• Title/Summary/Keyword: open source tool

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Development of a Testing Tool to Validate Integrity of a Constructed Cloud System based on OpenStack (오픈스택 기반 클라우드 시스템의 구축 검증 도구)

  • Son, Seokho;Kang, Dong-Jae
    • KIISE Transactions on Computing Practices
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    • v.20 no.12
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    • pp.658-663
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    • 2014
  • Due to the rapid development of open source based Cloud management platforms such as OpenStack, many and various individuals and institutions are trying to construct Cloud computing systems based on open source software projects. It is essential, for those who install, administrate or operate a Cloud, to validate the integrity of the constructed Cloud system. This paper, therefore, proposes the design of a testing tool for validating the integrity of a constructed OpenStack-based Cloud system. Especially, the proposed testing tool utilizes the Tempest project which is an open source project that consists of OpenStack test cases. The proposed testing tool is expected to help developing Cloud technology and Cloud users.

A Tool for Signature-Based Identification of Safe Open-Source Functions Toward Efficient Malware Analysis (악성코드의 효율적인 분석을 위한 안전한 오픈소스 함수에 대한 시그니처 기반 식별 도구)

  • Lee, Seoksu;Yang, Jonghwan;Jung, Woosik;Kim, Yeongcheol;Cho, Eun-Sun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.27 no.4
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    • pp.721-729
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    • 2017
  • In order to take rapid action against malware, efficiency in malware analysis is essential. For instance, it would be helpful to identify and eliminate open-source function bodies or other safe portions out of the target binary codes. In this paper, we propose an tool to create open source dynamic link library files in Windows environment, extract signature information by opensource and compiler version, and compare open source function information to find suspicious function. In addition, the tool can save the information used in the comparison to the DB and use it later, reducing the analysis time overhead.

A Study on Applying the Software Development Methodology as utilize Open-Source Components: A Case of Development a Reporting Tool using MARMI III (오픈소스 컴포넌트 활용에 있어서의 소프트웨어 개발방법론 적용에 관한 탐색적 연구: 마르미-III 방법론을 이용한 웹리포팅툴 개발 사례를 중심으로)

  • Kim, Jong-Bae;Kim, Doo-Yeon;Rhew, Sung-Yul
    • Journal of Information Technology Services
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    • v.5 no.1
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    • pp.149-164
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    • 2006
  • The companies are trying to apply to software development approach by utilizing open-source components. The open-source components are new alternatives to solve limits of the previous software developments such as quality of software, time and cost of development. Accordingly, various analysis of open-source components were performed. However, the researches about the detailed procedures and methods to utilize open-source components in practical industry are immature. In this paper, we propose the procedures and cases for identifying, validating, selecting of suitable open-source components and for applying to change and modification. Proposed procedures and cases will be a great contribution to spread of utilizing the open-source.

Open Source기반 HTML5 Mobile Web Application Platform 구조 분석 및 성능 최적화 방법

  • Im, Sang-Seok
    • Information and Communications Magazine
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    • v.29 no.9
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    • pp.10-17
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    • 2012
  • 본고는 크게 두가지 주제로 구성이된다. 첫번째로는 HTML5 기반의 mobile Web application platform 구조에 대해서 상세히 소개한다. Web application platform은 기술 구조상 mobile OS에 내재되어 native형태로 배포되는 Browser engine을 포함한 platform 부분과 native Web platform 상에서 구동되는 HTML5 application framework 부분으로 구성된다. HTML5 application framework 구축을 위해 시장에서 널리쓰이는 open source로서 jQuery Mobile framework을 소개한다. 두번째로 해당 Web platform상에서 동작하는 Web application 개발시 부디칠 각종 성능 이슈 및 그것을 해결하기 위한 접근법을 다섯가지 기술 영역으로 나누어, 각 영역별로 적용 가능한 실기를 다룬다. 마지막으로 최적화시 사용가능한 각종 open source profiling 및 성능 최적화 tool에 대해서 소개한다.

Cloud-based Satellite Image Processing Service by Open Source Stack: A KARI Case

  • Lee, Kiwon;Kang, Sanggoo;Kim, Kwangseob;Chae, Tae-Byeong
    • Korean Journal of Remote Sensing
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    • v.33 no.4
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    • pp.339-350
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    • 2017
  • In recent, cloud computing paradigm and open source as a huge trend in the Information Communication Technology (ICT) are widely applied, being closely interrelated to each other in the various applications. The integrated services by both technologies is generally regarded as one of a prospective web-based business models impacting the concerned industries. In spite of progressing those technologies, there are a few application cases in the geo-based application domains. The purpose of this study is to develop a cloud-based service system for satellite image processing based on the pure and full open source. On the OpenStack, cloud computing open source, virtual servers for system management by open source stack and image processing functionalities provided by OTB have been built or constructed. In this stage, practical image processing functions for KOMPSAT within this service system are thresholding segmentation, pan-sharpening with multi-resolution image sets, change detection with paired image sets. This is the first case in which a government-supporting space science institution provides cloud-based services for satellite image processing functionalities based on pure open source stack. It is expected that this implemented system can expand with further image processing algorithms using public and open data sets.

GLOVE: Distributed Shared Memory Based Parallel Visualization Tool for Massive Scientific Dataset (GLOVE: 대용량 과학 데이터를 위한 분산공유메모리 기반 병렬 가시화 도구)

  • Lee, Joong-Youn;Kim, Min Ah;Lee, Sehoon;Hur, Young Ju
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.6
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    • pp.273-282
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    • 2016
  • Visualization tool can be divided by three components - data I/O, visual transformation and interactive rendering. In this paper, we present requirements of three major components on visualization tools for massive scientific dataset and propose strategies to develop the tool which satisfies those requirements. In particular, we present how to utilize open source softwares to efficiently realize our goal. Furthermore, we also study the way to combine several open source softwares which are separately made to produce a single visualization software and optimize it for realtime visualization of massiv espatio-temporal scientific dataset. Finally, we propose a distributed shared memory based scientific visualization tool which is called "GLOVE". We present a performance comparison among GLOVE and well known open source visualization tools such as ParaView and VisIt.

Automation Tool Design for PL/SQL Applications Conversion (PL/SQL 응용프로그램 전환을 위한 자동화 도구 설계)

  • Jee, Jungeun;Lee, Jeongkun;Choi, Yongrak;Shin, Yongtae
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.8
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    • pp.287-296
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    • 2018
  • In the recent commercial DBMS market, as the users' burden and complaint which are related to high price licensing policy and late technical support service are increasingly rising, the concern for use of open source DBMS which has no problem with compatibility or stability is escalating. Due to the fact, the cases saving the cost are growing by converting Oracle Corporation's applications, which has about 60% share in the DBMS market, to an open source DBMS. However, in converting non-interchange sentences to an ANSI standard-based open source DBMS because of the use of PL/SQL in Oracle Corporation provides, a lot of manual work accompanies, so there is a lot of loss of time and money. Therefore, a tool that automatically converts PL/SQL to standard SQL is required. The proposed automation tool for the conversion of applications converts PL/SQL to Java Stored Procedure, an open source DBMS-based ANSI standard programming language. Through carrying out a test on the automation tool, it is proved that the tool will contribute to shortening time and saving cost by verifying the identity of input-output data and its reliability after correcting errors in converting to Java Stored Procedure.

A Study on Development of the Spatial Network Analysis Tool based on Open BIM Technologies (개방형 BIM 기반 공간네트워크 분석도구 개발에 관한 연구)

  • Park, Young-Sup
    • Korean Journal of Computational Design and Engineering
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    • v.17 no.1
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    • pp.7-16
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    • 2012
  • One distinguishing feature of BIM(Building Information Modeling) is the objectification of spatial elements independently, which makes it easy to represent spatial network. From this perspective, this study aimed to develop the spatial network analysis tool based on open BIM technologies. From the literature review, an object model of spatial network with nodes and links and a process model from construction to visualization were established. A prototype system implementing the proposed models, named SNAT(Spatial Network Analysis Tool), was developed in Java platform with using its open source packages. SNAT can create a spatial network from IFC-BIM model, calculate the indices of spatial network analysis, and visualize it with the representing types(map, graph, matrix and table).

Open Source Software Security Issues and Applying a Secure Coding Scheme (오픈 소스의 소프트웨어 보안 문제 및 시큐어 코딩 적용방안)

  • Kim, Byoungkuk
    • KIISE Transactions on Computing Practices
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    • v.23 no.8
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    • pp.487-491
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    • 2017
  • Open source software allows the users to freely use, copy, distribute and modify source code without any particular limitations, and this offers the advantages of low entry cost, fast and flexible development, compatibility, reliability and safety. The emergence of many useful open source projects has the advantage of achieving high levels of output with lower costs and time commitment for software development. However, this also increases the risks caused by the security vulnerabilities of the used open source software. There is still no separate process to verify security in using open source software. In this paper, we analyze the security weakness in open source and propose a secure coding scheme in adopting open source, which is known to be highly reliable from a security point of view.

Design and Implementation of Facial Mask Wearing Monitoring System based on Open Source (오픈소스 기반 안면마스크 착용 모니터링 시스템 설계 및 구현)

  • Ku, Dong-Jin;Jang, Joon-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.4
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    • pp.89-96
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    • 2021
  • The number of confirmed cases of coronavirus-19 is soaring around the world and has caused numerous deaths. Wearing a mask is very important to prevent infection. Incidents and accidents have occurred due to the recommendation to wear a mask in public places such as buses and subways, and it has emerged as a serious social problem. To solve this problem, this paper proposes an open source-based face mask wearing monitoring system. We used open source software, web-based artificial intelligence tool teachable machine and open source hardware Arduino. It judges whether the mask is worn, and performs commands such as guidance messages and alarms. The learning parameters of the teachable machine were learned with the optimal values of 50 learning times, 32 batch sizes, and 0.001 learning rate, resulting in an accuracy of 1 and a learning error of 0.003. We designed and implemented a mask wearing monitoring system that can perform commands such as guidance messages and alarms by determining whether to wear a mask using a web-based artificial intelligence tool teachable machine and Arduino to prove its validity.