• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.11
• /
• pp.232-238
• /
• 2019

The purpose of this study is to verify the feasibility of a model, based on the Theory of Planned Behavior (TPB), that predicts the intention of a problem gambler to abstain from gambling. In order to investigate attitudes toward gambling abstinence, subjective norms, perceived behavior control, and intentions to abstain from gambling, we surveyed 100 problem gamblers who used community-based service centers. Furthermore, we analyzed by the structural equation model whether attitude toward gambling abstinence, subjective norms, and perceived behavior control can influence the intention to abstain from gambling. The analysis of the study model revealed that the most powerful predictor of the gambling abstinence intention is perceived behavior control, followed by a positive attitude toward gambling abstinence. In contrast, subjective norms did not show a significant influence on intentions for gambling abstinence. Based on these results, we propose cognitive-behavioral interventions to improve attitudes and self-efficacy toward gambling abstinence in order to help problem gamblers recover. In other words, continuous support and coping-skills training are needed to reinforce the belief that people can recover from a gambling problem, and information and education on problem gambling to improve positive attitudes can also be helpful. Therefore, it is possible to consider not only the treatment of gambling problems, but also to provide preventive interventions centering on the addiction management institution.

• Journal of Korea Technology Innovation Society
• /
• v.19 no.3
• /
• pp.511-544
• /
• 2016

Standards boost technological innovation by promoting information sharing, compatibility, stability and quality. Identifying groups of companies that particularly benefit from these functions of standards in their technological innovation and commercialization helps to customize planning and implementation of standards-related policies for demand groups. For this purpose, this study engages in profiling of SMEs whose R&D objective is to respond to standards as well as those who need to implement standards system for technological commercialization. Then it suggests a prediction model that can distinguish such companies from others. To this end, decision tree analysis is conducted for profiling of characteristics of subject SMEs through data mining. Subject SMEs include (1) those that engage in R&D to respond to standards (Group1) or (2) those in need of product standard or technological certification policies for commercialization purposes (Group 2). Then the study proposes a prediction model that can distinguish Groups 1 and 2 from others based on several variables by adopting discriminant analysis. The practicality of discriminant formula is statistically verified. The study suggests that Group 1 companies are distinguished in variables such as time spent on R&D planning, KoreanStandardIndustryClassification (KSIC) category, number of employees and novelty of technologies. Profiling result of Group 2 companies suggests that they are differentiated in variables such as KSIC category, major clients of the companies, time spent on R&D and ability to test and verify their technologies. The prediction model proposed herein is designed based on the outcomes of profiling and discriminant analysis. Its purpose is to serve in the planning or implementation processes of standards-related policies through providing objective information on companies in need of relevant support and thereby to enhance overall success rate of standards-related projects.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.10
• /
• pp.170-177
• /
• 2017

The price of land in Jeju is reaching a new high every day and this phenomenon not only causes real difficulties for the purchase of real estate by local residents, but also results in psychological deprivation. Therefore, this study analyzes the factors causing the increase of the land price in Jeju, in order to examine the measures required to stabilize the land price which is continuously rising. As a result of this study, we developed a land price prediction model including seven variables, including the 'inflation rate', 'interest rate', and 'population'. According to the model, land prices in Jeju are expected to rise steadily, and it is predicted that in 2020 the price will increase to 170% of that in 2015 and will triple by 2025. Based on the results of this study, this study suggested policy alternatives, such as 'Establishing a tourism policy for managing the number of tourists' and 'increasing the approval standards for development activities'. The two policies proposed in this study can be implemented as a regional initiative, which may be less effective than the changes in the national system, but it is meaningful that the efforts to stabilize the land price will continue at the regional level.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.20 no.5
• /
• pp.35-44
• /
• 2021

In recent times, several studies have been conducted focusing on crashes occurring on the main segment of the highway. However, there is a dearth of research dealing with traffic safety relating to other highway facilities, especially ramp areas. According to the Korea Expressway Corporation's Expressway Information Service, 6,717 crashes have occurred on ramps in the five years from 2015~2019, which accounts for about 15% of all highway accidents. In this study, the simple and full safety performance functions (SPFs) were evaluated and explored using different statistical distributions (i.e., Poisson Gamma (PG) and Poisson Inverse Gaussian (PIG)) and techniques (i.e., fixed effects (FE) and random effects (RE)) to provide more accurate crash prediction models for highway ramp sections. Data on the geometric characteristics of traffic and roadways were collected from various systems and with extensive efforts using a street-view application. The results showed that the PIG models present more accurate crash predictions in general. The results also indicated that the RE models performed better than FE models for simple and full SPFs. The findings from this study offer transportation practitioners using the Korea Expressway Corporation's Expressway a dependable reference to enhance and understand traffic safety in ramp areas based on accurate crash prediction models and empirical evidence.

• Journal of Korea Water Resources Association
• /
• v.43 no.1
• /
• pp.51-65
• /
• 2010

We suggest a simple and practical flood forecasting and warning system, which can predict change in the water level of a river in a small to medium-size watershed where flash flooding occurs in a short time. We first choose the flood defense target points, through evaluation of the flood risk of dike overflow and lowland inundation. Using data on rainfall, and on the water levels at the observed and prediction points, we investigate the interrelations and derive a regression formula from which we can predict the flood level at the target points. We calculate flood water levels through a calibrated flood simulation model for various rainfall scenarios, to overcome the shortage of real water stage data, and these results as basic population data are used to derive a regression formula. The values calculated from the regression formula are modified by the weather condition factor, and the system can finally predict the flood stages at the target points for every leading time. We also investigate the applicability of the prediction procedure for real flood events of the Jungnang Stream basin, and find the forecasting values to have close agreement with the surveyed data. We therefore expect that this suggested warning scheme could contribute usefully to the setting up of a flood forecasting and warning system for a small to medium-size river basin.

• Proceedings of the Korean Information Science Society Conference
• /
• 2012.06b
• /
• pp.181-183
• /
• 2012

최근 자연어 및 정형언어 처리, 인공지능 알고리즘 등을 활용한 효율적인 의미 기반 지식모델의 생성과 분석 방법이 제시되고 있다. 이러한 의미 기반 지식모델은 효율적 의사결정트리(Decision Making Tree)와 특정 상황에 대한 체계적인 문제해결(Problem Solving) 경로 분석에 활용된다. 특히 다양한 복잡계 및 사회 연계망 분석에 있어 정적 지표 생성과 회귀 분석, 행위적 모델을 통한 추이분석, 거시예측을 지원하는 모의실험(Simulation) 모형의 기반이 된다. 본 연구에서는 이러한 의미 기반 지식모델을 통합에 있어 텍스트 마이닝을 통해 도출된 토픽(Topic) 모델 간 통합 방법과 정형적 알고리즘을 제시한다. 이를 위해 먼저, 텍스트 마이닝을 통해 도출되는 키워드 맵을 동치적 지식맵으로 변환하고 이를 의미적 지식모델로 통합하는 방법을 설명한다. 또한 키워드 맵으로부터 유의미한 토픽 맵을 투영하는 방법과 의미적 동치 모델을 유도하는 알고리즘을 제안한다. 통합된 의미 기반 지식모델은 토픽 간의 구조적 규칙과 정도 중심성, 근접 중심성, 매개 중심성 등 관계적 의미분석이 가능하며 대규모 비정형 문서의 의미 분석과 활용에 실질적인 기반 연구가 될 수 있다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2009.05a
• /
• pp.2004-2008
• /
• 2009

최근 하천오염에 대한 중요성이 크게 대두되고 있으며, 하천 오염을 방지하기 위한 다양한 방법이 강구되고 있다. 이러한 하천 오염방지를 위한 노력의 일환으로 4대강 수계에 대한 수질오염총량제를 실시하고 있다. 수질오염초량제에 있어 중요한 것은 현재 하천의 상태 및 장래 하천의 상황 즉, 수질 상태를 파악하는 것이 중요하다. 이러한 현재 및 미래의 하천 수질 상태를 파악하기 위해 수질 모델링이 필요하다. 본 연구에서는 수질오염총량제를 시행하고 있는 탐진강유역을 연구 대상으로 선정하였다. 대상 하천수질을 모의하기 위한 모형 중에 가장 보편적이고 광범위하게 사용하고 있는 US EPA에서 개발한 Water Quality model 중에 Qual2E 모형의 단점을 보완하여 개발된 Excel기반의 후속모델 Qual2K를 이용하였다. 모형의 적용은 탐진강 유역을 두 개의 단위유역으로 나누어 한 개의 단위유역을 1개의 Reach로 설정하여 총 2개의 Reach를 형성하였다. 탐진호를 Head water로 설정하고 본류23km를 중심으로 유입되는 지천을 소구역의 점 오염원으로 간주하여 적용하였다. 모형의 반응계수는 실측자료를 사용하여 시행착오법에 의해 검토..보정하였으며, 수리입력계수의 산정은 HEC-RAS모형을 사용하여 수심-유량계수와 유속-유량계수를 산정하였다. 수질모의 항목은 실측자료 2007년 배출부하량을 바탕으로 하여, 수질오염총량제의 수질관리 기준인 BOD와 부영양화 물질 T-P로 정하였다. 검정자료와 보정자료는 2007년 수질관측소의 실측자료를 사용하였다. 유량조건은 하천수질환경기준의 설정근거인 저수량(Q275)을 기준으로 탐진강 유역의 수질을 모의 하였다. 그 결과 Qual2K를 이용해 탐진강 수질 모의 결과 검 보정에서 양호한 결과를 나타냈다.

• International Area Studies Review
• /
• v.13 no.3
• /
• pp.331-359
• /
• 2009

We forecast the performance of the Korean biotechnology industry by adopting similar development paths taken by the U.S. biotechnology and Korean ICT industries. Our long-term forecasting techniques predict that Korean BT market size will increase from 3.7 billion to 10.8 billion U.S. dollars by year 2030. The pharmaceutical industry, one of major bio-subindustries, is expected to dominate Korean BT market in the long-run. Also, the relative portion of the exports in the Korean BT industry will be larger and thus the export-oriented government policy is required for the long-run growth of the Korean BT industry. Since the Korean ICT industry has already slowed down in the development, Korean BT industry is likely to catch up with ICT industry in the near future.

• Journal of Environmental Impact Assessment
• /
• v.32 no.6
• /
• pp.545-555
• /
• 2023

This study aimed to predict the distribution density and potential habitat of domestic cats (Felis catus) in order to identify core distribution areas. It also aimed to overlay protected areas to identify priority areas for cat management. Kernel density estimation was used to determine the distribution density, and areas with high density were classified in Greater Seoul, Chungnam, Daejeon, and Daegu. Elevation, distance from the used area and roughness were identified as important variables in predicting potential habitat using the MaxEnt model. In addition, the classification of suitable and unsuitable areas based on thresholds showed that the predicted presence of habitat was more extensive in Seoul, Sejong, Daejeon, Chungnam, and Daegu. Core distribution areas were selected by overlapping high-density areas with suitable areas. Priority management areas were identified by overlaying core distribution areas with designated wildlife sanctuaries. As a result, Gyeonggi, and Chungnam have the largest areas. In addition, buffer zones will be implemented to effectively manage the core distribution area and minimize the potential for additional introductions in areas of high management priority, such as protected areas. These results can be used as a basis for investigating the status of the cat's habitat and developing more effective management strategies.

• Economic and Environmental Geology
• /
• v.47 no.3
• /
• pp.237-246
• /
• 2014

In this study, it is estimated how many changes of macroeconomic variables are happened under the proposition of import substitution of mining products 1% using macroeconometric input-output model. For this, used macroeconometric input-output model is composed of 141 behavioral equations representing the macroeconomy structure. In general, macroeconometrics models are constructed mainly on the side of the expenditure then it is not easy to estimate the effects of the shocks occurred from industry level. To mitigate that, this study tries to construct a macroeconometric input-output model. Macroeconometrics model which is useful to estimate the effects of macroeconomic shocks, economic policy and more, in this study, is linked with input-output table through the NDI(national disposable income) derived from compensation of employee. And this paper presents the estimation results of import substitution effects of mining products on Korean economy. As a results, GDP is increased 0.00073%, gross labor employed 0.00029%, current balanace 0.00010% and unemployment rate is mitigated 0.00233%.