• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.19-26
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• 2010

Due to the development of new digital technologies in recent years, consumers play different roles with compared to the past. Though they used to consume various existing contents, nowadays they have opportunities to use in user-friendly environment which can make them create and share their own contents. Under this circumstance, the digital storytelling has become a big issue in large area, and the web-based contents have been produced with diverse contests. In fact, the digital storytelling means a kind of storytelling method which is made by digital technologies and has been created under various circumstances. However, many researches concern that the digital storytelling is just applied for moving from analog to digital in terms of a tool, but in the reality it is far from the web 2.0 with collective intelligence. Therefore, in this paper, we propose a web-based collaborative digital storytelling platform that analysis user's action processes and components applying collective intelligence.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.403-404
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• 2023

In an era where everything is digitalized using AI(Artificial Intelligence), such as the ChatGPT craze, the evacuation guidance system still uses an analog and fixed method, so there is a limit to quick response in case of fire. In order to overcome this, we introduce a digitally transformed evacuation guidance system using AI and discuss its effectiveness.

• Digital Contents
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• no.3 s.82
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• pp.48-53
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• 2000

기업 내부의 다양한 부서처럼 Competitive Intelligence는 성과를 보여주어야 한다. Competitive Intelligence이 수행할 업무는 기업이 부딪히는 환경에 대한 꾸준한 조사. 기회 포착과 이러한 기회를 기업 내부로 확산하는 작업이다. 이 글에서 우리는 Competitive Intelligence 전문가가 매일 마주치는 문제에 관한 현실적인 대응 방안을 다룬다. 먼저 기회 포착에 관한 중요성을 다룬다. 기회 포착 없이 기술 개발은 경쟁 상대에게 이익을 줄뿐이다.

• Digital Contents
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• no.4 s.83
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• pp.84-89
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• 2000

우리는 앞장에서 Competitive Intelligence는 치열한 국제 경쟁에서 산업이나 기업의 경쟁력 확보를 위하여 자유롭게 이용할 수 있는 정보를 최대한 효율적으로 다루어 의사결정에 활용하는 방법으로 요약하였다. 이번호에서는 Competitive Intelligence 활동이 기업의 사업분야에 따라 다르게 진행되는 사례를 살펴본다. 이어서 Competitive Intelligence 활동에서 필수적으로 동반해야 할 요소들과 Competitive Intelligence 전문가가 갖추어야 할 자질에 대해 설명한다.

• Digital Contents
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• no.6 s.85
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• pp.92-97
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• 2000

이 글은 프랑스의 한 중소기업에서 이루어지는 Competitive Intelligence 활동의 사례를 설명한다. 중소기업으로서 치열한 경쟁에서 기업을 유지, 발전하기 위하여 정보를 어떻게 다루고 있는지 설명한다. 결국 중소기업이지만 기업 현실에 타당한 Competitive Intelligence활동이 얼마나 기업활동에 중요한지를 보여준다. 이어서 지역 경제를 발전시키는데 있어 Competitive Intelligence 활동을 경제 발전의 중요한 방법으로 다루고 있는 France-Comte 지역의 활동에 관해 다룬다.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.36-41
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• 2022

Cyberbullying and digital drama are on the rise among students. Therefore, this paper proposes an educational program that can enhance students' ability to use artificial intelligence(AI) technology and develop the power to respond to digital drama. In order to understand the effect of the proposed education program, this education was applied on a trial basis to 205 middle school students residing in South Korea. Moreover, the change of coping ability to the digital drama was observed before and after education. After applying for the educational program, the students' empathy(t=-5.506, p<0.001), peer conflict resolution(t=-3.842, p<0.01), and peer mediation(t=-4.213, p<0.001) improved, and did not significantly affect their anger control ability(t=-0.272, p>0.05). The educational program proposed in this paper uses AI to make it more attractive for students familiar with digital devices to participate in education and increase their educational concentration. This paper has its limitations as it is a study only for middle school students in South Korea. However, it is significant that the educational program proposed in this paper prevented the recently increased digital drama and led to a crucial change in coping ability.

• Biomedical Science Letters
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• v.29 no.2
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• pp.53-57
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• 2023

The main objective of pathologists is to achieve accurate lesion diagnoses, which has become increasingly challenging due to the growing number of pathological slides that need to be examined. However, using digital technology has made it easier to complete this task compared to older methods. Digital pathology is a specialized field that manages data from digitized specimen slides, utilizing image processing technology to automate and improve analysis. It aims to enhance the precision, reproducibility, and standardization of pathology-based researches, preclinical, and clinical trials through the sophisticated techniques it employs. The advent of whole slide imaging (WSI) technology is revolutionizing the pathology field by replacing glass slides as the primary method of pathology evaluation. Image processing technology that utilizes WSI is being implemented to automate and enhance analysis. Artificial intelligence (AI) algorithms are being developed to assist pathologic diagnosis and detection and segmentation of specific objects. Application of AI-based digital pathology in biomedical researches is classified into four areas: diagnosis and rapid peer review, quantification, prognosis prediction, and education. AI-based digital pathology can result in a higher accuracy rate for lesion diagnosis than using either a pathologist or AI alone. Combining AI with pathologists can enhance and standardize pathology-based investigations, reducing the time and cost required for pathologists to screen tissue slides for abnormalities. And AI-based digital pathology can identify and quantify structures in tissues. Lastly, it can help predict and monitor disease progression and response to therapy, contributing to personalized medicine.

• The Korean Journal of Physiology and Pharmacology
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• v.23 no.5
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• pp.311-315
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• 2019

Recently, digital health has gained the attention of physicians, patients, and healthcare industries. Digital health, a broad umbrella term, can be defined as an emerging health area that uses brand new digital or medical technologies involving genomics, big data, wearables, mobile applications, and artificial intelligence. Digital health has been highlighted as a way of realizing precision medicine, and in addition is expected to become synonymous with health itself with the rapid digitization of all health-related data. In this article, we first define digital health by reviewing the diverse range of definitions among academia and government agencies. Based on these definitions, we then review the current status of digital health, mainly in Korea, suggest points that are missing from the discussion or ought to be added, and provide future directions of digital health in clinical practice by pointing out certain key points.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.1
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• pp.153-172
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• 2023

We look into the theory of experiential learning, which allows learners to design and organize their own lives, as well as to develop the necessary competencies for students who will be living in intelligent information society. We also investigate the teaching and learning methods, as well as the educational contents of artificial intelligence education, and develop an approach to artificial intelligence education that will develop learners' capabilities. As a result, we have investigated the pedagogical needs for artificial intelligence education in elementary and secondary schools, critically reviewed the discussions on experiential learning-based education for artificial intelligence education in elementary and secondary schools, and proposed a plan. Experiential learning achieves comprehension and knowledge acquisition naturally, as well as subject connection and integration. When preparing for artificial intelligence education, practical methods and procedures for developing capabilities in artificial intelligence education, focusing on in-depth learning, inter-subject linkage and integration, life-related learning, and reflection on the learning process, should be considered unavoidable.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.124-129
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• 2021

As the 4th industrial era is in full swing, the public's interest in related technologies such as artificial intelligence, big data, and block chain is increasing. As artificial intelligence technology is used in various industrial fields, the need for research methods incorporating artificial intelligence technology in related fields is also increasing. Evidence collection among digital forensic investigation techniques is a very important procedure in the investigation process that needs to prove a specific person's suspicions. However, there may be cases in which evidence is damaged due to intentional damage to evidence or other physical reasons, and there is a limit to the collection of evidence in this situation. Therefore, this paper we intends to propose an artificial intelligence-based evidence collection system that analyzes numerous image files reported by citizens in real time to visually check the location, user information, and shooting time of the image files. When this system is applied, it is expected that the evidence expected data collected in real time can be actually used as evidence, and it is also expected that the risk area analysis will be possible through big data analysis.