• Journal of the Korea Institute of Building Construction
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• v.14 no.6
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• pp.605-613
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• 2014

Recently proposed intelligent images are generating, storing and managing along with existing image information and 5W1H information. Therefore, these vector images can be useful in searching and managing photos taking during building construction and maintenance processes. In addition, when the vector photos, a key to the intelligent image, is linked with BIM, it is possible to find BIM objects by utilizing information included in vector photos. And if the taken vector photo is saved as attributes of the extracted object, the vector photo can be managed as the historical data. Furthermore, this new technology will contribute to make the management of construction information more efficiently. This study is about the development of the technology of extracting BIM objects from vector photo information and managing the attributes of the extracted objects. Also the prototype modules was developed and tested to evaluate the processes of setting reference points, converting coordinate system, calculating positions, and so on. Through these processes, it was confirmed that the possibility of extracting BIM objects from vector photos and of managing attribute data of objects.

• Journal of the Korean Geographical Society
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• v.44 no.3
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• pp.410-427
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• 2009

This study aims to rethink the meaning of graphicacy, discuss the possible criteria to evaluate the level of graphicacy, and show how the graphicacy differs through different grades. First, it finds that as school grades advance, implicit information processing abilities, and conceptual information processing abilities were more required comparing to explicit information processing abilities, when interpreting graphic data. Secondly, the percentage of items which examinee showed a proficient level, decreased as school grades advanced. Thirdly, the graphicacy level of sixth graders was the status of being able to derive explicit information from pictorial maps and read implicit information in simple contour map or line graphs. Ninth graders were able to infer causal relationship between geographic phenomenons by utilizing graphic materials. Tenth graders could read graphic materials by utilizing simple knowledge and experience.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.9
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• pp.695-699
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• 2009

In this paper, we propose an automatic prostate segmentation technique using image intensity and gradient information. Our method is composed of four steps. First, rays at regular intervals are generated. To minimize the effect of noise, the start and end positions of the ray are calculated. Second, the profiles on each ray are sorted based on the gradient. And priorities are applied to the sorted gradient in the profile. Third, boundary points are extracted by using gradient priority and intensity distribution. Finally, to reduce the error, the extracted boundary points are corrected by using B-spline interpolation. For accuracy evaluation, the average distance differences and overlapping region ratio between results of manual and automatic segmentations are calculated. As the experimental results, the average distance difference error and standard deviation were 1.09mm $\pm0.20mm$. And the overlapping region ratio was 92%.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.29-37
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• 2021

In this paper, we propose a deep learning-based retinal vessel segmentation model for handling multi-scale information of fundus images. we integrate the selective kernel convolution into U-Net-based convolutional neural network. The proposed model extracts and segment features information with various shapes and sizes of retinal blood vessels, which is important information for diagnosing eye-related diseases from fundus images. The proposed model consists of standard convolutions and selective kernel convolutions. While the standard convolutional layer extracts information through the same size kernel size, The selective kernel convolution extracts information from branches with various kernel sizes and combines them by adaptively adjusting them through split-attention. To evaluate the performance of the proposed model, we used the DRIVE and CHASE DB1 datasets and the proposed model showed F1 score of 82.91% and 81.71% on both datasets respectively, confirming that the proposed model is effective in segmenting retinal blood vessels.

• Jounal of The Korea Society of Information Technology Policy & Management
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• v.11 no.6
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• pp.1503-1507
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• 2019

With the softness of online entertainment news articles and the increasing number of quick-reporting articles in the entertainment sector, many people have access to entertainment front-page articles and are now able to make reviews of celebrities. It is not easy to systematically analyze which news articles are about which celebrities in a real-time environment, although their reputation is a key factor in the entertainment agency's business strategy, which should make the most of its affiliated celebrity resources. Based on the amount of celebrity references mentioned in entertainment news data, this paper proposes an entertainment news keyword analysis system, which extracts celebrities that are the subject of the article and associates them with the celebrity entertainment agency in question. Through the system proposed in this paper, advertisers or entertainment agencies can judge the value of the celebrity as reference material for the business. In addition, it can lay the groundwork for an investment strategy by predicting the outlook for the entertainment company for brokerages and investors.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2006.05a
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• pp.423-427
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• 2006

1) 바실러스는 불리한 환경조건에서 포자를 형성하며 포자는 균체가 죽어도 살아 남고, 외부 환경이 좋아지면 다시 발아하여 영양형 균체를 형성하게 된다. 본 연구에서 바실러스를 우점화와 포자의 활성화를 위해 열처리(80$^{\circ}C$, 10min)를 한다 울산분뇨처리장 슬러지 Cake를 배양하여 포자화 전 후 상태의 미생물의 EPS 추출결과 RCF법을 적용하였을 때 Carbohydrate물질이 다른 추출법에 비해 가장 많이 추출되었고, Steaming extraction법을 적용하였을 때 Protein이 가장 많이 추출되는 것으로 나타났으며, 포자화 전 보다 포자화 후의 EPS 양이 더 많이 추출될 것이라는 가설을 가지고 실험한 결과 포자화 전보다 포자화 후의 EPS 양이 더 많이 추출되었다. 울산분뇨처리장의 슬러지 Cake를 배양하여 포자화 전 후의 Cu의 제거정도를 비교한 결과 포자화 후의 EPS물질이 포자화 전의 EPS물질보다 Cu를 더 많이 제거하는 것으로 나타났으며 EPS 물질이 중금속 제거능력이 탁월하다고 할 수 있겠다. 2) 용인분뇨처리장과 천안하수처리장의 MLSS의 중금속 제거능력을 알아보기 위해 미생물량을 고려했을 경우와 미생물량을 고려하지 않은 경우로 나누어서 실험을 하였는데 울산분뇨처리장의 슬러지 Cake를 가지고 실험한 결과와 마찬가지로 Bacillus의 EPS물질이 중금속 제거에 탁월하다는 것을 알 수 있다. 3) Baillus를 사용하는 김천 식품폐수 처리장과 활성슬러지를 사용하는 천안하수처리장과의 EPS 함량을 비교한 결과 김천 식품폐수 처리장의 EPS 물질중 Protein과 Carbohydrate가 천안하수처리장의 활성슬러지보다 더 많은 것으로 나타났다.TEX>, DIN/DIP비 표층수 $23.91\pm3.42$, 저층수 $23.43\pm3.38$이었으며, 전반적으로 해역별 수질기준 I등급 내지는 II등급을 유지하고 있었고, 공간적으로는 외해측으로 갈수록 외해수와 혼합 확산되어 양호한 수질을 나타내었다. 장기적인 변동특성은 세그룹으로 구분되어진다.기 실험결과 용출용매로 증류수와 해수를 이용했을 때, 제강 슬래그에서 용출되는 납, 구리, 카드뮴, 수은의 용출 경향의 차이를 확인할 수 있었고 이에 따라서, 납, 구리, 카드뮴의 용출 유해성은 낮기 때문에 해양구조물로의 제강슬래그 유효이용은 적합할 것으로 판단되었다.im80%$로 계산되었다. 열형광선량계로 측정된 방사선량은 각각 1.8, 1.2, 0.8, 1.2, 0.8 (70 cm 거리) cGy로 측정되었으며, 환자의 복부 표면에서의 서베이메터를 이용한 측정량은 10.9 mR/h였다. 차폐구조물의 사용 시 전체 치료 동안에 태아선량은 약 1 cGy 정도로 평가되었다. 결론 : AAPM Report No.50의 자료에 따르면, 임산부의 방사선 치료 시 태아의 방사선 피폭선량은 5 cGy 이하일 경우에 방사선 피폭에 따른 태아의 위험이 거의 없는 것으로 제시되고 있다. 본원에서 차폐 구조물을 설치하였을 경우에 측정된 태아선량은 약 1 cGy로 측정되었고, 고안된 차폐구조물은 태아에 도달하는 방사선량을 감소시키기에 적합한 설계임이 입증되었다. 아니라 일반종합병원에서도 CTX-M형 ESBL 생성 E. coli와 K. pneumoniae가 존재하며 확산 중임을 시사한다. 앞으로 CTX-M형 ESBL의 만연과 변종 CTX-M형 ESBL의 출연을 감시하기 위한 정기적인 연구와 조사가 필

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.41-46
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• 2024

In this study, we sought to confirm the potential of the Chaetomorpha torta extract as a raw material for cosmetics. Accordingly, we sought to find the optimal extraction conditions for Chaetomorpha torta by ethanol concentration and to check whether it has an anti-inflammatory effect by confirming the inhibitory effect of pro-inflammatory cytokines (TNF-α, IL-1β, IL-6). The main contents of the experiment results are as follows. First, when DPPH radical scavenging ability and polyphenol yield were used as the criteria for optimal extraction conditions of Chaetomorpha torta, 70% concentration ethanol extract was most suitable. Second, as a result of cytotoxicity evaluation using Raw 264.7, no cytotoxicity was observed at concentrations below 100 ㎍/mL. Third, as a result of measuring the inhibitory effect of pro-inflammatory cytokines TNF-α, IL-1β, and IL-6 in LPS-induced Raw 264.7 cells, the production of all cytokines decreased in proportion to the concentration, and 100 ㎍/mL It was confirmed that the concentrations were 73.76±2.6%, 84.8±2.42%, and 91.91±0.47%, respectively, showing excellent anti-inflammatory properties. According to these research results, it appears that the extract of the Chaetomorpha torta can be valuable as a raw material for cosmetics with anti-inflammatory properties, and if research on antioxidant, antibacterial, and anti-inflammatory activities related to green algae is conducted more actively, marine resources can be used as useful basic data. It is believed that it will be.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.49 no.3
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• pp.38-46
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• 2012

Atrial fibrillation is needed to be detected at paroxysmal stage and to be treated. But, paroxysmal atrial fibrillation ECG is hardly obtained with 12-lead electrocardiographs but Holter systems. Presently, the averaged beat subtraction(ABS) method is solely used to estimate atrial fibrillatory waves even with somewhat large residual error. As an alternative, in this study, we suggested an ESAF(event-synchronous adaptive filter) based algorithm, in which the AF ECG was treated as a primary input and event-synchronous impulse train(ESIT) as a reference. And, ESIT was generated so to be synchronized with the ventricular activity by detecting QRS complex. We tested proposed algorithm with simulated AF ECGs and real AF ECGs. As results, even with low computational cost, this ESAF based algorithm showed better performance than the ABS method and comparable performance to algorithm based on PCA(principal component analysis) or SVD(singular value decomposition). We also proposed an expanded version of ESAF for some AF ECGs with multi-morphologic ventricular activities and this also showed reasonable performance. Ultimately, with Holter systems including our proposed algorithm, atrial activity signal can be precisely estimated in real-time so that it will be possible to calculate atrial fibrillatory rate and to evaluate the effect of anti-arrhythmic drugs.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.1
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• pp.9-21
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• 2009

This study presents a useful heuristic algorithm to classify vehicle classes using vehicle length information, which is extracted from inductive loop vehicle signatures. A high-speed scanning equipment was used to extract more detailed change of inductance magnitude for individual vehicles. Vehicle detection time and individual vehicle speeds were used to derive vehicle length information that is an input of the proposed algorithm. The spatial and temporal transferability tests were further conducted to evaluate algorithm. The spatial and temporal transferability tests were further conducted to evaluate algorithm performance more systematically. It is expected that the proposed method would be useful for obtaining vehicle classification information from wide-spread existing loop infrastructure.

• Korean Journal of Ecology and Environment
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• v.55 no.4
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• pp.274-284
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• 2022

Through sample-size-based rarefaction analyses, we tried to suggest the appropriate degree of sample concentration and sub-sample extraction, as a way to estimate more accurate zooplankton species diversity when assessing biodiversity. When we collected zooplankton from three reservoirs with different environmental characteristics, the estimated species richness (S) and Shannon's H' values showed different changing patterns according to the amount of sub-sample extracted from the whole sample by reservoir. However, consequently, their zooplankton diversity indices were estimated the highest values when analyzed by extracting the largest amount of sub-sample. As a result of rarefaction analysis about sample coverage, in the case of deep eutrophic reservoir (Juam) with high zooplankton species and individual numbers, it was analyzed that 99.8% of the whole samples were represented by only 1 mL of sub-sample based on 100 mL of concentrated samples. On the other hand, in Soyang reservoir, which showed very small species and individual numbers, a relatively low representation at 97% when 10 mL of sub-sample was extracted from the same amount of concentrated sample. As such, the representation of sub-sample for the whole zooplankton sample varies depending on the individual density in the sample collected from the field. If the degree of concentration of samples and the amount of sub-sample extraction are adjusted according to the collected individual density, it is believed that errors that occur when comparing the number of species and diversity indices among different water bodies can be minimized.