고분자 전해질을 이용한 양이온교환막의 표면개질에 관한 연구

정경용,김한성,한정우,조영일 한국화학공학회 1994 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.32 No.1

고분자 전해질인 poly(1-alkyl-4-vinylpyridinium iodide) (alkyl: methyl, butyl, heptyl)을 이용하여 상용 양이온 교환막에 흡착시켜 개질한 후, 개질막의 전기화학적 특성과 Na^+ 및 Ca^(2+)의 분리 특성을 고찰하였다. 개질막은 개질변수에 따라 이온교환용량, 함수율, 전기전도도는 원막에 비해 특성치가 감소하였음을 알 수 있었다. 고분자 전해질의 분자량이 작을수록 동일한 함침시간에서 더 많은 양이 흡착되었으며, 흡착량이 클수록 선택도는 증가하나, 전기전도도와 이온 플럭스는 감소하였다. Na^+와 Ca^(2+)의 선택도는 알킬기의 화학식량이 증가할수록 증가하였으며, 개질막의 Na^+와 Ca^(2+)의 전기저항비는 선택분리도와 선형적 비례 관계를 나타내었다. Commercial cation exchange membrane was modified using poly(1-alkyl-4-vinylpyridinium iodide) as polyelectrolyte. And the electrochemical properties and permselectivity between Ca^(2+) and Na^+ of the modified membrane were investigated. Ion exchange capacity, water content and specific conductivity of the modified membrane was lower than the original membrane(CL-25T). The smaller the molecular weight of polyelectrolyte was, the larger the adsorbed amounts were for same dipping time. As the adsorbed amounts were larger, permselectivity was increased, but specific conductance and ion flux were decreased. Permselectivity was also increased with the formular wight of alkyl group, and specific resistance of Na^+, Ca^(2+) was proportional to permselectivity.

Stability of extracts from pollens of allergenic importance in Korea

정경용,Ji Eun Yuk,Jongsun Lee,Seok Woo Jang,Kyung Hee Park,이재현,박중원 대한내과학회 2020 The Korean Journal of Internal Medicine Vol.35 No.1

Background/Aims: Accurate diagnosis and the effects of allergen-specific immunotherapy for pollinosis are greatly dependent on the potency and stability of the extract. This study aimed to examine factors, such as temperature and storage buffer composition, that affect the stability of allergen extracts from pollens of allergenic importance in Korea. Methods: We prepared four pollen allergen extracts from ragweed, mugwort, Japanese hop, and sawtooth oak, which are the most important causes of seasonal rhinitis in Korea. Changes of protein and major allergen concentration were measured over 1 year by Bradford assay, two-site enzyme-linked immunosorbent assay, and sodium dodecyl sulfate-polyacrylamide gel electrophoresis after reconstitution of the lyophilized allergen extract in various buffers and stored at room temperature (RT, 18°C to 26°C) or refrigerated (4°C). Results: More than 90% of the original protein concentration in all four extracts examined was detected over 1 year when 50% glycerol was added and refrigerated, whereas 57.9% to 94.5% remained in the extracts at RT. The addition of 50% glycerol to the storage buffer was found to prevent protein degradation at RT. Amb a 1, a major allergen of ragweed, was almost completely degraded in 9 weeks at RT when reconstituted in a buffer without 50% glycerol. However, 55.6% to 92.8% of Amb a 1 content was detected after 1 year of incubation at 4°C in all buffer conditions except 0.3% phenol. Conclusions: Addition of 50% glycerol as well as refrigeration was found to be important in increasing the shelf-life of allergen extracts from pollens of allergenic importance.

제비 각시

정경용 문예운동사 2020 문예운동 Vol.- No.148

선호도 재계산을 위한 연관 사용자 군집 분석과 Representative Attribute -Neighborhood를 이용한 협력적 필터링 시스템의 성능향상

정경용,김진수,김태용,이정현,Jung, Kyung-Yong,Kim, Jin-Su,Kim, Tae-Yong,Lee, Jung-Hyun 한국정보처리학회 2003 정보처리학회논문지B Vol.10 No.3

추천 시스템에 있어서 협력적 필터링 기술은 많은 연구가 되고 있다. 그러나 협력적 필터링 기술을 이용한 추천 시스템은 초기 평가 문제와 희박성 문제가 발생한다. 이를 해결하기 위해서 본 논문에서는 선호도 재 계산을 위한 연관 사용자 군집과 베이지안 추정치를 이용한 사용자 선호도 예측 방법을 제안한다. 제안한 방법에서는 협력적 필터링 시스템에서 아이템의 속성을 고려하지 않는 단점을 보완하기 위해서 선호도에 가장 크게 영향을 미치는 대표 장르를 추출하여 유사한 이웃을 찾아 낼 때 예측에 이용하는 Representative Attribute-Neighborhood 방법을 사용한다. 협력적 필터링의 알고리즘에 군집 아이템 백터 내의 특정 아이템의 선호도를 재계산 하기 위한 연관 사용자 군집 분석을 적용하여 성능 향상을 하였다. 또 초기 평가 문제와 희박성 문제를 해결하기 위하여 Association Rule Hypergraph Partitioning 알고리즘을 사용하여 사용자를 장르별로 군집한다. 새로운 사용자는 Naive Bayes 분류자에 의해 이들 장르 중 하나로 분류된다. 또한, 분류된 장르 내에 속한 사용자들과 새로운 사용자의 유사도를 구하기 위해 Naive Bayes 학습을 통해 사용자가 평가한 아이템에 추정치를 달리 부여한다. 추정치가 부여된 선호도를 피어슨 상관 관계에 적용할 경우 결측치(Missing Value)로 인한 예측의 오류를 적게하여 예측의 정확도를 높일 수 있다. 제안된 방법은 기존의 방법보다 높은 성능을 나타냄을 보인다. There has been much research focused on collaborative filtering technique in Recommender System. However, these studies have shown the First-Rater Problem and the Sparsity Problem. The main purpose of this Paper is to solve these Problems. In this Paper, we suggest the user's predicting preference method using Bayesian estimated value and the associative user clustering for the recalculation of preference. In addition to this method, to complement a shortcoming, which doesn't regard the attribution of item, we use Representative Attribute-Neighborhood method that is used for the prediction when we find the similar neighborhood through extracting the representative attribution, which most affect the preference. We improved the efficiency by using the associative user's clustering analysis in order to calculate the preference of specific item within the cluster item vector to the collaborative filtering algorithm. Besides, for the problem of the Sparsity and First-Rater, through using Association Rule Hypergraph Partitioning algorithm associative users are clustered according to the genre. New users are classified into one of these genres by Naive Bayes classifier. In addition, in order to get the similarity value between users belonged to the classified genre and new users, and this paper allows the different estimated value to item which user evaluated through Naive Bayes learning. As applying the preference granted the estimated value to Pearson correlation coefficient, it can make the higher accuracy because the errors that cause the missing value come less. We evaluate our method on a large collaborative filtering database of user rating and it significantly outperforms previous proposed method.

IgE Cross-Reactivity between Humulus japonicus and Humulus lupulus

정경용,이종선,Gianni Mistrello,박경희,박중원 연세대학교의과대학 2018 Yonsei medical journal Vol.59 No.7

Purpose: Japanese hop (Humulus japonicus) is a major cause of weed pollinosis in East Asia. However, supplies of commercialallergen extract from this plant have not met clinical demand. The pollen of common hop (Humulus lupulus), a closely relatedspecies, may provide an alternative source if there is strong IgE cross-reactivity between these two species. We aimed to comparethe IgE cross-reactivity and allergenicity of common hop and Japanese hop pollen. Materials and Methods: Cross-reactivity was measured by inhibition ELISA. One- and two-dimensional (2D) gel analyses combinedwith IgE immunoblotting and mass spectrometry [liquid chromatography coupled to electrospray ionization tandem massspectrometry (LC-ESI-MS/MS)] were performed to detect IgE-reactive pollen components. Results: Up to 16.7% of IgE reactivity to Japanese hop was inhibited by common hop. A 12-kDa protein component of Japanese hoppollen that showed the most potent IgE reaction was absent from common hop. Six IgE-reactive components from Japanese hopwere detected by 2D gel electrophoresis and LC-ESI-MS/MS, but showed low Mascot scores, preventing positive identification. Conclusion: No significant IgE cross-reaction was observed for Japanese and common hop pollen allergens. Development of allergydiagnostic and immunotherapeutic reagents based on Japanese hop pollen are urgently needed.

문갑

정경용 문예운동사 2019 문예운동 Vol.- No.141

기대지평의 상승

정경용 문예운동사 2019 문예운동 Vol.- No.144

청평사 오르는 길

정경용 문예운동사 2018 문예운동 Vol.- No.138

Monoclonal Antibodies to Recombinant Fag e 3 Buckwheat Allergen and Development of a Two-site ELISA for Its Quantification

정경용,박경희,이재현,박중원 대한천식알레르기학회 2017 Allergy, Asthma & Immunology Research Vol.9 No.5

Purpose: Buckwheat is a major cause of anaphylaxis, and Fag e 3 is the key major allergen in buckwheat. However, an immunoassay system for the quantification of Fag e 3 has yet to be developed. Methods: We developed a 2-site enzyme-linked immunosorbent assay (ELISA) using monoclonal antibodies (mAbs) produced against recombinant Fag e 3. We applied this ELISA to quantify native Fag e 3 in total buckwheat extract. Results: Four clones of mAbs were produced, and all recognized vicilin allergens not only from buckwheat, but also from peanut and walnut. However, the ELISA using these antibodies was only able to quantify Fag e 3 in the total extract after addition of 1% sodium dodecyl sulphate (SDS) and heating, which facilitated dissociation of the allergen. The detection limit of the developed 2-site ELISA was 0.8 μg/mL. The measurement of Fag e 3 in the total extract of buckwheat showed that approximately 12% of protein in total buckwheat extract was Fag e 3. Conclusions: We have developed an ELISA system for the quantification of the group 3 buckwheat allergen, Fag e 3, specifically. This assay will be useful for standardization of buckwheat allergens and monitoring of buckwheat contamination in foods.

서버-클라이언트 기반의 협력적 필터링 개인화 기법을 이용한 감성 패션 디자인 시스템 개발

정경용,나영주,Jung, Kyongyong,Na, Youngjoo 한국섬유공학회 2005 한국섬유공학회지 Vol.42 No.2

In order to develop fashion products of sensibility and high quality, we propose the fashion design recommendation system (FDRAS), a design expert system. We programed the co-operative filter personal techniques, using collaborative filtering to search the textile and fashion design database, and this was an effective tool providing a fashion design fitted to customer's need. A user-interface tool is developed to recommend fashion designs according to the user's need, and enhance the efficiency in user interface. We selected 41 fashion design drawings from a picture dictionary to prepare the questionnaire: 15 collar types, 8 sleeve types, 10 skirt types and 3 lengths, and 5 color tones, and performed a survey for establishing the database. 889 subjects participated in this survey. Developing this recommendation system, database of the designs and the related sensibility, and transformation algorithm was established. The visualization of the results of recommended designs to a consumer is presented in 2D and 2.5D graphics. The performance of FDRAS is tested according to three algorithms in terms of mean absolute error (MAE).