• 산업공학
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• 제16권spc호
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• pp.87-92
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• 2003

Progressive mesh representation and generation have become one of the most important issues in network-based computer graphics. However, current researches are mostly focused on triangular mesh models. On the other hand, solid models are widely used in industry and are applied to advanced applications such as product design and virtual assembly. Moreover, as the demand to share and transmit these solid models over the network is emerging, the generation and the transmission of progressive solid models depending on specific engineering needs and purpose are essential. In this paper, we present a Cellular Topology-based approach to generating and transmitting progressive solid models from a feature-based solid model for internet-based design and collaboration. The proposed approach introduces a new scheme for storing and transmitting solid models over the network. The Cellular Topology (CT) approach makes it possible to effectively generate progressive solid models and to efficiently transmit the models over the network with compact model size.

• 한국지능시스템학회논문지
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• 제17권4호
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• pp.477-482
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• 2007

본 논문은 AC-3와 MPEG-2를 모두 복호화할 수 있는 오디오 복호화기 구조를 제시한다. MPEG-2 합성필터는 AC-3와 공통점을 얻기 위해서 32 포인트 FFT를 활용하도록 변환되었다. 복호화기는 프로그래머블 오디오 DSP 코어와 공용의 합성필터로 구성되어 서로 다른 포멧을 효과적으로 분석, 복호화가 가능하다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2004년도 추계학술발표논문집(상)
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• pp.113-116
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• 2004

웹 사용이 보편화되고 정보에 대한 공유의식이 확산되면서 다량의 정보를 저장하기 위해 구축되었던 데이터베이스 시스템이, 웹이 갖는 특성과 함께 웹 데이터베이스라는 새로운 분야로 발전되어 가고 있다. 그러나 기존 데이터베이스 설계가 대부분 관계형 데이터베이스(RDBMS)로 설계되었고, 이것을 웹이 갖는 여러 특징적인 면과 부합하여 운영하고자 할 경우 기존 데이터베이스에 추가되어야 하는 부분이 나타난다. 본 논문은 기존의 관계형 데이터베이스를 웹 데이터베이스로 변환할 경우 모델링 단계에서 고려해야 할 여러 가지 사항 중 권한과 공유에 대한 효율적인 방법에 대하여 논한다. 변환 과정에서 데이터베이스 구축 모델링 방법의 한계점과 해결방법을 제시한다. 제안 방법은 기존의 웹 데이터베이스 모델링 방법과의 비교 분석을 통하여 그 효율성을 보인다.

• 농촌계획
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• 제12권4호
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• pp.13-22
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• 2006

Recently 'Rural Amenity Resources Survey' has been launched to preserve unique and various attributes of rural amenity resources in rural areas. While vast amounts of field data are being collected, there has been insufficient means to share and analyze the data among users. This article addresses crucial issues on why more systematical approaches of building an information system to retrieve and represent information more efficiently. In this work, we have developed an alternative 'Rural Amenity Resources Information System' using Web-GIS and ontology, and later examined its applicability.

• International Journal of Internet, Broadcasting and Communication
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• 제13권1호
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• pp.180-186
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• 2021

In cloud computing service it is important to share the system resource among multiple instances according to user requirements. In particular, the issue of efficiently distributing I/O resources across multiple instances is paid attention due to the rise of emerging data-centric technologies such as big data and deep learning. However, it is difficult to evaluate the I/O resource distribution of a Linux container, which is one of the core technologies of cloud computing, since conventional I/O benchmarks does not support features related to container management. In this paper, we propose a new I/O performance benchmarking framework that can easily evaluate the resource distribution of Linux containers using existing I/O benchmarks by supporting container-related features and integrated user interface. According to the performance evaluation result with trace-replay benchmark, the proposed benchmark framework has induced negligible performance overhead while providing convenience in evaluating the I/O performance of multiple Linux containers.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.265-271
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• 2022

Social media is a form of communication based on the internet to share information through content and images. Their choice of profile images and type of image they post can be closely connected to their personality. The user posted images are designated as personality traits. The objective of this study is to predict five factor model personality dimensions from profile images by using deep learning and neural networks. Developed a deep learning framework-based neural network for personality prediction. The personality types of the Big Five Factor model can be quantified from user profile images. To measure the effectiveness, proposed two models using convolution Neural Networks to classify each personality of the user. Done performance analysis among two different models for efficiently predict personality traits from profile image. It was found that VGG-69 CNN models are best performing models for producing the classification accuracy of 91% to predict user personality traits.

• International Journal of Computer Science & Network Security
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• 제23권2호
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• pp.164-172
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• 2023

Sharing power data between electrical power grids is crucial in energy management. The multi-agent approach has been applied in various applications to improve the development of complex systems by making them both independent and collaborative. The smart grid is one of the most intricate systems that requires a higher level of independence, reliability, protection, and adaptability to user requests. In this paper, a multi-agent system is utilized to share knowledge and tackle challenges in smart grids. The shared information is used to make decisions that aid in power distribution management within the grid and with other networks. The proposed multi-agent mechanism improves the reliability of the power system by providing the necessary information at critical times. The results indicate that the multi-agent system operates efficiently and promptly, making it a highly promising candidate for smart grid management.

• 로봇학회논문지
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• 제18권4호
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• pp.419-426
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• 2023

Assembly tasks are difficult to fully automate due to uncertain errors occurring in unstructured environments. When assembling parts such as electrical connectors, advances in grasping and assembling technology have made it possible for the robot to assemble the connectors without the aid of humans. However, some parts with tight assembly tolerances should be assembled by humans. Therefore, task sharing with human-robot interaction is emerging as an alternative. The goal of this concept is to achieve shared autonomy, which reduces the efforts of humans when carrying out repetitive tasks. In this study, a task-sharing robotic system for assembly process has been proposed to achieve shared autonomy. This system consists of two parts, one for robotic grasping and assembly, and the other for monitoring the process for robot-human task sharing. Experimental results show that robots and humans share tasks efficiently while performing assembly tasks successfully.

• 대한방사선기술학회지:방사선기술과학
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• 제30권1호
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• pp.47-51
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• 2007

의료정보의 전달과정과 저장은 공유를 목적으로 함으로써 기본적인 표준안을 지니고 있어야 한다. 현재 방사선과 판독결과와 관련하여 DICOM SR이 제시되고 있으나, 이를 현실적으로 적용하기가 어려운 것이 사실이다. 무엇보다도 현재 개인평생전자의무기록 관리체계를 구축하려는 시스템에서 표준으로 내세우는 CDA형태의 판독결과지를 필요로 한다. 따라서 본 연구는 방사선과 판독결과지를 PACS내에서 자동으로 CDA로 생성하는 Module을 개발하고 이를 적용시켰으며, 이 결과지 안에는 검사결과뿐만 아니라, 판독에 가장 큰 영향을 미치는 Key Image를 내포하여 파일형태로 전송 저장하게 하였다. 상호 이질적인 시스템이라 할지라도 정보의 분석과 저장이 용이하게 구현하여 적용시켰으며, 고가의 의료장비가 부족한 지역과 대형, 3차 진료기관과의 방사선과 결과 정보의 공유를 통해 의료서비스를 개선시키는데 역할을 할 것으로 사료된다.

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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• pp.325-329
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• 2005

Vast amount of information is generated and shared in this active digital As the digital informatization is vividly going on now, most of documents are in digitalized forms, and this kind of information is on the increase. It is no exaggeration to say that this kind of newly created information and knowledge would affect the competitiveness and the future of our nation. In addition to that, a lot of investment is being made in information and knowledge based industries at national level and in reality, a lot of efforts are intensively made for research and development of human resources. It becomes easier in digital era to create and share the information as there are various tools that have been developed to create documents along with the internet, and as a result, the share of dual information is increasing day in and day out. At present, a lot of information that is provided online is actually being plagiarized or illegally copied. Specifically, it is very tricky to identify some plagiarism from tremendous amount of information because the original sentences can be simply restructured or replaced with similar words, which would make them look different from original sentences. This means that managing and protecting the knowledge start to be regarded as important, though it is important to create the knowledge through the investment and efforts. This dissertation tries to suggest new method and theory that would be instrumental in effectively detecting any infringement on and plagiarism of intellectual property of others. DICOM(Dynamic Incremental Comparison Method), a method which was developed by this research to detect plagiarism of document, focuses on realizing a system that can detect plagiarized documents and parts efficiently, accurately and immediately by creating positive and various detectors.