• Title/Summary/Keyword: And Location Environments

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The Relationship Between the Locational Types and Biodiversity in the Sites of Geumgang Riparian Ecological Belts

  • Kang, Hyun-Kyung
    • Journal of People, Plants, and Environment
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    • v.23 no.3
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    • pp.293-304
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    • 2020
  • Background and objective: This study was carried out to assess the relationship between the internal and external environments and the ecological items in five sites with a high level of artificial use intensity prior to the establishment of Geumgang River riparian ecological belts. Methods: The sites were classified into forest type, cultivated land type and urbanized type in accordance with their respective locational types. Ecological items including plant ecology such as proportion, naturalization index and urbanization index of native species were analyzed and animal ecology such as the number of species and population of wild birds, amphibians and reptiles, mammals, and butterflies and dragonflies, which are indicator insects, were investigated. In addition, species diversity indices of wild birds, butterflies and dragonflies found in all the subject lands were computed. Results: Among the plant ecological items, the ratio of native species in the forest type was higher than 90%, which was a satisfactory level, while the naturalization and urbanization indices were less than 10%. The number of species in the animal ecological characteristics was reduced in the order of forest type, cultivated land type and urbanized type. As the results of correlation analysis, the internal area of the planted area showed a negative correlation with the total of individuals. The area of grasslands showed a positive correlation with the number of dragonfly species and the total number of individuals, thereby illustrating that wet grasslands have positive effects. The area of surrounding forests, as an external environment, had a negative correlation with the urbanization index (UI) but a positive correlation with the inhabitation of butterflies and the total number of species. Conclusion: The results confirmed the need for more diversified special compositions including planted land, grassland, wetland, bodies of water and waterways within the subject land in the wetland ecological belt along with the need for surrounding forest location and preservation from the perspective of purchase and restoration of land for enhancement of wider biodiversity in the future.

Bioimage Analyses Using Artificial Intelligence and Future Ecological Research and Education Prospects: A Case Study of the Cichlid Fishes from Lake Malawi Using Deep Learning

  • Joo, Deokjin;You, Jungmin;Won, Yong-Jin
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • v.3 no.2
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    • pp.67-72
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    • 2022
  • Ecological research relies on the interpretation of large amounts of visual data obtained from extensive wildlife surveys, but such large-scale image interpretation is costly and time-consuming. Using an artificial intelligence (AI) machine learning model, especially convolution neural networks (CNN), it is possible to streamline these manual tasks on image information and to protect wildlife and record and predict behavior. Ecological research using deep-learning-based object recognition technology includes various research purposes such as identifying, detecting, and identifying species of wild animals, and identification of the location of poachers in real-time. These advances in the application of AI technology can enable efficient management of endangered wildlife, animal detection in various environments, and real-time analysis of image information collected by unmanned aerial vehicles. Furthermore, the need for school education and social use on biodiversity and environmental issues using AI is raised. School education and citizen science related to ecological activities using AI technology can enhance environmental awareness, and strengthen more knowledge and problem-solving skills in science and research processes. Under these prospects, in this paper, we compare the results of our early 2013 study, which automatically identified African cichlid fish species using photographic data of them, with the results of reanalysis by CNN deep learning method. By using PyTorch and PyTorch Lightning frameworks, we achieve an accuracy of 82.54% and an F1-score of 0.77 with minimal programming and data preprocessing effort. This is a significant improvement over the previous our machine learning methods, which required heavy feature engineering costs and had 78% accuracy.

Research on unsupervised condition monitoring method of pump-type machinery in nuclear power plant

  • Jiyu Zhang;Hong Xia;Zhichao Wang;Yihu Zhu;Yin Fu
    • Nuclear Engineering and Technology
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    • v.56 no.6
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    • pp.2220-2238
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    • 2024
  • As a typical active equipment, pump machinery is widely used in nuclear power plants. Although the mechanism of pump machinery in nuclear power plants is similar to that of conventional pumps, the safety and reliability requirements of nuclear pumps are higher in complex operating environments. Once there is significant performance degradation or failure, it may cause huge security risks and economic losses. There are many pumps mechanical parameters, and it is very important to explore the correlation between multi-dimensional variables and condition. Therefore, a condition monitoring model based on Deep Denoising Autoencoder (DDAE) is constructed in this paper. This model not only ensures low false positive rate, but also realizes early abnormal monitoring and location. In order to alleviate the influence of parameter time-varying effect on the model in long-term monitoring, this paper combined equidistant sampling strategy and DDAE model to enhance the monitoring efficiency. By using the simulation data of reactor coolant pump and the actual centrifugal pump data, the monitoring and positioning capabilities of the proposed scheme under normal and abnormal conditions were verified. This paper has important reference significance for improving the intelligent operation and maintenance efficiency of nuclear power plants.

Analysis of 809 Facial Bone Fractures in a Pediatric and Adolescent Population

  • Kim, Sang Hun;Lee, Soo Hyang;Cho, Pil Dong
    • Archives of Plastic Surgery
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    • v.39 no.6
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    • pp.606-611
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    • 2012
  • Background Facial fractures are infrequent in children and adolescents and have different clinical features from those in adults. The low incidence in children and adolescents reflects the flexibility and underdevelopment of their facial skeletons, as well as their more protected environments. Only a few reports have reviewed such patients in Korea. The authors performed a retrospective study to analyze the characteristics of facial fractures in the Korean pediatric population. Methods We conducted a retrospective review on a series of 741 patients, aged <18 years, with facial fractures who had been treated at our hospital between 2006 and 2010. The following parameters were evaluated: age, sex, cause, location and type of fractures, associated injuries, treatment and complications. Results A total of 741 consecutive patients met the inclusion criteria. The ratio of boys to girls was 5.7:1. Facial fractures most commonly occurred in patients between 13 and 15 years of age (36.3%). The most common causes of injury was violence. The nasal fracture was the most common type of fracture (69%) and the blowout fracture was the second most common (20%). Associated injuries occurred in 156 patients (21%). Conclusions The incidence of pediatric facial fractures caused by violence is high in Korea. Our results show that as age increases, etiological factors and fracture patterns gradually shift towards those found in adults. This study provides an overview of facial fractures in these age groups that helps illustrate the trends and characteristics of the fractures and may be helpful in further evaluation and management.

Analysis of the Satisfaction with Computer Based Test Program and Test Environment in Medical School (의과대학의 컴퓨터기반시험 프로그램 및 시험환경 만족도 분석)

  • Kim, Soon Gu;Lee, Aehwa;Hwang, Ilseon
    • Korean Medical Education Review
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    • v.22 no.3
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    • pp.198-206
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    • 2020
  • This study aimed to identify needed improvements to current evaluation methods in medical school computer-based test (CBT) programs and test environments. To that end, an analysis of the importance and satisfaction was conducted through a survey of 3rd and 4th year medical students who had sufficient experience with CBT programs. Importance performance analysis methodology using the correlation coefficient was applied to assess average satisfaction and importance. The first quadrant (keep up the good work) was a factor of review and time management and test facilities among the conveniences of the CBT program. The second quadrant (concentrate here) was a factor of the convenience of the CBT program and computer monitor and chair factor within the test facilities. The third quadrant (low priority) was a factor of cheating and computer failure. The fourth quadrant (possible overkill) was the location, spacing, and temperature factors of the test facilities. Improvements are needed to reduce 'eye fatigue' and help students focus and understand the questions in the CBT programs. It is necessary to improve computer monitors, desks and chairs, and consider the subject's body type and manager in order to cope with computer breakdown and peripheral failures. Spare computers are needed. These findings are meaningful in that they have been able to identify factors that require improvement in the CBT program and test environment resulting from changes in assessment tools.

Landscape Design for the Buchon Special School (부천특수학교 조경설계)

  • 김신원;이시영
    • Journal of the Korean Institute of Landscape Architecture
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    • v.30 no.3
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    • pp.57-63
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    • 2002
  • This landscape design was proposed for the Buchon Special School Competition, held by the Kyonggi Province Office of Education. The authors collaborated on this design and won first prize in November of 2001. In the design proposal, on the basis of the knowledge of; mentally retarded children the children's activities, nature and health, and the healing gardens, the special school outdoor spaces were designed to meet the particular needs of the users. The school outdoor spaces are design for various types of users-children, adolescents, parents, siblings, staff, volunteers and visitors. The following are some of the basis concerns in the design of the school outdoor spaces : garden site planning, garden location, security, microclimate, entering and exiting, accessibility, usability, user group territories, supervision, attracting trained volunteers, a range of high-quality social settings, accommodation of different student types, accommodation of needs for both challenge and rest, child nature interaction, diversity of natural settings, hands-on activity, integrating the arts, and maintenance. The following are some of the major features in the design of school outdoor spaces : pleasant and inviting entry areas, sports grounds with different levels of challenge, gardens with plants having strong fragrances and/or tactile qualities, resting places with many types and forms of seating and weather-mitigating features, play grounds for all student types, roof gardens for users to experience nature in man-made environments, and walkways and winding paths with various trees, shrubs and flowers. In the special school outdoor spaces, people would perceive a unique sense of place through the various types of spaces and features described above. An example of the true meaning of a playing and resting place and a restorative and therapeutic environment is provided in the school outdoor spaces.

Transonic buffet alleviation on 3D wings: wind tunnel tests and closed-loop control investigations

  • Lepage, Arnaud;Dandois, Julien;Geeraert, Arnaud;Molton, Pascal;Ternoy, Frederic;Dor, Jean Bernard;Coustols, Eric
    • Advances in aircraft and spacecraft science
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    • v.4 no.2
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    • pp.145-167
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    • 2017
  • The presented paper gives an overview of several projects addressing the experimental characterization and control of the buffet phenomenon on 3D turbulent wings in transonic flow conditions. This aerodynamic instability induces strong wall pressure fluctuations and therefore limits flight domain. Consequently, to enlarge the latter but also to provide more flexibility during the design phase, it is interesting to try to delay the buffet onset. This paper summarizes the main investigations leading to the achievement of open and closed-loop buffet control and its experimental demonstration. Several wind tunnel tests campaigns, performed on a 3D half wing/fuselage body, enabled to characterize the buffet aerodynamic instability and to study the efficiency of innovative fluidic control devices designed and manufactured by ONERA. The analysis of the open-loop databases demonstrated the effects on the usual buffet characteristics, especially on the shock location and the separation areas on the wing suction side. Using these results, a closed-loop control methodology based on a quasi-steady approach was defined and several architectures were tested for various parameters such as the input signal, the objective function, the tuning of the feedback gain. All closed-loop methods were implemented on a dSPACE device able to estimate in real time the fluidic actuators command calculated mainly from the unsteady pressure sensors data. The efficiency of delaying the buffet onset or limiting its effects was demonstrated using the quasi-steady closed-loop approach and tested in both research and industrial wind tunnel environments.

Diagnostic Ability of High-definition Imaging Using Ultraslim Endoscopes in Early Gastric Cancer

  • Sugita, Tomomi;Suzuki, Sho;Ichijima, Ryoji;Ogura, Kanako;Kusano, Chika;Ikehara, Hisatomo;Gotoda, Takuji;Moriyama, Mitsuhiko
    • Journal of Gastric Cancer
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    • v.21 no.3
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    • pp.246-257
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    • 2021
  • Purpose: It is unclear whether high-definition (HD) imaging improves visibility and diagnostic ability in early gastric cancer (EGC) compared with standard-definition (SD) imaging. We aimed to compare the diagnostic performance and visibility scores of HD and SD ultraslim endoscopes in EGC. Materials and Methods: We used HD and SD ultraslim endoscopes to obtain 60 images with similar compositions of gastric environments. Of the 60 images, 30 showed EGC (15 images for each modality) and 30 showed no EGC (15 images for each modality). Seventeen endoscopists evaluated the presence and location of the lesions in each image. Diagnostic ability was compared between modalities. The color difference between a lesion and the surrounding mucosa (ΔE) was measured and compared between the modalities. Results: The ability of HD to detect EGC was significantly higher than that of SD (accuracy: 80.8% vs. 71.6%, P=0.017; sensitivity: 94.9% vs. 76.5%, P<0.001; positive predictive value, 76.2% vs. 55.3%, P<0.001; and negative predictive value (NPV), 94.1% vs. 73.5%, P<0.001). The ability of HD to determine the horizontal extent of EGC was significantly higher than that of SD (accuracy: 71.0% vs. 57.8%, P=0.004; sensitivity: 75.3% vs. 49.0%, P<0.001; NPV, 72.9% vs. 55.9%, P<0.001; and area under the curve: 0.891 vs. 0.631, P=0.038). The mean ΔE was significantly higher for HD than for SD (10.3 vs. 5.9, P=0.011). Conclusions: The HD ultraslim endoscope showed a higher diagnostic performance in EGC than the SD endoscope because it provided good color contrast.

Standard Model for Mobile Forensic Image Development

  • Sojung, Oh;Eunjin, Kim;Eunji, Lee;Yeongseong, Kim;Gibum, Kim
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.2
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    • pp.626-643
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    • 2023
  • As mobile forensics has emerged as an essential technique, the demand for technology development, education and training is increasing, wherein images are used. Academic societies in South Korea and national institutions in the US and the UK are leading the Mobile Forensic Image development. However, compared with disks, images developed in a mobile environment are few cases and have less active research, causing a waste of time, money, and manpower. Mobile Forensic Images are also difficult to trust owing to insufficient verification processes. Additionally, in South Korea, there are legal issues involving the Telecommunications Business Act and the Act on the Protection and Use of Location Information. Therefore, in this study, we requested a review of a standard model for the development of Mobile Forensic Image from experts and designed an 11-step development model. The steps of the model are as follows: a. setting of design directions, b. scenario design, c. selection of analysis techniques, d. review of legal issues, e. creation of virtual information, f. configuring system settings, g. performing imaging as per scenarios, h. Developing a checklist, i. internal verification, j. external verification, and k. confirmation of validity. Finally, we identified the differences between the mobile and disk environments and discussed the institutional efforts of South Korea. This study will also provide a guideline for the development of professional quality verification and proficiency tests as well as technology and talent-nurturing tools. We propose a method that can be used as a guide to secure pan-national trust in forensic examiners and tools. We expect this study to strengthen the mobile forensics capabilities of forensic examiners and researchers. This research will be used for the verification and evaluation of individuals and institutions, contributing to national security, eventually.

Analysis of University Cafeteria Safety Based on Pathfinder Simulation

  • Zechen Zhang;Jaewook Lee;Hasung Kong
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.2
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    • pp.209-217
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    • 2024
  • Recent years have seen a notable increase in fire incidents in university cafeterias, yet the social attention to these occurrences remains limited. Despite quick responses to these incidents preventing loss of life, the need for large-scale evacuation in such high foot traffic areas can cause significant disruptions, economic losses, and panic among students. The potential for stampedes and unpredictable damage during inadequate evacuations underscores the importance of fire safety and evacuation research in these settings. Previous studies have explored evacuation models in various university environments, emphasizing the influence of environmental conditions, personal characteristics, and behavioral patterns on evacuation efficiency. However, research specifically focusing on university cafeterias is scarce. This paper addresses this gap by employing Pathfinder software to analyze fire spread and evacuation safety in a university cafeteria. Pathfinder, an advanced emergency evacuation assessment system, offers realistic 3D simulations, crucial for intuitive and scientific evacuation analysis. The studied cafeteria, encompassing three floors and various functional areas, often exceeds a capacity of 1500 people, primarily students, during peak times. The study includes constructing a model of the cafeteria in Pathfinder and analyzing evacuation scenarios under different fire outbreak conditions on each floor. The paper sets standard safe evacuation criteria (ASET > RSET) and formulates three distinct evacuation scenarios, considering different fire outbreak locations and initial evacuation times on each floor. The simulation results reveal the impact of the fire's location and the evacuation preparation time on the overall evacuation process, highlighting that fires on higher floors or longer evacuation preparation times tend to reduce overall evacuation time.In conclusion, the study emphasizes a multifaceted approach to improve evacuation safety and efficiency in educational settings. Recommendations include expanding staircase widths, optimizing evacuation routes, conducting regular drills, strengthening command during evacuations, and upgrading emergency facilities. The use of information and communication technology for managing emergencies is also suggested. These measures collectively form a comprehensive framework for ensuring safety in educational institutions during fire emergencies.