• 지능정보연구
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• 제9권2호
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• pp.19-38
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• 2003

In this research, we propose the mechanism to develop self-evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most researchers had tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, this approach had some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, knowledge engineers had tried to develop an automatic knowledge extraction mechanism. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference engine. Our proposed mechanism has five advantages. First, it can extract and reduce the specific domain knowledge from incomplete database by using data mining technology. Second, our proposed mechanism can manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it can construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems) module. Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy relationships. Fifth, RDB-driven forward and backward inference time is shorter than the traditional text-oriented inference time.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2003년도 Proceeding
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• pp.99-104
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• 2003

In this research, we proposed the mechanism to develop self evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most former researchers tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, thy have some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, many of researchers had tried to develop an automatic knowledge extraction and refining mechanisms. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, in this study, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference. Our proposed mechanism has five advantages empirically. First, it could extract and reduce the specific domain knowledge from incomplete database by using data mining algorithm. Second, our proposed mechanism could manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it could construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems). Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy logic. Fifth, RDB-driven forward and backward inference is faster than the traditional text-oriented inference.

• Tuberculosis and Respiratory Diseases
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• 제60권2호
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• pp.187-193
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• 2006

배 경 : 결핵균의 성장 속도가 늦은 이유가 mammalian cell이나 대장균에 비해 결핵균 AK의 매우 낮은 활성도에 의한 것이라는 추측으로부터 AK1과 유사한 촉매능을 나타내는 AKmt 돌연변이 유전자와 human muscle-type AK 합성 유전자(AK1)를 각각 Mycobacterium/E.coli 발현벡터에 재조합(pMVAKmtDM, pEMAK1)하여 성장 속도가 매우 느린 BCG에 형질전환함으로써 이들 단백질들의 촉매능에 의한 성장 속도 변화가 일어나는지를 확인하고자 하였다. 방 법 : Human AK1의 촉매 활성도와 유사하도록 결핵균 AK (AKmt)유전자의 ATPbd와 LID domain을 돌연변이하여 제조한 유전자(AKmtDM)와 human muscle-type adenylate kinase 합성 유전자(AK1)를 Mycobacterium/E.coli 발현벡터에 클로닝하여 재조합 BCG를 제조하였고, 이들 재조합 BCG와 BCG Pasteur $1173P_2$ (wild-type)를 7H9 액체배지에 접종하여 2-3 일 간격으로 $A_{600}$ 값을 측정하였다. 결 과 : 재조합 BCG의 성장 속도는 Wild-type BCG의 성장 속도에 비해 변화가 없었다. 결 론 : 결핵균 adenylate kinase의 정확한 기능은 알 수 없으나, adenylate kinase의 촉매 활성도의 증가는 BCG의 성장 속도에는 영향을 주지 않는 것으로 판단된다.

• Journal of Power Electronics
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• 제12권4호
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• pp.632-642
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• 2012

This paper presents a filter analysis of conducted Electro-Magnetic Interference (EMI) in switching power converters (SPC) based on noise impedances. The EMI characteristics of SPC can be analytically deduced from a circuit theoretical viewpoint. The analytical noise model is investigated to get a full understanding of the EMI mechanism. It is shown that with suitable and justified model, filters pertinent to EMI noise is investigated. The EMI noise is identified by time domain measurements associated with an isolated half-bridge ac-dc converter. Practical filters like LC filter, ${\pi}$ filter and complete EMI filters are investigated. The proposed analysis and results can provide a guideline for improving the effectiveness of filtering schemes in SPC. Experimental results are also included to verify the validity of the proposed method. The results obtained satisfy the Federal Communications Commission (FCC) class A and class B regulations.

• 한국수정란이식학회:학술대회논문집
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• 한국수정란이식학회 2003년도 제3회 발생공학 국제심포지움 및 학술대회
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• pp.64-64
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• 2003

• 동의생리병리학회지
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• 제20권6호
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• pp.1732-1741
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• 2006

Obesity is chronic disease which influenced on health severly. The causes of obesity have been known as life change, lack of excercise, genetic factor, mental and social economic factors. Especially the obesity of women increased the risk of the diseases such as DM, osteoarthritis, cardiovascular disease, breast cancer and infertility. The limitations of the widely used negative definition of health as the absence of disease and WHO's 1946 definition of health as total social, psychological and physical well-being have long been recognized (WHO 1958). The Quality of Life (QoL) includes functional ability, the degree and quality of social and community interaction, psychological well-being as somatic sensation and life satisfaction. I investigated to compare the differences between obese women (n=63), non-obese women (n=37) in clinic and general women (n=43, control) on baseline characteristics and WHO QoL-BREF. The purpose of this study is to assist the diagnosis and treatment of obesity. WHO QoL-BREF is self administered type which consisted of 26 questions. The prospective question is calculated with 5 scores by Likert's method. The results are as follows : The means of physical, psychological, social, overall and total scores of QoL were significant among BMI group (P<0.05). The score of control group (BMI < 25) was higher than other groups significantly (P<0.05). In multiple regression analysis, the variable of high school/below middle school was significant in environmental and overall domain of QoL scores (P<0.05). The variable of college/below middle school was significant in environmental, overall domain and total score of QoL scores (P<0.05). The variable of above university/below middle school was significant in physical health, environmental, overall domain and total score in QoL scores (P<0.05). The variable of Health perception (moderate/bad) was positively significant in physical health, environmental, overall domain and total score of QoL scores (P<0.05). The variable of Health perception (good/bed) was positively significant in physical health, environmental, social, overall domain and total score of QoL scores (P<0.05). The variable as BMI non-=obese women/control was negatively significant in social domain of QoL scores (P<0.05). Above the results, It suggests that the variable as BMI did't affect on the QoL in patients and control, but the variables as education and health perception affected on the QoL scores. Further study is required to conduct QoL differences between before and after treatment of obese patients.

• 자원환경지질
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• 제27권3호
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• pp.263-279
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• 1994

Paleomagnetic and rock-magnetic data of Cretaceous sedimentary and volcanic rocks from the Euiseong area indicate that the stable components of remanence are carried by single and pseudo-single domain magnetite, with the exception of the Shinyangdong Formation which has been remagnetized. The Hayang Group, except for the remagnetized Shinyangdong Formation, yields the mean characteristic direction of $D/I=22.5^{\circ}/57.2^{\circ}$ (${\alpha}_{95}=4.6^{\circ}$, N=14 sites) and the pole position is $72.0^{\circ}N$, $206.4^{\circ}E$ ($dp/dm=4.9^{\circ}/6.7^{\circ}$). The Yucheon Group shows two polarities and the mean characteristic direction of $D/I=351.2^{\circ}/60.5^{\circ}$ (${\alpha}_{95}=11.2^{\circ}$, N= 19 sites) and the pole position is $81.3^{\circ}N$, $79.0^{\circ}E$ ($dp/dm=13.0^{\circ}/17.0^{\circ}$). The mean directions of both the Hayang and the Yucheon Groups are supported by the McElhinny's fold test at the 99% confidence level and that of the Yucheon Group by a reversal test at the 95% confidence level. A magnetostratigraphic correlation between polarities of the study formations and the Geomagnetic Time Scale indicates that the Hayang Group can be correlated to the Cretaceous Long Normal Superchron (CLNS), and the Yucheon Group to the boundary between the CLNS and the Polarity Chron 33R or later boundaries between normal and reverse polarities. Comparison of the paleopoles from this study with those from the surrounding areas both within the Gyeongsang basin and in the northeastern Asia indicates that the study area was not undergone significant tectonic rotations with respect to the other parts of the Gyeongsang basin and that the Korean Peninsula was the part of the single terrane of the northeastern Asia at least since the CLNS. The Yucheon Group can be divided into four sub-groups based on the paleomagnetic data, suggesting that there were at least four times of volcanic activities in the study area.

• 한국해양공학회지
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• 제24권1호
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• pp.153-160
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• 2010

This paper deals with the topology optimized design of the riser support structures for floating production storage and offloading units (FPSOs) under global and local loading conditions. For a preliminary study and validation of the numerical approach, a simplified plate under static loading is first evaluated with the representative topology optimization methods, the Homogenization Design Method (HDM) and Density Method (DM) or Simple Isotropic Material with Penalization (SIMP). In the context of the corresponding riser support structures, the design problem is formulated such that structure shapes based on design domain variables are determined by minimizing the compliance subject to a mass target, considering the stress criterion. An initial design model is generated based on an actual FPSO riser support configuration. The topology optimization results present improved design performances under various loading conditions, while staying within the allowable limit of the offshore area.

• Molecules and Cells
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• 제43권4호
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• pp.373-383
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• 2020

Our previous study revealed a novel role of Fas-associated death domain-containing protein (FADD) in islet development and insulin secretion. Insulin-degrading enzyme (IDE) is a zinc metalloprotease that selectively degrades biologically important substrates associated with type 2 diabetes (T2DM). The current study was designed to investigate the effect of FADD phosphorylation on IDE. We found that the mRNA and protein levels of IDE were significantly downregulated in FADD-D mouse livers compared with control mice. Quantitative real-time polymerase chain reaction analysis showed that FADD regulates the expression of IDE at the transcriptional level without affecting the stability of the mRNA in HepG2 cells. Following treatment with cycloheximide, the IDE protein degradation rate was found to be increased in both FADD-D primary hepatocytes and FADD-knockdown HepG2 cells. Additionally, IDE expression levels were reduced in insulin-stimulated primary hepatocytes from FADD-D mice compared to those from control mice. Moreover, FADD phosphorylation promotes nuclear translocation of FoxO1, thus inhibiting the transcriptional activity of the IDE promoter. Together, these findings imply a novel role of FADD in the reduction of protein stability and expression levels of IDE.

• 품질경영학회지
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• 제51권4호
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• pp.551-571
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• 2023

Purpose: The purpose of this study is to propose useful suggestions by analyzing the causal effect relationship between the failure rate of quality and the process variables in the C5ISR domain of the defense industry. Methods: The collected data through the in house Systems were analyzed using Big data analysis. Data analysis between quality data and A/S history data was conducted using the CRISP-DM(Cross-Industry Standard Process for Data Mining) analysis process. Results: The results of this study are as follows: After evaluating the performance of candidate models for the influence of inspection data and A/S history data, logistic regression was selected as the final model because it performed relatively well compared to the decision tree with an accuracy of 82%/67% and an AUC of 0.66/0.57. Based on this model, we estimated the coefficients using 'R', a data analysis tool, and found that a specific variable(continuous maximum discharge current time) had a statistically significant effect on the A/S quality failure rate and it was analysed that 82% of the failure rate could be predicted. Conclusion: As the first case of applying big data analysis to quality issues in the defense industry, this study confirms that it is possible to improve the market failure rates of defense products by focusing on the measured values of the main causes of failures derived through the big data analysis process, and identifies improvements, such as the number of data samples and data collection limitations, to be addressed in subsequent studies for a more reliable analysis model.