• Korean Journal of Construction Engineering and Management
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• v.17 no.5
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• pp.78-88
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• 2016

Recently BIM technology has been expanded for using in construction project. However its spread has been delayed than the initial expectations, due to the high-cost of BIM infrastructure development, the lack of regulations, the lack of process and so forth. In design phase, especially, collaboration based on BIM system has being a key factor for successful next generation building project. Through the analysis of current research trend about IT technologies, virtualization and BIM service, data exchange such as drawing, 3D model, object data, properties using cloud computing and virtual server system is defined as a most successful solution. In various industrial fields, cloud computing technology is utilized as a promising solution which can reduce time and cost of hardware infrastructure. Among the cloud computing technology, VDI is receiving a great deal of attention from it market as an essential part cloud computing. VDI enables to host multiple individual virtual machines by using hypervisor. It has an advantage to easy main device management. Therefore, this study implements a step-by-step user's DaaS by analyzing the desktop resource data of the workers from Pre-design phase to Schematic design, Design develop and Construction design phase. It also develops BIM environment based on test of BIM modeler and designers in architectural design firm. The goal of the study is to enable the cloud computing BIM server. It provides cost saving, high-performance quality of working environment and cooperation's convenience and high security when doing BIM work in small and medium sized architectural design firm.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.30 no.4
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• pp.329-334
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• 2017

The structures, which are made up with the huge number of degrees-of-freedom and the assembly of substructures, have a great complexity. In order to increase the computational efficiency, the analysis models have to be simplified. Many substructuring techniques have been developed to simplify large-scale engineering problems. The techniques are very powerful for solving nonlinear problems which require many iterative calculations. In this paper, a modal derivatives-based model order reduction method, which is able to capture the stretching-bending coupling behavior in geometrically nonlinear systems, is adopted and investigated for its performance evaluation. The quadratic terms in nonlinear beam theory, such as Green-Lagrange strains, can be explained by the modal derivatives. They can be obtained by taking the modal directional derivatives of eigenmodes and form the second order terms of modal reduction basis. The method proposed is then applied to a co-rotational finite element formulation that is well-suited for geometrically nonlinear problems. Numerical results reveal that the end-shortening effect is very important, in which a conventional modal reduction method does not work unless the full model is used. It is demonstrated that the modal derivative approach yields the best compromised result and is very promising for substructuring large-scale geometrically nonlinear problems.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.13-25
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• 2017

The Korean government is pursuing technological development through nearly every government agency, and Korea's growing R&D spending is yielding good results in many fields. With the country moving from the technology development stage to the demonstration stage, it is actively implementing testbed projects to demonstrate developed technologies and services. This is, however, not without problems. There is no consistent systematic system for the testbed projects because government agencies compete against each other in the planning of execution of R&D: they do not work together. The most serious problem is that both testbeds and developed technologies die out due to poor operation management after the completion of test projects. Research should, therefore, be done on operation management and commercialization. However, the government still does not consider the system after the test: it focuses on building testbeds to verify developed technologies. This study intends to determine the basic orientation of operation management to ensure maximum performance, efficiency, and continuity of national projects through intensive analysis of ongoing national R&D testbed projects and examination of success stories of operation management at home and abroad.

• Journal of Korean Elementary Science Education
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• v.18 no.1
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• pp.1-18
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• 1999

The work of teachers is tile critical element ill effective shooting. But most reform efforts have focused on tile teaching profession as a whole and effective schools. Only minimal attention has been given to the subset of teachers whose performance is marginal or incompetent, those who undermine the very concept of “educational excellence.” Teachers are the school's primary point of contact with students and, in large part, determine the educational goals and learning activities for students. How teaching is conducted has a large impact on students' abilities to educate themselves, and there is evidence that teacher quality directly affects student learning. Unfortunately, the evaluation of teachers' teaching abilities is not clear, and there are few cases that teachers has correctly feedback fly tile results of the evaluation of their abilities. In this study, we analysized and compared the teacher evaluation systems of Republic of Korea, Russian Federation, and tile United States of America. These results will be based on the improvement of tile systems. In Russian Federation, the highest year of teacher's teaching which affects on teacher's salary is 5. In the United States, it is 12-13 years. But in Korea, it is more than 30 years. That means the teachers who taught for many years are considered as competent teachers in Republic of Korea based on the economic factors of educational effects. In Russia and tile United States of America, teachers' academic backgrounds seriously affect ell teachers' salary. But ill Republic of Korea, teachers' academic background is a bit of a contribution to salary. In Russian federation, teachers' activities related to education, leaking abilities as well as academic background are also affect ell the salary. In Korea, older teachers have more advantages of salary and promotion than younger teachers. Principals and vice principals of Korea have influencing power over teachers because their judgements on teachers play an important part in teachers' promotion. But there is no such power of principals and vice principals in Russia and the United States of America. In Russian federation, the evaluation of teachers abilities is enforced periodically. The results of tile evaluation reflect on teachers' salary directly, After teachers are evaluated, some teachers can earn lower salaries than before. Teachers' academic backgrounds which affect ell teacher' salary are classified by courses. The teachers who have master degrees or dolor degrees of education earn much more money than the teachers who have master degrees and doctor degrees of pure science in Russian federation.

• Journal of KIISE:Databases
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• v.28 no.3
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• pp.279-300
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• 2001

Data mining plays an important role in knowledge discovery process and usually various existing algorithms are selected for the specific purpose of the mining. Currently, data mining techniques are actively to the statistics, business, electronic commerce, biology, and medical area and currently numerous algorithms are being researched and developed for these applications. However, in a long run, only a few algorithms, which are well-suited to specific applications with excellent performance in large database, will survive. So it is reasonable to focus our effort on those selected algorithms in the future. This paper classifies about 30 existing algorithms into 7 categories - association rule, clustering, neural network, decision tree, genetic algorithm, memory-based reasoning, and bayesian network. First of all, this work analyzes systematic hierarchy and characteristics of algorithms and we present 14 criteria for classifying the algorithms and the results based on this criteria. Finally, we propose the best algorithms among some comparable algorithms with different features and performances. The result of this paper can be used as a guideline for data mining researches as well as field applications of data mining.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.604-611
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• 2020

This study was undertaken is to improve the working conditions by improving the job satisfaction of clinical research nurses and clinical nurses involved in and conducting clinical trials. The survey was conducted from November 6 to December 6, 2017 for 100 nurses working in Seoul and Gyeonggi-do. The accumulated data were analyzed by frequency analysis, reliability verification, and t-test using the SPSS program. Our results reveal that job satisfaction was higher for clinical nurses (2.94 ± 0.609 points) as compared to clinical research nurses (2.89 ± 0.620 points). Also, the satisfaction level of salary received was higher amongst the clinical nurses than the clinical research nurses. Furthermore, although career decision was relatively lower for the clinical nurse than the clinical research nurse, the importance of job performance and job stability ranked high. Considering importance of the role of clinical research nurses in clinical trials, it is necessary to enhance their job satisfaction by improving the clinical trial environment such as appropriate treatment and professional role, and the working environment including remuneration, professional status, and administrative work to establish their jobs.

• Journal of radiological science and technology
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• v.35 no.2
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• pp.109-117
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• 2012

The purpose of this work was to evaluate an amorphous silicon cesium iodide based indirect flat-panel detector (FPD) in terms of their modulation transfer function (MTF), Wiener spectrum (WS, or noise power spectrum, NPS), and detective quantum efficiency (DQE). Measurements were made on flat-panel detector using the International Electrotechnical Commission (IEC) defined RQA3, RQA5, RQA7, and RQA9 radiographic technique. The MTFs of the systems were measured using an edge method. The WS(NPS) of the systems were determined for a range of exposure levels by two-dimensional (2D). Fourier analysis of uniformly exposed radiographs. The DQEs were assessed from the measured MTF, WS(NPS), exposure, and estimated ideal signal-to-noise ratios. Characteristic curve in the RQA3 showed difference in the characteristic curve from RQA5, RQA7, RQA9. MTFs were not differences according to x-ray beam quality. WS(NPS) was reduced with increasing dose, and RQA 3, RQA5, RQA7, RQA9 as the order is reduced. DQE represented the best in the 1mR, RQA 3, RQA5, RQA7, RQA9 decrease in the order. The physical imaging characteristics of FPD may also differ from input beam quality. This study gives an initial motivation that the physical imaging characteristics of FPD is an important issue for the right use of digital radiography system.

• Korean Journal of Microbiology
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• v.47 no.4
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• pp.308-315
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• 2011

The purpose of this work was to examine the antimicrobial activity derived from the lactic acid bacterium, UK-3 isolated from the vaginas of women of childbearing age. Various physiological and biochemical properties of this strain were characterized. Both the BIOLOG system and phylogenetic analysis using 16S rRNA sequencing were utilized for identification, and the strain was designated as Lactobacillus plantarum UK-3, and registered in GenBank as [JK266589]. Growth rate, production of organic acids (e.g., lactic acid and acetic acid), and pH during growth were monitored. The maximum concentrations of lactic acid and acetic acid were approximately 684.11 mM and 174.26 mM, respectively, and pH changed from 7.0 to 3.7 after 72 h of incubation. High performance liquid chromatography was used to confirm lactic acid and acetic acid production. Significant antimicrobial activity of the concentrated supernatant was demonstrated against various Gram-positive (e.g., Staphylococcus aureus, Staphylococcus epidermidis, Methicillin-resistant Staphylococcus aureus, Enterococcus faecalis, Neisseria species., Listeria monocytogenes), Gram-negative bacteria (e.g., Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis), and yeast (e.g., Candida albicans) by the plate diffusion method. As a result, the concentrated L. plantarum UK-3 cultures had lower acidity and inhibited the growth of all microorganisms tested, whereas the growth of L. acidophilus was not affected.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.3
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• pp.124-131
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• 2016

Baseline correction is very important due to influence on performance of spectral analysis in application of spectroscopy. Baseline is often estimated by parameter selection using visual inspection on analyte spectrum. It is a highly subjective procedure and can be tedious work especially with a large number of data. For these reasons, it is an objective and automatic procedure is necessary to select optimal parameter value for baseline correction. Asymmetrically reweighted penalized least squares (arPLS) based on penalized least squares was proposed for baseline correction in our previous study. The method uses a new weighting scheme based on the generalized logistic function. In this study, we present an automatic selection of optimal parameter for baseline correction using arPLS. The method computes fitness and smoothness values of fitted baseline within available range of parameters and then selects optimal parameter when the sum of normalized fitness and smoothness gets minimum. According to the experimental results using simulated data with varying baselines, sloping, curved and doubly curved baseline, and real Raman spectra, we confirmed that the proposed method can be effectively applied to optimal parameter selection for baseline correction using arPLS.

• 한국사회정책
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• v.25 no.1
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• pp.259-286
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• 2018

The purpose of this study is to examine which factors decide welfare exit in the hope building account program that targets low-income families. This study used the matched DB of hope ribbon program and hope building account program which is collected by central self-sufficiency foundation. As a result, the significant factors in welfare exit are main income, health(illness), licensed possession of status, education, marital status, employment and entrepreneurship, in-kind support, professional case management service, and social service. In particular, the participants who received proper social services and case management services in the program have more possibility of welfare exit than the participants who did not. It have implications in that the study found the success factors by connecting hope ribbon program and the hope building account program which has been introduced since 2010 and enlarge the scope of the performance analysis of the hope building account program. In addition, this study provides the suggestions to improve anty-poverty policy and system in the direction of providing work incentives and facilitating welfare exit and securing continuity of the hope building account program and the hope ribbon program. Specifically, this paper can be utilized as objective data in establishing a expansion of the hope building account program and suggesting the important issue for the case management in the filed.