• 한국수자원학회논문집
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• 제32권3호
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• pp.247-254
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• 1999

우리 나라 주요 우량관측소 22개 지점의 매년 최대치 강우자료에 대하여 빈도해석을 실시하였다. 매개변수 추정방법은 모멘트법, 확률가중 모멘트법, 최우도법 등이며, 매개변수 적합성, 도시적 해석, 분리효과, 적합도 검정결과 GEV 분포가 우리 나라 강우자료에 대하여 가장 적합한 확률분포형으로 나타났다. 선정된 GEV 분포형을 모집단의 확률분포형으로 가정하여 재현기간별 확률강우량을 산정하므로써 지역적 해석을 실시하였으며, 정확도 있는 선형화 기법을 통해 회귀분석을 실시하여 확률강두강도식을 유도하였다. 본 연구에서 유도된 확률강우강도식은 실무차원에서 임의 지속기간의 재현기간별 확률강우량을 간편하게 구할 수 있을 것으로 판단된다.

• 대한본초학회지
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• 제29권6호
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• pp.27-33
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• 2014

Objectives : The aims of this study were to exploring the therapeutic effect of Imperatae Rhizoma Extract(IRE) on Asthma. Methods : To investigate biological modulation activities of IRE, we conducted the cell-based assay whether IRE could regulate T helper 2 cells activity with EL4 T cells and mouse splenocytes, and followed animal study to conform the efficacy of their therapeutic potential on OVA-induced asthmatic mouse. Results : In cell study, IRE suppress the nuclear translocation of GATA binding protein-3 protein in phorbol 12-myristate 13-acetate/Ionomycin-stimulated EL4 T cells and Interleukine(IL)-4, IL-5 and IL-13 production in splenocytes at concentration dependent manner. In animal study, IRE-treated groups both 100mg/ml and 200mg/ml improve airway hypersensitibility reaction(AHR) response to methacholine about 30% and 40% with positive control group. Peritoneal blood analysis reveal that eosinophil number and ovalbumin-specific IgE is reduced by IRE treatment. Cell number of eosinophil is also reduced in bronchoalveolar lavage of IRE group like to peritoneal cell and real time-polymerase chain reaction data show that expression levels of IL-4, IL-5 and IL-13 were down regulated in lung tissue. Finally, histological analysis indicate that IRE protect the bronchial tissue damages through the accumulation of inflammatory cells and collagen, and these effect may be cause by interfering Th2 cells activity. Conclusions : Our data represent that IRE potentiates therapeutic activities to the allergic diseases such as asthma by regulating Th2 cells differentiation.

• 시스템엔지니어링학술지
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• 제7권1호
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• pp.57-69
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• 2011

Reliability means that a product maintains its initial quality and performance at certain period of time(time, distance, cycle etc) under given condition without failure. Given conditions include both environmental condition and operating condition. Environmental condition means common natural environment such as temperature, humidity, vibration, and working condition means artificial environment such as voltage, current load, install place, hours of use, which occurs during using the product. In the field of railway vehicles, although components of railway vehicles with reliability are the trend of mandatory as persisting period of railway vehicles is extended, using components of railway vehicles is insufficient for the practical reliability assessment. but the meaning of the first railway operating agency to acquire the parts in the field, the data suggest the reliability of products if you can and can show the reliability of modular units and modular units can provide the reliability of if you can present reliability of the entire system is thought to be here In this study, lifespan of micro-switch for master controller is analyzed and prediction is performed based on its field data considering the special circumstances of railway vehicles operating agency, such as a large number of trains operates on the same line.

• Journal of Periodontal and Implant Science
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• 제33권3호
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• pp.359-372
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• 2003

Among objectives of periodontal therapy. the principal one is the morphological and functional reconstruction of lost periodontal supporting tissues. This includes de novo formation of connective tissue attachment and the regrowth of alveolar bone. The use of enamel matrix derivative(EMD) may be a suitable means of regeneration new periodontal attachment in the infrabony defects. Implant used to replace lost tooth but, implantitis occurred after installation. The purpose of this study was to investigate the effects of EMD on differentiation and growth of osteoblast in titanium disc. Twentyfive millimeter diameter and 1mm thick Ti disc which was coated 25, 50, 100, 200${\mu}g$/ml of EMD(Emdogain(R)) used as experimental group, 25, 50, 100, 200ng/d of rhBMP-2 as positive control group, and no coat as negative control group. A human osteosarcoma cell line Saos-2 was cultured in Ti disc and cell proliferation and Alkaline phosphatase (ALP) activity were measured at 1 and 6 days. PCR was performed at 2 and 8 hours. Semi-quantitative RT-PCR for mRNA expressions of various osteoblastic differentiation markers -type I collagen, ALP, osteopontin, and bone sialoprotein - were performed at appropriate concentrations based upon the results of MTT and ALP assay. Cultured cell-disc complexes were prepared for scanning electron microscopy (SEM) at 2 hour. Data were analyzed using Mann-Whitney and repeated- measures 1-way analysis of variance(SPSS software version 10,SPSS. Chicago. IL). After culture, there was more osteoblast in EMD100${\mu}g$/ml than in EMD50, 200${\mu}g$/ml on day 6. There was significant difference in experimental and positive control group compared control group, as times go by(1 and 6 days). Alkaline phosphatase activity was different significantly in EMD100, 200${\mu}g$/ml and BMP100, 200${\mu}g$/ml on day 6. The results of reverse transcriptase-polymerase chain reaction (RT-PCR) showed that expression of mRNA for ALPase, collagen type I, osteopontin. hone sialoprotein and BMP-2 was detected at 2 hour and 8 hour in EMI 200${\mu}g$/ml subgroup and BMP100ng/ml subgroup. The results of this study suggest that application of enamel matrix derivative on osteoblast attached to titanium surface facilitate the expression of bone specific protein and the differentiation and growth of osteoblast.

• 대한물리치료과학회지
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• 제19권1호
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• pp.63-69
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• 2012

Background : The purpose of this study was to investigate the frequency domain characteristics of ground reaction forces during quiet standing on inclined surfaces twenty healthy individuals(10 elderly women $68.78{\pm}3.29$ years and 10 young women $20.90{\pm}0.74$ years) participated. Methods : Subjects stood in quiet stance over a force platform positioned in one of three different fixed positions: flat, down and up. Healthy participants completed with eyes open for 120 s trials. Evaluation of postural control were generally based on the interpretation of center of pressure(COP) time series. The COP have been determined using an experimental setup with 3D kinematic and the ground reaction force system. All the data were expressed means and standard deviation by using SAS package program. Results : SEF 50% were not significant in AP and ML direction according to surface slope of both groups. SEF 95% were showed highest frequency in AP direction on down slope of both groups. MEF were not significant all direction according to surface slopes of elderly women. There was no difference between young and elderly women. Conclusion : Elderly women used to ankle strategy during a quiet stance according to COP perturbation of AP direction showed more expanded than ML direction. SEF 95% were showed highest frequency on down slope in elderly women who showed more used ankle strategy for postural control on down slope.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.93-96
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• 2022

Natural language processing (NLP) is utilized to understand a natural text. Text analysis systems use natural language algorithms to find the meaning of large amounts of text. Text classification represents a basic task of NLP with a wide range of applications such as topic labeling, sentiment analysis, spam detection, and intent detection. The algorithm can transform user's unstructured thoughts into more structured data. In this work, a text classifier has been developed that uses academic admission and registration texts as input, analyzes its content, and then automatically assigns relevant tags such as admission, graduate school, and registration. In this work, the well-known algorithms support vector machine SVM and K-nearest neighbor (kNN) algorithms are used to develop the above-mentioned classifier. The obtained results showed that the SVM classifier outperformed the kNN classifier with an overall accuracy of 98.9%. in addition, the mean absolute error of SVM was 0.0064 while it was 0.0098 for kNN classifier. Based on the obtained results, the SVM is used to implement the academic text classification in this work.

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2023년도 임시총회 및 춘계학술대회
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• pp.41-41
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• 2023

Red pepper (Capsicum annuum L.) is one of the most consumed vegetable worldwide. In this study, we tried to suggest the possibility of Cheongyang pepper as a functional cosmetic material by identifying the physiological activity, especially antioxidant and whitening effects of Cheongyang pepper through bibliometric analysis and experimental studies. A bibliometric analysis was performed through co-word analysis of 8,892 papers retrieved from SCOPUS. 4 research fields were obtained by cluster mapping from VOSviewer software, among which we noted the antioxidant activity of extracts from Capsicum annum L.. Phenol as a useful ingredient of Cheongyang pepper was analyzed using HPLC (high-performance liquid chromatography). Antioxidant and whitening effects were evaluated by measuring DPPH (2,2-diphenyl-1-picrylhydrazyl) radical scavenging activity, hydrogen peroxide scavenging activity, and tyrosinase inhibitory activity. Cheongyang pepper extract showed contents of 0.106 ± 0.01 and 0.105 ± 0.02 mg/g, respectively, in the order of gallic acid and protocatechuic acid. The extract exhibited 56.95% DPPH scavenging activity and 43.97% hydrogen peroxide scavenging activity at a concentration of 1,000 ㎍/ml. In addition, 1,000 ㎍/ml of the extract inhibited tyrosinase activity by 52.44% and 42.61%, respectively in a whitening efficacy test using L-tyrosine and L-DOPA (L-3,4- dihydroxyphenylalanine) as substrates. These results suggest that Cheongyang pepper extract and its active ingredients have antioxidant and whitening effects, and the possibility of future development as a whitening functional cosmetic material.

• 한국인공지능학회지
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• 제11권2호
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• pp.7-17
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• 2023

Artificial Intelligence (AI) technology has already penetrated deeply into our daily lives, and we live with the convenience of it anytime, anywhere, and sometimes even without us noticing it. However, because AI is imitative intelligence based on human Intelligence, it inevitably has both good and evil sides of humans, which is why ethical principles are essential. The starting point of this study is the AI principles for companies or organizations to develop products. Since the late 2010s, studies on ethics and principles of AI have been actively published. This study focused on AI principles declared by global companies currently developing various products through AI technology. So, we surveyed the AI principles of the Global 500 companies by market capitalization at a given specific time and collected the AI principles explicitly declared by 46 of them. AI analysis technology primarily analyzed this text data, especially LDA (Latent Dirichlet Allocation) topic modeling, which belongs to Machine Learning (ML) analysis technology. Then, we conducted a Delphi technique to reach a meaningful consensus by presenting the primary analysis results. We expect to provide meaningful guidelines in AI-related government policy establishment, corporate ethics declarations, and academic research, where debates on AI ethics and principles often occur recently based on the results of our study.

• 한국식품과학회지
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• 제21권3호
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• pp.387-390
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• 1989

과채류 자동저장용 마이크로프로세서 제어장치를 활용하여 밀감의 저장시 발생되는 호흡량 및 중량감소를 자동 계측하였다. 중량감소는 스트레인게이지 load cell 장치를, 탄산가스는 적외선 가스분석기로 계측하고 계측신호를 컴퓨터에 접속하여 on-line화 하였다. 과일저장 조건과 계측시간 주기의 설정은 Z-80 마이크로프로세서와 컴퓨터간의 handshaking 정보교환 방식으로 수행할 수 있도록 하고 계측자료는 마이크로컴퓨터의 data file로써 자동기록 및 분석가능한 운영프로그램을 개발하였다. 건전한 것과 상처를 낸 감귤을 $20^{\circ}C$에서 4일간 저장하면서 호흡량을 비교하여 본 결과 건전한 감귤은 3-5ml $CO_2/kg{\cdot}hr$를 유지한 반면 상처를 낸 감귤의 경우는 50시간 이후부터 호흡량의 급격한 증가를 보였다. 한편 중량감소는 60시간 동안 건전한 감귤의 경우 거의 변화가 없었으나 상처를 낸 감귤의 경우 호흡량의 중가와 더불어 약 5%의 무게감소를 나타내었다.

• Journal of Information Science Theory and Practice
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• 제10권spc호
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• pp.143-153
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• 2022

With the development of networks and the increase in the number of network devices, the number of cyber attacks targeting them is also increasing. Since these cyber-attacks aim to steal important information and destroy systems, it is necessary to minimize social and economic damage through early detection and rapid response. Many studies using machine learning (ML) and artificial intelligence (AI) have been conducted, among which payload learning is one of the most intuitive and effective methods to detect malicious behavior. In this study, we propose a preprocessing method to maximize the performance of the model when learning the payload in term units. The proposed method constructs a high-quality learning data set by eliminating unnecessary noise (stopwords) and preserving important features in consideration of the machine language and natural language characteristics of the packet payload. Our method consists of three steps: Preserving significant special characters, Generating a stopword list, and Class label refinement. By processing packets of various and complex structures based on these three processes, it is possible to make high-quality training data that can be helpful to build high-performance ML/AI models for security monitoring. We prove the effectiveness of the proposed method by comparing the performance of the AI model to which the proposed method is applied and not. Forthermore, by evaluating the performance of the AI model applied proposed method in the real-world Security Operating Center (SOC) environment with live network traffic, we demonstrate the applicability of the our method to the real environment.