• The Journal of Korean Association of Computer Education
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• v.4 no.2
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• pp.51-61
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• 2001

With the advance of computer and communication technologies, a lot of virtual schools provide web-based classes that provide learning environments out of temporal and spatial constraints and many research works on the web-based classes have been proposed. Various techniques are required to build the virtual schools efficiently. One of them is the scheme for transaction management. However, existing transaction management schemes have inappropriate features for supporting web-based classes. In this paper, we propose a new locking-based transaction processing protocol that satisfies the requirements after presenting the requirements for transaction management to support web-based classes. In the protocol, a new method, called mark, is adopted to satisfy the requirements. The proposed protocol also eliminates unnecessary delays or abortions and thus, the proposed protocol can improve the performance of database systems.

• Korean Journal of Construction Engineering and Management
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• v.6 no.2 s.24
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• pp.120-128
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• 2005

ISO 9001, the quality management system issued by the International Organization for Standardization, is being used by architectural design and engineering firms in order to strengthen the capability of business activities through the implementation of the international and advanced quality management systems. However, there have been significant problems in stable implementation and settlement of ISO 9001 in construction industry, which seem to be caused by key employees' lack of proper recognition and comprehension. The purpose of this research, accordingly, is to find and analyze nonconformity results which were found when the third party registrars audited the conformity of companies' quality management systems for ISO 9001 certification especially in architectural design and engineering firms. For this purpose this research was conducted by a cluster analysis of 647 audit reports out of representative 15 architectural design and engineering firms that have been audited periodically from 1997 to 2003 by the third party registrars. The analysis showed that the most frequent problems were generated in the areas of $\ulcorner$Design and Development$\lrcorner$ , $\ulcorner$production and Service Provision$\lrcorner$ , and $\ulcorner$General requirements$\lrcorner$ of the quality management system. The following, the areas of $\ulcorner$Monitoring and Measurement$\lrcorner$ and $\ulcorner$purchasing$\lrcorner$ were also analyzed as main factors which caused frequent nonconformity results. This research also shows that the corrective actions for nonconformity results are closely connected with the whole management activities in architectural design and engineering firms. Consequently, corrective actions for disposition of nonconformities should be implemented more specifically in order to settle and activate the quality management systems in architectural design and engineering firms.

• Journal of Food Hygiene and Safety
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• v.25 no.2
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• pp.83-90
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• 2010

This study was conducted to investigate the residue amount of harmful materials on the 153 commercial medical herbs in Gwangju area. It was performed using the GC-ECD, GC-NPD, GC-MSD and the LC-UVD, LC-FLD, LC-MSD to analyze 200 pesticides. The heavy metals were determined using a Mercury analyzer and AAS. The sulfur dioxides were analyzed by modified Monnier-Williams method. The residual pesticides were detected in 7 samples, and were over MRLs (Maximum Risk Levels) in 2 samples (1.3%). The mean values of heavy metal contents (mg/kg) were Pb, 0.570; Cd, 0.081; As, 0.082; Hg, 0.0093. The measured values of Pb, As, Hg showed within MRLs. The excess samples of MRLs were 3 samples (changchul 2, cheongung 1) on Cd. The sulfur dioxides were over MRLs in 7 samples (4.6%), hwanggi and gugija. These results will be used to establish on the regulation of commercial medical herbs in Gwangju area.

• The Journal of Bigdata
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• v.5 no.2
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• pp.53-67
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• 2020

This study employees a supervised learning prediction model to detect nonconformity in advance of processed food manufacturing and processing businesses. The study was conducted according to the standard procedure of machine learning, such as definition of objective function, data preprocessing and feature engineering and model selection and evaluation. The dependent variable was set as the number of supervised inspection detections over the past five years from 2014 to 2018, and the objective function was to maximize the probability of detecting the nonconforming companies. The data was preprocessed by reflecting not only basic attributes such as revenues, operating duration, number of employees, but also the inspections track records and extraneous climate data. After applying the feature variable extraction method, the machine learning algorithm was applied to the data by deriving the company's risk, item risk, environmental risk, and past violation history as feature variables that affect the determination of nonconformity. The f1-score of the decision tree, one of ensemble models, was much higher than those of other models. Based on the results of this study, it is expected that the official food control for food safety management will be enhanced and geared into the data-evidence based management as well as scientific administrative system.

• Journal of Food Hygiene and Safety
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• v.20 no.3
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• pp.179-184
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• 2005

This study was carried out to evaluate the quality of confectioneries among processed foods. Total samples were 3,716, and violative samples among them were 36. The snacks in confectioneries showed violative rate of $1.0\%$, and the traditional snack in snacks showed $8.4\%$. Violative items were acid value and peroxide value for the most part, so the fried snacks need to control the management hygienically. The nutrition ingredients were measured far carbohydrates, protein, fats, sodium and calories in bread. Indication values at packing were not suited to 18 of 20 breads on the indication criterion of ingredient. And nutrition ingredients were not indicated to breads of some company nevertheless be sure to indicated. The processed food should be managed thorough with regard indicated nutrition ingredient.

• Economic and Environmental Geology
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• v.35 no.5
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• pp.395-406
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• 2002

The sixty natural springs and community wells used as a drinking water in the Daejeon area are mainly located at the parks and the natural green districts. The purpose of this study is to investigate the characteristics of water quality and the contamination of the springs and the wells, and to suggest the management strategy for the springs and wells. For this study, we undertook water quality data from Daejeon City. According to the statistic analysis of water quality data, unacceptable rate as a drinking water was about 28 percent in 1999 and 24.5 percent in 2000, respectively. Major unacceptable factor is coliform, and others are bacteria, yersinia, color, turbidity, Fe and F. The unacceptable rate shows a roughly positive relationship with precipitation, that is, it shows highest rate during a rainy season between June and September. The major contamination source is likely to be the excrement of wild animals around natural springs and wells. Most of springs are vulnerable to the contamination of coliform and bacteria because of short residence time and shallow circulation in subsurface environment. The water samples collected from 31 springs or wells show weak acidic pHs, the electrical conductivity ranging from 63 to 357 $\mu\textrm{S}$/cm, and the hydrochemical types of Na(Ca)-HC0$_3$ and Ca-HC0$_3$. The groundwater samples of low total dissolved solid(TDS) belong to Na(Ca)-HC0$_3$. type, and the groundwater of high total dissolved solid is shifted towards Ca-HC0$_3$ type in the chemical composition. These hydrochemical characteristics indicate that most natural springs is in the early stage of geochemical evolution. The natural springs should be closed during a rainy season, which shows a high contamination rate. We suggest that a protection barrier around the springs should be built to keep wild animals away from the springs.

• Journal of Korean Society for Quality Management
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• v.49 no.1
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• pp.81-95
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• 2021

Purpose: The purpose of this study was to analysis pattern of nonconforming farmers who is one of the factors of unconformity in residual pesticides. Methods: Pattern analysis of nonconforming farmers were analyzed through convergence of safety data and farmer's DB data. Exploratory data analysis and association rule analysis were used for extracting factors related to unconformity. Results: The results of this study are as follows; regarding the exploratory data analysis, it was found that factors of farmers influencing unconformity in residual pesticides by total 9 factors; sampling time, gender, age, cultivation region, farming career, agricultural start form, type of agriculture, cultivation area, classification of agricultural products. Regarding the association rule analysis, non-conformity association rules were found over the past three years. There was a difference in the pattern of nonconforming farmers depending on the cultivation period. Conclusion: Exploratory data analysis and association rule analysis will be useful tools to establish more efficient and economical safety management plan for agricultural products.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.296-299
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• 2008

최근 데이터 스트림을 관리하기 위해 DSMS(Data Stream Management System)가 계속적으로 연구 되고 있다. 하지만 데이터 스트림은 방대한 양의 데이터를 처리하기 위하여 실시간성을 갖는 빠른 데이터 처리가 요구되며, 이러한 특성 때문에 데이터 처리의 효율성 증대를 위하여 메모리 관리가 중요하다. 기존 메모리 관리에 대한 연구는 쓰레드 스케줄링을 통한 관리 기법이 연구되었다. 하지만 기존의 연산자 쓰레드 스케줄링과 그래프 쓰레드 스케줄링은 쓰레드 관리의 유연성이 떨어지기 때문에 불규칙적인 데이터 스트림 환경에서는 부적합하다. 또한 하이브리드 멀티 쓰레드 스케줄링 기법은 두 가지 기법의 장점을 결합하였으나 가상 연산자의 일회성 사용으로 쓰레드 관리의 어려움 이 있다. 따라서 본 논문은 공유와 재사용이 가능한 링 연산자를 이용한 링 연산자 쓰레드 스케줄 링 기법을 제안한다. 본 기법은 링 연산자를 통해 새로 입력된 질의의 동일한 연산자 구성은 생성 되어 있는 링 연산자를 공유하거나 재사용하여 불필요한 자원 소모와 자원 할당의 과부하를 줄임으로써 기존 기법에 비해 쓰레드 할당의 수를 감소 시켜 대량의 질의 처리 시 속도를 증가 시켰다.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.65-70
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• 2007

유비쿼터스 센서 네트워크 관련 기술이 급속히 발전하고 센서가 여러 분야에서 활용됨에 따라 센싱되는 데이타를 효율적으로 관리하기 위한 연구가 활발히 진행되고 있다. 일반적으로 유비쿼터스 센서 네트워크에서 센싱되는 데이타는 계통적 오차와 측정 방법의 부적합 등으로 인한 불확실성을 가지며, 또한 센싱하는 환경 및 제약으로 인해 데이터가 유사하거나 반복되는 제한성을 가진다. 그러나 기존의 연구들은 센싱되는 데이타의 이러한 특성을 고려하지 못함으로 인해 검색이 비효율적이다. 따라서, 본 논문에서는 불확실한 데이타를 고려한 기존의 인덱스를 확장하여 유비쿼터스 센서 네트워크에서 센싱되는 데이타 중 제한성을 가지는 데이타를 그룹화함으로써 효율적인 검색을 지원하는 그룹화 기법을 제시한다. 본 논문은 센싱된 데이타를 그룹화하는 기법으로써 처음에 그룹으로 설정된 영역을 이용해 그룹화하는 최초 그룹화 기법, 한 그룹 내에 최대한 많은 데이타를 그룹화하는 최적 그룹화 기법, 센싱된 데이타를 최대한 근접하게 그룹화하는 최근접 그룹화 기법을 제시한다. 마지막으로, 성능 평가를 통해 본 논문에서 제시한 그룹화 기법을 이용한 인덱스에 대한 검색 성능의 우수성을 입증한다.

• Journal of Korean Society of societal Security
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• v.2 no.4
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• pp.59-65
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• 2009

The rebound test using Schmidt hammer is most popular method to estimate strength of concrete. However, this method is inappropriate for Seoul Metro underground structures due to unsuitable aging effects. Consequently, the strength presumption equation of underground structures is proposed according to the correlation of uniaxial compressive strength, rebound test results and age of concrete. To achieve this, the results of in-depth inspection of Seoul Metro underground structures performed annually for last 8 years was anlayed.