• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2008년도 추계학술대회 논문집
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• pp.571-572
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• 2008

• Journal of the Korean Statistical Society
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• 제9권1호
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• pp.79-94
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• 1980

This paper illustrates the application of the Box-Jenkins techniques for analyzing the monthly data of money supply from January 196 to December 1977 of Korea.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2006년도 춘계공동학술대회
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• pp.51-56
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• 2006

Recently data mining techniques have been used for analysis and classification of data related to industrial accidents. The main objective of this study is to compare performance of algorithms for data analysis of industrial accidents and this paper provides a comparative analysis of 5 kinds of algorithms including CHAID, CART, C4.5, LR (Logistic Regression) and NN (Neural Network) with ROC chart, lift chart and response threshold. In this study, data on 67,278 accidents were analyzed to create risk groups for a number of complications, including the risk of disease and accident. The sample for this work chosen from data related to manufacturing industries during three years $(2002\sim2004)$ in korea. According to the result analysis, NN has excellent performance for data analysis and classification of industrial accidents.

• 대한산업공학회지
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• 제6권2호
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• pp.1-11
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• 1980

The purpose of this study is to attempt a systems approach to press injuries using Fault Tree Analysis. Three major techniques were used: Industrial Accident Dynamics (IAD) by which accident analysis can be made, Fault Tree Analysis (FTA) by which quantification of accident analysis can be made, Computerized Algorithm by which minimal cut set to accident can be identified. A survey has been made of ninety two cases of press injuries from seven industrial firms. All cases of the accident are analyzed using the three techniques. According to the analysis, lack of safety knowledge and improper scaffold seem to be the primal cause of accident. Comparisons of the accident causes to actual accident reports (National Institute of Labor Science) demonstrates that the FTA is a powerful tool for industrial accident prevention. On the basis of this result, some countermeasures are discussed.

• Tribology and Lubricants
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• 제14권4호
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• pp.79-87
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• 1998

Morphological analysis of wear particles in the lubricating oil is a very effective and versatile means of lubricant analysis for machine condition monitoring and fault diagnosis. The prospects for determining quantitative information about wear particle morphology have been considerably enhanced by recent developments reported in the application of image processing and analysis techniques. This study was undertaken to investigate the influence of oiliness agent and extreme pressure agent on the shape of wear particles. The wear test was performed under different experimental conditions with stearic acid, dibenzyl disulfide(DBDS) and tricresol phosphate(TCP) in paraffinic base oil. Wear particles characteristics were described using four shape parameters, namely 50% volumetric diameter, aspect, roundness and reflectivity. The results showed that the four shape parameters of wear particles depend on a kind of the additives. This analysis of wear debris with computer image processing techniques is sufficient to distinguish some types of wear debris. The wear volume of three kinds of the specimens are affected by the additives with boundary films.

• Nuclear Medicine and Molecular Imaging
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• 제42권2호
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• pp.145-152
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• 2008

Nuclear medicine imaging has an unique advantage of absolute quantitation of radioactivity concentration in body. Tracer kinetic analysis has been known as an useful investigation methods in quantitative study of in-vivo physiological function. The use of nuclear medicine imaging and kinetic analysis together can provide more useful and powerful intuition in understanding biochemical and molecular phenomena in body. There have been many development and improvement in kinetic analysis methodologies, but the conventional basic concept of kinetic analysis is still essential and required for further advanced study using new radiopharmaceuticals and hybrid molecular imaging techniques. In this paper, the basic theory of kinetic analysis and imaging techniques for suppressing noise were summarized.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1998년도 가을 학술발표회 논문집
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• pp.53-60
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• 1998

Efficiency of design process for large scale structures highly depends on the development of efficient structural analysis and structural response control algorithms because a successful design involves a number of structural analysis based on iterative structural response control process. In this paper, distributed structural analysis model on multiple personal computers connected by ethernet network is presented. To reduce communication cost required in the process of analysis, substructuring techniques are adopted to evenly distribute computational loads on each processor. With its applications on structural analysis of plane frame structures, performance of the proposed computational model are presented in detail.

• 대한공간정보학회지
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• 제2권1호
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• pp.107-119
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• 1994

현대전은 정보전쟁이라 일컫을 만큼 첨단무기를 운용하는 정보체계의 중요성이 부각되고 있다. 지형분석 기법은 전시에 매우 중요한 요소이기 때문에, 육군은 전산기에 기반을 둔 지형분석체계를 꾸준히 발달시켜 왔다. 본 논문에서는 여러 가지 지형자료를 중첩시켜 분석한 야지기동분석도를 제시하였고 이러한 분석을 통해서 평시 작계임무수행시 최적의 작전계획을 수립할 수 있는 지형정보의 자료기반구축 방법을 제시하였다

• 대한전기학회논문지:전력기술부문A
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• 제53권5호
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• pp.257-265
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• 2004

The complex documentation involved in power system analysis software require a well-defined and friendly database system. We have developed an object-oriented database management system for power system analysis, and have described load flow analysis and transient stability analysis using object-oriented database(OODB). Database management systems are widely used and achieve high reliability of data management in the engineering fields. However relational database system have shortcomings in application to power system analysis. ill relational database, the data model is too simple for modeling complex data and database languages are very different from programming languages. Object-oriented techniques are sufficiently powerful to support data-modeling requirements of GUI applications. The GUI is implemented using C++ on a MS windows platform. The OODB supports data modeling requirements of GUI applications and the performance is well acceptable for Gill applications.

• Nuclear Medicine and Molecular Imaging
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• 제41권2호
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• pp.71-77
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• 2007

Advance of neuroimaging technique has greatly influenced recent brain research field. Among various neuroimaging modalities, positron emission tomography has played a key role in molecular neuroimaging though functional MRI has taken over its role in the cognitive neuroscience. As the analysis technique for PET data is more sophisticated, the complexity of the method is more increasing. Despite the wide usage of the neuroimaging techniques, the assumption and limitation of procedures have not often been dealt with for the clinician and researchers, which might be critical for reliability and interpretation of the results. In the current paper, steps of voxel-based statistical analysis of PET including preprocessing, intensity normalization, spatial normalization, and partial volume correction will be revisited in terms of the principles and limitations. Additionally, new image analysis techniques such as surface-based PET analysis, correlational analysis and multimodal imaging by combining PET and DTI, PET and TMS or EEG will also be discussed.