• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제16권6호
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• pp.637-647
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• 2010

최근 임베디드 시스템은 운영체제를 포함하는 복잡한 소프트웨어 계층 구조를 가지는 형태로 발전하고 있다. 이러한 소프트웨어의 성능을 분석하기 위해서는, 한 소프트웨어 계층에서의 성능 뿐 아니라 전체 소프트웨어 계층 구조를 모두 고려해야 한다. 본 논문에서는 리눅스 기반 임베디드 시스템의 모든 소프트웨어 계층 구조를 고려할 수 있는 성능 분석 도구를 설계하고 구현한 결과를 보인다. 제안하는 기법은 응용 프로그램이나 라이브러리에 대한 재컴파일 없이 모든 소프트웨어 계층의 성능 분석에 필요한 측정 정보를 수집한다. 이 기법을 통해 리눅스 기반 임베디드 시스템에서 응용 프로그램의 실행에 따라 발생하는 사용자 정의 함수, 미들웨어 라이브러리 함수, 커널의 시스템 호출, 커널 이벤트에 대한 다양한 성능 분석을 수행할 수 있다. 실험을 통해 본 연구를 통해 구현된 분석도구를 사용하여 실제 실행 경로 분석, 각 소프트웨어 계층의 함수나 이벤트의 소요시간 분석, 그리고 소프트웨어 계층간 실행 흐름 분석 결과를 확인할 수 있으며, 이를 통해 전체 소프트웨어 계층상의 성능 병목을 찾을 수 있음을 보인다.

• 풍력에너지저널
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• 제4권1호
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• pp.20-29
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• 2013

Load measurement, which is performed based on IEC 61400-13, consists of three stages: the stage of collecting huge amounts of load measurement data through a measurement campaign lasting for several months; the stage of processing the measured data, including data validation and classification; and the stage of analyzing the processed data through time series analysis, load statistics analysis, frequency analysis, load spectrum analysis, and equivalent load analysis. In this research, we pursued the development of an analysis software in MATLAB to save labor and to secure exact and consistent performance evaluation data in processing and analyzing load measurement data. The completed analysis software also includes the functions of processing and analyzing power performance measurement data in accordance with IEC 61400-12. The analysis software was effectively applied to process and analyse the load measurement data from a demonstration research for a 750 kW direct-drive wind turbine generator system (KBP-750D), performed at the Daegwanryeong Wind Turbine Demonstration Complex. This paper describes the details of the analysis software and its processing and analysis stages for load measurement data and presents the analysis results.

• Journal of Information Technology Applications and Management
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• 제11권2호
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• pp.15-27
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• 2004

Most software projects inevitably involve various types and degrees of uncertainty. Without proper risk assessment and coordination, software projects can easily run out of control and consume significant additional resource. Thus, risk management techniques are critical issues to information system researchers. Previous empirical studies of U.S. software firms support the adoption of development standardization and user requirement analysis techniques in risk-based software project management. Using data collected from software projects developed in Korea during 1999-2000, we conduct a comparative study to determine how risk management strategies impact software product and process performance in countries with dissimilar IT capabilities. In addition, we offer an alternative conceptualization of residual performance risk. We show that the use of residual performance risk as an intervening variable is inappropriate in IT developing countries like Korea where the role of late stage risk control remedies are critical. A revised model is proposed that generates more reliable empirical implications for Korean software projects.

• 한국IT서비스학회지
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• 제17권3호
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• pp.171-189
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• 2018

To remove software defects and improve performance of software, many developers perform code inspections and use static analysis tools. A code inspection is an activity that is performed manually to detect software defects in the developed source. However, there is no clear criterion which source codes are inspected. A static analysis tool can automatically detect software defects by analyzing the source codes without running the source codes. However, it has disadvantage that analyzes only the codes in the functions without analyzing the relations among source functions. The functions in the source codes are interconnected and formed a social network. Functions that occupy critical locations in a network can be important enough to affect the overall quality. Whereas, a static analysis tool merely suggests which functions were called several times. In this study, the core functions will be elicited by using social network analysis and DEA (Data Envelopment Analysis) for CUBRID open database sources. In addition, we will suggest clear criteria for selecting the target sources for code inspection and will suggest ways to find core functions to minimize defects and improve performance.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.952-963
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• 2008

The collection of KTX trainset fault code is made by DEP software. We can improve software function and update data after understanding DEP software function and software structure. For the improvement of trainset function and its performance, the same improvement of performance and structure change as DEP software, which collects and analyzes train's fault information, are required. Accordingly, we made a research for functional strucfure of KTX fault code collection software, STR3F, variable declaration through Script.rxr file and code analysis method and proceeded research for realizing more improved user environment of DEL software and fault analysis method.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 추계학술발표대회
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• pp.145-148
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• 2019

Principal Component Analysis (PCA) is a powerful technique in data analysis and widely used to detect anomalies in Wireless Sensor Networks. However, the performance of conventional PCA is not high on time-series data collected by sensors. In this paper, we propose a Joint Exponential Smoothing and Trend-based Principal Component Analysis (JES-TBPCA) for Anomaly Detection which is based on conventional PCA. Experimental results on a real dataset show a remarkably higher performance of JES-TBPCA comparing to conventional PCA model in detection of stuck-at and offset anomalies.

• 한국IT서비스학회지
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• 제16권4호
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• pp.65-75
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• 2017

The purpose of this study is to investigate how software policy shows the moderating effects between organizational capability maturity and organizational performance. The software policy includes the proportions of development personnel and development budget that can affect organizational performance. It is important to empirically identify whether the ratios of budget and personnel, which are some of the main policy indexes of the organization can promote the causal relationship between organizational maturity and organizational performance. These personnel and budget may be assumed to affect the causal relationship between organizational capability maturity and organizational performance. The results of this study shows that the moderating effects of software policy are partially proved. The two policy indexes, personnel ratio and budget ratio, showed a moderating effect between process implementation and organizational performance, but did not show any moderating effect between quantitative management and organizational performance. This is because the companies participating in the survey are still in the early stages of quantitative process management and quantitative management does not show the differentiated results among the participating organizations. The significance of this study is as follows. In the academic aspect, the causal relationship between organizational maturity and organizational performance was examined empirically, and it was analyzed whether the two adopted policy indicators have a moderating effect between organizational maturity and organizational performance. On the practical side, the analysis suggested that the ratios of budget and personnel emphasized by the government or organization played a role of facilitating the organizational maturity and organizational performance.

• 한국CDE학회논문집
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• 제16권2호
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• pp.146-155
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• 2011

As the seriousness of environmental pollution being on a rise, a low carbon and environment-friendly design for energy efficiency has been issued. With respect to energy in the construction industry, an adoption of BIM which is possible for the various energy performance assessments in the early design phase has been actively working on. In the most cases of energy performance assessment, the data compatibility from the lack of standard software and format became a problem and the improvement for data compatibility system has been needed. This study is to develop the IFC based IDF converter as a middleware which connects between BIM software and energy analysis software. For the building energy performance assessment, Energy Plus and IFC are selected for the standard energy analysis software and its file format. Parameters are organized by steps and the integrated material library is built so it is trying to reduce the existing problem of energy software interface as much as possible. The development of IDF Converter will promote the spread of related fields with increasing the BIM standard and the utilization of energy performance assessment.

• Journal of Information Processing Systems
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• 제1권1호
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• pp.62-69
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• 2005

This paper presents a queuing analysis model of a PC-based software router supporting IPv6-IPv4 translation for residential gateway. The proposed models are M/G/1/K or MMPP-2/G/1/K by arrival process of the software PC router. M/G/1/K is a model of normal traffic and MMPP-2/G/1/K is a model of burst traffic. In M/G/1/K, the arriving process is assumed to be a Poisson process, which is independent and identically distributed. In MMPP-2/G/1/K, the arriving process is assumed to be two-state Markov Modulated Poisson Process (MMPP) which is changed from one state to another state with intensity. The service time distribution is general distribution and the service discipline of the server is processor sharing. Also, the total number of packets that can be processed at one time is limited to K. We obtain performance metrics of PC-based software router for residential gateway such as system sojourn time blocking probability and throughput based on the proposed model. Compared to other models, our model is simpler and it is easier to estimate model parameters. Validation results show that the model estimates the performance of the target system.

• ETRI Journal
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• 제35권2호
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• pp.259-269
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• 2013

Android has become the most popular platform for mobile devices. However, Android still has critical performance issues, such as "application not responding" errors and hiccups resulting from garbage collection. Many phone vendors have tried to resolve the problems by characterizing and improving the performance. However, there are few insightful performance analysis tools for the Android-based systems. This paper presents AndroScope, which is a performance analysis tool for both the Android platform (Dalvik virtual machine, core libraries, Android libraries, and even Linux kernels) and its applications. To the best of our knowledge, this is the first tool to collect and analyze performance data from all the software layers of the Android-based systems. AndroScope offers a trace mechanism to collect such deep and wide performance data as hardware performance counters, time, and memory usage. In addition, the tool includes TraceBridge, which is a middleware for the fast handling of mass logs. Moreover, AndroScope offers an integrated graphical user interface with the Android software development kit to display a great volume of the detailed performance data.