• 한국컴퓨터정보학회논문지
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• 제22권11호
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• pp.57-63
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• 2017

The recent sudden increase of big data has characteristics such as continuous generation of data, large amount, and unstructured format. The existing relational database technologies are inadequate to handle such big data due to the limited processing speed and the significant storage expansion cost. Thus, big data processing technologies, which are normally based on distributed file systems, distributed database management, and parallel processing technologies, have arisen as a core technology to implement big data repositories. In this paper, we propose a design methodology for large-scale database based on MongoDB by extending the information engineering methodology based on E-R data model.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권12호
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• pp.5058-5072
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• 2015

Quaternions have been commonly employed in color image processing, but when the existing pure quaternion representation for color images is used in perceptual hashing, it would degrade the robustness performance since it is sensitive to image manipulations. To improve the robustness in color image perceptual hashing, in this paper a full quaternion representation for color images is proposed by introducing the local image luminance variances. Based on this new representation, a novel Full Quaternion Discrete Cosine Transform (FQDCT)-based hashing is proposed, in which the Quaternion Discrete Cosine Transform (QDCT) is applied to the pseudo-randomly selected regions of the novel full quaternion image to construct two feature matrices. A new hash value in binary is generated from these two matrices. Our experimental results have validated the robustness improvement brought by the proposed full quaternion representation and demonstrated that better performance can be achieved in the proposed FQDCT-based hashing than that in other notable quaternion-based hashing schemes in terms of robustness and discriminability.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.732-733
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• 2014

본 연구에서는 특허분석을 통해 빅데이터 분야의 R&D 트렌드를 살펴본 후, 향후 우리나라의 기술개발 방향성을 제시하였다. 특허 분석 결과에 따르면, 빅데이터 분야의 R&D 트렌드는 크게 두 가지 특징을 지니고 있는 것으로 나타났다. 첫째는 미국의 독과점 현상으로 미국은 모든 기술분야에서 비교적 고른 출원 활동을 전개하고 있으며, 기술별 평균 점유율이 40% 이상으로 나타나 세계 시장을 독과점하고 있는 것으로 나타났다. 둘째는 R&D 트렌드의 변화로 과거에는 데이터 분석 및 처리 분야의 기술이 주를 이룬 반면, 최근에는 데이터 운영 및 관리 분야의 기술이 대종을 이루고 있다. 하지만 우리나라의 경우 빅데이터 분야의 특허 출원이 주로 저장기술에 집중되어 있으며, 데이터 운영 및 관리기술에 대한 출원은 상대적으로 저조해 관련 기술에 대한 연구가 시급한 것으로 나타났다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2015년도 제51차 동계학술대회논문집 23권1호
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• pp.277-278
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• 2015

The volume sub-challenge requires novel approaches, often referred to as Big Data technologies and methodologies. Data is generated constantly in an ever growing number of places and by an ever growing number of actors while a large proportion of potentially re-usable data resides within silos within institutions or companies. These are needed when conventional database technologies cannot be applied to storage and computing issues. The issue of big data has been referred to as the next frontier in computing. In this paper, we research on factors to design an organizational value chain for Big Data.

• Journal of Information Processing Systems
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• 제16권2호
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• pp.239-245
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• 2020

Blockchain, machine learning, and big data are among the key components of the future IT track. These technologies are used in various fields; hence their increasing application. This paper discusses the technologies developed in various research fields, such as data representation, Blockchain application, 3D shape recognition and classification, query method, classification method, and search algorithm, to provide insights into the future paradigm. In this paper, we present a summary of 18 high-quality accepted articles following a rigorous review process in the fields of Blockchain, machine learning, and big data.

• Genomics & Informatics
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• 제17권4호
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• pp.44.1-44.3
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• 2019

Artificial intelligence (AI), big data, and ubiquitous robotic companions -the three most notable technologies of the 4th Industrial Revolution-are receiving renewed attention each day. Technologies that can be experienced in daily life, such as autonomous navigation, real-time translators, and voice recognition services, are already being commercialized in the field of information technology. In the biosciences field in Korea, such technologies have become known to the local public with the introduction of the AI doctor Watson in large number of hospitals. Additionally, AlphaFold, a technology resembling the AI AlphaGo for the game Go, has surpassed the limit on protein folding predictions-the most challenging problems in the field of protein biology. This report discusses the significance of AI technology and big data on the bioscience field. The introduction of automated robots in this field is not just only for the purpose of convenience but a prerequisite for the real sense of AI and the consequent accumulation of basic scientific knowledge.

• Journal of Information Processing Systems
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• 제19권3호
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• pp.347-354
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• 2023

The rapid development of information technology has accelerated the application of big data and the Internet of Things in various industries. Big data has a great potential in the development of smart tourism. With the help of innovation in emerging technologies such as big data and Internet of Things, smart tourism has a better possibility to surpass traditional tourism. Therefore, this article provides a theoretical support to this process. It has explored the innovative management model of big data and IoT in smart tourism and evaluate their effects on promoting tourism. It offers a reference for the integration and innovation of the tourism theory system. Before big data technology, the development of Internet boosted online tourism. However, tourism marketing is still inefficient due to a lack of understanding about tourists. After many practical explorations of big data technology, tourism websites begin to adopt big data technology in their daily operations. With the changes in tourists' preferences and needs, further innovation and research are needed to help smart tourism keep up with the changes in the market and create more competitive products and services. Innovation serves as the driving force for enterprises to occupy the market and develop.

• Journal of Information Technology Applications and Management
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• 제26권5호
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• pp.57-65
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• 2019

Recommendation Systems are information technologies that E-commerce merchants have adopted so that online shoppers can receive suggestions on items that might be interesting or complementing to their purchased items. These systems stipulate valuable assistance to the user's purchasing decisions, and provide quality of push service. Traditionally, Recommendation Systems have been designed using a centralized system, but information service is growing vast with a rapid and strong scalability. The next generation of information technology such as Cloud Computing and Big Data Environment has handled massive data and is able to support enormous processing power. Nevertheless, analytic technologies are lacking the different capabilities when processing big data. Accordingly, we are trying to design a conceptual service model with a proposed new algorithm and user adaptation on dynamic recommendation service for big data environment.

• 식품보건융합연구
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• 제10권1호
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• pp.1-6
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• 2024

Purpose: The research aims to address the intricacies of AI and Big Data application within the food industry. This study explores the strategic implementation of AI and Big Data in the food industry. The study seeks to understand how these technologies can be employed to bolster consumer engagement and contribute to market expansion, while considering ethical implications. Research Method: This research employs a comprehensive approach, analyzing current trends, case studies, and existing academic literature. It focuses on the application of AI and Big Data in areas such as supply chain management, consumer behavior analysis, and personalized marketing strategies. Results: The study finds that AI and Big Data significantly enhance market analytics, consumer personalization, and market trend prediction. It highlights the potential of these technologies in creating more efficient supply chains, improving consumer satisfaction through personalization, and providing valuable market insights. Conclusion and Implications: The paper offers actionable insights and recommendations for the effective implementation of AI and Big Data strategies in the food industry. It emphasizes the need for ethical considerations, particularly in data privacy and the transparency of AI algorithms. The study also explores future trends, suggesting that AI and Big Data will continue to revolutionize the industry, emphasizing sustainability, efficiency, and consumer-centric practices.

• 한국융합학회논문지
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• 제8권5호
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• pp.29-35
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• 2017

우리나라는 최근 10여 년간 정보통신기술을 중심으로 융합에 대한 높은 관심을 보이고 있으나, 방송과 통신 분야의 성공적인 융합으로 IPTV 등의 성공적인 융합사례 일부 분야를 제외하면, 타 분야 정보통신기술의 융합을 통해 국민, 시민이 체감할 수 있는 성과는 제한적이다. 또한, 사물 인터넷과 빅데이터의 결합으로 서비스 이용자를 둘러싼 자연과 사회 환경에서의 무한한 데이터가 생성되고 활용되어, 보다나은 서비스를 창출할 수 있을 것으로 나타났으나 부처 및 부서 간 칸막이, 정보의 연계 미흡, 정보통신기술 융합을 촉진할 수 있는 정책 제도의 한계점 등의 문제점으로 융합산업 육성에 한계를 보이고 있다. 그러므로 본 논문에서는 사물 인터넷과 빅데이터의 융합을 통한 신산업 창출 추진하기 위해 저해효소는 무엇인지 현황조사를 통해 문제점을 도출하며 문제점 해결 및 사물 인터넷과 빅데이터 활성화를 위한 기술개발, 부가가치 서비스 창출을 위한 추진방안 도출 등의 개선방안을 제시하고, 관련 기술의 융합 활성화를 위한 정책제언 및 활용방안을 제시한다.