• Journal of Distribution Science
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• v.21 no.10
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• pp.21-29
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• 2023

Purpose: The current study focused on developing Klong Kone Shrimp Paste (Mesopodopsis) products and packaging, aiming to enhance the capabilities of entrepreneurs with cultural capital in post-pandemic Samut Songkhram Province. Research design, data and methodology: This study sought to analyze product and packaging issues and examine packaging expectations for Klong Kone shrimp paste. A combination of quantitative and qualitative methods was used, including a questionnaire administered to a sample of 400 individuals who purchased community enterprise products. Descriptive analysis, involving percentage, mean, and S.D., along with qualitative analysis through phenomenological methods, such as in-depth interviews and focus groups, were conducted with community enterprise entrepreneurs, experts, and customers. Results: The findings indicate that addressing product conditions and packaging issues with Klong Kone shrimp paste can be achieved by incorporating an attached label on the community product packaging. Conclusion: This approach is necessary due to the lack of community identity reflection and unattractive design, which currently deter customers from considering the products as souvenirs. Additionally, diversifying product offerings is recommended to better align with consumer needs. In terms of packaging expectations, a majority of respondents expressed a strong preference for an attractive appearance.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.787-800
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• 2023

This paper is a study aimed at facilitating a comprehensive understanding of the music metaverse platform that will emerge in the era of Web 3.0 and exploring productive strategies for its construction. We examine the significance of the metaverse music platform from various perspectives and investigate the developmental process of digital music platforms from Web 1.0 to 3.0. Subsequently, assuming the emergence of metaverse platforms as a transition to Web 3.0, we align this transition with technological(VR technology, wearable devices, generative AI), cultural(digital avatars, fandom), and economic(NFT) discussions related to Web 3.0. These discussions are integrated with the developmental strategies of the metaverse music platform. Through this study, we hope to enhance the understanding of the metaverse music platform and provide insights into potential construction strategies.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.45-50
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• 2023

In software development, the elicitation and analysis of requirements is a crucial phase, and it involves considerable time and effort due to the involvement of various stakeholders. ChatGPT, having been trained on a diverse array of documents, is a large language model that possesses not only the ability to generate code and perform debugging but also the capability to be utilized in the domain of software analysis and design. This paper proposes a method of requirements engineering that leverages ChatGPT's capabilities for eliciting software requirements, analyzing them to align with system goals, and documenting them in the form of use cases. In software requirements engineering, it suggests that stakeholders, analysts, and ChatGPT should engage in a collaborative model. The process should involve using the outputs of ChatGPT as initial requirements, which are then reviewed and augmented by analysts and stakeholders. As ChatGPT's capability improves, it is anticipated that the accuracy of requirements elicitation and analysis will increase, leading to time and cost savings in the field of software requirements engineering.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.6
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• pp.851-863
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• 2023

The mandatory use of BIM(Building Information Model) in larger Korean public construction projects necessitates participants to have a comprehensive understanding of the relevant procedures and technologies, especially during the bidding stage. However, most small and medium-sized construction and engineering companies possess limited BIM proficiency and understanding. This hampers their ability to recognize bidding requirements and make informed decisions. To address this challenge, our study introduces a method to gauge the complexity of BIM requirements in bidding documents. This is achieved by integrating a morphological analyzer, which encompasses BIM bidding terminology, with a deep learning model. We investigated the effects of the parameters in our proposed deep learning model and examined its predictive validity. The results revealed an F1-score of 0.83 for the test data, indicating that the model's predictions align closely with the actual BIM performance challenges.

• Journal of the Korean Society of Safety
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• v.38 no.5
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• pp.36-42
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• 2023

In this study, 50 ABE-type hard hats were procured from five certified commercial manufacturers, and shock absorption tests were conducted in accordance with Protective Equipment Safety Certification Notice No. 2020-35. The tests were performed under both high- and low-temperature conditions, adhering to safety helmet testing standards. The highest shock transmission ranges were recorded in the tests, with an average energy range of 2,600-4,108 N at high temperatures and 2,316-3,991 N at low temperatures. All five hard hat models demonstrated a maximum transmitted impact force below 4,450 N, without any loss of cap and attachment functionality, confirming their compliance with performance standards. Furthermore, we evaluated the side impact performance of the safety helmets of each company, with an average range of 4,722-5,267 N. Company A exhibited the lowest measurement at 4,722 N. Comparing these results with international safety standards and the national shock absorption test criteria, it was observed that the maximum transmitted shock value using government-specified impact weight falls within the range of 4,450-5,000 N. However, it was noted that developed countries have established specific standards for the side impact forces on safety helmets, which are legally mandated. Consequently, it is imperative for South Korea to enhance its safety helmet side impact performance test methodology to align with domestic standards in the future.

• Journal of the Korean GEO-environmental Society
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• v.25 no.7
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• pp.5-19
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• 2024

During the blasting process, a fracture zone is formed in the vicinity of the blast hole. Any damage that extends beyond the excavation boundary line necessitates the implementation of an additional support system to assure safety. Typically, fracture zone radius is estimated from blast hole pressure using theoretical methods due to its simplicity. However, linear charge concentration (kg/m) is used for tunnel blasting. This paper compiles Swedish experimental datasets to estimate the radius of fracture zones based on linear charge concentration. Further numerical analyses are performed in LS-DYNA for coupled single-hole blasting. The Riedel-Hiermaier-Thoma (RHT) model has been selected as the constitutive model for this investigation. The numerical model is validated against small-scale laboratory tests. Parametric studies are conducted to predict fracture zones in granite and sandstone rocks using two kinds of explosives, PETN and AFNO. The analyses evaluate ten types of blast hole sizes, ranging from 17 to 100 mm. The results indicate that granite has a larger fracture zone than sandstone, and the PETN explosive predicts more damage than ANFO. Smaller blast holes exhibit smaller fracture zones in comparison to larger blast holes. Wave propagation is more rapidly attenuated in granite than in sandstone. Subsequently, the predicted fracture zone outcomes are compared with the empirical dataset. Fracture zones of medium blast hole diameter align well with the experimental data set. A predictive equation is derived from the data set, which may be used to evaluate blast design to manage fracture zones beyond the excavation line.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.31-48
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• 2024

The domestic automotive industry must consider a strategic shift from traditional automotive component manufacturing to align with future trends such as connectivity, autonomous driving, sharing, and electrification. This research conducted topic modeling on R&D projects in the future automotive sector funded by the Ministry of Trade, Industry, and Energy from 2013 to 2021. We found that topics such as sensors, communication, driver assistance technology, and battery and power technology remained consistently prominent throughout the entire period. Conversely, topics like high-strength lightweight chassis were observed only in the first period, while topics like AI, big data, and hydrogen fuel cells gained increasing importance in the second and third periods. Furthermore, this research analyzed the areas of concentrated investment for each period based on topic-specific government investment amounts and investment growth rates.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.1
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• pp.20-36
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• 2024

Over the past three years, even amidst viral threats, a notable shift towards online interactions has been observed. This trend persists the presence of significant viral concerns. Our study centered on female office workers in their twenties and thirties in Korea, seeking to comprehend how they enhance and present their external image in the digital era. We explored the use of digital devices and fashion choices that enable them to amplify their self-expression in video conferences. Using a mix of surveys and in-depth interviews, we employed snowball sampling to recruit twelve participants. These women were given the opportunity to shape their digital persona either to uphold their current image or to adapt it for interactions where they weren't face-to-face. Their desired images fell into three distinct categories: an authoritative professional image, a clean modern image, and a natural image. Depending on the context, the participants aimed to convey these images independently or in various combinations. Our findings suggest the need to develop strategies for acknowledging and projecting individual fashion identities in non-face-to-face interactions. Such strategies would empower individuals to better align their online personas with their desired self-image, whether it's professional, modern, clean, natural, or a combination thereof.

• The Journal of Economics, Marketing and Management
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• v.12 no.2
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• pp.27-36
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• 2024

Purpose: As the number of vegetarians continues to rise in tandem with the development of consumer culture, a novel economic trend named 'Vegenomics' has surfaced. In addition, as interest in social and environmental sustainability such as health, environment, and animal welfare grows due to the COVID-19 pandemic, the alternative protein food market is expanding, focusing on plant-based alternative meat. Research design, data, and methodology: Therefore, this study aims to investigate the impact of the consumption value of alternative protein products on self-efficacy and purchase intention. This study collected a total of 187 questionnaires by conducting an online survey from May 1 to July 10, 2023, to verify the research model and hypothesis. The collected data were subjected to exploratory factor analysis, confirmatory factor analysis, and discriminant validity analysis using SPSS 20.0 and AMOS 20.0 programs for structural equation modeling. Results: The results of analyzing consumers' self-efficacy and purchase intention regarding the functional value, health-oriented value, ethical value, and ecological value of alternative protein products are as follows. First, among the consumption values of alternative protein products, ecological value was found to have a significant positive (+) effect on self-efficacy. Second, consumers' self-efficacy for alternative protein products was found to have a significant positive (+) effect on purchase intention. Conclusion: This study is anticipated to provide valuable insights for the formulation of effective marketing strategies for alternative protein products and the development of products that align with consumer needs.

• Journal of the korean academy of Pediatric Dentistry
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• v.51 no.1
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• pp.99-108
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• 2024

Early loss of the primary maxillary second molar can lead to complications in which mesial drift of the adjacent first molar (M1) can disturb eruption of the succedaneous second premolar (P2). This study reports two cases of space loss for P2 caused by early exfoliation of its predecessor. After the eruption of the first premolar, the Jones jig appliance was used to distalize M1 and regain space for the eruption of P2. The appliance was further utilized to align the palatally erupted P2 into the dental arch. In both cases, the space and corrected position of P2 were well maintained. Early exfoliation of the primary second molar caused by mesial encroachment of M1 is a common phenomenon, and pediatric dentists should attend to this during routine examinations. An appropriate intervention should be initiated when the primary second molar is lost during the mixed dentition period. If used with careful anchorage control, the Jones jig appliance can effectively resolve this problem.