• Nuclear Engineering and Technology
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• v.49 no.6
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• pp.1346-1353
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• 2017

The FISPACT-II inventory simulation platform is a modern computational tool with advanced and unique capabilities. It is sufficiently flexible and efficient to make it an ideal basis around which to perform extensive simulation studies to scope a variety of responses of many materials (elements) to several different neutron irradiation scenarios. This paper briefly presents the typical outputs from these scoping studies, which have been used to compile a suite of nuclear physics materials handbooks, providing a useful and vital resource for material selection and design studies. Several different global responses are extracted from these reports, allowing for comparisons between materials and between different irradiation conditions. A new graphical output format has been developed for the FISPACT-II platform to display these "global summaries"; results for different elements are shown in a periodic table layout, allowing side-by-side comparisons. Several examples of such plots are presented and discussed.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.1013-1016
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• 2000

최근 컴퓨터의 활용이 급증함에 따라 수 많은 소프트웨어가 등장하게 되었고, 이에 따라 소프트웨어의 품질을 보증하고 향상시키기 위한 기술 개발의 필요성은 국가간 경쟁력의 증대, 급격한 기술의 발전, 품질 인식의 확산 등으로 인하여 폭발적으로 증가하고 있다. 선진국에서는 이미 품질 향상을 위한 연구를 활발히 하고 있으며, 특히 소프트웨어를 개발하고 관리하는 프로세스를 효율적으로 개선하기 위한 소프트웨어 프로세스 심사 기술을 개발하여 적극적으로 활용하고 있다. 이에 따라 소프트웨어 프로세스 개선 노력을 지원해 줄 수 있는 자동화 도구에 대한 필요가 증가하게 되어, 본 논문에서는 소프트웨어 프로세스를 개선하기 위한 절차 및 개선 프로젝트를 추적, 관리하여 소프트웨어의 품질향상을 지원할 수 있는 도구를 제안하고자 한다.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.10
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• pp.74-80
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• 2020

Crawler-type hydraulic devices facilitate forward and backward driving of construction equipment by converting power into mechanical energy. The existing hydraulic device performance test process is time- and labor-intensive. This study aims to improve efficiency and productivity by automating the hydraulic device production performance test processes, which have been separately conducted so far. We also used SolidWorksⓇ, a 3D modeling program, and ANSYSⓇ, a structural analysis tool, for structural analysis and to verify the suitability of fixing pins required for connecting a hydraulic device to performance test equipment. Our results that employing an automated hydraulic device performance test process improves efficiency.

• Korean Journal of Metals and Materials
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• v.50 no.12
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• pp.867-871
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• 2012

The microstructure and texture of TiN coatings on a Ni-based super-alloy were characterized by the automated version of electron backscatter diffraction (EBSD), EBSD techniques were used to investigate the very fine TiN grain shape and crystal orientation. This study confirmed that EBSD techniques provide a very useful tool for characterization of coating materials. The TiN grains had a special texture, a {001}-fiber texture in the coating layer. It was also found that, in severe environments, the coating performance of equiaxial and randomly oriented TiN is superior to that with columnar structures.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.875-876
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• 2009

회귀테스트(Regression Test)를 진행할 때 테스트 대상(class, function)의 숫자가 많아질수록 테스트하는데 많은 인력과 시간이 소요된다. 현재 이를 극복하기 위해서 다양한 도구가 사용되고 있다. 하지만 이러한 도구를 사용해도 테스트 데이터 생성에 대한 문제는 여전히 존재하고 있으며, 테스트 데이터 생성 문제는 회귀테스트 단계 진행에도 큰 문제점으로 나타나고 있다. 본 논문에서는 이를 해결하기 위해 가장 신뢰할 수 있는 입력 데이터인 구현단계에서 프로그래머에 의해 사용되는 데이터를 확보하고 이를 테스트 데이터로 활용하는 방법을 알아본다.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.5
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• pp.25-32
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• 1995

In highly automated milling process, in-process monitoring of the malfunction is indispensable to ensure efficient cutting operation. Among many malfunctions in milling process, chatter vibration deteriorates surface finish, tool life and productivity. In this study, the monitoring system of chatter vibration for face milling process is proposed and experimentally estimated. The monitoring system employs two types of sensor such as cutting force and acceleration in sensory detection state. The RMS value and band frequency energy of the sensor signals are extracted in time domain for the input patterns of neural network to reduce time delay in signal processing state. The resultes of experimental evaluation show that the system works well over a wide range of cutting conditions.

• Journal of the Korean Institute of Telematics and Electronics
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• v.23 no.6
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• pp.981-987
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• 1986

This paper describes the CIREX(CIRcuit EXtractor), an automated CMOS circuit extraction program which provides SPICE2 input file by computing circuit connectivity and transistor dimensions from the CIF file. The CIREX also computes parasitic capacitance and resistance which makes it a valuable tool for timing analysis and detailed circuit simulation. A lattice model is used to calculate the interconnection resistances and substrate capacitances which can be replaced, as an option, by a node model for the worst case timing analysis of the circuit.

• Journal of information and communication convergence engineering
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• v.21 no.4
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• pp.281-286
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• 2023

Diagnosing reading disorders involves complex procedures to evaluate complex cognitive processes. For an accurate diagnosis, a series of tests and evaluations by human experts are required. In this study, we propose a quantitative tool to diagnose reading disorders based on natural reading behaviors using minimal human input. The eye movements of the third- and fourth-grade students were recorded while they read a text at their own pace. Seven machine learning models were used to evaluate the gaze patterns of the words in the presented text and classify the students as normal or having a reading disorder. The accuracy of the machine learning-based diagnosis was measured using the diagnosis by human experts as the ground truth. The highest accuracy of 0.8 was achieved by the support vector machine and random forest classifiers. This result demonstrated that machine learning-based automated diagnosis could substitute for the traditional diagnosis of reading disorders and enable large-scale screening for students at an early age.

• Journal of Biomedical Engineering Research
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• v.37 no.5
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• pp.153-160
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• 2016

This study proposes an algorithm for removal of CPR artifact in order that automated external defibrillator (AED) can effectively diagnose ECG rhythm during cardiopulmonary resuscitation (CPR). Current AED required to interrupt chest compression for reliable rhythm analysis to avoid the effect of artifacts produced by CPR. However even temporarily interruption of chest compression during CPR adversely affects the probability of restoration of spontaneous circulation (ROSC) and survival after the delivery of the shock. Therefore, we proposed a method for removal of CPR artifacts using least mean square (LMS) filter. The removal of the CPR artifacts would enable compressions to continue during AED rhythm analysis, thereby increasing the likelihood of resuscitation success. It was tested on 31 segments of shockable and 300 segments of non-shockable ECG signals recorded from three pigs during CPR. In the result, sensitivity (Se) and specificity (Sp) analysis on the test segments showed values of Se = 3.2%, Sp = 66.0% and Se = 96.8%, Sp = 98.7% in the case of unfiltered and filtered signals during CPR. In conclusion, it was shown that the proposed method can be a useful tool to exactly diagnose the ECG rhythm during the CPR.

• Journal of the Korean Institute of Gas
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• v.22 no.2
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• pp.1-20
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• 2018

Despite many measures, still from time to time catastrophic events occur, even after reviewing potential scenarios with HAZID tools. Therefore, it is evident that in order to prevent such events, answering the question: "What can go wrong?" requires more enhanced HAZID tools. Recently, new system based approaches have been proposed, such as STPA (system-theoretic process analysis) and Blended Hazid, but for the time being for several reasons their availability for general use is very limited. However, by making use of available advanced software and technology, traditional HAZID tools can still be improved in degree of completeness of identifying possible hazards and in work time efficiency. The new HAZID methodology proposed here, the Data-based semi-Automatic HAZard IDentification (DAHAZID), seeks to identify possible scenarios with a semi-automated system approach. Based on the two traditional HAZID tools, Hazard Operability (HAZOP) Study and Failure Modes, Effects, and Criticality Analysis (FMECA), the new method will minimize the limitations of each method. This will occur by means of a thorough systematic preparation before the tools are applied. Rather than depending on reading drawings to obtain connectivity information of process system equipment elements, this research is generating and presenting in prepopulated work sheets linked components together with all required information and space to note HAZID results. Next, this method can be integrated with proper guidelines regarding process safer design and hazard analysis. To examine its usefulness, the method will be applied to a case study.