• Journal of Platform Technology
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• v.9 no.3
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• pp.52-62
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• 2021

Quality control is critical at manufacturing sites and is key to predicting the risk of quality defect before manufacturing. However, the reliability of manual quality control methods is affected by human and physical limitations because manufacturing processes vary across industries. These limitations become particularly obvious in domain areas with numerous manufacturing processes, such as the manufacture of major nuclear equipment. This study proposed a novel method for predicting the risk of quality defects by using natural language processing and machine learning. In this study, production data collected over 6 years at a factory that manufactures main equipment that is installed in nuclear power plants were used. In the preprocessing stage of text data, a mapping method was applied to the word dictionary so that domain knowledge could be appropriately reflected, and a hybrid algorithm, which combined n-gram, Term Frequency-Inverse Document Frequency, and Singular Value Decomposition, was constructed for sentence vectorization. Next, in the experiment to classify the risky processes resulting in poor quality, k-fold cross-validation was applied to categorize cases from Unigram to cumulative Trigram. Furthermore, for achieving objective experimental results, Naive Bayes and Support Vector Machine were used as classification algorithms and the maximum accuracy and F1-score of 0.7685 and 0.8641, respectively, were achieved. Thus, the proposed method is effective. The performance of the proposed method were compared and with votes of field engineers, and the results revealed that the proposed method outperformed field engineers. Thus, the method can be implemented for quality control at manufacturing sites.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.127-139
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• 2021

This study investigates business demands for firms operating in the Busan Sasang Industrial Area for the proposed knowledge-industry innovation base. Diverse improvement arrangements are proposed for revitalization of the industrial area. For these purposes, a questionnaire survey was conducted for the examination of physical conditions and enterprise demands among firms. The major findings are as follows. Firstly, judging from the examination of physical conditions, the study area has presented a lower rate of roads and smaller individual lots of land, which would contribute to a worsening business environment for small business owners. Secondly, business request for industrial-area innovation, pilot project needs, and expected impacts demonstrated higher scores. Thirdly, an absolute majority of firms strongly supported the proposed knowledge-industry innovation base and requested an R&D center as the first anchor facility. Based on these findings, guidelines are proposed for an institutional rearrangement plan. First of all, specific field surveys dealing with networking issues and industrial dominance should be immediately carried out. In addition, the proposed knowledge-industry innovation base should be equipped with significant power of influence for the adjacent industrial areas. Lastly, major stakeholders should upgrade the cooperative mechanism for innovative change in the regional industrial complex.

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.4
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• pp.341-353
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• 2022

Pipelines are buried in urban area, and the position (depth and orientation) of buried pipeline should be clearly identified before ground excavation. Although various geophysical methods can be used to detect the buried pipeline, it is not easy to identify the exact information of pipeline due to heterogeneous ground condition. Among various non-destructive geo-exploration methods, ground penetration radar (GPR) can explore the ground subsurface rapidly with relatively low cost compared to other exploration methods. However, the exploration data obtained from GPR requires considerable experiences because interpretation is not intuitive. Recently, researches on automated detection technology for GPR data using deep learning have been conducted. However, the lack of GPR data which is essential for training makes it difficult to build up the reliable detection model. To overcome this problem, we conducted a preliminary study to improve the performance of the detection model using finite difference time domain (FDTD)-based numerical analysis. Firstly, numerical analysis was performed with homogeneous soil media having single permittivity. In case of heterogeneous ground, numerical analysis was performed considering the ground heterogeneity using fractal technique. Secondly, deep learning was carried out using convolutional neural network. Detection Model-A is trained with data set obtained from homogeneous ground. And, detection Model-B is trained with data set obtained from homogeneous ground and heterogeneous ground. As a result, it is found that the detection Model-B which is trained including heterogeneous ground shows better performance than detection Model-A. It indicates the ground heterogeneity should be considered to increase the performance of automated detection model for GPR exploration.

• Journal of Popular Narrative
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• v.26 no.3
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• pp.87-120
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• 2020

The study noted the characteristics of the web novel's 'Book Travel' motif, which reflects the characteristics of popular culture content, which is free to use familiar genre grammar or code. The imagination of the main character entering the work he read in the real world is a reinterpretation of the existing genre grammar of the web novel, and studying the motif is meaningful in reviewing the intertext of the genre. This motif, summarized as 'Book Travel' differs from other genres in the romance fantasy genre, which can also be used to reveal the gender characteristics of the genre. The study noted that the 'Book Travel' motif was born from an interactive interpretation of existing narratives, thus having a affinity with dimensional shift, regression, and alternative historical objects, and referring to the writing norms of Fanfiction. Through this, it was predicted that the re-combination of existing narratives and interference between genres would continue in the future. Next, the original move in the romance fantasy genre was seen as quite conservative and revealing the logic of self-improvement even though people around him became the main characters and overthrew the narrative. The characters should use their knowledge of the future of the real world to fight in a world of survival where destruction has been predicted. The appearance of an ethical and self-help subject is interesting, but on the other hand, I could look at conservatism in that romance is a way of survival and achievement of characters. The research is meaningful in that it reviewed the characteristics of the original transfer motif, which started fairly quickly in the romance fantasy genre, and reviewed its appearance background and characteristics. There was a limit to the collection of physical works and limited platform. The above limits are intended to be supplemented by further reviewing and supplementing later works.

• Journal of the Korean Electrochemical Society
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• v.25 no.1
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• pp.42-49
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• 2022

In this study, the surface protection film based on organic-inorganic composite is manufactured for suppressing lithium dendrite growth, and the film is applied on the surface of Li metal negative electrode for lithium metal batteries (LMBs). The film is consist of the polyvinylidene fluoride (PVDF) polymeric binder which has good mechanical strength and high electrochemical stability, and carbon black (Super-P) which has outstanding electrical conductivity as the inorganic compound. First, in order to confirm the suppression of the internal short circuit by the lithium dendrite, the time required for the short circuit is measured while a constant current is continuously applied. As a result, the internal short circuit is delayed in proportion to the carbon black content of the film, and it is significantly delayed than bare Li metal electrode which does not use protection film. The cycle performance of the thick protection film (8 ㎛), is worse than that of the thin film (4 ㎛). However, as the carbon black content of the film increased, the cycle performance is improved. Thus, the surface protection film based on carbon black/PVDF composite can delay the internal short circuit, and has low overvoltage during the cycle. However, more stable cycle performance needs to be built through further improvements.

• Ecology and Resilient Infrastructure
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• v.9 no.4
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• pp.237-246
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• 2022

Owing to their high bioproductivity and unique physical environment, estuarine wetlands are gaining importance in national biodiversity management and habitat conservation. With regard to conservation and management of estuarine wetlands, this study analyzed the ecological characteristics of Gahwacheon Estuarine Wetland, an open estuary with various habitat types. Data from vegetation and biotic surveys have shown that 12 plant communities of five physiognomic vegetation types, including lentic herbaceous vegetation, halophytic herbaceous vegetation, and chasmophytic herbaceous vegetation. Due to the discharge of Namgang Dam and the effect of the tide, vegetation are distributed along the narrow waterside area. In terms of biodiversity, a total of 715 species, including 12 endangered wildlife species, were identified. Species diversity was relatively high in sections I and III where various riverbed structures and microhabitats were distributed. Due to the effect of the brackish water area following the inflow of seawater, endangered wildlife of various functional groups were also found to be distributed, indicating the high conservation value of that area. The collection of ecological information of the Gahwacheon Estuarine Wetland can be used as a framework for establishing the basis for conservation and management of the estuarine ecosystem and support policy establishment.

• Journal of agricultural medicine and community health
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• v.47 no.4
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• pp.242-254
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• 2022

Purpose: This study was designed to test structural equation modeling of the quality of life of elderly diagnosed dementia living in the community in order to provide guidelines for development of intervention and strategies to improve their quality of life. Methods: The participants in the study were elderly who visited the public health center in C rural between May 30 and september 15, 2017. Data collection was carried out through one-on-one interviews. Demographic factors, knowledge, Attitude, Self-Efficacy, social support, accessibility, request for Information, health practice, depression, subjective memory complaints, dependence scale and quality of life were investigated. Results: The final analysis included 192 elderly. Fitness of the hypothesis model was appropriate(χ²=192.89, p=.000, GFI=0.90, SRMR=0.08, NNFI=0.94, CFI=0.95, PNFI=0.72, RMSEA=0.07). Depression, subjective memory complaints and dependence were found to be significant explaining varience in quality of life. Social support, dementia preventive behavior and health practice had an indirect effect on the quality of life. Conclusions: To improve the quality of life of elderly diagnosed dementia living in the community, comprehensive interventions are necessary to manage knowledge, attitude, self-efficacy, social support, health practice, depression, subjective memory complaints and dependence that can contribute to enchance the quality of life of elderly diagnosed dementia living in the community.

• Journal of Science Education
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• v.46 no.1
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• pp.80-92
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• 2022

We fitted latent growth models of attitude towards science using the Korea Education & Employment Panel 2004-2007 data with 343 high school students. The growth model show better fit indices compared to the no growth model. The intercept and slope showed significant variances, and thus, we added control variables of the number, ratio of advanced courses, and variety in science elective subjects, and the achievement percentile for middle school. In the conditional growth model, the previous achievement has significant positive effects on the intercept and the ratio of the advanced courses and variety of science subjects show significantly positive effects on the slope. Based on the results, it supports the 2022 Revised Science Curricular that high school credit system should provide students with basic 'Physics,' 'Chemistry,' 'Biology,' and 'Earth Science,' credits in 'general electives', various integrated subjects in 'converged electives', and highly advanced subjects in 'career electives.'

• Journal of Korean Elementary Science Education
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• v.41 no.2
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• pp.373-394
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• 2022

This study aimed to find out the formation of ecologically educational place identity of nature trails in national parks, which elementary school students to adults can understand, by analyzing the connectivity between characteristics (signs) of nature trails and elementary science environment-related key concepts and the domain of ecological education in the course of environment and by developing a semiotic interpretation model of place identity based on Barthes's semiotic theory. When analyzing correlations between the interpretation board-focused surrounding environment of nature trails and the content system of ecological education, this study found out that it showed the highest connectivity with the domain of 'System of Ecological Environment'. When analyzing the formation of place identity of nature trails in terms of semiotics, this study discovered that geographical locations or landscapes, artificial environments and physical elements as characteristics of surrounding environments mostly acted on the formation of placeness. Besides, it was found that both knowledge and attachment elements equally could act on the formation of a sense of place. Being likely to develop through interaction between placeness and a sense of place, place identity was mostly composed of behavioral internal stages and sympathetic internal stages. To diversify the formation of place identity, however, this study found it necessary to develop environment education projects and create surrounding environments and interpretation boards with the environmental uniqueness of nature trails reflected much more.

• Journal of Korean Philosophical Society
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• no.93
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• pp.231-260
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• 2011

Simondon's theory of individuation and methodology of transduction presents a possibility of contemporary natural philosophy and a new perspective about the relation between philosophy and sciences. According to Simondon's anti-substantial viewpoint, being, as a metastable system charged with potential energy, complicates itself with quantum leaps transversing successive equilibriums. Individuation is the becoming of phases of being which transits from preindividual state to individuated states. Physical individuation as a paradigmatic model of individuation in general demonstrates not only insufficiency of form-oriented hylomorphism, but also spontaneous formational capacity of matter and reality of energetic relational operation immanent in matter. Genesis of a individual (structure or form) occurs as a resolution of the disparation between orders of magnitude, that is, the difference of potentials immanent in nature through the internal resonance, communication by information, transductive relation between the opposites. I'm trying to show that Simondon revives 'physis' of ancient natural philosophy by his own transductive applications of contemporary physics' conceptions, and therefore suggest a new non-reductive materialism. Especially Simondon's 'transduction' which is neither induction, deduction, nor dialectic, but an original ontological process and a peculiar method of thinking, I think, is worthy of note in order to construct network of knowledge and inter-relation between various sciences.