• 제목/요약/키워드: Data Abstraction

검색결과 192건 처리시간 0.031초

Efficient Skyline Computation on Time-Interval Data Streams (유효시간 데이터 스트림에서의 스카이라인 질의 알고리즘)

  • Park, Nam-Hun;Chang, Joong-Hyuk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • 제13권1호
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    • pp.370-381
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    • 2012
  • Multi-criteria result extraction is crucial in many scientific applications that support real-time stream processing, such as habitat research and disaster monitoring. Skyline evaluation is computational intensive especially over continuous time-interval data streams where each object has its own customized expiration time. In this work, we propose TI-Sky - a continuous skyline evaluation framework. To ensure correctness, the result space needs to be continuously maintained as new objects arrive and older objects expire. TI-Sky strikes a perfect balance between the costs of continuously maintaining the result space and the costs of computing the final skyline result from this space whenever a pull-based user query is received. Our key principle is to incrementally maintain a partially precomputed skyline result space - however doing so efficiently by working at a higher level of abstraction. TI-Sky's algorithms for insertion, deletion, purging and result retrieval exploit both layers of granularity. Our experimental study demonstrates the superiority of TI-Sky over existing techniques to handle a wide variety of data sets.

A Bayesian Validation Method for Classification of Microarray Expression Data (마이크로어레이 발현 데이터 분류를 위한 베이지안 검증 기법)

  • Park, Su-Young;Jung, Jong-Pil;Jung, Chai-Yeoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • 제10권11호
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    • pp.2039-2044
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    • 2006
  • Since the bio-information now even exceeds the capability of human brain, the techniques of data mining and artificial intelligent are needed to deal with the information in this field. There are many researches about using DNA microarray technique which can obtain information from thousands of genes at once, for developing new methods of analyzing and predicting of diseases. Discovering the mechanisms of unknown genes by using these new method is expecting to develop the new drugs and new curing methods. In this Paper, We tested accuracy on classification of microarray in Bayesian method to compare normalization method's Performance after dividing data in two class that is a feature abstraction method through a normalization process which reduce or remove noise generating in microarray experiment by various factors. And We represented that it improve classification performance in 95.89% after Lowess normalization.

Study On Receiving and Processing Method about Utilization of Near Real-time Satellite Data (준실시간 활용을 위한 위성자료 수신, 가공 방안 연구)

  • Kim, Soon Yeon;Jung, Young Sim;An, Joo Young;Park, Sang Hoon;Won, Young Jin
    • Proceedings of the Korea Water Resources Association Conference
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    • 한국수자원학회 2017년도 학술발표회
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    • pp.467-467
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    • 2017
  • 토양수분 및 황사발생 연구에 있어 효율적인 광역 분석을 위하여 위성자료가 활용되고 있다. 활용 시나리오에 따라서는 준실시간 자료 수신, 처리가 필요하며 본 연구에서는 이에 대한 방안을 연구하기 위하여 유럽 EUMETSAT(European Organisation for the Exploitation of Meteorological Satellites)의 ASCAT(Advanced Scatterometer) Metop-A 자료에 대하여 파악하였다. 자료 수신 프로토콜에 있어서 FTP, HTTP 등 전통적 방법에 대한 현황과 함께 비교적 최근 기법인 OGC(Open Geospatial Consortium)  WMS(Web Map Service), WCS(Web Coverage Service) 방식의 지원 현황에 대하여 확인하였다. 제공되는 자료 Format부분은 EPS Native와 BUFR(Binary Universal Form for the Representation of meteorological data)을 살펴보되 데이터 프로바이더 측에서 대부분 채택되고 있는 NetCDF(network Common Data Form)를 중심으로 파악하였다. 수신된 자료의 처리 자동화를 위한 소프트웨어는 OSGeo(The Open Source Geospatial Foundation)의 GDAL(Geospatial Data Abstraction Library), 미국 NCAR(National Center for Atmospheric Research)의 NCL(NCAR Command Language)을 중심으로 확인하였다. 자료 가공기법은 격자(Raster) 자료에 대한 기본 메타정보 확인, 좌표참조체계 변환, 해상도 및 Format 변환을 중심으로 확인하였다. 한편 OGC WMS, WCS는 자료의 전송 프로토콜 기법이면서 동시에 서버 사이드에서의 자료 변환 기능을 구비하고 있다. 예를 들어 Http Request에서 영역(Extent), Format 형식, 좌표참조체계를 지정할 수 있다. OGC WMS에 대한 EUMETSAT 파일럿 서비스에서 반환 자료의 공간적 영역, 복수 시점 제공 현황, 반환 포맷 지원 상황은 실제 메서드를 사용하여 파악하였고, 향후 발전 방향을 전망하였다.

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A Study on Strengthening Software Education Capability through Computational Thinking Understanding of pre-service Teachers (예비교원 컴퓨팅 사고 이해도 분석을 통한 소프트웨어 교육 역량 강화 방안)

  • Kim, Chul
    • Journal of The Korean Association of Information Education
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    • 제24권1호
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    • pp.29-37
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    • 2020
  • There is a great deal of effort to improve Computational Thinking in education. In this paper, we define the relationship between SW capability and Computational Thinking, and then examine the current status of pre-service teacher's computing thinking. For this purpose, a survey about the attitude toward SW education and computing thinking was administered to prospective teachers who learned Entry software for one semester. The results of the survey showed that the improvement of abstraction, data analysis, and automation among the pre-service teacher's computing thinking is needed. When educating preliminary teachers, we can see that we need an education method that can increase the analysis and design capability beyond the Entry Software development tool.

MetaData Configuration of Architecture Asset (아키텍처 자산의 메타데이터 구성)

  • Choi, Han-Yong
    • Journal of Convergence Society for SMB
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    • 제6권4호
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    • pp.151-156
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    • 2016
  • It has been constantly demanding for effective way to improve software development productivity and automation. In this paper, we did research to configure the component assets to reuse design information from the design phase domains based on the DMI. It is necessary abstracted information architecture of an independent platform development environment to reuse design information on the design stage. Also, It should be based on a well-designed to support the design architecture of the application domain. Therefore, in this paper, I want to use the DMI architecture that can be represented by formal level of architectural design information platform and application domain area. It is able to decomposition architecture asset with the part design information from the design phase composition or a high level of abstraction on DMI. Therefore, the metadata structure of the asset architecture will support a structure which can reuse the structure-based design of the domain areas.

Dyeing Technique and Aesthetics of Diffusing Image Pattern in Fashion Collection (패션 컬렉션에 나타난 번지는 이미지 문양의 염색기법과 조형미)

  • Ryu, Hyun-Jung
    • Journal of the Korea Fashion and Costume Design Association
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    • 제14권3호
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    • pp.1-10
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    • 2012
  • This study has purpose to understanding recent trends and image effect of textile in fashion by looking to dyeing technique and aesthetics of diffusing image pattern. Further the study will hope to provide basic data for fashion and textile designer fashion. The methods of this study are academic literatures as well as practical study through case studies about actual works. Dyeing techniques and aesthetics of diffusing image pattern since 2000 fashion collection and their results are as follows. First, Dyeing techniques of diffusing image pattern are wet-dyeing and printing. There are plangi dyeing, salt dyeing, alcohol dyeing and ikat dyeing in the wet-dyeing and spray dyeing, discharge dyeing in the printing. There are tie-dyeing, rumpling-dyeing and plank-dyeing in the plangi. Second, Forming of the diffusing image pattern are due to uneven seeping and the contingency of a chemical reaction by reducing the pressure and intensity. Third, Aesthetics of diffusing image pattern are extracted purity missing childhood, fantasy escaping facts of the situation and abstraction representing informal world from formative characteristics of diffusing image pattern.

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The Change of Coastline through High Pass Filter using ASTER Images (ASTER영상을 이용한 고주파 필터에 의한 해안선 변화 분석)

  • Choi, Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • 제16권6호
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    • pp.1279-1284
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    • 2012
  • This study is about the change of coastline through using ASTER images. ASTER image is a sensor loaded in earth resources satellite shoot in Japan on Dec. 1999. It has 15m, 30m, 90m coastline, three sensors of VNIR, TIR and WIR, therefore it's possible to obtain more information on the Earth than the existing satellite images cause it contains various a wavelength range in spite of relatively economic image. The coastline is changed according to topography shape because it's strongly localized. Besides, it's one of the most important factors in MGIS(Marine Geographic Information System). Therefore, this study is accomplished by analysing variation after abstraction the coastline automatically by Vector Line from ASTER satellite images. The study result will be used as an important basic data when analysis the change of e coastline hereafter.

A Study of PDAs Icon Design Guideline Considered User's Cognitive Human Factor (사용자 인지특성을 고려한 PDA아이콘 설계지침에 관한 연구)

  • Kim, Sang-hwan;Myung, Rohae
    • Journal of Korean Institute of Industrial Engineers
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    • 제30권4호
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    • pp.338-345
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    • 2004
  • Personal Digital Assistants (PDAs) have become ubiquitous and continued to gain popularity. Since PDAs have some special contexts such as mobility and limited screen size, icons are utilized frequently because icons allow us to do tasks more rapidly and effectively on PDAs like another information appliances. The study presents a cognitive approach to study human factors affecting icon design with multidimensional Scaling (MDS) analysis. In the experiment, a real PDA was used to investigate 29 attributes and2 preference ratings for 22 PDA icons by 20 Korean subjects. As a result, cognitive positioning about icons, attributes, and preference data were arranged on the two dimensional perceptual map. Attributes were grouped by simplicity, universality, activity, complexity, abstraction, static, and alphanumeric time. Subjects preferences were highly related with simplicity attributes group and positive to universality and activity attributes groups. It was also confirmed that there are some icons unfitted to the mental model of Korean. However, when icons are designed for PDAs or similar information appliances to Korean, it should be designed simply and actively with universal image fitted on target users mental model.

Plant Disease Identification using Deep Neural Networks

  • Mukherjee, Subham;Kumar, Pradeep;Saini, Rajkumar;Roy, Partha Pratim;Dogra, Debi Prosad;Kim, Byung-Gyu
    • Journal of Multimedia Information System
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    • 제4권4호
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    • pp.233-238
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    • 2017
  • Automatic identification of disease in plants from their leaves is one of the most challenging task to researchers. Diseases among plants degrade their performance and results into a huge reduction of agricultural products. Therefore, early and accurate diagnosis of such disease is of the utmost importance. The advancement in deep Convolutional Neural Network (CNN) has change the way of processing images as compared to traditional image processing techniques. Deep learning architectures are composed of multiple processing layers that learn the representations of data with multiple levels of abstraction. Therefore, proved highly effective in comparison to many state-of-the-art works. In this paper, we present a plant disease identification methodology from their leaves using deep CNNs. For this, we have adopted GoogLeNet that is considered a powerful architecture of deep learning to identify the disease types. Transfer learning has been used to fine tune the pre-trained model. An accuracy of 85.04% has been recorded in the identification of four disease class in Apple plant leaves. Finally, a comparison with other models has been performed to show the effectiveness of the approach.

Network-centric CAD

  • Lee, Jae-Yeol;Kim, Hyun;Lee, Joo-Haeng;Do, Nam-Chul;Kim, Hyung-Sun
    • Proceedings of the CALSEC Conference
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    • 한국전자거래학회 2001년도 International Conference CALS/EC KOREA
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    • pp.615-624
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    • 2001
  • Internet technology opens up another domain for building future CAD/CAM environment. The environment will be global, network-centric, and spatially distributed. In this paper, we present a new approach to network-centric virtual prototyping (NetVP) in a distributed design environment. The presented approach combines the current virtual assembly modeling and analysis technique with distributed computing and communication technology fur supporting virtual prototyping activities over the network. This paper focuses on interoperability, shape representation, and geometric processing for distributed virtual prototyping. STEP standard and CORBA-based interfaces allow the bi-directional communication between the CAD model and virtual prototyping model, which makes it possible to solve the problems of interoperability, heterogeneity of platforms, and data sharing. STEP AP203 and AP214 are utilized as a means of transferring and sharing product models. In addition, Attributed Abstracted B-rep (AAB) is introduced as 3D shape abstraction for transparent and efficient transmission of 3D models and for the maintenance of naming consistency between CAD models and virtual prototyping models over the network.

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