• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.341-342
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• 2006

This study is concerned about the development of tower type automatic tool changer. The tower type automatic tool changer is developed to reduce stand-by time by shortening tool change time. The developed system can store more number of tools in small space. A structural analysis for the machine is carried out to check the machine design using commercial software, CATIA V5. In the result of structural analysis, the safety of the developed system is confirmed.

• 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.

• Interdisciplinary Bio Central
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• v.1 no.1
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• pp.5.1-5.4
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• 2009

This article is an addendum to the authors’ previous article (Kim, J. et al. (2008) Plant Cell 20, 307-319). The instrumentation and software described in this article were used to analyze the circadian leaf movement in the previous article. Here, we provide detailed and practical information on the instrumentation and the software. The source code of the LMA program is freely available from the authors. The circadian clock regulates a wide range of cyclic physiological responses with a 24 hour period in most organisms. Rhythmic leaf movement in plants is a typical robust manifestation of rhythms controlled by the circadian clock and has been used to monitor endogenous circadian clock activity. Here, we introduce a relatively easy, inexpensive, and simple approach for measuring leaf movement circadian rhythms using a USB-based web camera, public domain software and a Leaf Movement Assay (LMA) program. The LMA program is a semi-automated tool that enables the user to measure leaf lengths of individual Arabidopsis seedlings from a set of time-series images and generates a wave-form output for leaf rhythm. This is a useful and convenient tool for monitoring the status of a plant's circadian clock without an expensive commercial instrumentation and software.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.363-369
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• 2024

In this paper, we develope a LOB(Limit Order Book) analyzing tool for an automated trading system, which features real-time and offline analysis of LOB data in conjunction with execution data. The 10-tier LOB data analyzer developed in this paper, which contains ask/bid prices and the execution data, receivs transaction requests in real-time from the Kiwoom Open API+ server. In the OnReceiveTrData event, the transaction data from the server is received and processed. The real-time data, triggered by the transaction, is received and processed in the OnReceiveRealData event. These two types of data are stored in a database and replayed in the same way as if it were a real-time situation in simulation mode. The LOB data are selectively read and analyzed in a necessary time points. The tool provides various features such as bar chart analysis and pattern analysis of the total shares on the bid side and ask side, which are used to develop a tool to accurately determine the timing of stock trading.

• Steel and Composite Structures
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• v.51 no.2
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• pp.127-138
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• 2024

In this paper, structural behavior under fire conditions is comprehensively examined, and a novel software interface for testing interfaces efficiently is developed and validated. In order to accurately assess the response of structures to fire scenarios, advanced simulation techniques and modeling approaches are incorporated into the study. This interface enables accurate heat transfer analysis and thermo-mechanical simulations by integrating software tools such as CSI ETABS, CSI SAP2000, and OpenSees. Heat transfer models can be automatically generated, simulation outputs processed, and structural responses interpreted under a variety of fire scenarios using the proposed technique. As a result of rigorous testing and validation against established methods, including Cardington tests on scales and hybrid simulation approaches, the software interface has been proven to be effective and accurate. The analysis process is streamlined by this interface, providing engineers and researchers with a robust tool for assessing structural performance under fire conditions.

• Journal of the Korean Society of Systems Engineering
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• v.14 no.2
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• pp.83-88
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• 2018

Software has become an integral part of almost any system, triggered by the ever-growing demand for automation and artificial intelligent throughout engineering domains. The complexities of software-centric systems are also increasing, which make software test efforts become essential in software development projects. In this study, we applied systems engineering methodology in generating software test cases. We found out the similarities between requirements analysis and traceability concept of systems engineering and test specification contents of software test. In terms of acceptance test, software test cases could be considered as validation requirements. We also suggested a method to determine test order using a SysML modeling tool.

• The Korean Journal of Applied Statistics
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• v.20 no.3
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• pp.619-634
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• 2007

It is well known that graphical display is critical to data analysis. A lot of research for data visualization has been done, so many effective graphical tools are now available. With the proper use of these graphical tools, we can penetrate the complex structure of data set easily. To enjoy the benefit of the powerful graphical display, the choice of the statistical software is very crucial. R is a popular open source software tool for statistical analysis and graphics, and can provide the very powerful graphics facilities. Moreover, many researchers believe that R is the best software for statistical graphics. In this paper, we would like to discuss what we teach and how we teach in statistical graphics course using R.

• Journal of the Korean Institute of Telematics and Electronics
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• v.27 no.4
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• pp.620-627
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• 1990

A software tool implementing cascaded SCF (Switched Capacitor Filter) is developed. A comprehensive procedure is described for the design of cascaded SCF, and some design considerations are discussed. In program several user-selectable filter approximation techniques, and two optimising methods which reduce the total capacitance are included. Analysis of the partial positive feedback and the effect of clock frequency to total capacitance are presented in detail. Two pratical examples are given to prove its validity in reducing the total capacitance. Developed tool can be used for general SCF generator.

• Asia pacific journal of information systems
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• v.2 no.2
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• pp.15-30
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• 1992

Computer-Aided Software Engineering or CASE is the technology for automating the software development and maintenance process. Many firms are turning to CASE in hopes of realizing improvement in productivity and system quality. Although expenditures on CASE were reported to be rapidly rising, the performance gains have been very difficult to measure. The empirical results in this article are intended to provide some evidence about (1) the major objective of using CASE, (2) the gains from CASE, (3) the difference in productivity among CASE tools. They are based on an analysis of data collected from 61 software engineers from five corporations who have the experience of using CASE.

• Journal of Environmental Health Sciences
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• v.30 no.2
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• pp.108-114
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• 2004

Observation of microorganisms collected from contaminated soils has been mainly conducted by using microscopy. Microscopic measurement is occupied an important part of the microorganism experiment, and is used as an important tool to count microorganisms as well as to observe cellular form and mode of life in the field of soil microbe observation. In general, observation equipments for soil microbes consist of electron microscope, camera, frame grabber (image acquisition baud), and image analysis software. Because image analysis software should be linked with frame grabber most equipments have to be imported as the package form. Therefore, the observation system is very expensive and difficult to be operated. In this study, soil microbes＇ observation equipment with the vision system which is easy operated and cheaper than imported one was developed and tested. The efficiency of image capturing and data aquisition with developed frame grabber and software in this experiment was good enough to analyze the image of soil microorganism.