• Transactions of Materials Processing
• /
• v.9 no.6
• /
• pp.561-566
• /
• 2000

Recently, the hydroforming technology has been recognized as a general technique in manufacturing industry, especially in automotive industry. Hydroforming is applied to increase strength, and to decrease weight, cost and parts. Hydroforming is based on the inflation of, for Instance, a tube, coupled with axial or radial compression and by subsequent expansion and sizing against the die wall. Expansion, axial feeding, calibration are important parameters in this process. In this paper, the effects of various parameters such as internal pressure, axial feeding and friction on hydroforming of automotive bumper rail have been considered.

• Journal of the Korean Data and Information Science Society
• /
• v.24 no.4
• /
• pp.895-900
• /
• 2013

In this research, we propose a simple bivariate zero inflated negative binomial regression model with different dispersion for bivariate count data with excess zeros. An application to the demand for health services shows that the proposed model is better than existing models in terms of log-likelihood and AIC.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.21 no.46
• /
• pp.167-172
• /
• 1998

Under serious inflation, there has been a considerable gap between book value and market value. To improve this gap, asset revaluation has been implementing in Korea. This paper investigates firms' motives of asset revaluation. The result of empirical tests may be summarized as follow : The corporations listed in Korea Stock Exchange revaluate their assets in order to borrow money owing to good financial structures. Based on this result, the asset revaluation law would be necessary to review.

• Journal of the Korean Professional Engineers Association
• /
• v.44 no.5
• /
• pp.21-25
• /
• 2011

Food sovereignty is the right of peoples to healthy and culturally appropriate food produced through ecologically sound and sustainable methods, and their right to define their own food and agriculture systems. An increase in the price of food that occurs as a result of increased demand from human consumption and use as an alternative energy resource. Furthermore, agflation, a combination of the words "agriculture" and "inflation", will also affect non-vegetative foods as the price increases for grain will make livestock feed more expensive as well. Food sovereignty implies new social relations free of oppression and inequality between men and women, peoples, racial groups, social classes and generations.

• Journal of the korean Society of Automotive Engineers
• /
• v.13 no.3
• /
• pp.13-18
• /
• 1991

여기서는 자동차 분야중 Plastic이 가장 많이 적용되고 있는 Bumper의 초기 설계 가능성 확인(Feasibility study) 및 최적 설계를 위한 유동해석, 구조해석 그리고 Blow Molding Back-Beam 해석을 위한 PITA(Polymer Inflation and Thinning Analysis) 등의 기법들에 대한 내용 및 적용 방법 등에 대하여 서술하였다. 특히, Energy Absorbing 역할을 하는 Back-Beam은 Blow Molding에 의한 설계방법에 촛점을 맞추었다.

• Journal of the Korean Statistical Society
• /
• v.11 no.1
• /
• pp.59-68
• /
• 1982

We propose that, in order to control the inflation and general instability associated with the least squares estimates, we can use the ridge estimator $$ \hat{B}^* = (X'X+kI)^{-1}X'Y : k \leq 0$$ for the regression coefficients B in multivariate regression. Our hope is that by accepting some bias, we can achieve a larger reduction in variance. We show that such a k always exists and we derive the formula obtaining k in multivariate ridge regression.

• Communications for Statistical Applications and Methods
• /
• v.17 no.5
• /
• pp.697-712
• /
• 2010

This paper is concerned with the statistical analysis and development of stochastic models for the demand for life insurance policy loans. For these, firstly the characteristics of the regression trend, periodicity and dependence of the monthly demand for life insurance policy loans are investigated by a statistical analysis of the monthly demand data for the years 1999 through 2008. Secondly, the causal relationships between the demand for life insurance policy loans and the economic variables including unemployment rate and inflation rate for the period are investigated. The results show that inflation rate is main factor influencing policy loan demands. The overall evidence, however, failed to establish unidirectional causality relationships between the demand series and the other variables under study. Finally, based on these, univariate time series model and transfer function model where the demand series is related to one input series are derived, respectively, for the prediction of the demand for life insurance policy loans. A statistical procedure for using the model to predict the demand for life insurance policy loans is also proposed.

• Journal of Korean Society for Quality Management
• /
• v.43 no.1
• /
• pp.85-102
• /
• 2015

Purpose: This study is aimed to develope effective guidelines of R&D institute with regard to general management cost, by analyzing the management characteristics of 14 domestic R&D institutes general management costs. Methods: The bootstrapping method is applied to obtain the average general management cost of 14 R&D institute and the effective R&D institutes are presented by comparing the general management costs of R&D and the rate of inflation. Results: The results show that the average R&D general management cost of 14 R&D institutes is 3.32% and, in general, it turns out that the R&D general management costs do not reflect the inflation rate after a comparative analysis of the variation of the R&D general management costs. In addition, the results of cost-effective analysis show that only 5 R&D institutes are efficient in R&D activities. Conclusion: Applying a uniform standard of R&D general management costs although their management characteristics are different, can cause the impediment to the independence and transparency of R&D institutes. Therefore it is recommended a strict implementation with respect to the monitoring system of each R&D institute and the budget policy methods which are reflected management characteristics.

• Korean Journal of Remote Sensing
• /
• v.33 no.1
• /
• pp.37-46
• /
• 2017

Sinabung volcano in Indonesia was formed due to the subduction between the Eurasian and Indo-Australian plates along the Pacific Ring of Fire. After being dormant for about 400 years, Sinabung volcano erupted on the 29th of August, 2010 and most recently on the 1st of November, 2016. We measured the deformation of Sinabung volcano using Advanced Land Observing Satellite/Phased Array type L-band Synthetic Aperture Radar(ALOS/PALSAR) interferometric synthetic aperture radar(InSAR) images acquired from February 2007 to January 2011. Based on multi-temporal InSAR processing, we mapped the ground surface deformation before, during, and after the 2010 eruption with time-series InSAR technique. During the 3 years before the 2010 eruption, the volcano inflated at an average rate of ~1.7 cm/yr with a markedly higher rate of 6.6 cm/yr during the 6 months prior to the 2010 eruption. The inflation was constrained to the top of the volcano. From the 2010 eruption to January 2011,the volcano subsided by approximately 3 cm (~6 cm/yr). We interpreted that the inflation was due to magma accumulation in a shallow reservoir beneath Sinabung. The deflation was attributed to magma withdrawal from the shallow reservoir during the eruption as well as thermo-elastic compaction of erupted material. This result demonstrates once again the utility of InSAR for volcano monitoring.

• Journal of Environmental Science International
• /
• v.17 no.9
• /
• pp.969-980
• /
• 2008

This research was performed to simulate shellfish production systems and sales in Gamak Bay, South Korea. To study the way the shellfish system generates maxima, a numerical model was developed to simulate the model under a control and a number of different scenarios. The program calculates the EMERGY flows by multiplying the flows of energy and materials by the appropriate solar transformity. In this study, an energy systems model was built to simulate the variation of sustainability for oyster aquaculture. The results of the simulation based on 2005 data that as oyster production yield slightly increases, money and assets increase to a steady state. When the program is run control simulation, the system reaches carrying capacity after 8 years. The simulation of models with price of purchased inputs increased with 3.5% inflation rate per year showed maximum benefit of shellfish production occurs after 6 years but amounts are less than control simulation, and then decreases slightly in money and yield results. The results with 3.5% inflation and increase of oyster price annually showed steady and slightly increase of money and yield.