• Title/Summary/Keyword: 연구리소스

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A Study of User Interests and Tag Classification related to resources in a Social Tagging System (소셜 태깅에서 관심사로 바라본 태그 특징 연구 - 소셜 북마킹 사이트 'del.icio.us'의 태그를 중심으로 -)

  • Bae, Joo-Hee;Lee, Kyung-Won
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.826-833
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    • 2009
  • Currently, the rise of social tagging has changing taxonomy to folksonomy. Tag represents a new approach to organizing information. Nonhierarchical classification allows data to be freely gathered, allows easy access, and has the ability to move directly to other content topics. Tag is expected to play a key role in clustering various types of contents, it is expand to network in the common interests among users. First, this paper determine the relationships among user, tags and resources in social tagging system and examine the circumstances of what aspects to users when creating a tag related to features of websites. Therefore, this study uses tags from the social bookmarking service 'del.icio.us' to analyze the features of tag words when adding a new web page to a list. To do this, websites features classified into 7 items, it is known as tag classification related to resources. Experiments were conducted to test the proposed classify method in the area of music, photography and games. This paper attempts to investigate the perspective in which users apply a tag to a webpage and establish the capacity of expanding a social service that offers the opportunity to create a new business model.

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A Study on Tag Clustering for Topic Map Generation in Web 2.0 Environment (Web2.0 환경에서의 Topic Map 생성을 위한 Tag Clustering에 관한 연구)

  • Lee, Si-Hwa;Wu, Xiao-Li;Lee, Man-Hyoung;Hwang, Dae-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.525-528
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    • 2007
  • 기존의 웹서비스가 정적이고 수동적인데 반해 최근의 웹 서비스는 점차 동적이고 능동적으로 변화하고 있다. 이러한 웹서비스 변화의 흐름을 잘 반영하는 것이 웹 2.0이다. 웹 2.0에서 대부분의 정보는 사용자에 의해 생산되고, 사용자가 붙인 태그(tag)에 의해 분류되어진다. 그러나 현재 태그에 관한 서비스 및 연구들은 태깅(tagging) 방법에 대한 연구를 비롯해 이를 표현하기 위한 tag cloud에 초점이 맞춰져 진행됨에 따라, 다양한 태그 정보자원 간의 체계와 연결 관계인 지식체계를 제공하지 못하고 있다. 이에 본 논문에서는 체계화된 지식표현을 위해 웹상에 편재되어 있는 학습 관련 리소스(resources) 및 태그들를 수집한다. 이를 사용자가 요청한 검색 키워드와 연관성이 있는 태그 정보들을 맵핑 및 클러스터링하여 최적화된 표현 형식인 토픽 맵(topic map)화하기 위한 시스템을 제안하며, 이 중 토픽 맵 생성을 위한 초기 연구 단계로서, 연관 태그들 간의 맵핑 및 클러스터링을 위한 알고리즘 제시를 중심으로 소개한다.

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Network function virtualization (NFV) resource allocation (RA) scheme and research trend (네트워크기능 가상화 (NFV) 자원할당 (RA) 방식과 연구동향)

  • Kim, Hyuncheol;Yoon, Seunghyun;Jeon, Hongseok;Lee, Wonhyuk
    • Convergence Security Journal
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    • v.16 no.7
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    • pp.159-165
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    • 2016
  • Through the NFV (Network Function Virtualization), companies such as network service providers and carriers have sought to dramatically reduce CAPEX / OPEX by improving the speed of new service provisioning and flexibility of network construction through the S/W-based devices provided by NFV. One of the most important considerations for establishing an NFV network to provide dynamic services is to determine how to dynamically allocate resources (VNFs), the basic building blocks of network services, in the right place. In this paper, we analyzed the latest research trends on VNF node, link allocation, and scheduling in nodes that are required to provide arbitrary NS in NFV framework. In this paper, we also propose VNF scheduling problems that should be studied further in RA (Resource Allocation).

Research Trends and Considerations for Blockchain-based IoT Cloud Systems (블록체인 기반 IoT 클라우드 시스템에 대한 연구동향 및 고찰)

  • Kim, Tae Woo;Park, Jong Hyuk
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.349-352
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    • 2020
  • 클라우드는 가상화 기술을 사용한 리소스의 유연성과 뛰아난 접근성을 장점으로 빅데이터, 딥러닝 등 여러 분야에서 클라우드를 사용하고 있다. 최근 클라우드와 결합된 IoT 시스템을 통해 시스템 관리, 데이터 처리 및 저장, 데이터를 이용한 빅데이터 활용 등 여러 방법으로 사용 할 수 있어 많은 관심을 받고 있다. 그러나 IoT 클라우드의 많은 활용에 따라 대규모 시스템화, 여러 사용자의 개인정보 저장 등의 이유로 많은 공격자의 표적이 되고있다. 여러 공격자의 공격을 방아하기 위해 IoT 클라우드 시스템은 블록체인, 보안 IoT 디바이스, 변형된 클라우드 모델등 여러 연구가 진행되고 있다. 본 논문에서는 최근 연구되고 있는 블록체인, 클라우드, IoT 시스템의 동향에 대해 조사하고, 기존에 연구되었던 기술을 바탕으로 효과적인 블록체인 기반의 IoT 클라우드 시스템을 제안한다. 제안하는 IoT 클라우드 시스템은 블록체인 기술을 사용하여 보안정책을 관리할 수 있어 신뢰성이 높으며, 클라우드 시스템이 작동하지 않을 경우 페일오버 기능을 수행할 수 있어 가용성이 뛰어나다.

Radix-2 16 Points FFT Algorithm Accelerator Implementation Using FPGA (FPGA를 사용한 radix-2 16 points FFT 알고리즘 가속기 구현)

  • Gyu Sup Lee;Seong-Min Cho;Seung-Hyun Seo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.34 no.1
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    • pp.11-19
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    • 2024
  • The increased utilization of the FFT in signal processing, cryptography, and various other fields has highlighted the importance of optimization. In this paper, we propose the implementation of an accelerator that processes the radix-2 16 points FFT algorithm more rapidly and efficiently than FFT implementation of existing studies, using FPGA(Field Programmable Gate Array) hardware. Leveraging the hardware advantages of FPGA, such as parallel processing and pipelining, we design and implement the FFT logic in the PL (Programmable Logic) part using the Verilog language. We implement the FFT using only the Zynq processor in the PS (Processing System) part, and compare the computation times of the implementation in the PL and PS part. Additionally, we demonstrate the efficiency of our implementation in terms of computation time and resource usage, in comparison with related works.

A Study on the Emotion Analysis of Instagram Using Images and Hashtags (이미지와 해시태그를 이용한 인스타그램의 감정 분석 연구)

  • Jeong, Dahye;Gim, Jangwon
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.9
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    • pp.123-131
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    • 2019
  • Social network service users actively express and share their feelings about social issues and content of interest through postings. As a result, the sharing of emotions among individuals and community members in social network is spreading rapidly. Therefore, resulting in active research of emotion analysis on posting of users. However, There is insufficient research on emotion analysis for postings containing various emotions. In this paper, we propose a method that analyzes the emotions of an Instagram posts using hashtags and images. This method extracts representative emotion from user posts containing multiple emotions with 66.4% accuracy and 81.7% recall, which improves the emotion classification performance compared to the previous method.

IT Content Marketing(ICM) Communication for Solo Entrepreneurship (1인 창업을 위한 IT 콘텐츠마케팅(ICM) 커뮤니케이션)

  • Seung-Young Jang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.5
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    • pp.885-894
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    • 2023
  • This study investigates and analyzes various marketing models that can overcome the economic challenges and resource scarcity faced by solo entrepreneurs. Previous research primarily focused on the integrated marketing communication (IMC) model, resulting in a lack of comprehensive discussion. In this study, we emphasized the IT content marketing communication model, considering a holistic analysis and the changing roles over time. As a result, we were able to propose a new strategic approach by integrating the ICM community model into a convergent value chain, improving the IMC model and promoting brand growth and online presence enhancement. This has laid the foundation for effectively increasing brand awareness and provided specific guidelines to support the sustained growth of solo entrepreneurship.

Research of Mobile 3D Dance Contents Construction Using Motion Capture System (모션캡처 시스템을 이용한 모바일 3D 댄스 콘텐츠 제작 연구)

  • Kim Nam-Ho
    • The Journal of the Korea Contents Association
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    • v.6 no.9
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    • pp.98-107
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    • 2006
  • By improving performance of mobile machine(3D engine, 3D accelerator chip set, etc) and developing wireless network technology, a demand for actual contents of users is being increased rapidly. But, there are some difficulties yet for the speedy development of actual contents because of the limitation of development resources that is dependent on each mobile device's different performance. In general, much of the animated character-creation work for mobile environment is still done manually by experienced animator with the method of key frame processing. However, it needs a lot of time and more costs for creating motion. Additionally, it is possible to cause a distortion of motion. In this paper, I solved the difficulties by using a optical motion capture system, it was able to acquire accurate motion data more easily and quickly, and then it was possible to make 3D dance contents efficiently. Also, I showed techniques of key reduction and controlling frame number for using huge amounts of motion capture data in mobile environment which requires less resources. In making 3D dance contents, using an optical motion capture system was verified that it was more efficient to make and use actual-reality contents by creating actual character motion and by decreasing processing time than existing method.

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Operation Technique of Spatial Data Change Recognition Data per File (파일 단위 공간데이터 변경 인식 데이터 운영 기법)

  • LEE, Bong-Jun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.4
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    • pp.184-193
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    • 2021
  • The system for managing spatial data updates the existing information by extracting only the information that is different from the existing information for the newly obtained spatial information file to update the stored information. In order to extract only objects that have changed from existing information, it is necessary to compare whether there is any difference from existing information for all objects included in the newly obtained spatial information file. This study was conducted to improve this total inspection method in a situation where the amount of spatial information that is frequently updated increases and data update is required at the national level. In this study, before inspecting individual objects in a new acquisition space information file, a method of determining whether individual space objects have been changed only by the information in the file was considered. Spatial data files have structured data characteristics different from general image or text document files, so it is possible to determine whether to change the file unit in a simpler way compared to the existing method of creating and managing file hash. By reducing the number of target files that require full inspection, it is expected to improve the use of resources in the system by saving the overall data quality inspection time and saving data extraction time.

Improved efficiency of numerical modeling using the expanding domain method with a logarithmic grid (영역확장법 및 로그격자를 이용한 수치모델링 효율 향상 연구)

  • Hong, Bo-Ram;Bae, Ho-Seuk;Ha, Wan-Soo;Chung, Woo-Keen
    • Journal of Advanced Marine Engineering and Technology
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    • v.40 no.1
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    • pp.75-80
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    • 2016
  • Numerical modeling based on the finite difference method has been widely used with improved computer technology. However, high-capacity computing resources are required for this technique. To overcome this limitation, we propose an algorithm the employs a logarithmic grid in conjunction with the expanding domain method. The proposed algorithm was verified through comparison with numerical results obtained with a conventional method. The results confirmed that our algorithm can improve computational efficiency.