• 한국콘텐츠학회논문지
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• 제20권5호
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• pp.665-680
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• 2020

본 연구에서는 국내 온라인게임시장이 RPG 장르에서 MOBA와 FPS/TPS 장르로 바뀐 현상을 아즈마 히로키의 데이터베이스 소비론을 바탕으로 분석하였다. 장르별 대표적인 게임인 World of Warcraft, League of Legends, Overwatch를 대상으로 선정하여 게임 속 스토리, 캐릭터, 진행방식 그리고 소비자가 게임 후 제작한 시뮬라크르를 분석하였다. 본 연구에서는 장르의 유행 변화는 소비자가 데이터베이스 소비에 보다 더 가까워졌기 때문이라는 것을 확인하였다. 게임 소비자들은 데이터베이스를 바탕으로 만들어진 더 작은 이야기와 캐릭터 소비를 선호하는 것으로 나타났으며, 소비자들은 다른 콘텐츠에 비해 보다 철저한 시뮬라크르를 생산하고 이를 다시 데이터베이스화하는 것을 확인하였다. 본 연구는 국내 온라인게임시장 변화에 대해서 분석한 국내 첫 번째 연구이자, 아즈마 히로키의 소비론을 게임에 접목시켰다는 점에서 차별성을 가지고 있다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2006년도 추계학술대회 논문집
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• pp.719-722
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• 2006

At present, In korea one of big characteristics in electricity power market is unique seller but in the near future competitions are expected in the market. Another big trend is development of IT technology. Through IT, remote inspection for power usage are possible. So huge power consumer like KORAIL it is necessary to investigate power consumption pattern. This paper presents load consumption pattern for representative substation and billing system database program. Base on the substation annual power usage data, the characteristic of the substation power consumption are investigated and effective electrical billing system are compared each other. The database program was properly designed to examine the billings.

• International Journal of Railway
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• 제6권2호
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• pp.33-44
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• 2013

In recent years, energy consumption in the transportation sector by expanding motorization continues to increase in almost every country in the world. Moreover, the growth rate of the transportation energy consumption is significantly higher than those of the civilian and industrial sectors. Therefore, every country strives to reduce its dependence on private transport, which is the main contributor to the transportation energy consumption. In many countries, concepts such as Transit Oriented Development (TOD) or New Urbanism, which controls road traffic by increasing the proportion of the public transportation significantly, have been implemented to encourage a modal shift to public transport. However, the level of change required for eliminating environmental problems is a challenging task. Minimizing transportation energy consumption by controlling the increase of the traffic demand and maintaining the level of urban mobility simultaneously is a pressing dilemma for each city. Grasping the impact of the diversity of the urban transport and infrastructure is very important to improve transportation energy efficiency. However, the potential for reducing urban transportation energy consumption has often been ineffectively demonstrated by the diversity of cities. Therefore, the accuracy of evaluating the current efficiency rate of the urban energy consumption is necessary. Nevertheless, quantitative analyses related to the efficiency of transportation energy consumption are scarce, and the research on the current condition of consumption efficiency based on international quantitative analysis is almost nonexistent. On the basis of this background problem definitions, this research first built a database of the transportation energy consumption of private modes in 119 cities, with an attempt to reflect individual travel behaviors calculated by Person Trip data. Subsequently, Data Envelopment Analysis (DEA) was used as an assessment method to evaluate the efficiency of transportation energy consumption by considering the diversity of the urban traffic features in the world cities. Finally, we clarified the current condition of consumption efficiency by attempting to propose a target values for improving transportation energy consumption.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.591-593
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• 2007

This paper is to cluster the AMR (Automatic Meter Reading) data. The load survey system has been applied to record the power consumption of sampling the contract assortment in KEPRI AMR. The effect of the contract assortment change to the customer power consumption is determined by executing the clustering on the load survey results. We can supply the power to customer according to usage to the analysis cluster. The Korea a class of the electricity supply type is less than other country. Because of the Korea electricity markets exists one electricity provider. Need to further divide of electricity supply type for more efficient supply. We are found pattern that is different from supplied type to customer. Out experiment use the Clementine which data mining tools.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2008년도 춘계학술발표대회
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• pp.231-234
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• 2008

Currently an automated methodology based on data mining techniques is presented for the prediction of customer load patterns in load demand data. The main aim of our work is to forecast customers' contract information from capacity of daily power consumption patterns. According to the result, we try to evaluate the contract information's suitability. The proposed our approach consists of three stages: (i) data preprocessing: noise or outlier is detected and removed (ii) cluster analysis: SOMs clustering is used to create load patterns and the representative load profiles and (iii) classification: we applied the K-NNs classifier in order to predict the customers' contract information base on power consumption patterns. According to the our proposed methodology, power load measured from AMR(automatic meter reading) system, as well as customer indexes, were used as inputs. The output was the classification of representative load profiles (or classes). Lastly, in order to evaluate KNN classification technique, the proposed methodology was applied on a set of high voltage customers of the Korea power system and the results of our experiments was presented.

• Agribusiness and Information Management
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• 제3권1호
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• pp.11-22
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• 2011

This study describes the development of a web-based system that collects all data generated in the research conducted to set pre-harvest residue limits (PHRLs) for agricultural product safety control. These data, including concentrations of pesticide residues, limit of detection, limit of quantitation, recoveries, weather charts, and growth rates, are incorporated into a database, a regression analysis of the data is performed using statistical techniques, and the PHRL for an agricultural product is automatically computed. The development and establishment of this system increased the efficiency and improved the reliability of the research in this area by standardizing the data and maintaining its accuracy without temporal or spatial limitations. The system permits automatic computation of the PHRL and a quick review of the goodness of fit of the regression model. By building and analyzing a database, it also allows data accumulated over the last 10 years to be utilized.

• Asian Pacific Journal of Cancer Prevention
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• 제14권9호
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• pp.4965-4972
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• 2013

This study aimed to discuss the consumption of alcohol as a risk factor for major cancers. We performed a search in the PubMed database, using the following inclusion criteria: meta-analysis published in English in the last 10 years that addressed the relationship between alcohol and the risk of developing cancer. The results indicate that moderate to heavy consumption of alcohol increases the risk of developing cancer of the oral cavity and pharynx, esophagus, stomach, larynx, colorectum, central nervous system, pancreas, breast and prostate. This review did not find any association between alcohol consumption and an increased risk of cancers of the lung, bladder, endometrium and ovary. It was also observed that alcohol consumption may be inversely related to thyroid cancer. Our systematic review has confirmed consumption of alcohol as a risk factor for the development of several types of cancer.

• 비교문화연구
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• 제45권
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• pp.433-478
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• 2016

이 논문은 국내에서 수년 전부터 유행하고 있는 북유럽디자인 소비에 대한 분석을 통해 한국 소비문화의 흐름에서 일본의 역할을 조명하는 연구이다. 비서구 국가 중 유일하게 선진 자본주의 국가의 대열에 합류했고 1980년대에는 미국과 경제력을 다투었던 일본이었지만 문화적 영향력에 대한 평가는 낮았다. 그런 일본이 1990년대 들어 대중문화상품으로 동아시아 지역에 어필하다가 대중문화 상품의 인기가 가라앉은 후에는 만화, 게임, 애니메이션 등 오타쿠계 서브컬쳐로 글로벌한 문화적 영향력을 행사하고 있다. 이 글에서는 1990년대부터 부상한 일본 문화의 영향력을 새로운 자포니즘으로 보고 한국의 북유럽 소비가 자포니즘의 매개와 주도 하에 진행되어 왔음을 제시한다. 일본이 구성한 북유럽에 대한 의미와 상징이 한국의 북유럽 소비에서 관철되고 있다는 의미이다. 의미와 스타일의 측면에서 일본의 슬로무비는 북유럽디자인에 미국발 '킨포크' 코드를 결합시켰다. 디자인의 측면에서는 아르누보를 매개로 일본 미학은 북유럽디자인과 시각적 유사성을 얻을 수 있었고 일본 가와이이 자카소품을 통해 북유럽디자인과 시각적 친숙함도 확보했다. 무엇보다 일본 잡화브랜드들이 출시한 북유럽풍 생활소품들을 통해 일상 속으로 북유럽디자인이 스며들었다. 또한 국내의 북유럽 소비는 일본 오타쿠들이 서브컬쳐를 포스트모던하게 소비하는 방식인 데이터베이스 소비방식으로 진행되고 있다. 일본이 만들어낸 북유럽에 대한 모에 요소가 한국에서도 북유럽 소비의 기호로 작동하고 있는 것이다.

• 한국컴퓨터정보학회논문지
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• 제26권1호
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• pp.231-238
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• 2021

이 논문은 Covid-19 이후 기간의 빅데이터를 활용하여 일상에서 주문하는 음식 배달과 소비의 경향을 분석하는 방법을 제시한다. 빅데이터를 분석하고 데이터베이스 시스템을 이용하여, 날씨를 제외한 네 개의 요소들이 배달의민족 매출과 의미있는 상관관계가 있는 것으로 확인되었다. 이 연구는 KBS, MBC와 SBS 언론매체의 빅데이터 분석에서 Covid-19 관련 기사 다음 날에 음식 배달과 소비 증가가 거의 60%에 달하는 것을 발견하였다. 또한 Naver 검색결과에서도 Covid-19 관련 기사 다음 날에 심각하게 의미있는 음식 배달과 소비 증가를 발견하였다. 그 이외에, 소비의 흐름에 있어서 모바일을 통한 배달이 주류가 될 것이며 밀레니얼 세대가 대세가 될 것이라는 것도 알 수 있었다. 본 연구는 방대하고 구체적인 데이터를 사용하여 똑같은 방법으로 경기 침체기에 다른 산업 분야에 대하여 분석을 가능하게 하는 것으로, 기업의 입장에서 발빠른 대응으로 경기 침체 속의 호황을 맞이할 수 있는 분석과 방법을 제공하는 데 기여할 수 있다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.1511-1514
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• 2007

KORAIL is one of the biggest consumer in electric power market so it is necessary to investigate power consumption pattern and optimize power rates. This paper presents simulation program for electric power rates define program based on billing system database. Base on the substation annual power usage DB data, the characteristic of the substation power consumption are investigated and effective electrical billing system are compared each other. Through this program it is verified that we can save more then several hundred million won for a year. Also electric train air condition power consumption was measured to figure the method how to reduce peak energy consumption.