• Transactions of the Korean Society of Automotive Engineers
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• v.18 no.1
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• pp.44-50
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• 2010

Durability performance evaluation technology using Virtual Testing Method is a new concept of a vehicle design, which can reduce the automotive components design period and cost. In this paper, the fatigue life of an aluminum knuckle of a passenger car is evaluated using virtual testing method. The flexible multibody dynamic model of a front half car module is generated and solved with service loads which are measured from Belgian roads. Using a multibody dynamic analysis software, the flexible multibody dynamic simulation of a half car model is carried out and the dynamic stress profile of an aluminum knuckle is acquired. The stress profile is exported to a fatigue analysis software and durability performance of an aluminum knuckle is evaluated.

• Asia pacific journal of information systems
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• v.11 no.4
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• pp.155-173
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• 2001

This study identified CSFs(Critical Success Factors) for successful ERP system implementation in small and medium firms, and empirically tested relationship between CSFs and user performance. Survey questionnaires were distributed via email & fax to 142 firms that have implemented ERP systems. Out of 52 responded questionnaires, 46 data sets were available for statistical analysis with SPSSWin8.0. CEO's participation, vendor support & service, securing human resources, effective use of software, and hardware capacity were identified as CSFs from factor analysis. Among those factors, vendor support & service and effective use of software were related to user performance, and the relationship was shown to be statistically significant. Study results also showed that user performance of ERP system was significantly different among those surveyed firms when ERP system package products were used as a simple proxy measure of independent variable.

• Journal of Positioning, Navigation, and Timing
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• v.6 no.3
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• pp.117-123
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• 2017

In this paper, we propose a performance index that can compare the position estimation performance according to the time slot allocation order, which is superior in the position estimation performance in the operation of the Link-16 based relative navigation system. In order to verify the validity of the performance index, a software-based Link-16 relative navigation system performance analysis platform composed of a signal generator, a signal reception and navigation algorithm execution unit, and a performance analysis unit was designed. Using the designed software platform, we analyzed the relationship between proposed performance index and position estimation performance according to time slot allocation order in the same position reference (PR) arrangement. The performance index of the proposed time slot allocation is expected to be utilized not only for the Link-16 system, but also for the Time Division Multiple Access (TDMA)-based navigation system.

• Journal of Information Technology Services
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• v.10 no.3
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• pp.127-147
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• 2011

Business organizations today have sought management effectiveness and efficiency utilizing information technologies. In particular, small and medium-sized enterprises short of information resources tend to rely more on outsourcing for accomplishing their own information strategies. SaaS(Software as a Service) has recently become one of the powerful outsourcing alternatives. This study tries to identify the influence of the SaaS quality on the service performance and loyalty. A SaaS quality model is developed including tangibles, reliability, responsiveness, assurance, and empathy. Then they are hypothesized to have influence on the service performance defined as user satisfaction, individual performance, and organizational performance. Service performance is considered to have an impact on the loyalty to service. Findings from a survey to test hypotheses on the relationship among SaaS quality, performance and loyalty show these variables are significantly important to widespread adoption of SaaS.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.46 no.2
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• pp.133-140
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• 2018

In this paper, we develop an automated software for in-plane structural analysis of composite laminated structures. The developed software supports various failure criteria and reports the analysis results considering user's convenience. It also provides batch job analysis function based on parallel processing technique. To verify the performance of the software, we compared margin of safety(MS) calculated in the software to those obtained from in-house method and the specimen experiment. As a result of comparisons, there was an error of less than 0.01 in the in-house method and it is within about ${\pm}10%$ with the specimen experiment. In addition, we confirmed the improvement of execution speed of batch job analysis based on parallel processing technique.

• The Transactions of the Korea Information Processing Society
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• v.13 no.5
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• pp.236-242
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• 2024

Software Defect Prediction (SDP) enhances the efficiency of software development by proactively identifying modules likely to contain errors. A major challenge in SDP is improving prediction performance. Recent research has applied deep learning techniques to the field of SDP, with the SAINT model particularly gaining attention for its outstanding performance in analyzing structured data. This study compares the SAINT model with other leading models (XGBoost, Random Forest, CatBoost) and investigates the latest deep learning techniques applicable to SDP. SAINT consistently demonstrated superior performance, proving effective in improving defect prediction accuracy. These findings highlight the potential of the SAINT model to advance defect prediction methodologies in practical software development scenarios, and were achieved through a rigorous methodology including cross-validation, feature scaling, and comparative analysis.

• Information Systems Review
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• v.3 no.1
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• pp.31-46
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• 2001

• Journal of Korea Multimedia Society
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• v.18 no.11
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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.

• Journal of Ocean Engineering and Technology
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• v.34 no.6
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• pp.377-386
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• 2020

This paper discusses the effectiveness of onboard measurements and data extracted from weather information for speed-power analysis. Furthermore, validation results of hull and propeller cleaning and painting during dry-docking are discussed. Wind and wave information can be obtained from onboard measurements or weather information from the National Oceanic and Atmospheric Administration (NOAA). The weather information of a specified position and time is extracted from NOAA weather data and compared with onboard measurements. In addition, to validate the effects of hull cleaning and painting during dry-docking, speed-power analysis results of before and after dry-docking are compared. The results show that both onboard measurements and weather information show acceptable reliability when added resistance and speed-power analysis results are compared with each other. Moreover, the ship performance analysis (SPA) software clearly shows the effects of hull cleaning and painting, and it can provide reliable analysis results with either onboard measurements or weather information. In conclusion, it is confirmed that the analysis method and SPA software used in this study are effective in analyzing the ship's speed-power performance.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.3
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• pp.1-7
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• 2008

This paper proposes an object-oriented software development guidance and an evaluation index for the productivity related to EJB(Enterprise JavaBeans). EJB is a known successful standard model for LSDO(Large Size Distributed Object). However, there is no comparison research about the performance of EJB 2.0 and 3.0 with same identical platform. Quantitative analysis is supported as a part of LOC(Line Of Code) analysis. There is a limit to develop the updated software with no the specific evaluating index for the productivity of software. This work proposes an specific index for evaluating the productivity of new version EJB on a platform. Base on the result, the specific guidance of the developing software is obtained.