• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권12호
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• pp.5634-5653
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• 2018

Internet of things (IoT) is based on a global dynamic information network with cloud services where a great number of devices (things) exchange data to provide added-value services and products. There are several commercial and open source IoT platforms available in the market to connect devices to internet; however, they have cost and operational constraints that make them not suitable for academic projects. In this work, an IoT platform, known as Novus-io, is introduced in order to support academic projects for undergraduate students. With this platform and proper training, undergraduate students from different majors (not only from information technology and electronics) are capable to upgrade their school projects with IoT functionalities. The objective of this approach is to provide to any undergraduate student skills and knowledge on IoT, so they will be prepared, in their imminent step toward professionalism, to understand the relevance of digital services in today's world.

• Genomics & Informatics
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• 제5권2호
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• pp.83-87
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• 2007

The analysis of DNA microarray data is a rapidly evolving area of bioinformatics, and various types of microarray are emerging as some of the most exciting technologies for use in biological and clinical research. In recent years, microarray technology has been utilized in various applications such as the profiling of mRNAs, assessment of DNA copy number, genotyping, and detection of methylated sequences. However, the analysis of these heterogeneous microarray platform experiments does not need to be performed separately. Rather, these platforms can be co-analyzed in combination, for cross-validation. There are a number of separate laboratory information management systems (LIMS) that individually address some of the needs for each platform. However, to our knowledge there are no unified LIMS systems capable of organizing all of the information regarding multi-platform microarray experiments, while additionally integrating this information with tools to perform the analysis. In order to address these requirements, we developed a web-based LIMS system that provides an integrated framework for storing and analyzing microarray information generated by the various platforms. This system enables an easy integration of modules that transform, analyze and/or visualize multi-platform microarray data.

• Journal of Information Technology Applications and Management
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• 제28권2호
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• pp.1-16
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• 2021

In recent years, as IT technologies such as cloud computing and mobile payment have evolved and Internet users have increased, the Internet financial market has become intelligent, mobile, and platformed. This study considers the impact of the psychological characteristics of platform systems and users on the performance of fintech platforms. The results of this study are as follows. Information quality affected trust and commitment, service quality affected commitment only, and system quality affected trust and commitment. The perceived risk affected trust and commitment, and the perceived benefit only affected trust and was shown to have an insignificant relationship with immersion. Trust has been shown to have a significant relationship with commitment, and both trust and commitment affected performance. In the validation of mediation effects, trust has shown a partially mediated effect between information quality, system quality, perceived risks, and perceived benefits and performance. There was no mediation effect between service quality and performance. Immersion has been shown to have a partial mediating effect between information quality, service quality, system quality, perceived risk and performance, and there is no mediating effect between perceived benefits and performance. This study showed what are the main factors that affect the performance of the fintech platform and will be used as a useful foundation for increasing the performance of the platform in the future.

• 문화기술의 융합
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• 제5권2호
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• pp.375-380
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• 2019

본 논문의 핵심 주제는 개방형 교육 플랫폼 기반 학습 프로세스 마이닝 및 애널리틱스 기술로 최근에 관심과 사용이 급속히 증가하고 있는 MOOC(Massive Open Online Courseware) 등과 같은 개방형 교육 플랫폼을 기반으로 하는 개인별 학습 이력 로그로부터 학습 및 러닝 프로세스를 중심으로 하는 유의미한 학습 프로세스 지식을 발견하고 분석하기 위한 학습 프로세스 마이닝 프레임워크를 설계 및 구현하는 기술이다. 러한 프레임워크의 핵심 기술로서, 학습 프로세스의 표현, 추출, 분석, 가시화하는 기술과 이러한 마이닝 및 분석된 학습 프로세스 지식으로부터 개선된 학습 프로세스 관련 교육 서비스를 제공하는 기술로 구성된다.

• Agribusiness and Information Management
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• 제1권1호
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• pp.87-106
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• 2009

Web2.0 refers to a new service models based by a community oriented philosophy. This creates new opportunities for technology providers and service. The agricultural technology information service in the base of open source technology provide opportunities for increased distribution and visibility to farmer and general user. We would like to find out vest service models and platform that will find new ways of agriculture technology information service. This study suggests that these new agriculture information service strategy in new paradigm of web 2.0. should be revised and adapted to Open API and new applied strategy in agriculture should be developed considering the impact of web 2.0.

• 스마트미디어저널
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• 제3권3호
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• pp.20-25
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• 2014

본 연구는 사람, 사물, 그리고 서비스 사이의 통신과 원활한 서비스 운용을 위한 다면적(multi-aspect) Social IoT 플랫폼에 관한 개념을 소개하고, 이러한 다면적 Social IoT 플랫폼상에서 기존 특정 도메인을 위해 구성된 데이터 표현들을 온톨로지 표현으로 재구성할 수 있는 온톨로지 스키마 변환 프로세스들 제안한다. 현재, 많은 연구들이 센서 온톨로지나 디바이스 온톨로지 등과 같이 사물에 기반한 서비스 상호운영성을 위한 인프라 구성에 초점을 둔 표준화된 시맨틱 모델 개발에 집중하고 있으나, 사람과 사물, 그리고 서비스 사이의 최적화된 상호 운용을 위해서는 사람과 사물, 그리고 서비스가 갖는 다양한 특성이 반영된 시맨틱 모델에 관한 연구는 미흡한 실정이다. 따라서, 본 연구에서는 IoT를 구성하는 각 도메인들의 표현 체계를 온톨로지 기반 표현체계로 변환할 수 있도록 기존 소셜 네트워크 구성 요소들을 확장하여 다면적 소셜 네트워크 온톨로지 스키마를 구축하고, 이를 기반으로 IoT내 도메인 지식들을 온톨로지로 자동 변환할 수 있는 프로세스를 개발하였다.

• 한국CDE학회논문집
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• 제7권2호
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• pp.110-120
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• 2002

This paper presents the method that allows easy and rapid integration of legacy resources within the company and between departments. The proposed system can easily construct a distributed environment for collaborative design between departments in the companies. It supports knowledge-based integration system, which allows designers to develop product with deep knowledge about product design. For the purpose, DOME (Distributed Object-based Modeling Environment)-which has been developed through various studies-was used in this paper. To overcome its problems and insufficiency, the Web-Integrator is proposed. The Web-Integrator is very suitable for an Internet environment because it uses HTTP (Hyper Text Transfer Protocol) and XML (extensible Markup Language) as its main communication method. By supporting the remote object access via URL (Uniform Resource Locator), the implementation of the integrated system makes the Web-Integrator systematic and intuitive. All the functions and resources provided by DOME could be used with the interface that enables bi-directional communication with the DOME system. Web-Integrator provides full web-based environments for the general designers, who do not have a full design knowledge and experience, and the proposed system allows design operations to happen at any place and anytime. Also it provides XML-RPC(Remote Procedure Call) based web service framework, which allows other systems to use easily the service that the DOME system supplies regardless the location and the platform.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.211-218
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• 2022

Pandemic situations such as COVID-19 can occur supply chain crisis. Under the supply chain crisis, delivering farm products from the farm to the city is also very challenging. Therefore it is essential to prepare food sufficiency people who live in a city. We firmly insist on food self-production/consumption systems in each home. However, since it is impossible to grow high-quality crops without expertise knowledge. Therefore expert system is essential to grow high-quality crops in home. To address this problem, we propose a smart kitchen farm as a data-based monitoring system and platform with ICT convergence technology. Our proposed approach 1) collects data and makes judgments based on expert knowledge for home users, 2) increases product quality of the smart kitchen farms by predicting abnormal/normal crops, and 3) controls each personal home cultivation environment through data-based monitoring within the smart central server. We expect people can cultivate high-quality crops in thir kitchens through this system without expert knowledge about cultivation.

• Journal of Information Science Theory and Practice
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• 제11권2호
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• pp.67-81
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• 2023

This paper presents a dynamic development of an ontology-based statistical information system supporting the collection, storage, processing, analysis, and the presentation of statistical knowledge at the national scale. To accomplish this, we propose a data mining technique to dynamically collect data relating to citizens from publicly available data sources; the collected data will then be structured, classified, categorized, and integrated into an ontology. Moreover, an intelligent platform is proposed in order to generate quantitative and qualitative statistical information based on the knowledge stored in the ontology. The main aims of our proposed system are to digitize administrative tasks and to provide reliable statistical information to governmental, economic, and social actors. The authorities will use the ontology-based statistical information system for strategic decision-making as it easily collects, produces, analyzes, and provides both quantitative and qualitative knowledge that will help to improve the administration and management of national political, social, and economic life.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제10권12호
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• pp.329-342
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• 2021

오랜 기간과 막대한 비용에도 성공 확률이 낮은 제약·바이오 산업의 생산성 위기를 해결하기 위한 전략으로 전 세계적으로 인공지능과 빅데이터를 활용하려는 사례가 증가하고 있고 가시적인 성과가 나오고 있지만 국내에서는 신약연구에 인공지능 플랫폼 도입에는 관망하는 상황이다. 본 연구는 신약개발을 지원하는 인공지능 플랫폼의 사용과 확산을 촉진하기 위해 도입 및 수용을 견인하는 지각된 가치와 변화에 대한 저항, 수용의도 관계를 검증할 가치기반수용모형과 혁신저항모형 결합 연구모형을 제시하였다. 인공지능 신약개발 플랫폼 사용의도의 연구모형은 지각된 편익으로 유용성, 지식풍부성을, 지각된 희생으로 복잡성, 알고리즘 불투명성을 채택하였고 지각된 가치, 혁신저항의 매개변수로 구성되었다. 실증 결과, 유용성, 지식풍부성, 복잡성, 인공지능 알고리즘의 불투명성이 지각된 가치에 유의미한 영향을 미치고, 유용성, 지식풍부성, 알고리즘의 불투명성, 시험가능성, 인공지능 기술지원환경이 플랫폼 도입에 따른 혁신저항에 유의미한 영향을 미치는 것으로 나타났다.