• Journal of Industrial Convergence
• /
• v.20 no.11
• /
• pp.57-63
• /
• 2022

If ECU data, which is responsible for collecting and processing data such as sensors and signals of automobiles, is manipulated by an attack, it can cause damage to the driver. In this paper, we propose a system that verifies the integrity of automotive ECU data using blockchain. Since the car and the server encrypt data using the session key to transmit and receive data, reliability is ensured in the communication process. The server verifies the integrity of the transmitted data using a hash function, and if there is no problem in the data, it is stored in the blockchain and off-chain distributed storage. The ECU data hash value is stored in the blockchain and cannot be tampered with, and the original ECU data is stored in a distributed storage. Using the verification system, users can verify attacks and tampering with ECU data, and malicious users can access ECU data and perform integrity verification when data is tampered with. It can be used according to the user's needs in situations such as insurance, car repair, trading and sales. For future research, it is necessary to establish an efficient system for real-time data integrity verification.

• Journal of Information Technology Applications and Management
• /
• v.30 no.2
• /
• pp.45-57
• /
• 2023

Efforts to build metaverse platform services and expand profit structure are developing in a more realistic direction. The metaverse, which has been centered on 'creation and economy' and 'discovery', will evolve into an 'experience' metaverse, creating tangible business effects where satisfaction with the user experience leads directly to purchase. In this paper, the condition of the avatar used as a medium of economic activity between the metaverse platformer and the user and the business utilization plan were sought. In addition, a new 'metaverse business model' was proposed based on 'experience, discovery, creation and economy', and in particular, it was intended to lay the foundation for the experience metaverse to further develop in the form of 'business experience'. In addition, a survey was conducted on the 'application of metaverse service and avatar' targeting the MZ generation, the main customer base of the current metaverse service. In order to provide a service that satisfies the user, it was concluded that the appearance of the avatar needs to be changed according to the purpose and function. Accordingly, we propose an 'selective switch mode' that can change the avatar's appearance at the desired timing according to the 'experience' and 'purchase purpose' of each metaverse service area. In addition, by strategically utilizing the 'Digilog' psychology, we believe that it will be possible to promote the influx of new users while increasing the loyalty of existing users to the platform. Through the establishment of 'avatar purchase system' by 'selective switch mode' and 'avatar decorating system' by 'digilog' strategy, the experience metaverse, which has been focused on 'digital twin experience' so far, is As it develops into 'business experience', it is expected that the user experience can be further satisfied.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.33 no.4
• /
• pp.647-659
• /
• 2023

As digital evidence becomes more important in criminal investigations, disputes are increasing in court. As media diversifies and the scope of analysis expands, the level of expertise in digital forensics is also increasing. However, no competency model has been developed to define the capabilities of digital evidence examiners or to judge their expertise. There have been some studies that have derived the capabilities necessary for digital evidence examiner, but they are still insufficient. Therefore, in this study, 25 competency evaluation factors in a total of 9 competency groups were defined using methodologies such as expert FGI and Delphi survey. Specifically, it was defined as Digital Forensics Theory, Digital Evidence Collection&Management, Disk Forensics, Mobile Forensics, Video Forensics, infringement forensics, DB Forensics, Embedded(IoT) Forensics, and Cloud Forensics. The digital evidence examiner competency model is expected to be used in various fields such as recruitment, education and training, and performance evaluation in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.336-339
• /
• 2022

In this study, we examine the cases of instructors who conducted subject management by understanding the learning patterns of convergence major students taking programming courses Therefore, we intend to find implications for the operation of SW curriculum for convergence majors in the future. In the programming class of the convergence major, students of various grades and majors take the course, and a survey was conducted to understand their learning patterns in a non-face-to-face environment. The instructor studied whether it would be possible to induce learners' participation in class even when face-to-face communication was not possible, and tried to operate the class by understanding the learning propensity of the learners. As there are many students who have maintained successful experiences in self-directed learning amid COVID-19, weekly assignments were set so that they could solve their own problems independently, and almost all students submitted assignments. This study is meaningful in that it studied students' learning patterns, task performance, and programming achievement by operating 'Machine Learning' subject to students of the convergence major in a non-face-to-face situation due to COVID-19.

• Journal of Broadcast Engineering
• /
• v.28 no.3
• /
• pp.302-313
• /
• 2023

This paper aims to develop a framework that can fully automate the quality management of training data used in large-scale Artificial Intelligence (AI) models built by the Ministry of Science and ICT (MSIT) in the 'AI Hub Data Dam' project, which has invested more than 1 trillion won since 2017. Autonomous driving technology using AI has achieved excellent performance through many studies, but it requires a large amount of high-quality data to train the model. Moreover, it is still difficult for humans to directly inspect the processed data and prove it is valid, and a model trained with erroneous data can cause fatal problems in real life. This paper presents a dataset reconstruction framework that removes abnormal data from the constructed dataset and introduces strategies to improve the performance of AI models by reconstructing them into a reliable dataset to increase the efficiency of model training. The framework's validity was verified through an experiment on the autonomous driving dataset published through the AI Hub of the National Information Society Agency (NIA). As a result, it was confirmed that it could be rebuilt as a reliable dataset from which abnormal data has been removed.

• Women's Health Nursing
• /
• v.29 no.1
• /
• pp.12-19
• /
• 2023

Purpose: The aim of this study was to conduct a scoping review of knowledge and information delivery modes related to preconception care (PCC) among adolescent girls and women. Methods: A scoping review was performed on studies selected from five electronic databases (Cochrane Library, PubMed, Science Direct, CINAHL/EBSCO, and ProQuest), published between 2012 and 2022, with predetermined keywords and criteria. We included English-language research articles available in full text and excluded irrelevant articles. Results: This study included eight articles, comprising seven quantitative studies and one qualitative study conducted among adolescent girls and women. Five were from low- and middle-income countries and three were from high-income countries. The synthesized themes generated from the data were PCC knowledge and PCC information delivery modes and effectiveness. In general, adolescent girls and women were found to have basic PCC knowledge, including risk prevention and management and a healthy lifestyle, although more extensive knowledge was found in higher-income countries than in lower-income countries. The delivery modes of PCC information have grown from individual face-to-face conventional methods, which are used predominantly in lower-income countries, to more effective digital mass media. Conclusion: Globally, many women still have insufficient knowledge regarding PCC, as not all of them receive access to PCC information and support. PCC promotion efforts should be initiated earlier by involving a wider group of reproductive-age women and combining individual, in-group, face-to-face, and electronic delivery modes.

• International Journal of Knowledge Content Development & Technology
• /
• v.13 no.1
• /
• pp.27-41
• /
• 2023

The outbreak of the corona virus diseases (COVID-19) in the late 2019 has affected all facets of educational system including library and information services. Reference services, an important aspect of library services are not exempted from this impact. This study therefore, investigated the impact of COVI\D-19 pandemic on the use of reference services and sources by postgraduate students using Kenneth Dike Library (KDL), University of Ibadan, as a case study. Using descriptive survey of correlational type, the study adopted the use of structured questionnaire to randomly select three hundred (300) postgraduate users of reference sources and services in KDL using online survey monkey. Of the three hundred (300) copies, two hundred and twenty three (223) copies, repre- senting 74.3% were retrieved and used for analysis. Findings revealed that, in spite of COVID-19 pandemic, most postgraduate students used Current Awareness Services (203, 91.0%, mean = 3.19), Reference Sources (202, 90.5%, mean = 3.18) and On-line Public Access Catalogue (195, 87.4%, mean = 3.13); low frequency of bibliotherapy (mean=2.22), Reader's Advisory services (mean=2.30) and inter-library loan (mean=2.13) and that COVID-19 pandemic had high impact on post- graduate students' use of reference services in Kenneth Dike Library, University of Ibadan. Based on the findings, recommendations were made that library management should consider the adoption of virtual reference services (VRS) in addition to the conventional mode of refer- ence services to enhance patronage in the COVID-19 era. The library users should also be trained on how to take advantage of the COVID-19 pandemic to learn new skills in the digital space that will eventually optimize the usage of the library remotely.

• Journal of Digital Convergence
• /
• v.20 no.1
• /
• pp.155-163
• /
• 2022

The ecology of Korean Production Industry has been changing rapidly. Small & medium size independent production companys have been shrinking in market share while big size production companys are taking larger share than before. This study intends to show the dramatic change of the ownership in Korean production industry and the consequencies. When considering positive development of production industry, small & medium size independent production companys should play important roles but the environment of the industry is not easy for them. The implication of this study is that small & medium size independent production companys have to search for survival strategies to adapt environmental change.

• Journal of Digital Convergence
• /
• v.20 no.1
• /
• pp.249-255
• /
• 2022

The purpose of this study is to establish and propose a post-diagnosis checklist for the revitalization of domestic regional co-brands that have not been activated despite many strengths. First, I looked into the brand revitalization methodology through prior researches and among them, referring to the cause-remedies model, the cause of the deactivation of the co-brand and the currently used revitalization method were examined through case studies and expert interviews. Regarding the currently used method, the reason for using the method was inferred, and the factors corresponding to the cause and effect were found and categorized in the inferred sentence, and the corresponding detailed items were set and the checklist items were presented. Although this study has a limitation in that there is no practical checklist verification, it is expected that a specific activation plan will be presented through verification of future studies.

• Journal of Digital Convergence
• /
• v.20 no.5
• /
• pp.61-68
• /
• 2022

This study examines the impact of consumers' subjective perception on the quality loyalty of the Internet of things, explores academic innovation schemes, and puts forward business strategies for on-site optimization of the industry. The research methods use online survey methods for Chinese consumers who have used or bought Xiaomi IoT products. The results show that the inherent attributes of Internet of things products have an impact on brand image, and brand image has an impact on customer loyalty. Brand image shows complete media effect in the relationship between hyper-connectivity and customer loyalty of Internet of things products. For the enterprises that develop the Internet of things, obtaining the perceived brand image has a very important strategic significance in expanding the loyal customer base.