• Title/Summary/Keyword: 물체분류

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Deep Learning Based Rescue Requesters Detection Algorithm for Physical Security in Disaster Sites (재난 현장 물리적 보안을 위한 딥러닝 기반 요구조자 탐지 알고리즘)

  • Kim, Da-hyeon;Park, Man-bok;Ahn, Jun-ho
    • Journal of Internet Computing and Services
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    • v.23 no.4
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    • pp.57-64
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    • 2022
  • If the inside of a building collapses due to a disaster such as fire, collapse, or natural disaster, the physical security inside the building is likely to become ineffective. Here, physical security is needed to minimize the human casualties and physical damages in the collapsed building. Therefore, this paper proposes an algorithm to minimize the damage in a disaster situation by fusing existing research that detects obstacles and collapsed areas in the building and a deep learning-based object detection algorithm that minimizes human casualties. The existing research uses a single camera to determine whether the corridor environment in which the robot is currently located has collapsed and detects obstacles that interfere with the search and rescue operation. Here, objects inside the collapsed building have irregular shapes due to the debris or collapse of the building, and they are classified and detected as obstacles. We also propose a method to detect rescue requesters-the most important resource in the disaster situation-and minimize human casualties. To this end, we collected open-source disaster images and image data of disaster situations and calculated the accuracy of detecting rescue requesters in disaster situations through various deep learning-based object detection algorithms. In this study, as a result of analyzing the algorithms that detect rescue requesters in disaster situations, we have found that the YOLOv4 algorithm has an accuracy of 0.94, proving that it is most suitable for use in actual disaster situations. This paper will be helpful for performing efficient search and rescue in disaster situations and achieving a high level of physical security, even in collapsed buildings.

Comparison of Winter Hardiness in Orchardgrass Varieties (Orchargrass 품종의 월동성 비교)

  • 이주삼;강만석;한학석;한성윤;김기준
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.12 no.4
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    • pp.218-225
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    • 1992
  • This experiment was carried out to compare the varietal differences of winter hardiness based on the values of winter hardiness index(W1) and the dry weight of plant per relative tiller appearance rate (DWIRTAR), and the evaluate the method of measurements for winter hardiness in 17 orchardgrass varieties grown under mountainous area of Tackwalyon, Kangwon-do. Korea. The results were summarized as follows: 1. Seedling vigours(SV) of plant before wintering indicated highly significant negative correlation with the dry weight of 1st cutting(DW) and the dry weight of plant per relative tiller appearance rates (DWIRTAR). 2. The dry weight of 1st cutting(DW) indicated significant positive correlations with the number of tillers per plant(NT). dry weight of a tiller(WT), lield survival rate(SR). heading rate(HR) and the dry weight of heading tillers(HDW). 3. Correlation coefficients of the dry weight of 1st cutting(DW) with winter hardiness index(W1) was 0.499(p<0.05), and the dry weight of plant per relative tiller appearance rates(DW/RTAR) was 0.895(p<0.001), respectively. 4. Between the winter hardiness index(W1) and field survival rate(SR) showed highly significant positive correlation(p<0.001). And, the dry weight of plant per relative tiller appearance rates(DW/RTAR) showed highly significant positive correlation(p<0.001) with the dry weight of a tiller(WT) and the dry weight of heading tillers(HDW). 5. The varieties were classified into 2 groups by winter hardiness index(W1). The 13 varieties of Hallmark. lna, Rancho, Amba, Filippa, Sparta, Hokuto, Kitamidori, Okamidori, Wasemidori, Shinyo, Potomac and Summer-green belong to the group of W1)100, and 4 varieties of Able, Juno, Napier and Jesper belong to the group of WI(100, respectively. 6. And, also classified into 2 groups by the dry weight of plant per relative tiller appearance rates (DWIRTAR). The 4 varieties of Amba, Okamidori, Wasemidori and Summer-green belong to the group of DW1RTAR)l.O and 13 varieties of Able, Hallmark, Ina, Juno, Napier, Rancho, Filippa. Jesper, Sparta, Hokuto, Kitamidori, Shinyo and Potomac belong to the group of DW/RTAR(1.0, respectively. The variety with DW/RTAR)I.O is belong to the group of high potential winter hardiness, and also obtained a high values over the 100 of winter hardiness index(W1). 7. The dry weight of plant per relative tiller appearance rates(DW/RTAR) may be a very useful ecological character to evaluate the potential winter hardiness of orchardgrass varieties grown under mountainous area of Taekwalyon(altitudinal ranges about 800m).

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Development of Cloud Detection Method Considering Radiometric Characteristics of Satellite Imagery (위성영상의 방사적 특성을 고려한 구름 탐지 방법 개발)

  • Won-Woo Seo;Hongki Kang;Wansang Yoon;Pyung-Chae Lim;Sooahm Rhee;Taejung Kim
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1211-1224
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    • 2023
  • Clouds cause many difficult problems in observing land surface phenomena using optical satellites, such as national land observation, disaster response, and change detection. In addition, the presence of clouds affects not only the image processing stage but also the final data quality, so it is necessary to identify and remove them. Therefore, in this study, we developed a new cloud detection technique that automatically performs a series of processes to search and extract the pixels closest to the spectral pattern of clouds in satellite images, select the optimal threshold, and produce a cloud mask based on the threshold. The cloud detection technique largely consists of three steps. In the first step, the process of converting the Digital Number (DN) unit image into top-of-atmosphere reflectance units was performed. In the second step, preprocessing such as Hue-Value-Saturation (HSV) transformation, triangle thresholding, and maximum likelihood classification was applied using the top of the atmosphere reflectance image, and the threshold for generating the initial cloud mask was determined for each image. In the third post-processing step, the noise included in the initial cloud mask created was removed and the cloud boundaries and interior were improved. As experimental data for cloud detection, CAS500-1 L2G images acquired in the Korean Peninsula from April to November, which show the diversity of spatial and seasonal distribution of clouds, were used. To verify the performance of the proposed method, the results generated by a simple thresholding method were compared. As a result of the experiment, compared to the existing method, the proposed method was able to detect clouds more accurately by considering the radiometric characteristics of each image through the preprocessing process. In addition, the results showed that the influence of bright objects (panel roofs, concrete roads, sand, etc.) other than cloud objects was minimized. The proposed method showed more than 30% improved results(F1-score) compared to the existing method but showed limitations in certain images containing snow.

A Study on the Verification of an Indoor Test of a Portable Penetration Meter Using the Cone Penetration Test Method (자유낙하 콘관입시험법을 활용한 휴대용 다짐도 측정기의 실내시험을 통한 검증 연구)

  • Park, Geoun Hyun;Yang, An Seung
    • Journal of the Korean GEO-environmental Society
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    • v.20 no.2
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    • pp.41-48
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    • 2019
  • Soil compaction is one of the most important activities in the area of civil works, including road construction, airport construction, port construction and backfilling construction of structures. Soil compaction, particularly in road construction, can be categorized into subgrade compaction and roadbed compaction, and is significant work that when done poorly can serve as a factor causing poor construction due to a lack of compaction. Currently, there are many different types of compaction tests, and the plate bearing test and the unit weight of soil test based on the sand cone method are commonly used to measure the degree of compaction, but many other methods are under development as it is difficult to secure economic efficiency. For the purpose of this research, a portable penetration meter called the Free-Fall Penetration Test (FFPT) was developed and manufactured. In this study, a homogeneous sample was obtained from the construction site and soil was classified through a sieve analysis test in order to perform grain size analysis and a specific gravity test for an indoor test. The principle of FFPT is that the penetration needle installed at the tip of an object put into free fall using gravity is used to measure the depth of penetration into the road surface after subgrade or roadbed compaction has been completed; the degree of compaction is obtained through the unit weight of soil test according to the sand cone method and the relationship between the degree of compaction and the depth of the penetration needle is verified. The maximum allowable grain size of soil is 2.36 mm. For $A_1$ compaction, a trend line was developed using the result of the test performed from a drop height of 10 cm, and coefficient of determination of the trend line was $R^2=0.8677$, while for $D_2$ compaction, coefficient of determination of the trend line was $R^2=0.9815$ when testing at a drop height of 20 cm. Free fall test was carried out with the drop height adjusted from 10 cm to 50 cm at increments of 10 cm. This study intends to compare and analyze the correlation between the degree of compaction obtained from the unit weight of soil test based on the sand cone method and the depth of penetration of the penetration needle obtained from the FFPT meter. As such, it is expected that a portable penetration tester will make it easy to test the degree of compaction at many construction sites, and will lead to a reduction in time, equipment, and manpower which are the disadvantages of the current degree of compaction test, ultimately contributing to accurate and simple measurements of the degree of compaction as well as greater economic feasibility.

A Study on the Traumatic Teeth Damage of Children (어린이의 외상성 치아손상에 관한 연구)

  • Yoo, Su-Min;Park, Ho-won
    • Journal of dental hygiene science
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    • v.4 no.1
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    • pp.21-25
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    • 2004
  • In modern times, children's trauma is increasing every year because of car accidents and life environment changes. There is a limit to prevent traumatic damage for oral cavity organization. The fundamental data of trauma treatment and prevention will be presented through the survey and analysis of traumatic teeth damage. I examined 113 patients from Oct. 4th, 2000 to Feb. 27th, 2004 at Dept. of Children's Dental Clinic, Kangnung National University. The results are as follows. (1) The trauma frequency of male subjects is higher than that of female at a rate of 2.05:1. The average age is 5.27 for men and 5.27 for women. The highest percentage of trauma patients is among 2 year old children. It is 21.2%. (2) A patient survey was taken at a trauma treatment hospital. On the first day 34.4% of the patients had come to receive treatment of their first set of teeth. However, after a week, 38.8% of the patients had received treatment on their permanent teeth. (3) As a result of falling, 59% of patients needing treatment on their first set of teeth. 55.1% of patients is permanent teeth. As a result of bump against physical solid, 26.6% of patients is the first set of teeth and 26.5% of patients is permanent teeth. (4) Teeth damage happened at home. 42.1% were male. 35.1% were female. According to trauma, 59.4% of teeth damage happened at home. 28.6% of permanent teeth damage happened at school or kindergarten. (5) According to trauma, the number of teeth damaged was in the first set of teeth are as follows: 56.3%, one-31.3%, three or four-6.3% each. For permanent teeth: two-46.9%, one-28.6%, four over-16.3% and three-8.2%. Over four teeth is larger number for permanent teeth. (6) 56% of first set of teeth patients and 43.4% of permanent teeth patients were male. 56.8% of first set of teeth patients and 43.2% of permanent teeth were female. Trauma happened to both male and female frequently in the first set of teeth. (7) Most of the tooth damage which was in the first set of teeth and permanent teeth was done to the upper jaw. 75% of patients are the first set of teeth. 63.8% of patients are permanent teeth. Trauma is very high in the two mid teeth of the upper jaw. (8) According to trauma survey, 30.2% is from impulse. 28.0% is from crown fracture, 14.7% is from depression. 8.9% is from concussion. 7.1% is from full dislocation of a joint. 2.2% of patients are extrusion. 1.8% is from displacement. According to teeth damage trauma, 35.8% is pulse in the first set of teeth. The breaking of the crown of a tooth happened a lot in permanent teeth. (9) According to data, 43.2% of teeth damage in the first set of teeth goes without treatment. In permanent teeth, it is 38.9%. After treatment, 22.0% of first set of teeth treatment requires a dental pulp treatment. In permanent teeth, which is used for temporary acid etching resin restoration.

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