• Journal of Navigation and Port Research
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• v.33 no.10
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• pp.757-769
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• 2009

This paper is intended to forecast the demand for tourism of fishing regions and find the public policies to activate it. The paper focuses on the east coast regions in Gangwon-do. The analysis was conducted through time series analyses and surveys of the tourists in the regions. The results of analyses showed that, while the number of tourists(both domestic and foreign) to the regions has increased, the regions have not been able to accommodate them enough to help improve economies of the regions. It was forecasted that the number of tourists will significantly increase in the future. However, that rates of increase, especially the rates of increase of foreign tourists, cannot be evaluated positively compared to those of the past. These results suggested a few local governmental policies to activate tourism in the regions.

• Journal of Cadastre & Land InformatiX
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• v.44 no.2
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• pp.113-124
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• 2014

Recently landslide occurs frequently by heavy rainfall, therefore there area many studies to analyze the vulnerable district of landslide and forecast the occurrence of landslide. This study analyzed soil characteristics in the occurrence district of landslide and the occurrence possibility of landslide ranked high in well draining soil as the result of frequency ratio according to the characteristics of drainage. Also as the result of frequency ratio of slope derived from DEM data, the occurrence possibility of landslide ranked high in slope range of $20{\sim}40^{\circ}$. And Also as the result of frequency ratio of aspect by geospatial analysis, the occurrence possibility of landslide ranked high in north aspect. Also, it is possible to evaluate the vulnerability of landslide by overlapping frequency ratio of the drainage of soil, slope and aspect. And future prediction ratio of landslide occurrence can be evaluated by performing the analysis and validation process respectively on the subject of the occurrence district of landslide.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1478-1488
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• 2014

The purpose of this study was to forecast which factors provided satisfaction for the foreign medical tourist. The study concluded that the following key factors most affected the satisfaction of medical tourism: total travel budget, number of visits for medical services, occupation, education, monthly household income, budget for medical expenses, and the visiting period. Overall satisfaction of medical tourism explained was 43.5%. The influence of satisfaction on medical tourism through a word-of-mouth and the revisit intention was significant. These conclusions suggest that overall satisfaction with medical tourism based on this study's key factors may be an important factor for increasing the word-of-mouth and the revisit intention by the medical tourist in the future.

• Journal of Korean Society of societal Security
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• v.2 no.3
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• pp.61-66
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• 2009

Previous disaster management system in Korea was focusing on post-disaster, recovery phase. However, modern disaster management system should be focusing on the mitigation activities to minimize human and property damages based on the proper prediction and forecast of various natural disasters and timely dissemination of disaster information to the people. Recently, more frequent and larger scaled disasters have been reported around the globe, mainly due to the environment change not only by physical anomalies such as climate change but also by socio-economic transformations such as urbanization and industrialization. This study describes current practices in disaster management for climate change adaptation of advanced countries and a possible disaster management standard system that can be applied in Korea, based on the case studies on the European countries who are improving their disaster management systems against climate change.

• The Korean Journal of Applied Statistics
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• v.16 no.1
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• pp.87-100
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• 2003

Most of statistical data are generated by a set of dynamic, stochastic, and simultaneous relations. An important question is how to specify statistical models so that they are consistent with the dynamic feature of those data. A general hypothesis is that the lagged effect of a change in an explanatory variable is not felt all at once at a single point in time, but The impact is distributed over a number of future points in time. In other words, current control variables are determined by a function that can be reduced to a distributed lag function of past observations. It is possible to explain the relationship between variables in different points of time and to estimate the long-run impacts of a change in a variable on another if time lag series of explanatory variables are incorporated in the model specification. In this study, distributed lag structure is applied to the domestic stock market model to capture the dynamic response of the market by exogenous shocks. The Domestic market is found more responsive to the changes in foreign market factors both in the short and the long run.

• Journal of Korean Society of Transportation
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• v.26 no.6
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• pp.7-15
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• 2008

Due to the limitations in the statistical data, the existing studies adopted rough methodologies with strong assumptions in the estimation of international passenger travel demand forecast in the ASEAN region. This study aims to develop international passenger travel demand models using scientific methodologies. This study proposes a direct demand model using the immigration and emigration data between countries in the region. This is because of the difficulty of estimating trip generation and trip distribution separately due to the data limitation in the region. As there does not exist the mode choice model for the region, this study estimates a mode choice model using the Stated Preference technique. The mode choice model is separated into three categories of models according to the range of distance between the origin and destination of travel; this is to reflect the different behavior in mode choice according to the travel distance. The result of model estimations suggests that the estimated models produce resonable results statistically. It is expected that the proposed models are useful for the future travel demand estimation in the ASEAN region.

• Korean Journal of Agricultural and Forest Meteorology
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• v.3 no.3
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• pp.156-162
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• 2001

In order to monitor local climatic information, twelve automated weather stations (AWS) were installed in alpine area by the Alpine Agricultural Experiment Station, Rural Development Administration (RDA), at the field of major crop located in around highland area, and collected data from 1993 to 2000. Hourly measurements of air and soil temperature (underground 10 cm,20 cm), relative humidity, wind speed and direction, precipitation, solar radiation and leaf wetness were automatically performed and the data could be collected through a public phone line. Datalogger was selected as CR10X (Campbell scientific, LTD, USA) out of consideration for sensers' compatibility, economics, endurance and conveniences. All AWS in alpine area were combined for net work and daily climatic data were analyzed in text and graphic file by program (Chumsungdae, LTD) on 1 km $\times$ 1 km grid tell basis. In this analysis system, important multi-functionalities, monitoring and analysis of local climatic information in alpine area was emphasized. The first objective was to obtain the output of a real time data from AWS. Secondly, daily climatic normals for each grid tell were calculated from geo-statistical relationships based on the climatic records of existing weather stations as well as their topographical informations. On 1 km $\times$ 1 km grid cell basis, real time climatic data from the automated weather stations and daily climatic normals were analyzed and graphed. In the future, if several simulation models were developed and connected with this system it would be possible to precisely forecast crop growth and yield or plant disease and pest by using climatic information in alpine area.

• Archives of design research
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• v.15 no.1
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• pp.327-338
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• 2002

Nowadays, in accordance with our information-oriented society, industries based on digital Technology have been quickly developing all over the world. This industryhas been playing an important role in improving the quality of peoples'lives so far and will continue to do so, both culturally and socially through industrial and economic aspects. Particularly, the electronic game, on e of the representatives, is providing an intensive value-added segment to the entertainment industry. Games are deeply rooted in people's lives and have a big influence on the industry, society and culture, even our life styles. Consequently, this study is investigating change the electronic game by the times and analyzing the game entity. It is based on the research and analysis of the transition of electronic games in each era. From now on, we will look forward, using previous material in an attempt to forecast the right direction of electronic game design in the future.

• Journal of Environmental Impact Assessment
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• v.14 no.2
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• pp.55-62
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• 2005

This study applied the Neural Network and Fuzzy theory to show water-purity control and preventive measure in water quality forecasting of the future river. This study picked out NAJU and HAMPYUNG as the subject of investigation and used monthly the water quality and the outflow data of KWANGJU2, NAJU, YOUNGSANNPO and HAMPYUNG from 1995 to 1999 to forecast BOD, COD, T-N, T-P water density. The datum from 1995 to 1999 are used for study and that of 2000 are used for verification. To develop model of water quality forecasting, firstly, this research formed Neural Network model and divided Neural Network model into two case - the case of considering lag and not considering. And this study selected optimal Neural Network model through changing the number of hidden layer based on input layer(n) from n to 3n. Through forecasting result, the case without considering lag showed more precise simulated result. Accordingly, this study intended to compare, analyse that Fuzzy model using the method without considering lag with Neural Network model. As a result, this study found that the model without considering lag in Neural Network Network shows the most excellent outcome. Thus this study examined a forecasting accuracy, analyzed result and verified propriety through appling the method of water quality forecasting using Neural Network and Fuzzy Algorithms to the actual case.

• Journal of Information Management
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• v.42 no.4
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• pp.59-74
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• 2011

Despite of increasing digital materials, it is still important to collect print materials and keep their storage space for national level self supporting system as a science and technology(ST) material import country. In order to deal with the storage space issue, we conducted a ST material storage space and its expanding plan for Korea Institute of Science and Technology Information(KISTI). This paper examined first the domestic and overseas standard for the library stack space, analyzed current KISTI library stack space, and finally forecasted its demand in 2020 based on the increasing rate of the stack space. The expanding plans are suggested at the individual library level and also at the cooperative library storage facilities. The results of this paper will help that other libraries diagnose the present status and forecast the future library stack space when they face with the similar problems as it is examined in the KISTI case.