• Korean Chemical Engineering Research
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• v.59 no.4
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• pp.542-547
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• 2021

Glass lined impellers are corrosion resistant to most chemicals, including strong acids, and also have a smooth, non-stick surface, easy to clean and free from impurities in the process. Glass lined home base impeller is a multi-purpose impeller designed to stir a wide viscosity range of liquids from low viscosity fluids to high viscosity fluids, among others, cell culture, yeast culture, and beer fermentation pots, especially used for air-water system breathable stirring. The glass lining for HB impellers, which are simple in structure and competitive in performance, is essential to have upper and lower division in order to make the joint area between the impeller and shaft as small as possible. The upper and lower division of the impeller hardly affects the mixing performance, but the aeration performance. In this study, in order to optimize the shape of the Glass Lining HB impeller, a study was conducted on the effect of the angle between the upper and lower impellers, the clearance between the impellers, and the number of baffles on the aeration power. The optimal shape and baffle plate conditions for the Glass lined HB impeller were derived through the study results that the angle and the clearance between the upper and lower impellers decreased the ration of the power consumption with aeration P_g and that without aeration P₀, P_g/P₀.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.48-58
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• 2021

For securing technology and business competences of companies that is the engine of domestic industrial growth, government-supported policy programs for the creation of commercialization results in various forms such as 『Technology Transaction Market Vitalization』 and 『Technology Finance-based R&D Commercialization Support』 have been carried out since 2014. So far, various studies on technology valuation theories and evaluation variables have been formalized by experts from various fields, and have been utilized in the field of technology commercialization. However, Their practicality has been questioned due to the existing constraint that valuation results are assessed lower than the expectation in the evaluation sector. Even considering that the evaluation results may differ depending on factors such as the corporate situation and investment environment, it is necessary to establish a reference infrastructure to secure the objectivity and reliability of the technology valuation results. In this study, we investigate the evaluation infrastructure built by each institution and examine whether the latest artificial neural networks and deep learning technologies are applicable for performing predictive simulation of technology values based on principal variables, and predicting sales estimates and qualitative evaluation scores in order to embed onto the technology valuation system.

• Korean Journal of Construction Engineering and Management
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• v.22 no.1
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• pp.36-46
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• 2021

With an increasing trend toward high-rise modular construction, the simultaneous use of tower cranes at a modular construction site has recently been observed. Tower crane layout planning (TCLP) has a significant effect on cost, duration, safety and productivity of a project. In a modular construction project, particularly, poor decision about the layout of tower cranes is likely to have negative effects like additional employment of cranes and redesign, which will lead to additional costs and possible delays. It is, therefore, crucial to conduct thorough inspection of field conditions, lifting materials, tower crane capacity to make decisions on the layout of tower cranes. However, several challenges exist in planning for a multi-crane construction site in terms of safety and collaboration, which makes planning with experience and intuition complicated. This paper suggests a multi-objective optimization model for selection of the number of tower cranes, their models and locations, which minimizes cost and conflict. The proposed model contributes to the body of knowledge by showing the feasibility of using multi-objective optimization for TCLP decision-making process with consideration of trade-offs between cost and conflict.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.129-138
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• 2021

This study suggests user-friendly design fiction method applying user-centered design process. Design fiction is a method that predicts futures from design perspective with critical discourses and physical representation. It has been regarded importantly in HCI and interaction design realms as aesthetical and experiential approaches, yet not firmly established. Especially, it has not been considered from user-centered perspective which considers users and related problems. Anticipatory design based on current problems which predicts futures and defines design-oriented scenario is becoming significant. Therefore, this study regards design fiction method in relation to prior design also should consider user-centered perspective, not just experimental approaches. In this regards, this study tries to apply user-centered process, specifically affordances which lead more intuitive and direct impact on users into conventional design fiction process. This study led junior students in visual communication major into design fiction process with specific topics and the Design with Intent Toolkit amongst practices of creating affordances so as to develop new design fiction process with its diverse outcomes. Throughout the process, this study aims to suggest alternative user-friendly design fiction method beyond its critical and experiential approaches.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.607-626
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• 2021

The purpose of this study is to verify the effect of leader's managerial coaching behavior on employees' innovative behavior and to confirm the mediating effect of entrepreneurship and the moderating effect of LMX(Leader-Member Exchange). Hypotheses were established based on prior research and variety of theories including broaden-build theory and self-efficacy theory. The survey was accessed via the online, 279 employees over 20's or older, who have worked in various domestic organizations were participated. SPSS 25.0 and AMOS 25.0 were used to verify the reliability and validity of the collected data, and the hypothesis was analyzed by SPSS process macro 3.0. The study found that leader's managerial coaching behavior has positive effects on both employees' entrepreneurship and innovative behavior and that entrepreneurship has mediating effect between leader's managerial coaching behavior and an employees' innovative behavior. The results of this study suggested leader's managerial coaching behavior is a prominent factor in facilitating innovative behavior among employees. Implications include an organizational requirement to develop systems for initiating effective managerial coaching behavior in leadership, and for improvement of both entrepreneurship and LMX among employees.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.299-312
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• 2021

Autonomous vehicles using V2X can drive safely information on areas outside the sensor coverage of autonomous vehicles conventional autonomous vehicles. As V2X technology has emerged as a key component of autonomous vehicles, research on V2X security is actively underway research on risk analysis due to failure of V2X communication is insufficient. In this paper, the service scenario and function of autonomous driving system V2X were derived by presenting the intersection scenario of the autonomous vehicle, the malfunction was defined by analyzing the hazard of V2X. he ISO26262 Part3 process was used to analyze the risk of malfunction of autonomous vehicle V2X. In addition, a fault injection scenario was presented to verify the fail-safe of the simulation-based intersection scenario.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.95-112
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• 2021

This study analyzed the effects of healing agriculture program types on program satisfaction by using functional image and emotional image of the program as mediators for the participants of healing agriculture program. The sub-variables of the healing agriculture program were classified into horticultural healing, animal healing, food healing, and forest healing. 328 questionnaires collected from the participants of healing agriculture program in the whole country were used for empirical analysis, which used SPSS v22.0 and PROCESS macro v3.4 to analyze the parallel multiple mediation model. First, Among the types of healing agriculture programs, animal healing, food healing, and forest healing had a positive (+) effect on functional image. Second, all types of healing agriculture program had a positive (+) effect on emotional image. Third, both functional and emotional images had a significant positive effect on satisfaction. Fourth, among the types of healing agriculture program, horticultural healing, animal healing, and forest healing had a significant effect on satisfaction, while food healing did not maintain the significant effect on satisfaction. Fifth, functional image mediated between healing agriculture program and satisfaction. Sixth, emotional image mediated between healing agriculture program type and satisfaction. In the next study, it is necessary to study for the adjustment of mediators other than the mediators introduced in this study or the controlled mediated analysis through the conditional process model in which the moderator variable is introduced.

• Korean small business review
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• v.42 no.2
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• pp.117-137
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• 2020

We examine the current status of smart factory deployment and diffusion programs in Korea, and seek to promote manufacturing innovation from the perspective of SMEs. The main conclusions of this paper are as follows. First, without additional market creation and supply chain improvement, smart factories are unlikely to raise profitability leading to overinvestment. Second, new business models need to connect "manufacturing process efficiency" with "R&D" and "marketing" in value chain in smart factories. Third, when introducing smart factories, we need to focus on the areas where process-embedded technology is directly linked to corporate competitiveness. Based on the modularity-maturity matrix (Pisano and Shih, 2012) and the examples of U.S. Manufacturing Innovation Institute (MII), we establish the new smart factory deployment policy measures as follows. First, we shift our smart factory strategy from quantitative expansion to qualitative upgrading. Second, we promote by each sector the formation of industrial commons that help SMEs to jointly develop R&D, exchange standardized data and practices, and facilitate supplier-led procurement system. Third, to implement new technology and business models, we encourage partnerships, collaborations, and M&As between conventional SMEs and start-ups and business ventures. Fourth, the whole deployment process of smart factories is indexed in detail to identify the problems and provide appropriate solutions.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.1-18
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• 2022

This study critically analyzed the user experience (UX) of mobile applications, focusing on the advertising platforms of mobile applications for culture and arts content. This study aims to examine the direction for growth of the related mobile applications and propose alternative approaches to improve usability. In this study, a mobile app named 'Moviepre' was selected, and a heuristic evaluation was performed for in-depth exploration. For the selected case, the UX Honeycomb model was reconstructed to analyze useful, usable, desirable, findable, accessible, and credible elements of the case. First, since the users' preference for the price factor did not show a significant correlation with the usefulness of the content and the interface, it is necessary to make sure that the mobile application has unique values to gain a competitive advantage in the market. Second, by adopting customer path stages for analysis, the result indicated that users continuously interact with the service from the first moment they are aware of the mobile application. Third, if the user feels uncomfortable, it is likely that these factors hinder the establishment of a long-term relationship between the users and the mobile application. Finally, brand identity should be clearly established, and brand image strategy needs to be developed to satisfy users' expectations that high-quality culture and arts content will be available through the mobile application.

• Journal of Internet Computing and Services
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• v.24 no.4
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• pp.127-135
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• 2023

This research paper explores the application of FinBERT, a variational BERT-based model pre-trained on financial domain, for sentiment analysis in the financial domain while focusing on the process of identifying suitable training data and hyperparameters. Our goal is to offer a comprehensive guide on effectively utilizing the FinBERT model for accurate sentiment analysis by employing various datasets and fine-tuning hyperparameters. We outline the architecture and workflow of the proposed approach for fine-tuning the FinBERT model in this study, emphasizing the performance of various datasets and hyperparameters for sentiment analysis tasks. Additionally, we verify the reliability of GPT-3 as a suitable annotator by using it for sentiment labeling tasks. Our results show that the fine-tuned FinBERT model excels across a range of datasets and that the optimal combination is a learning rate of 5e-5 and a batch size of 64, which perform consistently well across all datasets. Furthermore, based on the significant performance improvement of the FinBERT model with our Twitter data in general domain compared to our news data in general domain, we also express uncertainty about the model being further pre-trained only on financial news data. We simplify the complex process of determining the optimal approach to the FinBERT model and provide guidelines for selecting additional training datasets and hyperparameters within the fine-tuning process of financial sentiment analysis models.