• Title/Summary/Keyword: 효율 성

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Improvement on Throughput of Workflow System through Pipelining Scheme (파이프라인 기법을 통한 워크플로우 시스템의 처리율 향상)

  • Kim, Daesun;Youn, Chan-Hyun
    • Annual Conference of KIPS
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    • 2012.04a
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    • pp.239-240
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    • 2012
  • 워크플로우 시스템은 시스템 구성과 관리, 운용에 있어서 편의성을 갖기 때문에 점차 적용 범위를 늘려가고 있는 추세이다. 하지만 워크플로우는 시스템의 효율성을 고려하지 않기 때문에, 분산 컴퓨팅 시스템과 같은 경우 워크플로우 도입에 따른 시스템 효율성 저하가 발생할 수 있다. 이러한 문제를 해결하고자 본 논문에서는 워크플로우 시스템에 파이프라인 기법을 도입하여 시스템의 전체 사용률을 높이고, 처리율을 향상시키는 방법을 제안한다.

Digital Rights Management Software of Development Efficiency Quality Evaluation Metrics (디지털저작권관리 소프트웨어 효율성의 품질평가 메트릭 개발)

  • Jin, Jin-yu;Yang, Hae-Sool
    • Annual Conference of KIPS
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    • 2009.11a
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    • pp.565-566
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    • 2009
  • 최근 인터넷 확산과 통신 기술의 발전은 컴퓨터 간의 상호 연결성을 증대시켜 디지털 콘텐츠를 쉽게 전파할 수 있게 되면서 디지털 콘텐츠 수요가 급격히 증가하고 있다. 본 연구에서는 디지털저작권관리 소프트웨어의 분야의 기반 기술을 조사하고 디지털저작권관리 소프트웨어 시장과 표준화 동향을 조사하며 디지털저작권관리 소프트웨어 효율성의 품질평가 메트릭을 개발하였다.

The Design of Rescreening System for Social Network (소셜 네트워크 재검색 시스템의 설계)

  • Sim, Gyu Ri;Kim, Dong Hyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.139-140
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    • 2022
  • 최근 소셜 네트워크 서비스 시장이 급속히 성장함에 따라 SNS 사용자 또한 지속적으로 증가하고 있다. 그러나, 광고성 게시물도 함께 증가함에 따라 해시태그 기반 검색의 정확도가 감소하는 문제점을 가지고 있다. 본 연구에서는 SNS 검색 활동의 정확도와 효율성을 개선하기 위하여 SNS 해시태그 기반 재검색 시스템을 제안한다. 제안 시스템을 적용하면 SNS 사용자의 검색 활동의 정확도와 효율성이 증가할 것으로 기대된다.

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Removal of Nitrate Nitrogen for Batch Reactor by ZVI Bipolar Packed Bed Electrolytic Cell (영가철 충진 회분식 복극전해조에 의한 질산성 질소 제거)

  • Jeong, Joo Young;Park, Jeong Ho;Choi, Won Ho;Park, Joo Yang
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.2B
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    • pp.187-192
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    • 2011
  • Nitrate nitrogen is common contaminant in groundwater aquifers, its concentration is regulated many countries below 10 mg/L as N (As per WHO standards) in drinking water. An attempt was made to get optimal results for the treatment of nitrate nitrogen in groundwater by conducting various experiments by changing the experimental conditions for ZVI bipolar packed bed electrolytic cell. From the experimental results it is evident that the nitrate nitrogen removal is more effective when the reactor conditions are maintained in acidic range but when the acidic environment changes to alkaline due to the hydroxide formed during the process of ammonia nitrogen there by increasing the pH reducing the hydrogen ions required for reduction which leads to low effectiveness of the system. In the ZVI bipolar packed bed electrolytic cell, the packing ratio of 0.5~1:1 was found to be most effective for the treatment of nitrate nitrogen because ZVI particles are isolated and individual particle act like small electrode with low packing ratio. It is seen that formation of precipitate and acceleration of clogging incrementally for packing ratio more than 2:1, decreasing the nitrate nitrogen removal rate. When the voltage is increased it is seen that kinetics and current also increases but at the same time more electric power is consumed. In this experiment, the optimum voltage was determined to be 50V. At that time, nitrate nitrogen was removed by 94.9%.

Data Envelopment Analysis for Evaluating Construction R&D Efficiency (건설R&D사업의 효율성평가를 위한 DEA 연구)

  • Park, Sang-Hyuk;Han, Seung-Heon;Kim, Dae-Hwan
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.255-260
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    • 2007
  • The construction industry has been recognized as lagging behind other industries in the area of research and development (R&D) due primarily to the lack of R&D funds. To overcome this situation, the Korea Ministry of Construction and Transportation has a plan to expand its investments on the construction R&D up to 1.72 billion US dollars over the next 3 years. Despite this effort, it is still challenging to conduct the quantitative measurement on the efficiency of construction R&D projects, which can be utilized as the objective basis in the reasonable selection of a promising R&D team or in the consequential evaluation of a R&D performance. This study aims to conduct the efficiency analysis on the construction R&D projects to provide the basis for evaluating the performance of research and development. Toward this end, this study performs an efficiency analysis, which reflects all of the input and output data into/from the construction R&D by utilizing the Data Envelopment Analysis (DEA). The proposed methodology can be utilized to make a better decision on the priority of the R&D investments and present a sound basis to suggest the areas to be improved so as to reduce the inefficiency of R&D projects.

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Analyzing the Effect of COVID-19 on the Operational Efficiency of Asia's Major Container Ports: A Data Envelopment Analysis (COVID-19 위기가 아시아 주요 컨테이너항만의 운영효율성에 미치는 영향)

  • KIM, Tae-Hyung;CHOI, Sang-Duk
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.6
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    • pp.763-774
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    • 2021
  • The COVID-19 virus has generated major shockwaves in all spheres of human life since its outbreak. Maritime transport (both cargo and passenger) is one of the industries most heavily affected, yet over 80% of the world cargo is transported by sea. This study analyzes maritime port operational efficiencies before and after the start of the COVID-19 pandemic to determine whether the pandemic has caused major differences in the operational efficiencies of many leading Asian maritime container ports via data envelopment analysis (DEA). The results of both the CCR and BCC models reveal that overall, efficiency during the COVID-19 pandemic has been higher than before the pandemic despite a few inefficiencies. This implies that the pandemic has so far not has major consequences for the operational efficiency of maritime ports. However, two ports (Busan and Guangzhou) should adjust the scale sizes and technical capacities of their operations to improve performance.

Scaling of Hadoop Cluster for Cost-Effective Processing of MapReduce Applications (비용 효율적 맵리듀스 처리를 위한 클러스터 규모 설정)

  • Ryu, Woo-Seok
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.1
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    • pp.107-114
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    • 2020
  • This paper studies a method for estimating the scale of a Hadoop cluster to process big data as a cost-effective manner. In the case of medical institutions, demands for cloud-based big data analysis are increasing as medical records can be stored outside the hospital. This paper first analyze the Amazon EMR framework, which is one of the popular cloud-based big data framework. Then, this paper presents a efficiency model for scaling the Hadoop cluster to execute a Mapreduce application more cost-effectively. This paper also analyzes the factors that influence the execution of the Mapreduce application by performing several experiments under various conditions. The cost efficiency of the analysis of the big data can be increased by setting the scale of cluster with the most efficient processing time compared to the operational cost.

Shipboard sewage treatment using Membrane Sequence Batch Reactor (MSBR을 이용한 크루즈선 오.폐수 처리 장치)

  • Kim, In-Soo;Lee, Eon-Sung;Oh, Yeom-Jae;Kim, Eog-Jo
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2010.04a
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    • pp.395-396
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    • 2010
  • Lab scale experiment study was carried out for biological process development on cruise. SBR(Sequence Bath Reactor), MBR(Membrane Bioreactor), and MSBR(Membrane Sequence Bath Reactor) system were investigated for practical application on shipboard sewage treatment. From the results it was suggested that MSBR system might be suitable process for cruise in terms of pollutant removal efficiency, maintenance and special environmental conditions of cruise. Based on Res. MEPC.159(55) the MSBR system was qualified for the required regulations.

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Framework Development for Efficient National R&D Information (국가R&D 정보의 효율적인 프레임워크 구상에 관한 연구)

  • You, Beom-Jong;Lee, Hyung-Jin
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.15 no.2
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    • pp.27-48
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    • 2004
  • Research and development projects in Research and development projects in Korea are ineffectively conducted due to the lack of a system for effectively planning, conducting and disseminating the result of the research projects. In this study, we have designed a framework for system that can be used in the planning and managing stage of National R & D information to guarantee standardization and extendability of the information. A national R & D technology information portal system for managing the distributed national R & D information on a single database is suggested based on this framework for the construction of a more effective information support system and the dissemination of national R & D information between researchers.

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Pipeline-Aware QC-IRA-LDPC Code and Efficient Decoder Architecture (Pipeline-Aware QC-IRA-LDPC 부호 및 효율적인 복호기 구조)

  • Ajaz, Sabooh;Lee, Hanho
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.10
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    • pp.72-79
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    • 2014
  • This paper presents a method for constructing a pipeline-aware quasi-cyclic irregular repeat accumulate low-density parity-check (PA-QC-IRA-LDPC) codes and efficient rate-1/2 (2016, 1008) PA-QC-IRA-LDPC decoder architecture. A novel pipeline scheduling method is proposed. The proposed methods efficiently reduce the critical path using pipeline without any bit error rate (BER) degradation. The proposed pipeline-aware LDPC decoder provides a significant improvement in terms of throughput, hardware efficiency, and energy efficiency. Synthesis and layout of the proposed architecture is performed using 90-nm CMOS standard cell technology. The proposed architecture shows more than 53% improvement of area efficiency and much better energy efficiency compared to the previously reported architectures.