• 제목/요약/키워드: 규모 효율성

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Use Case of Google Trigram: Application to Text Editor (구글 Trigram의 활용 사례: 문서 편집기로의 활용)

  • Hwang, Myung-Gwon;Lee, Hyo-Gap;Choi, Dong-Jin;Kim, Pan-Koo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.3-5
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    • 2010
  • 본 논문은 구글(Google)에서 제공하는 n-gram 데이터가 사람들에게 실제로 어느정도의 효율성을 제공할 수 있는지에 대한 내용을 다루고 있다. 이를 위해, 구글의 trigram만을 이용하며, 규모를 줄이기 위해 필터링 과정을 거쳐 trigram 데이터베이스를 형성하였다. 그리고 이를 반영할 수 있는 텍스트 에디터를 구현하여, 사람의 타이핑 속도에 따라 얻을 수 있는 효율성을 측정하였다. 실험 결과에서 n-gram 데이터가 업무 향상에 효율성을 제공할 수 있지만, 여전히 큰 규모의 데이터집합에서 검색하는데 소모되는 시간의 한계점을 발견할 수 있었다.

Management Efficiency of the Full-time and Part-time Oak Mushroom Farms using DEA models (DEA 모형을 이용한 주업과 겸업 표고재배 임가의 경영효율성 비교 분석)

  • Lee, Seong-Youn;Jeon, Jun-Heon;Won, Hyun-Kyu;Lee, Jung-Min
    • Journal of Korean Society of Forest Science
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    • v.103 no.4
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    • pp.639-645
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    • 2014
  • This study was conducted to evaluate the management efficiency of oak mushroom farms in Korea using the Data Envelopment Analysis (DEA), which is one of the non-parametric estimation methods. The data that was analyzed in this study was from the result of 2013 survey entitled "Standard Diagnostic Table for Oak Mushroom Management", which was conducted from March 2012 to October 2012. This survey was based on the inputs and outputs of 20 oak mushroom farms. Specifically, this study analyzed the technical efficiency, pure-technical efficiency and scale efficiency using CCR and BCC model of the DEA methods. Furthermore, this study compares the management efficiency between the full time oak mushroom production farms and part time oak mushroom production farms. Results showed that mean value for the technical efficiency was 0.655 which is considered as inefficient in general. For the pure-technical efficiency and scale efficiency, the mean values were 0.830 and 0.747, respectively which showed that inefficiency in the management was observed in the mushroom farms. Results also showed that there were seven farms with a total efficiency of 1, namely Decision Making Unit(DMU)2, DMU5, DMU6, DMU8, DMU10, DMU15 and DMU20. The management efficiency of DMU7 specifically the inputs for production was analyzed and compared to DMU5 and DMU6 and results showed that the DMU7 had an excessive inoculation and site development cost. Lastly, it was also observed that the full time mushroom production farms were more efficient as compared to the part time mushroom farms because of the lower scale efficiency value or smaller area for mushroom production allotted in the part time farms.

A Comparative Analysis of Terminal Efficiency in Northeast Asia Container Ports (동북아시아 주요 컨테이너항만의 효율성 비교연구)

  • Li, Duo;Kwak, Kyu-Seok;Nam, Ki-Chan;An, Young-Mo
    • Journal of Navigation and Port Research
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    • v.39 no.1
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    • pp.55-60
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    • 2015
  • The purpose of this study is to suggest a major strategy to become effective for each port in Northeast Asia by analyzing the relative efficiency of each port to determine the current level of efficiency, efficient harbors plan. Individual port of the major 16 ports in Northeast Asia was analysed targeting efficiency and relative efficiency. In this study, DEA technique was used. Of the DEA model, CCR (constant returns to scale) models and BCC (variable return to scale) model was applied to analyze the efficiency and effectiveness of the port. Then the efficiency measured through CCR model is again compared with the efficiency measured by the BCC model. In this way, the empirical analysis includes the input factors of the operating ports such as the number of berths, wharf, depth, total area of the pier, C / C numbers and output elements includes the container throughput. The results of the study show that most of the ports in China is efficient whereas those in Korea and Japan are relatively inefficient. There are some pairs of ports which has the similar input factors, like Busan port and Shanghai port, Lianyungang port and Incheon port, Dalian port and Gwangyang port, but the container throughput of them has a huge difference.

A Study on the discriminating of the hospitals based on the efficient insurance conversion factor by AHP and DEA (효율적 건강보험수가에 기반을 둔 병원 그룹화에 관한 연구 -AHP와 DEA를 이용한 분석-)

  • O, Dong-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.6
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    • pp.1304-1316
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    • 2009
  • This study is for the pursuit of the basic application of the efficient conversion factor in the fee contract. This aims to investigate the effects of DEA efficiency index and conversion factors to identify and group the 60 hospitals with intern and residents education. To achieve the aims, AHP was used to select the inuput and output variables for DEA. It was found that the more inefficient in the technical and scale side, the higher the conversion factors were. Conversion factor and DEA efficiency index can be used very effectively to group and discriminant hospitals into a specialized general hospital and a general hospital. Even if the variables used to calculate DEA efficiency are applied to discriminant analysis, The conversion factor and DEA efficiency index have a significant power to make a function modeling. So, if we can make a more conclusive proof based on the large number samples, We can imagine to introduce a efficiency concept in the insurance fee contracts about a conversion factor in Korea Health Insurance System.

Management Efficiency of Introduction Company of ERP System using DEA (DEA를 이용한 ERP시스템 도입기업의 경영효율성)

  • Kim, Jong-Ki;Kang, Da-Yeon
    • The Journal of the Korea Contents Association
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    • v.8 no.8
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    • pp.147-157
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    • 2008
  • ERP is the general trend of industrial information system and many companies are introducing strategically to strengthen the competitive power. This paper analyzes the efficiency of introducing companies of ERP system using DEA model. We also suggest the introducing of ERP system which can be benchmarked based on analyzed information. We evaluate the CCR, BCC efficiency and RTS of 38 introducing companies of ERP system. The result shows that three enterprises whose values of CCR efficiency are 1, and seven enterprises whose values of BCC efficiency are 1. RTS indicates IRS of 22 companies. DRS of 2 companies and CRS of 4 companies.

Analysis of the Efficiency of National SW R&D Projects Using DEA (DEA를 활용한 SW 국가연구개발사업 효율성 분석)

  • Ro, Seok-Hyun;Cho, Nam-Wook
    • The Journal of Society for e-Business Studies
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    • v.26 no.2
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    • pp.45-59
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    • 2021
  • As software(SW) has been considered as a key driver of the fourth industrial revolution, significant R&D investment has been made by Korean government. Despite the attention and support by the government, systematic analysis on the SW R&D efficiency has not been fully addressed. In this study, the efficiency of SW national research and development projects was analyzed using Data Envelopment Analysis(DEA) techniques. Efficiency was measured from both static and dynamic perspectives based on 1,463 projects conducted by the National IT Industry Promotion Agency(NIPA) from 2008 to 2018. The static efficiency analysis identified the causes of inefficiency as scale and technology problems. As a result of dynamic efficiency analysis, we present a sector-specific response model using an efficiency-stability matrix. This study is meaningful in that efficiency analysis was conducted on the entire SW national R&D project, and static/dynamic efficiency analysis results are expected to be used as a guideline for planning SW national R&D project.

A Study on the size of the school rationalization orientation considering the local characteristics (지역특성을 고려한 학교규모 적정화 방향 설정에 관한 연구)

  • Lee, Sang-Min;Cho, Chang-Hee
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.15 no.1
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    • pp.40-48
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    • 2016
  • School appropriate scale refers to the size of the school to minimize students' educational deficits and ensure an appropriate level of students, the number of classes, class size, etc., and maximize educational effects. Difficult set of absolute standards appropriate scale school, contemporary social situations and educational effects, and seek a comprehensive and reasonable direction, considering this is required. School appropriate scale it is preferable to consider the effect of conditions in areas such as education, curriculum, but it is common to set the range in terms of school operational effectiveness, and efficiency of education funding, school environment. So the concept of the appropriate scale including the school's status changes associated with school size, is seeking a new direction is needed so that the school environment, etc. are considered.

A Comparative Study on the Efficiency of Major Container Ports (세계 주요 컨테이너항만의 효율성 비교 연구)

  • Son, Yong-Jung
    • Journal of Korea Port Economic Association
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    • v.26 no.1
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    • pp.131-143
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    • 2010
  • This study aims to analyse efficiencies of international main container ports. For the purpose, it selected twenty main ports based on the volume of cargo of ports recorded in Containerisation International Yearbook and conducted BCC(efficiency analysis) on them. The variables which may influence efficiency of ports were selected based on previous studies. Berth, Depth, Crane and Total area were input variables and Total TEU was an output variables. The results are summarized as follows: First, DEA-CCR efficiency of Shenchen Port(China) was 1.0, which was the most efficient poor analysed. Second, DEA-BCC efficiency of Port of Singapore, Shenchen Port(China), Ningbo Port (China), Port of Tanjung Pelepas (Malaysia) was 1.0, which was the most efficient analysed. Third, efficient scale of Shenchen Port(China) has been 1.0 for four subsequent years from 2004 to 2007, which was the most efficient analysed.

An Efficient Content-based Retrieval System using High-Dimensional Index Structure Image Database (대규모 이미지 데이터베이스에서 고차원 색인 구조를 이용한 효율적인 내용 기반 검색 시스템)

  • Lee, Dong-Ho;Park, Ju-Hong;Jeong, Jin-Wan;Kim, Hyeong
    • Journal of KIISE:Software and Applications
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    • v.26 no.1
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    • pp.52-65
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    • 1999
  • 이미지나 비디오, 오디오와 같이 멀티미디어 데이터들은 기존의 단순한 텍스트 기반의 데이터에 비하여 대용량적인 특성과 비정형적인 특성을 가지고 있어서 검색시 많은 어려움이 따른다. 본 논문에서는 대규모의 이미지 데이터베이스에서 효율적이고 신속하게 사용자가 원하는 이미지를 검색할수 있는 내용 기반 검색 시스템을 제시한다. 이를 위해서 본 논문에서는 최근 여러 장점으로 인하여 신호 분석이나 이미지 압축 분야에 많이 사용되는 웨이브릿 변환을 이용하여 이미지 데이터로부터 내용 기반 검색에 사용되는 특징 벡터를 효율적으로 추출하는 기법과 유사성 측정 방법을 제안한다. 그리고, 이러한 특징 추출방법과 유사성 측정 방법을 이용하여 내용 기반 질의 및 검색을 수행할 경우, 검색 조건을 만족하는 객체인데 실수로 검색해내지 못하는 경우인 false dismissals 이 발생하지 않음을 보인다. 또한 대규모 이미지 데이터베이스에서 신속한 내용 기반 검색을 지원하기 위하여 고차원 데이터에 대한 효율적인 색인을 제공하는 X-tree를 이용한 이미지 색인 방법을 보이며 이것이 기존의 순차 검색이나 R*-tree를 이용한 색인 방법보다 신속하게 이미지 데이터들을 검색할 수 있다는 것을 다양한 실험을 통해 보인다. 마지막으로 QBIC에서 제안한 검색 적합성 측정 방법을 이용하여 본 논문에서 제안하는 내용 기반 이미지 검색시스템의 검색 적합성을 보인다.

Analysis of Management Efficiency of the Game Software and Service Industry (게임 소프트웨어 및 서비스 산업의 경영효율성 분석)

  • Ko, Dong-Won
    • The Journal of the Korea Contents Association
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    • v.12 no.9
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    • pp.340-347
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    • 2012
  • In Korea, the game software and service industry is the core cultural industry from it's significant academic and policy. However, recent growth is slowing down because of increasing competition in the industry. In other words, most of the companies growth have reached limit caused by focusing only on short-term revenue-generating management, Therefore, the game software and service companies are needed to emphasize strategic planning of R&D and product development based on the long-term perspective. The purpose of this analysis is to measure the efficiency of management by data envelopment analysis(DEA), using data from 20 companies in the game software and service industry. Input variances are number of labor, total asset, and total investment and output variances are total sale and enterprise value. The results are followings: First, There was a different efficiency between the companies in the game software and service industry. The eight companies was inefficiency. Second, six inefficiency companies were excessive number of the employees and investment assets. third, four companies were CRS, five companies were IRS and eleven companies were DRS. From the result, five companies have to increase the scale of input variance and eleven companies also have to improve efficiency of input variance.