• Animal Systematics, Evolution and Diversity
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• v.17 no.2
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• pp.217-222
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• 2001

A taxonomic review of the Korean Agyrtidae is presented. Two species are recognized, one a which is reported for the first time in Korea(Pteroloma Koebelei Von Dyke). The diagnoses, illustrations of male genitalia, habitus photos, and a key to the species of Korean Agyrtidae are presented.

• Korean Journal of Environment and Ecology
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• v.13 no.2
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• pp.129-142
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• 1999

생태도시계획의 핵심토대로서 UBM(Urban Biotope Mapping)과 BIS(Biotope Information System)는 총 5단계로 구성된다. 본 연구는 2단계의 연구로서 독일 도르트문트시를 사례지로 한 도시비오톱 유형분류방법을 규명해 보고 우리 나라 적용가능성을 타진해 보는 데 목적이 있었다. 유형분류결과 biotope group complex는 총 12개, biotope group은 총 67개, detail biotope은 총 1,120개로 나타났다. 면적점유율 및 분포현황의 분석결과 습지초원 및 반건초지 초원비오톱(전체 면적 0.8%)이 희귀비오톱으로 분류되었으며, 분구원지역비오톱(전체 면적의 2.8%)의 다양도가 가장 높게 나타났다. 또한 적용가능성이란 측면에서 볼 때 서로 다른 도시발전형태에 따른 토지이용패턴의 상이성보완이 필요하고, 더불어 기타 도시생태관련자료에서 지형(적)도(1 : 5,000) 및 적외선 칼라항공사진(1 : 5,000)은 최소한의 자료로 준비되어야 할 것으로 사료되었다.

• Animal Systematics, Evolution and Diversity
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• v.7 no.2
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• pp.195-220
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• 1991

This study on the systematic study of ascidians from Korea was based on the materials collected at 41 localities from July 1969 to September 1989. 40 species, eight families, three suborders in two orders were identified, Of these four species were new records for Korean waters ; Polyclinum planum, Didemnum candidum, Stylea plicata, and Molgula calvata. They were described with illustrations, and the species which were characterized by spicules and siphonal armatures were added with plate figures.

• Korean journal of applied entomology
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• v.60 no.2
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• pp.235-239
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• 2021

In this study, one newly recorded species, P. vittapenna Kim & Park, of the Promalactis is recognized. A diagnosis and distributional data are provided with illustrations of its adult and genitalia. A taxonomic key to all Laos Promalactis species is also provided.

• Korean journal of applied entomology
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• v.63 no.1
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• pp.5-11
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• 2024

In this study, the Korean Thyas has been reviewed. We firstly described a species, Thyas coronata (Fabricius, 1775), including detailed illustrations of adult specimens and their reproductive organs. Additionally, we have provided taxonomic diagnoses and distributional information for all Korean Thyas species.

• Journal of Korean Society of Forest Science
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• v.110 no.2
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• pp.155-164
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• 2021

Many studies have been conducted on developing automatic plant identification algorithms using machine learning to various plant features, such as leaves and flowers. Unlike other plant characteristics, barks show only little change regardless of the season and are maintained for a long period. Nevertheless, barks show a complex shape with a large variation depending on the environment, and there are insufficient materials that can be utilized to train algorithms. Here, in addition to the previously published bark image dataset, BarkNet v.1.0, images of barks were collected, and a dataset consisting of 53 tree species that can be easily observed in Korea was presented. A convolutional neural network (CNN) was trained and tested on the dataset, and the factors that interfere with the model's performance were identified. For CNN architecture, VGG-16 and 19 were utilized. As a result, VGG-16 achieved 90.41% and VGG-19 achieved 92.62% accuracy. When tested on new tree images that do not exist in the original dataset but belong to the same genus or family, it was confirmed that more than 80% of cases were successfully identified as the same genus or family. Meanwhile, it was found that the model tended to misclassify when there were distracting features in the image, including leaves, mosses, and knots. In these cases, we propose that random cropping and classification by majority votes are valid for improving possible errors in training and inferences.

• Journal of the Korean Association of Geographic Information Studies
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• v.5 no.1
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• pp.27-37
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• 2002

The classification accuracy of land cover has been considered as one of the major issues to estimate pollution loads generated from diffuse landuse patterns in a watershed. This research aimed to assess the effects of the acquisition methods and sampling size of training reference data on the classification accuracy of land cover using an imagery acquired by optical sensor(OPS) on JERS-1. Two kinds of data acquisition methods were considered to prepare training data. The first was to assign a certain land cover type to a specific pixel based on the researchers subjective discriminating capacity about current land use and the second was attributed to an aerial photograph incorporated with digital maps with GIS. Three different sizes of samples, 0.3%, 0.5%, and 1.0% of all pixels, were applied to examine the consistency of the classified land cover with the training data of corresponding pixels. Maximum likelihood scheme was applied to classify the land use patterns of JERS-1 imagery. Classification run applying an aerial photograph achieved 18 % higher consistency with the training data than the run applying the researchers subjective discriminating capacity. Regarding the sample size, it was proposed that the size of training area should be selected at least over 1% of all of the pixels in the study area in order to obtain the accuracy with 95% for JERS-1 satellite imagery on a typical small-to-medium-size urbanized area.

• Journal of Korean Society for Geospatial Information Science
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• v.24 no.4
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• pp.39-45
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• 2016

In this study, with arbitrary reference points on the water, photogrammetry accuracy analysis was conducted using unmanned aerial vehicle(UAV). A small reservoir is a research area, and twenty buoys were used as arbitrary reference points. Errors of location coordinate were identified with control of amounts of used reference points. cases are categorized by index scores per photos. Accuracy of X is 0.141m~0.166m and accuracy of Y is 0.136m~0.241m. Considering that allowable error for the maritime boundary survey is ${\pm}2m$, it is possible to get the accuracy data available for the photogrammetry of UAV using an reference point. In addition, the coefficient of correlation between the number of reference points per unit and number of buoys used as reference point and the ratio of the reference point per square measure, and percentage of buoys used as reference point and the coefficient of x and y were performed. Each element, x, and y showed a strong correlation and the coefficient of number of buoys used as reference point was irrelevant. The results of this correlation analysis can be analyzed that the number of reference points used in each picture is greater than the actual number of reference points used in location accuracy.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.21 no.1
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• pp.27-36
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• 2003

Generally, the latest acquisition method of geo-spatial informations in urban area is executed by generation of digital elevation model (DEM) and digital ortho image by digital photogrammetry method which is used large scale photo image. However, the biggest problem of this method is coarse accuracy of DEM which is automatically generated by digital photogrammetry workstation system. The coarse accuracy of DEM caused geo-spatial information in urban area to reduce of accuracy. Therefore, this study is purposed to increase of DEM accuracy which is applied to method terrain classification in urban area. As the results of this study, the proposed method of this study which is increased to accuracy of DEM by classification of terrain is better than accuracy of DEM which is automatically generated by digital photogrammetry workstaion system. And, the edge detection method which is proposed by this study is established to capability of 3D digital mapping in urban area.

• Journal of the Korean Arthroscopy Society
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• v.11 no.2
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• pp.128-133
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• 2007

Purpose: To examine the clinical results after arthroscopic meniscectomy of radial tear of medial meniscus. Materials and Methods: We studied 45 cases with the radial tear of medial meniscus which follow up more than 2 years(range 2 to 7 years). Arthroscopic surgery was performed to the patients with grade 0-2 according to the Kellgren and Lawrence classification. Evaluation of cartilage damage was performed on surgical photos according to Outerbridge classification. Evaluation of clinical result was used the modified Lysholm score. Results: The mean pre-operation Lysholm score was 79.1, 71.2, 68.5, 67.9, 67.2, 61.5 and post-operation Lysholm score was 86.3, 75.1, 73.0, 73.1, 73.2, 66.2 and 61.5%, 62.5%, 60.0%, 50.0%, 50.0%, 25.0% improved knee pain and 69.2%, 75.5%, 70.0%, 66.6%, 75.0%, 75.0% were satisfied knee surgery and 30.7%, 20.5%, 20.0%, 50.0%, 25.0%, 50.0% required further surgery in patients respectively. According to Kellgren and Lawrence classification, 7 cases(15.5%) progress grade 3 osteoarthritis. Conclusions: The radial tear of medial meniscus showed the poor results with arthroscopic meniscectomy even if the grade 0-2 osteoarthritis. For the improvement of the clinical results, consider the technique to restore the hoop stresses or use the high tibia osteotomy for preventing the osteoarthritis.