• Journal of Technology Innovation
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• v.23 no.2
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• pp.33-54
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• 2015

Supercomputing performance demand forecasting at the national level is an important information to the researchers in fields of the computational science field, the specialized agencies which establish and operate R&D infrastructure, and the government agencies which establish science and technology infrastructure. This study derived the factors affecting the scientific and technological capability through the analysis of supercomputing performance prediction research, and it proposed a hybrid forecasting model of applying the super-computer technology trends. In the cross-sectional analysis, multiple regression analysis was performed using factors with GDP, GERD, the number of researchers, and the number of SCI papers that could affect the supercomputing performance. In addition, the supercomputing performance was predicted by multiplying in the cross-section analysis with technical progress rate of time period which was calculated by time series analysis using performance(Rmax) of Top500 data. Korea's performance scale of supercomputing in 2016 was predicted using the proposed forecasting model based on data of the top500 supercomputer and supercomputing performance demand in Korea was predicted using a cross-sectional analysis and technical progress rate. The results of this study showed that the supercomputing performance is expected to require 15~30PF when it uses the current trend, and is expected to require 20~40PF when it uses the trend of the targeting national-level. These two results showed significant differences between the forecasting value(9.6PF) of regression analysis and the forecasting value(2.5PF) of cross-sectional analysis.

• Smart Media Journal
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• v.10 no.2
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• pp.110-118
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• 2021

The Internet of Things (IoT) technology, a key growth engine of the 4th industrial revolution, has grown to a stage where it can autonomously communicate with each other and process data according to space and circumstances. Accordingly, the IT infrastructure becomes increasingly complex and the importance of the monitoring field for maintaining the system stably is increasing. Monitoring technology has been used in the past, but there is a need to find a flexible monitoring system that can respond to the rapidly changing ICT technology. This paper conducts research on designing and testing an open source-based Prometheus monitoring system. We builds a simple infrastructure based on IoT devices and collects data about devices through the Exporter. Prometheus collects data based on pull and then integrates into one dashboard using Grafana and visualizes data to monitor device information.

• Journal of Appropriate Technology
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• v.6 no.2
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• pp.146-150
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• 2020

Assistive technologies for people with disabilities are often marginalized in the Fourth Industrial Revolution. In this paper, we intend to present the possibility of acquiring tactile information through the tactile display adapting an electromagnetic actuator. The multi-layered display designed for tactile communication has innovatively narrowed the size and spacing of cells in order to express pictures, maps, and graphics. This display has enabled the visually impaired to touch two-dimensional information combining with other assistive technologies so that. It would also provide a technical source of access to STEM education (Science, Technology, Engineering, and Mathematics) so that students will perform better and be better prepared for advanced education. Moreover, it can be applied to public infrastructure and transportation in smart-city projects on the globe. Hence, this paper introduces the principle of Electromagnetic-actuator and how it can be utilized in many diverse areas.

• Journal of KIISE:Information Networking
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• v.33 no.3
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• pp.218-230
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• 2006

The enterprise service network is composed of internet, intranet and DMZ. The design rationale of Mobile IP is providing of seamless mobility transparency without regarding to the type of network topology and services. However, Mobile IP specification does not include the mobility support in case of using VPN environment and define the access scenarios to get into the VPN intranet without disturbing existing security policy. In this paper, we propose an authentication method using AAA infrastructure and keying material exchange to enable an user in internet to be able to access the intranet through the VPN gateway. Finally, performance analysis for the proposed scheme is provided.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.5
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• pp.111-124
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• 2010

AMI (Advanced Metering Infrastructure) is a core infrastructure of Smart Grid, and is promoting in various country. Wireless network is considered for cost savings and operational efficiencies in AMI. But various security problems are expected in wireless networks of AMI, so we should solve these problems. In this paper, we suggest a wireless network of AMI by using Binary CDMA and security countermeasures of AMI wireless network. Proposed security architecture is using BSIM (Binary Subscriber Identity Module) to perform user authentication and key agreement for the encryption and decryption over radio network to reduce security threats.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.433-435
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• 2022

In this paper, we introduce a computing resource standard metadata schema design plan for registering, retrieving, and managing computing resources used for research data analysis and utilization in the Korea Research Data Commons(KRDC). KRDC is a joint utilization system of research data and computing resources to maximize the sharing and utilization of research data. Computing resources refer to all resources in the computing environment, such as analysis infrastructure and analysis software, necessary to analyze and utilize research data used in the entire research process. The standard metadata schema for KRDC computing resource management is designed by considering common attributes for computing resource management and other attributes according to each computing resource feature. The standard metadata schema for computing resource management consists of a computing resource metadata schema and a computing resource provider metadata schema. In addition, the metadata schema of computing resources and providers was designed as a service schema and a system schema group according to their characteristics. The standard metadata schema designed in this paper is used for computing resource registration, retrieval, management, and workflow services for computing resource providers and computing resource users through the KRDC web service, and is designed in a scalable form for various computing resource links.

• Journal of KIISE
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• v.42 no.5
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• pp.573-579
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• 2015

Nationwide supercomputing infrastructures in Korea consist of geographically distributed supercomputing clusters. We developed High-Throughput Computing as a Service(HTCaaS) based on these distributed national supecomputing clusters to facilitate the ease at which scientists can explore large-scale and complex scientific problems. In this paper, we present our mechanism for dynamically managing computing resources and show its effectiveness through a case study of a real scientific application called drug repositioning. Specifically, we show that the resource utilization, accuracy, reliability, and usability can be improved by applying our resource management mechanism. The mechanism is based on the concepts of waiting time and success rate in order to identify valid computing resources. The results show a reduction in the total job completion time and improvement of the overall system throughput.

• Smart Media Journal
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• v.10 no.1
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• pp.99-107
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• 2021

In addition to the 4th Industrial Revolution and Industry 4.0, the recent megatrends in the ICT field are Big-data, IoT, Cloud Computing, and Artificial Intelligence. Therefore, rapid digital transformation according to the convergence of various industrial areas and ICT fields is an ongoing trend that is due to the development of technology of AI services suitable for the era of the 4th industrial revolution and the development of subdivided technologies such as (Business Intelligence), IA (Intelligent Analytics, BI + AI), AIoT (Artificial Intelligence of Things), AIOPS (Artificial Intelligence for IT Operations), and RPA 2.0 (Robotic Process Automation + AI). This study aims to integrate and advance various machine learning services of infrastructure-side GPU, CDA (Connected Data Architecture) framework, and AI based on mass distributed Abyss storage in accordance with these technical situations. Also, we want to utilize AI business revenue model in various industries.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.9
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• pp.1081-1094
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• 2016

KREONET is a principal national R&E network running by KISTI in Korea. It uniquely provides production research network services for around 200 non-profit research and educational organizations, based on hybrid (IP and non-IP) network infrastructure. However, KREONET is limited to meet various needs of new network services for advanced Science & Technology (S&T) users because its infrastructure is inherently derived form classical hardware-based, fixed and closed environments. So, KREONET-S is designed to provide advanced S&T services to catch up with time-to-research and time-to-collaboration. In this paper, we present a system architecture of KREONET-S based on network infrastructure that consists of data and control planes separately. Furthermore, we propose and describe VDN service which is capable of building a virtual dedicate & bandwidth-guaranteed network for S&T group dynamically. we implement VDN application on KREONET-S and then perform performance analysis for proving that KREONET-S system and VDN application can be a good solutions to cope with new network paradigms for various advanced S&T applications and users.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.10a
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• pp.42-42
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• 2019

한국생명공학연구원은 1985년 설립된 이후로 현재까지 국가적 연구개발 수요에 대응하여 바이오 분야의 기초 원천 연구, 인프라 구축 및 운영을 통하여 우리나라 생명과학기술 발전에 힘써왔다. 특히 2006년부터는 해외생물자원의 중요성에 주목하여 차세대 국가 핵심 전략 BT산업의 필수 원자재인 생물소재의 범지구적 확보, 보존 및 관리를 위하여 해외생물소재센터를 설치하였다. 이후 차례로 중국, 코스타리카, 인도네시아, 베트남의 4개 거점 센터를 개소 및 운영하여 권역별 해외생물소재의 공동연구 및 국제협력 네트워크를 구축하고 효과적인 소재 확보 및 관리를 도모하고 있다. 이와 같이 확보된 소재는 36개국에서 채집된 약 318과 3,406속의 36,500여점 (2019년 9월 기준)에 달하고 소재의 확증표본은 해외생물소재센터 식물표본관(KRIB)에 보관 중이다. KRIB표본관은 2000년 Index Herbariorum에 등록되었으며, 약 80,000여점의 건조표본을 소장하고 있다. 분류군수는 과별로 콩과>국화과>꼭두서니과 순으로 많았으며, 국가별로는 중국>베트남>코스타리카 순으로 조사되었다. 한국생명공학연구원 해외생물소재센터 및 식물표본관은 소재의 정확한 동정을 위한 분류학적 시설로서의 역할뿐 아니라 누구에게나 개방된 홈페이지를 통하여 해외소재의 표본정보, 표본이미지 및 민속학적 정보와 활성 등 가치 있는 정보를 제공하여 연구자들에게 다양한 활용지원 서비스를 제공하고 있다.