• International conference on construction engineering and project management
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• 2013.01a
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• pp.158-162
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• 2013

Building envelope systems with growing complexity in geometry and performance criteria demand adapted workflow processes toward the efficient integration of their design and fabrication. To facilitate integration of the workflow process, this study analyzes relationships among teams who share digital models and exchange information that help project participants identify areas of improvement in task allocation and exchanges among various actors, systems, and activities. In addition, major gaps identified in knowledge transfer, project tracking, and design integration during the performance evaluation stages, emphasize the need for a more comprehensive approach to integrating the design, the fabrication, and the construction parameters of building envelope systems. To evaluate the effectiveness of streamlining interactions of design parameters with fabrication constraints and constructability assessments, this paper examines a mechanical design approach as it applies to various project scenarios to develop a mechanical solution for streamlining building envelope design and construction workflow.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.173-180
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• 2013

To analyze building energy consumption, the building description for building energy performance analysis (BEPA) is required. The required data input for subject building is a basic step in the BEPA process. Since building information modeling (BIM) is applied in the construction industry, the required data for BEPA can be gathered from a single international standard file format like IFCXML. However, in most BEPA processes, since the required data cannot be fully used from the IFCXML file, a building description for BEPA must be created again. This paper proposes IFCXML-based automatic data input approach for BEA. After the required data for BEPA has been defined, automatic data input for BEPA is developed by a prototype system. To evaluate the proposed system, a common BIM file from the BuildingSMART website is applied as a sample model. This system can increase the efficiency and reliability of the BEPA process, since the data input is automatically and efficiently improved by directly using the IFCXML file.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1491-1495
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• 2004

For the evaluation of the mobile robot performance in complex environments, the experimental approach in an actual physical environment has been commonly taken. In the physical experimental approach, however, it is quite difficult to define the proper environment for the evaluation due to the lack of commonly agreed characteristics of the test environment. Particularly the number of combinations of types and physical parameters of the obstacles that the mobile robot is expected to deal with is practically unlimited. In an effort to simplify and improve the effectiveness of the evaluation process, we propose an evaluation method using decomposed environmental elements, where we evaluated the performance of the robot for a small group of simple and decomposed obstacle components, for examples projection and slope, instead of a large group of complicated random obstacles. The paper describes a set of simple obstacle models and performance parameters that we have chosen for the effective evaluation process. As an alternative to the physical experimental evaluation approach, in this paper, we used a virtual evaluation environment where the robot and the physical test environment has been modeled using a commercial multi-body dynamics analysis packaged called RecurDyn.

• Steel and Composite Structures
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• v.20 no.5
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• pp.1133-1153
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• 2016

In this article, an additive performance ratio method using structural analysis of both 2D and 3D is introduced to mitigate the complexity of work evaluating structural performances of numerous steel outrigger alternatives in multi-story buildings, especially high-rise buildings. The combined structural analysis process enables to be the design of economic, safe, and as constructional demanding structures by exploiting the advantages of steel, namely: excellent energy dissipation and ductility. First the approach decides the alternative of numerous steel outriggers by a simple 2D analysis module and then the alternative is evaluated by 3D analysis module. Initial structural analyses of outrigger types are carried out through MIDAS Gen 2D modeling, approximately, and then the results appeal structural performance and lead to decide some alternative of outrigger types. ETABS 3D modeling is used with respect to realization and evaluation of exact structural behaviors. The approach reduces computational burden in compared to existing concepts such as full 3D analysis methods. The combined 2D and 3D tools are verified by cycle and displacement tests including comprehensive nonlinear dynamic simulations. The advantages and limitations of the Additive Performance Ratio Approach are highlighted in a case study on a high rise steel-composite building, which targets at designing the optimized alternative to the existing original outrigger for lateral load resisting system.

• Journal of the Korean Solar Energy Society
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• v.28 no.4
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• pp.68-75
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• 2008

The purpose of this research is revise the value yield to compensate of measure the difference between computer simulation and the measurement value on the two methods which can calculates thermal performance. The way is need to understand about thermal performance, air tightness, simulations and comparisons of analysis to influence the value of each identified. The opening type of the windows and doors to be used at the analysis are T/T, L/S and SL Different condition of the windows and doors excluded except the opening type. Each of the four samples was selected by the way of opening. Result of the analysis of the difference between measurement and simulation are that T/T approach 5.3%, L/S approach 15.7%, SL approach 21% and the more air-tightness guarantees less difference of the numerical value. Each compensation value calculates by the correlation regression analysis and the air-tightness data. After the compensation of the resulting difference in T/T, L/S, SL indicate 5.4%, 2.5%, 1.0% respectively.

• Korean Journal of Agricultural Science
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• v.45 no.4
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• pp.859-870
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• 2018

Dried red peppers are a staple agricultural product used in Korean cuisine and as such, are an important aspect of agricultural producers' income. Correctly forecasting both their supply and demand situations and price is very important in terms of the producers' income and consumer price stability. The primary objective of this study was to compare the performance of time series forecasting models for dried red peppers in Korea. In this study, three models (an autoregressive model with exogenous variables [ARX], AR-exponential generalized autoregressive conditional heteroscedasticity [EGARCH], and ARX-EGARCH) are presented for forecasting the wholesale price of dried red peppers. As a result of the analysis, it was shown that the ARX model and ARX-EGARCH model, each of which adopt both the rolling window and the adding approach and use the agricultural cooperatives price as the exogenous variable, showed a better forecasting performance compared to the autoregressive model (AR)-EGARCH model. Based on the estimation methods and results, there was no significant difference in the accuracy of the estimation between the rolling window and adding approach. In the case of dried red peppers, there is limitation in building the price forecasting models with a market-structured approach. In this regard, estimating a forecasting model using only price data and identifying the forecast performance can be expected to complement the current pricing forecast model which relies on market shipments.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.157-169
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• 2022

Job love is an emerging phenomenon, which is the utmost approach to fulfilling employees' and organizations' mutual interests, especially performance. The current study aims to define and extend the existing proposed construct of "loving one's job" as job love. It provides a novel theoretical multi-level framework of job love, contextual factors, and performance principled on the attraction-selection-attrition framework and social exchange theory through an integrated approach. This study collected cross-sectional data through a questionnaire from 332 nurses across eight tertiary hospitals in Khyber Pakhtunkhwa, Pakistan. The findings are based on the structural equation modeling technique (SEM) at multi-levels. The results show significant relationships between job love, contextual factors, and performance at the individual and organization levels. There are some insignificant relationships between the variables at the cross-level. Job love plays a key role for both employees and organizations. It facilitates the individuals in the recruitment process to select the job they love, be a good fit, and stay committed to that particular job and organization. This phenomenon allows people to pursue their common interests. Job love assists firms in developing human resource capacity utilization plans that satisfy the needed requirements.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.523-534
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• 2020

The research objective was to find out how Total Quality Management (TQM) mediates antecedents of employee performance variables? The research was conducted with a quantitative approach while the research design was cross sectional. The research model was tested using the structural equation modeling approach with partial least square analysis tools to test the influence among research variables. The research sample consisted of 315 respondents who answered a questionnaire in August-September 2019 at manufacturing companies in East Java. The results showed that situational leadership did not affect employee performance, but did affect the successful implementation of TQM. The performance measurement system has no direct effect on employee performance. The performance measurement system has a direct effect on employee performance. Organizational culture has a direct effect on both employee performance and the application of TQM, so that the application of TQM can improve employee performance. TQM implementation variable acts as a mediation between situational leadership and organizational culture on employee performance. The relationship that was originally a direct influence turned into an indirect effect through TQM. The TQM variable is not proven to be an intervening variable between the performance measurement system and employee performance. There is a direct relationship between these two variables.

• Proceedings of the SAREK Conference
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• 2009.06a
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• pp.102-107
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• 2009

Window system is an essential component for lighting, ventilation and thermal environment in buildings. Moreover, as balcony extension in apartment houses become legalized, the performance requirements of window systems in balcony space are getting complicated. However, at this moment, five properties of the windows are used to represent the performance aspects of the system, including wind resistance, air tightness, water tightness, sound insulation, thermal resistance. And such single properties are not capable to express the performance of a space with the window systems in terms of performance concept. A performance analysis with wholistic approach is required to see the effect of the window system in built environment. Thus, performance-based approach should be established, which will be able to evaluate the goal/function and comfort of occupants/owners. As the first step to develop the performance indicator for the window systme for balcony space, this study conducts a survey to find the required performance aspects. A complete set of performance-based indicators will be developed with verification methods in the later stage of research.

• Journal of Computing Science and Engineering
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• v.6 no.4
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• pp.294-309
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• 2012

In the age of multi-core and specialized accelerators in high performance computing (HPC) systems, it is critical to understand application characteristics and apply suitable optimizations in order to fully utilize advanced computing system. Often time, the process involves multiple stages of application performance diagnosis and a trial-and-error type of approach for optimization. In this study, a general guideline of performance optimization has been demonstrated with two class-representing applications. The main focuses are on node-level optimization and inter-node scalability improvement. While the number of optimization case studies is somewhat limited in this paper, the result provides insights into the systematic approach in HPC applications performance engineering.