제조셀 형성시 robustness를 고려한 신경망 기법

이준한 한국전문가시스템학회 1998 학술대회 Vol.1 No.1

Asian Democratization at a Crossroads: An Update

이준한 한국학술연구원 2005 Korea Observer Vol.36 No.1

This article analyzes and updates the diverse processes that have characterized democratization in Asian nations since the mid-1980s, as well as estimates the current state of democratic consolidation in each. Based on examination of seven important issues on the path to democracy -- the nature of previous re-gimes, political liberalization, democratic transition, institutional engineering, founding elections, substan-tive democracy, and procedural democracy -- it iden-tifies tasks required to expedite democratic consolida-tion. Although Asian democratization has assumed no uniform or flawless path, great strides both in procedural and liberal democracy over the past dec-ades are widespread. This study is the first to cover all Asian transitions -- in Bangladesh, East Timor, Indo-nesia, Korea, Mongolia, Nepal, Pakistan, the Philip-pines, Taiwan, and Thailand -- from their beginnings through ongoing democratic consolidation.

Economic Voting in Korean National Assembly Elections

이준한 한국학술연구원 2003 Korea Observer Vol.34 No.4

Divergent Paths of Democratization in Asia and Former Communist Europe

이준한,Doh Chull Shin 한국학술연구원 2003 Korea Observer Vol.34 No.1

This paper is a first systematic effort to compare post-authoritarian Asia and post-Communist Europe in terms of four important aspects of democratization. Specifically, it first compares the modes of democratic transition in the two regions. It then focuses on the institutional dimension of democratization. A comparative analysis of substantive democratic progress or retrogression follows, before a final depiction of regional differences in the general levels and patterns of popular support for democracy. It is argued that the modes of democratic transitions do not vary across the two regions, whereas there are remarkable differences in institutional choices, democratic progress, and attitudinal orientation toward democracy. We conclude that regional difference in democratization is more likely to emerge in the phase of consolidation than transition. The legacies of Communist rule abetted destruction of familiar governmental structure designed to maintain one-party dictatorship. Those legacies, however, impeded the growth of democratic legitimacy and maintenance of a free state more than authoritarian legacies of the East.

Voter Turnout “Surge and Decline”: Asian New Democracies

이준한 한국학술연구원 2004 Korea Observer Vol.35 No.2

This paper addresses electoral turnout in Asia’s new democracies, that is, Bangladesh, East Timor, In-donesia, Korea, Mongolia, Nepal, Pakistan, the Phil-ippines, Taiwan, and Thailand. Vote/Voting Age Population data collected by the International Insti-tute for Democracy and Electoral Assistance suggest the “surge and decline” model aptly portrays the dy-namics and patterns of post-transition voter turnout, as initial democratic elections swelled participation, only to be followed by a drop in most of these nations. Turnout in the new Asian democracies is expected gradually to decline before reaching a largely stabi-lized and normalized level.

사출성형 중 높은 전단속도에서 용융 수지의 점도 측정에 대한 연구

이준한,김종선 한국금형공학회 2019 한국금형공학회지 Vol.13 No.3

In this study, a mold for measuring melt viscosity was fabricated with a slit of 10mm in width, 0.5mm in thickness and 200mm in length. Two pressure sensors was installed in the slit to measure the viscosity of melt resin during injection molding. four different grades of PETG were used and the viscosity was measured in the injection molding machine with a screw diameter of 40 mm by setting the melt temperature to 220, 240, 260 ° C, and the injection speed of 10, 20, 30, 40 mm/s. The viscosity was calculated by the shear stress and shear rate, respectively, using the pressures measured at the pressure sensors during injection molding and the injection flow rate. The result showed that all four PETGs has a tendency of decreasing viscosity with increasing melt temperature and shear rate. This tendency was confirmed to be similar to that of PETG measured by general rheometer and the measured values were similar. Therefore, when the viscosity of the melt resin is measured with the injection rheometer, it was confirmed that reliable results of similar tendencies and levels as those of actual resins can be obtained at the range of high shear rate.

인천인구사 2

이준한 인천대학교 인천학연구원 2011 인천학연구총서 Vol.14 No.-

사출성형공정에서 CAE 기반 품질 데이터와 실험 데이터의 통합 학습을 통한 인공지능 품질 예측 모델 구축에 대한 연구

이준한,김종선 한국금형공학회 2021 한국금형공학회지 Vol.15 No.4

In this study, an artificial neural network model was constructed to convert CAE analysis data into similarexperimental data. In the analysis and experiment, the injection molding data for 50 conditions were acquired through thedesign of experiment and random selection method. The injection molding conditions and the weight, height, and diameterof the product derived from CAE results were used as the input parameters for learning of the convert model. Also theproduct qualities of experimental results were used as the output parameters for learning of the convert model. Theaccuracy of the convert model showed RMSE values of 0.06g, 0.03mm, and 0.03mm in weight, height, and diameter,respectively. As the next step, additional randomly selected conditions were created and CAE analysis was performed. Then, the additional CAE analysis data were converted to similar experimental data through the conversion model. Anartificial neural network model was constructed to predict the quality of injection molded product by using convertedsimilar experimental data and injection molding experiment data. The injection molding conditions were used as inputparameters for learning of the predicted model and weight, height, and diameter of the product were used as outputparameters for learning. As a result of evaluating the performance of the prediction model, the predicted weight, height,and diameter showed RMSE values of 0.11g, 0.03mm, and 0.05mm and in terms of quality criteria of the target product,all of them showed accurate results satisfying the criteria range.

사출성형공정에서 다수 품질 예측에 적용가능한 다중 작업 학습 구조 인공신경망의 정확성에 대한 연구

이준한,김종선 한국금형공학회 2022 한국금형공학회지 Vol.16 No.3

In this study, an artificial neural network(ANN) was constructed to establish the relationship between process condition prameters and the qualities of the injection-molded product in the injection molding process. Six process parmeters were set as input parameter for ANN: melt temperature, mold temperature, injection speed, packing pressure, packing time, and cooling time. As output parameters, the mass, nominal diameter, and height of the injection-molded product were set. Two learning structures were applied to the ANN. The single-task learning, in which all output parameters are learned in correlation with each other, and the multi-task learning structure in which each output parameters is individually learned according to the characteristics, were constructed. As a result of constructing an artificial neural network with two learning structures and evaluating the prediction performance, it was confirmed that the predicted value of the ANN to which the multi-task learning structure was applied had a low RMSE compared with the single-task learning structure. In addition, when comparing the quality specifications of injection molded products with the prediction values of the ANN, it was confirmed that the ANN of the multi-task learning structure satisfies the quality specifications for all of the mass, diameter, and height.

서해5도의 정치ㆍ행정

이준한 인천대학교 인천학연구원 2015 인천학연구총서 Vol.33 No.-