• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.57-62
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• 2023

This research is a comparative analysis of the U.S. S&P 500 index using the volatility breakout strategy against the Buy and Hold approach. The volatility breakout strategy is a trading method that exploits price movements after periods of relative market stability or concentration. Specifically, it is observed that large price movements tend to occur more frequently after periods of low volatility. When a stock moves within a narrow price range for a while and then suddenly rises or falls, it is expected to continue moving in that direction. To capitalize on these movements, traders adopt the volatility breakout strategy. The 'k' value is used as a multiplier applied to a measure of recent market volatility. One method of measuring volatility is the Average True Range (ATR), which represents the difference between the highest and lowest prices of recent trading days. The 'k' value plays a crucial role for traders in setting their trade threshold. This study calculated the 'k' value at a general level and compared its returns with the Buy and Hold strategy, finding that algorithmic trading using the volatility breakout strategy achieved slightly higher returns. In the future, we plan to present simulation results for maximizing returns by determining the optimal 'k' value for automated trading of the S&P 500 index using artificial intelligence deep learning techniques.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.329-337
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• 2023

This study investigated the mediating effect of critical thinking disposition on the relationship between ego resilience and self-leadership of nursing students. The subjects of the study were 193 third-year and fourth-year nursing students from three universities in G Province, and data were collected from November 1 to November 19, 2021. The collected data were subjected to descriptive statistics, t-test, ANOVA, Pearson's correlation, and multiple regression using the SPSS/WIN 23.0 program. The mediation effect was analyzed using Baron and Kenny's three-step procedure, and the statistical significance of the mediation effect was verified using the Sobel test. As a result of this study, self-leadership was positively correlated with ego resilience(r=.43, p<.001) and critical thinking disposition(r=.51, p<.001), and ego resilience was positively correlated with critical thinking disposition(r =.58, p<.001). It was found that there was a partial mediating effect of critical thinking disposition in the relationship between ego resilience and self-leadership(Sobel test: Z=5.05, p<.001). Therefore, in order to increase the self-leadership of nursing students, an integrated approach is needed to improve ego resilience and critical thinking disposition.

• Journal of Industrial Convergence
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• v.22 no.2
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• pp.33-43
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• 2024

This study aims to test the relationship between brand embeddedness and cross-selling intention, as well as how customer satisfaction affects as mediator its relationship. The data set includes 258 consumers using a specific smartphone brand and we gather the data by conducting a survey. We use structural equation modeling to verify hypotheses and do nonparametric bootstrap approach for additional analysis of the mediating role of customer satisfaction. The results of analysis are as follows. First, it has been shown that barnd embeddedness positively affects customer satisfaction and cross-buying intention. Second, customer satisfaction is found to have a positive effect on cross-buying. By combining these results and additional analysis, we confirm that the direct effect of brand embeddedness is more effective for cross-buying intention than the indirect effect of customer satisfaction. The results of this empirical analysis show the academic value that brand embeddedness as social capital can be a antecedent for cross-buying intention. In addition, this study suggests the need for brand practitioners to increase the embeddedness of customers related to the brand and consider the mediating role of customer satisfaction together in order to increase cross-buying.

• Information Systems Review
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• v.23 no.3
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• pp.127-158
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• 2021

Many online travel agencies (OTAs) provide average ratings and time-relevant information or the most recently posted reviews regarding hotels to satisfy customers. To identify these two factors' relative influence on behavioral decision-making processes, we conducted two studies: (1) an experimental research design to explore the relative influence of the two on online review consumption and (2) an empirical approach to examine their relative impact on online review generation. The results show that when review posters observe an inconsistency between average ratings and recent reviews, they tend to deviate from the recent reviews regardless of the overall direction (reactance behavior). Meanwhile, review consumers tend to conform to the opinions presented in recent reviews (herding behavior). Additionally, in both cases, the effects are amplified in case of a negative aberration. Based on the findings, this study provides theoretical and practical implications regarding the relative influences of average rating and recently posted reviews and their different impacts on online review consumption and generation.

• IMMUNE NETWORK
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• v.22 no.5
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• pp.42.1-42.20
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• 2022

Vaccination with tumor peptide epitopes associated with MHC class I molecules is an attractive approach directed at inducing tumor-specific CTLs. However, challenges remain in improving the therapeutic efficacy of peptide epitope vaccines, including the low immunogenicity of peptide epitopes and insufficient stimulation of innate immune components in vivo. To overcome this, we aimed to develop and test an innovative strategy that elicits potent CTL responses against tumor epitopes. The essential feature of this strategy is vaccination using tumor epitope-loaded nanoparticles (NPs) in combination with polyinosinic-polycytidylic acid (poly-IC) and anti-PD1 mAb. Carboxylated NPs were prepared using poly(lactic-co-glycolic acid) and poly(ethylene/maleic anhydride), covalently conjugated with anti-H-2K^b mAbs, and then attached to H-2K^b molecules isolated from the tumor mass (H-2^b). Native peptides associated with the H-2K^b molecules of H-2K^b-attached NPs were exchanged with tumor peptide epitopes. Tumor peptide epitope-loaded NPs efficiently induced tumor-specific CTLs when used to immunize tumor-bearing mice as well as normal mice. This activity of the NPs significantly was increased when co-administered with poly-IC. Accordingly, the NPs exerted significant anti-tumor effects in mice implanted with EG7-OVA thymoma or B16-F10 melanoma, and the anti-tumor activity of the NPs was significantly increased when applied in combination with poly-IC. The most potent anti-tumor activity was observed when the NPs were co-administered with both poly-IC and anti-PD1 mAb. Immunization with tumor epitope-loaded NPs in combination with poly-IC and anti-PD1 mAb in tumor-bearing mice can be a powerful means to induce tumor-specific CTLs with therapeutic anti-tumor activity.

• Journal of the Korea Society for Simulation
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• v.33 no.2
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• pp.37-44
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• 2024

The Korean Helicopter Development Program has successfully introduced the Surion helicopter, a versatile multi-domain operational aircraft that replaces the aging UH-1 and 500MD helicopters. Specifically designed for maneuverability, the Surion plays a crucial role in low-altitude tactical maneuvers for personnel transportation and specific missions, emphasizing the helicopter's survivability. Despite the significance of its low-altitude tactical maneuver capability, there is a notable gap in research focusing on multi-mission tactical maneuvers that consider the risk factors associated with deploying the Surion in the presence of enemy air defenses. This study addresses this gap by exploring a method to enhance the Surion's low-altitude maneuvering paths, incorporating information about enemy air defenses. Leveraging the Proximal Policy Optimization (PPO) algorithm, a reinforcement learning-based approach, the research aims to optimize the helicopter's path planning. Visualized experiments were conducted using a Surion model implemented in the Unity environment and ML-Agents library. The proposed method resulted in a rapid and stable policy convergence for generating optimal maneuvering paths for the Surion. The experiments, based on two key criteria, "operation time" and "minimum damage," revealed distinct optimal paths. This divergence suggests the potential for effective tactical maneuvers in low-altitude situations, considering the risk factors associated with enemy air defenses. Importantly, the Surion's capability for remote control in all directions enhances its adaptability in complex operational environments.

• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.183-189
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• 2024

Against the backdrop of IMO's stricter environmental regulations due to global warming, Europe's Fit for 55 plan, and other initiatives, the establishment of infrastructure for the supply of environmentally friendly marine fuels and policy analysis are more critical than ever. This study comprehensively analyzes existing research and policies on the supply of environmentally friendly marine fuels, as well as trends in regulations, industry responses, and the current status of infrastructure for the supply of environmentally friendly fuels, to draw insightful conclusions. The results show that the establishment of infrastructure for the supply of environmentally friendly fuels is as important as the introduction of environmentally friendly ships, due to the strengthening of environmental regulations. LNG is a viable option in the short term, but a transition to carbon-free fuels is necessary in the long run. In this regard, a strategic approach is needed to focus support on fuels that are advantageous to produce, considering domestic industrial conditions from a long-term perspective. Therefore, the government should actively promote infrastructure development through measures such as supporting the development and supply of environmentally friendly fuels, improving regulations and providing incentives, attracting private investment, and strengthening international cooperation. This study is expected to serve as a valuable resource for setting policy directions for the transition to an environmentally friendly maritime industry. Future research will include a comparative analysis of the economic viability of environmentally friendly fuels and basic research on the selection of fuels that are advantageous to Korea.

• Imaging Science in Dentistry
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• v.54 no.1
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• pp.81-91
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• 2024

Purpose: The objective of this study was to propose a deep-learning model for the detection of the mandibular canal on dental panoramic radiographs. Materials and Methods: A total of 2,100 panoramic radiographs (PANs) were collected from 3 different machines: RAYSCAN Alpha (n=700, PAN A), OP-100 (n=700, PAN B), and CS8100 (n=700, PAN C). Initially, an oral and maxillofacial radiologist coarsely annotated the mandibular canals. For deep learning analysis, convolutional neural networks (CNNs) utilizing U-Net architecture were employed for automated canal segmentation. Seven independent networks were trained using training sets representing all possible combinations of the 3 groups. These networks were then assessed using a hold-out test dataset. Results: Among the 7 networks evaluated, the network trained with all 3 available groups achieved an average precision of 90.6%, a recall of 87.4%, and a Dice similarity coefficient (DSC) of 88.9%. The 3 networks trained using each of the 3 possible 2-group combinations also demonstrated reliable performance for mandibular canal segmentation, as follows: 1) PAN A and B exhibited a mean DSC of 87.9%, 2) PAN A and C displayed a mean DSC of 87.8%, and 3) PAN B and C demonstrated a mean DSC of 88.4%. Conclusion: This multi-device study indicated that the examined CNN-based deep learning approach can achieve excellent canal segmentation performance, with a DSC exceeding 88%. Furthermore, the study highlighted the importance of considering the characteristics of panoramic radiographs when developing a robust deep-learning network, rather than depending solely on the size of the dataset.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.345-352
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• 2024

K-Pop Square Media, located at COEX in Samseong-dong, has gained public attention and mass media focus by showcasing various three-dimensional videos on a large LED display. The video content on the distinctive large curved LED display utilizes a form of media façade technique, establishing itself as a new landmark and attraction within the spatial characteristics of the COEX Plaza. This study aims to examine the characteristics of media facades used in outdoor advertising in urban spaces, focusing on K-Pop Square Media. The approach for this research involves three aspects: Firstly, examining the 'spatial characteristics' of urban public spaces by referencing Kevin Lynch's five elements constituting urban space and William J. Mitchell's exploration of smart spaces and changes in spatial paradigms. Secondly, analyzing the 'digital nature' of outdoor advertising through an examination of three types of Digital Out-Of-Home (DOOH) Media. Thirdly, exploring the 'technological advancements and content composition of media facades' by investigating types of display media (projection, LED screens), the inception of media facades, and the latest display technology like Anamorphic displays. Through this research, it becomes evident that K-Pop Square Media exhibits characteristics of publicness, communicativeness, artistry, and placemaking through the spatial characteristics of smart spaces, the media-specific aspects of Digital Out-Of-Home advertising, and the content composition of media facades.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.923-932
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• 2024

The purpose of this study is to explore the direction of teaching and learning in the era of science and technology. The conclusion is as follows: From the perspective of new materialism, the direction of teaching and learning first emphasizes the importance of learning experience. Second, a teaching method that emphasizes giving meaning is needed. Third, there is a need to consider various perspectives and backgrounds. The direction of teaching and learning in the era of phenomenology is, first, the meaning and meaning of learning is important. Second, it emphasizes the role of independent learners. Third, diverse experiences must be integrated. Fourth, a flexible approach is needed depending on the environment and situation. Rather than a fixed teaching method, it is necessary to use a variety of teaching strategies according to the situation and needs of the learner. From the perspective of actor network theory, the direction of teaching and learning needs to first embrace a variety of actors. Second, there is a need to understand the role of the mediator actor. Third, there is a need to emphasize the dynamic aspect of the network. Fourth, there is a need to emphasize interaction and giving meaning. Fifth, there is a need to strengthen interaction with technology. Sixth, there is a need to create a non-linear and open learning environment. The direction of society and teaching and learning presented in Trend Korea 2024 considers time as a precious resource in a divided society, and teaching and learning must adapt and develop in a useful direction in a changing environment.