• Journal of Construction Engineering and Project Management
• /
• 제2권2호
• /
• pp.1-17
• /
• 2012

The automated construction machines have been recently developed to help solve the construction industry problems that significantly affect labour, productivity, quality, and profit. Despite the importance of performance analysis to commercialize the automated construction machines, previous studies have mainly concentrated on developing hardware and software of automated construction machines. This research now focuses on two objectives: (1) to propose an analysis model which can measure productivity, quality, and safety improvement rate of automated construction machines based on research and development (R&D); and (2) to develop a performance analysis system which will aid the evaluator in analysing the performance of automated construction machines. Finally, it is anticipated that the effective use of the performance analysis model and computerized system will ably develop the high-performance, automated construction machines and establish the marketing strategy to increase not only the commercial value but also the upkeep and development of construction machines.

• 한국정보과학회논문지:시스템및이론
• /
• 제32권7호
• /
• pp.377-392
• /
• 2005

컴퓨터 시스템이 등장한 이후 시스템 성능을 측정하고 분석하기 위한 많은 연구가 시스템 모델링, 성능 측정, 감시, 그리고 성능 예측 등 여러 분야에서 진행되었다. 그럼에도 불구하고, 각 성능 관련 분야를 하나로 묶는 통합 프레임워크에 관한 연구는 거의 이루어지지 않았다. 특히 TMO(Time-Triggered Message-Triggered Object) 실시간 프로그래밍 모델의 경우, 간단한 감시 도구를 제외하고 성능 측정 도구나 분석 프레임워크가 없어, TMO 모델 기반 시스템 및 태스크를 분석하는데 어려움이 있다. 이에 따라, 본 논문에서는 TMO 모델 기반의 동적 분석 프레임워크인 TDAF(TMO based Dynamic Analysis Framework)를 제안한다. TDAE는 성능 측정 및 분석 단계를 전체적으로 다루며, 구성 요소인 부하 모델, 성능 모델, 그리고 보고 모델을 유기적으로 결합하여 보다 신뢰할 수 있는 정보를 개발자에게제공한다. 이를 지원하기 위해 기존 부하 모델에 TMO 모델을 결합하여 확장한 부하 모델을 제안하고, TMO 객체 부하를 파악할 수 있는 부하 계산 알고리즘을 제안한다. 또한 TMO 객체 부하를 고려하여 성능 측정지수를 구현한 성능 알고리즘과, 부하 및 성능을 기초로 실시간 태스크의 주기 및 데드라인을 도출할 수 있는 보고 모델과 알고리즘을 제안한다. 마지막으로 부하 계산 알고리즘의 타당성을 입증하기 위한 실험을 수행하고 그 결과를 제시한다.

• 한국군사과학기술학회지
• /
• 제12권4호
• /
• pp.407-414
• /
• 2009

This paper describes a conceptual model for the performance analysis simulator of a weapon launching system. The system performance analysis simulator is envisioned to provide an integrated analysis environment in which the system performance and operational effectiveness can be analyzed in more rapid and efficient way. The conceptual model for the simulator describes a referent independently of specific technology and implementation, and it can be used to transform the simulator requirements into the simulator system specifications.

• Asia pacific journal of information systems
• /
• 제21권2호
• /
• pp.19-42
• /
• 2011

This paper proposes a new framework to predict decision performance by investigating the cognitive fit of decision makers. We assume that every decision maker has two kinds of schema: emotional and rational. Cognitive fit is believed to have a close relationship with the two schemata and decision performance. In the literature on decision performance there is few studies investigating the relationship between the two schemata and cognitive fit. Therefore, our research purposes are twofold: (1) to provide a theoretical basis for the proposed framework describing the causal relationships among the two schemata, cognitive fit. and decision performance, and (2) to empirically prove its validity in the application to an Internet shopping environment. Based on the questionnaires from 104 respondents, we used a second order, confirmatory factor analysis (CFA) model to extract valid constructs, and a structural equation model (SEM) to calculate path coefficients and prove the statistical validity of our proposed research model. The experimental results supported our research model.

• 한국공간구조학회논문집
• /
• 제21권1호
• /
• pp.87-94
• /
• 2021

The purpose of this paper is to improve the inappropriate analysis results when the end of the brace on braced frame is applied as pinned connection in practice. The stiffness of the gusset plate connection on the braced frame has the amount of between pinned and rigid connection, and the analysis model that applies the stiffness of the connection must be used for accurate performance evaluation. In this study, the stiffness of the gusset plate designed by the balanced design procedure are quantified, and applied to the analysis model to simulate the gusset plate connection. The proposed model was verified through nonlinear static analysis (pushover analysis) of SAP2000. The effect of the connection on the seismic performance of the braced frame was analyzed by comparing the proposed model and pinned model. As a result, it was confirmed that the performance of the braced frame was evaluated conservatively in practice, and the ductility was overestimated. Therefore, it is important to consider the connection for accurate and economical performance evaluation.

• 한국시뮬레이션학회논문지
• /
• 제23권3호
• /
• pp.33-40
• /
• 2014

드리프터는 국산화개발에 어려움을 겪고 있는 장비이며, 외국선진사의 제품을 데드카피 하여도 시제품의 성능이 뒤떨어지는 현상이 발생하여 왔다. 본 논문은 천공기의 핵심부품인 드리프터의 해석모델을 활용하여 성능격차를 유발하는 요소를 분석하는 사례를 보여준다. 진행절차는 다음과 같다. 우선, 타격시험을 수행하여 해석모델의 신뢰성을 확보한다. 그리고 해석모델을 활용하여 외국선진사 제품과 시제품의 성능비교그래프를 도출한다. 마지막으로 해석모델의 변수를 분석하여 성능격차를 유발하는 인자에 접근한다. 사용된 소프트웨어는 독일 ITI사에서 개발된 SimulationX이다.

• Geomechanics and Engineering
• /
• 제29권3호
• /
• pp.369-376
• /
• 2022

Accurately evaluating and predicting the performance of facilities is a key task in establishing a maintenance strategy for facilities. The importance of performance evaluation is becoming more pronounced, especially when the aging of facilities requires a huge budget. In this study, performance assessment models were developed for road and railway tunnels. Delphi analysis was performed to identify sub-elements necessary to evaluate the performance of a tunnel. The relative importance of the evaluation factors was derived from the AHP analysis. The correlation analysis was performed between each assessment factor and the final result to verify the significance of the model. For the correlation analysis, the survey data measured through precision safety diagnosis in tunnels in use was applied. The cost effectiveness analysis was also conducted according to the scenarios with different composition of performance factors in order to improve the practical applicability of the evaluation model developed in this study.

• 한국경영과학회:학술대회논문집
• /
• 한국경영과학회 2000년도 추계학술대회 및 정기총회
• /
• pp.275-278
• /
• 2000

This paper focuses on a performance analysis model for optimizing the freight terminal design and layout using AutoMod simulator and numerical analysis. We developed a model to analyze the freiht terminal performance per unit time and the material handling cost based on both throughput and waiting due to conjestion. We developed computer program for this model and some sample results by both numerical method and AutoMod simulator are compared.

• 디지털산업정보학회논문지
• /
• 제12권4호
• /
• pp.71-79
• /
• 2016

This study proposes a performance model of a shared bus multi-processor system and analyzes the effect of input/output types on system performance and overload of shared resources. This system performance model reflects the memory reference time in relation to the effect of input/output types on shared resources and the input/output processing time in relation to the input/output processor, disk buffer, and device standby places. In addition, it demonstrates the contribution of input/output types to system performance for comprehensive analysis of system performance. As the concept of workload in the probability theory and the presented model are utilized, the result of operating and analyzing the model in various conditions of processor capability, cache miss ratio, page fault ratio, disk buffer hit ratio (input/output processor and controller), memory access time, and input/output block size. A simulation is conducted to verify the analysis result.

• International Journal of Advanced Culture Technology
• /
• 제11권3호
• /
• pp.310-314
• /
• 2023

The purpose of this study is to predict the remaining capacity of lithium-ion batteries and evaluate their performance using five artificial intelligence models, including linear regression analysis, decision tree, random forest, neural network, and ensemble model. We is in the study, measured Excel data from the CS2 lithium-ion battery was used, and the prediction accuracy of the model was measured using evaluation indicators such as mean square error, mean absolute error, coefficient of determination, and root mean square error. As a result of this study, the Root Mean Square Error(RMSE) of the linear regression model was 0.045, the decision tree model was 0.038, the random forest model was 0.034, the neural network model was 0.032, and the ensemble model was 0.030. The ensemble model had the best prediction performance, with the neural network model taking second place. The decision tree model and random forest model also performed quite well, and the linear regression model showed poor prediction performance compared to other models. Therefore, through this study, ensemble models and neural network models are most suitable for predicting the remaining capacity of lithium-ion batteries, and decision tree and random forest models also showed good performance. Linear regression models showed relatively poor predictive performance. Therefore, it was concluded that it is appropriate to prioritize ensemble models and neural network models in order to improve the efficiency of battery management and energy systems.