• Transactions of the Korean Society of Machine Tool Engineers
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• v.14 no.1
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• pp.15-23
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• 2005

For reliability assessment for machine tools, failure mode analyses by two viewpoints were studied in this paper. First, this study developed the reliability data analysis program, which searches f3r optimal failure distribution like failure rate or MTBF(Mean Time Between Failure) using failure data and reliability test data of mechanical parts in the web. Moreover, this data analysis program saves both failure data or reliability data and their failure rate or MTBF for database establishment. Second, this paper conducted failure mode analysis through such performance tests as circular movement test and vibration testing for machine tools when reliability data is not available. A developed web-based analysis program shows correlations between failure mode and performance test result and also accumulates all the data. These kinds of data analysis programs and stored data furnish valuable information for improving the reliability of mechanical system.

• Near Infrared Analysis
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• v.1 no.2
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• pp.35-39
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• 2000

The purpose of this research was to find out suitable soil sample preparation and sample holding tools for NIR reflection radiation for estimating soil components. NIR reflectance was scanned at 2nm intervals from 1,100 to 2,500nm with an InfraAlyzer 500(Bran+Luebbe Co.). Coarse(2.0mm) and fine(0.5mm) soil sample and various sample holding tools were used to obtain mean diffuse reflection of the soil for the calibration and validation of the calibration set in estimating moisture, organic matter and total nitrogen of the soils. Multiple linear regression was used to obtain the best correlation of NIR spectroscopy method. Correlation of NIR spectroscopy method. Correlation of NIR spectra for finely and coarsely sized soil did not show much difference. The standard errors of prediction(SE) using different types of sample holding tools for organic matter, total nitrogen and soil moisture were better than 0.765, 0.041 and 0.63% respectively. From the results it can be concluded that NIR spectroscopy with flow type cell could be used as a fast routine testing method in quantitative determination of organic matter, total nitrogen and soil moisture.

• Journal of Agricultural Extension & Community Development
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• v.23 no.3
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• pp.221-232
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• 2016

This study aims to improve the Korean Farmers' Occupational Disease and Injury Survey (KFODIS), using the questionnaire improvement model, and systematic appraisal tools. The questionnaire improvement model comprises three stages: pretesting, redesign, and field-testing. The survey was evaluated by 13 expert reviewers, using a modified version of the Questionnaire Appraisal System (QAS-99). Based on the results of pretesting, survey questions were modified at a group meeting of experts. To identify potential issues with the improved survey questions, data were collected from 20 interviews and 31 respondents before behavior coding analysis was conducted. The questionnaire improvement model and systematic appraisal tools were useful in identifying, evaluating, and correcting miscommunication and other similar issues in the KFODIS.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.3 no.1
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• pp.63-68
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• 2002

In this paper harmonic diagnose tool is described for electric evaluate the power quality at industrial power systems is described both simulation and experimental testing during various operation conditions. PTW (Power Tools for Windows) and harmonic measuring instrument are organized around personal computer and/or instrumentation study environments interconnected via RS-232. Unknown zero sequence impedance data of cable is calculated by the modified T&D and BICC method. IEEE standard is also used to estimate the transformer input data. the proposed system provides a flexible and effective environment to diagnose the power quality at industrial distribution systems by utilizing simulations and actual field data.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.32-42
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• 2023

There are serious problems worldwide, such as a pandemic due to an unprecedented infection caused by COVID-19. On previous approaches, they invented medical vaccines and preemptive testing tools for medical engineering. However, it is difficult to access poor medical systems and medical institutions due to disparities between countries and regions. In advanced nations, the damage was even greater due to high medical and examination costs because they did not go to the hospital. Therefore, from a software engineering-based perspective, we propose a learning model for determining coronavirus infection through symptom data-based software prediction models and tools. After a comparative analysis of various models (decision tree, Naive Bayes, KNN, multi-perceptron neural network), we decide to choose an appropriate decision tree model. Due to a lack of data, additional survey data and overseas symptom data are applied and built into the judgment model. To protect from thiswe also adapt human normalization approach with traditional Korean medicin approach. We expect to be possible to determine coronavirus, flu, allergy, and cold without medical examination and diagnosis tools through data collection and analysis by applying decision trees.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.107-114
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• 2023

Successful implementations of DevOps practices significantly improvise software efficiency, collaboration and security. Most of the organizations are adopting DevOps for faster and quality software delivery. DevOps brings development and operation teams together to overcome all kind of communication gaps responsible for software failures. It relies on different sets of alternative tools to automate the tasks of continuous integration, testing, delivery, deployment and monitoring. Although DevOps is followed for being very reliable and responsible environment for quality software delivery yet it lacks many quantifiable aspects to prove it on the top of other traditional and agile development methods. This research evaluates quantitative performance of DevOps and traditional/ agile development methods based on software metrics. This research includes three sample projects or code repositories to quantify the results and for DevOps integrated selective tool chain; current research considers our earlier proposed and implemented DevOps hybrid model of integrated automation tools. For result discussion and validation, tabular and graphical comparisons have also been included to retrieve best performer model. This comparative and evaluative research will be of much advantage to our young researchers/ students to get well versed with automotive environment of DevOps, latest emerging buzzword of development industries.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1239-1243
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• 2010

The web environment is evolving rapidly. Testing in the web based software is an essential process to improve stability and productivity. Testing of complex web contents and ill(user interface) is most important thing. Implemented test cases are efficient when they are automated and reusable. But, most of the testing automation tools are focused on technical accessibility and functions still. A collaboration of the persons concerned and reusability of implemented test case are ignored. In this paper we propose an efficient way to design automated test case in web environment, and to share and pattern automated test cases we introduce testing framework called NTAF(NHN Test Automation Framework.). The NTAF is based on open source framework. It provides integrated testing environment that web testing cane be automated and managed continuously.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.4
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• pp.3-11
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• 2004

The XML has been becoming a basis of the related application and industry standards with proliferation of electronic transactions on the web, and the standardization on XML Signature, which can be applied to the digital contents including XML objects from one or more sources, is in the progress through a joint effort of W3C(World Wide Web Consortium) and IETF(Internet Engineering Task Force). Along with this trend, the development of products implementing XML Signature has been growing, and the XML Signature products are required to implement the relevant standards correctly to guarantee the interoperability among different XML Signature products. In this paper, we propose a conformance testing method for testing the XML Signature products, which includes a testing procedure and test cases. The test cases were obtained through analysis of XML Signature standards. Finally we describe the design and uses of our XML Signature conformance testing tools which implements our testing method.

• Journal of the Korean Society for Nondestructive Testing
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• v.11 no.1
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• pp.31-37
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• 1991

Acoustic emission(AE) signals detected during metal cutting were applied as the experimental test to sensing tool wear and chipping on the NC vertical milling machine. The in-process detection of cutting tool wear including chipping, cracking and fracture has been investigated by means of AE in spite of vibration or noise through intermittent metal cutting, then the following results were obtained 1) When the tool wear is increased suddenly, or the amplitude of AE signals changes largely, it indicates chipping or breaking of the insert tip. 2) It was confirmed that AE signal is highly sensitive to the cutting speed and tool wear. 3) At the early period of cutting, the wear were large and RMS value increased highly by the influence of minute chipping and cracking, etc. Therefore, the above situations should be considered for the time when the tool would be changed.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.9
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• pp.908-915
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• 2011

As the requirement of user for robot functionality, the function and interface for controlling the robot system is more sophisticated and complicated. Accordingly development process of robot is more complicated and it takes much longer time to develop a robot system. Software development using project management tool is more important in software engineering because of the complexity of software, especially robot system. This paper proposes SEED (Software Engineering Equipment for Development), which is a web-based and integrated software engineering tool to provide independent tools for robot software development. SEED includes the document management tool, the software configuration management tool, the software testing tool on developing robot software and provide a functionality of collaborated and remote development due to WEB-based operations.