• 천문학회지
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• 제29권spc1호
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• pp.343-344
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• 1996

Solar IR spectra have been utilised by us to derive log gf values for atomic lines due to 17 chemical elements. in the J and H bands, i.e. in the wavelength ranges 1.00 - 1.34 ${\mu}m$ and 1.49 - 1.80 ${\mu}m$ respectively. The observed central line depths were based on the FTS atlases published at. Liege and KPNO. We also reprot new log gf values for 51 lines for which neither theoretical nor experimental values are available till date.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2005년도 e-Biz World Conference 2005
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• pp.195-200
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• 2005

As the workflow systems are becoming complex and obscure, there are discrepancies between actual workflow process and designed process. Therefore, we have developed techniques for discovering workflow models. The starting point for such techniques is a so-called 'workflow log' containing information about the workflow process as it is actually being executed. This paper presents an algorithm of workflow process mining based on heuristic approach from the workflow log, which can be happen to business process system.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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• pp.465-468
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• 2002

Today large corporations are constructing distributed server environment. Many corporations are respectively operating Web server, FTP server, Mail server and DB server on heterogeneous operation. However, there is the problem that a manager must manage each server individually. In this paper, we present distributed FTP server for log mining system on ACE. Proposed log mining system is based upon ACE (Adaptive Communication Environment) framework and data mining techniques. This system provides a united operation with distributed FTP server.

• Communications for Statistical Applications and Methods
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• 제11권3호
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• pp.519-527
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• 2004

Relationship between the partial likelihood ratio statistics for logisitic models and the partial goodness-of-fit statistics for corresponding log-linear models is discussed. This paper shows how definitions of suppression in logistic model can be adapted for log-linear model and how they are related to confounding in terms of collapsibility for categorical data. Several $2{times}2{times}2$ contingency tables are illustrated.

• 한국인터넷방송통신학회논문지
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• 제17권5호
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• pp.157-163
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• 2017

데이터 탐색법 중 가장 널리 알려진 이진법은 평균과 최악의 경우 $O(log_2n)$, 보간법은 평균 $O(log_2log_2n)$, 최악의 경우 O(n)의 수행 복잡도를 갖고 있다. 또한 기존의 보간탐색법은 사전정보없이 킷값이 확률적으로 위치한 정보에 근거하여 탐색을 한다. 본 논문에서는 데이터의 MSB 인덱스를 블록으로 하는 블록탐색법으로 해당 블록범위를 결정하고, 블록 내에서는 보간법을 적용하여 탐색하는 하이브리드 블록과 보간탐색 알고리즘을 제안한다. 제안된 알고리즘은 블록탐색법의 사전 정보를 활용하여 탐색범위를 축소시키고 축소된 탐색범위내에서 무정보 방법으로 탐색하는 방법으로 평균과 최악의 경우 모두 수행복잡도는 $O(log_2log_2n_i)$, $n_i{\simeq}0.1n$으로 보간탐색법의 평균 수행복잡도에 비해 10배 정도 시간을 단축시킬 수 있다.

• 대한통합의학회지
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• 제4권4호
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• pp.109-117
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• 2016

Purpose : This study was designed to provide basic data of effective sanitization method of sprout vegetable for microbiological safety. Methods : Sanitization treatments were performed by dipping the sprout into chlorine and vinegar water. Microbial analysis were composed of the total plate count(TPC) and coliform group count(CGC). Result : Among chlorine water sanitization, the microbial reduction was largest in 100ppm chlorine water, and its TPC and coliform group count decreased to 6.01 log CFU/g and 5.06 log CFU/g. The effective dipping time in 100ppm chlorine water treatment was 5.97 log CFU/g and 5.91 log CFU/g for 30min and 60min, in which TPC were below the microbiological safety limits of 6.00 log CFU/g. Coliform group counts were decreased to 5.44, 5.46, 5.42 log CFU/g in the dipping the spouts for 30min, 60min and 90min. As a result of sanitizing alfalfa spout by vinegar water, a microbial counts tended to decrease with increasing concentration and the dipping time. The effective concentration of vinegar water was 2% for TPC(6.00 log CFU/g) and 1% for coliform group count(5.20 log CFU/g). With 1% vinegar water treatment, TPC became below the microbiological safety limits in all samples and in particular, the sample treated for 60min and 90min(4.93, 4.54 log CFU/g). While coliform group counts were decreased to 3.91 log CFU/g in the dipping the sprouts for 90min, those were still beyond the permitted limit. Conclusion : To secure the food safety of food service facilities including kindergarten feeding, it is considered that along with the systematic study of effective disinfection method for microbiological control at the preconditioning level of spout vegetable within the range of secured maleficence to human body, and the study regarding the measures to lower the initial microbiological pollution of spout vegetable.

• Bulletin of the Korean Chemical Society
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• 제20권3호
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• pp.297-300
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• 1999

The protonation constants of the macrocyclic ligands, 1,4-dioxa-7,10,13,16-tetraaza-cyclooctadecane-N,N',N",N"'-tetra(acetic acid) [N-ac4[18]aneN402] and 1,4-dioxa-7,10,13,16-tetraazacyclooctadecane-1,4-dioxa-7,10,13,16-N,N',N",N"'-tetra(methylacetic acid) [N-meac4[18]aneN4O2] have been determined by using potentiometric method. The protonation constants of the N-ac4[18]aneN4O2 were 9.31 for logK1H, 8.94 for logK2H, 7.82 for logK3H, 4.48 for logK4H and 2.94 for logK5H. And the protonation constants of the N-meac4[18]aneN4O2 were 9.34 for logK1H, 9.13 for logK2H, 8.05 for logK3H, 5.86 for logK4H, and 3.55 for logK5H. The stability constants of complexes on the divalent transition ions (Co2+, Ni2+, Cu2+, and Zn2+) and tiivalent metal ions (Ce3+, Eu3+, Gd3+, and Yb3+) with ligands N-ac4[18]-aneN4O2 and N-meac4[18]aneN4O2 have been obtained from the potentiometric data with the aid of the BEST program. The three higher values of the protonation constants for synthesized macrocyclic ligands correspond to the protonation of nitrogen atoms, and the fourth and fifth values correspond to the protonation of the carboxylate groups for the N-ac4[18]aneN4O2 and N-meac4[18]aneN4O2. The meatal ion affinities of the two tetra-azamacrocyclic ligands with four pendant acetate donor groups or methylacetate donor groups are compared. The effects of the metal ions on the stabilities are discussed, and the trends in stability constants resulting from changing the macrocyclic ring with pendant donor groups and acidity of the metal ions.

• 한국전자거래학회지
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• 제20권4호
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• pp.41-59
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• 2015

시스템이 다양화 되면서 동시에 저장된 로그도 다양하게 분석할 필요가 생겼다. 이러한 로그 데이터 분석에 관한 필요성이 강해지는 환경이 시간 순으로 발생하는 이벤트 단위의 로그로부터 프로세스 모델을 도출하고, 시스템을 개선시키는 활동에 이바지하도록 요구하고 있다. 기존에는 개별 이벤트 단위의 로그를 분석하면서 속성들의 관계를 파악하는 연구가 활발했다. 본 논문에서는 로그 데이터를 활용한 예외적인 형태의 프로세스 인스턴스를 판별하는 방법으로 LAPID(Local Anomaly Process Instance Detection)를 제안한다. LAPID는 액티비티-릴레이션 매트릭스(Activity relation matrix)를 사용해서 계산된 거리 값을 활용하여, API(Anomaly Process Instance)를 탐색한다. 제시한 방법의 유용성을 검증하기 위하여 항만 물류에서 발생하는 컨테이너 이동에 대한 트레이스(Trace)를 포함하는 로그 데이터에서 예외적인 상황의 프로세스 실행이 가지는 특징을 도출하였다. 이를 위하여 본 논문에서는 국내의 실제 항만에서 발생한 이벤트 로그를 이용하여 사례연구를 수행하였다.

• 한국콘텐츠학회논문지
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• 제10권1호
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• pp.68-77
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• 2010

본 논문에서는 데이터의 접근성에 따른 병합 가치를 고려한 새로운 로그 버퍼 관리 기법을 제안한다. 제안하는 기법은 로그 블록의 병합 가치를 평가하여 빈번하게 갱신이 발생하지 않는 데이터에 대해서 데이터 블록과의 병합연산을 수행한다. 또한 빈번하게 갱신되는 데이터에 대해 데이터 블록과의 병합을 최대한 지연한다. 이를 통해 불필요한 데이터 블록의 병합 연산을 방지하여 플래시 메모리의 소거 연산 횟수를 크게 감소시켰고, 공간 활용을 극대화 하였다. 마지막으로, 로그 버퍼 관리 기법의 대표적인 기법인 BAST와 FAST와의 성능 비교를 통해 본 논문에서 제안하는 기법의 우수성을 증명하였다. 성능평가 결과 제안하는 기법이 BAST와 FAST에 비해 소거연산 측면에서 평균 25%와 65%의 성능 향상이 있었다.

• 한국간호교육학회지
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• 제12권1호
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• pp.86-94
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• 2006

Purpose: The purpose of this study is to identify the nursing student's e-Learning status. Method: The 48 nursing students were subject to this study. They were introduced to use 'understanding of ABGA' site. And the web log data was analysed. Result: General learning status in nursing education, difference of learning status in each learning type, and 'quiz' area learning status were analysed to see the nursing student's e-Learning status. The result of study showed that the participants didn't get learning that site designer had in mind to give them. Conclusion: It is important to figure out students' actual learning behaviors and reactions of feedbacks. Also, web log data could provide useful data that affect student's behaviors. Based on this study result, the following is suggested. The way to give them effective learning should be considered by the instructor who knows the unsincere type students through web log data.