• Cross-Cultural Studies
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• v.25
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• pp.453-482
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• 2011

Until now and in the studying of fantastic literature, there has been likely to regard the character as secondary element, compared to their actions. However, it has to be recognized that the characters is a barometer to divide the boundary among the marvellous literature, or fantasy, magic realism, etc., in particular it is an important narrative element to understand an epistemological vision of fantastic literature. This thesis analyzes the characters, focusing on two dimensions divided such as between protagonist/antagonist and protagonist narrator/editor narrator. The characters in fantastic literature are usually set-up as people like ourselves, because it is necessary for the readers to consider the supernatural phenomenon as real world situation. The reason why many characters in fantastic literature usually meet a tragic end is that the structure of fantastic literature embedded unresolved supernatural confusion into ordinary order in the end, while antagonists are viewed as holders of extraordinariness and they are far from vero-similarity. Together with usual characters who represent the world of logic and reason, antagonists who seek to understand more about the universe totally and thus regarded as symbols of intuition and imagination and ultimately are the elements of fantastic literature. On the other hand, the "first person narrator" is divided between "protagonist narrator" who narrates the supernatural things through his/her own experience to readers and "editor narrator" who narrates the other's experiences. Particularly in the case of "editor narrator", he/she may narrates the stories with different explication and angle, which lead to hesitation and confusion for readers to identify between reality and unreality or natural logic and supernatural one. Even though there are various categories in fantastic literature, this thesis exclude 'neo fantastic', 'metaphysical fantastic' ones, characterized as a possibility of convergence with the secondary interpretation and symbolic implication. Beyond these materials, the literatures which involved with this thesis and analysis are normally related with traditional fantastic literary works which supernatural events intervene in real world and bring out collision between real and unreal, or natural and supernatural logics. Based on this criteria, this thesis chooses literary works such as "De los Reyes Futuros", "El Perjurio de la Nieve" written by Adolfo Bioy Casares who is a representative author in Latin American fantastic literature.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.5
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• pp.186-201
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• 2021

As autonomous driving technology advances, the accuracy of the vehicle position is important for recognizing the environments around driving. Map-matching localization techniques based on high definition (HD) maps have been studied to improve localization accuracy. Because conventional map-matching techniques estimate the vehicle position based on an HD map reference dataset representing the center of the lane, the estimated position does not reflect the deviation of the lateral distance within the lane. Therefore, this paper proposes a localization system based on the reference lateral position dataset extracted using image processing and HD maps. Image processing extracts the driving lane number using inverse perspective mapping, multi-lane detection, and yellow central lane detection. The lane departure method estimates the lateral distance within the lane. To collect the lateral position reference dataset, this approach involves two processes: (i) the link and lane node is extracted based on the lane number obtained from image processing and position from GNSS/INS, and (ii) the lateral position is matched with the extracted link and lane node. Finally, the vehicle position is estimated by matching the GNSS/INS local trajectory and the reference lateral position dataset. The performance of the proposed method was evaluated by experiments carried out on a highway environment. It was confirmed that the proposed method improves accuracy by about 1.0m compared to GNSS / INS, and improves accuracy by about 0.04m~0.21m (7~30%) for each section when compared with the existing lane-level map matching method.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.3
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• pp.141-148
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• 2021

This paper presents a method to detect zebra-crossing using deep learning which combines SegNet and ResNet. For the blind, a safe crossing system is important to know exactly where the zebra-crossings are. Zebra-crossing detection by deep learning can be a good solution to this problem and robotic vision-based assistive technologies sprung up over the past few years, which focused on specific scene objects using monocular detectors. These traditional methods have achieved significant results with relatively long processing times, and enhanced the zebra-crossing perception to a large extent. However, running all detectors jointly incurs a long latency and becomes computationally prohibitive on wearable embedded systems. In this paper, we propose a model for fast and stable segmentation of zebra-crossing from captured images. The model is improved based on a combination of SegNet and ResNet and consists of three steps. First, the input image is subsampled to extract image features and the convolutional neural network of ResNet is modified to make it the new encoder. Second, through the SegNet original up-sampling network, the abstract features are restored to the original image size. Finally, the method classifies all pixels and calculates the accuracy of each pixel. The experimental results prove the efficiency of the modified semantic segmentation algorithm with a relatively high computing speed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.10
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• pp.1331-1340
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• 2020

Object detection in maritime means that the captain detects floating objects that has a risk of colliding with the ship using the computer automatically and as accurately as human eyes. In conventional ships, the presence and distance of objects are determined through radar waves. However, it cannot identify the shape and type. In contrast, with the development of AI, cameras help accurately identify obstacles on the sea route with excellent performance in detecting or recognizing objects. The computer must calculate high-volume pixels to analyze digital images. However, the CPU is specialized for sequential processing; the processing speed is very slow, and smooth service support or security is not guaranteed. Accordingly, this study developed maritime object detection software and implemented it with FPGA to accelerate the processing of large-scale computations. Additionally, the system implementation was improved through embedded boards and FPGA interface, achieving 30 times faster performance than the existing algorithm and a three-times faster entire system.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.4
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• pp.5-25
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• 2022

The purpose of this study is to analyze the duties and competencies of the teacher librarian required by schools as consumers to operate the curriculum, and to suggest ways to improve their professionality. To this end, the duties and competencies included in 20 job advertisements posted by IB schools to select teacher librarians were analyzed based on the IFLA School Library Guidelines. As a result of the analysis, it was found that the duties and competencies of IB schools are based on the IB curriculum guidelines and this guideline is based on the educational philosophy and learner image that IBO curriculum aims. And the job that schools want the most from the teacher librarian is teaching through library collection management and collaboration, and the main competencies for this are communication and collaboration skills, teaching-learning·curriculum·education design and operation, and digital & media literacy. The results of this analysis show that the professionalism should be based on the vision for the educated person and learner capabilities presented in the curriculum. Based on this results, in this study the ways for developing teacher librarians' professionalism were presented in the following aspects. First, including the educational responsibilities of the school library in the Arrangement and Implementation Guideline of National Level Curriculum. Second, Classifying human resources' duties through revision of the Enforcement Decree of the School Library Promotion Act. Third, reorganizing of basic courses to acquire teacher librarian qualifications and introducing a demonstration of collaborative teaching in the eduactional practice and the certification examination.

• Journal of Korea Technology Innovation Society
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• v.20 no.1
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• pp.1-33
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• 2017

In the last decades, technology-oriented small firms, i.e. venture businesses, have been increasingly engaged in R&D collaborations with external parties as strategic means for technological innovation. Despite ample evidence on the benefit of such collaborations for the firms, there has been less attention to examining whether and how the firms' social interactions with cooperating partners and their managerial characteristics contribute to that benefit. Drawing on the theories of social capital and entrepreneurial orientation, this study is to remedy this gap. The theory of social capital, referring to a sum of the value and potential resources embedded in social relationships of collectives, provides an integrated view of social factors among cooperating partners, e.g. strong ties, network stability, trust, reciprocity, shared vision and value. It categorizes these factors into structural, relational, and cognitive dimensions of social capital. Entrepreneurial orientation theory captures firms' managerial characteristics as a combination of innovativeness, proactiveness, and risk-taking. This addresses firms' managerial process to utilize and combine internal and external resources for wealth creation and opportunity realization. Against this background, this study investigates what roles social capital among cooperating R&D partners and entrepreneurial orientation of the collaborating firms play for collective performance improvement in R&D collaborations. In terms of the collective performance, this study adopts two indicators: technological competitiveness and business performance. Technological competitiveness refers to the contribution of a technology developed by a cooperative R&D project to competitive advantage of a firm while business performance is defined as the financial and economic outcome of a collaboration. Using a sample of 218 Korean ventures engaging in R&D collaboration with external parties, the author finds the significant effects of social capital (i.e. structural, relational, and cognitive dimensions) and entrepreneurial orientation (i.e. innovativeness, proactiveness, and risk-taking) on both of the technological competitiveness and the business performance. Further, the higher the social capital among R&D partners, the more likely it is to foster the entrepreneurial orientation at firm-level. Most importantly, the entrepreneurial orientation at firm-level is an significant mediator of the relationship between social capital and collective performance. Beyond these novel empirical findings, this study contributes to the literature on R&D collaboration. The findings' implications for management and policy are deeply discussed in the conclusion.