• 한국농공학회:학술대회논문집
• /
• 한국농공학회 2005년도 학술발표논문집
• /
• pp.456-460
• /
• 2005

The purpose of this study is to develop a estimation model of migration with only population data using the cohort-survival model which has been used for forecasting future population. The fluctuation of population can be bisected to the natural change which can be occurred by birth and death and the social change which means migration. The factors of the social change are usually very important for establishing rural policies. However, researches using migration data has limitations because the usage of them are restricted. For verifying a estimation model of migration, comparing estimated population in 2000 year and migration quantity between 1996 and 2000 of 25 gu with real values, using population data and death ratio from 1995 to 2000 of the 25 gu in Seoul. Result shows a reliable data that R-square of forecating population model is 0.9755 and migration is 0.9180. So these model are worth to estimate a population and migration quantity to restricted migration data.

• 디지털산업정보학회논문지
• /
• 제10권3호
• /
• pp.35-40
• /
• 2014

Many researches have been conducted to achieve improvement in distributed system that connects multiple computer systems via communication lines. Among others, the load balancing and file migration are considered to have significant impact on the performance of distributed system. The dynamic file migration algorithm common in distributed processing system involved complex calculations of decision function necessary for file migration and required migration of control messages for the performance of decision function. However, the performance of this decision function puts significant computational strain on computer. As one single network is shared by all computers, more computers connected to network means migration of more control messages from file migration, causing the network to trigger bottleneck in distributed processing system. Therefore, it has become imperative to carry out the research that aims to reduce the number of control messages that will be migrated. In this study, the learning automata was used for file migration which would requires only the file reference-related information to determine whether file migration has been made or determine the time and site of file migration, depending on the file conditions, thus reflecting the status of current system well and eliminating the message transfer and additional calculation overhead for file migration. Moreover, mathematical model for file migration was described in order to verify the proposed model. The results from mathematical model and simulation model suggest that the proposed model is well-suited to the distributed system.

• Fisheries and Aquatic Sciences
• /
• 제10권3호
• /
• pp.159-169
• /
• 2007

The complex 2-dimensional movements of fish during an annual migration circuit were generated and simulated by a chaotic model of fish movement, which was expanded from a small-scale movement model. Fish migration was modeled as a neural network including stimuli, central decision-making, and output responses as variables. The input stimuli included physical stimuli (temperature, salinity, turbidity, flow), biotic factors (prey, predators, life cycle) and landmarks or navigational aids (sun, moon, weather), values of which were all normalized as ratios. By varying the amplitude and period coefficients of the klinokinesis index using chaotic equations, model results (i.e., spatial orientation patterns of migration through time) were represented as fish feeding, spawning, overwintering, and sheltering. Simulations using this model generated 2-dimesional annual movements of sea bream migration in the southern and western seas of the Korean Peninsula. This model of object-oriented and large-scale fish migration produced complicated and sensitive migratory movements by varying both the klinokinesis coefficients (e.g., the amplitude and period of the physiological month) and the angular variables within chaotic equations.

• 한국인구학
• /
• 제12권1호
• /
• pp.30-42
• /
• 1989

This study develops a model of migration decision-making process, with identifying macrolevel and microlevel factors affecting the process. The model includes some sequential stages : to be dissatisfied with current residential area, intend to move, collect information about alternative destinations, select destination, decide to move, and make actual migration. The macrolevel factors included in the model are environmental, socioeconomic, cultural, and demographic characteristics of the current residence and alternative destinations. The microlevel factors are psychological, socioeconomic, and demographic characteristics of the individual. The effects of the macrolevel and microlevel factors on each stage of migration decision-making process are identified from the previous studies on migration. This study has both theoretical and practical implications. The theoretical contribution will be in the area of integrating the ecological and the individual level perspectives of migration by identifying the macrolevel and microlevel effects on migration decision-making process. This study also has implications for theoretical frameworks guiding empirical analysis of migration behavior of the individuals, and for policies aimed at redistributing population.

• 한국환경보건학회지
• /
• 제42권3호
• /
• pp.160-168
• /
• 2016

Objectives: Materials coming into contact with food may result in the migration of chemical substances into the food. To protect consumers from exposure, Regulation (EU) No. 10/2011 specifies the use of standard migration tests. Polyethylene terephthalate (PET), widely used for food packaging materials, has drawn the attention of researchers because unwanted migration of PET into food might occur when consumers reuse packaging material. The aim of this study was to predict and develop a migration model for two components, acetaldehyde and butyraldehyde in PET, into food simulants under conditions of changing pH and solvents, such as those observed in fermented foods like kimchi or sauerkraut. Methods: Using a migration model based on Fick's second law of diffusion in one dimension, the migration of acetaldehyde and butyraldehyde from PET into a simulant of fermented food at $20^{\circ}C$ over 10 days was evaluated. The simulant for fermented food was modelled as 10% ethanol for three days, followed by 3% acetic acid for seven days. Results: The migration of acetaldehyde into the 10% ethanol was 0.36 times that of a simulated fermented food system, while that of butyraldehyde was 1.34 times greater. These results may have been influenced by the chemical interactions among the migrants, polymers and simulants, as well as by the solubilities of the migrants in polymers and simulants. Conclusion: Because food simulants have a limited capacity to mimic real food systems under the current migration model, an appropriate simulant and migration test should be considered in the case of increasing acidity. Furthermore, since the accuracy of the worst-case estimation of migration predicted by the current model is severely limited under changing food conditions, food simulants and their interactions should be further investigated with respect to conservative migration modelling.

• 응용통계연구
• /
• 제32권4호
• /
• pp.517-541
• /
• 2019

OECD (2015)과 UN (2017)에 따르면 한국은 입국의 나라로 분류되고 있다. 입국의 나라는 순이동(net migration)이 양으로 유지된다는 것을 뜻하며, 동시에 국제이동이 인구증가에 영향을 미칠 가능성이 높음을 의미한다. 통계청 (2011)은 이전 추계와는 달리 인구이동요인을 고려한 Wilson (2010)모형을 기반으로 성별 및 입 출국을 구분하여 모수가 15개 이상인 모형을 이용하였다. 그리고 5년 뒤 2016년 추계에서는 최근 5년간의 내국인 순이동률 평균치와 외국인 정부정책을 반영한 값을 가정하였다. 하지만 이 두 결과 모두 국제이동이 보수적으로 추정되어 입국의 나라로 추정하는 OECD, UN의 분류와는 다른 결과를 제공한다. 따라서 본 연구는 입국, 출국 그리고 순이동의 국제이동추이가 선형이 아닌 비선형임을 착안하여 우리나라 2000-2017년 국제이동 자료에 함수적 자료모형을 활용한 비모수 모형 (Hyndman과 Ullah (2007)이 제안한 FDM, Hyndman 등 (2013)가 제안한 Coherent FDM)을 적용하여 확률론적 추계방식으로 향후 추이를 예측하였다. 분석결과 입국률은 2018년 인구천명당 1.098명(남자), 1.026명(여자), 2025년 1.228명(남자), 1.152명(여자) 그리고 출국률은 2018년 인구천명당 0.907명(남자), 0.879명(여자), 2025년 0.987명(남자), 0.959명(여자)으로 나타났다. 따라서 순이동률은 인구천명당 2018년 0.191명(남자), 0.148명(여자), 2025년 0.241명(남자), 0.192명(여자)으로 증가하는 결과가 도출되었다.

• 디지털산업정보학회논문지
• /
• 제13권4호
• /
• pp.153-162
• /
• 2017

Advances in communication technologies and the decreasing cost of computers have made distributed computer systems an attractive alternative for satisfying the information needs of large organizations. This paper presents a distributed algorithm for performance improvement through load balancing and file migration in distributed systems. We employed a sender initiated strategy for task migration and used learning automata with several internal states for file migration. A task can be migrated according to the load information of a computer. A file is migrated to the destination processor when it is in the right boundary state. We also described an analytical model for load balancing with file migration to verify the proposed algorithm. Analytical and simulation results show that our algorithm is very well-suited for distributed system environments.

• 한국전산유체공학회:학술대회논문집
• /
• 한국전산유체공학회 2010년 춘계학술대회논문집
• /
• pp.556-561
• /
• 2010

This paper proposes a three-dimensional haptotaxis model to simulate the migration of the population of cancer cells. The invasion of the cancer cells relates with the hapto- and the effect of the energy between cells and (ECM). The diffuse interface model is employed, which incorporates haptotaxis mechanism and interface energies. The semi-implicit Fourier spectral scheme is adopted for efficient complications. The simulation results reveal rich dynamics of cancer cells migration.

• 한국지하수토양환경학회:학술대회논문집
• /
• 한국지하수토양환경학회 2003년도 추계학술발표회
• /
• pp.543-547
• /
• 2003

We applied the modified invasion percolation (MIP) model to the migration of DNAPL within a two-dimensional random fracture network. The MIP model was verified against laboratory experiments, which was conducted using a two-dimensional random fracture network model. The results showed that the MIP needs modification. To remove TCE trapped in a random fracture network, the density-surfactant-motivated removal method was applied and found very effective to remove TCE from dead-end fractures.

• 응용통계연구
• /
• 제29권3호
• /
• pp.487-503
• /
• 2016

귀농인구의 증가는 빠르게 고령화되고 있는 한국농촌에서 경제 활성화의 단초로 주목받고 있다. 본 논문에서는 2013년 귀농귀촌인 통계를 바탕으로 네트워크 방법을 사용해 귀농인구의 이동에 대한 분석을 진행한다. 구체적으로 다양한 네트워크 중심도지표를 사용해 주요 귀농 거점지역을 파악하고 통계적 네트워크 모형을 사용해 귀농인구의 이동에 존재하는 경향을 살펴본다. 또한 latant distance model을 이용하여 거리가 귀농인구 이동에 미치는 영향에 대해 알아본다.