• Journal of the Korean Society for Library and Information Science
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• v.58 no.1
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• pp.31-51
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• 2024

The purpose of this study is to propose a design model for school library based instruction under EduTech. EduTech-based education expands learning boundaries and requires new instructional environments and learning experiences for learner-centered deeper learning. Accordingly, this study modified the ADDIE model based on the system theory and presented a four-stage instructional design model (draft) consisting of 'analysis stage, preliminary learning and development stage, learning management stage, and team teaching evaluation stage.' This model reflects elements of flipped learning, the backward design model, and inquiry-based learning to develop of customized student materials and inquiry activities. In addition, the scope of learning was expanded to include prior learning, face-to-face learning, and additional learning to increase the diversity of collaboration and opportunities to utilize school library materials. Also, Several ways for school library based instruction within EduTec were proposed in terms of teacher librarians' expertise, school library space, budget, standard curriculum development, and comprehensive support system for reading education.

• Journal of Korea Water Resources Association
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• v.47 no.6
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• pp.501-511
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• 2014

The effects of initial conditions and input values of the rainfall-runoff model were studied in the applications of a lumped concept model for flood event data extension. For the initial conditions of the rainfall-runoff model, baseflow effects and spatial distributions of saturation points ($R_{sa}$) for the storage function methods (SFM) were analyzed. In addition, researches on the effects of rainfall data conditions as input values for the rainfall-runoff model were performed. The Chungju Dam watershed was selected and divided into 3 catchments including smaller size of 22 sub-catchments. The observed discharge and inflow amounts at Yeongwol 1, Chungju Dam, and Yeongwol 2 water level stations were individually operated as criteria for flood data extension in 30 flood events from 1993 to 2009. Direct and base flow were distinguished from a stream flow. In order to test capability of flood data extension, obtained base flow was applied to the rainfall-runoff model for three water level stations. When base flow was adopted in the model, the Nash-Sutcliffe Efficiency(NSE) was increased. The numbers of over satisfaction for model performance (>0.5) were increased over 10%. Saturation points ($R_{sa}$) which strongly influence the runoff amount when rainfall starts were optimized based on the runoff amount at three water level stations. The sizes of saturation points for three locations were similar which means saturation point size is not depending on the runoff amount. The effects of rainfall information for flood runoff were tested at 2002ev1 and 2008ev1. When increased the amount of rainfall information, the runoff simulations were closer to the simulations with full of rainfall information. However, the size of improvement was not substantial on rainfall-runoff simulations in terms of the size of total amount of rainfall.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.2
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• pp.33-50
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• 2019

Cataloging principles, cataloging rules, and encoding formats should considered LRM acceptance because LRM replaced FRBR as the conceptual model. This study identifies considerations for BIBFRAME acceptance of expression and representative expression attributes in LRM by using literature reviews and expert interviews. Primarily, work in BIBFRAME without expression as entity could map to work and expression of LRM and sustain expression by linking 2 works (work and expression). Second, BIBFRAME must consider association between representative expression attributes and specific expressions whose values can be transferred to the representative expression attributes. Third, representative expression attributes are different according to work types in LRM, and language, media, intended audience, and scale, that can be used as representative expression attributes in BIBFRAME, should be changed in class. Fourth, relation properties should be articulated for expanding networks between expressions originated from work in BIBFRAME. This study analyzes LRM and BIBFRAME by focusing on expression entity and representative expression attributes. More LRM study is needed on cataloging principles and cataloging rules.

• Korean Journal of Social Welfare
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• v.68 no.4
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• pp.25-51
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• 2016

The purpose of this study was to explore the social enterprises work experience of marriage immigrant women. In-depth interviews with 10marriage immigrant women who were work at social enterprises in 'C' city were performed and analyzed by grounded theory method to configured 113 concepts and classified into 28 sub-categories 13 categories. The Central phenomenon was 'The resurgence of existence'and the Core category was 'Through the encounters of the institutional opportunities of social enterprise, experiencing a resurgence of existence and extending their presence as a Korean'. Also, Work experience of immigrant women working in social enterprises has been classified as a piggyback type, self-expandable type, co-prosperity type and situational model was presented. Based on the result, practical and policy proposal for marriage immigrant women's social enterprise employment were suggested.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.24 no.3
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• pp.166-178
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• 2012

In order to simulate storm surge for the west coast, complex physics of asymmetrical typhoon wind vortex, tide and wave are simultaneously incorporated on a fine finite element mesh extended to the North Western Pacific sea. Asymmetrical vortex based on maximum wind radii for each quadrant by JTWC's best tracks are input in pADCIRC and wave stress is accounted by dynamic coupling with unSWAN. Computations performed on parallel clusters. In hindcasting simulation of typhoon Kompasu(1007), model results of wave characteristic are very close with the observed data at Ieo island, and sea surface records at major tidal stations are reproduced with satisfaction when typhoon is approaching to the coast. It is obvious that increasing of local storm surges can be found by introducing asymmetrical vortex. Thus this approach can be satisfactorily applied in coastal hazard management against to storm surge inundation on low level area and major harbor facilities.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.39-55
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• 2019

Recently banks and large financial institutions have introduced lots of Robo-Advisor products. Robo-Advisor is a Robot to produce the optimal asset allocation portfolio for investors by using the financial engineering algorithms without any human intervention. Since the first introduction in Wall Street in 2008, the market size has grown to 60 billion dollars and is expected to expand to 2,000 billion dollars by 2020. Since Robo-Advisor algorithms suggest asset allocation output to investors, mathematical or statistical asset allocation strategies are applied. Mean variance optimization model developed by Markowitz is the typical asset allocation model. The model is a simple but quite intuitive portfolio strategy. For example, assets are allocated in order to minimize the risk on the portfolio while maximizing the expected return on the portfolio using optimization techniques. Despite its theoretical background, both academics and practitioners find that the standard mean variance optimization portfolio is very sensitive to the expected returns calculated by past price data. Corner solutions are often found to be allocated only to a few assets. The Black-Litterman Optimization model overcomes these problems by choosing a neutral Capital Asset Pricing Model equilibrium point. Implied equilibrium returns of each asset are derived from equilibrium market portfolio through reverse optimization. The Black-Litterman model uses a Bayesian approach to combine the subjective views on the price forecast of one or more assets with implied equilibrium returns, resulting a new estimates of risk and expected returns. These new estimates can produce optimal portfolio by the well-known Markowitz mean-variance optimization algorithm. If the investor does not have any views on his asset classes, the Black-Litterman optimization model produce the same portfolio as the market portfolio. What if the subjective views are incorrect? A survey on reports of stocks performance recommended by securities analysts show very poor results. Therefore the incorrect views combined with implied equilibrium returns may produce very poor portfolio output to the Black-Litterman model users. This paper suggests an objective investor views model based on Support Vector Machines(SVM), which have showed good performance results in stock price forecasting. SVM is a discriminative classifier defined by a separating hyper plane. The linear, radial basis and polynomial kernel functions are used to learn the hyper planes. Input variables for the SVM are returns, standard deviations, Stochastics %K and price parity degree for each asset class. SVM output returns expected stock price movements and their probabilities, which are used as input variables in the intelligent views model. The stock price movements are categorized by three phases; down, neutral and up. The expected stock returns make P matrix and their probability results are used in Q matrix. Implied equilibrium returns vector is combined with the intelligent views matrix, resulting the Black-Litterman optimal portfolio. For comparisons, Markowitz mean-variance optimization model and risk parity model are used. The value weighted market portfolio and equal weighted market portfolio are used as benchmark indexes. We collect the 8 KOSPI 200 sector indexes from January 2008 to December 2018 including 132 monthly index values. Training period is from 2008 to 2015 and testing period is from 2016 to 2018. Our suggested intelligent view model combined with implied equilibrium returns produced the optimal Black-Litterman portfolio. The out of sample period portfolio showed better performance compared with the well-known Markowitz mean-variance optimization portfolio, risk parity portfolio and market portfolio. The total return from 3 year-period Black-Litterman portfolio records 6.4%, which is the highest value. The maximum draw down is -20.8%, which is also the lowest value. Sharpe Ratio shows the highest value, 0.17. It measures the return to risk ratio. Overall, our suggested view model shows the possibility of replacing subjective analysts's views with objective view model for practitioners to apply the Robo-Advisor asset allocation algorithms in the real trading fields.

• Journal of the Korean Society for information Management
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• v.21 no.2
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• pp.45-67
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• 2004

The purposes of this study are to compare and analyze the evaluation indicators for selection of journal suggested by scholars and organizations and to prepare theoretical background for the ideal model to meet opposing paradigms of collection management in academic libraries. A web survey method was employed to investigate applications of various selection criteria (27 for printed and 37 for electronic academic Journal) from the top 40 academic libraries in Korea. In addition, data were analysed statistically using factor analysis, t-test, Analysis of Variance(ANOVA), and Spearman's Rank Oder Correlation. The mean ranking for 9 evaluation indicators for printed were as follows: subscribing volumes per departments, degree of use, selection authority, electronic/print bundle, ISI impact factor, Internationality and reputation, costs for subscription, ILL ＆ DDS, space considerations for printed materials. But, 11 evaluation indicators for electronic were as follows : costs for subscription, accessibility, electronic/print bundle, consortia, selection authority, access expandability, subscribing volumes per departments, scholarly features of the university, ISI impact factor, ILL ＆ DDS, internationality and reputations.

• Journal of the Korean Society for Marine Environment & Energy
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• v.16 no.3
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• pp.217-225
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• 2013

It is time to develop new renewable energy that could fundamentally replace fossil fuel, which has been increasingly needed due to environmental pollution and energy security. Korean marine bio-energy development project is planned to produce 50% of total bioenergy. This study attempts to measure the greenhouse gas emission reduction benefits of marine bio-energy development project through contingent valuation method. Single bounded dichotomous choice (SBDC) is applied with spike model. The results show that the average willingness to pay are estimated to be KRW 4,190 at SBDC, per household per year. If the result has been expanded to the region which is survey conducted, KRW 50.1 billion annually. These quantitative information can be usefully utilized in the cost benefit analysis to implement project and policy-making for the industrialization of marine bio-energy development project.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.04a
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• pp.237-240
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• 2008

Today, some bridges or highways are becoming superannuated in Korea. Also, in this section, rehabilitation, replacement and expansion are necessary to increasing traffic volumes these days. Bridge reconstruction is major problem because it has relation to civil application, economical loss and loss of vehicles made a detour while this work. Many precast components and methods of construction are developed for this issue. Many research of various precast components and new materials are being performed owing to apply to prefabrication bridges. The present paper represents experimental studies on the performance of precast CFFT pier model. Also, stay-in-place RC pier and stay-in-place CFFT pier are made an experiment on due to comparing test results. Hysteretic responses of all columns are obtained through the test. Compared with the displacement ductility factors, conclusions of seismic performances can be made.

• The Korean Journal of Applied Statistics
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• v.29 no.3
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• pp.449-462
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• 2016

This paper considers a long-run variance estimation using a block bootstrap method under strong dependence also known as long range dependence. We extend currently available methods in two ways. First, it extends bootstrap methods under short range dependence to long range dependence. Second, to accommodate the observation that strong dependence may come from deterministic trend plus noise models, we propose to utilize residuals obtained from the nonparametric kernel estimation with the bimodal kernel. The simulation study shows that our method works well; in addition, a data illustration is presented for practitioners.