• Korean Journal of Veterinary Service
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• v.45 no.4
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• pp.253-262
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• 2022

The applications of artificial intelligence (AI) can provide useful solutions to animal infectious diseases and their impact on humans. The advent of AI learning algorithms and recognition technologies is especially advantageous in applied studies, including the detection, analysis, impact assessment, simulation, and prediction of environmental impacts on malignant animal epidemics. To this end, this study specifically focused on environmental pollution and animal diseases. While the number of related studies is rapidly increasing, the research trends, evolution, and collaboration in this field are not yet well-established. We analyzed the bibliographic data of 1191 articles on AI applications to environmental pollution and animal diseases during the period of 2000~2019; these articles were collected from the Web of Science (WoS). The results revealed that PR China and the United States are the leaders in research production, impact, and collaboration. Finally, we provided research directions and practical implications for the incorporation of AI applications to address environmental impacts on animal diseases.

• Journal of Korean Society of Disaster and Security
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• v.16 no.1
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• pp.49-60
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• 2023

After the 10.29 Itaewon disaster, interests in the crowd crush injury increased, but it is pointed out that the academic and practical basis related to crowd crush is still weak in Korea. Therefore, in this study, terms and concepts related to crowd crush were investigated and proposed, and representative cases of crowd crush events were investigated and summarized. Approaches based on representative cases were investigated, and among them, video analysis, simulation, questionnaire survey and interview methods were derived as an essential approach methods. Through this research, it is expected that standardization of Korean terminology, concept establishment, evaluation, and systematization of approach methods of crowd crush can be accomplished.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.1-19
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• 2023

This study is a study on the effect of technical readiness factors on counselors' intention to use when applying AICC. AICC counselors experience improved customer service and emotional stability by receiving various monitor notification window services based on artificial intelligence algorithms such as customer counseling history, prohibited word control system, and customized counseling system. Accordingly, this study tried to verify using factors derived from technology readiness theory and technology acceptance theory among the factors affecting the intention to continue using AICC provided to counselors. To verify the research hypothesis, the causal relationship between variables such as Optimism, Innovativeness, Discomfort, Insecurity, and Technology Acceptance Theory, such as Team Support, Ease of Usage, and Innovation Resistance, was verified. As a result of empirical analysis, first, it was verified that Optimism has a positive (+) effect on Team Support and Ease of Usage, and Discomfort and Insecurity have a negative (-) effect on Ease of Usage and Team Support. Second, it was confirmed that Team Support and Ease of Usage had a positive effect on the Intention to use AICC. Based on the above empirical analysis results, the concepts of Technical Readiness were clearly proved, and in practical terms, AICC helped inquiry, quality evaluation, recording, and management of counseling history, ultimately increased corporate work efficiency.

• Journal of Distribution Science
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• v.21 no.9
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• pp.93-102
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• 2023

Purpose: This study attempts to analyze the current status of the railway logistics business and to seek ways to improve it by using the business model as an analytical framework. It was intended to reflect practical implications that could be applied to the field, by dealing with issues at the industrial site related to each component in the business model. Research design, data and methodology: This study was conducted through literature review and field research. We analyzed academic papers and industrial reports on the development of the railway logistics industry and interviewed various stakeholders in the railway logistics industry. Results: This study determined the factors that could be eliminated, raised, reduced, or created from the customer and product perspective, infrastructure management perspective, and financial perspective. Conclusions: The growth of existing business can be achieved by lowering service prices, improving service quality, and securing large-scale transportation capacity. The additional transportation of high value goods and cold chain commodities will be promising business opportunities. Existing services can be provided to new customers (large pre-shippers, forwarding customers, etc.) in order to increase the size of sales Urban delivery services and comprehensive logistics services based on complex logistics centers may open an avenue for new market. A more timetable and track capacity need to be assigned to logistics, which significantly improve the flexibility and the competency of railway logistics.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.191-202
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• 2023

This study aims to propose a framework for evaluating the impact of artificial intelligence (AI) services, based on the concept of AI service impact. It also suggests a model for evaluating this impact and identifies relevant factors and measurement approaches for each item of the model. The study classifies the impact of AI services into five categories: ethics, safety and reliability, compliance, user rights, and environmental friendliness. It discusses these five categories from a broad perspective and provides 21 detailed factors for evaluating each category. In terms of ethics, the study introduces three additional factors-accessibility, openness, and fairness-to the ten items initially developed by KISDI. In the safety and reliability category, the study excludes factors such as dependability, policy, compliance, and awareness improvement as they can be better addressed from a technical perspective. The compliance category includes factors such as human rights protection, privacy protection, non-infringement, publicness, accountability, safety, transparency, policy compliance, and explainability.For the user rights category, the study excludes factors such as publicness, data management, policy compliance, awareness improvement, recoverability, openness, and accuracy. The environmental friendliness category encompasses diversity, publicness, dependability, transparency, awareness improvement, recoverability, and openness.This study lays the foundation for further related research and contributes to the establishment of relevant policies by establishing a model for evaluating the impact of AI services. Future research is required to assess the validity of the developed indicators and provide specific evaluation items for practical use, based on expert evaluations.

• Journal of Korean society of Dental Hygiene
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• v.23 no.4
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• pp.311-321
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• 2023

Objectives: The purpose of this study was conducted an in-depth analysis of the subjective oral status and oral care needs according and problems of the elderly. Methods: A phenomenological research method was from April 13 to 30, 2023, 15 elderly people aged 65 or older in Gwangju and Jeolla regions were surveyed. Results: He was experiencing oral changes such as difficulty chewing, dry mouth and indigestion, sensitive teeth, smell of fear and feeling sensitive when eating sweet or cold food. They were burdened by the financial difficulties of dental treatment costs, the inconvenience caused by frequent visits, and the pain experienced during treatment. Realized the need for necessity of oral care education, and their confidence was restored through dental treatment. It was necessary the image recovery of dentistry, and they wanted to maintain oral health through the expansion of treatment health insurance. Conclusions: Consequently, it is necessary to develop a practical oral health management program for the elderly based on social communication regarding of the elderly and to expand health insurance coverage.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.3
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• pp.1-10
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• 2023

Purpose - Beauty service employees who perform emotional labor are becoming an important factor in their duties to be performed at customer contact with the emotional expression norms set and required by organizations and companies. There are health problems for beauty workers due to working environments such as physical, chemical, and social factors. Accordingly, this study presents practical ways to protect the health of beauty workers. Research design, data, and methodology - This review study was conducted by searching PubMed, Google Scholar, Riss, Scopus, and Research Gate. Beauty Health Care, Occupational Diseases, Beauty Industry, Beauty Employees, Work-Life Vallance (WLV). I referred to the keywords such as that. A total of 471 papers were searched, of which 46 were finally included in this study on the PRISMA flowchart. Result: The beauty service industry can be classified as a job with high job stress among the beauty industries, and establishing appropriate measures to effectively help beauty industry workers proves to be an important strategy for maintaining physically and mentally healthy lives. Conclusion - Active research is needed to create a healthy environment with sustainable well-being by identifying physical and mental outbreaks according to the degree of awareness through various causes of occupational diseases such as gender and environment of beauty industry workers.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.3
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• pp.27-35
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• 2023

Purpose - The present study bridges a significant gap in the literature by investigating the complex relationship between job crafting and protean career attitudes. It has been demonstrated that job crafting, which entails the proactive redesign of work roles, responsibilities, and relationships, empowers employees, and elevates. Research design, data, and methodology - This study employed a tailored search approach with specific terms linked to job crafting and protean career attitudes to ensure a thorough and focused analysis. The keywords include "Job crafting," "protean career attitudes," "career development," and related terms. This strategy uses an organized method to identify, screen, and choose appropriate studies. Result: This study synthesizes prior studies and identifies four critical links between the development of jobs and protean career attitudes. To begin with, task crafting, which entails job requirements and scope modifications, leads to protean career attitudes as employees match their roles to their skills and passions. Second, rational crafting, which is adjusting interactions with coworkers and superiors encourages flexible career attitudes. Conclusion - This study insists that organizations must consider the essential practical ramifications. Employers may improve employee growth, engagement, and talent retention by encouraging job customization, recognizing protean workers, cultivating a protean culture, investing in ongoing learning.

• Journal of Practical Agriculture & Fisheries Research
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• v.16 no.1
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• pp.3-16
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• 2014

The purposes of this study is to draw up some measures for improving the farmer's satisfaction for certificate system of environment-friendly agricultural products. The data was collected from a survey in 2013. The results of survey for farmers producing environment-friendly agricultural products are as follows. First, almost 60% of the respondents are certified by the private certificate bodies. Second, the main factors affecting farmers' choice of the authority are their trust (49%), geographical adjacency (22.1%), and other farmers' recommendation (7.7%), etc. Third, the index of farmers satisfaction level regarding the certification bodies and the examiner is estimated as 4 out of 5 marks followed by ex post facto management (3.8), application process (3.77), application document (3.66), etc. Lastly, farmers want to make improvement on the complicated application process most (37.9%), followed by expensive application fee (25.2%) and excessive application documents (17.5%). The results can be used to improve the supervision system of certification bodies of farmers, who produce environment-friendly agricultural products.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.597-599
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• 2022

When IoT device performs on-device AI, the device is required to use various AI models selectively according to target service and surrounding environment. Also, AI model can be updated by additional training such as federated learning or adapting the improved technique. Hence, for successful on-device AI, IoT device should acquire various AI models selectively or update previous AI model to new one. In this paper, we propose AI model repository to tackle this issue. The repository supports AI model registration, searching, management, and deployment along with dashboard for practical usage. We implemented it using Node.js and Vue.js to verify it works well.