• International Journal of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.122-128
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• 2022

Minimization of human casualties in disaster situations is of paramount importance. In particular, if a marine disaster occurs, it can be directly connected to human casualties, so prompt action is needed. In the event of a marine disaster, the route and location of movement should be identified and life tubes should be used to float on the water. This paper designs and proposes an emergency IoT notification system that can quickly rescue drowning people. The maritime emergency IoT notification system consists of four main types. First, an emergency IoT device that detects the expansion of the life tube and delivers location and situation information to the emergency IoT notification server. Second, an emergency IoT web server that manages emergency information and provides notification. Third, a database server that stores and manages emergency IoT notification information. And finally, an emergency notification app that can receive and respond to emergency notification information. The emergency IoT device consists of a TPMS(Tube Pressure Monitoring System) device that checks the pressure value of the TPMS in real time and sends it to the IoT device, and an IoT device that sends the rescuer's voice information and emergency information to the emergency IoT server. Emergency information is delivered using the MQTT(Message Queuing Telemetry Transport) protocol, and voice information is delivered to the IoT server as HTTP FormData.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.33-42
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• 2022

One of the most pressing socioeconomic problems confronting humanity on a worldwide scale is food security, particularly in light of the expanding population and declining land productivity. These causes have increased the number of people in the world who are at risk of starving and have caused the natural ecosystems to degrade at previously unheard-of speeds. Happily, the Internet of Things (IoT) development provides a glimmer of light for those worried about food security through smart agriculture-a development that is particularly relevant to automating food production operations in order to reduce labor expenses. When compared to conventional farming techniques, smart agriculture has the benefit of maximizing resource use through precise chemical input application and regulation of environmental factors like temperature and humidity. Farmers may make data-driven choices about the possibility of insect invasion, natural disasters, anticipated yields, and even prospective market shifts with the use of smart farming tools. The technical foundation of smart agriculture serves as a potential response to worries about food security. It is made up of wireless sensor networks and integrated cloud computing modules inside IoT.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.48 no.3
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• pp.133-148
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• 2022

Treatment of mandibular coronoid process hyperplasia (MCPH) has been described and explored in the literature. This systematic review aims to provide a comprehensive overview of the surgical and non-surgical treatment options for MCPH in pediatric and adult populations. Three databases were searched for treatment of MCPH patients (MEDLINE, Embase, and Web of Science). Two reviewers selected case reports and case series based on titles and abstracts. Finally, 55 studies reporting a total of 127 cases were included for qualitative synthesis and data extraction. The mean age at symptom onset was 15.6 years, while the mean age at diagnosis was 23.5 years. Of the included cases, 83.7% were male, and the condition was bilateral in more than 81% of the cases. Coronoidectomy was performed in 82.7% of the included cases, while coronoidotomy was performed in 3.9% of the cases. In 85.0% of the surgically treated cases, the approach was intraoral. The mean maximal intraoperative mouth opening was 38.1 mm compared with 16.5 mm at diagnosis. The mean maximal postoperative mouth opening was 35.3 mm, and the mean follow-up period was 16.3 months. Maximum mouth opening was achieved intraoperatively, and non-surgical treatment after surgery aims to reduce the risk of relapse. Additional research with a higher level of evidence is necessary to confirm these findings.

• Fashion & Textile Research Journal
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• v.24 no.4
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• pp.357-371
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• 2022

With the expansion of the vegan fashion industry and increasing consumer interest in vegan goods, the first inaugural Vegan Fashion Week was held in LA in 2019. However, there are no studies examining the sustainability of vegan fashion brands; this study underlines the necessity to close this research gap. This study aimed to ascertain how these issues are handled by vegan fashion brands. Using the "sustainable criterion of fashion brands," we investigated the companies that participated in Vegan Fashion Week. This study analyzed the featured brands, conducted case studies, and examined each brand's sustainability strategies and procedures. Press releases, news articles, official websites, and web magazines served as raw data for this study. Analyses of individual networks were performed and brands' approaches to veganism and sustainability were evaluated; eco-friendly material, fair trade, local production, and vegan inspiration were among these techniques. Every brand had put at least one of these requirements into practice for their business, with vegan inspiration being the most popular approach. Additionally, it was discovered that vegan fashion brands deliberately employed vegan messaging that aligns with their corporate values. After its initial launch, VFW continues to advance the discourse on vegan fashion both within the industry and with the general public. The study's implications include the analysis of vegan fashion brands' ethical manufacturing, environmental practices, and overall sustainability.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.45-49
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• 2001

Korean government and companies have given a lot of their efforts to exchange electronic documents between themselves and their partners. As the results of them. Korean EDI standards were made by Korean EDIFACT Committee and the standards have been used by companies and governmental organization in Korea. However, Korean export customs clearance EDI system is based on VAN(Value Added Network) and one VAN company ha monopolistic right to relay EDI documents to Korean Customs Service. Therefor is leads to a lot of problems such as inconvenient software, expensive transmission fee and the difficulty of connection with the in-house systems of user companies. To solve these problems, a few good solutions and systems have been suggested and one of them is the Internet EDI. we will suggest a new export customs clearance EDI system running on the Web. This system is basically an Internet EDI system, but we have developed this system using XML instead of HTML, XML is a new markup language with merit such as isolating data from style of documents. This system consists of 7 modules, schema/style/template management, XML/EDI document management, XML/EDI transformation, EDI transmission, certification management and log management. Also this system can be used with other traditional EDI systems that have UN/EDIFACT standards. We will discuss the advantages and disadvantages of XML/EDI system for customs clearance. The development of this system will be a leading study for XML/EDI standards in export clearance EDI system.

• Structural Monitoring and Maintenance
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• v.9 no.4
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• pp.337-357
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• 2022

The objective of this study is to present a data-driven machine learning (ML) framework for predicting ultimate shear strength and failure modes of reinforced concrete ledge beams. Experimental tests were collected on these beams with different loading, geometric and material properties. The database was analyzed using different ML algorithms including decision trees, discriminant analysis, support vector machine, logistic regression, nearest neighbors, naïve bayes, ensemble and artificial neural networks to identify the governing and critical parameters of reinforced concrete ledge beams. The results showed that ML framework can effectively identify the failure mode of these beams either web shear failure, flexural failure or ledge failure. ML framework can also derive equations for predicting the ultimate shear strength for each failure mode. A comparison of the ultimate shear strength of ledge failure was conducted between the experimental results and the results from the proposed equations and the design equations used by international codes. These comparisons indicated that the proposed ML equations predict the ultimate shear strength of reinforced concrete ledge beams better than the design equations of AASHTO LRFD-2020 or PCI-2020.

• 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 Environmental Health Sciences
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• v.49 no.4
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• pp.201-209
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• 2023

Background: To describe domain knowledge consistently and precisely, the establishment of a controlled vocabulary, a so-called ontology, is essential. Internationally, the plant ontology (PO) in the ecology field has been developed for the anatomy and developmental stages of plants in English, Spanish, and Japanese, but there is no Korean version of the PO due to a lack of knowledge on standardization for Korean plants. Objectives: We aimed to establish a Korean plant ontology with core PO architectures. Methods: The latest ontology web language (OWL)-formatted raw version of the PO was collected from the PO consortium site. A formal workflow process and OWL file-handing tools for efficient Korean content development were conducted and executed. Results: The macro- and micro-perspective frameworks of the PO were presented by analyzing the upper model and the internal OWL-leveled physical structure, respectively. We developed and validated Korean knowledge content for a total of 1,957 classes included in the PO and transplanted them into an ontology modeling system. Conclusions: A Korean plant ontology was established for international harmonization through improved compatibility and data exchangeability with multilingual environmental and ecological knowledge bases.

• The Journal of Industrial Distribution & Business
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• v.14 no.4
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• pp.23-31
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• 2023

Purpose: Gas firms often fall victim to disregarding the importance of sensitivity, thus leading to many unprecedented repercussions. To ensure that gas firms fully contribute to sustainability and ethical standards, environmental Social Governance (ESG) has been identified as the ideal framework. This study aims to investigate the impact of ESG management for improving gas firm performance. Research design, data and methodology: The prior qualitative literature analysis was to figure out adequate past research for the topic based on the major portal web databased, such as 'Google Scholar' and 'Scopus' to make sure resources' credibility. Results: Gas firms are among the pertinent organizations vis-à-vis environmental destruction issues. Gas firms emit dangerous gases such as ethane, carbon dioxide and methane that are dangerous for the people and the environment. Thus, many pro-environmental conservation stakeholders have had rallying calls for such gas firms to mitigate environmental pollution intentionally. Conclusions: This study may be used to human resources in improving employee results elsewhere. Besides, it can be of the essence in improving the relationship between such firms and society. Therefore, the study findings are of greater significance and implications to multiple parties, users and stakeholders regarding the research topic and beyond the current scope of the study.

• Journal of Korean society of Dental Hygiene
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• v.23 no.1
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• pp.83-89
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• 2023

Objectives: This study aimed to examine the relationship between COVID-19-related depressive symptoms and oral health among Korean adolescents. Methods: Data from the 17th Korea Youth Risk Behavior Web-based Survey were used and analyzed by the chi-squared test, and multiple logistic regression analysis was performed using SPSS 21.0. The final study population comprised 54,835 individuals. Results: The rates of toothache, gingival bleeding, tooth fracture, and tooth sensitivity were 21.2, 19.1, 8.7, and 30.6%, respectively. The rates of equal, increased, and decreased COVID-19-related depressive symptoms were 53.4, 36.9, and 9.7%, respectively. The rates of toothache, gingival bleeding, and tooth sensitivity were significantly higher (49.0, 48.3, and 46.3%, respectively) in the increased depressive symptom group than that in the decreased depressive symptom group (7.7, 8.1, and 7.7%, respectively). After adjusting for gender, school grade, school record, household economic status, tooth brushing frequency, smoking habit, and alcohol consumption, the risks of toothache, gingival bleeding, and tooth sensitivity in the increased depressive symptom group were symptom group were 1.64 (95% CI: 1.51-1.78), 1.55 (95% CI: 1.43-1.68), and 1.77 (95% CI: 1.65-1.89), respectively. Conclusions: There was a significant increase in oral symptoms in the group with increased depressive symptoms.