• Animal Systematics, Evolution and Diversity
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• 제36권4호
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• pp.347-353
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• 2020

Although sea slaters Ligia have a significant role in rocky shore habitats, their taxonomic entities have not been clearly understood. In this study, we investigated whether genetic variation inferred from a nuclear genetic marker, namely amplified fragment length polymorphism (AFLP), would conform to that of a mitochondrial DNA marker. Using both the mitochondrial DNA marker and the AFLP marker amplified by the six selective primer sets, we analyzed 95 Ligia individuals from eight locations from East Asia. The direct sequencing of mitochondrial 16S rRNA gene revealed three distinct genetic lineages, with 9.8-11.7 Kimura 2-parameter genetic distance. However, the results of AFLP genotyping analysis with 691 loci did not support those of mitochondrial DNA, and revealed an unexpectedly high proportion of shared polymorphisms among lineages. The inconsistency between the two different genetic markers may be explained by difference in DNA evolutionary history, for example inheritance patterns, effective population size, and mutation rate. The other factor is a possible genomic island of speciation, in that most of the genomic parts are shared among lineages, and only a few genomic regions have diverged.

• 디지털산업정보학회논문지
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• 제18권2호
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• pp.77-91
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• 2022

Social innovation refers to activities that solve social problems by developing new ideas in cooperation with actors close to the field for the purpose of preserving the sustainability of society. In the field of social innovation, voices calling for a bottom-up method that starts with citizen participation are growing, and the need to improve public officials' awareness of social innovation and strengthen professionalism is being raised. In the era of Covid 19 and the 4th industrial revolution, digital literacy is being emphasized to us. In the field of social innovation, the need to strengthen social activities using digital media is growing. In this paper, an example of online social innovation project education based on the design thinking methodology was presented for public officials in Busan to improve their awareness of social innovation and secure expertise, and the effect of job competency reinforcement was statistically verified. As a result of statistical analysis, the average difference between the 'online communication' factor and the 'online empathy' factor was the largest, and it can be interpreted that digital literacy for social innovation has been strengthened.

• Geomechanics and Engineering
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• 제32권6호
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• pp.627-637
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• 2023

Volleyball is an international sport with many fans. This sport has made significant progress in schools and clubs. Volleyball is suitable for all age groups and can be used in different environments. It has many social and physical benefits. During the game provides special physical training for the players and is considered one of the most exciting games. Another type of volleyball is beach volleyball, a beach sport and one of the Olympic sports held on the sand with the same rules as volleyball. This sport is usually played in coastal areas, especially with wide sandy beaches. Because this sport is played in open spaces, the players stay in this space for a long time and are exposed to dangerous ultraviolet radiation. It is a wavelength of light in the range of electromagnetic waves with a wavelength between 10 and 400 nm. This wavelength is shorter than visible light and more protracted than X-ray. Ultraviolet (UV) rays are naturally present in sunlight and include about 10% of all waves emitted from the sun's surface. Prolonged exposure to ultraviolet light causes acute and chronic damage to the skin and vision and even destroys the entire immune system. Different covers of the earth's surface reflect different amounts of UV rays. For example, snow cover, sand, and seawater surface reflect this radiation. Therefore, the health of volleyball players is in danger due to this harmful radiation. This work aims to introduce a type of clothing made of nanoparticles that can repel ultraviolet rays and protect beach volleyball players whose health is at risk from this radiation.

• 한국산업융합학회 논문집
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• 제26권2_1호
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• pp.217-223
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• 2023

With the rapid advancement of technologies, need for different research fields where this technology can be used is also increasing. One of the most researched topic in computer vision is object detection, which has widely been implemented in various fields which include healthcare, video surveillance and education. The main goal of object detection is to identify and categorize all the objects in a target environment. Specifically, methods of object detection consist of a variety of significant techniq ues, such as image processing and patterns recognition. Anomaly detection is a part of object detection, anomalies can be found various scenarios for example crowded places such as subway stations. An abnormal event can be assumed as a variation from the conventional scene. Since the abnormal event does not occur frequently, the distribution of normal and abnormal events is thoroughly imbalanced. In terms of public safety, abnormal events should be avoided and therefore immediate action need to be taken. When abnormal events occur in certain places, real time detection is required to prevent and protect the safety of the people. To solve the above problems, we propose a modified YOLOv5 object detection algorithm by implementing dilated convolutional layers which achieved 97% mAP50 compared to other five different models of YOLOv5. In addition to this, we also created a simple mobile application to avail the abnormal event detection on mobile phones.

• Journal of applied mathematics & informatics
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• 제40권1_2호
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• pp.47-59
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• 2022

This paper concerns the problem of simultaneous fault detection and disturbance reject control(SFDDRC) for a class of linear time-invariant system. In the framework of fault detection, residual generators are required to be robust to disturbances existing in the system. Different from most of the existing simultaneous fault and control(SFDC) methods, SFDDRC rejects the influences of disturbances on residual generators by disturbance observer-based control(DOBC). This not only effectively improves the accuracy of fault detection, but also solves the problem that most of the existing SFDC methods require that the disturbance must be bounded. Finally, a numerical example is given to verify the validity of the method.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 가을 학술논문 발표대회
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• pp.223-224
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• 2021

The process before the model learning stage in AI R&D can be subdivided into data collection/cleansing-data purification-data labeling. After that, according to the purpose of development, it goes through a stage of verifying the model by performing learning by using the algorithm of the artificial intelligence model. Several studies describe an important part of AI research as the learning stage, and try to increase the accuracy by changing the structure and layer of the AI model. However, if the refinement and labeling process of the learning data is tailored only to the model format and is not made for the purpose of development, the desired AI model cannot be obtained. The latest research reveals that most AI research failures are the failure of the learning data rather than the structure of the AI model. analyzed.

• 한국지형학회지
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• 제26권1호
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• pp.1-14
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• 2019

Large landslide is a type of mass movement that causes drastic landform changesin a short period, and it causes huge human and property damage over a large area. The purpose of this study is to categorize the types and characteristics of large landslides around the Kokomeren River basin, Kyrgyzstan and to discuss the geomorphic development after the large landslides. The topographic analysis about a total of 20 landslides documented collapsed volumes of 0.01 to 1.10 km³, height drops of 180 to 1,770 m, and runout distances of 1,200 to 5,400 m. Rock avalanche and rockslide are identified as major types of large-scale landslides in the study area. Rock avalanches can be divided into P-type, J-type, and S-type based on the features of slope failure and kinematic characteristics of rock debris. Landslide synchronistic landforms such as trimlines, transverse ridges, longitudinal ridges, levees, and hummocks are well developed in the rock avalanche. The pieces of evidence of landslide dam, landslide-dammed lake, and remnant outburst flood deposits are observed in the upstream and downstream where the rockslides occurred. The Ak-Kiol landslide dam is the best example of a geomorphic development due to lake spillover and the large landslides were likely to be triggered by huge paleo-seismic events.

• Human Ecology Research
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• 제61권3호
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• pp.281-295
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• 2023

This study examined consumer attitudes and intentions to participate in reward-based crowdfunding projects for fashion products. We focused on consumer innovation, price sensitivity, conformity, and consumer values as factors that might influence such attitudes and intentions. A survey was conducted with 228 individuals aged 18 years and older who are aware of or have had experience using crowdfunding. Respondents were asked to answer questions based on the example of actual fashion crowdfunding projects. To analyze the data, reliability tests, the generation of descriptive statistics, factor analysis, and multiple regression were performed using SPSS 25.0. The results revealed that consumer innovativeness, non-conforming tendency, and emotional, quality, social, and ethnical consumer values had a significant influence on attitudes, which in turn affected intentions to participate in crowdfunding. Consumer innovativeness, price sensitivity, emotional value, and social value also had a direct influence on intentions to participate. In addition to its academic contribution, this study has important marketing implications for project initiators striving to identify and understand consumers who are willing to participate in reward-based crowdfunding for fashion products.

• 한국의상디자인학회지
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• 제26권1호
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• pp.33-44
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• 2024

This study developed e-book content in order to use e-books as a tool to provide more efficient classes to learners who are familiar with smart devices and online spaces. E-book contents were produced using Sigil-0.9.10. The development process is as follows. Before e-book development, it is necessary to prepare manuscript files, image files to be inserted, fonts to be used, and e-book covers. After inserting the book cover images, it is necessary to register the table of contents using the title tag and register the free fonts. Also, a style must be created for text or images used in the main text connected to a file containing the entire text. Then, after separating the entire text file into separate files according to each chapter, the text is completed in turn. E-books were produced focusing on hyperlink functions so that educational content and various example images could be accessed. Currently, there is a lack of research on e-books as textbooks in universities within the fashion design major. In the future, if e-book contents are developed according to the characteristics of courses and the level of learners, they can be used as effective teaching tools.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.209-214
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• 2024

This is an extended research paper focusing on the applications of Machine Learing and Artificial Intelligence in virtual learning environment. The world is moving at a fast pace having the application of Machine Learning (ML) and Artificial Intelligence (AI) in all the major disciplines and the educational sector is also not untouched by its impact especially in an online learning environment. This paper attempts to elaborate on the benefits of ML and AI in E-Learning (EL) in general and explain how King Khalid University (KKU) EL Deanship is making the best of ML and AI in its practices. Also, researchers have focused on the future of ML and AI in any academic program. This research is descriptive in nature; results are based on qualitative analysis done through tools and techniques of EL applied in KKU as an example but the same modus operandi can be implemented by any institution in its EL platform. KKU is using Learning Management Services (LMS) for providing online learning practices and Blackboard (BB) for sharing online learning resources, therefore these tools are considered by the researchers for explaining the results of ML and AI.