• Journal of Information Processing Systems
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• 제15권3호
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• pp.616-631
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• 2019

With the rapid increase of information on the World Wide Web, finding useful information on the internet has become a major problem. The recommendation system helps users make decisions in complex data areas where the amount of data available is large. There are many methods that have been proposed in the recommender system. Collaborative filtering is a popular method widely used in the recommendation system. However, collaborative filtering methods still have some problems, namely cold-start problem. In this paper, we propose a movie recommendation system by using social network analysis and collaborative filtering to solve this problem associated with collaborative filtering methods. We applied personal propensity of users such as age, gender, and occupation to make relationship matrix between users, and the relationship matrix is applied to cluster user by using community detection based on edge betweenness centrality. Then the recommended system will suggest movies which were previously interested by users in the group to new users. We show shown that the proposed method is a very efficient method using mean absolute error.

• 한국자동차공학회논문집
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• 제8권6호
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• pp.87-100
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• 2000

HC and CO emissions during the cold start contribute the majority of the total emissions in the legislated driving cycles. Therefore, in order to minimize the cold-start emissions, the fast light-off techniques have been developed and presented in the literature. One of the most encouraging strategies for reducing start-up emissions is to place the light-off catalyst, in addition to the main under-body catalyst, near the engine exhaust manifold. This study numerically consider three-dimensional, unsteady compressible reacting flow in the light-off and under body catalyst to examine the impact of a light-off catalyst on thermal response of the under body catalyst and tail pipe emission. The effect of flow distribution on the temperature distribution and emission performance have also been examined. The present results show that flow distribution has a great influence on the temperature distribution in the monolith at the early stage of warm-up process and the ultimate conversion efficiency of light-off catalyst is severly deteriorated when the space velocity is above $100,000hr^{-1}$.

• 한국산학기술학회논문지
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• 제18권4호
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• pp.711-717
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• 2017

디젤엔진은 저온 상태의 냉시동 조건에서 디젤 미립화 특성 악화로 인한 시동성 및 유해배출가스 생성의 문제를 안고 있다. 본 연구에서는 냉시동 시의 연소개선을 위한 방안으로 다단분사 전략 적용 시의 연소 특성을 파악하고자 하였다. 본 연구에서는 냉시동성 개선을 위해 방안으로 다단분사 적용 시의 연소 특성을 파악하고자 하였다. 정적 연소 챔버 내에 설치한 압력센서를 이용하여 취득한 연소압 및 열방출율, 직접 화염 가시화기법을 적용한 화염강도를 이용하여 연소현상을 분석하고자 하였다. 시험 결과 단일 분사 대비하여 다단 분사 적용 시, 주분사에 의한 최대 연소압력 및 열방출 상승률이 증가하며, 주분사에 의한 화염 감지 기간이 단축됨을 확인하였다. 파일럿 분사량 변경을 통해 분사량 증대 시 파일럿 연소에 의한 열방출 향상에 기인한 주분사에 의한 연소가 개선됨을 확인하였다. 또한 분사압력 증대 시 연료 미립화 개선으로 인한 연소개선을 화염 강도 증대를 통해 확인할 수 있었다. 다만 분사량 및 분사압 증대는 벽면적심현상으로 인한 HC, CO의 배출 수준 악화를 초래할 수 있으므로, 실제 엔진 개발 시 이에 대한 정밀한 선정이 필요할 것으로 판단된다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.15-18
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• 2019

점점 더 많은 어플리케이션이 Serverless 컴퓨팅 기반으로 구현되고 있다. Serverless 서비스 제공자는 가용자원을 확보하기 위하여 요청이 장시간동안 발생하지 않은 서비스 인스턴스를 종료한다. 종료된 인스턴스에 대한 요청은 Cold Start 로 인한 지연시간이 발생하게 된다. 서비스 사용자는 Cold Start 를 방지하기 위해 인스턴스가 종료되지 않도록 주기적으로 의미 없는 요청을 하게 되고, 이는 Serverless 서비스 시스템에 불필요한 오버헤드를 발생시키게 된다. 따라서 이 논문은 이러한 불필요한 오버헤드를 줄이기 위한 전략을 제시하고 그 구현에 관해 설명한다.

• 한국자동차공학회논문집
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• 제11권1호
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• pp.1-6
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• 2003

Engine emission regulations are becoming more stringent nowadays. In cold transient regime, about 80% THC is exhausted to the atmosphere in the first 200s (US FTP cycles). Accordingly, reducing emission levels in the cold period immediately after the engine start before the catalysts reach their working temperature will be an especially critical factor in meeting more stringent regulations in the future. In this study, the total hydrocarbon quantities are measured using a Fast FID with gasoline fuel for a 4-cylinde. Sl engine, including Secondary Air Injection (SAI) system. Commercial SAI device's direction is reverse to the exhaust flow. In this study, a swirl flow type SAI system which is positioned between the exhaust manifold and exhaust port, was developed. We compared the swirl type secondary air injection with a commercial secondary air injection of .everse flow. The swirl type SAI showed better results in reducing HC by 26% than the commercial flow type SAI of reverse flow which was caused by the better mixing between the exhaust gas and the secondary air.

• 대한환경공학회지
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• 제33권4호
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• pp.223-230
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• 2011

EMEP/EEA Emission Inventory Guidebook에 의하면 자동차 주행에 따른 총 대기오염물질 배출량을 Hot Start와 Cold Start로 구분해 산출하도록 하고 있다. 본 연구에서는 이러한 자동차 주행주기 특성을 감안하여 교통사업의 타당성 분석 시환경비용절감 편익의 현실적인 산정방안에 대해 검토하였다. 이를 위해 교통수요 분석모형(EMME/3)을 이용하여 분석영향권내 모든 링크단위의 교통량과 통행속도 자료를 활용하는 Tier 3 방식으로 환경오염 물질을 선출하였다. 본 연구에서 제안된 방법론의 적용성 검토를 위해 현재 계획중인 철도 투자평가사업에 적용하였으며, 적용결과 환경부문의 편익이 기존 대비 약 30% 정도 증가하는 것으로 나타났다. 향후 본 연구에서 제안한 방법론이 투자평가과정에서 적용된다면 철도와 같은 친환경 교통수단의 투자활성화에 기여할 것으로 기대한다.

• 한국자동차공학회논문집
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• 제19권4호
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• pp.114-120
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• 2011

Fuel reforming technology for the fuel cell vehicles has been frequently applied to internal combustion engine for the reduction of engine out emissions. Since syngas which is reformed from fossil fuel has hydrogen as a major component, it has abilities to enhance the combustion characteristics with wide flammability and high speed flame propagation. In this paper, syngas was feed to a 2.0 liter SI engine with MPI to improve exhaust emissions under cold start and early state of idle condition. Syngas fraction is varied to 0%, 10%, 25%, with various ignition timings. Exhaust emission characteristics and the exhaust system temperature were measured to investigate the effects of syngas addition on cold start. Result showed that HC emission could be dramatically reduced due to the fact that syngas has $H_2$ and no HC as components. The amount of $NO_x$ emission was decreased with the increase of syngas fraction. Because the dilution effect of $N_2$ and the retard of ignition timing reduces the peak combustion temperature inside the cylinder. Exhaust gas temperature was lower than that of gasoline feeding condition. Retarded ignition timing, however, resulted in increased exhaust gas temperature approximated to gasoline condition. It is supposed that the usage of syngas in an SI engine is an effective solution to meet the future strict emission regulations.

• 한국연소학회:학술대회논문집
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• 한국연소학회 2001년도 제23회 KOSCO SYMPOSIUM 논문집
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• pp.169-178
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• 2001

Among the recent research ideas to reduce hydrocarbon emissions emitted from SI engines till light-off of catalyst since cold start are those exploiting non-thermal plasma technique and photo-catalyst that draws recent attention by virtue of its successful application to practical use to clean up the atmosphere using the feature of its relative independence on temperature. Based on the previous research results obtained with model exhaust gases using an experimental emissions reduction system that utilizes the non-thermal plasma and photo-catalyst technique, further investigation was conducted on a production N/A 1.5 liter DOHC engine during cold start to warm-up. For the effects of non-thermal plasma-photocatalyst combined reactor, 10% concentration reduction was achieved with the fuel component paraffins, and the large increase in non-fuel paraffinic components and acetylene concentrations were similar to those of base condition. However the absolute value was locally a bit higher than those of base condition since the products was made from the dissociation and decomposition of highly branched paraffins by plasma-photocatalyst reactor. Olefinic components were highly decomposed by about 75%, due to these excellent decompositions of olefins which have relatively high MIR values, and the SR value was 1.87 that is 30% reduction from that of base condition, then, the photochemical reactivity was lowered.

• 지능정보연구
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• 제17권3호
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• pp.99-114
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• 2011

본 연구에서는 협업필터링의 두 가지 근본적인 문제인 신규고객 추천(cold-start recommendation)과 희박성(sparsity) 문제를 해결하고자 한다. 먼저, 사회 네트워크 분석에서 가장 많이 활용 되고 있는 세 가지 중심성 지표인 연결중심성(degree centrality), 근접중심성(closeness centrality), 매개중심성(betweenness centrality)을 결합한 다양한 중심성 지표들을 만든 후 이를 기반으로 신규고객의 잠재 이웃고객을 찾고 그 이웃고객들의 구매정보를 이용하여 신규고객에게 상품을 추천하는 새로운 방법을 제시한다. 다음으로 희박성 문제를 해결하기 위하여, 구매정보가 충분한 고객에게는 협업필터링을, 그렇지 않은 고객에게는 협업필터링 대신 제시한 신규고객 추천방법을 적용하는 하이브리드 추천 방법을 제안한다. 제시한 추천 방법의 효과성을 평가하기 위하여 국내 유명 백화점 중의 하나인 H백화점의 구매 트랜잭션 데이터를 사용하여 실험하였다. 실험결과로부터 근접중심성과 매개중심성을 결합한 지표를 신규고객 추천 시에 사용할 경우 추천 성능이 가장 우수한 것으로 판명되었으며, 제안한 하이브리드 추천 방법이 기존의 협업필터링의 성능을 상당히 개선함으로써 희박성 문제를 해결할 수 있는 새로운 대안임이 입증되었다.

• 산업경영시스템학회지
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• 제40권4호
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• pp.154-163
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• 2017

Collaborative filtering, one of the most widely used techniques to build recommender systems, is based on the idea that users with similar preferences can help one another find useful items. Credit card user behavior analytics show that most customers hold three or less credit cards without duplicates. This behavior is one of the most influential factors to data sparsity. The 'cold-start' problem caused by data sparsity prevents recommender system from providing recommendation properly in the personalized credit card recommendation scenario. We propose a personalized credit card recommender system to address the cold-start problem, using multiple user profiles. The proposed system consists of a training process and an application process using five user profiles. In the training process, the five user profiles are transformed to five user networks based on the cosine similarity, and an integrated user network is derived by weighted sum of each user network. The application process selects k-nearest neighbors (users) from the integrated user network derived in the training process, and recommends three of the most frequently used credit card by the k-nearest neighbors. In order to demonstrate the performance of the proposed system, we conducted experiments with real credit card user data and calculated the F1 Values. The F1 value of the proposed system was compared with that of the existing recommendation techniques. The results show that the proposed system provides better recommendation than the existing techniques. This paper not only contributes to solving the cold start problem that may occur in the personalized credit card recommendation scenario, but also is expected for financial companies to improve customer satisfactions and increase corporate profits by providing recommendation properly.