• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.99-106
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• 2002

Researches on integration of design and construction information from earlier era focused on the conceptual data models. Development and prevalent use of commercial database management system led many researchers to design database schemas for enlightening of relationship between non-graphic data items. Although these researches became the foundation fur the proceeding researches. they did not utilize the graphic data providable from CAD system which is already widely used. 4D CAD concept suggests a way of integrating graphic data with schedule data. Although this integration provided a new possibility for integration, there exists a limitation in data dependency on a specific application. This research suggests a new approach on integration for design and construction information, 'Product Model Centered Integration Methodology'. This methodology achieves integration by preliminary research on existing methodology using 4D CAD concept. and by development and application of new integration methodology, 'Product Model Centered Integration Methodology'. 'Design Component' can be converted into digital format by object based CAD system. 'Unified Object-based Graphic Modeling' shows how to model graphic product model using CAD system. Possibility of reusing design information in latter stage depends on the ways of creating CAD model, so modeling guidelines and specifications are suggested. Then prototype system for integration management, and exchange are presented, using 'Product Frameworker', and 'Product Database' which also supports multiple-viewpoints. 'Product Data Model' is designed, and main data workflows are represented using 'Activity Diagram', one of UML diagrams. These can be used for writing programming codes and developing prototype in order to automatically create activity items in actual schedule management system. Through validation processes, 'Product Model Centered Integration Methodology' is suggested as the new approach for integration of design and construction information.

• Korean Chemical Engineering Research
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• v.47 no.6
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• pp.762-767
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• 2009

In this study, the feasibility of using vegetable oil extracted from tropical crop seed as a biodiesel feedstock was investigated by producing biodiesel and analysing the quality parameters as a transport fuel. In order to produce biodiesel efficiently, two step reaction process(pre-treatment and transesterificaion) was required because the tropical crop oil have a high content of free fatty acids. To determine the suitable acid catalyst for the pre-esterification, three kinds of acid catalysts were tested and sulfuric acid was identified as the best catalyst. After constructing the experimental matrix based on RSM and analysing the statistical data, the optimal pre-treatment conditions were determined to be 26.7% of methanol and 0.982% of sulfuric acid. Trans-esterification experiments of the pre-esterified oil based on RSM were carried out, then discovered 1.24% of KOH catalyst and 22.76% of methanol as the optimal trans-esterification conditions. However, the quantity of KOH was higher than the previously established KOH concentration of our team. So, we carried out supplemental experiment to determine the quantity of catalyst and methanol. As a result, the optimal transesterification conditions were determined to be 0.8% of KOH and 16.13% of methanol. After trans-esterification of tropical crop oil, the produced biodiesel could meet the major quality standard specifications; 100.8% of FAME, 0.45 mgKOH/g of acid value, 0.00% of water, 0.04% of total glycerol, $4.041mm^2/s$ of kinematic viscosity(at $40^{\circ}C$).

• Elastomers and Composites
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• v.10 no.2
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• pp.136-156
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• 1975

고무는 불량열전도체(不良熱傳導體)이며 두께가 두꺼우면 내부(內部)가 적정온도수준(適正溫度水準)에 이르기 전까지 가황시간(加黃時間)이 길어진다. 가황온도(加黃溫度)가 상승(上昇)할수록 가황물(加黃物)의 물성(物性)은 열화(劣化)되는 경향(傾向이) 있다. 천연(天然)고무든지 합성(合成)고무든지 간(間)에 과가황(過加黃)에 대(對)한 저항성(抵抗性)이 나쁘므로 특(特)히 고온가황(高溫加黃)에 대(對)해 민감(敏感)하다. 이것은 고온(高溫)에서 단시간(短時間) 가황(加黃)일수록 가속(加速)된다. 평탄가황배합물(平坦加黃配合物)의 경우에서 보더라도 내부(內部)가 적절(適切)히 가황(加黃)되기도 전(前)에 외부(外部)는 과가황(過加黃)이 되는 수가 있다. 근래(近來) 발간(發刊)된 문헌(文獻)에서도 이러한 내용(內容)이 잘 설명(說明)이 되어 있는데 다른 각도(角度)에서 고찰(考察)해 볼것 같으면 정체시간(停滯時間)이 비교적(比較的) 길지 않는 한(限) 가황시간(加黃時間)은 정체시간(停滯時間)과 sheet 가황시간(加黃時間)과의 합(合)이라고 말할 수 있겠다. 예(例)를 들어 설명(說明)하자면 $130^{\circ}C(266^{\circ}F)$에서 정체시간(停滯時間)이 10분(分)이고 sheet 가황시간(加黃時間)이 20분(分)인 제품(製品)은 이 온도(溫度)에서 30분간(分間) 가황(加黃)해야 된다는 것이다. 온도계수(溫度係數)를 2라고 가정(假定)할 경우 $140^{\circ}C(284^{\circ}F)$에서의 가황시간(加黃時間)은 $30\times\frac{1}{2}=15$분(分)이 아니라 $20\times\frac{1}{2}+10=20$분(分)이 된다. 크기가 큰 제품(製品)은 보통(普通) 다음에 있는 여러 방법(方法)들 가운데 한 가지 또는 여러가지를 조합(組合)하여 가황(加黃)시킨다. a) 크기가 작은 것에 대한 것 보다 낮은 온도(溫度)에서 가황(加黃)한다. b) 침투가황-제품(浸透加黃-製品)을 가압하(加壓下)에 두고서 외부가황(外部加黃)은 단속(斷續)시키고 열(熱)이 중심(中心)으로 침투(浸透)하게 한다. c) 단계가황(段階加黃)-처음에는 저온(低溫)에서 시작(始作)하여 일정간격(一定間隔)을 두고 점차(漸次) 온도(溫度)를 상승(上昇)시켜 최종적(最終的)으로 가황온도(加黃溫度)까지 올린다. d) 가능(可能)하다면 metal base나 금형(金型)에서 고무를 증기가황(蒸氣加黃)시킬 경우에 있어서 속이 빈 축(軸)을 사용하여 내부(內部)로 부터 가열(加熱)하면 가황시간(加黃時間)이 단축(短縮)된다. e) 냉각중(冷却中)의 후가황(後加黃)-이것은 가열장치(加熱裝置)에서 끄집어낸 후 제품(製品)의 외부(外部)를 냉각(冷却)시키는 방법(方法)이다. 가열(加熱)된 제품(製品)이 쌓여 있거나 적절(適切)하게 냉각(冷却)되지 않을 때 가황(加黃)이 추가적(追加的)으로 되거나 과가황(過加黃)이 될 우려가 있는 제조공정(製造工程)에서는 흔히들 이 방법(方法)을 무시(無視)하고 있다. 여기서 강조(强調)해 두어야 할 것은 항상 제품(製品)의 외부(外部)를 완전(完全)히 가황(加黃)시킬 필요(必要)는 없다는 것이다. 다공성(多孔性)이나 기포생성(氣泡生成)을 조장(助長)하는 불량가황상태(不良加黃狀態)와 표면(表面)에서의 과가황상태간(過加黃狀態間)의 균형(均衡)을 취(取)해 줘야 하는데 물론(勿論) 이때는 가황시간(加黃時間)을 단축(短縮)시켜야 한다는 경제적(經濟的)인 측면(側面)도 아울러 고려(考慮)해야 한다. 이것은 고무기술자(技術者)가 당면(當面)해야할 과제(課題)에 속(屬)하며 바람직 한것은 본장(本章)의 내용(內容)이 여러 상황하(狀況下)에서 당면(當面)한 문제(問題)에 대(對)해 어떻게 대처(對處)해 야 할지를 모르는 여러 기술자(技術者)들에게 도움이 되었으면 하는 것이다.

• Korean Chemical Engineering Research
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• v.44 no.1
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• pp.65-72
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• 2006

Recent technical advances in the biorecognition engineering and the microparticle fabrication may enable us to develop the single step purification using magnetic particle, because of its simplicity, efficacy, ease of automation, and process economics. In this study, we used commercial magnetic particles from Seradyn, Inc. (Indianapolis, USA). It was ca. 2.8 micron in diameter, consisted of polystyrene core and magnetite coating, and its surface had carboxyl groups. The model, capture protein was IgG and anti-IgG was used as the ligand molecule. We studied the different surfaces ('nude', ester-activated, and anti-IgG coated) for their biorecognition of IgG. At a high pH condition, we could reduce non-specific binding. Also anti-IgG immobilized magnetic particle could capture IgG more selectively. We attempted 'oriented immobilization' of anti-IgG, in which the polysaccharides moiety near the C-terminus was selectively oxidized and linked to the hydrazine-coated MP, to improve the efficacy of biorecognitive binding. Using this method, the IgG capturing ability was improved by ca. 2 fold. From the binary mixture of the IgG-insulin, IgG could be more selectively captured. In summary, the oriented immobilization of oxidized anti-IgG proved to be as effective as the streptavidin-biotin system and yet simpler and cost-effective. This immobilization method can find its applications in protein biochips and biotargeting.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.161-177
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• 2015

With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.

• Proceedings of the Korean Sanitation Conference
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• 2005.12a
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• pp.76-97
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• 2005

As the recent change of multiformity and taste in clination in eating habit culture is yearly in creasing foods used oil and fats. Because the frying food is especially important snack , it's safty is very essential. In order to know the safty and harmfulness of frying oil and fats. The 20 kinds samples were purchased chicken fried food shops around the north of seoul and kyunggi. The acid value, iodine value, peroxide value, TBA value, fatty acid, carbonyl value, and smoke point of deep fat fried oils were analyzed. Results of analyzed, A company of deep fat frying oil showed stability state and C company and B company of deep fat frying oil is acidification to turned. But D company of deep fat frying oil showed quite a bit acidification progressived of used hydrogenated oil.

• Journal of the Korean Applied Science and Technology
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• v.35 no.4
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• pp.1120-1133
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• 2018

The purpose of this study is to validate the failure attribution factors affecting emotional changes after a failed service by local restaurant users, and the relapse effects of the perceived failure of a customer's brand relationship. In this study, the implications of this study can be divided into the null theory and the homogenous theory, in which the study of the relationship between individual belief that influences the null theory and the post-gender emotional response is minimal. The independence of the crash response (angerous VS compassion) has been equally validated as building a belief-gathering-emotion three-step model. First, emotional BRQ (intimate and love) has a reduction effect on controllable geeks, and behavioral BRQ (relative existence) has an extended effect on controllable geeks. From a management perspective, restaurant managers should be less aware of the repeatability of a customer's service failure and call for customer sympathy. Integratedly, restaurant managers must control the customer's perception of service failure and restore the impact of the customer's BRQ on emotional reactions. A variety of service recovery measures should be established and the cerumen should be controlled. In addition, since BRQs have different effects on anger and sympathy (extended VS), different service failure recovery plans should be presented depending on the characteristics of the customer BRQ. For example, measures such as monetary compensation or fair dealing, emotional distribution to close and loving customers, and persuasion of reciprocal benefits to interdependent customers should be developed according to circumstances. This study explored the effectiveness of the geeks after a service failure and has limitations that do not take into account the various regulatory factors in the BRQ-return-Empression process. Thus, in further studies, the effects of adjusting service failure strength should be considered and a more complete model should be built.