• Title/Summary/Keyword: Computer Use

Search Result 10,207, Processing Time 0.042 seconds

A Use Case Modeling of Telecommunication Network Fault Correction for the Component-Based Software Development (TMN 컴포넌트 기반 소프트웨어 개발을 위한 망 장애해결 Use Case 모델링)

  • Kim, Hyo-Soo;Shin, Jeong-Gyll;Lee, Yong-Kwon;Baek, Cheong-Ho
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2003.05b
    • /
    • pp.751-754
    • /
    • 2003
  • 통신산업환경의 변화 즉 통신시장의 개방화, 글로벌화 및 경쟁체제의 돌입으로 통신사업자는 기존의 단위시설의 운용관리 개념에서 네트워크관리, 서비스관리, 사업관리개념으로 통합 발전되고 있는 국제 표준권고의 통신망의 운용 경영 방식인 TMN(Telecommunications Management Network)에 부합한 개방형 운용정보공유 및 일원화된 통신망 운용관리시스템 구축 및 관리로 전환하려는 추세이다. 본 연구에서는 TMN 컴포넌트 기반 소프트웨어 개발을 위한 망 장애 해결 Use Case 모델링을 설계하였다.

  • PDF

A Method for Caption Segmentation using Minimum Spanning Tree

  • Chun, Byung-Tae;Kim, Kyuheon;Lee, Jae-Yeon
    • Proceedings of the IEEK Conference
    • /
    • 2000.07b
    • /
    • pp.906-909
    • /
    • 2000
  • Conventional caption extraction methods use the difference between frames or color segmentation methods from the whole image. Because these methods depend heavily on heuristics, we should have a priori knowledge of the captions to be extracted. Also they are difficult to implement. In this paper, we propose a method that uses little heuristics and simplified algorithm. We use topographical features of characters to extract the character points and use KMST(Kruskal minimum spanning tree) to extract the candidate regions for captions. Character regions are determined by testing several conditions and verifying those candidate regions. Experimental results show that the candidate region extraction rate is 100%, and the character region extraction rate is 98.2%. And then we can see the results that caption area in complex images is well extracted.

  • PDF

Machine Learning Based Keyphrase Extraction: Comparing Decision Trees, Naïve Bayes, and Artificial Neural Networks

  • Sarkar, Kamal;Nasipuri, Mita;Ghose, Suranjan
    • Journal of Information Processing Systems
    • /
    • v.8 no.4
    • /
    • pp.693-712
    • /
    • 2012
  • The paper presents three machine learning based keyphrase extraction methods that respectively use Decision Trees, Na$\ddot{i}$ve Bayes, and Artificial Neural Networks for keyphrase extraction. We consider keyphrases as being phrases that consist of one or more words and as representing the important concepts in a text document. The three machine learning based keyphrase extraction methods that we use for experimentation have been compared with a publicly available keyphrase extraction system called KEA. The experimental results show that the Neural Network based keyphrase extraction method outperforms two other keyphrase extraction methods that use the Decision Tree and Na$\ddot{i}$ve Bayes. The results also show that the Neural Network based method performs better than KEA.

A Comparative Study of Medical Data Classification Methods Based on Decision Tree and System Reconstruction Analysis

  • Tang, Tzung-I;Zheng, Gang;Huang, Yalou;Shu, Guangfu;Wang, Pengtao
    • Industrial Engineering and Management Systems
    • /
    • v.4 no.1
    • /
    • pp.102-108
    • /
    • 2005
  • This paper studies medical data classification methods, comparing decision tree and system reconstruction analysis as applied to heart disease medical data mining. The data we study is collected from patients with coronary heart disease. It has 1,723 records of 71 attributes each. We use the system-reconstruction method to weight it. We use decision tree algorithms, such as induction of decision trees (ID3), classification and regression tree (C4.5), classification and regression tree (CART), Chi-square automatic interaction detector (CHAID), and exhausted CHAID. We use the results to compare the correction rate, leaf number, and tree depth of different decision-tree algorithms. According to the experiments, we know that weighted data can improve the correction rate of coronary heart disease data but has little effect on the tree depth and leaf number.

Guidelines on Effective Metaphor Construction applied Gestalt Principles Underlying Conceptual Model in User Interface (사용자 인터페이스에서의 개념모델에 근거하여 게스탈트 원리를 활용한 효과적인 메타포 구축을 위한 지침)

  • Kim, Sung-Yeon
    • Journal of the Korea Computer Industry Society
    • /
    • v.9 no.2
    • /
    • pp.83-92
    • /
    • 2008
  • Throughout the history of computer use, the interface metaphor has been employed to make computers easier for humans to use. Even the earliest command line interfaces used metaphor. Metaphors in user interfaces help to make the software accessible to users and allow the users to communicate with the system as well. User interface guidelines for most of the popular operating systems encourage the use of metaphors in interface design. Thus, metaphor in interface design is employed as central element with a long history. Therefore, this paper will suggest substantiating guidelines which are based on conceptual model and Gestaltprinciples for successful metaphor construction with a better user interface.

  • PDF

Design and Implementation of HTML5 based Authoring Tool for Audio-Visual Book (HTML5 기반스토리텔링 비디오북 저작 툴의 설계/구현)

  • Kim, Tae-hyun;Shim, Jae-Youn;Kim, Seong-Whan
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2013.11a
    • /
    • pp.1442-1445
    • /
    • 2013
  • Portable devices are growth such as smart phone and smart pad and e-book market is also growing, but existing publishers have some problem of conversion paper book to e-book with technology. In this paper propose to solve this problem using HTML5 for E-book making tool. HTML5 is new version of HTML. It can be use video and audio element. Also a lot of web Browser can be use HTML5 format. If we have HTML5 compatible browser devices, we can use anywhere and anytime. We propose video book making tool using these HTML5 characteristics, it is available to support of text or images.

Experience of Theory and Practice of the Process of Implementing Information Technologies in the Educational Environment

  • Melnyk, Yaroslav;Drapak, Halyna;Sverdlyk, Zoriana;Tsilyna, Maryna;Varenko, Volodymyr;Boichuk, Nelia
    • International Journal of Computer Science & Network Security
    • /
    • v.21 no.4
    • /
    • pp.75-79
    • /
    • 2021
  • The article covered theoretical aspects use of information and communication technologies in teaching. Information and communication technologies are technologies that allow you to search, process and assimilate information from various sources, including the Internet. This is the presentation of information in electronic form, its processing and storage, the use of the computer, a variety of programs. The use of information and communication technologies in the work of a student gives an increase in motivation for learning; increased cognitive interest; evaluate their learning activities, identify the problems of their own educational activities; the formation of cognitive independence of students.

Plastic Pandemic caused by COVID-19; Based on Market Price of Recyclable Resources

  • Lee, Da Hye;Chang, In Hong;Kim, Youn Su
    • Journal of Integrative Natural Science
    • /
    • v.13 no.4
    • /
    • pp.158-169
    • /
    • 2020
  • Modern people live in the age of plastics. It has been widely used due to its easy molding processing, mass production, and excellent durability. However, over-produced plastics for convenience cause plastic disasters and adversely affect the ecosystem. Since the COVID-19 outbreak, the use of single-use plastic waste due to the use of delivery services has increased. The COVID-19 pandemic has caused a plastic pandemic. Currently, domestic recycling policies depend only on recycling collection companies and market prices of recyclable resources. This paper confirms whether the outbreak of COVID-19 has affected the price of plastic waste. It also shows that the price of plastic waste is more unstable than metals with a high recycling rate. This urges businesses to share the cost of recycling on plastic waste, no longer being dependent on market prices for recyclable resources.

FRRmalloc : Efficient Use-After-Free prevention based on One-time-allocation and batch remapping (FRRmalloc:일회성 할당 및 리매핑 기반의 효율적인 Use-After-Free 방지)

  • Jeong-Hoon Kim;Yeong-Pil Cho
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2024.05a
    • /
    • pp.386-388
    • /
    • 2024
  • UAF(Use-After-Free)는 heap 영역에서 메모리 오염을 발생시킬 수 있는 취약점이다. UAF를 방지하기 위해 다양한 방법으로 관련 연구가 활발히 이루어지고 있지만, 아직까지 여러 오버헤드 측면에서 모두 좋은 성능을 발휘한 결과는 나오지 않고 있다. 할당자 수준에서의 수정을 통하여, UAF 취약점 방어를 보장하는 동시에 높은 성능과 낮은 오버헤드를 발생시킬 수 있는 방법을 제시한다. 본 논문에서는 UAF 취약점 및 관련 연구를 소개하고, 이를 기반으로 UAF 취약점에 대처할 수 있는 방법을 제시한다.

Analyze trends in Use-After-Free bug detection and blocking research (Use-After-Free 버그 탐지 및 예방 연구 동향 분석)

  • Jin-Hwan Kim;Yeong-Pil Cho
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2024.05a
    • /
    • pp.222-225
    • /
    • 2024
  • 전통적 프로그래밍 언어인 C/C++는 시스템 프로그래밍 언어로 널리 사용되고 있으며, 이는 저수준 메모리 제어와 하드웨어 상호작용 등의 특성 때문이다. 하지만 C/C++가 가지고 있는 특성중 하나인 저수준 메모리 제어는 프로그래머가 직접 메모리를 관리해야한다. 다양한 메모리 버그들중에서 특히 Use-after-free버그는 오래전부터 현재까지 해결되지 않은 버그로써 존재하고 있으며, 이는 프로그래머가 수동으로 메모리를 관리함으로써 발생한다. 이 버그를 예방 및 감지하기 위한 연구가 현재까지도 활발하게 진행되고 있다. 이 버그를 차단 및 감지하는 연구들의 동향을 분석하여 앞으로의 관련 연구의 지속적인 필요성을 제시한다.