• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.22-30
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• 2022

In order to prevent chemical accidents caused by human error, a chemical accident prevention and response training program using advanced technology was developed. After designing a virtual process based on the previously built pilot plant, chemical accident response contents were developed. A part of the pilot facility was remodeled for content realization and a remote control function was given. In addition, a DCS program that can control facilities in a virtual environment was developed, and chemical process operator training (OTS) that can finally respond to virtual chemical accidents was developed in conjunction with AR. Through this, trainees can build driving skills by directly operating the device, and by responding to virtual chemical accidents, they can develop emergency response capabilities. If the next-generation OTS like this study is widely distributed in the chemical industry, it is expected to greatly contribute to the prevention of chemical accidents caused by human error.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.143-157
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• 2022

The aim of this study is to design Spudsville, an immersive game environment in Minecraft that can effectively help learners acquire the English language. To create a successful learning experience using Minecraft, the researchers adopted the Agile Model and the Design Thinking approach. The researchers first conducted an analysis through an extensive literature review in order to assess the learners' needs. Afterwards, they designed and developed a Minecraft world based on the data collected during the analysis phase. The researchers learned that implementing constructivist and behaviorist approaches has benefits, even though applying a cognitivist-learning model to Spudsville could have provided the researchers with more insight on how learner processes information. Making these adjustments could improve Spudsville's effectiveness and could potentially help the ways in which gamified learning aids with language acquisition.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.328-337
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• 2022

The importance of online marketing is emerging due to the prevalence of COVID-19. In order to respond to the changing business environment, we have collected ten years of sales data of SME bakery company that have experienced a decrease in sales due to the COVID-19. As a result of the analysis, we found that switching from offline markets to omnichannel B2B and B2C markets and taking 'small quantity batch production' to 'mass production in a small variety can improve management. This study presented online and offline marketing strategies through data analysis of small and medium-sized bakery companies, which have relatively insufficient digital capabilities compared to large companies, and could be a guideline for many SMEs.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.100-106
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• 2022

A longitudinal study refers to a research method based on longitudinal data repeatedly measured on the same object. Most of the longitudinal analysis methods are suitable for prediction or inference, and are often not suitable for use in exploratory study. In this study, an exploratory method to analyze longitudinal data is presented, which is to find the longitudinal trajectory after determining the best number of clusters by clustering longitudinal data using self-organizing map technique. The proposed methodology was applied to the longitudinal data of the Employment Information Service, and a total of 2,610 samples were analyzed. As a result of applying the methodology to the actual data applied, time-series clustering results were obtained for each panel. This indicates that it is more effective to cluster longitudinal data in advance and perform multilevel longitudinal analysis.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.67-76
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• 2022

The purpose of this study was to identify the effects of high fidelity simulation-based education for cardiac arrest emergency nursing applied to nursing students on communication self-efficacy, communication competence, and educational satisfaction. For this study a nonequivalent control group non-synchronized post-test design was used. Participants were 42 nursing students who attended in one university and completed the self-report questionnaire. Data were analyzed through frequency, percentage, mean, standard deviation, x² test, and independent t-test using the SPSS 22.0 program. As a result, communication self-efficacy (t=2.87, p=.007), communication competence (t=2.96, p=.005) and educational satisfaction (t=4.75, p=<.001) were significantly higher than in the control group after high fidelity simulation-based education. High fidelity simulation-based education for cardiac arrest emergency nursing was able to improve communication self-efficacy, communication competence, and educational satisfaction for nursing students.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.1-8
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• 2022

With the development of communication infrastructure, the number of network equipment owned by one person is gradually increasing. General-purpose devices such as smartphones can implement theft/loss prevention function by implementing S/W. However, other small devices lack practicality such as long-distance communication problems due to standard communication technology specifications or H/W limitations, and lack of functions(authentication and security). This study combines the Lora communication protocol in the LPWA standard environment and the blockchain technology. Anti-theft and security functions were added to the protocol, and the PBFT consensus algorithm was applied to build a blockchain network. As a result of the test, the effectiveness of safety(authentication and trust network) and performance(blockchain processing performance) were confirmed. This study aims to contribute to the future development of portable or small device anti-theft products as a 4th industrial convergence research.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.8-13
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• 2021

The purpose of this study is to propose a throughput costing as a performance measurement tool to measure cost indicators, which are one of the indicators for evaluating organizational performance in a smart factory manufacturing environment. An empirical study by questionnaire was conducted, and 60 experts were surveyed to verify the hypothesis. As a result of the study, it was concluded that the information provided based on throughput costing is helpful in cost measurement and in evaluating organizational performance efficiency and effectiveness, and it was confirmed that this method has usefulness to support the planning and control process. It is proposed that the use of throughput costing by constraint theory, which can maximize throughput and optimize inventory levels in the manufacturing process, can find solutions to bottlenecks affecting the efficiency and effectiveness of organizational performance.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.158-167
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• 2021

This work aims to explore personal coping and insight experience in mental disorder symptoms from the perspective of the parties in order to lay an empirical basis for the transition of the mental health service paradigm from a medical model to a human rights model. For this purpose, in-depth interviews with 8 persons with mental disorders were conducted and a model of practice was suggested through analysis using the grounded theory. As a result, 11 categories, 23 sub-categories and 132 concepts were identified. According to the analysis of this study, people with mental disorders have changed their perspective on symptoms through in-depth insight into their identities and symptoms as mental disorders, and discovered their own autonomous ways to cope with symptoms, managing their daily lives. Therefore, in developing a Korean alternative model for people with mental disorders, it is necessary to prepare conditions to find their own countermeasures through opportunities for insight.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.17-22
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• 2021

It is difficult for the hearing impaired to use the counseling service without sign language interpretation. Due to the shortage of sign language interpreters, it takes a lot of time to connect to sign language interpreters, or there are many cases where the connection is not available. Therefore, in this paper, we propose a system that captures sign language as an image using OpenCV and CNN (Convolutional Neural Network), recognizes sign language motion, and converts the meaning of sign language into textual data and provides it to users. The counselor can conduct counseling by reading the stored sign language translation counseling contents. Consultation is possible without a professional sign language interpreter, reducing the burden of waiting for a sign language interpreter. If the proposed system is applied to counseling services for the hearing impaired, it is expected to improve the effectiveness of counseling and promote academic research on counseling for the hearing impaired in the future.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.23-29
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• 2021

Recently, a situation in which a specific content service is impossible worldwide has occurred due to a failure of the platform service and a significant social and economic problem has been caused in the global service market. In order to secure the stability of platform services, intelligent platform operation management is required. In this study, big data flow management(BDFM) and implementation method were proposed to quickly detect to abnormal service status in the platform operation environment. As a result of analyzing, BDFM technique improved the characteristics of abnormal failure detection by more than 30% compared to the traditional NMS. The big data flow management method has the advantage of being able to quickly detect platform system failures and abnormal service conditions, and it is expected that when connected with AI-based technology, platform management is performed intelligently and the ability to prevent and preserve failures can be greatly improved.