• Journal of Families and Better Life
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• v.8 no.1
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• pp.83-100
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• 1990

The purposes of the study are to understand of rural family life cycle(FLC) and to get a FLC model for the twentieth in rural area. Data for the study were collected from 603 farm households in rural area. The major findings are as follows; 1) The age of first marriage was 21.5 years old(urban : 22.4), the first bearing 23.2(24.2), the last bearing 31.7(32.6), the first child marriage 47.2(46.5), and the last child marriage 59.7(52.7). The number of child and interval were 3.9 persons and 2.9 years respectively. From the survey results, the rural family life cycle was established. Establishment stage(from the marriage to the 1st child birth) : 21-23 yrs. Extension stage(from the 1st child birth to the last child birth) : 23-32 yrs. Complete extension stage(from the last child birth to the 1st child's marriage) : 32-47 yrs. Shrinking stage(from the 1st child's marriage to the last child's marriage) : 47-60 yrs. Complete shrinking stage(from the last child's marri ge to the death of husband) : 60-63 yrs. Dissolution stage(from the death of husband to the death of wife) : 53-75 yrs. 2) In general, the older the age, the younger the first marriage age, the greater the number of child, and the longer the interval of child bearing. The last child's marriage was too last to have the period of recovery stage. In terms of FLC by marital chorts, the later the year of marriage, the older the age of the first marriage and first baby bearing, the smaller the number of child, and the faster the launching stage. The higher the educational level, the older age of the first marriage and the first baby bering, the smaller the number of child, and the shorter the interval of child bearing. 3) Two types of rural FLC model for the twentieth were formulated. Type A was formulated based on the survey results and type B was formulated based on 『'88 population dynamics survey』 of Economic Planning Board(EPB). 「TYPE A」*Establishment stage(from the marriag to the 1st child birth) : 22.5-23.5 yrs. one child : the 1st child's marriage(49.5yrs), the death of husband(64.2yrs), the death of wife(71.7yrs) two children : the last child's birth(25.7yrs), the last child's marriage(51.7 yrs) three children : the last child's birth(27.9yrs) the last child's marriage(53.9yrs) 「TYPE B」*Establishment stage(from the marriage to the 1st child birth) : 25.3-26.3 yrs. one child : the lst child's marriage(52.3yrs), the death of husband(67.0yrs), the death of wife(74.5yrs) two children : the last child's birth(27.8yrs), the last child's marriage(53.8 yrs.) three children : the last child's birth(29.3yrs), the last child's marriage(55.3yrs).

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.7
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• pp.902-906
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• 2004

A separation principle of the Takagj-Sugeno (T-S) fuzzy-model-based observer-control is investigated. When the premise variables are able to be measured or directly computed from the outputs of the T-S fuzzy system and the fuzzy inference rules for the plant, control, and observer share the premise parts, the T-S fuzzy-model-based observer and the T-S fuzzy-model-based control can be separately designed such that the global stabilizability is guaranteed by the fuzzy observer-based output-feedback control. In this case, the global separation principle is well established. On the other hand, when the premise variables are unmeasurable or cannot be computed from the outputs, they should also be estimated. We examine the separation principle of this case. If the decay rates of the T-S fuzzy-model-based control and observer are sufficiently fast, the global separation is assured. Otherwise we show that the separation principle holds locally.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.19 no.5
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• pp.467-475
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• 2007

This study compared the sea surface wind pattern between model results from KMA operational model (RDAPS) and observational results from QuikSCAT in the 2005-2006 year. The mean spatial distributions of sea surface wind show the prominent seasonal patterns of summer and winter season adjacent to Korean Peninsular. The statistical analysis also shows well seasonal variation of sea surface wind patterns between model and observation results. The BIAS value represents less than -0.5 m/s and -1 m/s in summer and winter seasons, respectively. The spatially averaged correlation coefficient shows larger than 0.7 and 0.8 in summer and winter seasons, respectively. The correlation coefficient of winter season shows higher value than that of summer season in the comparison between model and observation. This results show that the RDAPS model simulate well strong sea surface wind in winter season rather than weak sea surface wind in summer season.

• Journal of information and communication convergence engineering
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• v.7 no.3
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• pp.361-365
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• 2009

This paper has been presented the transport characteristics of FinFET using the analytical potential model based on the Poisson's equation in subthreshold and threshold region. The threshold voltage is the most important factor of device design since threshold voltage decides ON/OFF of transistor. We have investigated the variations of threshold voltage and drain induced barrier lowing according to the variation of geometry such as the length, width and thickness of channel. The analytical potential model derived from the three dimensional Poisson's equation has been used since the channel electrostatics under threshold and subthreshold region is governed by the Poisson's equation. The appropriate boundary conditions for source/drain and gates has been also used to solve analytically the three dimensional Poisson's equation. Since the model is validated by comparing with the three dimensional numerical simulation, the subthreshold current is derived from this potential model. The threshold voltage is obtained from calculating the front gate bias when the drain current is $10^{-6}A$.

• Journal of the Semiconductor & Display Technology
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• v.23 no.1
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• pp.7-11
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• 2024

In the era of the 4th Industrial Revolution, new technologies such as artificial intelligence, big data, cloud, Internet of Things, and blockchain are being developed and applied to new industries. Blockchain has the characteristics of decentralization, security, and transparency, so it can serve as a core technology for developing new growth industries. Blockchain is provided as BaaS (Blockchain as a Service), but it is not easy for users who are introducing or building blockchain to choose BaaS. In this study, we identify evaluation factors and develop a decision-making model using fuzzy theory and AHP for BaaS selection. Eventually we aim to help companies choose the best BaaS and develop and commercialize blockchain-based services by developing a new decision-making model for BaaS selection.

• Journal of Food Hygiene and Safety
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• v.28 no.1
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• pp.36-40
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• 2013

This study was performed to determine the ranking foods and related foodborne pathogens for the impact of climate change, e.g., increasing temperature, on microbiological food safety. To do this, we developed an impact-ranking model comprising an Excel spreadsheet by using Risk Ranger. Because of a lack of data, input values in this model were determined on the basis of an expert's opinion. These values also were converted to normal distribution, and the developed model was simulated using @RISK. In conclusion, the 5 superior ranking foods and related foodborne pathogens for climate change impact were as follows: ready-to-eat foods (RTE) (Staphylococcus aureus, Salmonella spp., and Escherichia coli O157:H7); bread and rice cakes (S. aureus and Bacillus cereus); meat and egg products (Salmonella spp., E. coli O157:H7, and S. aureus); tofu (bean curds) and jellies (B. cereus, E. coli O157:H7, and S. aureus); and fish products (S. aureus, Vibrio spp., and E. coli O157:H7).

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.7
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• pp.582-588
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• 2001

The Multiple Model/Controller IMC(MMC-IMC) is a model-based control method which uses a set of model/controller pairs rather than a single model/controller to handle all possible operating conditions in the IMC control structure. During operation, one model/controller pair that best fit, for current plant situation is chosen by the switching algorithm. The major drawback of the switching controller is the bad transient performance due to the model error and the use fo linear controller for nonlinear plants. In this paper, we propose a method that transient response of the MMC-IMC using two recurrent neural networks. Simulation result shows that the proposed method represents better performance than the usual MMC-IMC`s.

• Journal of Korean Society of Transportation
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• v.11 no.1
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• pp.67-86
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• 1993

A formulation of dynamic traffic assignment between multiple origins and single destination was first introduced in 1987 by Merchant and Nemhauser, and then expanded for multiple destination in the late 1980's (Carey, 1987). Based on behavioral choice theory which provides proper demand elasticities with respect to changes in policy variables, traffic phenomena can be analysed more realistically, especially in peak periods. However, algorithms for these models are not well developed so far(working with only small toy network) and solutions of these models are not unique. In this paper, a new model is developed which keeps the simplicity of static models, but provides the sensitivity of dynamic models with changes of O-D flows over time. It can be viewed as a joint departure time and route choice model, in the given time periods(6-7, 7-8, 8-9 and 9-10 am). Standard multinomial logit model has been used for simulating the choice behavior of destination, mode, route and departure time within a framework of the incremental network assignment model. The model developed is workable in a PC 386 with 175 traffic zones and 3581 links of Seoul and tested for evaluating the exclusive use of Namsan tunnel for HOV and the left-turn prohibition. Model's performance results and their statistical significance are also presented.

• Convergence Security Journal
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• v.7 no.3
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• pp.7-13
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• 2007

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. Accurate predictions of software release times, and estimation of the reliability and availability of a software product require quantification of a critical element of the software testing process : test coverage. This model called Enhanced non-homogeneous poission process (ENHPP). In this paper, exponential coverage and S-shaped model was reviewed, proposes the superposition model, which maked out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE statistics for the sake of efficient model, was employed.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.151-160
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• 2021

The purposes of this research were: 1) to analyze the confirmatory factors with the business operational model of entrepreneurs of small and medium enterprises (SMEs) in the textile and clothing industry, and 2) to verify the congruence of the model with the operational ways of the entrepreneurs of SMEs in the textile and clothing industry. The sample consisted of 500 small and medium enterprise entrepreneurs in the textile and clothing industry. This study was quantitative research and the instrument used to collect the data was a questionnaire. The data was analyzed using 1^st order and 2^nd order of confirmatory analysis (CFA). The findings of this research revealed that the model of SMEs in the textile and clothing industry was overall at a high level. Four main factors were used for the model of SMEs in the textile and clothing industry by their importance in descending order as follows: marketing mix (MM), collaboration network (CN), production inventory management (PIM), and creativity (CT). The results of verification of model congruence revealed the model of SMEs in the textile and clothing industry was fit and in accordance with the empirical data.