereas, a strong significant correlation was found in the case of China during the fixed exchange rate regime switching in 1994 and post WTO participation after 2001-2019.

Reverberation Mapping of Nearby AGN with Medium-band and LSGT

  • Kim, Joonho;Im, Myungshin;Choi, Changsu;Hwang, Sungyong
    • 천문학회보
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    • 제45권1호
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    • pp.34.2-34.2
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    • 2020
  • Reverberation mapping is one of the best ways to investigate the physical mechanism of broad-line regions around central supermassive black holes of active galactic nuclei (AGNs). It is usually used to estimate the masses of supermassive black holes. Although spectroscopic reverberation mapping has used to study dozens of AGN, spectroscopic monitoring campaign of large sample is expansive. Here, we present results of photometric reverberation mapping with medium-band photometry. We monitored five nearby AGN which were already studied with H-alpha emission line. Observation has been performed for ~3 months with ~3 days cadence using three medium-band filters installed in LSGT (Lee Sang Gak Telescope; 0.43m). We found 0.01-0.08 magnitude variations from differential photometry. Also time-lags between continuum light-curves and H-alpha emission line light-curves are found using JAVELIN software. The result shows that our study and previous studies are consistent within uncertainty range. In the near future, medium-band photometric reverberation mapping seems useful to study large AGN samples. We will present preliminary result of following study that report new time lag measurement of six AGNs in the similar way.

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항공사 승무원의 운항조건에 따른 피로도 및 피로요인 분석 (Fatigue Analysis according to Flight Conditions of Airline Crew Members)

  • 김영효;김준석;송병흠
    • 한국항공운항학회지
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    • 제31권4호
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    • pp.126-132
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    • 2023
  • During the COVID-19 pandemic, there have been many changes in the aviation industry as a whole. Passenger traffic has decreased, but on the contrary, the international transport demand for cargo planes has never been higher. Due to their geopolitical location when flying to major cities around the world, Korea's international pilots are bound to have relatively more jet lag-causing routes than their American or European-based pilots. Through this study, we tried to analyze the degree of fatigue and fatigue weighting factors according to operating conditions for domestic pilots. As a result of the study, the following conclusions were drawn. Despite the variety of models, routes, and fatigue between individuals, it was found that the 3 Pilot operation route was concentrated as a representative fatigue route. Most of the individual fatigue improvement request sections showed higher fatigue as the night flight section was longer among the 3Pilot routes for more than 12 hours, and 43 out of 90 participants (Korean Air pilots) focused on 3Pilot (two captains and one pilot) as fatigue-intensive operating conditions. Therefore, it proposes an improvement in the system of applying 12-hour unification standards according to Korea's geopolitical international operating conditions and time difference standards.

전자의무기록 팝업차트를 활용한 CRRT 관리의 질향상 활동 (Pop-up Chart for Managing CRRT Improves the Quality of CRRT Care)

  • 고수령;이안나;김기표;진호준;나기영;채동완;김세중
    • 한국의료질향상학회지
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    • 제25권1호
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    • pp.43-51
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    • 2019
  • Purpose: The time lag between the decision to initiate continuous renal replacement therapy (CRRT) and its actual initiation remains a major barrier in our intensive care units. We developed a CRRT pop-up chart on EMR for managing CRRT machines. Methods: This study measured time interval between the decision to prepare the CRRT machine and the actual use of the machine before and after using a CRRT pop-up chart. This study conducted a questionnaire of the medical staff to assess the changes in the quality of CRRT preparation. Results: A total of 95 patients on CRRT is analyzed. The time to find an available CRRT machine is decreased by 24.6%. The time to move a CRRT machine to the patient's bedside is decreased by 55.8%. Medical surveys of 44 nurses gave the following results. 1) The time to apprehend machines for 1 to 3 minutes is improved from 29.5% to 81.8%, and the time to apprehend machines over 3 minutes is decreased from 70.5% to 18.2%. 2) The number (6-all) of known machine locations is improved from 22.7% to 63.4%. 3) Interruption of a nurse's work due to telephone calls asking for the possession of movable CRRT equipment also is improved. Scores of 1-4 are improved from 15.9% to 41%. Scores of 5-7 are reduced from 52% to 15.9%. Conclusions: CRRT pop-up chart is shortened the time lag of CRRT machine preparation, reduced the nurse's phone workload and helped to improve the quality of CRRT care.

감성을 통한 디자인 프로세스 개발과 디자인 학습 동기유발 훈련과정의 연관성에 관한 연구 (A Study on Relationship between the Development of the design process and the Motivation of study design through Individual Sensibility)

  • 박종현;이종렬
    • 한국디지털건축인테리어학회논문집
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    • 제10권2호
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    • pp.21-30
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    • 2010
  • Students in the field of architectural design, form and design of the new learning process, and in the design of a very premiere. Perhaps one way of theoretical training and strict discipline academy will probably already be familiar with. In addition to academic activities rather passive liberal arts students, learning basic academic skills than students, vocational students lag is most. However, these have been popular with young sensibility popular consensus here and he has the potential to move actively. This is very sporadic but does not control the many, it's even the potential fragmentation of consciousness, because they themselves do not know a lot of parts. Therefore, the power embodied in the design process and disclose the outside, it fits in the design field to produce results. And designed to improve learning ability and motivation to want to promote. Accordingly, this research through the following four methods to test the methodology on the basis of the results and try to find solutions to problems. (1) Outside the student's latent ability to express emotion should be. (2) Students' interests are actively utilized in the design classes. (3) Analysis of individual interests and ideas, and how to take advantage of the design process that is induced. (4) The final work should express your own personality into the design. Through this, students' academic motivation and a positive vision of the direction of design is proposed.

표면코팅 구조재의 달열효과 분석 (An Analysis on Thermal Insulation Effect of Farm Structures Coated with Surface Treatment)

  • 서원명;윤용철
    • 한국농공학회논문집
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    • 제46권4호
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    • pp.39-46
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    • 2004
  • This experiment was carried out to study on the effect of surface coating on thermal insulation of farm structures to improve thermal resistance and reflective effect of solar radiation. Nine different types of experimental specimen were compared in the temperature variations of inside and outside; A, B, C, D. E and F types are box container and G, H and I types are drum container. The size of these containers is $1,500{\times}2,000{\times}2,500$ mm and ${\varphi}$ $280{\times}330$ mm, respectively. Specimen of 3-type box(A, B, C) is galvanized steel sheet of thickness 0.45 mm. D, E and F types are sandwich panel of the thickness 50 mm inserted with urethane, glass wool and polystyrene form, respectively. G, H and I types are paint pot using in general. The surface of A. D, E, F and I types didn't any treatment, B, C and G types were treated with thermal insulation coating on the outside surface(B, G) or the inside and outside surface(C). And H type was treated with water paint coating on the only outside surface. In general, the experimental results showed the following tendencies; In case of A, B and C types. it was found that the thermal insulation effect of types coated with thermal insulation coating was improved remarkably than that of no treatment. And the thermal insulation effect between steel sheet and sandwich panel type was nearly similar There was not a significant difference of thermal insulation effect between thermal insulation coating and water paint coating. In time of drum container filled with rough rice, The difference of heat transfer tendency and temperature variation among surface treatments was nearly similar that of box types of galvanized steel sheet. And there was time lag about 6 hours between the temperature of middle part of rice and that of inside or outside surface.

터보과급 디젤기관의 과도운전시 응답성능에 관한 연구 (A Study on the Response Performances under Transient Operating Conditions in a Turlblocharged Diesel Engine)

  • 최낙정;이창식
    • 대한기계학회논문집
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    • 제16권8호
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    • pp.1575-1582
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    • 1992
  • 본 연구에서는 정상운전 중인 4사이클 6실린더 터보과급 디젤기관에 갑자기 큰 부하가 작용하였을 경우, 기관 및 과급기 관성 모멘트의 변화가 기관과 과급기의 실제 회전속도, 압축기 압력비, 실린더내 공기유량, 연소효율, 배기온도 등의 과도 응 답성능에 미치는 영향을 시뮬레이션해석과 실험을 통하여 규명하였다.

Wiebe 燃燒函數에 의한 디이젤機關 의 燃燒騷音低減 에 관한 硏究 (A Study for Reduction of Combustion Noise in Diesel Engine by Wiebe's Combustion Function)

  • 이성노;궁본등;촌산정;노상순
    • 대한기계학회논문집
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    • 제9권5호
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    • pp.548-554
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    • 1985
  • 본 논문에서는 디이젤기관의 연소소음의 저감을 최종목표로 하여 Wiebe의 연 소함수에 의해 근사시킨 열발생속도의 변화가 디이젤기관의 연소소음 및 도시열효율에 미치는 영향에 관하여 수치실험을 통하여 해석검토하였다.

ADHD 학생의 분수학습을 위한 개별지도 사례연구 (Case Study of Individualized Teaching for an ADHD Student's Learning of Fraction)

  • 천진승;장혜원
    • 한국초등수학교육학회지
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    • 제14권3호
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    • pp.807-825
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    • 2010
  • 오늘날 학교 현장에는 ADHD 증상으로 간주되는 산만하고 주의력이 부족하며 과잉행동을 보이는 학생들이 늘어나고 있는 추세이다. 이러한 특징을 보이는 학생들은 일반 학생들에 비해 학업 성적이 떨어질 뿐만 아니라 주의집중 부족으로 인해 교사들의 지도시 어려움을 야기시키고 있다. 이에 본 연구에서는 한 ADHD 학생을 대상으로 분수단원에 대한 적절한 개별지도를 계획하여 실시함으로써 학생의 분수 관련 이해 및 기능을 향상시키기 위한 지도 사례를 제공하고자 하였다. 연구 결과, ADHD 학생이 보이는 분수학습의 오류 유형으로 등분할의 개념 부족, 분수의 분모와 분자 개념 미흡, 분모가 같은 분수 및 대분수의 덧셈과 뺄셈의 오류 등을 찾을 수 있었고, ADHD 학생의 학력차, 학습 적성, 시간차에 따른 학습에 대해서 정확히 파악하고 이를 바탕으로 체계적인 계획을 세워서 지도한다면 학생의 분수 개념 이해 및 계산 기능을 향상시킬 수 있음을 확인하였다.

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암호화폐 가격 예측을 위한 딥러닝 앙상블 모델링 : Deep 4-LSTM Ensemble Model (Development of Deep Learning Ensemble Modeling for Cryptocurrency Price Prediction : Deep 4-LSTM Ensemble Model)

  • 최수빈;신동훈;윤상혁;김희웅
    • 한국IT서비스학회지
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    • 제19권6호
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    • pp.131-144
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    • 2020
  • As the blockchain technology attracts attention, interest in cryptocurrency that is received as a reward is also increasing. Currently, investments and transactions are continuing with the expectation and increasing value of cryptocurrency. Accordingly, prediction for cryptocurrency price has been attempted through artificial intelligence technology and social sentiment analysis. The purpose of this paper is to develop a deep learning ensemble model for predicting the price fluctuations and one-day lag price of cryptocurrency based on the design science research method. This paper intends to perform predictive modeling on Ethereum among cryptocurrencies to make predictions more efficiently and accurately than existing models. Therefore, it collects data for five years related to Ethereum price and performs pre-processing through customized functions. In the model development stage, four LSTM models, which are efficient for time series data processing, are utilized to build an ensemble model with the optimal combination of hyperparameters found in the experimental process. Then, based on the performance evaluation scale, the superiority of the model is evaluated through comparison with other deep learning models. The results of this paper have a practical contribution that can be used as a model that shows high performance and predictive rate for cryptocurrency price prediction and price fluctuations. Besides, it shows academic contribution in that it improves the quality of research by following scientific design research procedures that solve scientific problems and create and evaluate new and innovative products in the field of information systems.