• Journal of Convergence for Information Technology
• /
• v.11 no.3
• /
• pp.20-33
• /
• 2021

This study is to suggest improvements of personal information protection in South Korea, according to requiring the safety of process and protection of personal information. Accordingly, based on data collection and analysis through literature research, this study derived the issues and suitable standards of personal information for major artificial intelligence services. In addition, this cases studies were reviewed, focusing on the legal compliance and porcessing compliance for personal information proection in major countries. And it suggested the improvement plan applied in South Korea. As the results, in legal compliance, it is required reorganization of related laws, responsibility and compliance to develop and provide AI, and operation of risk management for personal information protection laws in AI services. In terms of processing compliance, first, in pre-processing and refining, it is necessary to standardize data set reference models, control data set quality, and voluntarily label AI applications. Second, in development and utilization of algorithm, it is need to establish and apply a clear regulation of the algorithm. As such, South Korea should apply suitable improvement tasks for personal information protection of safe AI service.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.31 no.2
• /
• pp.108-115
• /
• 2023

Alongside the rapid development of AI technology, which is stepping in to do tasks more quickly and less prone to error than humans can, the possibility for MI (multiple intelligence) development warrants equal attention and fervor. Recent theories of human intelligence point beyond standard cognitive capacity, IQ, and shine a light on the other unique potentials naturally endowed to humans. The applicability of MI to aviation is discussed, suggesting that it is important to consider ways to integrate MI development techniques into pilot education and training. Experiential starting points are discussed.

• Informatization Policy
• /
• v.23 no.1
• /
• pp.74-93
• /
• 2016

This paper proposes Korean national science and ICT policies in artificial intelligence (AI) field. After analyzing the AI trends in major countries as an initiative for global competitiveness, we suggest for new solutions for nutcracker threats and provide policy recommendations for strengthening competitiveness and commercialization in AI field of Korea. Korea's AI status was diagnosed in the order of governance, research and development (R&D), technology commercialization, law and legislation, and human resources strategy. In conclusion, it proposes improvement of governance, procession of long term future market initiative R&D, development of AI commercialization platforms, preparation of research friendly law and environment, and the nurturing of practical and converging human resources system.

• Bulletin of the Korean Chemical Society
• /
• v.30 no.1
• /
• pp.77-82
• /
• 2009

Thrombin activatable fibrinolysis inhibitor (TAFI) also known as plasma procarboxypeptidase B or U is a 60 kD glycoprotein, which is the major modulator of fibrinolysis in plasma. TAFI is a proenzyme, which is activated by proteolytic cleavage to an active carboxypeptidase B-like enzyme (TAFIa, 35.8 kD) by thrombin/thrombomodulin and plasmin. Modulation of fibrinolysis occurs when TAFIa enzymatically removes C-terminal lysine residues of partially degraded fibrin, thereby inhibiting the stimulation of tissue plasminogen activator (t-PA) modulated plasminogen activation. TAFIa undergoes a rapid conformational change at $37{^{\circ}C}$ to an inactive isoform called TAFIai. Potato tuber carboxypetidase inhibitor (PTCI) was shown to specifically bind to TAFIa as well as TAFIai. In this study, a novel immunoassay TAFIa/ai ELISA was used for quantitation of the two TAFI activation isoforms TAFIa and TAFIai. The ELISA utilizes PTCI as the capture agent and a double antibody sandwich technique for the detection. Low levels of TAFIa/ai antigen levels were detected in normal plasma and elevated levels were found in hemophilia A plasmas. TAFIa/ai antigen represents a novel marker to monitor fibrinolysis and TAFIa/ai ELISA may be a valuable assay for studying the role of TAFI in normal hemostasis and in pathological conditions.

• International Journal of Computer Science & Network Security
• /
• v.24 no.1
• /
• pp.209-214
• /
• 2024

This is an extended research paper focusing on the applications of Machine Learing and Artificial Intelligence in virtual learning environment. The world is moving at a fast pace having the application of Machine Learning (ML) and Artificial Intelligence (AI) in all the major disciplines and the educational sector is also not untouched by its impact especially in an online learning environment. This paper attempts to elaborate on the benefits of ML and AI in E-Learning (EL) in general and explain how King Khalid University (KKU) EL Deanship is making the best of ML and AI in its practices. Also, researchers have focused on the future of ML and AI in any academic program. This research is descriptive in nature; results are based on qualitative analysis done through tools and techniques of EL applied in KKU as an example but the same modus operandi can be implemented by any institution in its EL platform. KKU is using Learning Management Services (LMS) for providing online learning practices and Blackboard (BB) for sharing online learning resources, therefore these tools are considered by the researchers for explaining the results of ML and AI.

• The Journal of the Korea Contents Association
• /
• v.20 no.7
• /
• pp.19-29
• /
• 2020

As the AI speaker market is growing rapidly in recent years, the competition for the preoccupation of children who are the main users and the future prospective customers of the related companies is very intense. However, there is a lack of empirical research on how children interact with AI speakers. Therefore, this research examines the interactions between children and AI speakers, primarily through field studies, to extract what functions they use and what features they have. For this purpose, 799 conversations were collected and analyzed using the log data of the AI speaker recorded in real time. As a result, children were more likely to use children's songs, fairy tales, emotional conversations, and personification compared to adults. In addition, content analysis by specific types resulted in success/failure cases of interaction between children and AI speakers and proposed improvements by failure type. This study is meaningful in that it identifies children's AI speaker preferences, content, and major conversation patterns, and provides guidelines for developing services that meet children's eye level.

• Journal of The Korean Association of Information Education
• /
• v.25 no.3
• /
• pp.491-499
• /
• 2021

Major countries in the world have established strategies for educating about artificial intelligence(AI) and with large investments are actively implementing these strategies. With this trend, domestic ministries have made efforts to establish national strategies to better educate students about AI. This paper presents the syllabus of AI classrooms which has been developed and presented to pre-service and in-service elementary school teachers for their use. In addition, the AI education tools they particularly preferred and their future plans for utilizing them in the elementary school classroom were investigated. Through this study, it was found that pre-service and in-service elementary school teachers strongly prefer lectures about AI education tools that can be immediately applied in the classroom, rather than learning about the theoretical basis of AI. At issue, however, is that the ability to utilize AI is usually based on a sufficient understanding of the theory. Thus, this paper suggests further study to identify better pedagogical practices to improve students' understanding the theoretical basis of AI.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.59-67
• /
• 2021

The development of AI technology has brought about a big change in our lives. As AI's influence grows from life to society to the economy, the importance of education on AI and data is also growing. In particular, the OECD Education Research Report and various domestic information and curriculum studies address data literacy and present it as an essential competency. Looking at domestic and international studies, one can see that the definition of data literacy differs in its specific content and scope from researchers to researchers. Thus, the definition of major research related to data literacy was analyzed from various angles and derived from various angles. In key studies, Word2vec natural language processing methods, along with word frequency analysis used to define data literacy, are used to analyze semantic similarities and nominate them based on content elements of curriculum research to derive the definition of 'understanding and using data to process information'. Based on the definition of data literacy derived from this study, we hope that the contents will be revised and supplemented, and more research will be conducted to provide a good foundation for educational research that develops students' future capabilities.

• Journal of the Korea Society of Computer and Information
• /
• v.29 no.7
• /
• pp.81-88
• /
• 2024

Despite the rapid growth of the generative AI market and significant interest from domestic companies and institutions, concerns about the provision of inaccurate information and potential information leaks have emerged as major factors hindering the adoption of generative AI. To address these issues, this paper designs and implements a question-answering system based on the Retrieval-Augmented Generation (RAG) architecture. The proposed method constructs a knowledge database using Korean sentence embeddings and retrieves information relevant to queries through optimized searches, which is then provided to the generative language model. Additionally, it allows users to directly manage the knowledge database to efficiently update changing business information, and it is designed to operate in a private network to reduce the risk of corporate confidential information leakage. This study aims to serve as a useful reference for domestic companies seeking to adopt and utilize generative AI.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.1
• /
• pp.211-216
• /
• 2024

The purpose of this study is to examine the functional aspects linked to the productivity innovation of ChatGPT, which emerged as a result of the rapid development of AI technology, and to identify ways to apply it in the jewelry industry. By analyzing the definition of ChatGPT and its features that improve productivity, I identify the scope of its application in the jewelry production process and derive meaningful implications. ChatGPT has the characteristics of 'learning', 'communication', and 'generative'. It enhances productivity by applying it to the jewelry industry. Social issues arise from the paradigm shift in the creation methods of generative AI. The version of ChatGPT is continuously upgraded along with the expansion of parameters. Accordingly, we would like to discuss ways to strengthen the competitiveness of the jewelry industry by conducting continuous research.