• Title/Summary/Keyword: Similarity reduction

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Isolation and Characterization of Extracellular Polymeric Substances (EPS)-producing bacteria for restoration of burnt forest soils (산불토양복원을 위한 Extracellular Polymeric Substances (EPS) 생성세균의 분리, 동정 및 특성에 관한 연구)

  • Lee, Gun-Young;Song, In-Geun;Chung, Jae-Chun;Kim, Young-Jun
    • Journal of the Korea Organic Resources Recycling Association
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    • v.12 no.4
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    • pp.139-147
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    • 2004
  • We have isolated two bacterial strains, FM-02 and AL-02, which produced EPS from forest soil for the restoration of forest fire by promoting soil aggregation. FM-02 was found to be Gram negative rod and belong to Beta Proteobacterium sp. through 16s-rDNA sequence analysis, and AL-02 was Gram positive rod and showed 81% of similarity to Zoogloea sp. through the analysis of 16s-rDNA sequence. FM-02 and AL-02 produced about 1.8g and 8.3g of EPS, respectively, per 1L of culture as dry weight. Flocculation activity (FA) was also measured in two strains. FM-02 showed 2.31 FA against active carbon, and AL-02 showed 6.21 FA against kaolin clay. From these results, we expect that AL-02 strain will be applied as a good biological material for the reduction of forest soil erosion by wild and rain after fire through promoting coagulation of soil particles.

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A study on the effect of support structure of steel rib in partitioning excavation of tunnel (터널 상·하반 분할 굴착 시 강지보재 지지구조 효과에 대한 연구)

  • Kim, Ki-Hyun;Kim, Yeon-Deok;Hwang, Beoung-Hyeon;Choi, Yong-Kyu;Kim, Sang-Hwan
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.22 no.5
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    • pp.543-561
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    • 2020
  • This paper is the result of the study on the effect of the support structure of the tunnel steel rib. In tunnel excavation, the top and bottom half excavation methods result in subsidence of steel rib reinforcement due to insufficient support of steel rib reinforcement when the ground is poor after excavation. The foundation of the steel rib installed in the upper half excavates the bottom part of the base, causing the subsidence to occur due to various effects such as internal load and lateral pressure. As a result, the tunnel is difficult to maintain and its safety is problematic. To solve these problems, steel rib support structures have been developed. For the purpose of verification, the behavior of the supporting structure is verified by model experiments reduced to shotcrete and steel rib material similarity, the numerical analysis of ΔP and ΔP generated by bottom excavation by Terzaghi theoretical equation. As a result, it was found that the support structure of 20.100~198.423 kN is required for the 10~40 m section of the depth for each soil of weathered soil~soft rock. In addition, as a result of the reduced model experiment, a fixed level of 50% steel rib deposit of steel rib support structure was installed. The study shows that the installation of steel rib support structures will compensate for uncertainties and various problems during construction. It is also thought that the installation of steel rib support structure will have many effects such as stability, economy, and air reduction.

The Development of Image Processing System Using Area Camera for Feeding Lumber (영역카메라를 이용한 이송중인 제재목의 화상처리시스템 개발)

  • Kim, Byung Nam;Lee, Hyoung Woo;Kim, Kwang Mo
    • Journal of the Korean Wood Science and Technology
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    • v.37 no.1
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    • pp.37-47
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    • 2009
  • For the inspection of wood, machine vision is the most common automated inspection method used at present. It is required to sort wood products by grade and to locate surface defects prior to cut-up. Many different sensing methods have been applied to inspection of wood including optical, ultrasonic, X-ray sensing in the wood industry. Nowadays the scanning system mainly employs CCD line-scan camera to meet the needs of accurate detection of lumber defects and real-time image processing. But this system needs exact feeding system and low deviation of lumber thickness. In this study low cost CCD area sensor was used for the development of image processing system for lumber being fed. When domestic red pine being fed on the conveyer belt, lumber images of irregular term of captured area were acquired because belt conveyor slipped between belt and roller. To overcome incorrect image merging by the unstable feeding speed of belt conveyor, it was applied template matching algorithm which was a measure of the similarity between the pattern of current image and the next one. Feeding the lumber over 13.8 m/min, general area sensor generates unreadable image pattern by the motion blur. The red channel of RGB filter showed a good performance for removing background of the green conveyor belt from merged image. Threshold value reduction method that was a image-based thresholding algorithm performed well for knot detection.

Bacterial Community Structure and Diversity Using 16S rDNA Analysis in the Intertidal Sediment of Ganghwa Island (16S rDNA 분석을 이용한 강화도 장화리 갯벌 퇴적물 내 미생물 군집구조 및 다양성)

  • Cho Hye Youn;Lee Jung-Hyun;Hyun Jung-Ho
    • Korean Journal of Microbiology
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    • v.40 no.3
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    • pp.189-198
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    • 2004
  • T-RFLP analysis and clone sequencing analysis based on bacterial 16S rDNA were conducted to assess bacterial community structure and diversity in two layers (0-1cm, 6-7cm depth) of the sediment from Janghwari intertidal flat in Ganghwa Island. The results of T-RFLP (terminal-restriction fragment length polymorphism) analysis using restriction enzyme HhaI showed that the T-RFs of various size ($60{\pm}2$) bp-($667{\pm}2$) bp) appeared evenly at the surface sediments but two T-RFs with 60(${\pm}2$)bp and 93 (${\pm}2$)bp predominated at 6-7cm depth. Analysis of partial sequences for 172 clones revealed that 98% of the clones were not matched with the sequences of cultured bacteria strains in the GenBank (${\geq}similarity$ 98%), and approximately 86% of them were classified as different phylotypes. Most clones belonged to $\alpha$-, $\gamma$-, and $\delta$-Proteobacteria, Acidobacteria/Holophaga and green nonsulfur bacteria group. Proteobacteria group occupied the highest proportion in both layers (69% at 0-1cm depth and 46% at 6-7cm depth). $\gamma$-Proteobacteria and $\delta$-Proteobacteria that are associated with oxidation and reduction of sulfur compounds were appeared to be dominant, and comprised 21.5% and 15.7% of total clones, respectively. Overall results indicated that extremely diverse bacterial groups were inhabiting in the sediment of Ganghwa intertidal flat, and bacterial communities associated with the behaviour of sulfur seemed to playa significant role in the biogeochemical environment in this anoxic sediment.

A study on reduction of sensibility dimension for selection of wallpaper (벽지 선택을 위한 감성 차원 축소에 관한 연구)

  • Chun Young-Min;Kim Soon-Young;Kim Sung-Hwan;Chung Sung-Suk
    • Science of Emotion and Sensibility
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    • v.8 no.4
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    • pp.333-344
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    • 2005
  • The sensitivity adjectives on wall paper are collected. With the collected sensitivity adjective, we are going to develop the model which can recommend the wallpaper to customer. A large number of adjectives describing affective responses were collected from such diverse sources as questionnaire survey results, field survey results and internet survey result. To search the representative adjective of collected adjective, we used the diverse statistical analysis method. We attempted to decide the axis name of dimension through the MDS(Multi-Dimensional Scale) analysis method using the similarity matrix an4 to find a three or four reduced factors through the factor analysis method using the varimax rotation method. The result of the analysis showed that the reduced factors could account about $82\%$ when the number of factor is three(popular, elegance, and passable) ant about $93\%$ when the number of factor is four (elegance, passable, beautiful, and affectionate) On the basis of this result, we expect it can be used to develop the model recommending the wallpaper.

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The Phytoestrogenic Effect of Daidzein in Human Dermal Fibroblasts (피부 섬유아세포에서 다이드제인의 파이토에스트로겐 효과)

  • Kim, Mi-Sun;Hong, Chan Young;Lee, Sang Hwa
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.40 no.3
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    • pp.279-287
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    • 2014
  • Estrogen deficiency results in a reduction of skin quality and function in postmenopausal women. Over the past decade, many studies have supported that estrogen provides anti-aging effects as a result of the ability of estrogen to prevent skin collagen decline, restore skin elasticity, and increase skin hydration in postmenopausal women skin. Due to their structural similarity with estrogen, isoflavones have been called phytoestrogens. Photoprotective effects of isoflavones are well established while their estrogenic-like activities are not fully understood in human skin. In this study, we investigated whether daidzein, an effective isoflavone, has phytoestrogenic activity and induces transcriptional change of extracellular matrix components in dermal fibroblasts. We examined the luciferase activity of daidzein and ${\beta}$-estradiol using transiently transfected NIH3T3-ERE cells. The estrogenic receptor-dependent transcriptional activity was increased in a dose-dependent manner when treated with daidzein, with a maximum of 2.5-fold induction at $10{\mu}g/mL$ of daidzein compared with non-treated control. In addition, daidzein significantly in creased the expressions of collagen type I, collagen type IV, elastin, and fibrillin-1 in human dermal fibroblasts. By comparing with the effects of ${\beta}$-estradiol through out all the experiments, we confirmed that daidzein had estrogenic activity and function in fibroblasts. These results suggest that daidzein-based application, having both photoprotective and phytoestrogenic effects, may be a powerful approach for skin anti-aging of postmenopausal women.

A Study on the Prediction of Hard and Soft Tissue Changes after Setback Genioplasty (후진 이부성형술의 경조직과 연조직 측모 변화 예측에 관한 연구)

  • Yang, Jung-Eun;Kim, Il-Kyu;Cho, Hyun-Young;Ju, Sang-Hyun;Pyeon, Young-Hoon;Jung, Bum-Sang;Pae, Sang-Pill;Cho, Hyun-Woo
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.34 no.6
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    • pp.413-420
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    • 2012
  • Purpose: The purpose of this setback genioplasty study is to develop a prediction method for the calculated osteotomy angle using horizontal and vertical changes as well as to evaluate the proportion of hard and soft tissue changes. Methods: Twelve patients who had received setback genioplasty with other maxillofacial surgery were examined. Three lateral cephalograms were taken just before surgery, immediately after surgery, and 3 months later surgery. A reference line was established to the reference point of the inner most point of the lingual symphysis cortex, incisor tip, and 2nd molar cusp tip. Measuring was conducted from pogonion (Pg), menton (Me), labrale inferius (Li), Mentolabial fold, soft tissue pogonion (Pg'), and soft tissue menton (Me') to the reference lines. Results: In setback genioplasty, the skeletal Pg moved posteriorly 5.07 mm. The ratios of soft tissue to hard tissue movement were 36% posteriorly and 62% inferiorly at Pg', 67% posteriorly and 104% inferiorly at Me', and 34% anteriorly and 164% posteriorly at Li. In reduction & setback genioplasty, skeletal Pg moved posteriorly 4.63 mm and skeletal Me moved superiorly 3.63 mm. The ratios of soft tissue to hard tissue movement were 76% posteriorly and 18% superiorly at Pg', 68% posteriorly and 42% superiorly at Me', and 44% anteriorly, 124% posteriorly at Li. The calculated mean slope angle, based on ${\Delta}H/{\Delta}V$ ratio, was 61.25 and the measured mean slope angle was 60.17. Thus, the calculated and measured slope angles have a similarity. Conclusion: In setback genioplasty, soft tissue moves posteriorly and inferiorly. In particular, at the Me' and Pg', the inferior movement of the soft tissue is greater than the posterior movement. Also, the predictable results (measured slope angle) after operation can be achieved by the calculated slope angle. Thus, the relationship of soft and hard tissue changes must be considered as the results are predictable.

A Study of Manufacturing Techniques based on Classification by Uses of Excavated Iron Objects from the Remains in Geumcheok-ri, Gyeongju (경주 금척리 유적 출토 철기의 용도별 분류에 따른 제작기법 고찰)

  • You, Ha Rim;Cho, Nam Chul;Shin, Yong Bi
    • Journal of Conservation Science
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    • v.38 no.3
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    • pp.217-233
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    • 2022
  • The remains found in Geumcheok-ri, Gyeongju are located in close proximity to the Ancient Tombs in Geumcheok-ri, Gyeongju (Historic Site) which were built between the late 5th and early 6th centuries, and these tombs are known to belong to the powerful rulers of that area. Using metallurgical techniques, this study was conducted on the iron objects obtained from the excavated remains in Geumcheok-ri, Gyeongju which are presumed to have a close relation to the nearby ruins that played an important role in the growth of Silla. To identify differences in manufacturing techniques based on the purpose of the iron objects, eight objects were selected after classifying them by use and the microstructure and non-metallic inclusions were investigated. The analyses results confirmed that the manufacturing process involved forging iron with a high or low carbon content to produce a particular shape, and that the carburization process was applied to iron post forging a shape to increase its strength when necessary. The mechanical properties were improved by selectively applying the steelmaking method and the heat treatment technique considering the functions of the parts, and the low temperature reduction was applied to the smelting process. Furthermore, in comparison with the iron objects excavated from the remains located in the center of Gyeongju and its outskirts, it is confirmed that there is similarity in the smelting and manufacturing techniques between these objects.

Study on Enhancement of Ammonia Generation for Effective Collision Frequency (유효충돌빈도를 고려한 암모니아 생성 증대기법 연구)

  • Sejin Kim;Yongseok CHoi;Hyunchul Park
    • Journal of Aerospace System Engineering
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    • v.17 no.6
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    • pp.1-8
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    • 2023
  • Research, such as developing alternative energy in the transportation field, including aviation, is being actively conducted to solve the issue of current climate change. Interest in ammonia fuel as a carbon free energy (CFE) source is increasing due to the ease of liquefaction and transportation and similarity in energy density to that of methanol. However, explosiveness and toxicity of ammonia make it difficult to handle. Therefore, in this study, stable ammonia production was attempted using relatively easy-to-handle urea water solution (UWS). High temperature steam was used to promote the hydrolysis of ammonia. In order to determine the causes for ammonia production below the theoretical equivalent ratio, it was suggested that there were not enough collisions to promote the hydrolysis based on the kinetic theory of gases. The hydrolysis of unreacted isocyanic acid (HNCO) was tested according to the change in water supply. As a result, an increased amount of ammonia produced was confirmed. The increased amount of ammonia produced in a certain section was dependent on the steam temperature and the flow rate of water supplied.

A study on the classification of research topics based on COVID-19 academic research using Topic modeling (토픽모델링을 활용한 COVID-19 학술 연구 기반 연구 주제 분류에 관한 연구)

  • Yoo, So-yeon;Lim, Gyoo-gun
    • Journal of Intelligence and Information Systems
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    • v.28 no.1
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    • pp.155-174
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    • 2022
  • From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (

    ) were the topic modeling results for each research topic (
    ) was found to be derived from For example, as a result of topic modeling for papers related to 'vaccine', a new topic titled Topic 05 'neutralizing antibodies' was extracted. A neutralizing antibody is an antibody that protects cells from infection when a virus enters the body, and is said to play an important role in the production of therapeutic agents and vaccine development. In addition, as a result of extracting topics from papers related to 'treatment', a new topic called Topic 05 'cytokine' was discovered. A cytokine storm is when the immune cells of our body do not defend against attacks, but attack normal cells. Hidden topics that could not be found for the entire thesis were classified according to keywords, and topic modeling was performed to find detailed topics. In this study, we proposed a method of extracting topics from a large amount of literature using the LDA algorithm and extracting similar words using the Skip-gram method that predicts the similar words as the central word among the Word2vec models. The combination of the LDA model and the Word2vec model tried to show better performance by identifying the relationship between the document and the LDA subject and the relationship between the Word2vec document. In addition, as a clustering method through PCA dimension reduction, a method for intuitively classifying documents by using the t-SNE technique to classify documents with similar themes and forming groups into a structured organization of documents was presented. In a situation where the efforts of many researchers to overcome COVID-19 cannot keep up with the rapid publication of academic papers related to COVID-19, it will reduce the precious time and effort of healthcare professionals and policy makers, and rapidly gain new insights. We hope to help you get It is also expected to be used as basic data for researchers to explore new research directions.


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