• Title/Summary/Keyword: 융합도

Search Result 28,643, Processing Time 0.058 seconds

A historical study of the Large Banner, a symbol of the military dignity of the Late Joseon Dynasty (조선 후기 무위(武威)의 상징 대기치(大旗幟) 고증)

  • JAE, Songhee;KIM, Youngsun
    • Korean Journal of Heritage: History & Science
    • /
    • v.54 no.4
    • /
    • pp.152-173
    • /
    • 2021
  • The Large Banner was introduced during the Japanese Invasions of Korea with a new military system. It was a flag that controlled the movement of soldiers in military training. In addition, it was used in other ways, such as a symbol when receiving a king in a military camp, a flag raised on the front of a royal procession, at the reception and dispatch of envoys, and at a local official's procession. The Large Banner was recognized as a symbol of military dignity and training rites. The Large Banner was analyzed in the present study in the context of two different types of decorations. Type I includes chungdogi, gakgi and moongi. Type II includes grand, medium, and small obangi, geumgogi and pyomigi. Each type is decorated differently for each purpose. The size of the flag is estimated to be a square of over 4 ja long in length. Flame edges were attached to one side and run up and down The Large Banner used the Five Direction Colors based on the traditional principles of Yin-Yang and Five Elements. The pattern of the Large Banner is largely distinguished by four. The pattern of large obangi consists of divine beasts symbolizing the Five Directions and a Taoism amulet letter. The pattern of medium obangi features spiritual generals that escort the Five Directions. The pattern of small obangi has the Eight Trigrams. The pattern of moongi consists of a tiger with wings that keeps a tight watch on the army's doors. As for historical sources of coloring for Large Banner production, the color-written copy named Gije, from the collection of the Osaka Prefect Library, was confirmed as the style of the Yongho Camp in the mid to late 18th century, and it was also used for this essay and visualization work. We used Cloud-patterned Satin Damask as the background material for Large Banner production, to reveal the dignity of the military. The size of the 4 ja flag was determined to be 170 cm long and 145 cm wide, and the 5 ja flag was 200 cm long and 175 cm wide. The conversion formula used for this work was Youngjochuck (1 ja =30cm). In addition, the order of hierarchy in the Flag of the King was discovered within all flags of the late Joseon Dynasty. In the above historical study, the two types of Large Banner were visualized. The visualization considered the size of the flag, the decoration of the flagpole, and the patterns described in this essay to restore them to their original shape laid out the 18th century relics on the background. By presenting color, size, material patterns, and auxiliary items together, it was possible not only to produce 3D content, but also to produce real products.

Evaluation of satellite-based evapotranspiration and soil moisture data applicability in Jeju Island (제주도에서의 위성기반 증발산량 및 토양수분 적용성 평가)

  • Jeon, Hyunho;Cho, Sungkeun;Chung, Il-Moon;Choi, Minha
    • Journal of Korea Water Resources Association
    • /
    • v.54 no.10
    • /
    • pp.835-848
    • /
    • 2021
  • In Jeju Island which has peculiarity for its geological features and hydrology system, hydrological factor analysis for the effective water management is necessary. Because in-situ hydro-meteorological data is affected by surrounding environment, the in-situ dataset could not be the spatially representative for the study area. For this reason, remote sensing data may be used to overcome the limit of the in-situ data. In this study, applicability assessment of MOD16 evapotranspiration data, Globas Land Data Assimilation System (GLDAS) based evapotranspiration/soil moisture data, and Advanced SCATterometer (ASCAT) soil moisture product which were evaluated their applicability on other study areas was conducted. In the case of evapotranspiration, comparison with total precipitation and flux-tower based evapotranspiration were conducted. And for soil moisture, 6 in-situ data and ASCAT soil moisture product were compared on each site. As a result, 57% of annual precipitation was calculated as evapotranspiration, and the correlation coefficient between MOD16 evapotranspiration and GLDAS evapotranspiration was 0.759, which was a robust value. The correlation coefficient was 0.434, indicating a relatively low fit. In the case of soil moisture, in the case of the GLDAS data, the RMSE value was less than 0.05 at all sites compared to the in-situ data, and a statistically significant result was obtained as a result of the significance test of the correlation coefficient. However, for satellite data, RMSE over than 0.05 were found at Wolgak and there was no correlation at Sehwa and Handong points. It is judged that the above results are due to insufficient quality control and spatial representation of the evapotranspiration and soil moisture sensors installed in Jeju Island. It is estimated as the error that appears when adjacent to the coast. Through this study, the necessity of improving the existing ground observation data of hydrometeorological factors is emphasized.

Classification of Urban Green Space Using Airborne LiDAR and RGB Ortho Imagery Based on Deep Learning (항공 LiDAR 및 RGB 정사 영상을 이용한 딥러닝 기반의 도시녹지 분류)

  • SON, Bokyung;LEE, Yeonsu;IM, Jungho
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.24 no.3
    • /
    • pp.83-98
    • /
    • 2021
  • Urban green space is an important component for enhancing urban ecosystem health. Thus, identifying the spatial structure of urban green space is required to manage a healthy urban ecosystem. The Ministry of Environment has provided the level 3 land cover map(the highest (1m) spatial resolution map) with a total of 41 classes since 2010. However, specific urban green information such as street trees was identified just as grassland or even not classified them as a vegetated area in the map. Therefore, this study classified detailed urban green information(i.e., tree, shrub, and grass), not included in the existing level 3 land cover map, using two types of high-resolution(<1m) remote sensing data(i.e., airborne LiDAR and RGB ortho imagery) in Suwon, South Korea. U-Net, one of image segmentation deep learning approaches, was adopted to classify detailed urban green space. A total of three classification models(i.e., LRGB10, LRGB5, and RGB5) were proposed depending on the target number of classes and the types of input data. The average overall accuracies for test sites were 83.40% (LRGB10), 89.44%(LRGB5), and 74.76%(RGB5). Among three models, LRGB5, which uses both airborne LiDAR and RGB ortho imagery with 5 target classes(i.e., tree, shrub, grass, building, and the others), resulted in the best performance. The area ratio of total urban green space(based on trees, shrub, and grass information) for the entire Suwon was 45.61%(LRGB10), 43.47%(LRGB5), and 44.22%(RGB5). All models were able to provide additional 13.40% of urban tree information on average when compared to the existing level 3 land cover map. Moreover, these urban green classification results are expected to be utilized in various urban green studies or decision making processes, as it provides detailed information on urban green space.

Demand for the Radiological Technologist Independent Act for the Performance of the Duties of a Radiological Technologist (방사선사 직무수행을 위한 방사선사 단독법 제정에 대한 요구도)

  • Kim, Eun-Hye;Lim, Cheong-Hwan;Lim, Woo-Taek;Joo, Young-Cheol;Hong, Dong-Hee;Jung, Hong-Ryang;Moon, Young-Ju;Kim, Hoon;Jung, Young-Jin;Choi, Ji-Won;Yoon, Yong-Su;Cho, Pyong-Kon;Park, Myeong-Hwan;Yang, Oh-Nam;Jeong, Bong-Jae
    • Journal of radiological science and technology
    • /
    • v.44 no.5
    • /
    • pp.525-534
    • /
    • 2021
  • In order to provide high-quality medical services to the public and contribute to the improvement of public health, it is necessary to enact an independent law according to the work of radiological technologists. Therefore, this study intends to review the regulations related to radiographers in the Medical Service Technologists, etc. Act. and to present opinions and directions for enactment of individual laws for radiological technologists. An online survey was conducted to 15,000 radiological technologists working in medical institutions and education sites in Korea; 1,027 people (6.85%) responded. The questionnaire consisted of 3 questions on demographic characteristics, 5 questions on the scope of work, and 12 questions on the revision of the Medical Service Technologists, etc. Act. and the establishment of the Radiological Technologist Independent Act. Reliability and factor analysis were performed on 9 questions measured on a Likert 5-point scale in "Revision of the Medical Service Technologists, etc. Act. and the establishment of the Radiological echnologist Independent Act" among the questionnaire items. Reliability for the total 9 questions was Chronbach α=0.728. There was a high perception that the regulations related to radiological technologists were insufficient in the current Medical Service Technologists, etc. Act., and the perception that examinations performed by radiological technologists at medical institutions were included in medical practice was high. If the Radiological Technologist Independent Act is enforced, a high percentage of respondents said that they could receive legal protection through the institutionalization of the scope of work, that the status of radiological technologists would be improved, and the scope of work would be expanded. The response that the scope of work of radiological technologists should be included was the highest at 96.6%. In the analysis according to demographic characteristics, it was found that 96.7% of the respondents were agreed regardless of the factors. Radiological technologists will have to work hard to secure the public health by coping with new radiology devices, procedures and treatment methods. Therefore, as the results of this study, it is expected that the enactment and implementation of the Radiological Technologist Independent Act will contribute to the improvement of the quality of treatment for patients and to the public health.

Evaluation of applicability of linkage modeling using PHABSIM and SWAT (PHABSIM과 SWAT을 이용한 연계모델링 적용성 평가)

  • Kim, Yongwon;Byeon, Sangdon;Park, Jinseok;Woo, Soyoung;Kim, Seongjoon
    • Journal of Korea Water Resources Association
    • /
    • v.54 no.10
    • /
    • pp.819-833
    • /
    • 2021
  • This study is to evaluate applicability of linkage modeling using PHABSIM (Physical Habitat Simulation System) and SWAT (Soil and Water Assessment Tool) and to estimate ecological flow for target fishes of Andong downstream (4,565.7 km2). The SWAT was established considering 2 multi purpose dam (ADD, IHD) and 1 streamflow gauging station (GD). The SWAT was calibrated and validated with 9 years (2012 ~ 2020) data of 1 stream (GD) and 2 multi-purpose dam (ADD, IHD). For streamflow and dam inflows (GD, ADD and IHD), R2, NSE and RMSE were 0.52 ~ 0.74, 0.48 ~ 0.71, and 0.92 ~ 2.51 mm/day respectively. As a result of flow duration analysis for 9 years (2012 ~ 2020) using calibrated streamflow, the average Q185 and Q275 were 36.5 m3/sec (-1.4%) and 23.8 m3/sec (0%) respectively compared with the observed flow duration and were applied to flow boundary condition of PHABSIM. The target stream was selected as the 410 m section where GD is located, and stream cross-section and hydraulic factors were constructed based on Nakdong River Basic Plan Report and HEC-RAS. The dominant species of the target stream was Zacco platypus and the sub-dominant species was Puntungia herzi Herzenstein, and the HSI (Habitat Suitability Index) of target species was collected through references research. As the result of PHABSIM water level and velocity simulation, error of Q185 and Q275 were analyzed -0.12 m, +0.00 m and +0.06 m/s, +0.09 m/s respectively. The average WUA (Weighted Usable Area) and ecological flow of Zacco platypus and Puntungia herzi Herzenstein were evaluated 76,817.0 m2/1000m, 20.0 m3/sec and 46,628.6 m2/1000m, 9.0 m3/sec. This results indicated Zacco platypus is more adaptable to target stream than Puntungia herzi Herzenstein.

Comparative Research of Image Classification and Image Segmentation Methods for Mapping Rural Roads Using a High-resolution Satellite Image (고해상도 위성영상을 이용한 농촌 도로 매핑을 위한 영상 분류 및 영상 분할 방법 비교에 관한 연구)

  • CHOUNG, Yun-Jae;GU, Bon-Yup
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.24 no.3
    • /
    • pp.73-82
    • /
    • 2021
  • Rural roads are the significant infrastructure for developing and managing the rural areas, hence the utilization of the remote sensing datasets for managing the rural roads is necessary for expanding the rural transportation infrastructure and improving the life quality of the rural residents. In this research, the two different methods such as image classification and image segmentation were compared for mapping the rural road based on the given high-resolution satellite image acquired in the rural areas. In the image classification method, the deep learning with the multiple neural networks was employed to the given high-resolution satellite image for generating the object classification map, then the rural roads were mapped by extracting the road objects from the generated object classification map. In the image segmentation method, the multiresolution segmentation was employed to the same satellite image for generating the segment image, then the rural roads were mapped by merging the road objects located on the rural roads on the satellite image. We used the 100 checkpoints for assessing the accuracy of the two rural roads mapped by the different methods and drew the following conclusions. The image segmentation method had the better performance than the image classification method for mapping the rural roads using the give satellite image, because some of the rural roads mapped by the image classification method were not identified due to the miclassification errors occurred in the object classification map, while all of the rural roads mapped by the image segmentation method were identified. However some of the rural roads mapped by the image segmentation method also had the miclassfication errors due to some rural road segments including the non-rural road objects. In future research the object-oriented classification or the convolutional neural networks widely used for detecting the precise objects from the image sources would be used for improving the accuracy of the rural roads using the high-resolution satellite image.

Characteristics and Antioxidant Properties of Yanggaeng Containing Enzymatic Hydrolyzed White Ginseng or Red Ginseng (효소 가수분해 백삼, 홍삼을 첨가한 양갱의 품질특성 및 항산화 활성)

  • Suh, Hee-Jae
    • Journal of Food Hygiene and Safety
    • /
    • v.36 no.5
    • /
    • pp.418-429
    • /
    • 2021
  • This paper investigates the antioxidant activity and quality characteristics of yanggaeng containing white ginseng and red ginseng extracts and their enzyme hydrolysates that were produced for the purpose of the study. White and red ginseng extracts were hydrolyzed using Rapidase C80 max, Pyr-flo, and Ultimase MFC. Ginsenoside F2 and compound K (CK) were not detected in white and red ginseng before enzymic reaction but were detected in white and red ginseng hydrolyzed through Rapidase C80 max, Pyr-flo, and Ultimase MFC, and the content of CK was the highest in the second enzymic reaction group of red ginseng. Upon preparing yanggaeng containing white and red ginseng before or after enzymatic hydrolysis, the polyphenol content and antioxidant abilities were analyzed. The yanggaeng containing enzyme-hydrolyzed white ginseng and red ginseng showed greater total polyphenol content, superior DPPH radical scavenging activity, superior ABTS radical scavenging activity, and superior FRAP analysis results compared to the yanggaeng that doesn't contain white or red ginseng. As the enzymic reaction was performed in the added white and red ginseng, the antioxidant activity increased significantly (P<0.05). In brightness(L*), non-additive yanggaeng (control group) was the highest, red ginseng yanggaeng (RG) showed the highest redness(a*), and the white ginseng yanggaeng (WG) showed the highest yellowness(b*). In terms of texture, the yanggaeng containing red ginseng with second hydrolysis (RG-T2) showed significantly high results in hardness, springiness, chewiness, cohesiveness, and gumminess (P<0.05). In conclusion, treating white and red ginseng with Rapidase C80 max, Pyr-flo, and Ultimase MFC is very useful in ginsenoside deglycosylation and will produce CK with excellent biological activity. It can also be seen that yanggaeng containing white and red ginseng hydrolyzed with enzymes significantly increase total polyphenol and antioxidant activity compared to the control group (yanggaeng with no added ginseng). These results will be useful as excellent foundational data for the production of functional yanggaeng in the future.

Development of 3D Printed Snack-dish for the Elderly with Dementia (3D 프린팅 기술을 활용한 치매노인 전용 영양(수분)보충 식품섭취용기 개발)

  • Lee, Ji-Yeon;Kim, Cheol-Ho;Kim, Kug-Weon;Lee, Kyong-Ae;Koh, Kwangoh;Kim, Hee-Seon
    • Korean Journal of Community Nutrition
    • /
    • v.26 no.5
    • /
    • pp.327-336
    • /
    • 2021
  • Objectives: This study was conducted to create a 3D printable snack dish model for the elderly with low food or fluid intake along with barriers towards eating. Methods: The decision was made by the hybrid-brainstorming method for creating the 3D model. Experts were assigned based on their professional areas such as clinical nutrition, food hygiene and chemical safety for the creation process. After serial feedback processes, the grape shape was suggested as the final model. After various concept sketching and making clay models, 3D-printing technology was applied to produce a prototype. Results: 3D design modeling process was conducted by SolidWorks program. After considering Dietary reference intakes for Koreans (KDRIs) and other survey data, appropriate supplementary water serving volume was decided as 285 mL which meets 30% of Adequate intake. To consider printing output conditions, this model has six grapes in one bunch with a safety lid. The FDM printer and PLA filaments were used for food hygiene and safety. To stimulate cognitive functions and interests of eating, numbers one to six was engraved on the lid of the final 3D model. Conclusions: The newly-developed 3D model was designed to increase intakes of nutrients and water in the elderly with dementia during snack time. Since dementia patients often forget to eat, engraving numbers on the grapes was conducted to stimulate cognitive function related to the swallowing and chewing process. We suggest that investigations on the types of foods or fluids are needed in the developed 3D model snack dish for future studies.

Namnyeong-wie, Yun Eui-Seon's Everyday Clothes included in Wedding Gift List in 1837 (남녕위(南寧尉) 윤의선(尹宜善)의 1837년 「혼수발기」 속 부마 편복(便服) 고찰)

  • LEE, Eunjoo
    • Korean Journal of Heritage: History & Science
    • /
    • v.54 no.3
    • /
    • pp.68-89
    • /
    • 2021
  • In August 1837, a list of wedding gifts was given by Queen Sunwon (1789-1857) to her son-in-law, Namnyeong-wie, Yun Eui-Seon (1823-1887) at the wedding of Princess Deok-on (1822-1844). This Honsubalgi is now kept at the National Hangeul Museum. This text was used in the present study to examine the everyday clothes of the royal son-in-law in the early 19th century. First, the everyday clothes were organized into about 36 types. They were classified as tops, bottoms, hats, accessories, belts, pouches, fans and shoes. Second, the most important clothes were the ordinary formal attire, composed of the namgwangsa dopo and namgwangcho changui. As for the bottoms, the pants, the Chinese hemp leggings, two pairs of socks, the green silk belt, and a pair of light blue ankle ties were identified. Third, as for the head and accessories, there were heukrip, with the gemstone string and silk string, the jeong-ja-gwan and dong-pa-gwan, as well as tang-geon and bok-geon. And there were the sangtu-gwan, three types of donggos, and the mang-geon equipped with okgwanja. On the other hand, the jeong-ja-gwan and dong-pa-gwan are peculiar hats whose status has changed over time since the mid-18th century. The fact that the jeong-ja-gwan and dong-pa-gwan were given to Namnyeong-wie showed that the status of these hats improved in the early reign of King Heonjong. The belt was given with the sejodae that is suitable for the dangsang, the coral plates, and the silk bag containing a flint pouch. Fourth, there were the red-colored sejodae, a ssamji silk pouch for flint and the fan decorated with okseonchu, and shoes, such as unhye and danghye.

Improved Method of License Plate Detection and Recognition using Synthetic Number Plate (인조 번호판을 이용한 자동차 번호인식 성능 향상 기법)

  • Chang, Il-Sik;Park, Gooman
    • Journal of Broadcast Engineering
    • /
    • v.26 no.4
    • /
    • pp.453-462
    • /
    • 2021
  • A lot of license plate data is required for car number recognition. License plate data needs to be balanced from past license plates to the latest license plates. However, it is difficult to obtain data from the actual past license plate to the latest ones. In order to solve this problem, a license plate recognition study through deep learning is being conducted by creating a synthetic license plates. Since the synthetic data have differences from real data, and various data augmentation techniques are used to solve these problems. Existing data augmentation simply used methods such as brightness, rotation, affine transformation, blur, and noise. In this paper, we apply a style transformation method that transforms synthetic data into real-world data styles with data augmentation methods. In addition, real license plate data are noisy when it is captured from a distance and under the dark environment. If we simply recognize characters with input data, chances of misrecognition are high. To improve character recognition, in this paper, we applied the DeblurGANv2 method as a quality improvement method for character recognition, increasing the accuracy of license plate recognition. The method of deep learning for license plate detection and license plate number recognition used YOLO-V5. To determine the performance of the synthetic license plate data, we construct a test set by collecting our own secured license plates. License plate detection without style conversion recorded 0.614 mAP. As a result of applying the style transformation, we confirm that the license plate detection performance was improved by recording 0.679mAP. In addition, the successul detection rate without image enhancement was 0.872, and the detection rate was 0.915 after image enhancement, confirming that the performance improved.