• 제목/요약/키워드: Engineering Economy

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SW산업의 지역동반 성장을 위한 제안에 관한 연구 (A Study on Suggestions for Progress of SW Industry in company with Regional Economy)

  • 김동민;장정환;이두용;장청윤;조용철;김정환;이창호
    • 대한안전경영과학회지
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    • 제14권4호
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    • pp.303-311
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    • 2012
  • Recently SW is the key industry which leads the HW industry and service industry, but market size of SW is only 0.9% of GDP. It is necessary systematic and strategic support to create new SW market through SW convergence and to secure the global competitiveness. This paper deals with some strategic suggestions for progress of SW industry in company with regional economy. We survey and analyze the many SW support projects by government and take professional advice from some specialists of regional information industry promotion agency. We draw 10 strategic suggestions for support of SW industry. Also we analyze the relative importance of 10 strategic suggestions by AHP analysis.

Rare earths from secondary sources: profitability study

  • Innocenzi, Valentina;De Michelis, Ida;Ferella, Francesco;Veglio, Francesco
    • Advances in environmental research
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    • 제5권2호
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    • pp.125-140
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    • 2016
  • The paper is focused on the economic analysis of two hydrometallurgical processes for recovery of yttrium and other rare earth elements (REEs) from fluorescent phosphors of spent lamps. The first process includes leaching with sulphuric acid and precipitation of a mixture of oxalates by oxalic acid, the second one includes leaching with sulphuric acid, solvent extraction with D2EHPA, stripping by acid and recovery of yttrium and traces of other rare earths (REs) by precipitation with oxalic acid. In both cases the REEs were recovered as oxides by calcination of the oxalate salts. The economic analysis was estimated considering the real capacity of the HydroWEEE mobile's plant ($420kg\;batch^{-1}$). For the first flow-sheet the cost of recycling comes to $4.0{\euro}kg^{-1}$, while the revenue from the end-product is around $5.40{\euro}kg^{-1}$. The second process is not profitable, as well as the first one, taking into account the composition of the final oxides: the cost of recycling comes to $5.2{\euro}kg^{-1}$, while the revenue from the end-product is around $3.56{\euro}kg^{-1}$. The process becomes profitable if the final RE oxide mixture is sold for nearly $50{\euro}kg^{-1}$, a value rather far from the current market prices but not so unlikely since could be achieved in the incoming years, considering the significant fluctuations of the Res' market.

산업공학 전공 교과목 강의를 위한 파이썬 프로그래밍 활용: 경제성공학 교육 사례 연구 (Using Python Programming Language for Teaching Industrial Engineering Subjects: A Case Study on Engineering Economy)

  • 조용규
    • 실천공학교육논문지
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    • 제14권2호
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    • pp.245-258
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    • 2022
  • 본 논문에서는 산업공학의 전통적인 전공 교과목을 강의할 때 현 시점 산업계 및 학계에서 가장 활용도가 높은 프로그래밍 언어인 파이썬 언어를 분석 도구로 활용하는 것을 제안한다. 사례 연구로서 공학 프로젝트의 경제성을 분석할 수 있는 역량을 길러주는 전공 교과목인 경제성공학을 채택하였으며, 파이썬에서 다양한 재무함수를 구현한 라이브러리인 numpy-financial를 포함하여 간단한 연산 및 수치 해석을 위한 numpy와 scipy, 시각화를 위한 matplotlib 라이브러리를 주로 활용하였다. 익명의 수강생들을 대상으로 강의의 만족도를 조사한 결과 본 논문에서 제안하는 교육 방식이 교육 만족도와 강의 전달력 측면에서 우수한 성과를 보였고, 경제성공학 뿐 아니라 다른 전통적인 산업공학 과목에 대해서도 전공 학생들의 추가적인 수요가 있음을 확인할 수 있었다.

Hydrothermal Synthesis of Fe Based MOFs with Energy Economy Approach

  • Israr, Farrukh;Kim, Duk Kyung;Kim, Yeongmin;Oh, Seung Jin;Ng, Kim Choon;Chun, Wongee
    • 에너지공학
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    • 제24권2호
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    • pp.55-58
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    • 2015
  • The mesoporous metal organic framework structure Fe-BTC was successfully synthesized by hydrothermal process with noticeable yield. The synthesis operation was conducted at intermediate temperature and for shortened operation time as compared to conventional procedures. This process approach with reduced operating temperature and shortened operation time may open an opportunity window towards process economy with reduction in energy consumption. A simple mathematical approach of diffraction indexing using X-ray diffraction patterns of synthesized powder was employed to confirm its crystalline nature and to investigate its high temperature stability. The crystallite size was calculated by using Debye-Scherrer equation.

Lessons from Korean Innovation Model for ASEAN Countries Towards a Knowledge Economy

  • Ocon, Joey D.;Phihusut, Doungkamon;del Rosario, Julie Anne D.;Tuan, Trinh Ngoc;Lee, Jaeyoung
    • STI Policy Review
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    • 제4권2호
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    • pp.19-40
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    • 2013
  • The Association of Southeast Asian Nations (ASEAN) achieved relatively rapid economic growth over the past decade. Sustainable growth among member states, however, is put into question due to macroeconomic challenges, political risk, and vulnerability to external shocks. Developed countries, in contrast, have turned into less labor-intensive technologies to further expand their economies. In this paper, we review the science, technology, and innovation (STI) policies and statuses of the scientific and technological capabilities of the ASEAN member countries. Empirical results based on STI indicators (R&D spending, publications, patents, and knowledge economy indices) reveal considerable variation between the science and technology (S&T) competence and effectiveness of STI policies of ASEAN members. We have categorized nations into clusters according their situations in their S&T productivity. Under the Korean Innovation Model, Cambodia, Laos, Myanmar, and Brunei are classified as being in the institutional-building stage, while Malaysia, Thailand, Indonesia, the Philippines, and Vietnam in the catch up stage, and Singapore in the post-catch up stage. Finally, policy prescriptions on how to enhance the S&T capabilities of the developing ASEAN countries, based on the South Korea development experience, are presented.

Camera Source Identification of Digital Images Based on Sample Selection

  • Wang, Zhihui;Wang, Hong;Li, Haojie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권7호
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    • pp.3268-3283
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    • 2018
  • With the advent of the Information Age, the source identification of digital images, as a part of digital image forensics, has attracted increasing attention. Therefore, an effective technique to identify the source of digital images is urgently needed at this stage. In this paper, first, we study and implement some previous work on image source identification based on sensor pattern noise, such as the Lukas method, principal component analysis method and the random subspace method. Second, to extract a purer sensor pattern noise, we propose a sample selection method to improve the random subspace method. By analyzing the image texture feature, we select a patch with less complexity to extract more reliable sensor pattern noise, which improves the accuracy of identification. Finally, experiment results reveal that the proposed sample selection method can extract a purer sensor pattern noise, which further improves the accuracy of image source identification. At the same time, this approach is less complicated than the deep learning models and is close to the most advanced performance.

시험모드 특성이 전기자동차의 에너지소비효율에 미치는 영향 연구 (The impact study on fuel economy of electric vehicle according to the test mode characteristics)

  • 노경하;임재혁;김성우;김기호;하종한;오상기
    • 동력기계공학회지
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    • 제19권6호
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    • pp.39-46
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    • 2015
  • With rising fuel costs and the depletion of fossil fuels, electric vehicles of high efficiency has been increasing interest. although high-performance battery continually is developing, Electric vehicles is not satisfied with the characteristics of the environment. In this study, By using the current fuel economy testing methods(5-cycle test), until the fully discharged battery electric vehicles is evaluated for a variety of environmental and operating conditions. As a result, Electric vehicles showed a low energy consumption efficiency in low temperature and rapid acceleration, deceleration in the operating environment compared with normal temperature.

이종소재 접합을 이용한 차량 F-Apron 최적설계에 관한 연구 (Study on Optimal Design of F-Apron of Vehicles by Multi-material Bonding)

  • 정윤수;이경일;김재열
    • 한국기계가공학회지
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    • 제18권2호
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    • pp.102-107
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    • 2019
  • The vehicle market has developed environment-friendly vehicles to comply with fuel economy regulations and exhaust regulations that have become stricter and stricter over time. Many studies have been conducted to improve the travel performance and fuel economy of environment-friendly vehicles, and vehicle manufacturers have been studying how to manufacture light-weight vehicles in order to improve the fuel economy of both existing vehicles and the newer environment-friendly vehicles. Exemplary light-weight vehicle technologies optimizes the design of the vehicle body structure, which is a vehicle weight-reducing method that modifies component shapes or layouts to optimize the structure of the vehicle. In addition, the new process technology uses new light-weight and very strong materials, and not typical materials, to manufacture light-weight vehicles. This study aims at the optimal design of vehicle body structures using multi-materials for the Fender-Apron, which is an important frame member for the external front side of a vehicle body, by conducting FEA (Finite Element Analysis) and multi-material bonding.

OPERATION ALGORITHMS FOR A FUEL CELL HYBRID ELECTRIC VEHICLE

  • PARK C.;KOOK K.;OH K.;KIM D.;KIM H.
    • International Journal of Automotive Technology
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    • 제6권4호
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    • pp.429-436
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    • 2005
  • In this paper, operation algorithms are evaluated for a fuel cell hybrid electric vehicle (FCHEV). Power assist, load leveling and equivalent fuel algorithm are proposed and implemented in the FCHEV performance simulator. It is found from the simulation results that the load leveling algorithm shows poor fuel economy due to the system charge and discharge efficiency. In the power assist and equivalent fuel algorithm, the fuel cell stack is operated in a relatively better efficiency region owing to the battery power assist, which provides the improved fuel economy.