• Journal of Platform Technology
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• v.9 no.2
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• pp.26-37
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• 2021

E-mail is one of the important tools for communicating with people in everyday life. With COVID-19 (Coronavirus) increasing non-face-to-face activity, security incidents through e-mail such as spam, phishing, and ransomware are increasing. E-mail security incidents are increasing as social engineering attack using human psychology rather than arising from technological weaknesses that e-mails have. Security incidents using human psychology can be prevented and defended by improving security awareness. This study empirically studies the analysis of changes in response to malicious e-mail due to improved security awareness through malicious e-mail simulations on executives and employees of domestic and foreign company. In this study, the factors of security training, top-down security management, and security issue sharing are found to be effective in safely responding to malicious e-mail. This study presents a new study by conducting empirical analysis of theoretical research on security awareness in relation to malicious e-mail responses, and results obtained from simulations in a practical setting may help security work.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1457-1462
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• 2021

Untact order payment has become a new normal since the COVID-19. BLE beacon is a technology that supports low-power wireless communication within 70 meters without Bluetooth pairing and is specialized for indoor positioning. Therefore, it is suitable for building and providing O2O services beyond B2C and B2B services. However, beacons have a lower utilization rate because they have fewer platforms than wifi that support long-distance wireless communication. Therefore, this paper aims to provide more convenient non-face-to-face related services than before by designing and proposing an O2O service platform using BLE beacons. When scanning beacons, not only does it receive advertising data that beacons have, but it also ensures that the actual distance between the user's terminal and beacons is accurately calculated. Through accurate location, the O2O service platform will be able to provide users with store information, such as coupons and discounts, museum exhibits, and traffic information at the right time.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.2
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• pp.1-13
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• 2023

Purpose : Along with the rapid development of digital technology, the application of digital healthcare in the medical field is also increasing. According to many experts, increasing the amount of exercise and physical activity is a helpful way to prevent and manage physical problems in modern society. However, a lack of exercise, which is of the lifestyle of modern people, leads to the development of various diseases. This study aimed to examine the effects of digital exercise intervention using artificial intelligence (AI) on the physical abilities of adults whether digital exercise intervention can be a reliable and effective therapeutic option for musculoskeletal disorders in real-world clinical settings. Methods : In this study, exercise was conducted using a digital application to investigate the effects of an AI-based digital exercise intervention on the physical abilities of adults. A total of 13 adults were evaluated, and their physical abilities before and after the exercise intervention were compared. Hand-grip strength, functional leg muscle strength, dynamic balance, and quadriceps muscle strength were assessed. Exercise was performed using a digital application and in a non-face-to-face manner. AI identified the exercise status of each participant and adjusted the exercise difficulty level accordingly. The exercised daily for 4 weeks. Results : A total of 12 participants were analyzed for the final results. Significant improvements were observed in hand-grip strength, functional leg muscle strength (evaluated using the stand-up test), dynamic balance, and straight-gait ability (p<.05), indicating an increase in the overall muscular strength and physical function of the participants. Conclusions : Digital exercise intervention using AI is effective in improving physical abilities related to musculoskeletal function. It can be useful in clinical practice as an effective treatment option for patients with musculoskeletal disorders or muscle weakness.

• Journal of The Korean Association of Information Education
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• v.25 no.4
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• pp.621-632
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• 2021

This study is about development and application of a curriculum to implement physical computing education in an online environment for pre-service teachers. First, a 15-week software and physical computing curriculum was designed according to the ADDIE instructional design model. As a tool that can be used online, education was conducted on a program using various sensors using Pocket Code, an EPL based on a smartphone. As a result of the application of the program, Personal efficacy, Pedagogical knowledge, Technology teaching content knowledge, Result expectation, and Student belief were all significantly improved. In the software attitude part, Software interest and Software value part increased significantly, and the Perception of software engineers did not change. In general, in the case of physical computing, it is difficult to execute in an online environment because it involves a lot of manipulation activity. Through various studies that can continue education in a non-face-to-face environment or a blended environment in the post-corona era, it is hoped that it will be possible to provide a high-quality curriculum to pre-service teachers in charge of future education.

• Korean Journal of Remote Sensing
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• v.38 no.1
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• pp.73-82
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• 2022

Marine fisheries resources face major anthropogenic threat from unregulated fishing activities; thus require precise detection for protection through marine surveillance. Korea developed an efficient land-based small fishing vessel monitoring system using real-time V-Pass data. However, those data directly do not provide information on fishing activities, thus further efforts are necessary to differentiate their activity status. In Korea, especially in Busan, longlining is practiced by many small fishing vessels to catch several types of fishes that need to be identified for proper monitoring. Therefore, in this study we have improved the existing fishing status classification method by applying Hidden Markov Model (HMM) on V-Pass data in order to further classify their fishing status into three groups, viz. non-fishing, longlining and other types of fishing. Data from 206 fishing vessels at Busan on 05 February, 2021 were used for this purpose. Two tiered HMM was applied that first differentiates non-fishing status from the fishing status, and finally classifies that fishing status into longlining and other types of fishing. Data from 193 and 13 ships were used as training and test datasets, respectively. Using this model 90.45% accuracy in classifying into fishing and non-fishing status and 88.23% overall accuracy in classifying all into three types of fishing statuses were achieved. Thus, this method is recommended for monitoring the activities of small fishing vessels equipped with V-Pass, especially for detecting longlining.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.14-25
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• 2021

The purpose of this study is to explore what are the interactive factors of synchronous online education in university and identify the level of interaction. This study used mixed research method. As a result of the interaction level, it was recognized that face-to-face education could be more interactive than synchronous online education. Synchronous online education could have better interactive between instructor and learner, and among learners than asynchronous online education. Factors which influencing the interaction were as follows: small group activities and scaffolding, diversification of communication channels and integration of learner's question in learning content. Detrimental elements were distance felt between instructor and learners, low intimacy among learners, content-focused lecture, restrictions on non-verbal communication, unstable systems and misusing microphones. The necessary factors to promote interaction are planning interactive class activities, etc. Based on the results, it was to suggest what kinds of efforts are needed to make interaction more effective in terms of teaching and learning method & activity, tool & system, and environment.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1157-1166
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• 2022

With the advent of the non-face-to-face era, a new type of digital sexual crime with avatars is emerging on the Metaverse virtual reality platform. Due to the lack of clearly established in legal and regulatory systems, it is challenging to punish offenders and acquire digital proof for sexual crimes using these avatars. This research aims to suggest a service and technological solution is development platform that may assist crime prevention and the collection of digital evidence, with a particular emphasis on digital sex crimes that occur in the metaverse, a virtual reality realm. This study explores the reasons behind the difficulty of legal application in the metaverse and then determines the types of digital sex crimes that may occur in the metaverse. In addition, it is suggested what service components the metaverse should contain from the stage of construction and design, can be utilized what element of metaverse in order to prevent illegal activity of avatars.

• Journal of Genetic Medicine
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• v.19 no.1
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• pp.32-37
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• 2022

Mucopolysaccharidosis type VI (MPS VI) is an autosomal recessive lysosomal disorder caused by the deficiency of arylsulfatase B due to mutations in the ARSB gene. Here, we report the case of a Korean female with a novel variant of MPS VI. A Korean female aged 5 years and 8 months, who is the only child of a healthy non-consanguineous Korean couple, presented at our hospital for severe short stature. She had a medical history of umbilical hernia and recurrent otitis media. Her symptoms included snoring and mouth breathing. Subtle dysmorphic features, including mild coarse face, joint contracture, hepatomegaly, and limited range of joint motion, were identified. Radiography revealed deformities, suggesting skeletal dysplasia. Growth hormone (GH) provocation tests revealed complete GH deficiency. Targeted exome sequencing revealed compound heterozygous mutations in the ARSB genes c.512G>A (p.Gly171Asp; a pathogenic variant inherited from her father) and c.1157C>T (p.Ser386Phe; a novel variant inherited from her mother in familial genetic testing). Quantitative tests revealed increased urine glycosaminoglycan (GAG) levels and decreased enzyme activity of arylsulfatase B. While on enzyme replacement therapy and GH therapy, her height increased drastically; her coarse face, joint contracture, snoring, and obstructive sleep apnea improved; urine GAG decreased; and left ventricular mass index was remarkably decreased. We report a novel variant-c.1157C>T (p.Ser386Phe)-of the ARSB gene in a patient with MPS VI; these findings will expand our knowledge of its clinical spectrum and molecular mechanisms.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.9
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• pp.381-390
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• 2022

Influenced by a culture that prefers non-face-to-face activity during the COVID-19 pandemic, chatbot usage is accelerating. Chatbots have been used for various purposes, not only for customer service in businesses and social conversations for fun but also for mental health. Chatbots are a platform where users can easily talk about their depressed moods because anonymity is guaranteed. However, most relevant research has been on social media data, especially Twitter data, and few studies have analyzed the commercially used chatbots data. In this study, we identified the characteristics of depressive discourse in user-chatbot interaction data by analyzing the chats, including the word 'depress,' using the topic modeling algorithm and the text-mining technique. Moreover, we compared its characteristics with those of the depressive moods in the Twitter data. Finally, we draw several design guidelines and suggest avenues for future research based on the study findings.

• Journal of the Korean Society of Earth Science Education
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• v.13 no.3
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• pp.270-283
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• 2020

The purpose of the study is to investigate the perception of elementary pre-service teachers about convergence program after conducting 'Making shadow book using my creative story' activity. The program consists elementary pre-service teachers to creat their own stories and using them to make a "shadow book." The program was conducted on 52 elementary pre-service teachers for eight weeks. After the end of the program, they were examined for their perception of the convergence program with the Likert scale questions and essay questions. The analysis results of the Likert scale questions showed that they scored very high on the objectives, contents and methods of the program, and the satisfaction, necessity and willingness to re-participate were also high. In addition, the analysis results based on keywords of essay questions about how the program operates, and its advantages and improvements made it possible to categorize them into instructional content, convergence education, teaching competency, thinking ability, psychology, and emotional experience. Through this study, we could see that by experiencing the convergence program ran by cooperative professors of different majors, elementary pre-service teachers naturally recognized the meaning, importance and necessity of convergence education, understood the contents of related subjects easily, and improved teaching competency. But, they also mentioned various improvements due to the situation of non-face-to-face classes.