• Journal of Information Processing Systems
• /
• v.14 no.6
• /
• pp.1398-1404
• /
• 2018

High-performance computing (HPC) provides to researchers a powerful ability to resolve problems with intensive computations, such as those in the math and medical fields. When an HPC platform is provided as a service, users may suffer from unexpected obstacles in developing and running applications due to restricted development environments and dependencies. In this context, operating system level virtualization can be a solution for HPC service to ensure lightweight virtualization and consistency in Dev-Ops environments. Therefore, this paper proposes three types of typical HPC structure for container environments built with HPC container and Docker. The three structures focus on smooth integration with existing HPC job framework, message passing interface (MPI). Lastly, the performance of the structures is analyzed with High Performance Linpack benchmark from the aspect of performance degradation in network communications under Docker.

• Electronics and Telecommunications Trends
• /
• v.35 no.2
• /
• pp.28-37
• /
• 2020

Recently, the focus of research interest in artificial intelligence technology has shifted from algorithm development to application domains. Industrial sectors such as smart manufacturing, transportation, and logistics venture beyond automation to pursue digitalization of sites for intelligence. For example, smart manufacturing is realized by connecting manufacturing sites, autonomous reconfiguration, and optimization of manufacturing systems according to customer requirements to respond promptly to market needs. Currently, KSB Convergence Research Department is developing BeeAI-an on-site end-to-end intelligence platform. BeeAI offers end-to-end service pipeline configuration and DevOps technologies that can produce and provide intelligence services needed on-site. We are hopeful that in future, the BeeAI technology will become the base technology at various sites that require automation and intelligence.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.10 no.2
• /
• pp.105-113
• /
• 2022

Purpose - An increase in automation has been as a result of digital technologies. The data will be instrumental in the determination of the services that are more necessary so that more resources can be allocated for them. The purpose of the current research is to investigate how big data utilization will help increase the profitability in the industry 4.0 era. Research design, Data, and methodology - The present research has conducted the comprehensive literature content analysis. Quantitative approaches allow respondents to decide, but qualitative methods allow them to offer more information. In the next step, respondents are given data collection equipment, and information is collected. Result - The According to qualitative literature analysis, there are five ways in which big data utilization will help increase the profitability in the industry 4.0 era. The five solutions are (1) Better Customer Insight, (2) Increased Market Intelligence, (3) Smarter Recommendations and Audience Targeting, (4) Data-driven innovation, (5) Improved Business Operations. Conclusion - Modern companies have been seeking a competitive advantage so that they can have the edge over other companies in the same industries providing the same services and products. Big data is that technology that businesses have always wanted for an extended period of time to revolutionize their operations, making their businesses more profitable.

• Proceedings of the KSAR Conference
• /
• 2003.06a
• /
• pp.83-83
• /
• 2003

돼지 난자의 유리화 동결 처리 방법 중 난자를 담는 용기(loading vessel)의 재료로 최근에 알려진 것으로 open-pulled straws(OPS)[Vajta등, Mol Reprod Dev, 51:53-58, (1998)], electron microscope grids(EMG) [Martino등,Biol Reprod, 54:1059-1069, (1996)〕, nylon loop system(NLS) [Lane등, Fertil Steril,72: 1073-1078, (1999)] 등이 보고되고 있다. OPS는 1/4cc straws를 열을 가하여 길게 뽑아 내벽을 얇게 함으로써 filing된 난자나 수정란이 액체 질소와 접촉했을 때 유리화가 신속하게 되도록 하는 방법으로 돼지에서는 별로 보고된 것이 없다. EMG는 열전도가 예민한 전자현미경용 copper grid를 이용한 방법으로 최근 국내 기술진의 연구성적을 포함한 몇몇 학자들에 의하여 보고되었고 NLS는 0.5mm직경의 nylon loop를 이용하여 급속 동결한 성적이 보고되었으나, 돼지 난자에 응용 된 것은 없다. 따라서 이와 같은 동결 재료는 사람과 반추류, mouse외에 돼지 난자에 대하여는 전혀 시도되지 않았지만 유리화 동결기술에서 가장 중요한 실험으로 생각된다. 성공적인 유리화 동결을 위해서는 수정란이 냉각의 전도성이 빠르고, 작은 용액을 수정란과 같이 filling해야 하며 모든 동작이 신속 간편해야 하며 융해 방법도 초급속도의 융해가 요구되므로 이에 부합되어야 한다. 연구 목적은 돼지 난자를 유리화 동결/융해 시 동결 재료-straw/glass, copper grid, nylon 3가지에 대한 제작 방법, 난자 loading, 동결 처리, 보관 방법, 융해 방법 등을 난자의 회수, 수정 후 생존율을 비교 조사하여 가장 우수한 방법을 선택할 목적이었다. 수행 내용은 3가지의 재료의 sample을 제작하고 소독한 다음 준비된 돼지 COCs을 40시간동안 IVM한 후 난자를 5~l5개 정도로 선정 하여 준비된 VS 용액에 평형처리 하였다. 각 재료의 용기에 loading 한 후 동결/보관하였고, 융해는 역순으로 평형하여 maturation 배지에 3~4시간 배양한 다음 경검하고 IVF한 후 NCSU-23 배지에 담아 IVC 배양하면서 cell cleavage상태를 확인하였다.

• KIISE Transactions on Computing Practices
• /
• v.23 no.3
• /
• pp.171-176
• /
• 2017

Recently, several information-technology research projects such as those for high-performance computing, the cloud service, and the DevOps methodology have been advanced to develop the efficiency of satellite data-processing systems. In March 2019, the Geostationary Ocean Color Imager II (GOCI-II) will be launched for its predictive capability regarding marine disasters and the management of the fishery environment; moreover, the GOCI-II Ground Segment (G2GS) system for data acquisition/processing/storing/distribution is being designed at the Korea Ocean Satellite Center (KOSC). The G2GS is composed of the following six functional subsystems: data-acquisition subsystem (DAS), data-correction subsystem (DCS), precision-correction subsystem (PCS), ocean data-processing subsystem (ODPS), data-management subsystem (DMS), and operation and quality management subsystem (OQMS). The G2GS will enable the real-time support of the GOCI-II ocean-color data for government-related organizations and public users.

• The Korean Journal of Archival Studies
• /
• no.60
• /
• pp.283-315
• /
• 2019

The emergence of new business models software industry is demanding a change to technology that can cope quickly and flexibly. In this regard, microservices, which is being addressed as the architecture of the next-generation record management system, has emerged as an agile and convenient architecture. If record-management system with micro-service is developed, agility and expandability with basement of innovation can be ensured. The purpose of study is to suggest efficient ways when record-management system with micro-service is built. For this, tranditional architecture has been checked and main features of micro-service have been explained. Also, it was summarized that three points : 'Short history of micro-service', 'Maturity of technology' and 'Techical level of project team' have to be reviewed when record-management system with micro-service architecture is built. And we suggested some issues to consider when constructing the records management system applying microservices according to the domestic environment.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.3
• /
• pp.25-31
• /
• 2022

The purpose of this study is to explore the implications for the systematic operation of the AI curriculum by analyzing the current status of the AI major curriculum in universities. To this end, This study analyzed the relevant curriculum of domestic universities(a total of 51 schools) and overseas QS Top 10 universities based on the industry demand-based standard of AI major curriculum developed through prior research. The main research results are as follows. First, in the case of domestic universities, Python-centered programming subjects were lacking. Second, there were few subjects for advanced learning such as AI application and convergence. Third, the subjects required to perform the AI developer job were insufficient. Fourth, in the case of colleges, the ratio of AI mathematics-related subjects was low. Based on these results, this study presented implications for the systematic operation of the AI major education.

• The Journal of Bigdata
• /
• v.8 no.2
• /
• pp.55-71
• /
• 2023

Cloud Native refers to the Technical Maturity Level of a cloud environment that can utilize all cloud resources to fully function. In converting public sector information resources to the cloud, the characteristics of the cloud are not being used well. Therefore, in this study, the qualitative research method cloud expert interview technique and the quantitative research method used text network analysis for domestic and foreign related articles. Through this, we analyzed the utilization trends related to domestic and foreign cloud natives and the cloud policies of developed countries. Through previous research, the core components of cloud-native were examined, and the need for agile methodologies that were not addressed in previous studies was raised. It is believed that these core components will be applied in the public sector to contribute to business innovation through digital innovation. In addition, this study aims to provide important implications for the use of cloud native in Korea through an in-depth discussion on how to spread cloud native in the public sector.