• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.4
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• pp.319-326
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• 2006

To get the highly-accurate and precise position of a GPS receiver, they should consider the state-of-the-art GPS force and measurement models. Especially, the phase center variations (PCV) of a GPS antenna can cause several centimeters of positioning errors in the vertical direction. In this study, we implemented four different models of PCV and evaluated their impact on the computed coordinates. The test data were taken from the 14 National Geography Information Institute permanent GPS stations and 30 Minisry of Government Administration and Home Affairs sites. For different combinations of calibration methods, an average of 1.3-2.6cm of height difference was observed. Also, we found a maximum error of ${\sim}4mm$ in the estimates of the precipitable water vapors.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.578-585
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• 2011

Nowadays, wireless local area networks are widely deployed so that stations can potentially associate with an access point. The AP selection strategy is one of the significant research areas for wireless local area networks. The selection strategy solves the relevant problem is which AP can be selected and associated with a station so that the efficient resource utilization can be obtained. Rather than merely choosing the AP with the strongest received signal strength, however, we calculate effective throughput for each neighboring AP and use it as a basis for AP selection. Referencing the throughput is better than referencing the signal strength only because the network may contain a severe load imbalance. We have performed computer simulations using OPNET modeler in order to verify the performance of the proposed scheme. The results show us that the proposed selection method outperforms that of the conventional one in terms of throughput and delay.

• Applied Chemistry for Engineering
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• v.33 no.4
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• pp.431-435
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• 2022

The reduction of nitrogen-containing compounds (NC) containing the model crude methylnaphthalene oil (CMNO) of 5 compounds system was experimentally studied by solvent extraction. The model CMNO consisting of 3 kinds of NC including quinolone (QU), iso-quinoline (IQU), indole(IN) and 2 kinds of bicyclic aromatic compounds such as 1-methylnaphthalene (1MNA), 2-methylnaphthalene (2MNA) as raw materials, as well as the aqueous solution of formamide as a solvent, were used. The increase in the volume fraction of water to the solvent at the initial state (y_w,0) sharply decreased, but the distribution coefficient and the yield of NC conversely increased the selectivity of NC based on 2MNA, and an increase in the volume fraction of solvent to feed (S/F) simultaneously increased the distribution coefficient, yield and selectivity of NC. The yields of QU, IQU and IN under constant conditions (y_w,0 = 0.1, S/F = 1, equilibrium temperature 303 K) were 30%, 31% and 10%, respectively, and selectivity was 15, 15 and 20, respectively. From the excellent yield and selectivity of NC, the formamide extraction method of this study was expected as a method for reducing the NC contained in the model CMNO.

• Journal of the Earthquake Engineering Society of Korea
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• v.10 no.1 s.47
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• pp.1-8
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• 2006

Nonseismic designed RC frame have a possibility of shear failure because of deficiencies of reinforcing details. To model the shear failure in numerical analysis, shear strength degradation models which Include Moehle's and ATC 40 are compared and applied to push-over analysis. For numerical analysis, three storied building frame is selected and designed according to Korean Concrete Design Code(2003). As results, It is shown that Moehle's shear strength degradation model estimates the shear strength lower than NZSEE model and has less variation than ATC 40 model and all the shear strengths of models are greater than the nominal shear strength of ACI 318. Also, from the numerical analysis, it is pointed out that there may be great difference in lateral drift capacity if a different shear strength model is used. And the capacity can be severely underestimated if the restraining model of plastic rotation of ATC 40 is used, compared to the use of shear spring model for shear degradation.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.6
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• pp.83-93
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• 2012

Technology assessment is one of the most challenging decision making areas that companies face nowadays. According to increase the importance of technology selection, it has been a main issue for the decision makers whether an appropriate technology selection will be successful or not. Therefore, in this study, a technology assessment model using BSC and ANP method was proposed. The technology assessment model consist of three phase. In first phase, various factors, that have an influence on technology assessment, were taken into consideration. Based on the extracted BSC process, the strategies and critical success factors and performance measures were extracted for selecting the technology. And in second phase, the ANP method used to integrate opinions of experts' and evaluate technology alternatives controls tangible and intangible criteria, allows for more complex inter-relationship among decision levels and deals with ambiguity involved in the assessment process. In the lase phase, according to the result of before phase, decision makers select the appropriate technology. Furthermore, the proposed model was applied in the public service for validating the feasibility of the assessment model. The criteria and proposed performance measures informs the method and focus areas for developing the technology. Furthermore, the assessment model can be applied to the other area, and give the objectivity and rationality.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.2
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• pp.137-142
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• 2010

Although multi-model speech recognizer has been shown to be quite successful in noisy speech recognition, the results were based on general speech front-ends which do not take into account noise adaptation techniques. In this paper, for the accurate evaluation of the multi-model based speech recognizer, we adopted a quite noise-robust speech front-end, AFE, which was proposed by the ETSI for the noisy DSR environment. For the performance comparison, the MTR which is known to give good results in the DSR environment has been used. Also, we modified the structure of the multi-model based speech recognizer to improve the recognition performance. N reference HMMs which are most similar to the input noisy speech are used as the acoustic models for recognition to cope with the errors in the selection of the reference HMMs and the noise signal variability. In addition, multiple SNR levels are used to train each of the reference HMMs to improve the robustness of the acoustic models. From the experimental results on the Aurora 2 databases, we could see better recognition rates using the modified multi-model based speech recognizer compared with the previous method.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.4 no.1
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• pp.63-85
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• 1996

의사 결정의 문제는 기본적으로 다수의 상충되는 기준(Criteria)하에서 최적의 대안을 선택하는 문제이며, 특히 국가나 항공사 또는 어느 기관에서 항공기의 구입시 기종 선정의 문제는 항공기 자체의 높은 가격 및 기술 파급효과, 안전성, 경쟁성 등 다수의 요인들을 심도 있게 고려하여야만 한다. 따라서 다수의 전문가 집단의 의견을 종합할 수 있다면 실패의 확률을 줄일 수 있을 것이다. 본 논문은 한국항공대학교의 훈련용 항공기의 도입 필요성이 제기됨에 따라 대상 기종인 Mooney MSE와 Cessna 172RG 기종에 대하여 현재 한국항공대학교에서 비행 교육을 담당하고 있는 운항학과 전임교수와 비행교육원 비행 교관들의 설문을 통하여 계층화 의사결정법을 이용하여 전문가 의견을 종합하였다. 계층화 의사결정법(AHP; Analytic Heirarchy Process)은 1970년대 초 T. L. Saaty에 의해 개발된 기법으로 다수의 목표, 다수의 기준, 다수의 의사결정 주체가 포함되어 있는 의사결정 문제를 계층화한 후, 상위 계층의 한 기준의 관점에서 직하위 계층의 요소들의 상대적 중요도(Relative Importance) 또는 가중치(Weight)를 쌍별비교(Pairwise Comparison)에 의해 측정하여 궁극적으로 최하위 계층의 대안의 우선순위를 구하는 기법으로 앞으로 항공기의 기종선 정시(특히 훈련용 항공기) 계층화 의사결정법(AHP)을 활용할 수 있도록 모델을 제시하고자 하였다.

• Journal of Korean Society of Transportation
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• v.22 no.7 s.78
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• pp.155-159
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• 2004

Recently, there are many trials about Artificial neural networks : ANNs structure and studying method of researches for forecasting traffic volume. ANNs have a powerful capabilities of recognizing pattern with a flexible non-linear model. However, ANNs have some overfitting problems in dealing with a lot of parameters because of its non-linear problems. This research deals with the application of a variety of model selection criterion for cancellation of the overfitting problems. Especially, this aims at analyzing which the selecting model cancels the overfitting problems and guarantees the transferability from time measure. Results in this study are as follow. First, the model which is selecting in sample does not guarantees the best capabilities of out-of-sample. So to speak, the best model in sample is no relationship with the capabilities of out-of-sample like many existing researches. Second, in stability of model selecting criterion, AIC3, AICC, BIC are available but AIC4 has a large variation comparing with the best model. In time-series analysis and forecasting, we need more quantitable data analysis and another time-series analysis because uncertainty of a model can have an effect on correlation between in-sample and out-of-sample.

• Korean Journal of Construction Engineering and Management
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• v.9 no.3
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• pp.164-174
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• 2008

It is crucial In decision making to select a project delivery system (PDS) adjusted accordingly to the project characteristics. Furthermore, selecting a tendering system is the kernel in the process of selecting PDS. In October 2007, the Ministry of Finance and the Economy of Korea launched two new project delivery systems, "Best Value Contract (Design-Bid-Build)" and "Bridging Contracts (Design-Build)" by revising enforcement ordinances of "Act on Contracts to Which the State is a Party" to provoke the tendering systems. In order to support the proposed purpose, this research developed a selection model for suitable tendering system, which helps a public owner select a tendering system appropriate to the project characteristics. First, the framework of the model was set throughout analyzing previous researches and interviewing relevant experts. Additionally, by analyzing the survey result from 265 experts engaged in architectural and civil engineering business, the relative weights of the selection factors and the effectiveness values of the alternatives were suggested as the quantitative evaluation references. Finally, the practical guideline was suggested to apply this model to three public projects scheduled to be delivered. The result of applying the model to three case projects showed that further researches were needed to make the selection process logical and to suggest the standard weights and effectiveness values according to project type.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.6
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• pp.1-11
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• 2010

The purpose of this research is to identify satisfaction levels of the arboretum which will be provided in the Multifunctional Administrative City and to estimate the economic value of using choice experiments. The attributes were "Preservation", "Education", "Recreation", "Facility", "Accessibility" and the entrance fee. The main effects model was utilized to construct hypothetical alternatives. Calibration of the conjoint choice model revealed that 'wetlands' and 'forest trails' in "Preservation" and the "Recreation", respectively, were significant variables. This result indicates that respondents are willing to pay more for these if they are provided in the arboretum. Also, 'variety seeking' tendency, age, and income level positively influenced the provision of the arboretum. Involvement in preservation of natural environment, however, had a negative influence on the establishment of the arboretum. Because this study is the first attempt to estimate the economic valuation of an urban arboretum using choice experiment, there are several suggestions for future research in terms of determining the base level and inclusion of salient attribute levels.