• 제목/요약/키워드: Performance Model

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1 차원 Lumped 모델을 이용한 산업용 잉크젯 프린팅 헤드 토출 특성 해석 (Performance Analysis of the Industrial Inkjet Printing Head Using 1D Lumped Model)

  • 심원철;김영재;박창성;유영석;정재우;오용수;박성준
    • 한국정밀공학회지
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    • 제24권11호
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    • pp.101-107
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    • 2007
  • Jettability analysis using one-dimensional(1D) lumped parameter model has been investigated to design the industrial inkjet head with proper drop velocity and drop volume. By simplifying the inkjet head system into an equivalent electrical circuit, lumped model has been developed. Performance of the lumped model is verified by the comparison between measured results of droplet velocity and ejection volume and predicted value. Also, the jetting performance of an inkjet head is characterized by varying the design parameter and driving condition. As a result, simulation results shows good agreement with the experimentally measured value. The developed lumped model enables to easily understand the effect of dimension change and predict the jetting performance.

PERFORMANCE EVALUATION FOR CONSTRUCTION VALUE ENGINEERING STUDY

  • Wei Tong Chen;Hong-Long Chen;Po-Yi Chang;Tsang-Jung Wang
    • 국제학술발표논문집
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    • The 1th International Conference on Construction Engineering and Project Management
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    • pp.347-352
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    • 2005
  • This paper presents an evaluation model for the performance of Value Engineering Study (VES) for construction projects. The proposed model consists of 6 PEGs and 32 PEIs. The expertise of the proposed model was collected from VE experts in Taiwan using two-phase questionnaire survey. One real-life VES of construction projects was used to demonstrate how the proposed model works. The proposed model not only can be used by project owners to appraise the performance of VES team but also be used by the VES teams to conduct self-diagnosis, improvement, and motivation for achieving better performance. Additionally, the proposed model is capable of: (1) clarifying the defects of VES and avoiding committing same mistakes, (2) assisting inexperience team members to implement VES and catch the critical issues of a VES.

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차량 제동성능 개선을 위한 타이어 인자 분석 및 최적설계에 대한 연구 (A Study on Effect Analysis and Design Optimization of Tire and ABS Logic for Vehicle Braking Performance Improvement)

  • 기원용;이광우;허승진;강대오;김기운
    • 한국자동차공학회논문집
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    • 제24권5호
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    • pp.581-587
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    • 2016
  • Braking is a basic and an important safety feature for all vehicles, and the final braking performance of a vehicle is determined by the vehicle's ABS performance and tire performance. However, the combination of excellent ABS and tires will not always ensure good braking performance. This is due to the fact that tire performance has non-linearity and uncertainty in predicting the repeated increase and decrease of wheel slip when activating the ABS, thus increasing the uncertainty of tire performance prediction. Furthermore, existing studies predicted braking performance after using an ABS that used a wheel slip control as a controller, which was different from an actual vehicle's ABS that controlled angular acceleration, therefore causing a decrease in the prediction accuracy of the braking performance. This paper reverse-designed the ABS that controlled angular acceleration based on the information on brake pressure, etc., which were obtained from vehicle tests, and established a braking performance prediction analysis model by combining a multi-body dynamics(MBD) vehicle model and a magic formula(MF) tire model. The established analysis model was verified after comparing it with the results of the braking tests of an actual vehicle. Using this analysis model, this study analyzed the braking effect by vehicle factor, and finally designed a tire that had optimized braking performance. As a result of this study, it was possible to design the MF tire model whose braking performance improved by 9.2 %.

MEASURING PERFORMANCE IN EGYPTIAN CONSTRUCTION FIRMS APPLYING QUALITY MANAGEMENT SYSTEMS

  • Manal S. Abd Elhamid;Sahar. Sh. Ghareeb;Ramadan O. Mohamed
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.149-156
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    • 2011
  • The performance measurement of construction firms is considered as a competitive advantage to develop and improve their performance to have place in the market and stay able to face the continuous challenge. Egyptian construction firms (ECF) started recently to adopt quality management system (QMS) as a way to develop and improve their performance as previous studies showed. However, measuring that performance to include all the firm's aspects in a competitive way is a crucial process for the ECF's culture. The research is trying to indicate the role of the QMS implementation in measuring performance (MP) through developing a model for measuring performance on the organization level, and explore its impact on the organization that adopt quality management system. This model is based on specific elements and their related indicators which have been derived from national approaches and models of measuring performance (benchmarking, quality awards and six sigma).Elements determination and the status of their real practice has been investigated through a questionnaire to a representative sample of ECF. This model determines the performance level (PL) of the organization that measured by a mean of a point system. Weights of the elements in the point system considered both the elements' importance in the international models and its real practice in the Egyptian construction firms. So, the final outcome of the model reveals the level of firm performance that helps the firm to identify the weak points against the strong ones, Confirm the priorities and identify new opportunities for developing, and Check the position of the company in the market among the others. Another questionnaire has been developed to be distributed on a group of Experts on measuring performance for the purpose of model validation. The majority of surveyed experts agreed that the proposed model can be applied effectively.

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QFD를 이용한 품질경영 시스템의 개발모듈에 대한 이행도 평가모형 (Constructing a Performance Evaluation Model of an R&D Module in Quality Management System Using QFD)

  • 류문찬;우성권
    • 품질경영학회지
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    • 제30권2호
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    • pp.1-10
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    • 2002
  • A performance evaluation model of an R&D module in the quality management system for M Company Is constructed using QFD. The company produces telecommunication devices and employs the performance evaluation model based on ISO 9000 family. However, the model has some problems, one of them is that all check items are regarded as equally important Customer requirements are gathered from internal customers and QFD is utilized to obtain weights for each check item.

주식분할의 장기성과 측정 모델에 대한 연구 (A Study about Measurement Model of Long Term Performance in Stock Split)

  • 신연수
    • 정보학연구
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    • 제9권3호
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    • pp.77-89
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    • 2006
  • The event study analyzes returns around event date at a time. Event study provides estimation periods and cumulative returns. Stock split announcements are generally associated with positive abnormal returns. It is important to investigate the responses of stocks to new information contained in the announcements of stock splits. So It is important to study the long term performance in the case of Stock Split. This Study forced to two approach method in evaluating the performance, the event time portfolio approach and calendar time portfolio approach. The event time portfolio approach exists the CAR model, BHAR model and WR model. And the calendar time portfolio approach has the 3 factor model, 4 factor model, CTAR model, and RATS model.

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A Risk-based System Analysis Model for Improving the Performance of Financial Solutions

  • Lee, Jong Yun;Kim, Jong Soo;Kim, Tai Suk
    • 한국멀티미디어학회논문지
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    • 제18권11호
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    • pp.1367-1374
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    • 2015
  • In this paper, we propose a model which can prioritize the performance improvement work by analyzing the major risks and their influence, which can cause performance degradation in the system and show an example of a performance improvement using this model. In presentation-tier, as a result of log data analysis before and after the performance improvement of key processes which handle financial transactions, this model brought the CPU utilization and memory enhancement in the performance improvement work of the financial system which was carried out by applying the proposed model. It has been confirmed that the entire end-user can be accommodated. In the web-tier, the available memory increased by 200MB and we were able to improve the server restart(Recycling) that was sustained in the existing system. In the business logic-tier, we have been able to see better figures after performance improvements through the graph which analyzes the log collected with the key performance counters such as CPU%, Batch Requests/sec. In the data-tier, it has been confirmed that CPU usage and standby operation were reduced and the throughput was found to increase.

포괄적인 정보시스템 성과평가모형에 관한 연구 (A Comprehensive Model for Measuring Information Systems Performance)

  • 안봉근;주기중;권해익
    • 경영과학
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    • 제21권2호
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    • pp.111-122
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    • 2004
  • Measuring performance of corporate information system has become one of the core issues in that development of the information system requires substantial amount of investments and the system works as a crucial leverage to enhance competitive edge. Most of the previous researches for performance of the information system have narrow and limited focus on such as the effect of user satisfaction and productivity. This paper suggests a model to measures the comprehensive performance which is classified as user scope (user involvement and satisfaction), operational scope (task productivity, task innovation, customer satisfaction, management control) and efficiency scope (financial performance), and to represent the relationship among the scopes by the path analysis model. Followings are conclusions from statistical hypothesis test of the model: (i) user involvement through user satisfaction has positive effect on all the performances in the operational scope, (ii) task innovation and customer satisfaction in the operational scope has statistically significant impact on financial performance but task productivity and management control do not. This conclusion indicates that task productivity and management control has the long term effect in nature, and evaluation of the information system has managerial implication when it Is measured in comprehensive performance which includes internal operational performances as well as financial performance.

A Study on Comparison of Excellence Among of P-Model, E-Model, and GAP-Model

  • Cho, Yoon-Shik;Doh, Min-Sun
    • Journal of the Korean Data and Information Science Society
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    • 제19권3호
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    • pp.893-901
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    • 2008
  • The disconfirmation paradigm is the earliest researched and the most deeply researched of all the paradigms in marketing. Disconfirmation paradigm deals with the influence of expectation, perceived product performance, and the discord between the two on consumer satisfaction. The GAP-Model is based on the disconfirmation paradigm that tries to understand the effect of the gap between before purchase expectations and after purchase perceptions of the product performance on dependent variables such as customer satisfaction. The purpose of this research is to test whether regression coefficients of a P-Model(performance only model), an E-Model(expectation only model) and GAP(P-E)-Model are equivalent in explaining service value and loyalty. The Chow's F-Test is used to test the excellence of the 3 models. As a result of comparison and analysis, P-Model showed more excellence of service value and loyalty than E-Model or GAP-Model.

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머신러닝을 이용한 다공형 GDI 인젝터의 플래시 보일링 분무 예측 모델 개발 (Development of Flash Boiling Spray Prediction Model of Multi-hole GDI Injector Using Machine Learning)

  • 상몽소;신달호;;박수한
    • 한국분무공학회지
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    • 제27권2호
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    • pp.57-65
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    • 2022
  • The purpose of this study is to use machine learning to build a model capable of predicting the flash boiling spray characteristics. In this study, the flash boiling spray was visualized using Shadowgraph visualization technology, and then the spray image was processed with MATLAB to obtain quantitative data of spray characteristics. The experimental conditions were used as input, and the spray characteristics were used as output to train the machine learning model. For the machine learning model, the XGB (extreme gradient boosting) algorithm was used. Finally, the performance of machine learning model was evaluated using R2 and RMSE (root mean square error). In order to have enough data to train the machine learning model, this study used 12 injectors with different design parameters, and set various fuel temperatures and ambient pressures, resulting in about 12,000 data. By comparing the performance of the model with different amounts of training data, it was found that the number of training data must reach at least 7,000 before the model can show optimal performance. The model showed different prediction performances for different spray characteristics. Compared with the upstream spray angle and the downstream spray angle, the model had the best prediction performance for the spray tip penetration. In addition, the prediction performance of the model showed a relatively poor trend in the initial stage of injection and the final stage of injection. The model performance is expired to be further enhanced by optimizing the hyper-parameters input into the model.