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Development of Qualitative Evaluation of Medical Radiation Protective Apron (의료 방사선 방호용 앞치마의 정성적 평가법 개발)

  • Lim, Hui-Gyeom;Kim, Sang-Hyun;Kim, Tae-Hyung;So, Woon Young;Lee, Tae Hui;Kim, Seung Chul;Kim, Jin-Tae
    • Journal of radiological science and technology
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    • v.40 no.3
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    • pp.453-460
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    • 2017
  • This study proposes effective quality control and maintenance method by developing a new qualitative evaluation method of apron for medical radiation protection. As an experimental material, one of 0.45 mm lead and 100 of 0.45 mm Pb aprons were used and irradiated under the conditions of a tube voltage of 75 kVp and a tube current of 12.5 mAs to obtain an image. and using the Image J program, PSNR values were compared and analyzed. The results showed that there were 40 aprons (less than 11dB), 55 aprons (less than 11dB, less than 30dB), and 5 aprons (30dB or more). In addition, the dose showed a normal distribution for the apron, and 5 aprons with PSNR less than 11dB and 30dB or more were selected and divided into 8 zones, and these groups were statistically significant.

Implications from Analysis on the U. K. Household Division (영국 왕실근위대 분석을 통한 국내 시사점 연구)

  • Bang, Whan-Bog
    • Korean Security Journal
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    • no.39
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    • pp.7-35
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    • 2014
  • The objective of this research is to find out what the Korean traditional changing of SooMunJang and the United Kingdom's ceremony of changing the guard suggests us by performing comparative analysis as well as research of the United Kingdom Household Division's history of transition, organization, and their missions since 1660. The Royal Household is a constitutional monarchy and served by the Household Division for 350 years as a symbol of the United Kingdom. The Household Division is a regular army that is affiliated to British Army. The Guards Division consists of two cavalry regiments and five infantry regiments along with the King's Troop, Royal Horse Artillery. The Household Division not only escorts the king, guards royal palace, and attends a official function, but also dispatched to a combat area as the most elite troops. Similarities in aspect of king escort, palace guard, and succession of tradition were found from the comparison between Korean and the United Kingdom's changing of the guard. On the other hand, fundamental purpose and objective, process of forming a tourist attraction, organization were distinctive. While the Household Division and the Royal Household became a worldwide symbol of the United Kingdom, Korean changing of SooMunJang is insufficient to represent Korean traditional royal guard custom and just reenacting historical tradition to emphasize the succession of tradition and to develop tourism. Therefore, this research is suggesting methods to improve the cultural contents of distinctive Korean traditional royal guard and escort of royal family.

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Interactive Statistics Laboratory using R and Sage (R을 활용한 '대화형 통계학 입문 실습실' 개발과 활용)

  • Lee, Sang-Gu;Lee, Geung-Hee;Choi, Yong-Seok;Lee, Jae Hwa;Lee, Jenny Jyoung
    • Communications of Mathematical Education
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    • v.29 no.4
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    • pp.573-588
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    • 2015
  • In this paper, we introduce development process and application of a simple and effective model of a statistics laboratory using open source software R, one of leading language and environment for statistical computing and graphics. This model consists of HTML files, including Sage cells, video lectures and enough internet resources. Users do not have to install statistical softwares to run their code. Clicking 'evaluate' button in the web page displays the result that is calculated through cloud-computing environment. Hence, with any type of mobile equipment and internet, learners can freely practice statistical concepts and theorems via various examples with sample R (or Sage) codes which were given, while instructors can easily design and modify it for his/her lectures, only gathering many existing resources and editing HTML file. This will be a resonable model of laboratory for studying statistics. This model with bunch of provided materials will reduce the time and effort needed for R-beginners to be acquainted with and understand R language and also stimulate beginners' interest in statistics. We introduce this interactive statistical laboratory as an useful model for beginners to learn basic statistical concepts and R.

Research Trend Analysis for Fault Detection Methods Using Machine Learning (머신러닝을 사용한 단층 탐지 기술 연구 동향 분석)

  • Bae, Wooram;Ha, Wansoo
    • Economic and Environmental Geology
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    • v.53 no.4
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    • pp.479-489
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    • 2020
  • A fault is a geological structure that can be a migration path or a cap rock of hydrocarbon such as oil and gas, formed from source rock. The fault is one of the main targets of seismic exploration to find reservoirs in which hydrocarbon have accumulated. However, conventional fault detection methods using lateral discontinuity in seismic data such as semblance, coherence, variance, gradient magnitude and fault likelihood, have problem that professional interpreters have to invest lots of time and computational costs. Therefore, many researchers are conducting various studies to save computational costs and time for fault interpretation, and machine learning technologies attracted attention recently. Among various machine learning technologies, many researchers are conducting fault interpretation studies using the support vector machine, multi-layer perceptron, deep neural networks and convolutional neural networks algorithms. Especially, researchers use not only their own convolution networks but also proven networks in image processing to predict fault locations and fault information such as strike and dip. In this paper, by investigating and analyzing these studies, we found that the convolutional neural networks based on the U-Net from image processing is the most effective one for fault detection and interpretation. Further studies can expect better results from fault detection and interpretation using the convolutional neural networks along with transfer learning and data augmentation.

Effect of women consumers purchase by an attribute of cosmetic Advertising Model (화장품 광고 모델의 속성이 여성 소비자의 구매욕구에 미치는 영향)

  • 강인숙
    • Archives of design research
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    • v.14 no.3
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    • pp.37-48
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    • 2001
  • This paper is a study on how women consumers purchase are affected by models who appear in advertisements for cosmetics, focusing especially on studies concerning the impact that models have on advertisement strategies of the cosmetic industry in korea. In surveys conducted, consumers responded that cosmetic advertisement models should examplify a expertness and trustworthiness attitude more than just display their own physical attractiveness. The consumers who bought cosmetic products based on its endorsement from particular models responded that they had a positive reaction to the models physical attractiveness and likability while experiencing a negative reaction to the model's expertness and trustworthiness attitude. Women consumers are interested in cosmetic advertisement models, but do not necessarily trust them. Hence, the use of a Particular model does not directly affect the consumers Purchasing decision. Famous stars often appear in cosmetic advertisements in korea, and targeted consumers have a very positive response to their physical attractiveness, familiarity and perceived likability. However, the consumers have a completely negative response to the models in regards to their expertness, trustworthiness, and their sense of similarity with the model. The models, then, should be used in these advertisements to try and uphold the fellowing qualities. expertness in regards to having some knowledge of, experience with, and expertness in using the cosmetic produces, trustworthiness when expressing their own opinion of the product, matching image of products and targeted consumers.

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A Fashion Design Recommender Agent System using Collaborative Filtering and Sensibilities related to Textile Design Factors (텍스타일 기반의 협력적 필터링 기술과 디자인 요소에 따른 감성 분석을 이용한 패션 디자인 추천 에이전트 시스템)

  • 정경용;나영주;이정현
    • Journal of KIISE:Computing Practices and Letters
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    • v.10 no.2
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    • pp.174-188
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    • 2004
  • In the life environment changed with not only the quality and the price of the products but also the material abundance, it is the most crucial factor for the strategy of product sales to investigate consumer's sensibility and preference degree. In this perspective, it is necessary to design and merchandise the products in cope with each consumer's sensibility and needs as well as its functional aspects. In this paper, we propose the Fashion Design Recommender Agent System (FDRAS-pro) for textile design applying collaborative filtering personalization technique as one of the methods of material development centered on consumer's sensibility and preference. For a collaborative filtering system based on textile, Representative-Attribute Neighborhood is adopted to determine the number or neighbors that will be used for preferences estimation. Pearson's Correlation Coefficient is used to calculate similarity weights among users. We build a database founded on the sensibility adjectives to develop textile designs by extracting the representative sensibility adjectives from users' sensibility and preferences about textile designs. FDRAS-pro recommends textile designs to a customer who has a similar propensity about textile. To investigate the sensibility and emotion according to the effect of design factors, fertile designs were analyzed in terms of 9 design factors, such as, motif source, motif-background ratio, motif variation, motif interpretation, motif arrangement, motif articulation, hue contrast, value contrast, chroma contrast. Finally, we plan to conduct empirical applications to verify the adequacy and the validity of our system.

Flame Interaction with Shear Layer Flow in the Post Chamber of Hybrid Rocket (하이브리드 로켓 후연소실 전단유동과 연소반응의 상호 간섭)

  • Moon, Young Joo;Lee, Changjin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.44 no.7
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    • pp.585-592
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    • 2016
  • Visualization was done by using $CH^*$ chemiluminescence images and PMT measurements in order to understand the origin of fluctuating pressure and chemical luminosity at about 500 Hz frequency even in stable combustion, which was observed in recent experimental tests, and to find the physical correlation leading to Low Frequency Instability(LFI) in terms of phase angle. In stable combustion, chemical reactions are distributed along the shear layer flow showing a negative coupling(about 180 degree in phase angle) with combustion pressure. However, phase difference is shifted to a positive coupling showing less than 90 degree in unstable case. Also a periodic change in the distribution of chemical reactions is observed along with local flame extinction and the appearance of big scale vortex flow. In the transition to LFI, local flame extinction and small vortex flow start to appear in a row. As seen in the bluff body wake in reactive flow, the periodic appearance of vortex flow seems to share the same physical process of BVK(Bernard Von Karman) instability generation. Thus, the appearance of local extinction in 500 Hz fluctuations is gradually amplified to complete extinctions of about 20 Hz, and it leads into LFI.

Experimental Study on Dilution Effect of Exhaust Gas in SNG Combustion on a Model Gas Turbine (가스터빈에서 SNG 연료 조성에 대한 희석제의 배기배출물 저감효과에 대한 실험적 연구)

  • Joo, Seongpil;Yoon, Jisu;Kim, Jeongjin;Kim, Seongheon;Yoon, Youngbin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.44 no.7
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    • pp.603-610
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    • 2016
  • This paper describes experimental results about emission and NOx reduction of dilution effect (Nitrogen and carbon dioxide) about various fuel compositions of synthetic natural gas (SNG). Combustion experiment was performed to investigate the combustion characteristics for SNG with various hydrogen ratio in SNG, heat input and equivalence ratio in a partially premixed model gas turbine combustor. NOx emission was similar to each hydrogen ratio and flame characteristics was investigated from OH chemiluminescence images. There was a singularity of CO emission in stoichiometric condition and it can be identified using OH chemiluminescence intensity. In addition, dilution effect was studied in using nitrogen and carbon dioxide as diluent to reduce the NOx emission. Carbon dioxide diluent was more effective to NOx reduction than nitrogen diluent because of its high diluent specific heat and its heat capacity.

당류산업

  • 임재각
    • Food Industry
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    • s.181
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    • pp.38-67
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    • 2004
  • 예로부터 인간은 단맛에 강한 욕구를 가지고 있었다. 따라서 설탕, 포도당, 과당 등 단맛이 강한 감미료를 선호하여 왔고, 현재까지도 식품 제조시 가장 널리 사용되고 있다. 그러나 최근에는 국민의 건강에 대한 관심이 고조 되고 설탕으로 대표되는 전통적인 일반 감미료의 충치, 비만, 당뇨병 유발 등의 부정적인 측면이 부각되고 있을 뿐만 아니라, 식품에 대한 건강 기능성이 강조되면서 기능성 감미료가 주목 받고 있다. 특히 고도의 경제성장 및 국민 소득의 향상에 따라 차별화된 기능성 감미료의 생산을 요구하는 실정이다. 이와 관련하여, 현재 식품 산업계에서는 올리고당류, 당알콜류, 고감미 감미료류 등에 많은 관심을 가지고 연구 개발에 집중하고 있다. 올리고당류의 대표적인 제품은 프락토올리고당, 갈락토올리고당, 이소말토올리고당 등이다. 현재 올리고단 시장은 성숙기로서 성장속도가 둔화되고 있으나, 최근 American Association of Cereal Chemists(AACC)등 세계적인 협회에서 수용성 식이섬유를 다당류, 올리고당, 리그닌 등을 포함하여 새롭게 정의하였고 이에 따라 해외에서는 프락토올리고당을 중심으로 수용성 식이섬유로 용도 사용이 가능하게 되었을 뿐만 아니라, 식이섬유로 표기도 가능하게 되어 수요가 증가할 것으로 예상된다. 국내에서는 아직 올리고당을 식이섬유로 사용하지는 못하고 있으나, 식품 공전 개정을 통해 식이섬유로 표기 가능하도록 수정될 전망이다. 당알콜류는 솔비톨 및 자일리톨이 주류를 이루고 있다. 솔비톨은 시장에 가장 먼저 소개된 당알콜류인데 저가여서 그동안 가장 큰 시장을 형성하고 있었으나 최근 3년 동안 자일리톨껌이 최대의 히트 상품이 되면서 자일리톨이 급성장하였다. 그 외에는 만니톨, 에리스리톨, 말티톨, 이소말트 등이 있다. 최근에는 말티톨을 중심으로 다양한 응용 연구 및 이소말트 및 에리스리톨 등을 생산 판매하고 있는 다국적 기업의 판촉 활동 등으로 당알콜류 시장의 새로운 변화가 예상된다. 고감미 감미료류는 스테비오사이드와 아스파탐이 주류를 이루고 있었지만, 최근 아세설팜 K 및 수크랄로스가 잇따라 식품으로써 사용 허가를 받으면서 시장이 재편되고 있다. 하지만, 해외에 비하여 국내의 고감미 감미료 시장은 매우 작고 성장률도 낮은 편인데 그 이유로는 국민 정서상 천연이 아닌 합성에 대한 부정적 인식과 맛에 대한 거부감 때문인 것으로 생각된다. 이와 관련하여 최근에는 다양한 감미질 및 Multi sweetener system 연구를 통해 설탕과 유사한 맛을 내는 혼합 기술 개발에 관한 연구가 진행되고 있다. 따라서 향후에는 해외의 선진국과 같이 고감미 감미료 시장도 점차적으로 확대될 것으로 예상된다. 기타 대체 감미료로는 타가토스, 트레할로스, 아라비노스 등이 있다. 이중에서 특히 해외에서 크게 기대를 모으고 있는 타가토스는 최근 국내 인증을 받아 시장 진출을 준비 중에 있다. 아라비노스는 양질의 감미를 갖는 천연 펜토오스인데 연구용 시약 이외에는 지금까지 거의 이용되지 않았다. 그러나 최근 아라비노스가 설탕의 소화흡수를 선택적으로 억제한다는 흥미 있는 결과가 임상 및 동물실험에서 확인되어 향후 제품으로써 개발을 기대할 수 있게 되었다. 이들 감미료는 기존 설탕이 가지는 문제점을 많은 부분 극복할 것으로 여겨지며, 이로 인해 수요는 점차 증가할 것으로 생각되며, 높은 경제적 부가 가치를 창출할 것으로 예상되어 진다. 생산 기술 적인 측면에서 건강 지향적 천연소재 감미료에 대한 선호가 날로 증가하는 추세에 따라 기존에 주로 사용되었던 화학합성법보다는 천연 이미지의 생물공학적인 방법에 의한 감미료 생산이 각광을 받을 것으로 예상된다. 생물공학적인 방법을 감미료 소재 개발에 응용하게 되면, 기존에 사용되었던 화학합성법 등이 가지는 환경적인 문제, 반응 부산물 생성에 따른 분리, 정제에서의 비용증가 등의 문제점을 해결할 수 있을 것으로 여겨지며, 고정화 방법의 도입 등을 통해 생산성 향상을 도모할 수 있다. 본 장에서는 감미료 소재 개발에 건강 지향적 국민 정서를 반영하고, 국내외 감미료 시장의 흐름을 파악하여 당류 산업의 발전적인 변화에 대처하고자 하였으며, 이를 통해 당류산업의 고부가가치 첨단산업으로서의 육성방안을 논의하고자 하였다.

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A Study on Person Re-Identification System using Enhanced RNN (확장된 RNN을 활용한 사람재인식 시스템에 관한 연구)

  • Choi, Seok-Gyu;Xu, Wenjie
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.2
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    • pp.15-23
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    • 2017
  • The person Re-identification is the most challenging part of computer vision due to the significant changes in human pose and background clutter with occlusions. The picture from non-overlapping cameras enhance the difficulty to distinguish some person from the other. To reach a better performance match, most methods use feature selection and distance metrics separately to get discriminative representations and proper distance to describe the similarity between person and kind of ignoring some significant features. This situation has encouraged us to consider a novel method to deal with this problem. In this paper, we proposed an enhanced recurrent neural network with three-tier hierarchical network for person re-identification. Specifically, the proposed recurrent neural network (RNN) model contain an iterative expectation maximum (EM) algorithm and three-tier Hierarchical network to jointly learn both the discriminative features and metrics distance. The iterative EM algorithm can fully use of the feature extraction ability of convolutional neural network (CNN) which is in series before the RNN. By unsupervised learning, the EM framework can change the labels of the patches and train larger datasets. Through the three-tier hierarchical network, the convolutional neural network, recurrent network and pooling layer can jointly be a feature extractor to better train the network. The experimental result shows that comparing with other researchers' approaches in this field, this method also can get a competitive accuracy. The influence of different component of this method will be analyzed and evaluated in the future research.