• 한국통신학회논문지
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• 제27권3B호
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• pp.267-274
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• 2002

본 논문에서는 SLM(TFT LCD)과 광굴절 결정을 이용하며 실시간으로 처리할 수 있는 칼라 패턴인식 시스템을 구현하였다. 이 시스템은 인식하고자 하는 문자패턴을 SLM을 이용하여 제어하고, 우수한 각도 선택성과 광굴절 특성을 갖는 LiNbO$_3$(두께 10mm) 결정을 기록 매질로 사용하였다. 제안된 광학 시스템에 의해 빨간색과 녹색 칼라 패턴의 모양 정보와 칼라 정보를 각각 다른 위치에서 실시간 처리로 확연히 판별해서 인식할 수 있었다.

• 정보과학회지
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• 제18권8호
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• pp.78-89
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• 2000

Today's computers are built up from a minimal set of standard pattern recognition operations. Logic gates, such as NAND, are common examples. Biomolecular materials offer an alternative approach, both in terms of variety and context sensitivity. Enzymes, the basic switching elements in biological cells, are notable for their ability to discriminate specific molecules in a complex background and to do so in a manner that is sensitive to particular milieu features and indifferent to others, The enzyme, in effect, is a powerful context sensitivity pattern processor that in a rough way can be analogized to a neuron whose input-output behavior is controlled by enzymatic dynamics.

• 한국환경교육학회지:환경교육
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• 제11권1호
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• pp.165-180
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• 1998

The purpose of this study is to investigate how much people recognise and participate in wastes recycling and to give suggestions for systematic environmental education on the recycling. Subject's recognition degree on recycling mark which had been established by The Ministry of Environment in 1995 was very low and the recycling mark should be educated because it would help people consider the environmental factor when purchase goods which are recyclable or not. They acknowledged simple recycling methods of recyclable goods much but not the complex methods of them. So they need the systematic education on recycling method through which continuous participation of them would be arisen. In the while there is no mention about recycling mark in textbooks which are currently used in Korean elementary schools, middle schools and high schools. Not only the mark but also any kind of environmental information should be updated in environmental textbooks/learning materials to cultivate students environmental literacy to meet current environmental issues dynamically and solve environmental problems in the future successfully.

• 국제초고층학회논문집
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• 제9권4호
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• pp.335-342
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• 2020

This article comes up with a new method which is based on the visual characteristic of the objects and machine learning technology to achieve semi-automated recognition of the personnel, machine & materials of the construction sites. Balancing the real-time performance and accuracy, using Faster RCNN (Faster Region-based Convolutional Neural Networks) with transfer learning method appears to be a rational choice. After fine-tuning an ImageNet pre-trained Faster RCNN and testing with it, the result shows that the precision ratio (mAP) has so far reached 67.62%, while the recall ratio (AR) has reached 56.23%. In other word, this recognizing method has achieved rational performance. Further inference with the video of the construction of Huoshenshan Hospital also indicates preliminary success.

• Bulletin of the Korean Chemical Society
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• 제27권11호
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• pp.1775-1779
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• 2006

A liquid chromatographic chiral stationary phase (CSP) based on (+)-(18-crown-6)-2,3,11,12-tetracarboxilic acid without extra free aminopropyl groups on silica surface has been demonstrated to be quite effective for the resolution of various $\beta$-amino acids. The retention factors ($k_1$) for the resolution of $\beta$-amino acids on the CSP were quite large and the large retention factors might be quite attractive along with the reasonable separation factors ($\alpha$) for preparative scale enantioselective chromatography. The large retention factors on the CSP were found to be reduced effectively by adding ammonium ion to mobile phase without sacrificing the chiral recognition efficiency of the CSP. Consequently, the CSP is also quite applicable for use in analytical enantioselective chromatography.

• 아동학회지
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• 제28권3호
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• pp.163-173
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• 2007

This study analyzed ecological elements of 140 nursery rhymes, stories, and plays in the $6^{th}$ edition of the Guide for Educational Activities and Materials for Kindergarten. The results show that 24 works(17.1%) have ecological elements. Content analysis of ecological elements in these works show works that deal with the side effects of environmental development(3 nursery stories), the cult of nature(1 nursery rhyme), recognition of the eco-cycle(2 nursery rhymes, 4 stories, 2 plays), dignity of life and recovery of human nature(12 nursery stories). On the basis of the results, children's literature containing ecological elements were suggested.

• Applied Microscopy
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• 제48권1호
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• pp.6-10
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• 2018

Cryo-electron microscopy (cryo-EM) allows the analysis of the near-native structures of samples such as proteins, viruses, and sub-cellular organelles at the sub-nano scale. With the recent development of analytical methods, this technique has achieved remarkable results. The importance of cryo-EM gained wide recognition due to last year's award of the Nobel Prize in Chemistry. To help promote the knowledge of this technique, this paper introduces the basic workflows of cryo-EM and domestic cryo-EM service institutes.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2002년도 봄 학술발표회 논문집
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• pp.545-550
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• 2002

Concrete is one of the essential structural materials in the construction. But, concrete consists of many materials and is affected by many factors such as properties of materials, site environmental situations, and skill of constructor. Therefore, concrete mixes depend on experiences of experts. However, it is more and more difficult to determine concrete mixes design by empirical means because more ingredients like mineral and chemical admixtures are included. Artificial Neural Networks(ANN) are a mimic models of human brain to solve a complex nonlinear problem. They are powerful pattern recognizers and classifiers, also their computing abilities have been proven in the fields of prediction, estimation and pattern recognition. Here, among them, the back propagation network and radial basis function network are used. Compositions of high-performance concrete mixes are eight components(water, cement, fine aggregate, coarse aggregate, fly ash, silica fume, superplasticizer and air-entrainer). Compressive strength and slump are measured. The results show that neural networks are proper tools to minimize the uncertainties of the design of concrete mixtures.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2001년도 춘계학술대회논문집
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• pp.318-322
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• 2001

This paper deals with sensing ability of smart sensor that has a sensing ability to distinguish materials according to surface types of smart sensor. We have developed a new signal processing method that can distinguish among different materials. The smart sensor was developed for recognition of materials. We made two types of smart sensors in our experiment. Then, we estimated the ability to recognize objects according to smart sensor type. We estimated the sensing ability of smart sensor with the $R_{SAI}$ method. Experiments and analysis were executed to estimate the ability to recognize objects according to surface types of smart sensor. Sensing ability of smart sensors was evaluated relatively through a new $R_{SAI}$ method. Applications of smart sensors are for finding abnormal conditions of objects (auto-manufacturing), feeling of objects (medical product), robotics, safety diagnosis of structure, etc.etc.

• Journal of Magnetics
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• 제8권1호
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• pp.50-59
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• 2003

Spatial light modulators (SLMs) are centrally important devices in volumetric recording, data Processing, Pattern recognition and other optical systems. Various types of reusable SLMs with two-dimensional pixel arrays have been intensively developed. Of these, magneto-optic spatial light modulators (MOSLMs) have advantages of high switching speed, robustness, nonvolatility, and radioactive resistance. In this article, we review recent development work on MOSLMs, mainly in relation to our own studies.