• Trans-
• /
• v.13
• /
• pp.141-169
• /
• 2022

Analysis of narrative texts has been regarded as academically and practically important, and has been made from various perspectives and methods. In this paper, the computational narrative analysis methodology from the perspective of information processing was examined. From the point of view of information processing, the creation and acceptance of narrative is a bidirectional coding process mediated by narrative text, and narrative text can be said to be a multi-layered structured code. In this paper, four methodologies that share this point of view - character network analysis, text mining and sentiment analysis, continuity analysis of event composition, and knowledge analysis of narrative agents - were examined together with cases. Through this, the mechanism and possibility of computational methodology in narrative analysis were confirmed. In conclusion, the significance and side effects of computational narrative analysis were examined, and the necessity of designing a human-computer collaboration model based on the consilience of the humanities and science/technology was discussed. Based on this model, it was argued that aesthetically creative, ethically good, politically progressive, and cognitively sophisticated narratives could be made more effectively.

• Journal of the Korean Orthopaedic Association
• /
• v.55 no.3
• /
• pp.193-199
• /
• 2020

A gamma nail has been used to treat intertrochanteric fractures since 1988. Although such cephalomedullary nails have mechanical advantages over extramedullary fixation devices, such as sliding hip screw, their beneficial effects on treating the Arbeitsgemeinschaft für Osteosynthesefragen/Orthopaedic Trauma Association (AO/OTA) 31-A1 and 31-A2 fractures are still controversial. During their 30-year history, many problems have been overcome, and new types of cephalomedullary nails have been introduced in clinical practice. New cephalomedullary nail systems facilitate nailing procedures and enhance the purchase capability of the femoral head by a lag screw. On the other hand, the failure rate still depends on the hands of the orthopedic surgeons. This review article focused on the basic principle of medial support and restoration of a medial buttress during the treatment of trochanteric fractures using a cephalomedullary nail.

• Smart Media Journal
• /
• v.11 no.3
• /
• pp.90-101
• /
• 2022

Buses are a popular means of transportation. As such, thorough preparation is needed for passenger safety management. However, the safety system is insufficient because there are accidents such as a death accident occurred when the bus departed without recognizing the elderly approaching to get on in 2018. There is a safety system that prevents pinching accidents through sensors on the back door stairs, but such a system does not prevent accidents that occur in the process of getting on and off like the above accident. If it is possible to predict the intention of bus passengers to get on and off, it will help to develop a safety system to prevent such accidents. However, studies predicting the intention of passengers to get on and off are insufficient. Therefore, in this paper, we propose a 1×1 CNN3D-based getting on and off intention prediction model using skeleton keypoints of passengers extracted from the camera image attached to the bus through UDP-Pose. The proposed model shows approximately 1~2% higher accuracy than the RNN and LSTM models in predicting passenger's getting on and off intentions.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.25 no.5
• /
• pp.1-7
• /
• 2021

This study attempted to detect possible collapse and fire accidents in facilities for disaster monitoring of large facilities, and to develop a customized beacon to recognize the internal situation of an IoT-based facility when a disaster occurs. In the case of data measurement using the existing strain gauge sensor, the strain gauge sensor was connected by wire to measure it, but this study changed it to wireless so that the presence and absence of structural deformation can be monitored in real time. In this process, in order to use the Wheatstone bridge, a strain sensor module that can be connected to a customized beacon was manufactured, and a system configuration was conducted to remotely check the measurement data. To verify measurement data, 10 customized beacons and 2 gateways were installed on the 15th floor of the Advanced Institue of Convergence Technology, and as a result of analysis of measurement data, it was confirmed that the strain data values were distributed between 7 and 8.

• Composites Research
• /
• v.35 no.5
• /
• pp.334-339
• /
• 2022

This study suggests the prediction algorithm for transverse permeability, represented the flow resistance during the manufacturing process of composite, of unidirectional continuous fiber reinforced plastics. The cross-sectional shape of representative volume element (RVE) is considered to reflect fiber arrangement. The equivalent length is used as a factor to express the change of resin flow according to fiber arrangement. The permeability prediction algorithm is created by grafting the Electro-Hydraulic analogy and validity is confirmed. The code for permeability prediction was composed by means of MATLAB and Python, flow analysis was performed by using FLUENT. The algorithm was verified as the permeability results obtained through Algorithm and numerical analysis were almost identical to each other, and the calculation time was reduced around 1/450 compared to the numerical analysis.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.6
• /
• pp.215-222
• /
• 2022

This study summarizes the basic concepts of NFT art and analyzes trends in the domestic and international NFT market to provide a better understanding of the art form to suggest various ways to utilize the art in near future when social interests in technologies such as metaverse, block chain, and NFTs are continuously increasing. In addition, by examining the rapid development and process of blockchain technology in overseas markets, and confirming cases of information transfer to various metaverses such as cryptocurrency and NFT technology, the aim is to present a foothold for the future direction of national arts in general. To this end, in order to analyze consumers' perceptions and preferences, and to draw conclusions about current NFT arts at home and abroad, a survey was conducted on NFT awareness among participants of an art fair in Gwangjin-gu, Seoul. It is hoped that this study will become a cornerstone of research on NFT works and NFT art industry, which is becoming a global issue.

• Journal of Digital Convergence
• /
• v.20 no.5
• /
• pp.253-260
• /
• 2022

Creativity, one of the core competencies of the 21st century, is required as an essential item for members of society. Emphasizes its ability in terms of personality that allows it to be used in the desired direction. However, creativity is considered to contribute to positive change in the organization, not only in creating new ideas or products, but also in adapting to a changing environment and solving problems. Accordingly, by reviewing previous studies, it was concluded that rewards can promote or hinder creativity, which may vary depending on the nature of rewards, the concept of creativity possessed by the researcher, individual differences, and external environment. We also proposed that rewards may influence creativity through motivational, cognitive, and synthetic functions. Based on the analysis, a specific model was proposed for the effect of reward on creativity. This study is based on existing research and analyzed various factors and mechanisms acting in the process of influencing creativity based on comparison of which extrinsic and intrinsic motivations have what kind of relationship. Next, it appears that rewards differ from person to person according to the way they are given in environmental circumstances. Finally, by rewarding various types of creative tasks, an active reward role can be secured.

• Journal of The Korean Association of Information Education
• /
• v.26 no.4
• /
• pp.273-284
• /
• 2022

The goal of this paper is to propose the use of machine learning platforms in education to train learners to recognize data biases. Learners can cultivate the ability to recognize when learners deal with AI data and systems when they want to prevent damage caused by data bias. Specifically, this paper presents a method of data bias education using MachineLearningforKids, focusing on the case of AI baseball referee. Learners take the steps of selecting a specific topic, reviewing prior research, inputting biased/unbiased data on a machine learning platform, composing test data, comparing the results of machine learning, and present implications. Learners can learn that AI data bias should be minimized and the impact of data collection and selection on society. This learning method has the significance of promoting the ease of problem-based self-directed learning, the possibility of combining with coding education, and the combination of humanities and social topics with artificial intelligence literacy.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.11
• /
• pp.187-197
• /
• 2009

Visitors feel pleasure and delight with seeing and participation at the same time at theme park. Owing to participation characteristics of theme park, visitors are not able to satisfy their desire only with simple seeing, and influenced by the sense caused by participation and seeing. The study herein presumed that global attachment regarded as characteristic features determining individual relationship characteristics influences behavior and perception of visitors after visiting theme park, and speculated the process which attachment type of visitors influences to satisfaction and attitude. Moreover, in a point of view of 3 factors which form consumer attitude, recognition, feeling, behavioral desire, factors which enhances satisfaction and behavioral desire of visitors are organized and speculated. As a result of study herein, influence of stable attachment was not significant, while personal service and positive feeling shows importance.

• Journal of IKEEE
• /
• v.26 no.1
• /
• pp.62-66
• /
• 2022

Recently, there have been many research efforts based on data-based deep learning technologies to deal with the interference problem between heterogeneous wireless communication devices in unlicensed frequency bands. However, existing approaches are commonly based on the use of complex neural network models, which require high computational power, limiting their efficiency in resource-constrained network interfaces and Internet of Things (IoT) devices. In this study, we address the problem of classifying heterogeneous wireless technologies including Wi-Fi and ZigBee in unlicensed spectrum bands. We focus on a data-driven approach that employs a supervised-learning method that uses received signal strength indicator (RSSI) data to train Deep Convolutional Neural Networks (CNNs). We propose a simple measurement methodology for collecting RSSI training data which preserves temporal and spectral properties of the target signal. Real experimental results using an open-source 2.4 GHz wireless development platform Ubertooth show that the proposed sampling method maintains the same accuracy with only a 10% level of sampling data for the same neural network architecture.