• Structural Engineering and Mechanics
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• 제56권3호
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• pp.423-442
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• 2015

This study examines the wavelet transform for output-only system identification of ambient excited engineering structures with emphasis on its utilization for modal parameter estimation of high-order and closely-spaced modes. Sophisticated time-frequency resolution analysis has been carried out by employing the modified complex Morlet wavelet function for better adaption and flexibility of the time-frequency resolution to extract two closely-spaced frequencies. Furthermore, bandwidth refinement techniques such as a bandwidth resolution adaptation, a broadband filtering technique and a narrowband filtering one have been proposed in the study for the special treatments of high-order and closely-spaced modal parameter estimation. Ambient responses of a 5-story steel frame building have been used in the numerical example, using the proposed bandwidth refinement techniques, for estimating the modal parameters of the high-order and closely-spaced modes. The first five natural frequencies and damping ratios of the structure have been estimated; furthermore, the comparison among the various proposed bandwidth refinement techniques has also been examined.

• Journal of Information Technology Applications and Management
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• 제12권3호
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• pp.41-56
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• 2005

Product recommender system is one of the most popular techniques for customer relationship management. In addition, collaborative filtering (CF) has been known to be one of the most successful recommendation techniques in product recommender systems. However, CF has some limitations such as sparsity and scalability problems. This study proposes hybrid cluster analysis and case-based reasoning (CBR) to address these problems. CBR may relieve the sparsity problem because it recommends products using customer profile and transaction data, but it may still give rise to scalability problem. Thus, this study uses cluster analysis to reduce search space prior to CBR for scalability Problem. For cluster analysis, this study employs hybrid genetic and K-Means algorithms to avoid possibility of convergence in local minima of typical cluster analyses. This study also develops a Web-based prototype system to test the superiority of the proposed model.

• Journal of Contemporary Eastern Asia
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• 제17권2호
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• pp.237-253
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• 2018

In order to understand China's internet governance, this paper examined 1,931 Internet policies of China by bibliometric techniques. Specifically, the bibliometric techniques include simple document counting, co-word analysis, collaboration network analysis and citation analysis. The findings include: (1) China's Internet legislations mainly emphasized e-commerce and Internet governance, and, to some extent, neglected personal data protection; (2) China's Internet is under intensive multiple regulatory controls by central government. A large number of government agencies are involved in Internet policy-making. The Propaganda Department of the Central Committee of the Communist Party of China and the State Information Leading Group of the State Council, enforced fewer policy documents, but occupy higher positions in the Internet governance hierarchy; (3) China's Internet legislation system is primarily composed of industry-specific administrative rules, rather than laws or administrative regulations. Nevertheless, laws and administrative regulations received significantly more citations owing to their superior force. This paper also discussed current gaps in China's internet governance and how the country's internet policies are situated in the broader global context.

• 식품과학과 산업
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• 제51권1호
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• pp.16-25
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• 2018

Recently, the importance of analytical techniques related to food safety is emerging in the food industry due to changes in diet patterns, environmental changes, climate change and consumer's interest in food safety. In particular, food safety accidents in the food industry may cause economic losses such as media reports, product recalls, consumer distrust, and so on. Therefore, a systematic, proactive and comprehensive food safety management system is increasingly required to prevent food safety issues. Efforts to ensure the reliability of food safety are essential by introducing various analysis instruments such as LC, GC, ICP, LC/MS/MS, GC/MS/MS, ICP/MS, PCR, and RT-PCR. In addition, recent food safety analytical techniques used in food industry should be shifted paradigm by developing multi-component simultaneous analytical method, low cost with high efficient analytical method, and eco-friendly method.

• 한국진공학회:학술대회논문집
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• 한국진공학회 1996년도 제10회 학술발표회 논문개요집
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• pp.161-161
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• 1996

Recently, the role of the surface analysis on the development of advanced materials has become larger and larger as the surface compositions of these materials is the key of their performances. Especially three techniques, Auger electron spectroscopy, X- ray photoelectron spectroscopy and secondary ion mass spectroscopy are widely used in technology fields. However, because of the relatively short history of these techniques(thirty years or so), there has been no accumulation of data commonly available, physical parameters for analysis have not been established and there has been no standard data. With these background, the VAMAS projects which aims to standardize the manner in the field of these techniques has started in 1982 at Versailles Summit. Along the projects, we have conducted the international collaborating study on the sharing of spectral data. In 1994, the Science and Technology Agency of Japan began the project on computer network, on which our fruits from the study on spectral data sharing is boarded.(omitted)mitted)

• 한국정보통신학회논문지
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• 제16권2호
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• pp.344-349
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• 2012

본 논문에서는 디모자익킹 기술 개발에서 신규 맥매스터 영상 데이터에 대한 실험을 진행하고 그에 따른 해석 결과를 제공한다. 디모자익킹 기술 개발을 위해서 사용되는 실험 영상으로 현재까지 가장 알려져 있는 데이터는 코닥 영상이다. 하지만 최근 신규 영상 데이터가 개발됨으로써 이전과는 다른 디모자익킹 실험 결과를 보여주고 있다. 따라서, 본 논문에서는 코닥 영상과 맥매스터 영상에 대한 통계적 특성을 실험, 분석 하고 비교함으로써 신규 실험 영상이 어떤 특징을 갖는지에 대해서 해석한다. 또한 실험 결과와 해석은 맥매스터 영상이 디모자익킹 기술 개발에 실험 영상으로써 가치가 있음을 보여주며, 향후 개발될 디모자익킹 기술에 대한 기초 자료로 활용될 것으로 기대된다.

• 대한정형도수물리치료학회지
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• 제22권1호
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• pp.1-7
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• 2016

Background: The purpose of this study was to investigate the effects of lumbar stabilization exercise with neurodynamic techniques on lumbar muscular strength and Oswestry index in lumbar disc herniation patient. Method: The Lumbar stabilization exercise with neurodynamic techniques was performed by 30 pt's in G hospital. The subjects were randomly organized into a study group 15 and control group 15. The exercises and neurodynamic technique were conducted for 40 minutes and, 3 times a week (total 24 times for 8 weeks). General characteristics of the Lumbar muscular strength and Oswestry disability index (ODI) were measured before the training and at 4 weeks and 8 weeks after the intervention. Comparison of the time dependent variable for each group was Calculated by a one way repeated analysis of variance (ANOVA). Comparison between the two groups was Calculated by an analysis of covariance (ANCOVA). Result: There was a significant difference in the Lumbar muscular strength and ODI (p<.05). Similarly in the inter-group analysis, significant differences (p<.05) occurred. Conclusion: In this study, we demonstrated that lumbar stabilization exercises with neurodynamic techniques are an effective therapy for Lumbar muscular strength and ODI in lumbar disc herniation patient's.

• 한국전자통신학회논문지
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• 제18권2호
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• pp.299-304
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• 2023

인공지능 기법 중에서 딥러닝은 많은 곳에서 사용되어 효과가 입증된 모델이다. 하지만, 딥러닝 모델이 모든 곳에서 효과적으로 사용되는 것은 아니다. 이번 논문에서는 회귀분석과 딥러닝 모델의 비교를 통하여 딥러닝 모델이 가지는 한계점을 보여주고, 딥러닝 모델의 효과적인 사용을 위한 가이드를 제시하고자 한다. 추가로 딥러닝 모델의 최적화를 위해 사용되는 다양한 기법 중, 많이 사용되는 데이터 정규화와 데이터 셔플링 기법을 실제 데이터를 기반으로 비교 평가하여 딥러닝 모델의 정확성과 가치를 높이기 위한 기준을 제시하고자 한다.

• Human Ecology Research
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• 제61권1호
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• pp.53-71
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• 2023

Dressmaking is a high value-added sector of the fashion industry in which the individuality and skills of designers play a prominent role. The appropriate use of the draping and the flat pattern techniques in the dressmaking process also play an important part in perfecting the finished product. The purpose of this study was to improve the understanding of dress design and identify a pattern production technique to enhence efficiency in each of the three elements of the dress manufactureing process. For this purpose, analysis of the design of 1,389 wedding dress photographs published in Wedding 21, Korea's leading wedding magazine, during 2019 and 2020 was conducted. This analysis identified 15 bodice designs and 11 sleeve designs based on neckline and eight skirts based on silhouette which were ranked by frequency distribution. Patterns for the design of samples were then developed according to the highest combined frequency distribution of these three elements. Eight samples were finally produced to test the the efficiency of the patternmaking techniques empolyed and the selected designs. The findings from this study have practical applications, notably in improving the efficiency of pattern production techniques that will facilitate further growth in the dressmaking industry.

• Journal of Ecology and Environment
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• 제38권2호
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• pp.145-156
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• 2015

This study was based on water quality data of the Lake Doam watershed, monitored from 2010 to 2013 at eight different sites with multiple physiochemical parameters. The dataset was divided into two sub-datasets, namely, non-rainy and rainy. Principal component analysis (PCA) and factor analysis (FA) techniques were applied to evaluate seasonal correlations of water quality parameters and extract the most significant parameters influencing stream water quality. The first five principal components identified by PCA techniques explained greater than 80% of the total variance for both datasets. PCA and FA results indicated that total nitrogen, nitrate nitrogen, total phosphorus, and dissolved inorganic phosphorus were the most significant parameters under the non-rainy condition. This indicates that organic and inorganic pollutants loads in the streams can be related to discharges from point sources (domestic discharges) and non-point sources (agriculture, forest) of pollution. During the rainy period, turbidity, suspended solids, nitrate nitrogen, and dissolved inorganic phosphorus were identified as the most significant parameters. Physical parameters, suspended solids, and turbidity, are related to soil erosion and runoff from the basin. Organic and inorganic pollutants during the rainy period can be linked to decayed matters, manure, and inorganic fertilizers used in farming. Thus, the results of this study suggest that principal component analysis techniques are useful for analysis and interpretation of data and identification of pollution factors, which are valuable for understanding seasonal variations in water quality for effective management.