Recently, the application of distributed acoustic sensors (DAS), which can replace geophones and seismometers, has significantly increased along with interest in micro-seismic monitoring technique, which is one of the CO2 storage monitoring techniques. A significant amount of temporally and spatially continuous data is recorded in a DAS monitoring system, thereby necessitating fast and accurate data processing techniques. Because event detection and seismic phase picking are the most basic data processing techniques, they should be performed on all data. In this study, a machine learning-based P, S wave phase picking algorithm was developed to compensate for the limitations of conventional phase picking algorithms, and it was modified using a transfer learning technique for the application of DAS data consisting of a single component with a low signal-to-noise ratio. Our model was constructed by modifying the convolution-based EQTransformer, which performs well in phase picking, to the ResUNet structure. Not only the global earthquake dataset, STEAD but also the augmented dataset was used as training datasets to enhance the prediction performance on the unseen characteristics of the target dataset. The performance of the developed algorithm was verified using K-net and KiK-net data with characteristics different from the training data. Additionally, after modifying the trained model to suit DAS data using the transfer learning technique, the performance was verified by applying it to the DAS field data measured in the Pohang Janggi basin.
What this study aims is to analyze that how the stories of Prince Hodong are represented in modern historical fictions. The stories have been reproduced in many forms such as TV dramas, films, fictions, plays. It can be depicted that the narratives are indeed national and popular. Interestingly, however, the description of Hodong has not been found in pre-modern documents or fictions. The story began to appear and became popular in 1935 by Yoon Baek Nam. It can be explained that the narratives are the one of the example of the invented tradition since it became visible in modern period. Yoon, Lee Tae Joon, and Yu Chi Jin have constructed the character of Hodong what we are familiar with. Yoon depicted Hodong as a romatic lover with the motif of a lovers suicide. Lee and Yu put a context of nationalism by explaining Nakrang as a Nakrangkun of Hansagun(the four colonies of China). These are pure invention of the writers which cannot be found in The History of Three Kingdoms(三國史記). These characters are closely related with the surrounding of their own society. Yoon shows how the past can be seen as a nostalgic object by modern aesthetic perspective. Lee illustrates the ambiguous thought of a colonial intellectual who (anti)internalizes the ideology of militarism. Yu tries to find the way to recover the muscularity of the nation by re-colouring the memory of the past. These, the representations created in various contexts, make our common knowledges of Prince Hodong nowadays.
Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
/
v.7
no.6
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pp.63-72
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2017
This study made of centrally actual application in general arts classes based on movie in university. Especially, I analyzed the activities of the class with 'Untouchable: 1% friendship' among 6 films. The objects of this study are 44 students of D university in Busan Metropolitan City who take 'creative fusion from movie' general arts class which opened first semester in 2016. In this study, students were able to watch movies through the creative class, which was out of the traditional classroom method, and after 15 hours of learning the quiz online, they conducted 15 weeks as a teaching method to perform tasks, presentations, experiments, and experiences in regular class time. The results of this study are as follows. 'It is a general arts class that makes movements live,' 'It is a general arts class that shows movies from various perspectives,' and 'It is a general arts class that makes me know.' This suggests that the educational medium, which is easily accessible in everyday life, and the general arts class, which is active in the space outside the framework, are perceived as stimulating curiosity and adding fun to college students.
KSCE Journal of Civil and Environmental Engineering Research
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v.28
no.5D
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pp.741-747
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2008
Nowadays, the accuracy of the geoid model has been improved through development of the combination model which was composed of traditional gravimetric geoid and geometric geoid by the GPS/leveling data in USA and Japan. It is a state of the art method in geoid modeling field that what so called hybrid geoid. In this paper, as a basic study to develop Korean hybrid geoid model, we studied gravimetric geoid solutions using three gravity reduction methods (Helmert's condensation method, RTM method and Airy-isostatic method) and evaluated the usefulness of each method in context of precise geoid. The gravimetric geoid model were determined by restoring the gravity anomalies (included TC) and the indirect effects were made from various reduction methods on the EIGEN-CG03C reference field. The results are compared with respect to the geometric geoid undulation determined from 498 GPS/leveling after LSC fitting. The results showed that hybrid geoid with RTM (Residual terrain model) reduction method was most accurate method and the value of the difference compared to geometric geoid was $0.001{\pm}0.053m$.
These days sex has become a tool of interest, a constant stream of sex crimes occurs and it brings the age of population cliffs to an age of low birth rates. As an alternative to overcome these problems, we should establish the praying for a child, which has been our ancestors' way of life, as a sacred culture that holds the mystery of life-birth with a new awareness. Therefore, the purpose of this study is not to re-enact the Zhaungam area as a fun and interesting place, but as a sacred place to pray for the nobility, longevity and wealth of life. Based on the spirit of natural love, meeting, healing, and love based on the spirit of traditional culture, Doridori was chosen as the main theme of the project based on the spirit of natural love and life-respect, and the name "Doridori Secret Garden" was given out of 10 medals in Dandong for tourism storytelling. Cultural content becomes a marketing tool for the region and acts as a force for tourists to visit the area. In this context, it was confirmed that the creation of "Doridori Secret Garden" could lead to a high value-added industry that attracts tourists by enhancing the brand value of Andong and showing sufficient significance to become a new attraction. This study is intended to re-create the Zhaungam area as a sacred place to pray for the nobility of life and longevity and wealth of life, noting that people still pray for the birth of their children in Zhaungam and Zhagungam.
Journal of the Computational Structural Engineering Institute of Korea
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v.37
no.2
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pp.77-84
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2024
In the fourth industrial-revolution era, the construction industry is transitioning from traditional methods to digital processes. This shift has been challenging owing to the industry's employment of diverse processes and extensive human resources, leading to a gradual adoption of digital technologies through trial and error. One critical area of focus is the safety management at construction sites, which is undergoing significant research and efforts towards digitization and automation. Despite these initiatives, recent statistics indicate a persistent occurrence of accidents and fatalities in construction sites. To address this issue, this study utilizes large-scale language-model artificial intelligence to analyze big data from a construction safety-management information network. The findings are integrated into on-site models, which incorporate real-time updates from detailed design models and are enriched with location information and spatial characteristics, for enhanced safety management. This research aims to develop a big-data-driven safety-management platform to bolster facility and worker safety by digitizing construction-site safety data. This platform can help prevent construction accidents and provide effective education for safety practices.
Community beliefs of the coastal villages in Gochang are cultural activities and rituals manifesting the hopes and spiritual worlds of the locals who live off the sea and tidal mud. Along with their societal functions wishing for peace, maritime safety, and good catches, the values of the Jwajeongdam (How god came to be), Yuraedam (History of worshipping), and Yeongheomdam (Stories of miracles), as living heritage need to be reexamined according to the recent Convention for the Safeguarding of the Intangible Cultural Heritage. The community beliefs of the coastal villages in Gochang, where outstanding universal intangible and tangible values coexist, have been perpetually transmitted in interactions with tidal mud and the ecological environments of the sea. They reinforce the "Outstanding Universal Value" UNESCO mentions and sustainability that connects the past, present, and future. Furthermore, a coastal area is endowed with international accessibility over regionality. Hence the community beliefs are charged with eco-cultural values, which its preservation and promotion should also focus on to provide policies and protection activities. In short, the tidal mud and community beliefs of coastal villages in Gochang, which according to the concept of UNESCO's "mixed heritage," meet the values for natural, cultural, and intangible heritage at the same time, and so must be approached not in the scope of points or lines, but also in surfaces when arranging protection initiatives.
In this study, a number of distance-dependent competition indices on tree-level which incorporate the tree sizes and distances to competitors, and traditional stand-level density measures were estimated from the data compiled with position-dependent survey in a Pinus densiflora stand. The performance of the estimated competition indices was examined by comparing the relationship with the diameter growth, and a dbh growth function, in which the competition index is considered as a one of influence factors, are developed. In the searching method of competing trees, the competition index estimated with $30^{\circ}$ competition interrupting angle showed the highest correlation with the annual dbh growth, while the expanding the competing zone distance had no significant effect on the performance of competition index in estimating annual dbh growth. The most of the examined stand-level competition indices, based on distance-dependent single-tree competition indices, were evaluated to describe similarly the stand competition status. As a result of partial correlation analysis in which the effect of age and site index are eliminated, Alemdag's mean competition index and relative spacing index were determined to have the highest correlation with dbh. The relative spacing index, which can be easily measured in field without measuring the position of individual trees, was considered to be a better suited one for estimating mean dbh of a stand. Among distance-dependent competition indices on tree-level, Hegyi's competition index showed the best performance in their correlation with annual dbh growth, if eliminated the effect of site index and dbh. This enabled to derive the following annual dbh growth function of individual trees which incorporate age, dominant height, dbh and Hegyi's competition index as influence factors : $$dbh^{\prime}=3.975362676{\cdot}age^{-1.099274613}{\cdot}ho^{0.199893990}{\cdot}dbh^{0.269430865}{\cdot}HgCI^{-0.353643587}$$ This function is coincided to the growth principle in which site index has a positive effect on the annual dbh growth, while high age or competition causes to reduce the annual dbh growth, and can be used as a function in single tree growth model.
Journal of Korean Tunnelling and Underground Space Association
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v.19
no.1
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pp.95-107
/
2017
In this study, a preliminary study was undertaken for development of a tunnel incident automatic detection system based on a machine learning algorithm which is to detect a number of incidents taking place in tunnel in real time and also to be able to identify the type of incident. Two road sites where CCTVs are operating have been selected and a part of CCTV images are treated to produce sets of training data. The data sets are composed of position and time information of moving objects on CCTV screen which are extracted by initially detecting and tracking of incoming objects into CCTV screen by using a conventional image processing technique available in this study. And the data sets are matched with 6 categories of events such as lane change, stoping, etc which are also involved in the training data sets. The training data are learnt by a resilience neural network where two hidden layers are applied and 9 architectural models are set up for parametric studies, from which the architectural model, 300(first hidden layer)-150(second hidden layer) is found to be optimum in highest accuracy with respect to training data as well as testing data not used for training. From this study, it was shown that the highly variable and complex traffic and incident features could be well identified without any definition of feature regulation by using a concept of machine learning. In addition, detection capability and accuracy of the machine learning based system will be automatically enhanced as much as big data of CCTV images in tunnel becomes rich.
People could possess different self-identity under virtual world from physical world because of anonymity of the virtual world and this difference could influence their behavior in the virtual world. Based on self-discrepancy theory, this research proposes that continuous use model in self-expression goal. We defined the difference bet ween actual self~identity and ideal self~identity in the virtual world as "self-discrepancy in virtual world", and the difference between actual self-identity in the physical world and actual self-identity in the virtual world as "cross-world self-discrepancy". Before testing hypothesis, we compare the actual self-identity in the online community with the actual self-identity in the physical world, and with ideal self-identity in the virtual world. We derived an index for two different types of self-identity in terms of Personal Self-identity and Social Self-identity through factor analysis. Our results show that online community members have a higher level of ideal self-identity than actual self-identity in online community, and they have better personal self-identity in online community than physical world while a lower level of social self-identity in online community than physical world. The results of the hypothesis testing analysis based on 300 respondents showed that "self-discrepancy in virtual world" negatively influenced perceived usefulness for self-expression while "cross-world self-discrepancy" positively influenced perceived usefulness for self-expression. The perceived usefulness for self-expression and ease of use positively influence both continuous use and knowledge contribution. Specially, the effect of perceived usefulness for self-expression on knowledge contribution is much bigger than the effect of ease of use. This study extends self-discrepancy theory to virtual worlds by suggesting various types of self-discrepancy and by applying the effect of self-discrepancies in online community. Also, this study extends technology acceptance model in the personal goal in terms of self-expression. This study hopes to offer practical insights by suggesting positive effect of self-discrepancy on behavior in the online community.
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