• Information Systems Review
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• v.3 no.1
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• pp.19-30
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• 2001

With the e-business paradigm emerging, the website became a critical resource for most corporations. However, the amount of value creation through internet is still in question. This paper shows the result of an exploratory study on website assessment, following the tradition of Technology Acceptance Model (TAM). We viewed the intended usage as the value of the website and added such factors as playfulness, commitment, system quality, and information security as external variables of the model. Website types, visiting purposes, and the user system quality were included as moderators. The website value could differ depending on website types, purposes of the use and system quality. In the case of internet shopping malls, playfulness, compatibility, website quality were identified as key influencers, while for stock trading users, however, commitment and security factors are more important. In terms of user purposes, information search requires both the compatibility and the website quality. Also the website quality was strongly affected by the user system quality. In other words, any investment of upgrading the website system quality can be meaningless unless the user system quality is improved as well. For each variable considered, empirical results are discussed and practical implications are provided.

• Food Science and Biotechnology
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• v.18 no.1
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• pp.137-142
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• 2009

One of the most important aspects of conducting this microbial risk assessment (MRA) is determining the model in microbial behaviors in food systems. However, to fully these modeling, large expenditures or newly laboratory experiments will be spent to do it. To overcome these problems, it has to be considered to develop the new strategies that can be used data in the published literatures. This study is to show whether or not the data set from the published experimental data has more value for modeling for MRA. To illustrate this suggestion, as example of data set, 4 published Salmonella survival in Cheddar cheese reports were used. Finally, using the GInaFiT tool, survival was modeled by nonlinear polynomial regression model describing the effect of temperature on Weibull model parameters. This model used data in the literatures is useful in describing behavior of Salmonella during different time and temperature conditions of cheese ripening.

• Nuclear Engineering and Technology
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• v.46 no.1
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• pp.1-10
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• 2014

Probabilistic risk assessment (PRA) has been used in various technological fields to assist regulatory agencies, managerial decision makers, and systems designers in assessing and mitigating the risks inherent in these complex arrangements. Has PRA delivered on its promise? How do we gage PRA performance? Are our expectations about value of PRA realistic? Are there disparities between what we get and what we think we are getting form PRA and its various derivatives? Do current PRAs reflect the knowledge gained from actual events? How do we address potential gaps? These are some of the questions that have been raised over the years since the inception of the field more than forty years ago. This paper offers a brief assessment of PRA as a technical discipline in theory and practice, its key strengths and weaknesses, and suggestions on ways to address real and perceived shortcomings.

• Journal of Electrical Engineering and Technology
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• v.8 no.4
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• pp.719-728
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• 2013

Probabilistic assessment of voltage stability margin (VSM) with existence of correlated wind speeds is investigated. Nataf transformation is adopted to establish wind speed correlation (WSC) model. Based on the saddle-node bifurcation transversality condition equations and Monte Carlo simulation technique, probability distribution of VSM is determined. With correlation coefficients range low to high value, the effect of WSC on VSM is studied. In addition, two risk indexes are proposed and the possible threat caused by WSC is evaluated from the viewpoint of risk analysis. Experimental results show that the presence of correlated wind speeds is harmful to safe and stable operation of a power system as far as voltage stability is concerned. The achievement of this paper gives a detailed elaboration about the influence of WSC on voltage stability and provides a potentially effective analytical tool for modern power system with large-scale wind power sources integration.

• Journal of Environmental Impact Assessment
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• v.18 no.6
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• pp.387-392
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• 2009

As Our society's environmental awareness and concern the significant increases, the importance of the legal system for environmental conservation such as the Prior Environmental Review System, Environmental Impact Assessment is growing increasingly. but, still critical issues are present such as reliability. Though there could be various causes such as the system or procedures etc. Above all, basically the environmental data problem is the critical cause. Therefore, this study was trying to improve the environmental data accuracy using the high-resolution color aerial photography, LiDAR data and Object Oriented Classification method. And in this study, classification based on coverage percentage of a particular species was attempted through the multi-resolution segmentation and multi-level classification method. The classification result was verified by comparison with 11 points local survey data. All 11 points were classified correctly. And even though the exact coverage percentage of the particular species did not be measured, It was confirmed that the species was occupied similar portion. It is important that the environmental data which can be used for the conservation value assessment could be acquired.

• Journal of Korean Association for Spatial Structures
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• v.12 no.4
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• pp.91-98
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• 2012

As the occurrence rate of terror and hazard is increasing throughout the world, GSA, DoD, and FEMA are proceeding a study about mitigating the damage of terror. Korea is no more a safe place from the terrorist's threat, so we need to make measures against them. In this study we developed modified RVS System by revising some items to adjust the system to the domestic condition and conducted a risk assessment on several tall buildings in Korea. By using IRVS system which is developed by DHS, we also carried out the risk assessment. Comparing the results between RVS with IRVS, we performed terror risk evaluation of tall buildings. Through risk assessment of several tall buildings, we analyzed key factors of each scenarios and suggested the mean value of each items, so we would like to help the counter-terrorism in the design phase.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.10 no.3
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• pp.38-51
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• 2007

The purpose of this study is to analyze of biotope types and to develop assessment for forest ecosystem evaluation method. Vegetation types divided into 27 types. Considering the vegetation types, vegetation structures, DBH, potentials, and disturbance, it was decided to apply 58 biotope types and survey site's biotopes were divided into 24 biotope types. Assessment indicators were naturaliness, diversity, rarity, stability, potential, and disturbance. The areas given the first grade in ecological value included 9.2% of the site's total land. Areas with the second grade accounted for 43.0% of the total land. Areas with the third grade made up 47.8% of the site and mostly they were areas with dominance of fired area and artificial forest. To plan to build naturally-development for Site, there should be plans to conserve areas with the first grades. For the areas with the second, and third grades, plans for ecological land use based on conservation and restoration in terms of securing biodiversity are needed.

• Journal of the Semiconductor & Display Technology
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• v.19 no.4
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• pp.126-129
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• 2020

We introduce a lifetime assessment technique using deep learning algorithm with complex electrical parameters such as resistivity, permittivity, impedance parameters as integrated indicators for predicting the degradation of the organic molecules. The evaluation system consists of fully automated in-situ measurement system and multiple layer perceptron learning system with five hidden layers and 1011 perceptra in each layer. Prediction accuracies are calculated and compared depending on the physical feature, learning hyperparameters. 62.5% of full time-series data are used for training and its prediction accuracy is estimated as r-square value of 0.99. Remaining 37.5% of the data are used for testing with prediction accuracy of 0.95. With k-fold cross-validation, the stability to the instantaneous changes in the measured data is also improved.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.3
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• pp.43-55
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• 2023

The railway project is an essential green transportation tool that is considered suitable for the domestic and foreign policy direction of carbon neutrality, but there are some limitations, such as damaging important carbon absorption sources during construction. This study analyzed the environmental impact assessment related to carbon absorption sources of greenhouse gas evaluation items conducted during the railway project, and limitations and implications were derived. The analysis of environmental impact assessment guidelines related to railway projects and carbon absorption sources dealt with prediction and reduction methods related to carbon absorption sources, but guidelines, including environmentally friendly railway construction guidelines, lacked descriptions. Since the greenhouse gas environmental impact assessment, 83 railway project environmental impact assessments have been reviewed, but in some cases, carbon absorption-related predictions have not been implemented, or carbon absorption-related reduction measures have been insufficient. In addition, there were cases where there was a limit to calculating emissions and reduction or where the reduction value was insignificant compared to emissions. In order to supplement the environmental impact assessment in the field of carbon absorption sources related to railway construction projects, alternatives such as quantitative emission and low reduction calculation, review of the no net loss system using the total environmental resource system, and linkage with climate change impact assessment are needed.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.20 no.4
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• pp.63-75
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• 2017

This study carried out for establishing the synthetic restoration plan to improve ecological quality of Mt. Mudeung National Park based on the results of conservation value assessment for yellow-throated marten habitats. Yellow-throated marten has significant implications as umbrella species for the wildlife habitats conservation, therefore, this species could be used to ecological restoration plan of the damaged forest ecosystem in Mt. Mudeung National Park. In this study, we diagnosed the quality of yellow-throated marten habitats in Mt. Mudeung National Park based on five natural and two artificial factors. In addition, we evaluated the integrity of each zone divided by trails quantitatively based on land use intensity. As a result, forest landscape quality in Mt. Mudeung National Park was influenced greatly by human activity and the degree was depended on the intensity of trails. Therefore, in this study, we suggested the closing of trails composed of the illegal and 36 legal trails. And then, we modeled the changes of habitats quality of Yellow-throated marten for each closing step. As a result the area of core habitats increased by two times and wildlife habitats quality improved in the whole area of the Mt. Mudeung National Park. As a result, the results of this study indicate that man-made linear landscape elements play a key role in the quality of habitats for predators, which require large habitats area like the Yellow-throated marten. Therefore, in order to establish an ecological restoration plan in the mountainous area, we recommend the concept of the linear landscape should be applied with the concept of area landscape.