• Title/Summary/Keyword: 디지털콘텐츠 품질시스템

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Study on Education Content Delivery System in Hybrid P2P based Computing Environment (혼합형 P2P 기반 컴퓨팅환경에서의 교육 컨텐츠 전송 시스템에 대한 연구)

  • Kim, Jin-Il
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.658-661
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    • 2005
  • Internet-based client/server architecture of Contents Delivery System suffers from frequent disconnections and security treats caused by dependency of the server or overload. But, We reached the limit to the increase of the server because a contents quality enhance and Internet user explosively increase. Therefore, a P2P based computing methods are used for sloving these issues. In this paper, We implement and design the Education Content Delivery System for cyber education system using idle Computing Power in P2P computing to share computing resources. We implement not only Internet infrastructure but also satellite infrastructure system, and designed to transfer real-time or non real-time contents.

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Implementation of Electronic Document Local Hosting System of Overseas Journals (해외 학술지 전자원문 로컬호스팅 시스템 구현)

  • Kim, Kwang-Young;Kim, Jin-Suk;Park, Jung-Hoon;Kim, Jeong-Hwan
    • The Journal of the Korea Contents Association
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    • v.12 no.7
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    • pp.1-10
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    • 2012
  • Today, As the internet and electronic publishing technology was powerful and there are many benefits to using various academic information which has an electronic document of high quality. Many researchers had much required to see a full-text of electronic document. There was an requirement of digital achieving activities between countries for each other electronic document in order to safely preserve and services. In this paper, we have implemented an electronic document local-hosting system to provide free service to KESLI member institutions and provide pay-per-view service to individual users and small/medium size companies who are not member of KESLI and builded national long-term preservation system of electronic information resources.

Derivation of Methodology Tailoring Rules in Healthcare Industry (의료업에 있어서 방법론 테일러링 규칙의 도출)

  • Choi, Won-Young;Kim, Soon-Gohn
    • Journal of Digital Contents Society
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    • v.12 no.4
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    • pp.593-600
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    • 2011
  • In the case of the domestic medical industry, work is conducting according to the convenience of the developer without guiding principles regarding tailoring and a number of processes and products that should not have been omitted considering the characteristics of corresponding sites were discovered. As a result of this omission, it was found that the delivery period was not met and problems arose for an extensive period of time after the activation of the system. The lack of critical processes and products had a negative impact on the productivity and quality of the software. This paper defines the processes that need to be followed as a basis and the products that need to be prepared during the development of a medical information system. Also, additional processes and products are presented depending upon the condition of the project. Especially, the step-by-step assessment processes and products to manage the assessment results were seriously dealt with in this study to strengthen the compliance of processes and the product quality.

Design of Anomaly Detection System Based on Big Data in Internet of Things (빅데이터 기반의 IoT 이상 장애 탐지 시스템 설계)

  • Na, Sung Il;Kim, Hyoung Joong
    • Journal of Digital Contents Society
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    • v.19 no.2
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    • pp.377-383
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    • 2018
  • Internet of Things (IoT) is producing various data as the smart environment comes. The IoT data collection is used as important data to judge systems's status. Therefore, it is important to monitor the anomaly state of the sensor in real-time and to detect anomaly data. However, it is necessary to convert the IoT data into a normalized data structure for anomaly detection because of the variety of data structures and protocols. Thus, we can expect a good quality effect such as accurate analysis data quality and service quality. In this paper, we propose an anomaly detection system based on big data from collected sensor data. The proposed system is applied to ensure anomaly detection and keep data quality. In addition, we applied the machine learning model of support vector machine using anomaly detection based on time-series data. As a result, machine learning using preprocessed data was able to accurately detect and predict anomaly.

The Effect of P2E-type Virtual Farm Experience on the Attitude and Recommendation Intention of Potential Farmers : Focusing on the Information System Success Model (P2E형 가상 농장 영농체험이 잠재 영농인의 태도와 추천의도에 미치는 영향 연구: 정보시스템성공모델 중심으로)

  • Bae, Sujin;Oh, Hyunjoo;Lee, Younglae;Kwon, Ohbyung
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.680-691
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    • 2022
  • Virtual farm is a kind of virtual reality for education and training, which realizes a change in attitude toward farming and aims for economic performance through revisiting the virtual farm. With the recent introduction of P2E-type virtual reality, a way to connect virtual farming experiences with practical benefits is being considered. However, few studies have been conducted on the factors that influence the success of virtual farms. Hence, the purpose of this study is to examine whether the quality of virtual farm contents and system quality affect user satisfaction with virtual farm experience based on the DeLone & McLean's IS Success Model. In addition, we will examine whether satisfaction with the virtual farm significantly contributes to the change in attitude toward farming. In addition, we demonstrate whether digital incentives contribute to the activation of P2E-type virtual farms.

Integrated editing system for 3D stereoscopic contents production (3차원 입체 콘텐츠 제작을 위한 통합 저작 시스템)

  • Yun, Chang-Ok;Yun, Tae-Soo;Lee, Dong-Hoon
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.1
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    • pp.11-21
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    • 2008
  • Recently, it has shown an increased interest in 3D stereoscopic contents due to the development of the digital image media. Therefore, many techniques in 3D stereoscopic image generation have being researched and developed. However, it is difficult to generate high immersion and natural 3D stereoscopic contents, because the lack of 3D geometric information imposes restrictions in 2D image. In addition, control of the camera interval and rendering of the both eyes must be repetitively accomplished for the stereo effect being high. Therefore, we propose integrated editing system for 3D stereoscopic contents production using a variety of images. Then we generate 3D model from projective geometric information in single 2D image using image-based modeling method. And we offer real-time interactive 3D stereoscopic preview function for determining high immersion 3D stereo view. And then we generate intuitively 3D stereoscopic contents of high-quality through a stereoscopic LCD monitor and a polarizing filter glasses.

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A Study on the Intention to Use of the AI-related Educational Content Recommendation System in the University Library: Focusing on the Perceptions of University Students and Librarians (대학도서관 인공지능 관련 교육콘텐츠 추천 시스템 사용의도에 관한 연구 - 대학생과 사서의 인식을 중심으로 -)

  • Kim, Seonghun;Park, Sion;Parkk, Jiwon;Oh, Youjin
    • Journal of Korean Library and Information Science Society
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    • v.53 no.1
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    • pp.231-263
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    • 2022
  • The understanding and capability to utilize artificial intelligence (AI) incorporated technology has become a required basic skillset for the people living in today's information age, and various members of the university have also increasingly become aware of the need for AI education. Amidst such shifting societal demands, both domestic and international university libraries have recognized the users' need for educational content centered on AI, but a user-centered service that aims to provide personalized recommendations of digital AI educational content is yet to become available. It is critical while the demand for AI education amongst university students is progressively growing that university libraries acquire a clear understanding of user intention towards an AI educational content recommender system and the potential factors contributing to its success. This study intended to ascertain the factors affecting acceptance of such system, using the Extended Technology Acceptance Model with added variables - innovativeness, self-efficacy, social influence, system quality and task-technology fit - in addition to perceived usefulness, perceived ease of use, and intention to use. Quantitative research was conducted via online research surveys for university students, and quantitative research was conducted through written interviews of university librarians. Results show that all groups, regardless of gender, year, or major, have the intention to use the AI-related Educational Content Recommendation System, with the task suitability factor being the most dominant variant to affect use intention. University librarians have also expressed agreement about the necessity of the recommendation system, and presented budget and content quality issues as realistic restrictions of the aforementioned system.

Performance evaluation of Edge-based Method for classification of Gelatin Capsules (젤라틴 캡슐의 분류를 위한 에지 기반 방법 성능 평가)

  • Kwon, Ki-Hyeon;Choi, In-Soo
    • Journal of Digital Contents Society
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    • v.18 no.1
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    • pp.159-165
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    • 2017
  • In order to solve problems in automatic quality inspection of tablet capsules, computation-efficient image processing technique, appropriate threshold setting, edge detection and segmentation methods are required. And since existing automatic system for quality inspection of tablet capsules is of very high cost, it needs to be reduced through the realization of low-price hardware system. This study suggests a technique that uses low-cost camera module to obtain image and inspects dents on tablet capsules and sorting them by applying TLS curve fitting technique and edge-based image segmentation. In order to assess the performance, the major classifications algorithm of PCA, ICA and SVM are used to evaluate training time, test time and accuracy for capsule image area and curve fitting edge data sets.

A Study of Transmission Structure for IP-based Digital Broadcast Systems (IP 기반 디지털 방송 시스템을 위한 전송 구조 연구)

  • Seo, Hyung-Yoon;Bae, Byungjun;Lim, Hyoungsoo;Huh, Jun-hwan;Kim, Jong-Deok
    • KIISE Transactions on Computing Practices
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    • v.21 no.6
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    • pp.430-435
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    • 2015
  • IP-based, next generation digital broadcast systems transmit DASH segment files. Designed by the DASH system, DASH segment files provide variable quality of contents, while the size of DASH segment files varies even if the file has the same quality. Delays and inefficient use of resources are major challenges in the transmission of variable size DASH segment files in broadcasting systems. Traditional broadcasting transmission systems are designed according to characteristics of physical layer of broadcast, and thus, delay and inefficient resources use is difficult to find. Yet, transmission content quantities continue to rise in the next-generation broadcasting systems (e.g. FHD, UHD (4k, 8k)) with variability of the segments file size as well. Resources for next-generation broadcast are more abundant than traditional broadcast with recent development, but continue to be limited and fixed. Resource delay and inefficiency are important but has not been extensively studied. We propose a transmission structure solution to analyze the delay and efficiency of the resource as each DASH segment file is transmitted, and have further performed simulation studies.

Development of Circuit Emulator Solution using Raspberry Pi System (라즈베리파이 시스템을 이용한 회로 에뮬레이터 솔루션 개발)

  • Nah, Bang-hyun;Lee, Young-woon;Kim, Byung-gyu
    • Journal of Digital Contents Society
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    • v.18 no.3
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    • pp.607-612
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    • 2017
  • The use of RaspberryPi in building an embedded system may be difficult for users in understanding the circuit and the hardware cost. This paper proposes a solution that can test the systems virtually. The solution consists of three elements; (i) editor, (ii) interpreter and (iii) simulator and provides nine full modules and also allows the users to configure/run/test their own circuits like real environment. The task of abstraction for modules through the actual circuit test was carried out on the basis of the data sheet and the specification provided by the manufacturer. If we can improve the level of quality of our solution, it can be useful in terms of cost reduction and easy learning. To achieve this end, the electrical physics engine, the level of interpreter that can be ported to the actual board, and a generalization of the simulation logic are required.