• Communications of the Korean Institute of Information Scientists and Engineers
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• v.30 no.9
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• pp.19-26
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• 2012

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.175-178
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• 2007

COMS (Communication Ocean Meteorological Satellite) is the geostationary satellite being developed by Korea Aerospace Research Institute for multi-mission: experimental communication, ocean monitoring and meteorological observations. The COMS operation is controlled by the on-board software running on the spacecraft central computer. The software is written in ADA language and developed under the software life cycle: Requirement analysis, Design, Implementation, Component test and Integration test. Most functional requirements are tested at component level on a software component testing tool, ATTOL. ATTOL provides a simple way to define the test cases and automates the test program generation, test execution and test analysis. When two or more verified components are put together, the integration test starts to check the non-functional requirements: real-time aspect, performance, the HW/SW compatibility and etc. This paper introduces the COMS on-board software and explains what to test and how to test the on-board software at component level using ATTOL.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.460-463
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• 2007

COMS (Communication Ocean Meteorological Satellite) is the geostationary satellite being developed by Korea Aerospace Research Institute for multi-mission: experimental communication, ocean monitoring and meteorological observations. The COMS operation is controlled by the on-board software running on the spacecraft central computer. The software is written in ADA language and developed under the software life cycle: Requirement analysis, Design, Implementation, Component test and Integration test. Most functional requirements are tested at component level on a software component testing tool, ATTOL. ATTOL provides a simple way to define the test cases and automates the test program generation, test execution and test analysis. When two or more verified components are put together, the integration test starts to check the non-functional requirements: real-time aspect, performance, the HW/SW compatibility and etc. This paper introduces the COMS on-board software and explains what to test and how to test the on-board software at component level using ATTOL.

• IEMEK Journal of Embedded Systems and Applications
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• v.14 no.1
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• pp.51-61
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• 2019

There are strict evaluation processes before using new processors to satellites. Engineers evaluate processors from various viewpoints including specification, development environment, and cost. From a viewpoint of computation power, manufacturers provide benchmark results with processors, and engineers decide which processors are adequate to their satellites by comparing the benchmark results with requirements of their satellites. However, the benchmark results depends on a test environment of manufacturers, and it is quite difficult to achieve similar performance in a target environment. Therefore, it is necessary to evaluate the processors in the target environment. This paper compares performance of a processor, AT697F/LEON2, in software testbed (STB) with three development boards of XC2V/LEON3, GR712RC/LEON3, and GR740/LEON4. Seven benchmark functions of Dhrystone, Stanford, Coremark, Whetstone, Flops, NBench, and MiBench are selected. Results are analyzed with hardware and software properties: hardware properties of core architecture, number of cores, cache, and memory; and software properties of build options and compilers. Based on the analysis, this paper describes a guideline for choosing processors for next generation satellites.

• Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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• 1997.04a
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• pp.253-259
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• 1997

A software for design of turbine bearings has been developed based on both the theoretical analysis and experimental investigation. Static and dynamic performance, i.e. load capacity, frictional loss, temperature distribution, stiffness and damping coefficients, stability etc., can be obtained by using this software taking into account the effects of three dimensional variation of lubricant viscosity, turbulence and inlet pressure. A performance test rig was developed by self-design and technology, which was used to verify static and dynamic characteristics and to investigate the proper boundary conditions for theoretical analysis. Consequently HANJUNG has developed the self-design technology for design of turbine bearings for power plants.

• International Journal of Contents
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• v.13 no.1
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• pp.38-44
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• 2017

Increased use of software and complexity of software functions, as well as shortened software quality evaluation periods, have increased the importance and necessity for automation of software testing. Automating software testing by using machine learning not only minimizes errors in manual testing, but also allows a speedier evaluation. Research on machine learning in automated software testing has so far focused on solving special problems with algorithms, leading to difficulties for the software developers and testers, in applying machine learning to software testing automation. This paper, proposes a new machine learning framework for software testing automation through related studies. To maximize the performance of software testing, we analyzed and categorized the machine learning algorithms applicable to each software test phase, including the diverse data that can be used in the algorithms. We believe that our framework allows software developers or testers to choose a machine learning algorithm suitable for their purpose.

• Journal of Positioning, Navigation, and Timing
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• v.8 no.2
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• pp.69-77
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• 2019

This study introduces MATLAB Graphical User Interface (GUI)-based software to monitor ionospheric disturbances. This software detects ionospheric disturbances using Global Positioning System (GPS) and Global Navigation Satellite System (GLONASS) measurements, and estimates a location of the disturbance source through the detected disturbance. In addition, this software includes a sky plot making function and frequency analysis function through wavelet transform. To evaluate the performance of the developed software, data of 2011 Tohoku earthquake in Japan were analyzed by using the software. The analysis results verified that the ionospheric disturbances were detected through GPS and GLONASS measurements, and the location of the disturbance source was estimated through the detected disturbance.

• New & Renewable Energy
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• v.6 no.2
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• pp.5-11
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• 2010

This paper reviews three commercial softwares for wind climate data analysis in wind resource assessment; WAsP/Observed Wind Climate, WindRose and Windographer. Windographer is evaluated as the best software because of its variety of input data format, analysis functions, easiness of user interface, etc. For a quantitative understanding of uncertainty depending on software selection, a benchmark is carried out with the met-mast observation dataset at the Gimnyeong Wind Turbine Performance Test Site. It is found that Weibull parameter calculation and air density correction have a dependency on the software so that such uncertainty should be considered when an analysis software is selected. It is confirmed that annual energy production calculated by WAsP using a statistical table of frequency of occurrence may have some error compared to a time-series calculation method used by the other softwares.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3231-3248
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• 2015

Many IT organizations aspire to improve the efficiency and general standard of their software development effort by implementing agile software development practices. Some of the popular agile development methods adopted by IT organizations are Scrum, eXtreme Programming (XP), Kanban, Featured Driven Development (FDD) and Dynamic System Development Method (DSDM). This paper intends to identify and analyze the barriers that impact on the performance of IT organizations that use such agile software development methods. The analysis will help the IT organizations to cater the needed aspects to be successful. The analysis will also help the IT organizations to select the right methodology for their organization. The contribution of this analysis is to present guideline related to avoid or overcome the barriers towards adoption of agile.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.995-1000
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• 2008

Software Process Improvement(SPI) becomes an important issue at software quality. A research model is suggested on the basis of previous literature. The model includes success factors for SPI as independent variables and CMM levels as mediating variables, and defines organizational performance as dependent variables. This study basically investigates causational relationships among SPI success factors, CMM levels, and organizational performance through a structured equation model. A LISREL v8.72 for windows is used for statistical analysis. Even through success factors for SPI partially influences the CMM level, the CMM level is fully related to the level of organizational performance. The results show that the success factor for SPI in Korean companies are not equal to the factors abroad, but indicate that the CMM level is closely related to the organizational performance. These results will be helpful to academicians as well as to practitioners.