미혼근로여성(未婚勤勞女性)들을 위(爲)한 가족계획교육(家族計劃敎育)의 효과(效果)에 관(關)한 조사(調査);한일합섬(韓一合纖) 수원공장(水原工場)의 예(例)를 중심(中心)으로

박재곤,Park, Jae-Gon 대한생식의학회 1978 Clinical and Experimental Reproductive Medicine Vol.5 No.1

Chicken embryo toxic effects of 1,3,7-TriBDD, a naturally produced dioxin

Jae Gon Park(박재곤),Hisato Iwata(이와타 히사토),Nguyen Minh Tue(투 엔구옌 민),Tatsuya Kunisue(쿠니스 타스야),Eun-Young Kim(김은영) 환경독성보건학회 2021 한국독성학회 심포지움 및 학술발표회 Vol.2021 No.5

Dioxins are known to induce a variety of toxic effects and biological alterations as chemical pollutants. Until now, most of dioxins have been reported that they are derived from human activities such as industrial, combustion, and incineration sources. However, recent researches have shown that naturally produced dioxins were detected. 1,3,7-tribromodibenzo-p-dioxin (1,3,7-TriBDD) is one of the natural occurred dioxins by algal species and abundant polybrominated dibenzo-p-dioxins in marine ecosystem. 1,3,7-TriBDD is assimilated in mussels, and ingested by water birds with tons of mussels. Thus, it is possible that 1,3,7-TriBDD could effect on bird species. But, despite this possibility, the effects of biological exposure on vertebrates such as birds are not well known. Therefore, we performed in ovo exposure test and hepatic transcriptomic analysis with chicken embryos to understand effect of 1,3,7-TriBDD exposure. Chicken embryos treated with 27μM and 137μM of 1,3,7-TriBDD and sacrificed after 21 day incubation. Treated chicken embryos showed decreased glucose level in 1,3,7-TriBDD treated embryos. In transcriptomic analysis, 733 and 596 genes were identified as differentially expressed genes (DEGs) from 6520 sequences in 27 and 137μM of 1,3,7-TriBDD-treated groups, respectively. Pathway analysis with DEGs (differentially expressed genes) suggested that 1,3,7-TriBDD possibly induces cancerous effects and alteration of metabolism. And these results were similar with results of TCDD, the representative dioxin, treated chicken embryos. Collectively, this study suggests the necessity to further investigate the effects of 1,3,7-TriBDD exposure in animals, considering a possibility of increased production of 1,3,7-TriBDD due to climate change such as global warming.

지역 설비투자의 결정요인

박재곤(Park, Jae-Gon),최형재(Choi, Hyung-Jai) 한국지역개발학회 2009 韓國地域開發學會誌 Vol.21 No.2

This study attempts to examine the factors that effect regional facility investment and how the investment behavior differs among regions. The statistics shows that overall regional investment is declining, and that investment is heavily concentrated in certain region. The results of a panel fixed-effects model indicate that, among various macroeconomics factors, interest rates and exchange rate have a statistically significant impact on regional investment, and that land price, the degree of concentration of manufacturing industries, GRDP and the relative capital price are the most important determinants among all regional variables. In addition, factors that affect regional investment differ across regions. Exchange rate, labor force, the degree of concentration of manufacturing industries, transportation condition and knowledge infrastructure are relatively significant factors to explain investment in Sudokwon, while labor force and the degree of concentration of manufacturing industries are important factors in Chungchung region. In Honam region, exchange rate appears to matter for investment, while exchange rate, labor force, land price, the relative capital price, GRDP and knowledge infrastructure are the relatively significant determinants of investment in Youngnam region.

장기기억 속성을 이용한 주가 변동성 예측에 관한 연구

박재곤 ( Jae Gon Park ),이필상 ( Phil Sang Lee ) 한국금융학회 2009 금융연구 Vol.23 No.4

본 논문에서는 장기기억 속성을 이용하여 우리나라 주가 변동성을 예측하고 예측성과를 비교한다. 이를 위해 GARCH 모형과 EGARCH 모형에 분수적분 과정을 도입한 FIGARCH 모형과 FIEGARCH 모형을 이용하여 표본 외 기간을 예측하고, 이들 모형의 예측성과가 단기기억 변동성 모형(GARCH 모형)의 예측성과에 비해 우월한지를 비교한다. 분석 결과 우리나라 주가 변동성에 대해 다음과 같은 사실을 발견하였다. 첫째, 주가에서는 장기기억 속성이 나타나지 않은 것과는 달리 주가 변동성에서는 장기기억 속성이 뚜렷하게 나타났다. 둘째, FIGARCH(1, d, 0) 모형과 FIEGARCH(1, d, 0) 모형의 예측성과가 GARCH(1, 1) 모형의 예측성과에 비해 우월한 것으로 나타났다. 그리고 장기기억 변동성 모형의 상대적 예측성과는 예측기간이 길 때 더 우월한 것으로 나타났다. 본 연구의 결과 장기기억 속성을 이용한 변동성 모형은 예측의 정확도를 높일 수 있는 것으로 나타나, 파생상품의 가격결정이나 VaR 측정 등 위험관리에 유용하게 사용될 수 있을 것으로 기대된다. This paper investigates the long-memory property in estimating and forecasting Korean stock market return volatility. Volatility is a central role in derivative pricing, portfolio allocation, risk management, and performance evaluation of funds. In consequence, there has been much research on estimating and forecasting return volatility. Little has been studied about forecasting return volatility, however, by exploiting the long-persistent property in Korean stock market. In this paper, we estimate and forecast return volatility by employing the long-memory property. For this purpose, we use the Fractionally Integrated GARCH and Fractionally Integrated EGARCH models. The estimation results and forecasting performance of the long-memory volatility models are compared with those obtained from the short-memory volatility model such as GARCH model. Many studies suggest that the conditional volatility of stock returns follows a long-memory process; shock dissipates at a slow hyperbolic rate. This type of persistence cannot be appropriately modeled by standard GARCH type models. In this aspect, the long-memory volatility models are needed to explain the high-persistent volatility. Baillie et al. (1996) and Bollerslev and Mikkelsen (1996) suggest the FIGARCH and FIEGARCH models which introduced the high-persistent property in the standard GARCH and EGARCH models. Therefore, we used these long-memory volatility models in forecasting Korean stock market return volatility. We identified some key findings from the results. First, the auto- correlations for the absolute and squared returns decline at very slow rate which suggest that there is a long-memory property in Korean stock return volatility. Second, it is difficult to say that there is a high-persistent property in the level of stock returns. However, the return volatility follows a long-memory process. The estimated values of long-memory parameters, d of FIGARCH (1, d, 0) and d of FIEGARCH (1, d, 0) models, are 0.356 and 0.584, respectively, and are statistically significant at the 1% significance level. Third, we conducted out-of-sample one-step-ahead and ten-step- ahead forecasts using the FIGARCH (1, d, 0) and FIEGARCH (1, d, 0) models and compared the volatility forecasts of both fractionally integrated volatility models with those of the GARCH (1, 1) model as a benchmark. We found that the long-memory volatility models produce superior out-of-sample forecasts in terms of root mean squared error (RMSE), mean absolute error (MAE), and R2 of Mincer-Zarnowitz regression. In addition, relative forecasting performance of the ten day ahead forecasts is better than that of the one day ahead forecasts. These findings suggest that the long-range volatility models are useful tools in forecasting the volatility of asset returns as well as pricing derivatives and hedging risks. The results of this study also will facilitate to induce variance swaps and variance futures in the Korean financial market.

패널 공적분 관계를 이용한 산업용지 수요 예측

박재곤 ( Jae Gon Park ),변창욱 ( Chang Wuk Byeon ) 한국응용경제학회 2013 응용경제 Vol.15 No.1

본 연구는 산업용지 공급 규모를 결정하는데 기준이 되는 산업용지의 수요를 예측하였다. 그동안 산업용지의 수요 예측은 과거 추세를 연장하거나 경제적 변 수를 제한적으로 반영하였다. 과거 추세를 연장하는 것은 예측의 한 방법으로 유용하지만 경제 변화를 고려할 수 없다는 점에서 이론적으로 취약하다. 경제 변수를 고려한 경우에도 패널자료를 이용하지 않거나 변수 간 공적분 관계를 명시적으로 이용하지 않아 제약이 있었다. 본 연구는 산업용지와 생산액 간의 패널 공적분 관계를 이용하였다. 추정 결 과 산업용지와 생산액 간에는 장기균형관계 즉 공적분 관계가 성립하는 것으로 나타났다. 생산액이 한 단위 증가하면 산업용지는 전체 기간에서는 0.47 증가하 고, 외환위기 이후 기간에서는 0.49 증가하는 것으로 나타났다. 장기균형관계식 의 오차항을 포함한 오차수정모형을 추정한 결과는 첫째, 오차수정항 계수가 유 의한 음의 값(-0.27)을 보여, 장기균형으로 회복하려는 힘이 있음을 확인하였다. 둘째, 생산액의 단기 변화에 대해서도 산업용지가 증가하는 것으로 나타났다. 본 연구는 산업용지 수요 예측에서 경제적 변화를 반영하여 이론적 토대를 강화하고, 패널자료의 공적분 관계를 적용함으로써 추정의 효율성을 높였다 This study estimates and forecasts the size of the industrial land. Meanwhile, the extension of historical trends and economic variables which are partially taken into consideration have been used as the estimation methods for the size of the industrial land. The extension of past trends, however, fails to consider the economic changes that weaken its explanatory power. Even if economic variables are taken into consideration, there is a limitation because the panel data and co-integration relationship between land size and output value are not explicitly used. In this study, we employed a panel co-integration relationship between land and output. Results show that there exists a co-integration relationship between them. Increase in the output value of a unit leads to increase of 0.47 and 0.49 in the land size, respectively, during the entire period and in the post-financial crisis period. Estimation results of the error correction model including error correction term are as follows. First, the coefficient of the error correction term showed a significant negative value (-0.27). We confirmed there was a tendency to return the long-run equilibrium. Second, it was found to increase the land size for short-term changes in the output value. The significance of this study are as follows. First, the theoretical foundation was reinforced because we reflected the changes in economic structure. Second, we increased the efficiency of the estimation by using the panel data and applying the panel co-integration relationship.

지역 설비투자의 결정요인

박재곤(Park, Jae-Gon),최형재(Choi. Hyung-Jai) 한국지역개발학회 2009 韓國地域開發學會誌 Vol.21 No.3

Thìs study attempts to examine the factors that affect regional facility Învcstment and how the investment behavior 이Jfers among regîons. The statistics shows that over1 regiol investmenl is declining, and that investmenl is heavily concentrated in certain regions. The results of a nel fixcd -effects model indκate that, nong vanous macroeconomics facωr ‘ interest rates and e:‘change rate have a sl.uistically signifiçant impaCl on regional inveslmenl. and lhal land pnce, the degree of concentrat.ion “ manufacturing industries. GRDP and the relat.ive ca ωprice are lhe most important determînants among regiona1 variables. addition, factors that affect region investmenl differ across regions. Exchange rate. labor foπ:e. lhe degree of concentration of manactunng slries. transportation condition and knowledge infrastructure are relauvely sinificant faclOrs to ex ain ìn'eslment ìn Sudokwon 'hìle labor force and the degree conccntration of manufacturing induslries are important factors in Chungchung region. 10 I-Ionam regi이1. exchange r꺼le a이Je.1fS to maller for inveslment. whi1e exchange rate. lahor force. land price. the relalive caαtal price, GRDP and knowlge În(rastructure are therel ativ티y significant delenninants of investment io Youognam region

IoT를 이용한 반려동물 Healthcare System

이병규(Byeong-Gyu Lee),박재곤(Jae-Gon Park),유채은(Chae-Eun Yoo),유하정(Ha-Jeong Yu) 한국정보과학회 2018 한국정보과학회 학술발표논문집 Vol.2018 No.12

아두이노를 이용한 자전거 안전 지킴이

이병규 ( Byeong-gyu Lee ),박재곤 ( Jae-gon Park ),권용민 ( Yong-min Kwon ),이상훈 ( Sang-hun Lee ),김중재 ( Joong-jae Kim ) 한국정보처리학회 2017 한국정보처리학회 학술대회논문집 Vol.24 No.2

자전거 이용자 급증으로 자전거의 도난 및 분실을 방지하여 사용자를 안심시켜주고 주행 중 위험요소를 줄이고자 하는 목소리가 높아지고 있다. 본 논문에서는 애플리케이션 개발을 위해 MCU(Micro Controller Unit)인 Arduino Mega 2560 기반에 블루투스(Bluetooth) 통신 방식을 사용하여 자전거 잠금장치, 위치 추적 장치를 조작하고 후방 감지 장치를 제어하였으며 초음파 거리센서 값을 이용하여 LED Strip 및 진동 모터로 사용자에게 주행 상태를 알리는 장치를 구현하였다.