• Title/Summary/Keyword: Model Improvement

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CONCEPTUAL MODEL OF RFID APPLICATION IN PREFABRICATION INSTALLATION PROCESS

  • V. Peansupap;T. Tongthong;B. Hasiholan
    • International conference on construction engineering and project management
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    • 2007.03a
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    • pp.279-288
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    • 2007
  • Attempts to achieve a higher productivity have led studies to focus on process improvement. Information has been found as an essential element for process improvement. This research has introduced and focused on two types of information, namely: related jobsite information along the process and feedback information. Related jobsite information along the process which needs to be processed and delivered in a timely manner, accurate, and real time is required to streamline the decision making process. Whereas feedback information about process' current practices which have to be captured and stored is a useful for continuous improvement in identifying the problem origin and determining corrective action. In the current practices, although these two types of information are essential for process improvement, construction process has faced barriers in obtaining that information. Therefore, this research will propose a new information system to overcome the aforementioned barriers. The new information system consists of RFID as an automatic identification and data collection device integrated with database to support construction processes. The new system attempts to provide related jobsite information along the process and feedback information to support decision making process and continuous process improvement respectively. A case study of prefabrication installation process in housing projects has been selected to be implemented in conceptual model of RFID application in construction industry. Conceptual model will be presented in this paper as an initial stage of this ongoing research. Expected outcomes of the new system and future works will be discussed briefly.

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Framework of Watershed Management Organization Consortium for Water Environment Improvement of Small Rural Watershed (농촌 소유역 수환경 개선을 위한 유역관리 협의체 구성방안 - 함평천 사례를 중심으로 -)

  • Lee, Ki-Wan;Kim, Young-Joo;Yoon, Kwang-Sik
    • Journal of Korean Society of Rural Planning
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    • v.11 no.4 s.29
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    • pp.59-65
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    • 2005
  • Proper management of small rural watershed is important since it does affect water quality improvement of larger scale watershed. Therefore, effective small watershed management guideline including participatory program of local people is required to achieve water environment improvement. Feasibility of water quality goal, short and long-term watershed management plan and funding sources were investigated by field monitoring of Hampyungchun watershed which has characteristics of rural stream, and literature review. The relevant parties and their roles fer watershed management were identified and suggested. A hybrid model, that is mixture of government driven model and NGO model, is recommended for watershed management organization in this study.

Study on the Development Model and Improvement of Social Function of Social Games (소셜게임의 사회적 기능 향상에 관한 개발 모델 제안)

  • Kim, Tae-Gyu
    • Journal of Digital Convergence
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    • v.13 no.1
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    • pp.449-454
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    • 2015
  • This study is done to analyze the social function of social games, propose a development model, and demonstrate predisposing factors and consequences on the model. Therefore, the predisposing variables on social functions of social games are explored through related theory and previous studies to propose the social function developing model of social games. Social function model of social games are classified in detail in terms of emotional ties, open communication, sense of belonging to a community and interaction to derive a measure for social function improvement, to prove social function improvement elements through various social network services and social game theories and to propose a social game development model.

An Empirical Analysis on Member Fisheries Cooperatives' Self-efforts for Managerial Improvement (일선수협의 경영개선 자구노력 평가에 관한 실증분석)

  • Ryu, Deock-Hyun;Yang, Keun-Won
    • The Journal of Fisheries Business Administration
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    • v.41 no.2
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    • pp.1-23
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    • 2010
  • This study is to evaluate member fisheries cooperatives' self-effort for managerial improvement qualitatively and quantitatively. The impaired member cooperatives' got grant from National Federations of Fisheries Cooperatives for managerial improvement for 2003~2004 with establishment of MOU. This MOU describes a self-effort of memebr cooperatives' required fulfillment items for managerial improvement. From the various level of analyses, we conclude that per capita total return or ROA has direct and positive effect on the improvement of net capital ratio or profit ratio. However, other MOU items like human resource management or an investment increment did not have a correlation with it. In addition, an aggregate financial indicator, such as ROA, seems to have a positive effect on the improvement of net capital ratio or profit ratio for the group of well restructured member cooperatives, but does not for the bad performance group. This is because the good performance has leads to the improvement of net capital ratio for the well-restructured member cooperatives since there is little chance to have additional weakness. From this study we can check the proper selection of MOU items should be based on the analysis of its effect on the managerial improvement.

Productivity effects of Hanwoo genetic improvement program

  • Jae Bong Chang;Sanghyen Chai
    • Korean Journal of Agricultural Science
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    • v.50 no.4
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    • pp.869-881
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    • 2023
  • A genetic improvement program in Korea was implemented to improve the performance of Hanwoo cattle by generating livestock with genetically desirable economic characteristics. In particular, in response to external changes, such as the expansion of Free Trade Agreement (FTA), the livestock genetic improvement program has increased farm income by improving the productivity and quality of Hanwoo cattle. Using production cost data from Statistics Korea, the total input and output indices of Hanwoo feeding cattle from 2008 - 2021 were estimated and the growth and productivity changes were analyzed. The productivity change measures results were used to estimate the cumulative effects of the Hanwoo genetic improvement program on quality improvement, another purpose of the program, using a finite distributed lag model. The average annual increase in output (market weight) of Hanwoo was 0.9%. However, total input increased by 1.6%, resulting in a 0.6% decline in total factor productivity. In contrast, the Hanwoo genetic improvement program contributed significantly to the production of high quality beef, rather than contributing to improved productivity of the cattle. Hanwoo carcass weight, which is used as a performance indicator for the livestock genetic improvement program, has significantly improved and is projected to increase at a slower rate. The collective findings indicate the need for new performance indicators that can comprehensively indicate the performance of the genetic improvement of Hanwoo.

Performance Improvement of SCAM Climate Model using PGI Compiler with OpenACC (SCAM 기상모델의 성능향상을 위한 PGI Compiler의 OpenACC 활용)

  • Lee, Chang-Hyun;Kang, Bol-Kyung;Chung, Sung-Wook
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.3
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    • pp.189-197
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    • 2022
  • With the development of high-performance computing technology and the advancement of numerical model, it is possible to predict the better weather forecasting. The purpose of this paper is the performance improvement for the SCAM climate model for the model running time excluding the compilation time. Therefore, the model previously performed using the Intel Fortran Compiler was changed to PGI Fortran Compiler. To this end, we reconfigure system environment variables, reset compilation options, install dependencies SW and library, and modify source code. In addition, we proposed and applied the 'PGI Compile with OpenACC' method. As a result, when the compiler was changed from intel to PGI, it led to an improvement of 6.08% in running time and when the openACC method was applied, it led to an improvement of 43.05% in running time. This demonstrates that the PGI Compile with OpenACC method proposed in this paper leads to excellent performance.

Estimation of Diameter and Height Growth Equations Using Environmental Variables (환경인자를 이용한 직경 및 수고생장 모형 추정)

  • Lee, Sang-Hyun
    • Journal of Korean Society of Forest Science
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    • v.98 no.3
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    • pp.351-356
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    • 2009
  • This study purposed to judge potential possibility of building highly precise empirical model using environmental variables. Environmental variables such as altitude, mean annual rainfall, mean annual temperature and organic matter ratio of soil were added to height and diameter model for Chamaecyparis obtusa, and examined accuracy and residuals of prediction model. Improvement in precision was found for the Gompertz polymorphic height model by including mean temperature and altitude as independent variables, while the Gompertz diameter model with annual rainfall and altitude was showed improvement of precision and accuracy. Comparing the improvement of precision between the model before adding environmental variables and the model after adding them, an improvement or some ratio was obtained though it is not obvious. Therefore, there is enough proof that adding environmental variables, which can be easily acquired relatively when considering the difficulties of measurement and budget, into the model as independent variables would improve the accuracy and precision of growth models.

Dynamic Analysis of an Immersed Tunnel using an Effective Stress Model (유효응력모델을 이용한 침매터널의 동적거동 해석)

  • Park, Sung-Sik;Moon, Hong-Duk
    • Proceedings of the Korean Geotechical Society Conference
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    • 2008.03a
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    • pp.51-58
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    • 2008
  • The George Massey immersed tunnel passes the Fraser River near Vancouver, Western Canada. In this paper, dynamic analysis of the tunnel on sandy soils was performed using an effective stress constitutive model called UBCSAND. This model is able to calculate pore pressure rise and resulting tunnel deformation due to cyclic loading. Centrifuge tests conducted at RPI are used to verify the model performance. Centrifuge tests consist of 3 models: Model 1 is designed for an original ground condition, Model 2 for a ground improvement by compaction method, Model 3 for a ground improvement by gravel drainage. The results of centrifuge Model 1 are presented and compared with predictions of UBCSAND model. This model well captured the results of centrifuge test and therefore can be used to predict dynamic behavior of similar tunnels or underground structures on sandy soils.

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Influence of Compressibility Modification to k-ε Turbulence Models for Supersonic Base Flow

  • Jeon, Sang-Eon;Park, Soo-Hyung;Byun, Yung-Hwan;Kwon, Jang-Hyuk
    • International Journal of Aeronautical and Space Sciences
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    • v.13 no.2
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    • pp.188-198
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    • 2012
  • An improvement to the k-${\varepsilon}$ turbulence model is presented and is shown to lead to better agreement with data regarding supersonic base flows. The improvement was achieved by imposing a grid-independent realizability constraint in the Launder-Sharma k-${\varepsilon}$ model. The effects of compressibility were also examined. The numerical results show that the modified Launder-Sharma model leads to some improvement in the prediction of the velocity and turbulent kinetic energy profiles. Compressibility corrections also lead to better agreement in both the turbulent kinetic energy and the Reynolds stress profiles with the experimental data.

Improvement of Face Recognition Rate by Preprocessing Based on Elliptical Model (타원 모델기반의 전처리 기법에 의한 얼굴 인식률 개선)

  • Won, Chul-Ho
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.4
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    • pp.56-63
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    • 2008
  • Image calibration at preprocessing step is very important for face recognition rate improvement, and background noise deletion affects accuracy of face recognition specially. In this paper, a method is proposed to remove background area utilizing elliptical model at preprocessing step for face recognition rate improvement. As human face has the shape of ellipse, a face contour can be easily detected by using the elliptical model in face images.

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