• Communications for Statistical Applications and Methods
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• v.15 no.5
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• pp.727-735
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• 2008

Consider a clinical trial in which the main end-point is survival. Suppose after the start of the study an intermediate event occurs which may be influenced by a covariate(or treatment). In many clinical studies the occurrence of an intermediate event may change the survival distribution. This investigation develops two-stage model which, in the first stage, models the effect of covariate on the intermediate event and models the relationship between survival time and covariate as well as the intermediate event. In this paper, the two-stage model is presented in order to model intermediate event and a test based on this model is also provided. A numerical simulations are carried out to evaluate its overall significance level.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.7
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• pp.132-143
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• 1999

In this study, an intermediate model is presented as a new method for development of a parametric simulation program. This model enables us to analyze effectively the static and dynamic structure of a real production system. The static structure of the real system can be modelled in an entity-relationship diagram and the dynamic structure of the real system in a Petri net. The intermediate model consists of an entity-relationship diagram and a Petri net. Using this intermediate model man can not only reduce the time and cost for simulation program development, but also increase the modelling reliability of the developed simulation program. To show the usefulness of this intermediate model. the intermediate models for two production subsystems, manufacturing sub-system and transport subsystem, are set up.

• Korea Trade Review
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• v.46 no.5
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• pp.83-98
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• 2021

This study aims to examine the effects of international trade in intermediate input on the implications of international business cycle properties in Korea. To do this, I have extended standard one goods New Keynesian international business cycle model to incorporate the role of intermediate inputs. After constructing the DSGE model, I have analysed the impulse response function and varian decomposition results. The results show that the model could introduce a new channel, that is, "cost channel" like Eyquem and Kamber (2014). In other words, the model has changed the dynamics of aggregate inflation by the cost channel. When the trade in intermediate goods increase, which is measured by openness of foreign input, the volatility of output, consumption and inflation increase two or three times. However, the model itself fails to explain the full account of cycle behavior of historical data, but the results imply that the trade in intermediate input assumption can help to improve the forecasting ability of international business cycle models.

• Advances in nano research
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• v.12 no.4
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• pp.365-374
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• 2022

Intermediate filaments are the mechanical ropes for both cytoskeleton and nucleoskeleton of the cell which provide tensile force to these skeletons. In providing the mechanical support to the cell, they are likely to buckle. We used conventional Euler buckling model to find the critical buckling force under different boundary conditions which they assume during different functions. However, there are many experimental and theoretical studies about other cytoskeleton components which demonstrate that due to mechanical coupling with the surrounding surface, the critical buckling force increases considerably. Motivated with these results, we also investigated the influence of surface effects on the critical buckling force of intermediate filaments. The surface effects become profound because of increasing ratio of surface area of intermediate filaments to bulk at nano-scale. The model has been solved analytically to obtain relations for the critical forces for the buckling of intermediate filaments without and with surface effects. We found that critical buckling force with surface effects increases to a large extent due to mechanical coupling of intermediate filaments with the surrounding surface. Our study may be useful to develop a unified experimental protocol to characterize the physical properties of Intermediate filaments and may be helpful in understanding many biological phenomenon involving intermediate filaments.

• Journal of the korean society of oceanography
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• v.32 no.1
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• pp.17-27
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• 1997

Miami Isopycnic Coordinate Ocean Model is applied to the East Sea to estimate the renewal time of the upper Intermediate Water The model gives about 10 years of renewal time. Extrapolating this result to the whole water mass below, including the upper Intermediate Water, leads to about 81.4 years of renewal time, which is quite comparable to that obtained by Kim and Kim (1997) based on the recent observations. Deep winter mixing occurs in the north of the basin. The areas of the largest water mass conversion, from the upper mixed to the intermediate below, are along the periphery of the deep mixing zone. Large portion of the renewed Intermediate Water then advects along the Korean and Japanese coasts. It is concluded that the high-oxygen content Intermediate Water found off the Korean coast (Kim and Chung, 1984) is in part locally formed but mostly advected from the deep mixing zone.

• JSTS:Journal of Semiconductor Technology and Science
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• v.13 no.6
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• pp.539-545
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• 2013

In this paper, a behavioral current-voltage model with intermediate states is proposed for analog applications of unipolar resistive memories, where intermediate resistance values between SET and RESET state are used to store analog data. In this model, SET and RESET behaviors are unified into one equation by the blending function and the percentage volume fraction of each region is modeled by the Johnson-Mehl-Avrami (JMA) equation that can describe the time-dependent phase transformation of unipolar memory. The proposed model is verified by the measured results of $TiO_2$ unipolar memory and tested by the SPECTRE circuit simulation with CMOS read and write circuits for unipolar resistive memories. With the proposed model, we also show that the behavioral model that combines the blending equation and JMA kinetics can universally describe not only unipolar memories but also bipolar ones. This universal behavioral model can be useful in practical applications, where various kinds of both unipolar and bipolar memories are being intensively studied, regardless of polarity of resistive memories.

• Proceedings of the Korea Concrete Institute Conference
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• 2000.10b
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• pp.839-844
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• 2000

The research was conducted to investigate the effects of intermediate diaphragm in concrete girder bridge. The analytical variables consisted of various types(reinforced concrete and steel) and locations of intermediate diaphragm, slab thickness, girder spacing etc. Finite element analyses of the bridge model assuming simply support condition. The Vertical load distribution was determined to be essentially independent of type and location of intermediate diaphragms. Also, it is found that the practical design of intermediate diaphragm may be revised.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2006.04a
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• pp.520-527
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• 2006

The structural design process of the buildings consists of several design phases, which perform the simple calculation and the decision mailing to be with designers judgement, recursively. In this paper, the information that created during the design phases and used for generating the rational design result is called intermediate information. The intermediate information as well as the structural design results must be managed together in order to develop an integrated system for computer aided structural design. This paper presents the research for the object modeling concepts and the formal object model according to them for the systematic management of not only structural design results but also intermediate information.

• Korea Trade Review
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• v.46 no.4
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• pp.205-217
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• 2021

This paper examines the effects of intellectual property protection policies on upstream firms' R&D investments in order to derive policy implications in relation to the fostering of the intermediate goods industry. To that end, the dependence on import of intermediate goods and the degree of protection of intellectual property rights are introduced into the model to analyze the effects of R&D investments on the dependence on imports and the effects of intellectual property rights protection policies on the level of R&D investments in order and the social welfare effects are also checked. The policy implications derived in this paper, which used an oligopolistic market model with a vertical specialization structure, are as follows. As R&D investments expand, upstream firm begins to have price competitiveness, the dependence on import of intermediate goods by downstream firm decreases, and social welfare increases. That is, in order to strengthen the independence of the intermediate goods industry, R&D investments by upstream firm should be expanded, and to promote this, the government should strengthen the protection of intellectual property rights.

• The Korean Journal of Applied Statistics
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• v.29 no.7
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• pp.1311-1327
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• 2016

We propose a multi-state model for analyzing semi-competing risks data with interval-censored or missing intermediate events. This model is an extension of the 'illness-death model', which composes three states, such as 'healthy', 'diseased', and 'dead'. The state of 'diseased' can be considered as an intermediate event. Two more states are added into the illness-death model to describe missing events caused by a loss of follow-up before the end of the study. One of them is a state of 'LTF', representing a lost-to-follow-up, and the other is an unobservable state that represents the intermediate event experienced after LTF occurred. Given covariates, we employ the Cox proportional hazards model with a normal frailty and construct a full likelihood to estimate transition intensities between states in the multi-state model. Marginalization of the full likelihood is completed using the adaptive Gaussian quadrature, and the optimal solution of the regression parameters is achieved through the iterative Newton-Raphson algorithm. Simulation studies are carried out to investigate the finite-sample performance of the proposed estimation procedure in terms of the empirical coverage probability of the true regression parameter. Our proposed method is also illustrated with the dataset adapted from Helmer et al. (2001).