• 한국산업정보학회논문지
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• 제10권4호
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• pp.128-136
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• 2005

The use of technology is increasing within the service industry, but there is some doubt as to whether the benefits of employing this technology have been efficiently harnessed such as data mining. Data mining is the process of extracting certain predictive information from databases that can evolve from currently used restaurant management systems. The potential of harnessing this predictive information can have an enormous impact on the restaurant's operation on the whole, particularly in the area customer retention and competition. Since there is insufficient literature on the use of data mining in the restaurant industry, this study is both seminal and investigative, done via a Delphi survey to explore and describe the current and future applications of this process.

• East Asian Economic Review
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• 제17권1호
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• pp.3-25
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• 2013

This paper evaluates whether the proposed FTAAP is a desirable policy option for APEC member economies and the world economy. More specifically, this paper qualitatively investigates whether the FTAAP satisfies conditions for a trade bloc to generate positive and sufficient net trade creation effect. In addition, this paper estimates the likely impact of the FTAAP by using a CGE model analysis. From the qualitative analysis based on statistical data, this paper strongly argues that the FTAAP can be a desirable regional trade bloc able to generate positive gains from freer trade. From the ex-ante scenario analysis using both static and capital accumulation CGE Models, this paper concludes that the FTAAP has great potential for improving welfare of participating APEC economies and will boost economic growth in the region. In particular, the FTAAP would be even better if it can be linked with liberalization of trade in services and enhanced trade facilitation.

• Asian Pacific Journal of Cancer Prevention
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• 제14권1호
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• pp.159-163
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• 2013

Background: This study used Surveillance, Epidemiology and End Results (SEER) pancreatic cancer data to identify predictive models and potential socio-economic disparities in pancreatic cancer outcome. Materials and Methods: For risk modeling, Kaplan Meier method was used for cause specific survival analysis. The Kolmogorov-Smirnov's test was used to compare survival curves. The Cox proportional hazard method was applied for multivariate analysis. The area under the ROC curve was computed for predictors of absolute risk of death, optimized to improve efficiency. Results: This study included 58,747 patients. The mean follow up time (S.D.) was 7.6 (10.6) months. SEER stage and grade were strongly predictive univariates. Sex, race, and three socio-economic factors (county level family income, rural-urban residence status, and county level education attainment) were independent multivariate predictors. Racial and socio-economic factors were associated with about 2% difference in absolute cause specific survival. Conclusions: This study s found significant effects of socio-economic factors on pancreas cancer outcome. These data may generate hypotheses for trials to eliminate these outcome disparities.

• ETRI Journal
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• 제38권2호
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• pp.405-415
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• 2016

This research proposes the use of a patent analysis methodology that can suggest promising technology in the ICT sector at the micro-level. This approach identifies core patents from the technology field, groups them as research frontiers (RFs), and develops a visualized network based on the citing relationships to monitor the relationship among RFs. In addition, it calculates a "promising index" based on the growth potential, impact, and marketability of patents to ultimately derive promising RFs. To illustrate the proposed approach, this research presents analysis results for a chosen area, which is the user interface and user experience (UI/UX) technology field. By proposing promising technological fields at the micro-level, the proposed methodology will serve as a useful decision-making support tool in selecting R&D projects, technology planning, and determining technology policy direction.

• 한국유기농업학회지
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• 제18권1호
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• pp.1-19
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• 2010

This paper evaluates potential environmental impacts and external costs on rice production of Korea. The investigation is based on LCA in agricultural area which estimates inputs and outputs of rice production system in quantitative way. The results show that environmental impacts on organic rice(4.49E-08 DALY/kg) is level on 4.5% out of conventional rice(9.97E-07 DALY/kg). The external costs of organic and conventional rice are 4.04won/kg and 89.52won/kg respectively. The balance of both organic and conventional rice which is 85.48won/kg represents monetary value on improvement of environmental effects as producing organic rice.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2003년도 창립학술대회
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• pp.275-289
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• 2003

Most of companies related to the area of B2B electronic commerce are making their efforts to innovate their existing business process into new designed supply chain process. eSCM system using XML/EDI has potential to impact on reshaping the relationship between traditional trading partners. This study intends to suggest a prototype of eSCM system using XML/EDI. To implement eSCM system, we analyze and design the supply chain process by using Unified Modeling Language, with a firm, which is a first vendor to produce LAMP, engaged in Korean automobile industry.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2004년도 추계학술대회
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• pp.179-188
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• 2004

Bankruptcy prediction is an important and widely studied topic since it can have significant impact on bank lending decisions and profitability. Recently, support vector machine (SVM) has been applied to the problem of bankruptcy prediction. The SVM-based method has been compared with other methods such as neural network, logistic regression and has shown good results. Genetic algorithm (GA) has been increasingly applied in conjunction with other AI techniques such as neural network, CBR. However, few studies have dealt with integration of GA and SVM, though there is a great potential for useful applications in this area. This study proposes the methods for improving SVM performance in two aspects: feature subset selection and parameter optimization. GA is used to optimize both feature subset and parameters of SVM simultaneously for bankruptcy prediction.

• 대한불안의학회지
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• 제13권1호
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• pp.1-9
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• 2017

We reviewed the scientific literature on psychological effects of Chemical, Biological, Radiological, Nuclear, Explosive (CBRNE) disaster, which is one of the biggest threat to modern society. CBRNE disaster has the potential to cause specific physical symptoms and psychological distress in victims ; moreover, various toxic symptoms and carcinogenesis/mutation would be an important issue. Bioterrorism can cause localized outbreaks of infectious disease or pandemic disaster. Somatization as well as posttraumatic stress symptoms and depression are the characteristic psychological symptoms in CBRNE disaster's victims. CBRNE disasters could lead to large-scale public fear and social chaos due to the difficulties involved in verifying the extent of exposure and unfamiliar area to the common people. In the evacuation process, problems associated with adjustment and conflict between victims and residents should be considered.

• 한국IT서비스학회지
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• 제2권1호
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• pp.75-83
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• 2003

Among EC areas. the B2B EC market is being spotlighted as an important interesting research area considering its size and the potential impact on companeies and the whole society. In comparison with private consumers in B2C EC. business buyers in B2B EC have to precisely keep track of the purchase records. and integrate them with the buyer's e-procurement system, which might have been implemented as a part of integrated ERP (Enterprise Resource Planning) systems. There are three approaches for such integration between ERP and e-marketplace in B2B EC; Two previous approaches are Inside-Out approach and Outside-In approach. And a newly, one is b-cart approach. In this paper, we try to survey these three approaches and make a comparison analysis. From this research. we identify that the b-cart approach is the most efficient framework in integrating ERP with e-marketplace in B2B EC.

• Advances in Computational Design
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• 제7권3호
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• pp.211-227
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• 2022

In this research, the size-dependent impact of an embedded piezoelectric nanoplate subjected to in-plane loading on free vibration characteristic is studied. The foundation is two-parameter viscoelastic. The nonlocal elasticity is employed in order to capture the influence of size of the plate. By utilizing Hamilton's principle as well as the first- order shear deformation theory, the governing equation and boundary conditions are achieved. Then, using Navier method the equations associated with the free vibration of a plate constructed piezoelectric material under in-plane loads are solved analytically. The presented formulation and solution procedure are validated using other papers. Also, the impacts of nonlocal parameter, mode number, constant of spring, electric potential, and geometry of the nanoplate on the vibrational frequency are examined. As this paper is the first research in which the vibration associated with piezoelectric nanoplate on the basis of FSDT and nonlocal elasticity is investigated analytically, this results can be used in future investigation in this area.