• Korean Journal of Food Science and Technology
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• v.21 no.1
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• pp.154-163
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• 1989

This studies were designed to improve the productivity of L-lysine by protoplast fusion and immobilized system of fusants using strains of Brevibacterium flavum ATCC 21528, Brevibacterium lactofermentum ATCC 21086 and Corynebacterium glutamicum 820. Mutants were isolated with concentration method of $300{\mu}g/ml$ penicillin-G after treatment of $250{\mu}g/ml$ N-methyl-N-nitro-N-nitrosoguanidine. B. flavum $37-2(Hos^-,\;Kan^r,\;AEC^r)$, B. lactofermentum $6-2(Ile^-,\;Val^-,\;Str^r,\;AEC^r)$ and C. glutamicum 57-5$(Met^-,\;Thr^-,\;Rif^r,\;AEC^r)$ were isolated from mutants. Protoplasts were induced by being incubated with $500{\mu}g/ml$ lysozyme of lysis solution for 6 hr and the ratio of protoplast formation and regeneration were ranging from 97-99% and 33-37%, respectively. Fusion frequencies of fusants of BBFL 21, BCFG 37 and BCLG 59 were shown in the range from $1.25{\times}10^{-6}\;to\;5.83{\times}10^{-7}$ under the optimum conditions. The fusant BBFL 21 showed the highest productivity of $411.1\;ng/ml{\cdot}hr$ L-lysine in the lysine productivity broth at $30^{\circ}C$ for 72hr. In the immobilization systems, fusant BBFL 21 was employed in various polymer matrices such as sodium alginate, polyacrylamide, agar and ${\alpha}-carrageena$. The immobilization of sodium alginate showed the highest productivity of $413\;ng/ml{\cdot}hr$ L-lysine in the batch system. Continuous fermentation of immobilization system by using tube fermentor was produced the highest productivity $416.7\;ng/ml{\cdot}hr $ L-lysine under optimum condition.

• Clean Technology
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• v.26 no.2
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• pp.102-108
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• 2020

In recent years, packed column has been widely used in separation processes, such as absorption, desorption, distillation, and extraction, in the petrochemical, fine chemistry, and environmental industries. Packed column is used as a contacting facility for gas-liquid and liquid-liquid systems filled with random packed materials in the column. Packed column has various advantages such as low pressure drop, economical efficiency, thermally sensitive liquids, easy repairing restoration, and noxious gas treatment. The performance of a packed column is highly dependent on the maintenance of good gas and liquid distribution throughout a packed bed; thus, this is an important consideration in a design of packed column. In this study, hydraulic pressure drop, hold-up as a function of liquid load, and mass transfer in the air, air/water, and air-NH₃/water systems were studied to find the geometrical characteristic for raschig super-ring experiment dry pressure drop. Based on the results, design factors and operating conditions to handle noxious gases were obtained. The dry pressure drop of the random packing raschig super-ring was linearly increased as a function of gas capacity factor with various liquid loads in the Air/Water system. This result is lower than that of 35 mm Pall-ring, which is most commonly used in the industrial field. Also, it can be found that the hydraulic pressure drop of raschig super-ring is consistently increased by gas capacity factor with various liquid loads. When gas capacity factor with various liquid loads is increased from 1.855 to 2.323 kg^-1/2 m^-1/2 S^-1, hydraulic pressure drop increases around 17%. Finally, the liquid hold-up related to packing volume, which is a parameter of specific liquid load depending on gas capacity factor, shows consistent increase by around 3.84 kg^-1/2 m^-1/2 S^-1 of the gas capacity factor. However, liquid hold-up significantly increases above it.

• Journal of Life Science
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• v.27 no.4
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• pp.456-463
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• 2017

The purpose of this study was to investigate the effect of 3 types of medicinal herbs (Glycyrrhizae radix, Astragali radix and Dioscorea rhizoma) extracts on estrogen-like activities, proliferation and differentiation in osteoblast. Human breast cancer cell line MCF7 was transfected using an estrogen responsive luciferase reporter plasmid for measure the estrogen-like activity. Estrogen-like activities of extracts were in the range of 1.11~5.73 fold to that of negative control. The extract of G. radix showed the strongest estrogen-like activities. The estrogen-like activities of 50 and $500{\mu}g/ml$ extracts of G. radix were similar to that of $10^{-8}$ and $10^{-7}$ M standard solution ($17{\beta}-estradiol$), respectively. G. radix extract showed no cytotoxicity against osteoblast MC3T3-E1 cells at $1{\sim}1,000{\mu}g/ml$. The extract of A. radix showed no significant proliferation of osteoblast. However, the extract of G. radix and D. rhizome showed maximum 148% and 133% proliferation effects. The extract of G. radix also increased alkaline phosphatase activity and the maximum was 122% at $100{\mu}g/ml$ compared to that of control. The nodule formation by the method of the Alizarin red S staining increased compared to control. These results suggest that G. radix is able to perform the bone formation and prevent osteoporosis.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.4
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• pp.15-24
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• 2007

The recognition of postal address images is indispensable for the automatic sorting of postal envelopes. The process of the address image recognition is composed of three steps-address image preprocessing, character recognition, address interpretation. The extracted character images from the preprocessing step are forwarded to the character recognition step, in which multiple candidate characters with reliability scores are obtained for each character image extracted. aracters with reliability scores are obtained for each character image extracted. Utilizing those character candidates with scores, we obtain the final valid address for the input envelope image through the address interpretation step. The envelope sorting rate depends on the performance of all three steps, among which character recognition step could be said to be very important. The good character recognizer would be the one which could produce valid candidates with very reliable scores to help the address interpretation step go easy. In this paper, we propose the method of generating character candidates with reliable recognition scores. We utilize the existing MLP(multilayered perceptrons) neural network of the address recognition system in the current automatic postal envelope sorters, as the classifier for the each image from the preprocessing step. The MLP is well known to be one of the best classifiers in terms of processing speed and recognition rate. The false alarm problem, however, might be occurred in recognition results, which made the address interpretation hard. To make address interpretation easy and improve the envelope sorting rate, we propose promising methods to reestimate the recognition score (confidence) of the existing MLP classifier: the generation method of the statistical recognition properties of the classifier and the method of the combination of the MLP and the subspace classifier which roles as a reestimator of the confidence. To confirm the superiority of the proposed method, we have used the character images of the real postal envelopes from the sorters in the post office. The experimental results show that the proposed method produces high reliability in terms of error and rejection for individual characters and non-characters.

• Journal of Wetlands Research
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• v.16 no.3
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• pp.431-440
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• 2014

To propose the improvement and management plans to strengthen the pollutant removal efficiency of dam reservoir's constructed wetlands(CWs), the operation status and configuration of CWs (including water depth, operational flow, water flow distribution, residence time, and pollutant removal efficiency, aspect ratio, open water/vegetation ratio etc.) were analyzed in 10 major wetlands constructed in dam reservoirs. The pollutant concentrations in the inflows of the studied CWs were lower than those of American and European constructed wetlands. Especially, organic matter concentrations in all of inflows were below 3 mg/L(as BOD) due to advanced treatment of sewage disposal plant and an intake of low concentration water during dry and normal seasons. The average removal efficiency of total nitrogen(TN) and total phosphorus(TP) for 10 CWs ranged from 7.6~67.6%(mean 24.9%) and -4.9~74.5%(mean 23.7%), respectively, showing high in wetlands treating municipal wastewater. On the other hand, the removal efficiency of BOD was generally low or negative with ranging from -133.3 to 41.7%. From the analysis of the operation status and configuration of CWs, it is suggested that the low removal efficiency of dam reservoir's CWs were caused by both structural (inappropriate aspect ratio, excessive open water area) and operational (neglecting water-level management, lack of facilities and operation for first flush treatment, lake of monitoring during rainy events) problems. Therefore, to enable to play a role as a reduction facility of non-point source(NPS) pollutants, an appropriate design and operation manuals for dam reservoir's CW is urgently needed. In addition, the monitoring during rainy events, when NPS runoff occur, must be included in operation manual of CW, and then the data obtained from the monitoring is considered in estimation of the pollutant removal efficiency by dam reservoir's CW.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.33 no.2
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• pp.111-115
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• 2007

It is inevitable to use germicidal agents like parabens, imidazolidinyl urea, phenoxyethanol and chlorphenesin to preserve the cosmetics. Although effective in reducing microblological contamination, chemical preservatives are irritative, allergenic and even toxic to human skin. So it is needed to decrease or eliminate usage of preservatives in cosmetic products Glycerin, butylene glycol (BG), prorylene glycol (PG), and dipropylene glycol (DPG) are widely used in cosmetics as skin conditioning agent or solvents. At high concentrations, they have antimicrobial activities, but deteriorate product quality like sensory feeling or safety. The purpose of study is to evaluate the effects of polyols on antimicrobial and preservative efficacy and confirm whether using adjusted polyols can decrease the contents of preservatives without deterioration of the quality of cosmetics. Effects of common polyols on antimicrobial activities of general preservatives were measured. BG and PG significantly (p < 0.05) increased activities of preservatives, but glycerin influenced little. It was inferred from the regression analysis of the results with S. aureus that adding 1% of PG increased activities of preservatives up to $2.1{\sim}8.4 %$ and BG improved activities of preservatives up to $1.8{\sim}8.4 %$. The challenge test results for oil in water lotions and creams showed that BG and PG improved the efficacy of preservative systems up to 40 % at a range of $5.5{\sim}9.9 %$, but glycerin had little effect on it. The measured rates of improvement were analogous to the inferences from regression analysis. It can be concluded that is possible to reduce total chemical preservatives up to 40 %, consequently improve the safety and sensory quality of cosmetics with the precision control of polyols. Added to that, using this paradigm, low preservative contents, praraben-free system, and even preservative-free systems can be expected in the near future.

• 한국지구과학회:학술대회논문집
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• 2010.04a
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• pp.108-109
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• 2010

IMPACT Silver 주식회사는 Zacualpan 프로젝트의 Royal Mines(이하 로얄 광산)을 인수했다. $124.5\;km^2$에 해당하는 지역의 소유권은 두 개의 멕시코 사기업으로부터 가행중인 광산의 채굴권 구입과 운영 중인 기반시설의 임대를 조건으로 한다. 프로젝트 지역은 멕시코시티로부터 남서방향으로 100 km와 Taxco Silver 광산으로부터 북서방향으로 25 km 떨어진 지점에 위치한다. 기반시설은 비포장 도로, 충분한 전력과 물의 공급 및 숙련공들을 갖추어 우수한 평가를 받고 있다. 소유권은 멕시코인의 개인소유 하에서 무한한 매장량 혹은 자원량을 갖고 운영된 채광과 가공시설을 인수하는 것이다. 소유권 지역을 대상으로 한 IMPACT Silver사의 주 탐사목적은 이미 알려진 광화대의 확장을 위한 잠재성 평가와 다른 지역에서 신규 광상의 유망지역을 발견하는 것이다. Zacualpan 프로젝트의 로얄 광산은 남동 Guerrero terrane의 북부에 위치한다. Teloloapan subterrane은 주로 저변성 녹색편암상으로 구성된 쥬라기 후기에서 백악기 초기의 화산성 퇴적층으로 구성된다. 대부분의 유망지역은 Lower Villa de Ayala층의 중성 내지 염기성 화산성 쇄설암을 모암으로 한다. 다상의 변성작용은 지역 전반에 걸쳐 나타나고, Zacualpan 광산지역에서 수반되는 광화작용을 규제한다. Zacualpan 광산지역은 Sierra Madre del Sur로 알려진 유망 광화대에 해당한다. 이 지역은 화산성 괴상 황화광상과 천열수 맥상광상이 우세하다. 대부분의 천열수 광화작용은 3.2-3.8억 년 전 마그마의 생성이 활발한 판구조 체제 동안 발생하였다. 역사적으로 가장 주요한 지역은 Lipton Vein이다. 현재 Zacualpan 지구에서 채광량은 은 200-500 g/t 정도로 보고되고 있다. 일부 지역은 고품위 은 광화작용(은 1,000 g/t 이상)을 수반하고 있으며, 이는 탐사의 주 타겟이 되고 있다. Zacualpan에서 은 광화작용은 은이 부화된 중유황 천열수 맥상광상으로 상당히 유명하다. Fresnillo, Pachuca 및 Taxco 광산을 포함한 멕시코 소유의 대규모의 잘 알려진 광산들이 이에 해당한다. 이러한 광산들은 부산물로서 금, 아연, 연이 생산된다. 이러한 광상들은 맥상과 각력상 및 산점상 또는 망상세맥의 형태로 산출된다. 광화작용은 석영과 탄산염 맥 내에 주로 황철석과 다양한 섬아연석, 방연석, 은 혹은 금 광물들을 수반한다. 경제성을 갖는 광화작용의 수직적인 연장은 평균적으로 대략 300 m이고, 멕시코 중부에 위치한 Fresnillo의 광화작용은 100 m에서 960 m의 연장을 갖는 것으로 알려져 있다. 아주 오랫동안 Zacualpan에서 광산관계자의 관측과 IMPACT Silver에서 최근 작업의 결과를 토대로, Zacualpan 광산지역의 탐사모델은 새로운 광상의 탐사를 위한 가이드로서 개발되었다. Zacualpan 광산지역에서 가장 높은 경제성을 갖는 광화작용은 북서와 남북방향의 맥 구조를 따라 수반된다. 이러한 맥 구조들은 종종 이 지역을 가로질러 수 km까지 추적되지만, 경제성을 갖는 광화작용은 맥 구조를 따라서 구조적으로 유리한 지역에서 부광대를 형성한다. 부광대를 형성하기 위한 가장 유리한 구조적 지역은 북서와 남북방향으로 발달한 맥 구조들이 교차하는 지역이다. 지난 30년간 채광된 주요 부광대는 폭이 2-6 m 이고 수평연장은 30-150 m 그리고 수직연장은 230-300 m에 이른다. 가장 높은 생산량을 보이는 부광대는 남북방향의 이차 맥들이 Guadalupe 광산의 Lipton 맥을 가로지르는 지역에서 발달한다. 남동쪽으로 현재 Compadres 광산의 Silver Shoot No. 1으로부터 고품위 은을 생산하는 지역은 북서방향의 San Agustin 맥이 북향의 Cometa Navideno 맥에 의해 절단되는 지역에서 산출한다. 모암은 광화작용을 규제하는 또 다른 중요한 요소이다. 광산지역에서 경제성을 갖는 모든 광화작용은 중성 내지 염기성 화산암 특히 안산암과 관련 모암에 배태된다. 부광대가 셰일 혹은 편암으로 전이되는 지역에서, 맥들은 소규모의 세맥으로 나뉘어 진다. Zacualpan의 전형적인 천열수 광상에서 부광대는 상부로 가면서 은의 함량이 증가하고, 하부로 가면서 연 아연의 함량이 증가하는 수직적 대상을 보인다. 금의 함량 변화는 보다 예측이 어려우나 상당히 중요하다. Zacualpan 광산지역의 탐사모델에 사용된 토양 채취, 정밀지도제작, 트렌치 및 시추탐광은 현재 IMPACT Silver사가 이 지역을 대상으로 한 가장 효율적인 탐사방법으로 입증되었다. Zacualpan 프로젝트의 로얄 광산은 하루 500 톤을 제련하는 기반시설과 수반된 채굴권을 갖는 가행 광산들을 포함한다. 현재 IMPACT Silver사는 두 곳의 타겟 지역에서 정밀지도제작, 토양 및 암석 채취, 12공 총 1866 m의 시추탐광에 의한 사전조사로 구성된 4 단계 탐사를 수행했다. 암석 1,953개, 토양 1,631 개, 389 개의 시추코어 시료가 채집되고 분석되었다. 이러한 작업은 추가탐사를 요구하는 수많은 유망 광화대를 규명했다. Compadres 광산에서 현재 가행중인 지하갱 시료는 레벨 1에서 0.9 m의 폭을 갖는 광체에서 은 680 g/t과 금 0.3 g/t, 레벨 3에서 1.67 m의 폭을 갖는 광체에서 은 12,591 g/t과 금 12.07 g/t의 품위를 갖는 것으로 나타났다. 레벨 1에서 3까지 2-3 m의 폭과 30-40 m 연장으로 채광되었다. 시추탐광은 고품위를 갖는 몇몇의 중첩된 맥을 발견했다. Compadres 광산에서 남동방향으로 200 m지점에 위치한 Soledad 지역에서 5 개의 시추공으로부터 동일 맥 시스템이 발견되었고, 고품위 부광대의 상부로 간주되는 몇몇 중요 지점이 발견되었다. 초기 단계의 탐사는 유망 시추탐광 지역인 중간정도 내지 고품위 유망 광화대를 규명했다.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.67-84
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• 2010

In terms of business, forecasting is a work of what is expected to happen in the future to make managerial decisions and plans. Therefore, the accurate forecasting is very important for major managerial decision making and is the basis for making various strategies of business. But it is very difficult to make an unbiased and consistent estimate because of uncertainty and complexity in the future business environment. That is why we should use scientific forecasting model to support business decision making, and make an effort to minimize the model's forecasting error which is difference between observation and estimator. Nevertheless, minimizing the error is not an easy task. Case-based reasoning is a problem solving method that utilizes the past similar case to solve the current problem. To build the successful case-based reasoning models, retrieving the case not only the most similar case but also the most relevant case is very important. To retrieve the similar and relevant case from past cases, the measurement of similarities between cases is an important key factor. Especially, if the cases contain symbolic data, it is more difficult to measure the distances. The purpose of this study is to improve the forecasting accuracy of case-based reasoning approach using fuzzy relation and composition. Especially, two methods are adopted to measure the similarity between cases containing symbolic data. One is to deduct the similarity matrix following binary logic(the judgment of sameness between two symbolic data), the other is to deduct the similarity matrix following fuzzy relation and composition. This study is conducted in the following order; data gathering and preprocessing, model building and analysis, validation analysis, conclusion. First, in the progress of data gathering and preprocessing we collect data set including categorical dependent variables. Also, the data set gathered is cross-section data and independent variables of the data set include several qualitative variables expressed symbolic data. The research data consists of many financial ratios and the corresponding bond ratings of Korean companies. The ratings we employ in this study cover all bonds rated by one of the bond rating agencies in Korea. Our total sample includes 1,816 companies whose commercial papers have been rated in the period 1997~2000. Credit grades are defined as outputs and classified into 5 rating categories(A1, A2, A3, B, C) according to credit levels. Second, in the progress of model building and analysis we deduct the similarity matrix following binary logic and fuzzy composition to measure the similarity between cases containing symbolic data. In this process, the used types of fuzzy composition are max-min, max-product, max-average. And then, the analysis is carried out by case-based reasoning approach with the deducted similarity matrix. Third, in the progress of validation analysis we verify the validation of model through McNemar test based on hit ratio. Finally, we draw a conclusion from the study. As a result, the similarity measuring method using fuzzy relation and composition shows good forecasting performance compared to the similarity measuring method using binary logic for similarity measurement between two symbolic data. But the results of the analysis are not statistically significant in forecasting performance among the types of fuzzy composition. The contributions of this study are as follows. We propose another methodology that fuzzy relation and fuzzy composition could be applied for the similarity measurement between two symbolic data. That is the most important factor to build case-based reasoning model.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.123-136
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• 2014

Recently, online shopping has further developed as the use of the Internet and a variety of smart mobile devices becomes more prevalent. The increase in the scale of such shopping has led to the creation of many Internet shopping malls. Consequently, there is a tendency for increasingly fierce competition among online retailers, and as a result, many Internet shopping malls are making significant attempts to attract online users to their sites. One such attempt is keyword marketing, whereby a retail site pays a fee to expose its link to potential customers when they insert a specific keyword on an Internet portal site. The price related to each keyword is generally estimated by the keyword's frequency of appearance. However, it is widely accepted that the price of keywords cannot be based solely on their frequency because many keywords may appear frequently but have little relationship to shopping. This implies that it is unreasonable for an online shopping mall to spend a great deal on some keywords simply because people frequently use them. Therefore, from the perspective of shopping malls, a specialized process is required to extract meaningful keywords. Further, the demand for automating this extraction process is increasing because of the drive to improve online sales performance. In this study, we propose a methodology that can automatically extract only shopping-related keywords from the entire set of search keywords used on portal sites. We define a shopping-related keyword as a keyword that is used directly before shopping behaviors. In other words, only search keywords that direct the search results page to shopping-related pages are extracted from among the entire set of search keywords. A comparison is then made between the extracted keywords' rankings and the rankings of the entire set of search keywords. Two types of data are used in our study's experiment: web browsing history from July 1, 2012 to June 30, 2013, and site information. The experimental dataset was from a web site ranking site, and the biggest portal site in Korea. The original sample dataset contains 150 million transaction logs. First, portal sites are selected, and search keywords in those sites are extracted. Search keywords can be easily extracted by simple parsing. The extracted keywords are ranked according to their frequency. The experiment uses approximately 3.9 million search results from Korea's largest search portal site. As a result, a total of 344,822 search keywords were extracted. Next, by using web browsing history and site information, the shopping-related keywords were taken from the entire set of search keywords. As a result, we obtained 4,709 shopping-related keywords. For performance evaluation, we compared the hit ratios of all the search keywords with the shopping-related keywords. To achieve this, we extracted 80,298 search keywords from several Internet shopping malls and then chose the top 1,000 keywords as a set of true shopping keywords. We measured precision, recall, and F-scores of the entire amount of keywords and the shopping-related keywords. The F-Score was formulated by calculating the harmonic mean of precision and recall. The precision, recall, and F-score of shopping-related keywords derived by the proposed methodology were revealed to be higher than those of the entire number of keywords. This study proposes a scheme that is able to obtain shopping-related keywords in a relatively simple manner. We could easily extract shopping-related keywords simply by examining transactions whose next visit is a shopping mall. The resultant shopping-related keyword set is expected to be a useful asset for many shopping malls that participate in keyword marketing. Moreover, the proposed methodology can be easily applied to the construction of special area-related keywords as well as shopping-related ones.

• The KIPS Transactions:PartC
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• v.13C no.1 s.104
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• pp.83-94
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• 2006

This paper describes ATM cell encipherment method using Rijndael Algorithm adopted as an AES(Advanced Encryption Standard) by NIST in 2001. ISO 9160 describes the requirement of physical layer data processing in encryption/decryption. For the description of ATM cell encipherment method, we implemented ATM data encipherment equipment which satisfies the requirements of ISO 9160, and verified the encipherment/decipherment processing at ATM STM-1 rate(155.52Mbps). The DES algorithm can process data in the block size of 64 bits and its key length is 64 bits, but the Rijndael algorithm can process data in the block size of 128 bits and the key length of 128, 192, or 256 bits selectively. So it is more flexible in high bit rate data processing and stronger in encription strength than DES. For tile real time encryption of high bit rate data stream. Rijndael algorithm was implemented in FPGA in this experiment. The boundary of serial UNI cell was detected by the CRC method, and in the case of user data cell the payload of 48 octets (384 bits) is converted in parallel and transferred to 3 Rijndael encipherment module in the block size of 128 bits individually. After completion of encryption, the header stored in buffer is attached to the enciphered payload and retransmitted in the format of cell. At the receiving end, the boundary of ceil is detected by the CRC method and the payload type is decided. n the payload type is the user data cell, the payload of the cell is transferred to the 3-Rijndael decryption module in the block sire of 128 bits for decryption of data. And in the case of maintenance cell, the payload is extracted without decryption processing.