• Title/Summary/Keyword: 오픈소스데이터

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Open-Source-leveraged Modeling for Marine Environment Monitoring (해양환경 모니터링을 위한 오픈소스 기반 모델링)

  • Park, Sun;Cha, ByungRae;Kwon, JinCheol;Kim, JongWon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.716-717
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    • 2017
  • In this paper, we propose a modeling approach for marine environment monitoring by leveraging open-source software to link IoT and Cloud together. The proposed model can be scale out by employing Apache Hadoop-based time-series database so that it can handle collected data increase with a resource pool of the same computers. It can also support the analyze monitored data of marine environment by visualizing collected data.

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A Study on Graph Conversion of Source Code and Its Use in Graph Databases (소스코드의 그래프 변환 및 그래프 데이터베이스에서의 활용에 대한 연구)

  • Seok-Joon Jang;Su-Hyun Kim;Im-Yeong Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.314-316
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    • 2023
  • 최근 수많은 오픈소스로 공개되면서, 대부분의 소프트웨어가 오픈소스를 활용하여 구현되고 있다. 하지만, 오픈소스에 적용되어 있는 라이선스 간의 충돌 문제가 발생하면서, 라이선스 위반 문제가 지속적으로 발생하고 있다. 이러한 문제를 사전에 방지하기 위해 소스코드 분석이 필수적이지만, 다양한 기능이 실행되는 소스코드 특성 상 소스코드만 봤을 경우 직관적으로 분석이 어렵다는 문제점이 있다. 최근 소스코드의 효과적인 분석을 도와주는 다양한 도구들이 개발되었고, 그 중 한 가지 방법은 소스코드를 그래프로 변환하여 시각적인 편의성을 제공하는 방법이다. 그래프로 변환된 소스코드는 해당 시점에는 분석이 가능하지만, 분석이 필요할 때마다 변환을 해야 하는 문제점이 존재한다. 따라서 소스코드를 변환한 그래프 데이터를 저장하는 방법이 요구되었는데, 그래프 데이터베이스의 경우 특정 파일 형식만 지원하기 때문에 그래프 데이터 저장에 어려움이 존재한다. 본 제안방식에서는 소스코드를 변환한 그래프 데이터를 그래프 데이터베이스에 효과적으로 저장하고, 분석이 요구될 때마다 데이터베이스 상에서 즉각적으로 분석이 가능한 방법을 제안한다.

A System Design for Real-Time Monitoring of Patient Waiting Time based on Open-Source Platform (오픈소스 플랫폼 기반의 실시간 환자 대기시간 모니터링 시스템 설계)

  • Ryu, Wooseok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.4
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    • pp.575-580
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    • 2018
  • This paper discusses system for real-time monitoring of patient waiting time in hospitals based on open-source platform. It is necessary to make use of open-source projects to develop a high-performance stream processing system, which analyzes and processes stream data in real time, with less cost. The Hadoop ecosystem is a well-known big data processing platform consisting of numerous open-source subprojects. This paper first defines several requirements for the monitoring system, and selects a few projects from the Hadoop ecosystem that are suited to meet the requirements. Then, the paper proposes system architecture and a detailed module design using Apache Spark, Apache Kafka, and so on. The proposed system can reduce development costs by using open-source projects and by acquiring data from legacy hospital information system. High-performance and fault-tolerance of the system can also be achieved through distributed processing.

A Study on the Identification of Open Source License Compatibility Violations (오픈 소스 라이선스 양립성 위반 식별 기법 연구)

  • Lee, Dong-Gun;Seo, Yeong-Seok
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.12
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    • pp.451-460
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    • 2018
  • Open source software is used in various ways when developing new softwares all around the world. It requires rights and responsibilities as a form of an open source software license. Because the license is a contract between original software developers of the open source software and users, we must follow it and extremely cautious to avoid copyright infringement. In particular, we must verify license compatibility when we develop new software using the existing open source softwares. However, license violation issues always occur and lead to lawsuits so that they are having an adverse effect on the open source software ecosystem. Thus, in this paper, we propose a method, OSLC-Vid, to identify license violations whether compatibility issues exist between open source softwares. The proposed method is verified by the experiments to detect actual license violation cases.

An Empirical Study on Frequently used Python APIs in AI-Related Open Source Python Software Projects (인공지능과 관련된 오픈 소스 파이썬 소프트웨어 프로젝트에서 자주 사용되는 파이썬 API들에 대한 연구)

  • Jungil Kim
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.19-22
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    • 2024
  • 전통 소프트웨어 프로젝트 개발과 AI 관련된 소프트웨어 프로젝트 개발에 큰 차이가 있어서 AI 관련된 소프트웨어 프로젝트 개발 환경을 이해하려는 많은 노력이 있었지만 AI 관련 소프트웨어 프로젝트 개발에서 어떤 API들이 자주 사용되는지에 대해서 아직 충분히 조사되지 않았다. 본 논문에서는 "AI 관련 오픈 소스 소프트웨어 프로젝트에서 어떤 파이썬 API들이 자주 사용되는가?"에 대한 연구 질문의 해답을 알아보는 경험 연구를 소개한다. 이 경험 연구의 결과로 AI 관련 오픈 소스 소프트웨어 프로젝트에서 파이썬 표준 라이브러리와 관려된 API들이 가장 자주 사용된다는 것을 확인했다. 또한 기계 학습을 포함해서 데이터 처리, 이미지 처리, 테스팅, 웹 서비스와 관련된 라이브러리들에 있는 API들도 AI 관련 오픈 소스 소프트웨어 프로젝트들에 자주 사용된다는 것을 알아냈다.

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A Study on the Development of Records Management System Using Open Source Software For Catholic Church (가톨릭교회 오픈소스 기록관리시스템 구축 방안에 관한 연구)

  • Hwang, Ji Min;Lee, Ji-Won
    • Journal of the Korean Society for information Management
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    • v.38 no.1
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    • pp.263-291
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    • 2021
  • This study aims to develop a records management system for catholic churches that use open-source software to ensure systemic management and preservation of sacrament records, which accounts for the highest percentage among all records produced by catholic churches and holds great significance for them. To that end, the researcher analyzed catholic church regulations and reference materials, as well as the websites of open-source software. The researcher also interviewed members at the G Cathedral of the Catholic Archdiocese of Daegu, to examine the current status of records management at catholic churches. Based on the investigation, the researcher designed four layers of metadata and authority data that reflected the characteristics of the sacramental records. Then the design was experimentally implemented using AtoM, an open-source records management system.

3차원 웹 가시화 서비스를 활용한 S-10X 데이터 서비스 구현 및 활용에 관한 연구

  • Kim, Lee-Seul;Kim, Jae-Myeong;Kim, Ji-Yun;Choe, Yun-Su
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2018.05a
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    • pp.106-107
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    • 2018
  • WEBGL 등 실시간 3차원 웹 서비스를 S-10X 데이터 서비스 구현에 활용함으로써 보다 폭넓은 항해정보의 공유방안을 생각하고 실제 플랫폼에 데이터를 시각화함으로써 S-10X 데이터에 활용서비스 모델을 구축하고자 한다. 이를 위하여 CESUIM 같은 오픈소스 프로젝트를 이용함으로써 데이터 시각화 및 구축 이용에 도움을 주고자 한다.

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Performance Comparison and Analysis between Open-Source DBMS (오픈소스 DBMS 성능비교분석)

  • Jang, Rae-Young;Bae, Jung-Min;Jung, Sung-Jae;Soh, Woo-Young;Sung, Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.805-808
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    • 2014
  • The DBMS is a database management software system to access by people. It is an open source DBMS, such as MySQL and commercial services, such as ORACLE. Since MySQL has been acquired by Oracle, MariaDB released increase demand. NoSQL also are increasing, the trend is of interest, depending on the circumstances. Based on the same type of mass data, Depending on the performance comparison between the open source DBMS is required, and The study compared the performance between MariaDB and MongoDB. This paper proposes a DBMS for big data to process.

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Analysis of Open Source Edge Computing Platforms: Architecture, Features, and Comparison (오픈 소스 엣지 컴퓨팅 플랫폼 분석: 구조, 특징, 비교)

  • Lim, Huhnkuk;Lee, Heejin
    • 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.

Security Operation Implementation through Big Data Analysis by Using Open Source ELK Stack (오픈소스 ELK Stack 활용 정보보호 빅데이터 분석을 통한 보안관제 구현)

  • Hyun, Jeong-Hoon;Kim, Hyoung-Joong
    • Journal of Digital Contents Society
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    • v.19 no.1
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    • pp.181-191
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    • 2018
  • With the development of IT, hacking crimes are becoming intelligent and refined. In Emergency response, Big data analysis in information security is to derive problems such as abnormal behavior through collecting, storing, analyzing and visualizing whole log including normal log generated from various information protection system. By using the full log data, including data we have been overlooked, we seek to detect and respond to the abnormal signs of the cyber attack from the early stage of the cyber attack. We used open-source ELK Stack technology to analyze big data like unstructured data that occur in information protection system, terminal and server. By using this technology, we can make it possible to build an information security control system that is optimized for the business environment with its own staff and technology. It is not necessary to rely on high-cost data analysis solution, and it is possible to accumulate technologies to defend from cyber attacks by implementing protection control system directly with its own manpower.