2015, Vol.20, No.3

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

pISSN : 1598-849X / eISSN : 2383-9945
https://journal.kci.go.kr/jksci

The most used smart set-top box in home driven by the Android OS and based on Wi-Fi technologyhas to ensure nothing wrong with the Wi-Fi service regardless of the various user's installationenvironment. The direction test method about the nondirectional of the Wi-Fi doesn't be determined as the standard and each manufacturers devise the their own test methods and conduct the tests. In this paper,we created the 720 test cases considering 2 components of upload & download, the 10 elements of thevertical angle and the 36 elements of the horizontal angle looking at the wireless router in order to verifyomni-directional Wi-Fi capability. In reality, from viewpoint in terms of cost and time constraint, it isdifficult to test all the test cases. Therefore, we decided to reduce test cases by applying Pair-wisetesting technique which is one of combinational testing techniques based on ISO / IEC 29119-4. And weobtained the test cases in which the Pair-wise technique was applied by Allpairs tool which output testcases automatically and conducted the test. It could be confirmed that the proposed technique shortened48.61% of the time to be spent in progressing the existing test cases and that the trace about the part inwhich the problem was generated with the result of the simplified test case was possible enough.

The ISO 26262 standard requires a preliminary hazard analysis and risk assesment early in thedevelopment for automotive system. This is a first step for the development of an automotive system todetermine the necessary safety measures to be implemented for a certain function. In this paper, wepropose an ontology-based hazard analysis and risk assessment method for automotive functional safety. We use ontology to model the hazard and SWRL(Semantic Web Language) to describe risk analysis. Theapplicability of the proposed method is evaluated by the case study of an ESCL(electronic steering columnlock) system. The result show that ontology deduction is useful for improving consistency and accuracy ofhazard analysis and risk assessment.

Technologies of wind power generation for development of alternative energy technology have beenaccumulated over the past 20 years. Wind power generation is environmentally friendly and economicalbecause it uses the wind blowing in nature as energy resource. In order to operate wind power generationefficiently, it is necessary to accurately predict wind speed changing every moment in nature. It isimportant not only averagely how well to predict wind speed but also to minimize the largest absolute error between real value and prediction value of wind speed. In terms of generation operating plan,minimizing the largest absolute error plays an important role for building flexible generation operating planbecause the difference between predicting power and real power causes economic loss. In this paper, wepropose a method of wind speed prediction using numeric prediction algorithm-based wind speed forecastmodel made to analyze the wind speed forecast given by the Meteorological Administration and patternvalue for considering seasonal property of wind speed as well as changing trend of past wind speed. Thewind speed forecast given by the Meteorological Administration is the forecast in respect to comparativelywide area including wind generation farm. But it contributes considerably to make accuracy of wind speedprediction high. Also, the experimental results demonstrate that as the rate of wind is analyzed in moredetail, the greater accuracy will be obtained.