• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.17 no.5
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• pp.94-102
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• 2003

This paper presents active management of feeder automation systems using active database. DAS(Distribution Automation System) has been managed for feeder automation in passive manner. Therefore, feeder automation system has to be managed by operator when feeder overloadings is detected. It may be possible for propagating the feeder overloadings area by operator's mistake. To overcome this defect, the author proposed the feeder automation technique with active manner to obtain feasible feeder reconfiguration. Active database can manage feeder automation system by data driven monitoring of events and by corresponding actions without operator's intervening. To manage feeder automation system with active manner, production rule, active rule manager are designed. And active database system architecture for feeder automation system is proposed. Test results on the KEPCO's 108 bus distribution system show that the performance is efficient and robust.

• Journal of KIISE:Software and Applications
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• v.36 no.1
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• pp.10-20
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• 2009

As unit testing should be performed repeatedly and continuously, it is a high-cost software development activity. Although there are many studies on unit test automation, there are less studies on automated test case generation which are worthy of note. In this paper, we discuss a study on automated test data generation from source codes and indicate algorithms for each stage. We also show some issues of test data generation and introduce an automated test data generating tool: CUTIG. As CUTIG generates test data not from require specifications but from source codes, software developers could generate test data when specifications are insufficient or discord with real implementation. Moreover we hope that the tool could help software developers to reduce cost for test data preparation.

• Proceedings of the SAREK Conference
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• 2008.11a
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• pp.642-648
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• 2008

In order to analyze the causes of fossil power plant facilities due to a degradation and corrosion, artificial degraded materials composed of the facilities were manufactured. Various experiment were performed based on mechanical test, microstructure observation, hardness test, electrochemical potentiokinetic reactivation test(EPR) and corrosion scale thickness measurement test. The master curves were write out using Larson-Miller parameter to evaluate the degree of degradation with the above diagnosis methods. These data were applied to materials database of fossil power plant diagnosis. Finally expert system on the fossil power plant diagnosis was developed using the master curves and diagnosis algorithms.

• Smart Structures and Systems
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• v.11 no.2
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• pp.135-161
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• 2013

This work presents a test platform for the assessment and benchmarking of modern actuators which have been specifically developed for the new field and service robotics applications. This versatile platform has been designed for the comparative analysis of actuators of dissimilar technology and operating conditions. It combines a modular design to adapt to linear and rotational actuators of different sizes, shapes and functions, as well as those with different load capacities, power and displacement. This test platform emulates the kinematics of robotic joints while an adaptive antagonist-load actuator allows reproducing the variable dynamic loads that actuators used in real robotics applications will be subjected to. A data acquisition system is used for monitoring and analyzing test actuator performance. The test platform combines hardware and software in the loop to allow actuator performance characterization. The use of the proposed test platform is demonstrated through the characterization and benchmarking of three controllable impedance actuators recently being incorporated into modern robotics.

• 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.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.2
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• pp.202-210
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• 1994

In this paper, the network management system is implemented based on the analysis of reguirements and network operation and management for Flexible Automation. Network management is necessary, which controls and supervises the network resources in the communication network. By means of both analytical methods and queueing model, the delay time distributions due to the increasement of transmission data are obtained and analyzed. The operations of this network management system are certified through the test environments with the network adaptor and softwares for each layer.

• Journal of Korean Society for Geospatial Information Science
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• v.21 no.1
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• pp.39-44
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• 2013

Trees are important ground objects that cause oxygen and reduce carbon dioxide in urban areas. For management of the trees, many studies using LIDAR data have been conducted. But, they rely on overseas developed LIDAR data processing software applications because there is a lack of domestically developed software applications. Therefore, this work was intended to propose an automation process that helps to extract trees automatically from LIDAR data. The proposed process has the function to classify LIDAR data and to extract building regions and trees automatically. It was applied to a study place in Yongin to conduct a test. As a result, about 88% of trees were extracted from the automation process.

• Journal of IKEEE
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• v.14 no.3
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• pp.210-218
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• 2010

TTCN-3(Testing & Test Control Notation Version 3) is the international standard testing language defined by ETSI in 2001. TTCN-3 is generally used for protocol conformance test, but it is also possible to be applied to the platform and API tests based on CORBA. Moreover, it can be also applied to the various testings such as interworking testing, repetition testing, platform testing, etc. IEC 61850 is the protocol proposed for SAS(Substation Automation System) of SCADA(Supervisory Control And Data Acquisition) system. In this paper, a IEC 61850 interoperability Tester based TTCN-3 is developed under the Window environment. IEC 61850 Server Simulator of Linux operating system is used as SUT(System Under Test). Conformance testing items in this paper are the Positive test case_Srv5 of "Server, Logical device, Logical node, and data model" in the testing group of "IEC 61850 - Part10" document.

• Journal of the Korean Society of Industry Convergence
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• v.13 no.4
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• pp.211-217
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• 2010

As the vehicle components are various, we confront unexpected problems in the development and application of them. also warranty expenses occur in the result of unconfirmed warranty.in this paper, to solve the problems of disconnection of damper Strut cable, we applied the optimum conditions through taguchi method for improvement of durability. and we made standard of reliability by weibull analysis of the field data. we acquired reliability standard by correlation with lab data and confirmed improved components satisfying the target of reliability. The analysis of reliability by field data is very useful and we need to apply this method to other components, the correlation between field data and Lab Test has influence on satisfying the target of reliability.this method would be utilized for current mass production components and upcoming developed components. the reliability of durability should be continuously used in the basis of primary technique in cope with competitive automotive companies.

• Proceedings of the Korean Nuclear Society Conference
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• 2001.05a
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• pp.113.2-113
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• 2001