• Title/Summary/Keyword: Knowledge based Engineering

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Implementation of TRL and TRA tools to Korean Construction and Transportation R&D Evaluation for Improving Practical Use (국가 건설교통 R&D 사업의 실용화 향상을 위한 기술성숙도평가 기반 R&D 평가모델 수립에 관한 연구)

  • Kim, Nam-Gyun;An, Byung-Ho;Lee, Hyun-Seok;Choi, Jae-Hong;Park, Sang-Hyuk;Kim, Yea-Sang
    • Korean Journal of Construction Engineering and Management
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    • v.13 no.4
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    • pp.110-119
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    • 2012
  • Recently as the advent of knowledge-based competition, the major industrialized countries including Korea, are expanding their R&D investment and promoting policies for diffusing of R&D performance. For this, NASA, DoD and such agencies in the United States define Technology Readiness Level (TRL) as a quantified indicator for performance management, and also impose Technology Readiness Assessment (TRA) as a evaluation system, that evaluates technology maturity using TRL. These tools are judged to be very effective in R&D projects especially with the object of practical use. When this concept is applied to the domestic national construction and transportation R&D project for the purpose of practical use, it is expected that the evaluation system overcomes its weakness of focusing only on academic results and improves significantly on intent of achieving practical use. Thus in this study, TRL/TRA implementation model of construction and transportation R&D project for achieving purpose of practical use is presented through an analysis of TRL/TRA concept and domestic national construction and transportation R&D project's characteristics and current evaluation/management system.

Feature Ranking for Detection of Neuro-degeneration and Vascular Dementia in micro-Raman spectra of Platelet (특징 순위 방법을 이용한 혈소판 라만 스펙트럼에서 퇴행성 뇌신경질환과 혈관성 인지증 분류)

  • Park, Aa-Ron;Baek, Sung-June
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.4
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    • pp.21-26
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    • 2011
  • Feature ranking is useful to gain knowledge of data and identify relevant features. In this study, we proposed a use of feature ranking for classification of neuro-degeneration and vascular dementia in micro-Raman spectra of platelet. The entire region of the spectrum is divided into local region including several peaks, followed by Gaussian curve fitting method in the region to be modeled. Local minima select from the subregion and then remove the background based on the position by using interpolation method. After preprocessing steps, significant features were selected by feature ranking method to improve the classification accuracy and the computational complexity of classification system. PCA (principal component analysis) transform the selected features and the overall features that is used classification with the number of principal components. These were classified as MAP (maximum a posteriori) and it compared with classification result using overall features. In all experiments, the computational complexity of the classification system was remarkably reduced and the classification accuracy was partially increased. Particularly, the proposed method increased the classification accuracy in the experiment classifying the Parkinson's disease and normal with the average 1.7 %. From the result, it confirmed that proposed method could be efficiently used in the classification system of the neuro-degenerative disease and vascular dementia of platelet.

Critical Review of 'Skills' in the 2015 Revised Science National Curriculum (2015 개정 과학과 교육과정의 '기능'에 대한 비판적 검토)

  • Kwon, Munho;Park, Jongseok
    • Journal of The Korean Association For Science Education
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    • v.40 no.2
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    • pp.151-161
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    • 2020
  • The 'core concepts', 'generalized knowledge', and 'skills' are newly introduced in the 'contents system' of the 2015 revised national curriculum, and the 'skills' are not clearly defined in the science curriculum. There is a problem of uniformly presenting 'skills' in all 'areas' of science subjects. In this study, it was intended that the teachers' clear understanding of the 'skills' and the philosophy of the revised curriculum would be applied to the school classrooms through the critical problem recognition and consideration of 'skills' newly introduced in the 'contents system' of the 2105 revised science curriculum. First, we reviewed 'science and engineering practice' in the NGSS, which was a reference to the introduction to the curriculum, and identified the problems of 'skills' presented in the science curriculum. It also analyzed critically by comparing 'skills' and 'practices' with other subjects and previous curriculum. Based on this critical analysis, we suggested the following. First, introduce 'skills' items that can implement scientific key competencies, and clearly define each item. Second, present 'skills' that are appropriate according to the subject, 'area', 'core concept', and grade(group) and describe in detail how to apply 'skills' and, third, present 'skills' directly in 'achievement standards'.

Evaluation of Environmental Economics on Dismantling Projects Using LCI DB (LCI DB를 활용한 해체공사 환경경제성 평가)

  • Kwon, Suk-Hyun;Kim, Kyong-Ju;Kim, Byung-Soo;Kim, Sang-Beom
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2008.11a
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    • pp.233-238
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    • 2008
  • Korea has a high volume of exhaust in environmental pollutants compared to her economic size, which results from the increase of the ratio in high energy consuming industries. There arises an issue that efficient energy saving is not achieved in the related projects of the construction, which is one of the high energy consuming industries. In addition, such projects of dismantling old and decrepit buildings are frequent in recent years. Given the situation, to obtain much better effects of energy saving, it is necessary to build basic databases and develop utilization plans on energy consumption volume, exhaust volume of pollutants, and environmental expenses that come from the dismantlement stages out of the life cycle of construction projects. Therefore, this study calculates the exhaust volume of environmental pollutants, converts it into environmental expenses by pollutants, and evaluates the environmental economics on the projects of dismantling buildings, utilizing LCI DB that is suggested by Ministry of Knowledge Economy and Ministry of Environment. For this purpose, related data research, the existing literature study, and on-the-spot field investigation were conducted. Based on the results of analysis on the collected data, the environmental economics of the target building was evaluated.

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A Comparative Study on the Infinite NHPP Software Reliability Model Following Chi-Square Distribution with Lifetime Distribution Dependent on Degrees of Freedom (수명분포가 자유도에 의존한 카이제곱분포를 따르는 무한고장 NHPP 소프트웨어 신뢰성 모형에 관한 비교연구)

  • Kim, Hee-Cheul;Kim, Jae-Wook
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.10 no.5
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    • pp.372-379
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    • 2017
  • Software reliability factor during the software development process is elementary. Case of the infinite failure NHPP for identifying software failure, the occurrence rates per fault (hazard function) have the characteristic point that is constant, increases and decreases. In this paper, we propose a reliability model using the chi - square distribution which depends on the degree of freedom that represents the application efficiency of software reliability. Algorithm to estimate the parameters used to the maximum likelihood estimator and bisection method, a model selection based on the mean square error (MSE) and coefficient of determination($R^2$), for the sake of the efficient model, were employed. For the reliability model using the proposed degree of freedom of the chi - square distribution, the failure analysis using the actual failure interval data was applied. Fault data analysis is compared with the intensity function using the degree of freedom of the chi - square distribution. For the insurance about the reliability of a data, the Laplace trend test was employed. In this study, the chi-square distribution model depends on the degree of freedom, is also efficient about reliability because have the coefficient of determination is 90% or more, in the ground of the basic model, can used as a applied model. From this paper, the software development designer must be applied life distribution by the applied basic knowledge of the software to confirm failure modes which may be applied.

Flower Color Modification by Manipulating Flavonoid Biosynthetic Pathway (플라보노이드 대사 조절을 통한 화색 변경)

  • Lim, Sun-Hyung;Kim, Jae-Kwang;Kim, Dong-Hern;Sohn, Seong-Han;Lee, Jong-Yeol;Kim, Young-Mi;Ha, Sun-Hwa
    • Horticultural Science & Technology
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    • v.29 no.6
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    • pp.511-522
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    • 2011
  • Flower color is one of the main target traits in the flower breeding. Recently, technological advances in genetic engineering have been successfully reported the flower colors, such as blue roses and blue carnations that are impossible to develop by traditional breeding. Accumulated knowledge-based approaches for flavonoid biosynthesis enabled to introduce novel and unique colors into flowers. These flower color modifications have been made through the regulation of flavonoid metabolic pathway - control of endogenous gene expression and introduction of foreign genes to produce novel and specific flavonoids - and the introduction of transcription factors that are known to regulate sets of genes being involving in the flavonoid biosynthetic pathway. More empirical regulation of the flavonoids metabolism requires the understanding for regulatory mechanism of intrinsic flavonoids depending on the flower crops and the very sophisticated control of flavonoid metabolic flow. In this review, we summarized successful examples of flower color modification. It might be useful to deduce the strategy for the creation of exquisite colors in flower plants.

Methodology of Shape Design for Component Using Optimal Design System (최적설계 시스템을 이용한 부품에 대한 형상설계 방법론)

  • Lee, Joon-Seong;Cho, Seong-Gyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.672-679
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    • 2018
  • This paper describes a methodology for shape design using an optimal design system, whereas generally a three dimensional analysis is required for such designs. An automatic finite element mesh generation technique, which is based on fuzzy knowledge processing and computational geometry techniques, is incorporated into the system, together with a commercial FE analysis code and a commercial solid modeler. Also, with the aid of multilayer neural networks, the present system allows us to automatically obtain a design window, in which a number of satisfactory design solutions exist in a multi-dimensional design parameter space. The developed optimal design system is successfully applied to evaluate the structures that are used. This study used a stress gauge to measure the maximum stress affecting the parts of the side housing bracket which are most vulnerable to cracking. Thereafter, we used a tool to interpret the maximum stress value, while maintaining the same stress as that exerted on the spot. Furthermore, a stress analysis was performed with the typical shape maintained intact, SM490 used for the material and the minimizing weight safety coefficient set to 3, while keeping the maximum stress the same as or smaller than the allowable stress. In this paper, a side housing bracket with a comparably simple structure for 36 tons was optimized, however if the method developed in this study were applied to side housing brackets of different classes (tons), their quality would be greatly improved.

Data Mining based Forest Fires Prediction Models using Meteorological Data (기상 데이터를 이용한 데이터 마이닝 기반의 산불 예측 모델)

  • Kim, Sam-Keun;Ahn, Jae-Geun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.8
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    • pp.521-529
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    • 2020
  • Forest fires are one of the most important environmental risks that have adverse effects on many aspects of life, such as the economy, environment, and health. The early detection, quick prediction, and rapid response of forest fires can play an essential role in saving property and life from forest fire risks. For the rapid discovery of forest fires, there is a method using meteorological data obtained from local sensors installed in each area by the Meteorological Agency. Meteorological conditions (e.g., temperature, wind) influence forest fires. This study evaluated a Data Mining (DM) approach to predict the burned area of forest fires. Five DM models, e.g., Stochastic Gradient Descent (SGD), Support Vector Machines (SVM), Decision Tree (DT), Random Forests (RF), and Deep Neural Network (DNN), and four feature selection setups (using spatial, temporal, and weather attributes), were tested on recent real-world data collected from Gyeonggi-do area over the last five years. As a result of the experiment, a DNN model using only meteorological data showed the best performance. The proposed model was more effective in predicting the burned area of small forest fires, which are more frequent. This knowledge derived from the proposed prediction model is particularly useful for improving firefighting resource management.

Rapid Education and Training Methodology for North Korean Construction Workers through a Survey (설문조사를 통한 북한 건설노동자의 급속 양성 교육·훈련 방안)

  • Jung, In-Su;Lee, Giu;Kim, Keum-Ji;Park, Hyeong-Geun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.8
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    • pp.407-416
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    • 2020
  • North Korea's demand for infrastructure construction and maintenance is growing rapidly. On the other hand, the number of skilled workers is insufficient. Therefore, through a survey of North Korean defectors, this study analyzed the status of construction technology and the difficulties of construction workers. In addition, an attempt was made to derive an appropriate education and training program process and operation plan. As a result of the survey, the reason for the low technical level of construction workers was the lack of skills, lack of motivation to work, and the lack of training and management systems. The appropriate education and training period was 56% of the total response within one year and 36% within six months. Based on the results of this survey, the period of education and training for the rapid training of construction technical personnel in North Korea was adopted as one year. Moreover, compared to the NCS standard in South Korea, appropriate training hours were suggested, excluding training courses, such as planning and design, construction management that require specialized knowledge. Finally, the curriculum corresponding to the education and training courses and the standards for facility names and required areas for facility operation were suggested.

The Roles of Electrolyte Additives on Low-temperature Performances of Graphite Negative Electrode (전해액 첨가제가 흑연 음극의 저온특성에 미치는 영향)

  • Park, Sang-Jin;Ryu, Ji-Heon;Oh, Seung-Mo
    • Journal of the Korean Electrochemical Society
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    • v.15 no.1
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    • pp.19-26
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    • 2012
  • SEI (solid electrolyte interphase) layers are generated on a graphite negative electrode from three different electrolytes and low-temperature ($-30^{\circ}C$) charge/discharge performance of the graphite electrode is examined. The electrolytes are prepared by adding 2 wt% of vinylene carbonate (VC) and fluoroethylene carbonate (FEC) into a standard electrolyte solution. The charge-discharge capacity of graphite electrode shows the following decreasing order; FEC-added one>standard>VC-added one. The polarization during a constant-current charging shows the reverse order. These observations illustrate that the SEI film resistance and charge transfer resistance differ according to the used additives. This feature has been confirmed by analyzing the chemical composition and thickness of three SEI layers. The SEI layer generated from the standard electrolyte is composed of polymeric carbon-oxygen species and the decomposition products ($Li_xPF_yO_z$) of lithium salt. The VC-derived surface film shows the largest resistance value even if the salt decomposition is not severe due to the presence of dense film comprising C-O species. The FEC-derived SEI layer shows the lowest resistance value as the C-O species are less populated and salt decomposition is not serious. In short, the FEC-added electrolyte generates the SEI layer of the smallest resistance to give the best low-temperature performance for the graphite negative electrode.