• Title/Summary/Keyword: global performance analysis

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Hydraulic conductivity of cemented sand from experiments and 3D Image based numerical analysis

  • Subramanian, Sathya;Zhang, Yi;Vinoth, Ganapathiraman;Moon, Juhyuk;Ku, Taeseo
    • Geomechanics and Engineering
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    • v.21 no.5
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    • pp.423-432
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    • 2020
  • Hydraulic conductivity is one of the engineering properties of soil. This study focusses on the influence of cement content on the hydraulic conductivity of cemented sand, which is investigated based on the results from numerical analysis and laboratory testing. For numerical analysis the cemented samples were scanned using X-ray Computed Tomography (CT) while laboratory testing was carried out using a triaxial setup. Numerical analysis enables us to simulate flow through the sample and provides insight to the microstructure. It quantifies the pore volume, proportion of interconnected voids and pore size distribution in both cemented and uncemented samples, which could be computed only through empirical equations in case of laboratory testing. With reduction in global voids, the interconnecting voids within the samples also reduce with cement content. Gamma cumulative distribution function is used to predict the percentage of voids lesser than a given pore volume. Finally, the results obtained from both numerical analysis and laboratory testing are compared.

Study for Improvement of Domestic System through Regulation based on Comparison of Green Building Certification System Analysis - Focused on the G-SEED, BREEAM

  • Hyun, Eun-Mi;Kim, Yong-Sik
    • KIEAE Journal
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    • v.15 no.1
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    • pp.13-20
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    • 2015
  • The main purpose of the green buildings by reducing energy consumption and carbon footprint of the building society, global as to ensure the sustainability of the building and the environment. These regulations and schemes are used to activate the green buildings were made on the basis of the relevant laws and regulations. Mainly in the research for the improvement of the domestic institutional assessment items, the analysis of the legislation was fundamentally focused on Scoring the incomplete state. The analysis based on the laws and regulations of the institution is the way to know the purpose and direction of the respective certification. This study was performed in the following order to target the new commercial buildings. First, the analysis of the geungeobeop G-SEED and BREEAM. Second, we analyze the content and method of building energy performance in the certification system. As a result, Green Building Act is broad in relation to the composition of the contents are building for the activation energy green building and EPI is dealt with in an abstract and presented the applicability of such documentary content of insulation and airtightness, efficient machine. In contrast, the UK has been directly limit the carbon footprint of buildings in the Building Regulations Part L and evaluate them in BREEAM. This analysis of the ways to reduce substantially the energy for domestic green building regulations should be addressed through the feed.

Statistical Analysis and Prediction for Behaviors of Tracked Vehicle Traveling on Soft Soil Using Response Surface Methodology (반응표면법에 의한 연약지반 차량 거동의 통계적 분석 및 예측)

  • Lee Tae-Hee;Jung Jae-Jun;Hong Sup;Km Hyung-Woo;Choi Jong-Su
    • Journal of Ocean Engineering and Technology
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    • v.20 no.3 s.70
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    • pp.54-60
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    • 2006
  • For optimal design of a deep-sea ocean mining collector system, based on self-propelled mining vehicle, it is imperative to develop and validate the dynamic model of a tracked vehicle traveling on soft deep seabed. The purpose of this paper is to evaluate the fidelity of the dynamic simulation model by means of response surface methodology. Various statistical techniques related to response surface methodology, such as outlier analysis, detection of interaction effect, analysis of variance, inference of the significance of design variables, and global sensitivity analysis, are examined. To obtain a plausible response surface model, maximum entropy sampling is adopted. From statistical analysis and prediction for dynamic responses of the tracked vehicle, conclusions will be drawn about the accuracy of the dynamic model and the performance of the response surface model.

Development of Mission Analysis Tool for eVTOL Aircrafts of Lift-Tilt Concept (Lift-Tilt 개념의 eVTOL 항공기 임무 분석 도구 개발)

  • Paek, Seung-Kil;Chae, Sanghyun;Kang, Hee Jung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.10
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    • pp.859-870
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    • 2021
  • KARI (Korea Aerospace Research Institute) is developing a design framework for the concept and preliminary design of eVTOL aircrafts. A low fidelity mission analysis tool was developed for the eVTOL aircrafts of Lift-Tilt Concept, which have tilt propellers and lift propellers, using open source SUAVE package. For its development, a review for the propeller performance analysis functionality was made. To find the trim solution at each mission segment automatically, an algorithm is implemented, using a global optimization technique through parallel processings and DOE(design of experiment). Using the tool, the one seated eVTOL OPPAV(optionally piloted personal air vehicle) was modeled and evaluated, which results were compared with the preliminary design data.

Assessment of Competitiveness Improvement on Multinational Enterprises based in Korea

  • Kim, Jae-Kyung;Kim, Jun-Hyun;Lee, Bong-Soo
    • Journal of Korea Trade
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    • v.23 no.7
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    • pp.64-82
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    • 2019
  • Purpose - This study's the ultimate goal is to analyze competitiveness improvement on multinational enterprises as firstly providing which factors are to strengthen or weaken competitiveness, secondly investigating if hypotheses development and research design is correct and thirdly finding significant implications for research and practices across country specific advantage. Design/methodology - Using feedback data provided by 250 firms, we extracted variable factors and hypotheses, which were empirically carried out by reliability and validity testing, correlation analysis, path analysis, and confirmatory factor analysis to prove which factors are to make the positive effect on the improvement of overseas subsidiaries' management performance and competitiveness. Findings - Through proceeding empirical analysis study, we found out that technology management capability, knowledge management capability, and local management capability had a statistically significant effect on the improvement of overseas subsidiaries' competitiveness, while linked activity capability revealed a negative effect. Originality/value - During business globalization, overseas investments and establishment of overseas subsidiaries have been essential. It is anticipated that this study results would be meaningful for analysis on multinational enterprises' competitiveness and helpful in promoting their entry into Korean market and enhancing their competitiveness. This paper would also help Korea government develops new FDI model and induce more investment from global major companies to Korea region.

A Empirical Study on Determinants Affecting the Participation and Performance of Small and Medium-Size Enterprises in Global Electronic Commerce (해외직구·역직구시장에서 중소기업의 참여와 성과에 영향을 미치는 결정요인에 관한 실증연구)

  • Kim, Chang Bong;Min, Cheol Hong;Park, Sang An
    • International Commerce and Information Review
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    • v.18 no.4
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    • pp.3-29
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    • 2016
  • Recently, the market size of the global electronic-commerce is rapidly growing. The global market size of an overseas direct-purchase is expected to reach 1 trillion won by 2020. This study intends to determine the decision making factors of B2B overseas direct-purchase(DP) and reverse direct-purchase(RDP), and the impact on the vitalization of the small to middle-sized companies'(SMC) overseas DP and RDP. Ultimately, the purpose of this study is to provide a policy insight on the expansion of exports by SMC. For this, we determined the necessary elements for getting good results by Korean SCM in the overseas DP and RDP market through a preceding research based on resource-based theory and industry structure theory. Afterwards, we used the multiple regression model for positive analysis of the survey documents. We were able to confirm through analysis that the company information, logistics delivery, customs process, law and regulations have positive effects on the overseas DP and RDP. This study surveyed the entire overseas DP market, rather than focusing on the cases of harm and responses of the overseas DP, which was the topic for the preceding research, and can be differentiated from the previous study by deducting influence factors for the Korean SMC to succeed in the overseas DP and RDP market. Moreover, the results of this study is meaningful in proposing a strategic direction for the SMC participating in the overseas DP market and the government enacting policies.

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Application of a Geographically Weighted Poisson Regression Analysis to Explore Spatial Varying Relationship Between Highly Pathogenic Avian Influenza Incidence and Associated Determinants (공간가중 포아송 회귀모형을 이용한 고병원성 조류인플루엔자 발생에 영향을 미치는 결정인자의 공간이질성 분석)

  • Choi, Sung-Hyun;Pak, Son-Il
    • Journal of Veterinary Clinics
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    • v.36 no.1
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    • pp.7-14
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    • 2019
  • In South Korea, six large outbreaks of highly pathogenic avian influenza (HPAI) have occurred since the first confirmation in 2003 from chickens. For the past 15 years, HPAI outbreaks have become an annual phenomenon throughout the country and has extended to wider regions, across rural and urban environments. An understanding of the spatial epidemiology of HPAI occurrence is essential in assessing and managing the risk of the infection; however, local spatial variations of relationship between HPAI incidences in Korea and related risk factors have rarely been derived. This study examined whether spatial heterogeneity exists in this relationship, using a geographically weighted Poisson regression (GWPR) model. The outcome variable was the number of HPAI-positive farms at 252 Si-Gun-Gu (administrative boundaries in Korea) level notified to government authority during the period from January 2014 to April 2016. This response variable was regressed to a set of sociodemographic and topographic predictors, including the number of wild birds infected with HPAI virus, the number of wintering birds and their species migrated into Korea, the movement frequency of vehicles carrying animals, the volume of manure treated per day, the number of livestock farms, and mean elevation. Both global and local modeling techniques were employed to fit the model. From 2014 to 2016, a total of 403 HPAI-positive farms were reported with high incidence especially in western coastal regions, ranging from 0 to 74. The results of this study show that local model (adjusted R-square = 0.801, AIC = 954.5) has great advantages over corresponding global model (adjusted R-square = 0.408, AIC = 2323.1) in terms of model fitting and performance. The relationship between HPAI incidence in Korea and seven predictors under consideration were significantly spatially non-stationary, contrary to assumptions in the global model. The comparison between global Poisson and GWPR results indicated that a place-specific spatial analysis not only fit the data better, but also provided insights into understanding the non-stationarity of the associations between the HPAI and associated determinants. We demonstrated that an empirically derived GWPR model has the potential to serve as a useful tool for assessing spatially varying characteristics of HPAI incidences for a given local area and predicting the risk area of HPAI occurrence. Considering the prominent burden of HPAI this study provides more insights into spatial targeting of enhanced surveillance and control strategies in high-risk regions against HPAI outbreaks.

A Study on Global Blockchain Economy Ecosystem Classification and Intelligent Stock Portfolio Performance Analysis (글로벌 블록체인 경제 생태계 분류와 지능형 주식 포트폴리오 성과 분석)

  • Kim, Honggon;Ryu, Jongha;Shin, Woosik;Kim, Hee-Woong
    • Journal of Intelligence and Information Systems
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    • v.28 no.3
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    • pp.209-235
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    • 2022
  • Starting from 2010, blockchain technology, along with the development of artificial intelligence, has been in the spotlight as the latest technology to lead the 4th industrial revolution. Furthermore, previous research regarding blockchain's technological applications has been ongoing ever since. However, few studies have been examined the standards for classifying the blockchain economic ecosystem from a capital market perspective. Our study is classified into a collection of interviews of software developers, entrepreneurs, market participants and experts who use blockchain technology to utilize the blockchain economic ecosystem from a capital market perspective for investing in stocks, and case study methodologies of blockchain economic ecosystem according to application fields of blockchain technology. Additionally, as a way that can be used in connection with equity investment in the capital market, the blockchain economic ecosystem classification methodology was established to form an investment universe consisting of global blue-chip stocks. It also helped construct an intelligent portfolio through quantitative and qualitative analysis that are based on quant and artificial intelligence strategies and evaluate its performances. Lastly, it presented a successful investment strategy according to the growth of blockchain economic ecosystem. This study not only classifies and analyzes blockchain standardization as a blockchain economic ecosystem from a capital market, rather than a technical, point of view, but also constructs a portfolio that targets global blue-chip stocks while also developing strategies to achieve superior performances. This study provides insights that are fused with global equity investment from the perspectives of investment theory and the economy. Therefore, it has practical implications that can contribute to the development of capital markets.

Implementation and Performance Evaluation of Parallel Programming Translator for High Performance Fortran (High Performance Fortran 병렬 프로그래밍 변환기의 구현 및 성능 평가)

  • Kim, Jung-Gwon;Hong, Man-Pyo;Kim, Dong-Gyu
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.4
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    • pp.901-915
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    • 1999
  • Parallel computers are known to be excellent in performance per cost also satisfying scalability and high performance. However parallel machines have enjoyed limited success because of difficulty in parallel programming and non-portability between parallel machines. Recently, researchers have sought to develop data parallel language that provides machine independent programming systems. Data parallel language such as High Performance Fortran provides a basis to write a parallel program based on a global name space by partitioning data and computation, generating message-passing function. In this paper, we describe the Parallel Programming Translator(PPTran), source-to-source data parallel compiler, generating MPI SPMD parallel program from HPF input program through four phases such as data dependence analysis, partitioning data, partitioning computation, and code generation with explicit message-passing and verify the performance of PPTran

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Comparative Analysis of Performance for DGPS and SBAS in Korea Region (국내 지역에서의 DGPS와 SBAS 성능 비교 분석)

  • Lim, Cheol-soon;Park, Byung-woon
    • Journal of Advanced Navigation Technology
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    • v.21 no.3
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    • pp.279-286
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    • 2017
  • The international maritime organization(IMO) has defined performance requirements for future maritime navigation through IMO resolution A.915(22) in 2001. Many DGPS systems currently providing DGPS services do not meet the performance requirements specified in IMO resolution A.915(22). The use of SBAS is considered as one of the DGPS replacement and supplementary system for coping with the increase in demand performance and providing safe positioning service. In particular, since a large amount of budget is required to rearrange the existing DGPS reference stations, a method which transmits differential corrections generated by using SBAS message has been proposed. In this paper, we compare and analyze the performance of NDGPS which is operated by the National Maritime PNT Office of the ministry of oceans and fisheries(MOF) in Korea and MSAS in Japan. Also, we verify that SBAS, as alternative and complementary system, meets the performance requirement specified in IMO resolution A.915(22).