Journal of The Geomorphological Association of Korea
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v.27
no.3
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pp.13-24
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2020
This study analyzed the characteristics of the grain size distribution of the sediments obtained from the flooding in Ibang-myeon, Changnyeong-gun, which was caused by the collapse of a embarkment on the Nakdong River on August 9, 2020. As a results, it was found that the mean grain size decreases and the sorting becomes poorer as the distance from the embarkment collapse point increases. This is attributed to the fact that the transport energy of the river decreases when flooding occurs, ensuring that coarse-grained sediments are deposited first. Further, as the transport energy further reduces and becomes dispersed, the sorting for the fine-grained sediments becomes poor. Considering the characteristics of spatial distribution, sediments along the farm road showed the properties of floodplain deposits that transport to natural levee and back swamp due to river flooding. On the other hand, sediments along the irrigation ditch exhibited the properties of the deposits that are carried by the flow backward of ditch from the river after the collapse of the embarkment. The results of this study are significant because characteristics of flood sediments were elucidated for major rivers where flooding rarely occurs due to the recently built artificial structures. In addition, by applying the grain size distribution characteristics of present river flood sediments, it will be able to contribute to clarifying the sedimentary environments of the paleo river flood deposits.
The society of intelligence-information complex is a fresh world that connects things, knowledge and calculation with human. What is the condition of educational reform in this world? Robinson and Aronica(2015) suggest educational reform at the center of organic agriculture, in which they focus on the dignity of human as an organic being. Human consists in an intelligence and a life. We have to ask to ourselves what is the human in this Age. The development of AI represented by deep-learning will be an actual condition in the educational reform. In the other hand, the combination with an information technology and art rises a question about a life itself. So, we have to ask the question seriously that overlap what is the human and what is a life. Two questions about human and a life cast a philosophical paradox in the age of AI.
This study explores the usability of extended reality (XR) content tailored for production process training, with a focus on user experience. Participants engaged with extended reality training modules, and qualitative data was subsequently collected through interviews. These interviews evaluated the hardware, user interface, and overall user satisfaction. The analysis utilized python packages for keyword extraction and word cloud visualization, offering insights into user perceptions. The findings revealed that although the hardware was deemed comfortable, concerns were raised regarding its weight and heat emission. The interactive interface, which relies on hand tracking, encountered issues with recognition rates, leading to suggestions for alternative input methods. Users acknowledged extended reality's potential impact on industries like healthcare and education, sharing both positive and negative views on the technology. This research enhances our understanding of user responses and guides the future enhancement of extended reality content for industrial applications, aiming to improve its quality and practical usability
Journal of the Institute of Convergence Signal Processing
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v.24
no.4
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pp.199-204
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2023
Production technologies in the imaging sector are innovating continuously and due to the visual experiences of powerful screen effects using 3D technologies, the public is now pursuing higher quality and more realistic visual effects. 3D production software with greater performance to realize this are now flooding the market, but artificial manual work and traditional hand-painting HDRI production methods still exist. There are few studies on new methods using HDRI production software using the computer's high performance data operations. In order to improve HDRI pipelines, this study links the two technological points of 'Nuke' and 'Photoshop' and it reduced production time and the improvements of quality were verified by using pipelines with new convergence methods.
Background: The aim of this study is to evaluate the long term results of creating various right ventricle to pulmonary artery conduits for treating complex congenital heart disease. Material and Method: Between June 1986 and July 2006, we retrospectively reviewed 245 patients who underwent reconstruction of the right ventricular outflow tract with various kinds of conduits. 410 operations were done in 245 patients, the mean age at operation was $3.2{\pm}4.9$ years (range: 7 days$\sim$45 years) and the mean body weight was $12.5{\pm}8.7\;kg$ (range: $2.4\sim76.3\;kg$). Result: We used the following conduits: Polystan conduit, Shelhigh conduit, Carpenter-Edward conduit, Dacron graft with an artificial valve, valveless Gore Tex vascular graft, homograft and hand-made bovine or autologous pericardial conduit. The mean follow up duration was $6.3{\pm}5.2$ years. Redo operation for RV-PA conduit dysfunction was performed in 131 patients, a second redo was done in 31 and a third redo was done in 3. The reoperation free rates were 67.3%, 48.5% and 39.4% for 5 years, 10 years and 15 years, respectively. The homograft showed the best durability, followed by the Dacron graft with artificial valve and the Carpentier-Edward conduit. The larger sized conduit showed better durability. Conclusion: The homograft showed lowest reoperation rate and a smaller size of conduit showed the highest reoperation rate. The reoperation rate for the RV-PA conduit was about 35% at 5 years, so it is mandatory to develop the more durable conduit for RV outflow.
An, Ji-Hong;Park, Hwan-Joon;Lee, Sae-rom;Seo, In-Soon;Nam, Gi-Heum;Kim, Jung-Hyun
Korean Journal of Environment and Ecology
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v.33
no.4
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pp.378-401
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2019
This study generated a list of plants in eight sections from the Baekdansa ticket office (874m) to Cheonjedan (1,560m) divided in the interval of 100m above sea level to examine the species diversity patterns and distribution changes of the vascular plants at different altitudes in Taebaeksan National Park. Four site surveys found a total of 385 taxa: 89 families, 240 genera, 345 species, 5 subspecies, 34 varieties, and 1 form. A result of analyzing the change of species diversity along elevational gradients showed that it decreased with increasing elevation and then increased from a certain section. A result of analyzing habitat affinity types showed that the proportion of forest species increased with increasing elevation. On the other hand, the ruderal species appeared at a high rate in the artificial interference section. A result of comparing the proportion of woody and herb plants showed that the woody plants gradually increased with elevation and rapidly decreased in the artificial interference section. On the other hand, the herb plants showed the opposite trend. A result of analyzing the change of distribution of species according to altitude with the DCA technique showed that the vascular plants were divided into three groups according to the elevation in order on the I axis with the boundaries at 900m and 1,300m above sea level. The arrangement of each stand from right to left along the altitude on the I axis with a significant correlation with warmth index (WI) confirmed that the temperature change along the altitude could affect the distribution of vascular plants, composition, and diversity. Therefore, the continuous monitoring is necessary to confirm ecological and environmental characteristics of vegetation, distribution ranges, changes of habitat. We expect that the results of this study will be used as the basic data for establishing the measurement measures related to the preservation of biodiversity and climate change.
Journal of the Korean Institute of Landscape Architecture
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v.42
no.5
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pp.1-12
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2014
Recently, the reenaction of place's memories that were considered sense of place based on its historical and structural characteristic were assumed important topics for recovering and making the park from industrial sites, such as factory, industrial complex, industrial city, labor residential development, landfill, etc., to the public all over the world. This research aimed to conduct some preliminary data for making the park's sense of place highly. So, after conducting the structural forms of sense of place for Seoul Forest and Seonyudo Park that were designed and built by considering its place memories actively, park planning and design implications that were considered its sense of place were suggested. The research results those were derived from the structural forms of sense of place for Seoul Forest and Seonyudo Park's are the following. First, the Structural Equation Modeling(SEM) on Seoul Forest and Seonyudo Park were determined that the natural-physical, artificial-physical, and experiential environmental factors' satisfaction of Seoul Forest and Seonyudo Park have an effect on forming the Sense of Place. In addition, the sense of place was affected by the willingness to visit. Second, according to its physical environment, the experiential factors, such as plays, exercises and etc., were more important relatively. Therefore, experiential factors should be considered significantly with physical factors to make the sense of place highly. Third, even the places were under similar category, the factors' and valuables' relative importance were changed. As the results of structural equation modeling said, specific valuables' related with each factors would be differentiated due to the places' characteristics. For example, the results were showed that natural-physical factor was more important than artificial-physical factor in Seoul Forest. On the other hand, artificial-physical factor was more important than the natural- physical factor. This research carries some significance for applying a quantitative research method(structural equation modeling) to various place to conduct the sense of place's structural model, for suggesting relative specific methods to make the sense of place, and for being a step forward to substance of sense of place. If further studies conduct focusing on various places to draw the forming models of sense of place that were based this research's analysis methods and results, those researches would contribute to make the urban place meaningful, characteristically and affectionately. Furthermore, those researches would contribute in making a humane and competitiveness city.
his study classified the development process of artificial intelligence (AI) speakers through analysis of the news text of artificial intelligence (AI) speakers shown in traditional news reports, and identified the characteristics of each product by period. The theoretical background used in the analysis are news frames and topic frames. As analysis methods, topic modeling and semantic network analysis using the LDA method were used. The research method was a content analysis method. From 2014 to 2019, 2710 news related to AI speakers were first collected, and secondly, topic frames were analyzed using Nodexl algorithm. The result of this study is that, first, the trend of topic frames by AI speaker provider type was different according to the characteristics of the four operators (communication service provider, online platform, OS provider, and IT device manufacturer). Specifically, online platform operators (Google, Naver, Amazon, Kakao) appeared as a frame that uses AI speakers as'search or input devices'. On the other hand, telecommunications operators (SKT, KT) showed prominent frames for IPTV, which is the parent company's flagship business, and 'auxiliary device' of the telecommunication business. Furthermore, the frame of "personalization of products and voice service" was remarkable for OS operators (MS, Apple), and the frame for IT device manufacturers (Samsung) was "Internet of Things (IoT) Integrated Intelligence System". The econd, result id that the trend of the topic frame by AI speaker development period (by year) showed a tendency to develop around AI technology in the first phase (2014-2016), and in the second phase (2017-2018), the social relationship between AI technology and users It was related to interaction, and in the third phase (2019), there was a trend of shifting from AI technology-centered to user-centered. As a result of QAP analysis, it was found that news frames by business operator and development period in AI speaker development are socially constituted by determinants of media discourse. The implication of this study was that the evolution of AI speakers was found by the characteristics of the parent company and the process of co-evolution due to interactions between users by business operator and development period. The implications of this study are that the results of this study are important indicators for predicting the future prospects of AI speakers and presenting directions accordingly.
The selection of activation function has a great influence on the groundwater level prediction performance of artificial neural network (ANN) model. In this study, five activation functions were applied to ANN model for two groundwater level observation wells in the middle mountainous area of the Pyoseon watershed in Jeju Island. The results of the prediction of the groundwater level were compared and analyzed, and the optimal activation function was derived. In addition, the results of LSTM model, which is a widely used recurrent neural network model, were compared and analyzed with the results of the ANN models with each activation function. As a result, ELU and Leaky ReLU functions were derived as the optimal activation functions for the prediction of the groundwater level for observation well with relatively large fluctuations in groundwater level and for observation well with relatively small fluctuations, respectively. On the other hand, sigmoid function had the lowest predictive performance among the five activation functions for training period, and produced inappropriate results in peak and lowest groundwater level prediction. The ANN-ELU and ANN-Leaky ReLU models showed groundwater level prediction performance comparable to that of the LSTM model, and thus had sufficient potential for application. The methods and results of this study can be usefully used in other studies.
Chilling temperature and colony development in Korean native bumblebee, Bombus ignitus and introduced B. terrestris were firstly investigated. Among four chilling temperatures of -2.5, 0, 2.5 and 5$^{\circ}C$, 2.5$^{\circ}C$ showed the best result at the survival rate after artificial hibernation in both species. The survival rate after chilling was somewhat higher in B. ignitus until three months of cold treatment, but it was higher in B. terrestris at four months of cold treatment. In colony development of queens broken diapause by CO$_2$ treatment, oviposition rate and preoviposition period of B. ignitus were 72.5% and 17.4 days, respectively. These values were 6.1% higher and 7.4 days shorter than those of B. terrestris. The period up to colony foundation, the first male and queen emergence of B. ignitus were 62.8,66.4 and 63.0 days, respectively, and these values were 2.1-29.5 days shorter than those of B. terrestris. But, the duration up to first worker emergence of B. ignitus and B. terrexrris did not differ as 28.6 and 28.4 days, respectively. On the other hand, the rate of colony foundation and progeny-queen production of B. terrestris, which are the important indication in evaluating the quality of colony, were 14.2 and 13.5%, respectively and these values are 3.8 to 5.7 fold higher than those of B. ignitus. Besides, the numbers of progenies of B. terrestris reached 104.2 workers, 317.9 males and 21.1 queens, which corresponded to 1.1-1.8 fold those at B. ignitus. Therefore, above results showed that colony development of B. terrestris is superior to that of B. ignitus.
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