• 제목/요약/키워드: 효율성 향상

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Global Competitiveness Analysis of National Defense Industry - DEA and Malmquist Production Analysis- (국내 방위산업 글로벌 경쟁력 분석 -효율성 및 생산성 중심으로-)

  • Kim, Joon-Young;Hong, Jong-Yi
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.12
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    • pp.8378-8385
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    • 2015
  • The interest of global competitiveness for national defense industry. This study analyzes the efficiency and productivity of 45 defense companies in each continent(North America, Europe and Northeast Asia, etc.), including Korea defense companies. It is analyzed by Data Envelopment Analysis(DEA) and Malmquist Productivity Analysis over the period 2009-2013(5 years). The sample companies has been selected on the data avilability among the SIPRI Top 100 arms-producing and military services companies in the world(excluding China) in 2013. It extracts the relative efficiency and Malmquist productivity index of companies and each continent. Based on the DEA and MPI results, this paper estimates the global competitiveness and position of national defense industry and extracts implication. This study can be utilized for improvement of national defense industry and policy planning for cultivating the national defense companies.

정책토론회 - 건축설계의 국제경쟁력 확보와 전문화 방안

  • Korea Institute of Registered Architects
    • Korean Architects
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    • no.12 s.332
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    • pp.34-42
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    • 1996
  • 우리 협회는 지난 11월 26일 오후 2시 협회 대강당에서 '건축설계의 국제경쟁력 확보 및 전문화 방안'을 주제로 토론회를 개최하였다. WTO출범과 건축설계시장개방 등 급격한 대내ㆍ외적 환경변화에 처해 있는 우리 건축계의 국제경쟁력 확보 방안을 마련하기 위해 열린 이날 토론회에서는 경쟁력 확보를 위해 건축설계사무소마다 다양한 전문분야를 확보하고, 건축설계 생산성 향상을 위해 설계업계와 구조, 설비 등 관련 전문분야가 협력체제를 구축해야 하며, 건축의 상품성과 문화예술성이 함께 고려된 건설관련 법안이 마련돼야 한다는 주장이 제기됐다. 이날 서울시립대 최찬환교수는 '건축설계의 경쟁력 확보 방안'이란 주제발표를 통해 해외건설업계의 국내진출에 대응하기 위해서는 설계사무소가 전문성과 효율성을 확보해야 한다고 강조하면서 전문영역을 크게 주거, 상업시설, 공공시설, 교육문화시설, 사회복지시설, 교통 및 운수시설 등으로 구분하였다. 최교수는 또 외국업체에 의한 국내시장 잠식을 막고 우리가 해외에 진출하기 위해서는 해외건설업체와 협력해 정보와 기술, 경험 등을 지원받아야 하고 R&D에 대한 투자를 적극적으로 해야한다고 강조했다. 이어 '건축설계의 전문화'에 대해 주제발표를 한 강원대 박경립 교수는 국내 건설관련문제점 개선과 대외경쟁력 강화를 위해 현재 입법추진되고 있는 건설산업기본법이 건축설계의 독자성과 전문성을 고려하지 않고 있다고 지적하면서 이에 대한 보완필요성을 제기하였다. 박교수는 또한 건축설계분야가 갖고 있는 전문성과 함께 '건축문화'라는 사회문화적 측면의 중요성이 인식돼야 한다며 건축의 상품성과 문화예술성이 함께 고려된 건설관련 법안이 마련돼야 한다고 지적했다. 박교수는 이밖에도 사회발전에 따른 새로운 전문영역의 개발로 실내 설계와 도시설계를 예로 들었으며 정보화에 맞게 고도의 전문성을 바탕으로 Network체계를 구축하고 그 핵심은 건축사협회에 정보Network를 구축하여 활용하는 것이라고 제안했다. 한편 주제발표 후에는 약 3시간여에 걸쳐 이문보(동국대 교수), 손세관(중앙대 교수), 이병담(현대산업개발 부사장), 김인호(국방부 건설기술과장), 유경철(삼육건축사사무소 대표), 이관영(본 협회 이사)씨 등 건설ㆍ건축관계자들이 참가한 종합토론이 이어졌다. 이 자리에서는 사회의 인식에 앞서 건축계 내부적으로 전문성과 효율성의 확보에 나서야 한다는 의견과 함께 무한경쟁속에서 우리 건축설계의 경쟁력을 높일 수 있다는 다양한 의견들이 제기되었다. 본지에서는 이번 토론회의 주제발표 내용을 요약 정리하여 게재한다.

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A Self-Recovering Key Management Scheme for Reliable Broadcast Encryption (신뢰성 있는 브로드캐스트 암호화를 위한 자가 키 복구 기법)

  • Hur, Jun-Beom;Yoon, Hyun-Soo
    • Journal of KIISE:Information Networking
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    • v.36 no.6
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    • pp.471-480
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    • 2009
  • One of the principal impediments to the achievement of a scalable access control for a large number of subscribers in a public broadcast is to distribute key update messages reliably to all stateless receivers. However, in a public broadcast, the rekeying messages can be dropped or compromised during the transmission over an insecure broadcast channel, or transmitted to the receivers while it was off-line. In this study, we propose a novel group key management scheme that features a mechanism that allows the legitimate receivers to recover the current group key even if they lose key update messages for long-term sessions using short hint messages and member computation. The performance analysis result shows that the proposed scheme has advantages of the scalable and efficient rekeying compared with the previous reliable group key distribution schemes. The proposed key management scheme targets a conditional access system in a media broadcast where there is no feedback channel from receivers to the broadcasting station.

Design and Implementation of the Front part of an Agricultural Electric Vehicle based on Vacuum Forming using Computational Structural Analysis

  • Lee, Hun-Kee;Park, Myeong-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.10
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    • pp.45-51
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    • 2021
  • In this paper, we propose a 3D design method of the vacuum forming method of the front part to improve the lightness and production efficiency of agricultural electric vehicles. For agricultural electric vehicles, lightness and production efficiency are more important than the strength of materials for collision protection. In this paper, we propose a vacuum forming design method that can replace complex machining processes such as laser machining, bending, and painting. The main purpose of this research is to improve product stability, productivity and convenience through 3D design of the front part and development of vacuum forming mold technology. Research procedure follows the 3D modeling of the front part using CATIA, finite element analysis for the structural stability using ABAQUS, manufacturing prototype for the investigation of the dimensions using 3D scanner and actual driving test under agricultural electric vehicle usage environment. The results verifies the proposed 3D design method of the vacuum forming method and are expected to be widely used by agricultural workers through the simplification of the production process of agricultural electric vehicles.

Acceleration of Anisotropic Elastic Reverse-time Migration with GPUs (GPU를 이용한 이방성 탄성 거꿀 참반사 보정의 계산가속)

  • Choi, Hyungwook;Seol, Soon Jee;Byun, Joongmoo
    • Geophysics and Geophysical Exploration
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    • v.18 no.2
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    • pp.74-84
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    • 2015
  • To yield physically meaningful images through elastic reverse-time migration, the wavefield separation which extracts P- and S-waves from reconstructed vector wavefields by using elastic wave equation is prerequisite. For expanding the application of the elastic reverse-time migration to anisotropic media, not only the anisotropic modelling algorithm but also the anisotropic wavefield separation is essential. The anisotropic wavefield separation which uses pseudo-derivative filters determined according to vertical velocities and anisotropic parameters of elastic media differs from the Helmholtz decomposition which is conventionally used for the isotropic wavefield separation. Since applying these pseudo-derivative filter consumes high computational costs, we have developed the efficient anisotropic wavefield separation algorithm which has capability of parallel computing by using GPUs (Graphic Processing Units). In addition, the highly efficient anisotropic elastic reverse-time migration algorithm using MPI (Message-Passing Interface) and incorporating the developed anisotropic wavefield separation algorithm with GPUs has been developed. To verify the efficiency and the validity of the developed anisotropic elastic reverse-time migration algorithm, a VTI elastic model based on Marmousi-II was built. A synthetic multicomponent seismic data set was created using this VTI elastic model. The computational speed of migration was dramatically enhanced by using GPUs and MPI and the accuracy of image was also improved because of the adoption of the anisotropic wavefield separation.

Endotracheal Intubation of Paramedics in a Moving Ambulance (이동 중 구급차에서 1급 응급구조사의 기관내 삽관)

  • Shim, Gyu-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.11
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    • pp.5292-5298
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    • 2012
  • The purpose of this study is to perform the effectively advanced airway management in an emergency patient with cardiac arrest and trauma by comparing the appearance of influence in a change of visual-field height upon endotracheal intubation according to a change in position with intubation of paramedics in a moving ambulance and by analyzing the appearance of the influence in a patient's change in position with intubation upon speed in endotracheal intubation. Research subjects were randomly extracted 60(30 people for control group, 30 people for experimental group) people as the paramedics who are working at 13 fire stations in C Province. Data analysis was carried out ${\chi}^2$-test, independent t-test, paired t-test by using SPSS WIN 14.0 Version. As a result of research, to improve speed of the advanced airway management, it is considered to be likely effective in a patient's sniffing position and in the endotracheal intubation in the upper space of the main stretcher. The self-confidence in intubation after experiment increased significantly. Thus, the continuous education(training) on the intubation position and method within ambulance is considered to be likely needed for improving efficiency of the advanced airway management.

A Decision Making Support Model of Work Item-based Adaptation Strategy for RFID-based Construction Logistics and Progress Management (RFID 기반의 건설 물류 및 진도관리 통합체계를 위한 공종별 적용전략 의사결정모델)

  • Koo, Do-Hyung;Yoon, Su-Won;Chin, Sang-Yoon
    • Korean Journal of Construction Engineering and Management
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    • v.10 no.1
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    • pp.3-15
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    • 2009
  • As building construction projects have been more higher and bigger in scale, the needs for cost reduction, productivity improvement, and reducing of work terms have rapidly increased in recent years. There has been, accordingly, a great emphasis on the necessity of logistics and progress management by well-organized system developed based on the appliance of different management theories. Although highly developed IT technology has contributed to the efficiency and effectiveness in information research and project management, RFID has been merely applied to a single progress or a few types of materials in current management studies, not to the overall process of the projects. This research proposes a consistent and systemized approach for decision making in adopting RFID technology in a construction project to support construction logistics and progress management. With a decision making model that consists of process model and template developed in this research, risks in cost, time, and error in building RFID-based construction logistics and progress management could be minimized.

Enhancing Smart Grid Efficiency through SAC Reinforcement Learning: Renewable Energy Integration and Optimal Demand Response in the CityLearn Environment (SAC 강화 학습을 통한 스마트 그리드 효율성 향상: CityLearn 환경에서 재생 에너지 통합 및 최적 수요 반응)

  • Esanov Alibek Rustamovich;Seung Je Seong;Chang-Gyoon Lim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.1
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    • pp.93-104
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    • 2024
  • Demand response is a strategy that encourages customers to adjust their consumption patterns at times of peak demand with the aim to improve the reliability of the power grid and minimize expenses. The integration of renewable energy sources into smart grids poses significant challenges due to their intermittent and unpredictable nature. Demand response strategies, coupled with reinforcement learning techniques, have emerged as promising approaches to address these challenges and optimize grid operations where traditional methods fail to meet such kind of complex requirements. This research focuses on investigating the application of reinforcement learning algorithms in demand response for renewable energy integration. The objectives include optimizing demand-side flexibility, improving renewable energy utilization, and enhancing grid stability. The results emphasize the effectiveness of demand response strategies based on reinforcement learning in enhancing grid flexibility and facilitating the integration of renewable energy.

The Multi Knowledge-based Image Retrieval Technology for An Automobile Head Lamp Retrieval (자동차 전조등 검색을 위한 다중지식기반의 영상검색 기법)

  • 이병일;손병환;홍성욱;손성건;최흥국
    • Journal of the Institute of Convergence Signal Processing
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    • v.3 no.3
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    • pp.27-35
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    • 2002
  • A knowledge-based image retrieval technique is image searching methods using some features from the queried image. The materials in this study are automobile head lamps. The input data is composed of characters and images which have various pattern. The numbers, special symbols, and general letters are under the category of the character. The image informations are made up of the distribution of pixel data, statistical analysis, and state of pattern which are useful for the knowledge data. In this paper, we implemented a retrieval system for the scientific crime detection at traffic accident using the proposed multi knowledge-based image retrieval technique. The values for the multi knowledge-based image features were extracted from color and gray scale each. With this 22 features, we improved the retrieval efficiency about the color information and pattern information. Visual basic, crystal report and MS access DB were used for this application. We anticipate the efficient scientific detection for the traffic accident and the tracking of suspicious vehicle.

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Case Study for the Improvement of Tunnel Advance Rate & the Time Reduction of Working Process in Long Hole Blasting About Tunnel Excavation (터널 장공발파에서 굴진율 개선 및 작업공정 시간 단축 사례)

  • Kim, Hee-Do;Lee, Jun-Won;Lee, Ha-Young
    • Explosives and Blasting
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    • v.31 no.2
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    • pp.32-39
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    • 2013
  • Generally, The way of long hole blasting is carried out in coal-face, basic excavation for dam, mine etc. Recently, this long hole blasting has been implemented in civil engineering for efficiency & economic feasibility. National express no.600 of Pusan outer high-express ${\bigcirc}$ construction site with four lanes of the length of 8km was also a site applied by long hole blasting. But After blasting, tunnel advance rate is less than 75%. As a result of that, Follow-up working time is influenced. Thereby, The total of working process is significantly so increased that planned excavation cannot be implemented many times. For not only improve excavation rate but reduce working process time in job site, we introduce blasting case which apply the ${\phi}36mm$ explosive suited for high desity of charging among long hole blasting in order to overcome mentioned problem.