• Journal of Ocean Engineering and Technology
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• v.35 no.3
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• pp.229-237
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• 2021

A numerical hydrodynamic performance analysis of the pitch-type multibody wave energy converter (WEC) is carried out based on both linear potential flow theory and computational fluid dynamics (CFD) in the unidirectional wave condition. In the present study, Salter's duck (rotor) is chosen for the analysis. The basic concept of the WEC rotor, which nods when the pressure-induced motions are in phase, is that it converts the kinetic and potential energies of the wave into rotational mechanical energy with the proper power-take-off system. This energy is converted to useful electric energy. The analysis is carried out using three WEC rotors. A multibody analysis using linear potential flow theory is performed using WAMIT (three-dimensional diffraction/radiation potential analysis program), and a CFD analysis is performed by placing three WEC rotors in a numerical wave tank. In particular, the spacing between the three rotors is set to 0.8, 1, and 1.2 times the rotor width, and the hydrodynamic interaction between adjacent rotors is checked. Finally, it is confirmed that the dynamic performance of the rotors slightly changes, but the difference due to the spacing is not noticeable. In addition, the CFD analysis shows a lateral flow phenomenon that cannot be confirmed by linear potential theory, and it is confirmed that the CFD analysis is necessary for the motion analysis of the rotor.

• Korean Medical Education Review
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• v.23 no.1
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• pp.3-10
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• 2021

Learning by teaching (LbT) has long been recognized as an important learning behavior that constructs meaning based on interactions between learners. This study aimed to explore the meaning of LbT as an important learning activity for future implementation in education. LbT is based on the cultural historical activity theory and sociocultural learning theory, as developed by scholars including Vygotsky. These frameworks value the construction of meaning based on language, and LbT is reported to be effective in constructing meaning. In addition, within the zone of proximal development posited by Vygotsky, learning through interaction between learners improves academic achievement, higher-order thinking, deep learning, and reflective learning. LbT also promotes students' learning presence, and strengthens various competencies such as collaboration and communication skills. Interactive behavior between learners in the form of LbT has been explored as an approach to teaching and learning, with methods including peer learning, peer tutoring, peer teaching, peer mentoring, Lernen durch Lehren, and peer-assisted learning. LbT has also been applied as a learning method. In the future, LbT has boundless potential to improve learning through activities such as flipped learning or online learning based on interactions between learners.

• Fashion & Textile Research Journal
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• v.22 no.6
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• pp.777-788
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• 2020

Growth in the sharing economy and sustainability have grown has influenced collaborative consumption that values usage rather than ownership. Collaborative fashion consumption platforms have become a rapidly growing business and need to be investigated. A theoretical review and case study were conducted to analyze the typology of collaborative fashion consumption consisting of renters, lenders, and platforms. Applying the nascent literature of partial organization, this paper outlines a typology, user-driven types in which lenders take responsibility to manage rental products and platform-driven types in which platforms are in charge. Four representative cases such as Hurr Collective, Villageluxe, Wardrobe, and Closetshare were selected in order to derive the roles of collaborative fashion consumption platforms. First, it is critical to balance between renters and lenders in collaborative fashion consumption platforms. Second, it is imperative to establish trust about the platform and formulate mutually understandable guidelines. Third, the concept of lenders needs to be broadened to individuals as well as fashion brand companies. Fourth, it is necessary to improve interaction between renters and lenders in platform-driven types. This study represents one careful step to understand collaborative consumption platforms that also provides managerial and academic implications.

• Journal of Distribution Science
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• v.20 no.5
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• pp.85-96
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• 2022

Purpose: This study aims to dissemination a new concept based on empirical research on enhancing entrepreneurship intention (EI) in the theory of planned behavior (TPB) through entrepreneurship mindset (EM) and task technology fit (TTF). The TTF is a moderating variable in strengthening the relationship between EM and EI. Research design, data, and methodology: This research design was quantitative research. The respondents were 202 students from Malaysia and Indonesia who had filled out and collected an online questionnaire in Microsoft form. Three hypotheses examined the direct influence and the indirect impact of EM on EI through antecedent variables of TPB, and the effect of TTF as moderating variable to enhance the relationship between EM and EI. The data was analyzed using the WarpPLS version 7.0. Results: The result showed that EM had a significant impact on the students' EI. The interaction of EM and TTF was significantly able to improve EI. Conclusions: The findings contributed new ideas to develop the theoretical framework of the TPB model and were able be utilized by lecturers to consider the integration of EM and TTF in the model. The novelty of this study elaborated the EM and TTF variables as an extended model of the TPB.

• Journal of Distribution Science
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• v.21 no.3
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• pp.25-36
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• 2023

Purpose: Brand community in higher education institutions comes up as an important topic to be discussed because the relationships among consumers can support the institutional brand and ultimately give meaning and vitality to the market-oriented strategy. This study aims to investigate how the literature on brand community in higher education have been distributed in research trends, theoretical frameworks, and methods. Research design, data and methodology: A total of 24 articles were organized from four reputable international databases. Content analysis were performed followed by synthesis toward potential directions and suggestions. Results: The researches in this area have increasingly focused on online interaction. Social identity theory and relationship theory were the two most prevalent theories used. Since the internet provides any social relationship with a specific relationship to form the brand community, its contextualization in higher education resulted in new concept implementation. Conclusions: The relationship within online participati on has impacted the market-oriented strategy of higher education in searching for ways toward a long-term and enduring bond among students, alumni, institutions and brands. As there is a plenteous prospect of data availability combined with big data analysis technology, the online participation will pique the interest of scholars to conduct further research on it.

• Journal of Navigation and Port Research
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• v.46 no.5
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• pp.458-470
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• 2022

As the 4th industrial revolution progresses, the application of several cutting-edge technologies such as the Internet of Things, big data, and mixed reality (MR) in relation to autonomous ships is being considered in the maritime logistics field. The aim of this study was to apply the concept of a digital twin model based on Human Machine Interaction (HMI) including a digital twin model and the role of an operator to a ship. The role of the digital twin is divided into information provision, support, decision, and implementation. The role of the operator is divided into operation, decision-making, supervision, and standby. The system constituting the ship was investigated. The digital twin system that could be applied to the ship was also investigated. The cloud-based digital twin system architecture that could apply investigated applications was divided into ship data collection (part 1), cloud system (part 2), analysis system/ application (part 3), and MR/mobile system (part 4). A Mixed Reality device HoloLens was used as an HMI equipment to perform a simulation test of a digital twin system of an 8 m battery-based electric propulsion ship.

• Journal of English Language & Literature
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• v.56 no.1
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• pp.47-64
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• 2010

It is unfair that environmental pragmatism has been regarded as a mouthpiece for industrial expediency and business boosterism. John Dewey's radical pragmatism known as 'Instrumentalism' has provoked ecological fundamentalists' criticism more vehemently than any other pragmatic philosophies. However, most of the presumptive misunderstandings of such critics as Holmes Rolston, J. Baird Calliott, Erich Katz, C. A. Bowers and many others come from their limited or reduced reading of Deweyan pragmatism. The following three aspects of Deweyan pragmatism can work out in opening up a dialogical space with those eco-centrist thinkers mentioned above. First, the concept of Dewey's 'primary experience' can articulate the foundationalist view of nature, which is often found in aboriginal cultures. Second, as Andrew Light points out, ecological essentialism can share its metaphilosophical position with the pragmatist epistemology. While Anthony Weston pursues pluralism, admitting that the foundationalism might be one of the efficient approaches to nature, Eric Katz is also clearly attracted to the metaphilosophical element in Weston's argument that anyone who attempts to claim the 'inherent value' of non-human nature never possibly avoids a pitfall of anthropomorphism. Lastly, in a more comprehensive perspective, Dewey's pragmatism shows a philosophical complexity, what Larry A. Hickman calls 'post-postmodernism.' a dynamic interaction between modernism and postmodernism. Significantly enough, the environmental version of this complexity can procure a meeting ground between foundationalist ecology and the pragmatic view of nature.

• Journal of Software Assessment and Valuation
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• v.15 no.2
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• pp.85-93
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• 2019

In an open, heterogeneous environment based on machine-to-machine (M2M) interactions, service selection is a critical issue and the concept of social trust can be applied to service selection so that IoT devices can make the best choice for interaction. In this paper, we propose a method for evaluating the trust level of the service and for estimating the QoS of the composite service using a profile created based on social trust relationship in IoT environment. As the service selection is made through quantitative evaluation, it is expected that the result of a more reliable service combination can be obtained.

• The Journal of Korea Robotics Society
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• v.18 no.4
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• pp.436-443
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• 2023

With the advancement of robot intelligence, the concept of man and unmanned teaming (MUM-T) has garnered considerable attention in military research. In this paper, we present a transformer-based architecture for predicting the health status of agents, with the help of multi-head attention mechanism to effectively capture the dynamic interaction between friendly and enemy forces. To this end, we first introduce a framework for generating a dataset of battlefield situations. These situations are simulated on a virtual simulator, allowing for a wide range of scenarios without any restrictions on the number of agents, their missions, or their actions. Then, we define the crucial elements for identifying the battlefield, with a specific emphasis on agents' status. The battlefield data is fed into the transformer architecture, with classification headers on top of the transformer encoding layers to categorize health status of agent. We conduct ablation tests to assess the significance of various factors in determining agents' health status in battlefield scenarios. We conduct 3-Fold corss validation and the experimental results demonstrate that our model achieves a prediction accuracy of over 98%. In addition, the performance of our model are compared with that of other models such as convolutional neural network (CNN) and multi layer perceptron (MLP), and the results establish the superiority of our model.

• Journal of Ocean Engineering and Technology
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• v.37 no.6
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• pp.238-246
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• 2023

This paper proposes an effective inertia coefficient (EIC) in the Morison equation for better wave-force calculations. The OC4 semi-submersible floating offshore wind turbine (FOWT) platform was considered to test the feasibility. Large diffraction at large Keulegan-Carpenter (KC) numbers and the interaction between columns can result in errors in estimating the wave force using the Morison equation with a theoretical inertia coefficient, which can be corrected by the EIC as a function of the wave period and direction. The horizontal and vertical wave forces were calculated using the Morison equation and potential theory at each column, wave period, and wave direction. The EICs of each column were then obtained, resulting in a minimal difference between the Morison inertia force and the wave excitation force by the potential theory. The EICs, wave forces, phase angles, and dynamic motions were compared to confirm the feasibility of an EIC concept under regular and random waves.