• Title/Summary/Keyword: Panel Data

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Study on Implementation Scheme for Integrated PSD Control System of Seoul Metro (서울메트로 PSD 통합관제시스템 구축방안에 대한 연구)

  • Kim, Yong-Hyeop;Hyun, Yong-Sub;Ryoo, Ho-Joong;Kim, Jin-Su
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.1551-1559
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    • 2007
  • Seoul Metro has been constructing the screen doors on the platforms to provide safe and comfort environments. The screen doors of each station are configured so that they can be operated in automatic mode in connection with ATC/ATO through the integrated control panel in the station control room and in manual mode through the control panel of the station control room and crew control panel. These systems have been implemented with different data communication protocols between systems, HMI configuration, and so on due to ordering processes, implementation time and diverse suppliers, and manufactured to be operated within single station. Seoul Metro has been planning to implement the integrated control system to secure seamless train operation and safety and to have a fast response system against emergency situations such as PSD failure and fire, by implementing the system that is able to collectively manage, monitor and control the operation status and equipment conditions of PSD on to the integrated control center. This paper has studied a scheme to reduce the budget for the future facility constructions by standardizing the data format for data communication with the integrated station control panel and using the open standard protocols, in order to secure consistency of operation, system expansion and maintenance with unified and standardized control items.

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Optimization of panel parameters and drive signals for high-speed matrix addressing of a bistable twisted-nematic LCD (쌍안정 TN LCD의 고속 매트릭스 어드레싱을 위한 패널 파라미터와 구동 파형의 최적화)

  • 이기동;박구현;장기철;윤태훈;김재창;이응상
    • Korean Journal of Optics and Photonics
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    • v.9 no.6
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    • pp.417-422
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    • 1998
  • In this paper we introduce a method to optimize panel parameters and drive signals in a matrix-adressed bistable twsited-nematic (BTN) liquid crystal display (LCD) panel. We measured the effect of data pulses on optical switching characteristics in a BTN LC cell to model the effect theoretically. We introduce a weighting function to model the effect of data pulses on the switching energy as a function of time. Once the weighting function is known, we can estimate the maximum number of lines for multiplexing operation at a given frame rate by calculating the minimum data pulse width. By characterizing a unit cell as we change panel parameters (for example, d/p ratio), we can optimize parameters for high-speed operation. We found that our theoretical predictions agree very well with experimental results.

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Optimization of the Data Line Sharing Panel Design for the High Resolution and Large Size LCD

  • Lee, Do-Young;Ji, Ju-Hyun;Koo, Hoe-Woo;Yoo, Ki-Taek;Cho, Suk-Ho;Song, Jae-Hun;Yoo, Sung-Rok;Kim, Jae-Sang;Park, Cheol-Woo;Park, Jae-Hong;Lee, Kyung-Ho
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.1247-1249
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    • 2009
  • We have successfully developed the 22 inch WSXGA+ DLS(Data Line Sharing) Panel driving in 75 Hz. In the large size and high resolution panels, it is very difficult to design the DLS Panels without failure because of the very short charging time and the large signal delay. So, we first investigated the charging order to find the most adequate charging type to the large size and high resolution panels. And then, we optimized the design of DLS in terms of improving the charging properties using the technologies of the Delta-doping TFTs, Cu metal electrodes and optimization of panel design value and the circuit signal timing.

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The Impact of Inflation on Chinese Housing Bubble -Empirical Study Based on Provincial Panel Data-

  • Gao, Feng Mu;Fan, Gang Zhi;Zhang, Yan Yan
    • Korea Real Estate Review
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    • v.27 no.1
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    • pp.33-44
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    • 2017
  • The continuously rising housing prices in major Chinese cities have raised question about whether inflation is the main reason to drive up housing price to skyrocket in recent years. Based on the provincial panel dataset of China from 2006-2014, this paper investigates the impact of inflation on Chinese housing markets within the frameworks of both static and dynamic panel data models. Our empirical results show evidence that inflation has indeed been a main force of accumulating housing bubbles in these housing markets, especially in eastern region of China. We also find an interesting phenomenon in which Chinese housing bubble is, to a certain extent, affected by market self-adjustment mechanism.

A Panel Analysis of Influence of R&D on Export (연구개발의 수출에 대한 영향 분석)

  • Choi, Bong-Ho;Kim, Sang-Choon
    • International Commerce and Information Review
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    • v.12 no.1
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    • pp.251-270
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    • 2010
  • The purpose of this study is to analyse the general influence of R&D on export, and to induce policy implications. The method of analysis is panel data analysis based on a data set of Korea, United States and Japan. The result of analyses shows that the influence of R&D on export is significant and positive. In addition, the results also confirmed generally positive relationships between R&D and export. It means that R&D is an important factor to raise international competitiveness of export commodities. We can conclude that the empirical results provide evidence to support the neotechnology theory of trade in the context of Korea, United States and Japan.

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A Study on the Decision of Sample Size for Panel Survey Design (패널조사 표본설계 시 표본크기 결정에 관한 연구)

  • Yoo, Yang-Sang;Shin, Key-Il
    • The Korean Journal of Applied Statistics
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    • v.24 no.1
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    • pp.25-34
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    • 2011
  • The transition probability can be used for the estimation of subpopulation total in panel data analysis. In this paper a real data analysis is performed and the sensitivity of the sample size allocated in the subpopulation is examined by small simulation studies.

The Empirical Study on the Relationship between R&D Investment and Growth Rate Change of Manufacturing Firms in Incheon (인천 제조업 기업의 연구개발 투자와 성장률의 관계)

  • Lee, Yune;Han, Seong Ho;Yoo, Gwang Min
    • Journal of Korean Society for Quality Management
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    • v.41 no.4
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    • pp.601-610
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    • 2013
  • Purpose: The purpose of this paper is to analyze the relationship between R&D investment and growth rate of manufacturing firms in Incheon. Methods: The balanced panel data of 246 firms which have existed for the period 2001-2012 are constructed. As a method of analysis, fixed effects panel data model is used. Results: There is a one year lag in the relationship between R&D intensity and the subsequent sales growth of firms and its relation depends on the firms' characteristics. Conclusion: We suggest the emphasis on R&D investment for firms' growth and the differentiated R&D program based on firm size. This article has the limitation that various types of R&D investment cannot be included in this analysis.

Estimation and Forecasting of Dynamic Effects of Price Increase on Sales Using Panel Data (패널자료를 이용한 가격인상에 따른 판매량의 동적변화 추정 및 예측)

  • Park Sung-Ho;Jun Duk-Bin
    • Journal of the Korean Operations Research and Management Science Society
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    • v.31 no.2
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    • pp.157-167
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    • 2006
  • Estimating the effects of price increase on a company's sales is important task faced by managers. If consumer has prior information on price increase or expects it, there would be stockpiling and subsequent drops in sales. In addition, consumer can suppress demand in the short run. These factors make the sales dynamic and unstable. In this paper we develop a time series model to evaluate the sales patterns with stockpiling and short-term suppression of demand and also propose a forecasting procedure. For estimation, we use panel data and extend the model to Bayesian hierarchical structure. By borrowing strength across cross-sectional units, this estimation scheme gives more robust and reasonable result than one from the individual estimation. Furthermore, the proposed scheme yields improved predictive power in the forecasting of hold-out sample periods.

The Effects of Human Resource Factors on Firm Efficiency: A Bayesian Stochastic Frontier Analysis

  • Shin, Sangwoo;Chang, Hyejung
    • International Journal of Advanced Culture Technology
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    • v.6 no.4
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    • pp.292-302
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    • 2018
  • This study proposes a Bayesian stochastic frontier model that is well-suited to productivity/efficiency analysis particularly using panel data. A unique feature of our proposal is that both production frontier and efficiency are estimable for each individual firm and their linkage to various firm characteristics enriches our understanding of the source of productivity/efficiency. Empirical application of the proposed analysis to Human Capital Corporate Panel data enables identification and quantification of the effects of Human Resource factors on firm efficiency in tandem with those of firm types on production frontier. A comprehensive description of the Markov Chain Monte Carlo estimation procedure is forwarded to facilitate the use of our proposed stochastic frontier analysis.

Conjunctive Predictors of Suicidal Ideation in Korean Elderly : Panel Data Analysis (한국 노인의 자살생각에 관한 융복합 예측요인 : 패널자료분석)

  • Kim, Hyun-Ju
    • Journal of the Korea Convergence Society
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    • v.10 no.7
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    • pp.391-397
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    • 2019
  • In 2016, the number of suicides per 100,000 population in Korea was 24.6, which is the highest record of OECD countries. The number of suicide deaths increased with age. Elderly people have a higher risk of completed suicide than any other age group. The purpose of this study was to analyze the panel data of the Korean Welfare Panel Study to identify the factors affecting the suicide of Korean older people. This study analyzed the data of the 11th Korean Welfare Panel Study, which was constructed in 2016. The mean age of the participants was 75.55 years and 37% were man and 63% were women. The annual prevalence of suicidal ideation was 3.4%. The effects of depression(Exp(B)=1.113) and subjective health status((Exp(B)=.767) on suicidal ideation was statistically significant by stepwise logistic regression analysis(Nagelkerke $R^2=.248$). Therefore, for the effective application of suicide prevention program for the older people, assessment of subjective health status and depression screening should be preceded.