• Biomedical Science Letters
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• v.3 no.1
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• pp.37-42
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• 1997

The concentrations in women's hair of essential and toxic elements such as Zn, Ni, Fe, Mn, Cu, Cr, Pb and Cd in residential and factory areas in Pusan were determined, and all the elements were detected from all the samples. It was apparent that employees working in factory areas in Pusan were exposed directly to the essential and toxic heavy matals. This is based on the fact that average concentrations of Ni, Fe, Mn, Cu, Cr, Pb, and Cd in hair samples from women aged 10 to 29 in factory area, who were considered to be main members among women employees, were much higher than those of residential areas. That is, the highest concentrations found in the hair samples taken from women 10 to 29 years old living in factory areas were 110 times higher in Cr (in the women in their 20's), 92 times higher in Pb (in the women in their teens) and 23 times higher in Cd (in the women in their 20's) than those living in residential areas. Furthermore, it was suggested that the heavy metals may be accumulated gradually in human bodies as humans get older, based on the fact that the concentrations of Cr, Pb, and Cd in women living in residential areas were higher in older age groups, although the average contents of these elements in residents from residential areas were similar with those of several foreign countries.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1998.10a
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• pp.343-348
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• 1998

In this study, we extracted several terrain information using satellite and aerial images. We detected change of terrain using Landsat Thematic Mapper(TM) and aerial images which are multitemporal data. In change detection processing, we first classified satellite images by ISODATA algorithm which is an unsupervised learning algorithm, then performed change detection. By this method, we could obtain good result. Also we introduce sub-pixel concept to classify road and agriculture area in inaccessible area. In summary, in chang detection processing, we can find that the used method is efficient.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.8
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• pp.187-195
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• 2013

Most of former studies for car license plate detection restrict the image acquisition environment. The aim of this research is to diminish the restrictions by proposing a new method of using SIFT and neural network. SIFT can be used in diverse situations with less restriction because it provides size- and rotation-invariance and large discriminating power. SIFT extracted from the license plate image is divided into the internal(inside class) and the external(outside class) ones and the classifier is trained using them. In the proposed method, by just putting the various types of license plates, the trained neural network classifier can process all of the types. Although the classification performance is not high, the inside class appears densely over the plate region and sparsely over the non-plate regions. These characteristics create a local feature map, from which we can identify the location with the global maximum value as a candidate of license plate region. We collected image database with much less restriction than the conventional researches. The experiment and evaluation were done using this database. In terms of classification accuracy of SIFT keypoints, the correct recognition rate was 97.1%. The precision rate was 62.0% and recall rate was 50.2%. In terms of license plate detection rate, the correct recognition rate was 98.6%.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.2108-2109
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• 2008

매년 증가하고 있는 누전사고에 대한 대책수립을 위해 누전검출장치 및 누전조사작업을 시행하고 있지만, 대부분 전압변화 및 영상전류 및 z임피던스에 의한 계측이 주를 이루고 있다. 본 논문에서는 누전지역에서의 누설전류에 자속밀도 분포를 조사함으로 손쉬운 누전검출장비 개발 및 비접촉에 의한 누전검출장비 개발과 누전환경에서의 기초 연구자료를 제공하고자 정상선로에서의 자속밀도 분포 및 전압변화에 따른 자속밀도 분포를 조사하였다. 그 결과 정상도선에서는 거리변화에 따른 자속밀도가 감소하였으며, 이에 반해 침수된 누전지역에서는 자속밀도변화가 거의 없음을 확인할 수 있었으며, 전압 증가에 따라 누전지역의 전류값이 정상상태보다 더 크게 변화하는 것을 확인할 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.700-703
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• 2016

OpenCV(Open Computer Vision)에서 제공하는 얼굴 검출 알고리즘은 Haar-like feature와 Cascade 방식을 이용하여 얼굴의 패턴을 찾아내 얼굴을 검출한다. 그러나 우연히 얼굴이 아닌 곳이 얼굴과 유사한 패턴일 경우, 얼굴로 인식하는 오류를 범하게 된다. 따라서 본 논문은 MCT(Modified Census Transform)와 신경망을 이용하여 잘못된 얼굴 검출 영역을 감소시키는 알고리즘을 제안한다. MCT는 다양한 조명 조건에서도 강인한 얼굴 영상의 지역적 구조 특징을 추출하기 위하여 사용되고, 신경망 알고리즘은 Haar-Cascade 알고리즘의 얼굴 검출 방법으로 검출된 영역이 실제로 얼굴인지 아닌지를 판단하기 위하여 사용된다. 실험에서 사용된 6개의 데이터들은 인터넷에서 수집한 것으로서, Haar-Cascade 알고리즘의 얼굴 검출 방법으로 얼굴을 검출하였을 때 오검출된 영역이 1개 이상 존재한다. 본 논문에서 제안한 알고리즘으로 실험한 결과, Haar-Cascade 알고리즘의 얼굴 검출 방법에 비하여 오검출된 영역이 감소된 것을 확인할 수 있었다.

• Journal of the Korean Association of Geographic Information Studies
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• v.2 no.1
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• pp.73-83
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• 1999

The land use/cover information, which is periodically obtained from satellite imagery, can be effectively applied to change detection in rapidly changing urban areas. Also it can be used not only as base maps for spatial database in urban information system but as decision-making data for desired urban planning and development direction. In this study, we carried out both unsupervised and supervised classification on land use from Landsat TM and JERS-1 OPS data, which were collected respectively in 1991 and 1997, covering Kumi City and then detected land use changes.

• The Korean Journal of Pesticide Science
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• v.8 no.3
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• pp.189-197
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• 2004

Alpine and sloped-land in Gangwondo, Korea is the most important land type for cultivation of Chinese cabbage. However, farmers in these regions have major problems with insect pests, weeds and disease. Over use or inappropriate use of agrochemicals occurs frequently. No intensive study of pesticide contamination in this area has been done. The work presented in this paper addresses this deficiency. We measured pesticide residues within soil and water samples using multiresidue analysis. Samples were collected bimonthly from April to October, 2002 at three sites with to sampling spots. At the three sites, Pyeongchang, Jeongseon and Taebaeck, pesticides most frequently detected (>30% of samples) in soil samples were endosulfan, fluazinam, diniconazole, alachlor, prothiofos and dimethomorph. The amount of pesticide residues in the soils was ranged from 0.004 to $0.412\;mg\;kg^{-1}$ in these samples. Non-registered pesticides were also detected in these samples, indicating illegal use of pesticides. No pesticide were detected in the water samples collected from those sites. The results showed that pesticide residues might be dependant on physiochemical properties of pesticides, application history and soil properties. This study provides basic data for appropriate pesticide use on alpine and sloped-land in Korea.

• Journal of the Korean Society for Marine Environment & Energy
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• v.11 no.1
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• pp.1-12
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• 2008

The prohibition of usage of tributyltin (TBT) compounds and the legal usage of new antifouling agents have changed the Korean costal environments in recent. 39 sampling sites of southwestern tidal flats were chosen in order to investigate the concentration of antifouling agents, and results in 2006 were compared with previous results in 1998. The concentrations of TBT compounds in most of sites except Incheon (It1) have been drastically decreased. Interestingly, In Jebudo (Jt2), Mokpo(MOt4) and Suncheon(SUt3) sites were detected as below the limit of detection and it is because of the legal restriction of TBT compounds. However, in most of the sampling sites in Korea, new antifouling agents, viz. Irgarol 1051, Dichlofluanid and Chlorothalonil, were detected. In particular, Irgarol 1051 was detected with high concentrations. In Jebudo (Jt4), a high concentration of Irgarol 1051 of 159.45 ng $g^{-1}$(dry wt) was detected. We were able to observe that the concentration of TBT compounds are has gradually been reduced whereas the new major antifouling agents are easily detected in most Korean tidal flats.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.2
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• pp.1-13
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• 2017

In This Paper, we find the Target Candidate Region and the Location of the Candidate Region by Performing the Morphological Difference Calculation and Pixel Labeling for Robust Small Target Detection in Infrared Image with low SNR. Conventional Target Detection Methods based on Morphology Algorithms are low in Detection Accuracy due to their Vulnerability to Clutter in Infrared Images. To Address the Problem, Target Signal Enhancement and Background Clutter Suppression are Achieved Simultaneously by Combining Moravec Algorithm and LCM (Local Contrast Measure) Algorithm to Classify the Target and Noise in the Candidate Region. In Addition, the Proposed Algorithm can Efficiently Detect Multiple Targets by Solving the Problem of Limited Detection of a Single Target in the Target Detection method using the Morphology Operation and the Gaussian Distance Function Which were Developed for Real time Target Detection.

• The Korean Journal of Pesticide Science
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• v.12 no.4
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• pp.357-362
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• 2008

In order to survey the residual characteristics of pesticides and assess their safeties in the agricultural products from markets, the agricultural products were purchased from the wholesale and traditional markets in Cheongju and Jeonju and analyzed the pesticide residues in them. No pesticide residues were found in samples from Cheongju, whereas, in case of samples collected from Jeonju, 3 pesticides including chlorothalonil were detected from 5 samples such as eggplant from wholesale market and 3 pesticides including azoxystrobin were found in tomato and grape from traditional market. Pesticide residues were detected from 10.9% of the total samples and detection levels were less than their maximum residue levels. Their estimated daily intakes ranged from 0.00102 to 0.03616% of their acceptable daily intakes, representing residue levels of the pesticides detected were evaluated to be safe.