• Convergence Security Journal
• /
• v.21 no.2
• /
• pp.67-79
• /
• 2021

Lessons Learned(LL) is a military term defined as all activities that promote future development by finding problems and need improvement in education and reality in the field of warfare development. In this paper, we focus on presenting actual examples and applying AI analysis inference techniques to solve revealed problems in promoting LL activities, such as long-term analysis, budget problems, and necessary expertise. AI legal advice services using cognitive computing-related technologies that have already been practical and in use, were judged to be the best examples to solve the problems of LL. This paper presents intelligent LL inference techniques, which utilize AI. To this end, we want to explore theoretical backgrounds such as LL analysis definitions and examples, evolution of AI into Machine Learning, cognitive computing, and apply it to new technologies in the defense sector using the newly proposed L²-OODA ensemble algorithm to contribute to implementing existing power improvement and optimization.

• Journal of Convergence for Information Technology
• /
• v.11 no.5
• /
• pp.259-266
• /
• 2021

This paper sought to help north Korean women understand their lives and seek to integrate the in-house between North and South Korea by organizing the overall reality of north Korea's fashionable hairstyles and beauty industry. The research method looks at the appearance management activities of North Koreans in north Korean media, media outlets, and testimonies of north Koreans who have been on the outstay since Kim Jong-un's ruling, among other things, and analyzed their hair activities. C. Studies have shown that some improvements have been made since the Kim Regime through the smuggling of foreign goods by yusists. In addition, it was confirmed that beauty education is being systematically edied out through a beauty training institute in North Korea, and that it has changed from a fixed salary system to an ability-based allowance. This study shows a limitation that north Korea has failed to study. It is believed to be a boon to future research on North Korean hair.

• Journal of Convergence for Information Technology
• /
• v.11 no.3
• /
• pp.236-249
• /
• 2021

Due to the spread of AR/VR headset, AR/VR contents market gains huge interests. However, various obstacles such as discomfort that restricts usability and absence of standard to evaluate usability block the growth of AR/VR contents industry. To overcome these problems, this study tries to develop an evaluation scheme for the usability of R/VR contents and a prototype system. The proposed evaluation system divides usability related items into safety and convenience items and performs evaluation by item through automatic and experience evaluation by system and experts/experience teams according to characteristics, and comprehensively evaluates the usability of AR/VR content. In this study, a detailed process fo usability evaluation and the prototype system are developed to verify the evaluation scheme. Developed scheme is expected to help the AR/VR content industry overcome the usability issues, and develop high-quality AR/VR content.

• Journal of the Institute of Convergence Signal Processing
• /
• v.21 no.2
• /
• pp.67-72
• /
• 2020

AR service using the client-server method and existing physical markers(eg, OR Codes, etc.) causes a delay in the playback time of the contents because the contents download is executed after the marker recognition. In the case of the one-time installation method rather than the client-server method, proactive download of high-capacity contents for playback may cause an inefficiency of the storage space of the device(eg, smartphone, etc.). Therefore, in AR contents playback based on beacon's RSSI to secure the efficiency of the playback device storage space and to quickly play AR contents. The technique for high-speed playback in this study can be applied to various fields such as MICE exhibition using beacon signal.

• Journal of Korea Multimedia Society
• /
• v.24 no.8
• /
• pp.1044-1058
• /
• 2021

Tempered electronic contents have multiplied in last few years, thanks to the emergence of sophisticated artificial intelligence(AI) algorithms. Deepfakes (fake footage, photos, speech, and videos) can be a frightening and destructive phenomenon that has the capacity to distort the facts and hamper reputation by presenting a fake reality. Evidence of ownership or authentication of digital material is crucial for combating the fabricated content influx we are facing today. Current solutions lack the capacity to track digital media's history and provenance. Due to the rise of misrepresentation created by technologies like deepfake, detection algorithms are required to verify the integrity of digital content. Many real-world scenarios have been claimed to benefit from blockchain's authentication capabilities. Despite the scattered efforts surrounding such remedies, relatively little research has been undertaken to discover where blockchain technology can be used to tackle the deepfake problem. Latest blockchain based innovations such as Smart Contract, Hyperledger fabric can play a vital role against the manipulation of digital content. The goal of this paper is to summarize and discuss the ongoing researches related to blockchain's capabilities to protect digital content authentication. We have also suggested a blockchain (smart contract) dependent framework that can keep the data integrity of original content and thus prevent deepfake. This study also aims at discussing how blockchain technology can be used more effectively in deepfake prevention as well as highlight the current state of deepfake video detection research, including the generating process, various detection algorithms, and existing benchmarks.

• Journal of Convergence for Information Technology
• /
• v.12 no.1
• /
• pp.22-30
• /
• 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
• /
• v.12 no.4
• /
• pp.278-285
• /
• 2022

This study presence in VR advertising into three types presence. Further, through an experiment, the study empirically verifies the kind of recalled information depending on the flow which forms users' attitudes towards the content. The experiment was conducted with a factor design between 3X2 subjects. Hyundai Motor's Ioniq VR video was conducted, and a questionnaire of 143 subjects was used for the study. The results revealed that positive attitudes were formed towards the advertisement used in the experiment when the level of emotional presence was the highest. In addition, higher flow levels established positive attitudes towards the advertisement. and Cognitive presence's effects on memory, ARM such as product-attribute information was found to increase when the flow level is high; however, GRM such as overall product evaluation was found to increase when the flow level is low.

• Journal of the Korea Convergence Society
• /
• v.12 no.5
• /
• pp.291-301
• /
• 2021

The purposes of this paper were to provide the basic segments of qualitative research to assist the understanding of qualitative research and to provide implications of indicators (i.e., criteria) to determine the rigor of the qualitative research in the area of Adapted Physical Education (APE). This paper was divided into five sub-categories to facilitate understanding the qualitative research, which were (a) the epistemological stances, (b) the data collection methods (c) the data analysis (d) the trustworthiness and (e) the implications of Adapted Physical Activity Taxonomy (APAT) in APE. Qualitative researchers deliver their understanding of human experience and knowledge by means of text rather than number so their explanations and understanding tend be subjective and distinct from otherwise interpretaotherwise (Crotty, 1998; Pitney& Parker, 2009). Examining the rigor of qualitative research is therefore concerned due to the complexity of understanding of reality (Goodwin 2020; Zitomer & Goodwin, 2014). In the meantime the roles of qualitative research have been highlighted in educational research including the area of APE because qualitative research enables researchers to examine different voices of school members (e.g., students with and without disabilities parents teachers Goodwin, 2020; Hodge et al., 2019; Zitomer & Goodwin, 2014).

• Journal of the Korea Convergence Society
• /
• v.13 no.5
• /
• pp.267-278
• /
• 2022

This paper was intended to examine the function of emotion that affects the accuracy of statements in the context of eyewitness testimony. The main emotion theories and concepts introduced in previous studies examining the relation between testimony accuracy and negative emotions were examined based on the characteristics of the research method. The results were presented in the order of emotion definition, emotion inducing method, and emotion measurement method. Specifically, the definition of emotion was described based on studies on negative emotions, arousal, stress, and mood. The emotion inducing method was mainly described based on images, virtual reality, and staged events designed by researchers, which have been mainly used in laboratories. Emotion measurement methods were described with respect to the self-report, behavioral checklist, and psychophysiology. In addition, the emotional approach for objective and scientific repeated verification, the importance of effective experimental design and appropriate scientific memory test, and the need for individual difference control were discussed. This paper reinterprets the contradictions shown by previous research by systematically structuring the function of emotion that affects the accuracy of testimony. It was meaningful to provide a frame for comparative analysis of related studies. Ultimately, it is expected that such knowledge will be used as basic documents for judging the reliability of eyewitness testimony in a legal context.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.17 no.6
• /
• pp.1207-1212
• /
• 2022

Realistic media, the next-generation media technology in the era of the 4th industrial revolution, is becoming an issue as a technology to experience through an environment that optimizes user experience, especially! It is rapidly developing into the health and healthcare convergence and complex fields. Realistic media technologies and services are being adopted to solve the problems of the increase in chronic diseases due to the increase in the elderly population and the lack of infrastructure and professional manpower in the fields of cognitive training and rehabilitation. Therefore, in this study, a cognitive training system was designed and implemented for the purpose of improving cognitive ability and daily life activity in subjects with mild cognitive impairment (MCI) who require cognitive rehabilitation. In the future, an integrated service platform with interactive communication and immediate feedback as an intelligent cognitive rehabilitation integrated platform based on AI and BigData is left as a research project.