• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.1
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• pp.233-262
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• 2024

Due to the rapid evolution of vehicular ad hoc networks (VANETs), effective communication and security are now essential components in providing secure and reliable vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. However, due to their dynamic nature and potential threats, VANETs need to have strong security mechanisms. This paper presents a novel approach to improve VANET security by combining the Vehicular Delay-Tolerant Network (VDTN) protocol with the Deep Reinforcement Learning (DRL) technique known as the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm. A store-carry-forward method is used by the VDTN protocol to resolve the problems caused by inconsistent connectivity and disturbances in VANETs. The TD3 algorithm is employed for capturing and detecting Worm Hole Attack (WHA) behaviors in VANETs, thereby enhancing security measures. By combining these components, it is possible to create trustworthy and effective communication channels as well as successfully detect and stop rushing attacks inside the VANET. Extensive evaluations and simulations demonstrate the effectiveness of the proposed approach, enhancing both security and communication efficiency.

• Journal of The Korea Institute of Healthcare Architecture
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• v.26 no.3
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• pp.17-26
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• 2020

Purpose: This paper presents research evidence that the environmental design of the doffing area in a biocontainment unit (BCU) can have a measurable impact on increasing the safety of frontline healthcare workers (HCW) during doffing of high-level personal protective equipment (PPE), and proposes optimized biocontainment unit design. Methods: From 2016 to 2019, The SimTigrate Design Lab conducted 3 consecutive studies, focusing on ways in which the built environment may support or hinder safe doffing. In the first study, to identify the risky behaviors, we observed 56 simulation exercises with HCWs in 4 BCUs and 1 high-fidelity BCU mockup. In the second study, we tested the effectiveness of a redesigned doffing area on improving the HCWs performance and used simulation, observation, and rapid prototyping in 1 high-fidelity mockup of a doffing area. In a follow-up study, we used simulation and co-design with HCWs to optimize the design of a safer doffing area in a full-size pediatric BCU mock-up. Results: We identified 11 specific risky behaviors potentially leading to occupational injury, or contamination of the PPE, or of the environment. We developed design strategies to create a space for safer doffing. In the second study, in a redesigned doffing area, the overall performance of HCW improved, and we observed a significant decrease in the number of risky behaviors; some risky behaviors were eliminated. There was a significant decrease in physical and cognitive load for the HCWs. Finally, we propose an optimized layout of a BCU for a safer process of PPE doffing. Implications: The proposed BCU design supports better staff communication, efficiency, and automates safer behaviors. Our findings can be used to develop design guidelines for spaces where patients with other highly infectious diseases are treated when the safety of the patient-facing HCWs is of critical importance.

• The Journal of Society for e-Business Studies
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• v.17 no.4
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• pp.17-37
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• 2012

The evolution of the IT facilitated the social actions of the consumers by supporting social communication of the online users. At the same time it help for the consumer to post malicious comments on the Internet or to spread the unproven news for distorting the public opinion in the SNSs. Although the number of the consumer unethical behaviors and the estimated damage of the innocent companies have been increased, a few studies had investigate on this issue. Based on the Literature on the consumer unethical behaviors and the institution based trust, we had developed the defense strategies against the consumer unethical behaviors. This study would introduce the new perspective that the consumer could always not be innocent. Also, the defense strategy developed in this study could contribute to make the guideline for consumer service manual.

• Korean Journal of Occupational Health Nursing
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• v.31 no.4
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• pp.157-166
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• 2022

Purpose: The purpose of this study was to identify factors influencing fall-prevention behaviors of nurses working in long-term care hospitals. Methods: Participants included 147 nurses working in 10 long-term care hospitals in B city. Data were collected from September 20-October 12, 2016. SPSS/WIN 21.0 was used for analysis with t-test, ANOVA, Scheffé test, Pearson correlation coefficients, and multiple regression. Results: It was found that attitude toward fall (r=.29, p<.001) and patient safety culture (r=.25, p=.002) had a significant positive correlation with fall-prevention behaviors of nurses working in long-term care hospitals. The factors influencing fall-prevention behaviors in participants were clinical career and patient safety culture (β=.21, p=.012), contributing to 19% of the total variance in fall- prevention behaviors. Conclusion: The findings showed that systematic delivery of differentiated fall prevention education is preferred to nurse's clinical career as a private factor to improve fall-prevention behaviors of nurses in long term care hospital. Particularly, it is imperative to conduct periodical and practical fall-prevention education for nurses to prevent career discontinuity. An independent report system and open communication system as well as a scheme that can disseminate patient safety culture in individual departments to implement patient direct nursing are required to encourage patient safety culture in organizations.

• Health Policy and Management
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• v.33 no.3
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• pp.338-354
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• 2023

Background: The influence of social capital on the spread of coronavirus disease 2019 (COVID-19) and related behaviors and perceptions has been recognized during the COVID-19 pandemic. This study aims to analyze the trends in social capital using primary data from the Korean Community Health Survey, which is the only available source in Korea for local-level social capital analysis. It also investigates the relationship between various variables, including social capital, as factors influencing COVID-19-related behaviors and perceptions. Methods: The study analyzed the temporal trends of social capital using raw data from four community health surveys conducted in 2017, 2019, 2020, and 2021. A multilevel analysis was conducted to examine the relationship between social capital and COVID-19-related behaviors and perceptions following the onset of the COVID-19 pandemic in 2020. Results: Social capital consists of trust, bonding social capital, and bridging social capital. Within the trust sub-factor, trust in neighbors (Trust-1) declined after the COVID-19 pandemic, whereas trust in safety and general environment (Trust-2) and trust in medical services and public transportation (Trust-3) increased. Additionally, the gap between municipalities narrowed. COVID-19-related behaviors and perceptions, such as adherence to COVID-19 prevention measures, return to normal activities, and fear of COVID-19, showed improvement in 2021 compared to the previous year. Individual-level trust in neighbors was associated with reduced fear of COVID-19, while community-level trust in neighbors was associated with increased fear of COVID-19. Conclusion: Social capital plays a role in mitigating public health crises, and it is necessary to implement active policies that address the gap in social capital between metropolitan and rural areas. Strengthening risk communication regarding emerging infectious diseases such as COVID-19 is crucial.

• Journal of Fashion Business
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• v.28 no.3
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• pp.90-103
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• 2024

The advancement of information and communication technologies has led to the rise of social media, giving rise to a new type of celebrity known as the "social media influencer". Social media influencers exert their influence not only by promoting products for various companies and brands but also by launching their own businesses. In other words, influencers leverage their credibility to create value in multiple markets as human brands, based on their unique characteristics and diverse images. Nowadays, social media influencers have become a type of human brand, supported by followers who enthusiastically engage in the influencers' businesses, a phenomenon also known as social shopping. Based on the human brand theory and doppelgänger effects, this study aims to investigate the impact of influencers' credibility, specifically their expertise, trustworthiness, and attractiveness on consumers' social shopping behaviors. Additionally, it examines the influence of consumers' desire to imitate influencers on their social shopping behaviors. A survey conducted with 300 female social media users revealed that trustworthiness and attractiveness significantly influenced imitation intentions and social shopping behaviors, while expertise did not show significant effects. Furthermore, imitation intentions had a significant impact on social shopping behaviors. These findings suggest that the attributes consumers perceive in influencers as human brands evoke a desire to imitate them, ultimately leading to social shopping behaviors.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.507-510
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• 1996

In this paper we present the multi-agent robot system developed for participating in micro robot soccer tournament. The multi-agent robot system consists of micro robot, a vision system, a host computer and a communication module. Mcro robot are equipped with two mini DC motors with encoders and gearboxes, a R/F receiver, a CPU and infrared sensors for obstacle detection. A vision system is used to recognize the position of the ball and opponent robots, position and orientation of our robots. The vision system is composed of a color CCD camera and a vision processing unit. Host computer is a Pentium PC, and it receives information from the vision system, generates commands for each robot using a robot management algorithm and transmits commands to the robots by the R/F communication module. And in order to achieve a given mission in micro robot soccer game, cooperative behaviors by robots are essential. Cooperative work between individual agents is achieved by the command of host computer.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.1
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• pp.201-208
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• 2017

This paper propose triangular fuzzy membership function to make model that based on awareness of human in the love model that with external force, which have the basic love model of Romeo and Juliet. This paper represents the phenomena of behaviors by time series and phase portraits after using this fuzzy triangular membership function as an external force and also confirms existence of nonlinear characteristics.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.12
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• pp.1389-1394
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• 2015

Recently many effort appears applying the concept of fractional calculus that can be represented by fractional differential equation in the control engineering, physics and mathematics. This paper describes the fractional order with real order for Duffing equation which can be represented by integer order. This paper also confirms the existence of chaotic behaviors by using time series and phase portrait with varying the parameter of real order.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11b
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• pp.1317-1320
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• 2002

We present in this paper a new version of AODV that incorporates with "Minimizing Maximum node cost" by formulating that metric as a cost function of residual energy of nodes. An additional parameter is added to the cost function to consider the routing performance along with power-efficiency. The motivation of adding that new parameter is originated from the trace off between power-saving behaviors and routing performance.