• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2014년도 제49차 동계학술대회논문집 22권1호
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• pp.189-191
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• 2014

This paper provides an overview of the E-learning service education on the last decade, In the early 2000's the emphasis of educational technology was on interactive multimedia- stand alone packages on computer hard disks or portable memory, which integrated a range of media forms in the lately. Customers handle finding the best sources of content.The system then uses social signals such as those coming from Facebook, Twitter, LinkedIn, delicious as well as clicks and views. The SNS and network infrastructure is sufficiently mature that the focus should shift to how to use the technology most appropriately to facilitate learning. As we study environmental conditions of the traditional internet and the mobile internet users in some ways. In this paper, analyze the nature of learning, role of educational and suggest alternative policy, innovation of e-learning service and effective e-learning environment in developing technology.

• 인터넷정보학회논문지
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• 제24권6호
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• pp.161-169
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• 2023

4차산업혁명으로 인해 인공지능(AI), 빅데이터(Big Data), 클라우드(Cloud) 등 다양한 기술들의 혁신이 가속화되고 있고 데이터가 중요한 자산으로 여겨지고 있다. 이러한 기술의 발전에 따라 국방과학기술분야에서도 기술 혁신을 창출하기 위한 다양한 노력들이 진행되고 있다. 국내에서도 정부는 2023년 3월에 첨단과학기술 강군 육성을 위한 5대 중점과 16개 과제로 구성된 「국방혁신 4.0 기본계획」을 발표했다. 이 계획에는 인사·군수 분야에서도 빅데이터를 구축하는 내용에 무기체계 운용성·가용성 향상과 국방비 절감을 위한 상태기반정비체계(CBM+) 구축에 관한 내용이 포함되어 있다. 상태기반정비(Condition Based Maintenance, CBM)는 무기체계의 신뢰도 확보와 가용성 증대를 목표로 하며 장비의 상태정보 변화를 분석하여 고장과 결함의 징후로 식별하여 정비를 수행하는 개념이고, CBM+는 기존 CBM의 개념에 잔존유효수명(Remaining Useful Life) 예측 기술이 더해진 개념이다[1]. 무기체계 상태기반정비체계 구축을 위해서는 무기체계의 상태정보 획득을 위해 센서를 설치하고 수집된 센서데이터가 필요하다. 본 논문에서는 다양한 무기체계에 설치된 센서에서 수집된 센서데이터를 효율적이고 효과적으로 관리하기 위한 센서데이터 메타데이터 스키마를 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권1호
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• pp.31-50
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• 2023

In the midst of dynamic industrial changes, companies need data analysis considering the effects of integration of various technologies in order to establish innovative R & D strategies. However, the existing technology forecasting model evaluates individual technologies without considering relationship among them. To improve this problem, this study suggests a new methodology reflecting the integration of technologies. In the study, a technology forecasting indicator was developed using the technology integration index based on social network analysis. In order to verify the validity of the proposed methodology, 'drone task performance technology' based on patent data was applied to the research model. This study aimed to establish a theoretical basis to design a research model that reflects the degree of integration of technologies when conducting technology forecasting research. In addition, this study is meaningful in that it quantitatively verified the proposed methodology using actual patent data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권3호
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• pp.986-1005
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• 2022

Text steganography is one of the most imminent and promising research interests in the information security field. With the unprecedented success of the neural network and natural language processing (NLP), the last years have seen a surge of research on generative linguistic steganography (GLS). This paper provides a thorough and comprehensive review to summarize the existing key contributions, and creates a novel taxonomy for GLS according to NLP techniques and steganographic encoding algorithm, then summarizes the characteristics of generative linguistic steganographic methods properly to analyze the relationship and difference between each type of them. Meanwhile, this paper also comprehensively introduces and analyzes several evaluation metrics to evaluate the performance of GLS from diverse perspective. Finally, this paper concludes the future research work, which is more conducive to the follow-up research and innovation of researchers.

• International Journal of Internet, Broadcasting and Communication
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• 제16권2호
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• pp.127-135
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• 2024

Recent studies have shown that inverse design using deep learning has the potential to rapidly generate the optimal design that satisfies the target performance without the need for iterative optimization processes. Unlike traditional methods, deep learning allows the network to rapidly generate a large number of solution candidates for the same objective after a single training, and enables the generation of diverse designs tailored to the objectives of inverse design. These inverse design techniques are expected to significantly enhance the efficiency and innovation of design processes in various fields such as aerospace, biology, medical, and engineering. We analyzes inverse design models that are mainly utilized in the nano and chemical fields, and proposes inverse design models based on supervised and unsupervised learning that can be applied to the engineering system. It is expected to present the possibility of effectively applying inverse design methodologies to the design optimization problem in the field of engineering according to each specific objective.

• 지식경영연구
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• 제18권4호
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• pp.237-260
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• 2017

Recently, with the proliferation of smart phones and mobile devices and the increase in the speed of mobile Internet, IT services are increasingly used in smart phones and mobile devices in a different way from the past. That is, a cloud service that downloads and uses data stored in the server in real time is expanding, and as a result, the security due to the continuous Internet connection of the user becomes a problem. In this study, we analyzed the relationship between factors affecting the continuous use of personal cloud service by using technology acceptance model. In addition to the technology acceptance model, confidentiality, privacy, accessibility, innovation, and self-efficacy were extracted from the existing research with emphasis on the characteristics of the cloud service and security factors. Moreover, the difference of intention to use among genders was verified through structural equation modeling with survey data from 262 personal cloud service users.

• International Journal of Knowledge Content Development & Technology
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• 제10권2호
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• pp.7-18
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• 2020

Communication is a process involving a group of interrelated elements working together for the purpose of information transfer. This paper discusses information retrieval as a communication process in the 21st century library. The difficulties associated with access to recorded knowledge through bibliographic control devices have been exacerbated by the interposition of additional encoding processes in the library and further decoding by the users. In addition, the innovation of internet/web has revolutionized the means and mode of communication process in the library by flooding information seekers with information and creating an illusion of self-sufficiency in many users. With these changes in information seeking behaviour and pattern, a cybernetic approach to information retrieval has emerged emphasizing adaptive control mechanisms and feedback processes. This paper argues that libraries should strive to continuously remain relevant by keeping abreast with changes in the behavior of information users. To this end, this paper proposes apomediatic-cybernetic model of communication, which illustrates information retrieval processes for the 21st-century library.

• International Journal of Internet, Broadcasting and Communication
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• 제16권1호
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• pp.253-260
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• 2024

We studied to aim for exploring practical approaches to enhance the effectiveness of creativity education by using artificial intelligence and the metaverse in the field of media contents. Recognizing the need for educational innovation to adapt to the accelerating changes driven by the advancements in artificial intelligence and the metaverse, and considering the increasing importance of fostering creativity as a key competitive advantage for future talents, we focused on research implementing creativity education in the media contents domain. To achieve this, we conducted this study during a semester-long media contents course utilizing artificial intelligence and the metaverse in real classroom setting. We involved in this study collecting feedback and opinions from students to investigate and identify effective strategies for enhancing the impact of creativity education. As a result, we proposed the utility of media contents class using artificial intelligence and the metaverse in enhancing students' creativity. By elucidating which teaching methods are most effective, we contributed to derive beneficial outcomes for media contents creative education.

• 실천공학교육논문지
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• 제11권1호
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• pp.87-103
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• 2019

최근 인구 고령화에 따라 고령자의 정보기통신기술 활용에 대한 논의가 증가하고 있으나 고령자들의 스마트 디바이스를 활용한 인터넷 이용은 여전히 타 세대와 격차가 있다. 본 연구는 고령자의 평생학습 관점에서 스마트 디바이스 인터넷 활용의도에 영향을 미치는 요인을 조사하는 것을 목표로 한다. 스마트기기의 인터넷 활용 의도에 영향을 미치는 요인을 파악하기 위해 광주 고령친화산업지원센터(GSTC)를 방문한 고령자 150명을 대상으로 설문조사 방식을 통해 분석하였다. 실증을 통해 고령자의 지각된 경제적 가치와 실용적 가치가 스마트 디바이스의 인터넷 활용의도에 유의한 영향을 미친다는 점을 밝혔으며, 고령자 개인 혁신성의 조절효과는 유의하지 않았지만, 사회활동 참여는 지각된 가치와 스마트 디바이스의 인터넷 활용의도 사이의 관계를 조절하였다. 또한 고령자는 스마트 디바이스의 인터넷 활용을 통해 삶의 질이 향상될 것이라고 기대하였다. 이 연구의 결과는 고령자를 대상으로 한 정부 및 지자체의 고령자 대상 정보통신기술 활용에 대한 지침과 고령자 평생학습 관점에서의 시사점을 제공할 것이다.

• International Journal of Internet, Broadcasting and Communication
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• 제16권3호
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• pp.379-387
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• 2024

Agriculture has always been the foundation of Vietnam's economy, accounting for a significant portion of GDP. However, like many traditional industries, Vietnamese agriculture faces many challenges, from inefficient supply chains to unpredictable weather developments. In recent years, Vietnam's agricultural sector has been looking for ways to improve productivity and efficiency by applying modern technology. Among these technologies, artificial intelligence (AI) has emerged as a potential solution to address the challenges farmers and other stakeholders face in the agricultural supply chain. AI can analyze large amounts of data, optimize resource allocation, and predict market trends, which can significantly improve decision-making in agriculture. However, despite the promising prospects of AI in agriculture, there are still challenges to the widespread application of AI in Vietnam. These include the need for more awareness, technical expertise, and Infrastructure to support AI implementation. In this study, we analyze the current state of AI applications in Vietnam's agricultural supply chain, identify key challenges, and propose strategies to facilitate the integration of AI technology in agriculture supply chains in Vietnam in the digital age.