• Asia Marketing Journal
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• v.15 no.2
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• pp.133-173
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• 2013

Consumers empty perfectly safe to intake perishable foods everyday if they are older than what prints on expiration date. The variation in expiration dating is freshness labeling represented in various terms such as sell by, package, best before, and so on. Regardless of the terms used and meanings are attached, consumers tend to conceive of freshness labeling on food as end of its shelf-life. Consequently, the food waste becomes a big issue for businesses in food sector. In an effort to demonstrate flexibility on this, KFDA(Korea Food & Drug Administration) introduced "best before" date in domestic market place to reduce food waste, based on the food safety test conducted by KCA(Korea Consumer Agency 2009). The results indicated freshness labeling on food should not be considered as the end of its life. Current study examined the underlying mechanisms(i.e. risk perception, self-construals, and indecisiveness) that influence consumers' intention on prolonged consumption of food beyond its stamped date when the KCA test results are shown to them. In addition, the moderating effect of regulatory focus is tested in the causal relationships between underlying mechanisms and different groups of prolonged consumption intention. Study participants are divided into three groups of prolonged consumption intention: no-change, moderate-change, and wide-change. The group with moderate-change in intention being as our point of reference, logistic regression analyses are conducted on 276 sample population. The results indicated that consumers with high source credibility risk are likely to show wide-change in intention on prolonged consumption while physical risk did not show significance. The consumers with independent self-construal are likely to show no-change in intention on prolonged consumption while interdependent self-construal did not show significance. Indecisiveness showed association a group with wide-change in intention on prolonged consumption. The moderating effect of regulatory focus showed valid results in most situations; the promotion-focused consumers showed wide-change in intention, while prevention-focused consumers showed no-change in intention. Furthermore, the moderating effect of promotion-focus showed a dominant position over the causal effect of indecisiveness in which decisive consumers(i.e. no-change in intention); if they are promotion-focused they tend show for the wide-change in intention instead. It is important to note that for those promotion-focused consumers(or situations), promotion-related arguments are more effective, while for those prevention-focused consumers(or situations) prevention- related arguments are more effective means of persuasion.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.685-695
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• 2023

This study aimed to investigate the current utilization and implications of digital learning support media in the field of French studies, and to explore future research directions. To achieve this, we conducted a comprehensive review of the use of digital media in various learning processes within French studies. Additionally, we examined the direct application of ChatGPT, an emerging technology, to learning by extending its use to foreign language and education fields. Our findings indicate that the application of digital learning support media in French studies is somewhat limited, with selective use in processes such as online class support media, pre-class learning, efficient learning and interaction, and self-directed learning. In the case of ChatGPT, our research found that no studies have been conducted within French studies, and very few studies have been conducted on its practical application in other educational fields. While ChatGPT has a wide range of applications and has shown positive effects on learners, ethical concerns have been raised regarding the quality, source, and reliability of information. Therefore, future research in French studies should focus on educational application and effectiveness verification in university teaching and learning situations, as well as interdisciplinary convergence with digital learning support media.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.6
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• pp.30-38
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• 2023

As the number of old buildings subject to safety inspection increases, the burden on designated institutions and management entities that are responsible for safety management is increasing. Accordingly, when selecting buildings subject to safety inspection, appropriate safety inspection standards and appropriate technology are essential. The current safety inspection standards for old buildings give low scores when it is difficult to confirm damage such as cracks in structural members due to finishing materials. This causes the evaluation results to be underestimated regardless of the actual safety status of the structure, resulting in an increase in the number of aging buildings subject to safety inspection. Accordingly, this study proposed a thermal imaging technique, a non-destructive and non-contact inspection, to detect cracks inside finishing materials. A concrete specimen was produced to observe cracks inside the finishing material using a thermal imaging camera, and thermal image data was measured by exciting a heat source on the concrete surface and cracked area. As a result of the measurement, it was confirmed that it was possible to observe cracks inside the finishing material with a width of 0.3mm, 0.5mm, and 0.7mm, but it was difficult to determine the cracks due to uneven temperature distribution due to surface peeling and peeling of the wallpaper. Accordingly, as a result of performing data analysis by deriving the amplitude and phase difference of the thermal image data, clear crack measurement was possible for 0.5mm and 0.7mm cracks. Based on this study, we hope to increase the efficiency of field application and analysis through the development of technology using big data-based deep learning in the diagnosis of internal crack damage in finishing materials.

• Journal of Animal Science and Technology
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• v.65 no.6
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• pp.1180-1193
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• 2023

Most carcass and meat quality traits are moderate to highly heritable, indicating that they can be improved through selection. Genetic evaluation for these types of traits is performed using performance data obtained from commercial and progeny testing evaluation. The performance data from commercial farms are available in large volume, however, some drawbacks have been observed. The drawback of the commercial data is mainly due to sorting of animals based on live weight prior to slaughter, and this could lead to bias in the genetic evaluation of later measured traits such as carcass traits. The current study has two components to address the drawback of the commercial data. The first component of the study aimed to estimate genetic parameters for carcass and meat quality traits in Korean Hanwoo cattle using a large sample size of industry-based carcass performance records (n = 469,002). The second component of the study aimed to describe the impact of sorting animals into different contemporary groups based on an early measured trait and then examine the effect on the genetic evaluation of subsequently measured traits. To demonstrate our objectives, we used real performance data to estimate genetic parameters and simulated data was used to assess the bias in genetic evaluation. The results of our first study showed that commercial data obtained from slaughterhouses is a potential source of carcass performance data and useful for genetic evaluation of carcass traits to improve beef cattle performance. However, we observed some harvesting effect which leads to bias in genetic evaluation of carcass traits. This is mainly due to the selection of animal based on their body weight before arrival to slaughterhouse. Overall, the non-random allocation of animals into a contemporary group leads to a biased estimated breeding value in genetic evaluation, the severity of which increases when the evaluation traits are highly correlated.

• Journal of Aerospace System Engineering
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• v.17 no.6
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• pp.1-8
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• 2023

Research, such as developing alternative energy in the transportation field, including aviation, is being actively conducted to solve the issue of current climate change. Interest in ammonia fuel as a carbon free energy (CFE) source is increasing due to the ease of liquefaction and transportation and similarity in energy density to that of methanol. However, explosiveness and toxicity of ammonia make it difficult to handle. Therefore, in this study, stable ammonia production was attempted using relatively easy-to-handle urea water solution (UWS). High temperature steam was used to promote the hydrolysis of ammonia. In order to determine the causes for ammonia production below the theoretical equivalent ratio, it was suggested that there were not enough collisions to promote the hydrolysis based on the kinetic theory of gases. The hydrolysis of unreacted isocyanic acid (HNCO) was tested according to the change in water supply. As a result, an increased amount of ammonia produced was confirmed. The increased amount of ammonia produced in a certain section was dependent on the steam temperature and the flow rate of water supplied.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.195-205
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• 2022

This study aims to investigate the relationship between Corporate Venture Capital(CVC) investments and firm innovation, exploring the moderating effect of corporate ESG risk on this relationship. First, adopting the organizational learning theory, I theorize a process in which a firm's relationship with a venture through CVC investments acts as an external innovation source for learning and ultimately short-term innovation. Also, based on the discussion of the stakeholder theory, I argue that when a firm is evaluated as having high ESG risk externally, this may have a negative moderating effect that weakens the relationship between CVC investments and innovative performance. In order to verify these hypotheses, panel data analysis was performed using CVC investments data, patent application data, and ESG risk scores of US high-tech firms from 1993 to 2018. As a result of the analysis, as expected, it was found that the more the firm invests in ventures through CVC, the more the firm's innovative performance increases. In addition, the social aspect of ESG risk of a firm, related to the local community and employees, were found to weaken the association between CVC investments and innovative performance. This study expands the understanding of existing research on CVC investments as a vehicle for learning and innovation. Focusing on the importance of relationship with ventures rather than the size of CVC investments, I empirically examined that the formation of CVC relationships with ventures is directly related to the short-term innovation of investing firms. Additionally, this study contributes to the CVC literature by including stakeholders in the current discussion in addition to investing firms and portfolio ventures. Finally, this study investigated how ESG issues, which are attracting attention as playing an important role in firm activities, are related to CVC investments.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.12 no.1
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• pp.1-8
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• 2007

Environment factors related to the distribution of organic matter in surface seawater and sediments were investigated to estimate main pollution sources and range of their influence in Gwangyang Bay. The main pollution sources for the factors that affect organic matter distribution could be divided into three main sources: fresh water runoffs from Seomjin and Dong River, Gwangyang-si domestic sewage, and Yosu Industrial Complex. Considering the characteristics in horizontal distributions of the environmental factors in water column, sediment, and water current regime, the influencing range of these main sources was likely to be divided into three areas within the bay as follows: Area I receiving lots of fresh water from Seomjin River, Area II receiving lots of domestic sewage from Gwangyang-si and fresh water of Dong River, Area III receiving lots of materials from Yosu Industrial Complex. Area I seems to be characterized as low salinity, high concentration of $NO_3-N,\;and\;SiO_2-Si$, Area II as low salinity, high concentration of $NO_3-N,\;NH_4-N,\;and\;SiO_2-Si$, and Area III as high water temperature, high concentration of $NH_4-N,\;and\;PO_4-P$ in water column, high concentration of $NH_4-N,\;PO_4-P,\;and\;SiO_2-Si$ in surface sediments.

• Journal of Sensor Science and Technology
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• v.33 no.1
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• pp.34-39
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• 2024

Energy harvesting technology that converts the wasted energy resources into electrical energy is emerging as a semipermanent power source for self-powered electronics and wireless low-power sensor systems. Among the various energy conversion techniques, flexible piezoelectric energy harvesters (f-PEHs), using materials with piezoelectric effects, have attracted significant interest because they can harvest a small mechanical energy into electrical signals without constraints of time and space in various environments. In this study, we used a flexible piezoelectric composite film fabricated by dispersing BaHf_xTi_(1-x)O₃ (x = 0, 0.01, 0.05, 0.1) piezoelectric powders inside a polymeric matrix to facilitate f-PEHs. The fabricated f-PEH with optimal Hf contents (x = 0.05) generated a maximum output voltage of 0.95 V and current signal of 130 nA with stable electrical/mechanical disabilities under periodically bending deformations. In addition, we demonstrated a cantilever-type f-PEH and investigated its potential as a sensor by characterizing the output performance under mechanical vibrations at various frequencies. This study provides the breakthrough for realizing self-powered energy harvesting and sensing systems by adopting the lead-free piezoelectric composites under vibrational environments.

• Journal of Plant Biotechnology
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• v.50
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• pp.45-55
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• 2023

The diploid Solanum cardiophyllum, a wild tuberbearing species from Mexico is one of the relatives to potato, S. tuberosum. It has been identified as a source of resistance to crucial pathogens and insects such as Phytophthora infestans, Potato virus Y, Colorado potato beetle, etc. and is widely used for potato breeding. However, the sexual hybridization between S. cardiophyllum and S. tuberosum is limited due to their incompatibility. Therefore, somatic hybridization can introduce beneficial traits from this wild species into the potato. After somatic hybridization, selecting fusion products using molecular markers is essential. In the current study, the chloroplast genome of S. cardiophyllum was sequenced by next-generation sequencing technology and compared with those of other Solanum species to develop S. cardiophyllum-specific markers. The total length of the S. cardiophyllum chloroplast genome was 155,570 bp and its size, gene content, order and orientation were similar to those of the other Solanum species. Phylogenic analysis with 32 other Solanaceae species revealed that S. cardiophyllum was expectedly grouped with other Solanum species and most closely located with S. bulbocastanum. Through detailed comparisons of the chloroplast genome sequences of eight Solanum species, we identified 13 SNPs specific to S. cardiophyllum. Further, four SNP-specific PCR markers were developed for discriminating S. cardiophyllum from other Solanum species. The results obtained in this study would help to explore the evolutionary aspects of Solanum species and accelerate breeding using S. cardiophyllum.

• Journal of The Korean Institute of Defense Technology
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• v.5 no.3
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• pp.8-17
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• 2023

The current weapon system is operated as a complex weapon system with various standards and protocols applied, so there is a risk of failure in smooth information exchange during combined and joint operations on the battlefield. The interoperability of weapon systems to carry out precise strikes on key targets through rapid situational judgment between weapon systems is a key element in the conduct of war. Since the Korean military went into service, there has been a need to change the configuration and improve performance of a large number of software and hardware, but there is no verification system for the impact on interoperability, and there are no related test tools and facilities. In addition, during combined and joint training, errors frequently occur during use after arbitrarily changing the detailed operation method and software of the weapon/power support system. Therefore, periodic verification of interoperability between weapon systems is necessary. To solve this problem, rather than having people schedule an evaluation period and conduct the evaluation once, AI should continuously evaluate the interoperability between weapons and power support systems 24 hours a day to advance warfighting capabilities. To solve these problems, To this end, preliminary research was conducted to improve defense interoperability capabilities by applying natural language processing techniques (①Word2Vec model, ②FastText model, ③Swivel model) (using published algorithms and source code). Based on the results of this experiment, we would like to present a methodology (automated evaluation of interoperability requirements evaluation / level measurement through natural language processing model) to implement an automated defense interoperability evaluation tool without relying on humans.