• International Journal of Knowledge Content Development & Technology
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• v.8 no.1
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• pp.25-36
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• 2018

Research data must be testable. Science is all about verification and testing. To make data testable, tools used to produce, collect, and examine data during the research must be available. Quite often, however, these data become inaccessible once the work is over and the results being published. Hence, information and the related context must be provided on how research data are preserved and how they can be reproduced. Open Science is the international movement for making scientific research data properly accessible for research community. One of its major goals is building data repositories to foster wide dissemination of open data. The objectives of this research are to examine the features of research data, common repository platforms, and community requests for the purpose of designing functional requirements for research data repositories. To analyze the features of the research data, we use data curation profiles available from the Data Curation Center of the Purdue University, USA. For common repository platforms we examine Fedora Commons, iRODS, DataONE, Dataverse, Open Science Data Cloud (OSDC), and Figshare. We also analyze the requests from research community. To design a technical solution that would meet public needs for data accessibility and sharing, we take the requirements of RDA Repository Interest Group and the requests for the DataNest Community Platform developed by the Korea Institute of Science and Technology Information (KISTI). As a result, we particularize 75 requirement items grouped into 13 categories (metadata; identifiers; authentication and permission management; data access, policy support; publication; submission/ingest/management, data configuration, location; integration, preservation and sustainability, user interface; data and product quality). We hope that functional requirements set down in this study will be of help to organizations that consider deploying or designing data repositories.

• Journal of the Korea Society of Computer and Information
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• v.22 no.9
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• pp.91-97
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• 2017

IoT (Internet of Things) systems are based on heterogeneous hardware systems of different types of devices interconnected each other, ranging from miniaturized and low-power wireless sensor node to cloud servers. These IoT systems composed of heterogeneous hardware utilize data sets collected from a particular set of sensors or control designated actuators when needed using open APIs created through abstraction of devices' resources associated to service applications. However, previously existing IoT services have been usually developed based on vertical platforms, whose sharing and exchange of data is limited within each industry domain, for example, healthcare. Such problem is called 'data silo', and considered one of crucial issues to be solved for the success of establishing IoT ecosystems. Also, IoT services may need to dynamically organize their services according to the change of status of connected devices due to their mobility and dynamic network connectivity. We propose a way of dynamically composing IoT services under the concept of WoT (Web of Things) where heterogeneous devices across different industries are fully integrated into the Web. Our approach allows developers to create IoT services or mash them up in an efficient way using Web objects registered into multiple standardized horizontal IoT platforms where their resources are discoverable and accessible. A Web-based service composition tool is developed to evaluate the practical feasibility of our approach under real-world service development.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.5
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• pp.973-980
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• 2020

Various applied solutions utilizing the technology of the 4th Industrial Revolution are being applied to the health and welfare sector. In the proposed paper, the senior care system solution based on big data is designed. The principles of operation of the proposed system are collecting senior behavioral analyses through API information of smart devices, and sending a primary notification to the relevant senior in cases where a senior reacts differently from the existing standards. A system is proposed to prevent dangerous situations by providing information to peer seniors, family members, and the emergency center in cases where there is no response.

• Journal of IKEEE
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• v.1 no.1 s.1
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• pp.120-137
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• 1997

Han's model, which is able to analyze optical communication between earth station and geo-satellite as a function of atmospheric conditions and elevation angles. is presented. In Han's model, atmospheric conditions are roughly classified into six basic types; clear sky, cloud, haze, fog, rain and snow. Data rate satisfying for the BER below $10^{-7}$ is analyzed by Han's model in case of up-link and down-link, respectively. Data rate is more limited by up-link than by down-link because the pointing loss caused by atmosphere on the up-link is greater than the spatial coherence degradation caused by atmosphere on the down-link.

• Journal of Computing Science and Engineering
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• v.4 no.4
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• pp.253-275
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• 2010

In this article we review the metaphor of service-oriented architecture for enterprise computing. In typical definitions service-oriented architecture appears as a single message and a consistent roadmap for building flexible software system landscapes. But it is not. Different communities have elaborated different SOA (service-oriented architecture) concepts to address different problem areas, i.e., enterprise application integration, business-to-business, business process management, and software productizing. If software architects and software managers are aware of these strands of SOA when talking about SOA in their projects they can avoid misunderstandings and detours better. This article contributes a clarification of the different strands of SOA concepts and technologies and their mutual dependencies and identifies particular SOA concepts as instances of more general software engineering principles.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.309-312
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• 2016

Green Internet of Things (IoT) is the study and practice of eco-friendly sustainable computing. The basic goal of green computing is to reduce the use of materials and maximize energy efficiency with reliable and secure communications. The paper presents various technologies and issues regarding green IoT. It also studies the green Information and Communication Technology (ICT) such as green M2M, green Cloud Computing (CC), and green Data Center (DC). In addition, this paper mentions about the reliability in IoT Communication and and issues to achieve green IoT communication by applying efficient activity scheduling technique for energy saving. Finally, we propose the green IoT-Home Service (GIHS) model which provides efficient energy management in home automation system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.165-166
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• 2018

최근 딥러닝 기술이 발전함에 따라 이를 네트워크 침입탐지 분야에 적용하려는 연구가 활발히 이루어지고 있으며 이에 따라 대용량 네트워크 데이터에 대한 처리 방법이 주목받고 있다. 본 논문에서는 네트워크 데이터를 이미지화하는 전처리 방법을 제안한다. 네트워크 데이터를 세션단위로 처리하여 손실율을 줄이면서 딥러닝 알고리즘에 바로 적용할 수 있도록 정규화된 이미지로 변환하는 방법이다. 이를 통해 딥러닝 기술을 적용한 네트워크 정보보안 분야의 연구 활성화를 기대할 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.10-12
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• 2012

클라우드를 기반으로 한 대용량 데이터의 처리 및 분석의 요구가 커지면서, 대용량 관계형 데이터에 대한 분산 처리의 수요 또한 증가하고 있다. 본 논문은 HDFS를 사용하는 관계형 저장 시스템에서 대용량 데이터를 효율적으로 처리하기 위해 개발한 BST 기반 색인에 대해 설명한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2414-2433
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• 2019

The aim of this paper is to design a 3D laser radar prototype based on laser triangulation. The mathematical model of distance sensitivity is deduced; a pixel-distance conversion formula is discussed and used to complete 3D scanning. The center position extraction algorithm of the spot is proposed, and the error of the linear laser, camera distortion and installation are corrected by using the proposed weighted average algorithm. Finally, the three-dimensional analytic computational algorithm is given to transform the measured distance into point cloud data. The experimental results show that this 3D laser radar can accomplish the 3D object scanning and the environment 3D reconstruction task. In addition, the experiment result proves that the product of the camera focal length and the baseline length is the key factor to influence measurement accuracy.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.985-992
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• 2020

Edge computing is a technology that can prepare for a new era of cloud computing. Edge computing is not a remote data center where data is processed and computed, but low-latency/high-speed computing is realized by adding computing power and data processing power to the edge side close to an access point such as a terminal device or a gateway. It is possible. The types of edge computing include mobile edge computing, fog computing, and cloudlet computing. In this article, we describes existing open source platforms for implementing edge computing nodes. By presenting and comparing the structure, features of open source edge platforms, it is possible to acquire knowledge required to select the best edge platform for industrial engineers who want to build an edge node using an actual open source edge computing platform.