• Title/Summary/Keyword: Information structure

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XML Structured Model of Tree-type for Efficient Retrieval (효율적인 검색을 위한 Tree 형태의 XML 문서 구조 모델)

  • Kim Young-Ran
    • Journal of the Korea Society of Computer and Information
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    • v.9 no.4 s.32
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    • pp.27-32
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    • 2004
  • A XML Document has a structure which may be irregular The irregular document structure is difficult for users to know exactly. In this paper, we propose the XML document model and the structure retrieval method for efficient management and structure retrieval of XML documents. So we use fixed-sized LETID having the information of element, describe the structured information retrieval algorithm for parent and child element to represent the structured information of XML documents. Using this method, we represent the structured information of XML document efficiently. We can directly access to specific clement by simple operation, and process various queries. We expect the method to support various structured retrieval of specific element such as parent, child. and sibling elements.

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Development of Information System for Product Redesign: Evaluation of Assembly Process and Characteristics of Product Functions

  • Arakawa, Masahiro
    • Industrial Engineering and Management Systems
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    • v.9 no.3
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    • pp.215-226
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    • 2010
  • Since product design strongly depends on the experience and ability of the designers, and a long lead time is required for the product design stage, introducing a support system related to this experience and ability is an effective technique to reduce the lead time. In this paper, an information system is developed to support the development of engineering mechanisms with the evaluation of the assembly process on the basis of the abstract functions required for new products. The developed system is based on a database system involving the following data structure: (1) a hierarchical structure related to information about the product functions, (2) the relationship between the parts and engineering functions and/or mechanisms of products, and (3) the relationship between the parts and manufacturing characteristics. The system stores the relationships between the product functions, structure of parts, and assembly characteristics. This information can then be interactively retrieved using the data structure described in (1), (2), and (3). A procedure for designing new products is proposed that involves using the information about existing products. This paper presents the characteristics of the proposed procedure and the developed information system. In addition, a case study of the redesign of a simple structured robot by using the proposed procedure is discussed.

Multi-view Clustering by Spectral Structure Fusion and Novel Low-rank Approximation

  • Long, Yin;Liu, Xiaobo;Murphy, Simon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.3
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    • pp.813-829
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    • 2022
  • In multi-view subspace clustering, how to integrate the complementary information between perspectives to construct a unified representation is a critical problem. In the existing works, the unified representation is usually constructed in the original data space. However, when the data representation in each view is very diverse, the unified representation derived directly in the original data domain may lead to a huge information loss. To address this issue, different to the existing works, inspired by the latest revelation that the data across all perspectives have a very similar or close spectral block structure, we try to construct the unified representation in the spectral embedding domain. In this way, the complementary information across all perspectives can be fused into a unified representation with little information loss, since the spectral block structure from all views shares high consistency. In addition, to capture the global structure of data on each view with high accuracy and robustness both, we propose a novel low-rank approximation via the tight lower bound on the rank function. Finally, experimental results prove that, the proposed method has the effectiveness and robustness at the same time, compared with the state-of-art approaches.

Face inpainting via Learnable Structure Knowledge of Fusion Network

  • Yang, You;Liu, Sixun;Xing, Bin;Li, Kesen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.3
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    • pp.877-893
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    • 2022
  • With the development of deep learning, face inpainting has been significantly enhanced in the past few years. Although image inpainting framework integrated with generative adversarial network or attention mechanism enhanced the semantic understanding among facial components, the issues of reconstruction on corrupted regions are still worthy to explore, such as blurred edge structure, excessive smoothness, unreasonable semantic understanding and visual artifacts, etc. To address these issues, we propose a Learnable Structure Knowledge of Fusion Network (LSK-FNet), which learns a prior knowledge by edge generation network for image inpainting. The architecture involves two steps: Firstly, structure information obtained by edge generation network is used as the prior knowledge for face inpainting network. Secondly, both the generated prior knowledge and the incomplete image are fed into the face inpainting network together to get the fusion information. To improve the accuracy of inpainting, both of gated convolution and region normalization are applied in our proposed model. We evaluate our LSK-FNet qualitatively and quantitatively on the CelebA-HQ dataset. The experimental results demonstrate that the edge structure and details of facial images can be improved by using LSK-FNet. Our model surpasses the compared models on L1, PSNR and SSIM metrics. When the masked region is less than 20%, L1 loss reduce by more than 4.3%.

A New Variable Selection Method Based on Mutual Information Maximization by Replacing Collinear Variables for Nonlinear Quantitative Structure-Property Relationship Models

  • Ghasemi, Jahan B.;Zolfonoun, Ehsan
    • Bulletin of the Korean Chemical Society
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    • v.33 no.5
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    • pp.1527-1535
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    • 2012
  • Selection of the most informative molecular descriptors from the original data set is a key step for development of quantitative structure activity/property relationship models. Recently, mutual information (MI) has gained increasing attention in feature selection problems. This paper presents an effective mutual information-based feature selection approach, named mutual information maximization by replacing collinear variables (MIMRCV), for nonlinear quantitative structure-property relationship models. The proposed variable selection method was applied to three different QSPR datasets, soil degradation half-life of 47 organophosphorus pesticides, GC-MS retention times of 85 volatile organic compounds, and water-to-micellar cetyltrimethylammonium bromide partition coefficients of 62 organic compounds.The obtained results revealed that using MIMRCV as feature selection method improves the predictive quality of the developed models compared to conventional MI based variable selection algorithms.

A wideband balun of tapered structure using planar microstrip

  • Chang, Tae-Soon;Chang, Rae-Kim;Hur, Jung
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2005.11a
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    • pp.35-38
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    • 2005
  • In this paper, a wideband balun of tapered structure using planar microstrip is desigde ad analyzed. The balun structure was fabricated on a Teflon substrate with a thickness of 0.8mm and relative dielectric constant ${\varepsilon}_r$ of 2.5. Two back-to back CPW-to-CPS transitions were simulated and optimized using HFSS. A movel plaar balun using tapered structure of microstip to CPW is suggested and designed. The measurement result, the bandwidth for a reflection coefficient better than -10dB of the balun is 2GHz to 8GHz. The planar balun can improved the performance of wide band spiral antenna.

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Fabrication of simple bi-layered structure red and green PHOLEDs

  • Jeon, Woo-Sik;Park, Tae-Jin;Kwon, Jang-Hyuk;Pode, Ramchandra;Ahn, Jeung-Sun
    • 한국정보디스플레이학회:학술대회논문집
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    • 2008.10a
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    • pp.34-36
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    • 2008
  • Highly efficient red and green phosphorescent devices comprising a simple bilayer structure are reported. The driving voltage to reach $1000\;cd/m^2$ is 4.5 V in $Bebq_2:\;Ir(piq)_3$ red phosphorescent device. Current and power efficiency values of 9.66 cd/A and 6.90 lm/W in this bi-layered simple structure PHOLEDs are obtained, respectively. While in $Bepp_2:Ir(ppy)_3$ green phosphorescent device, the operating voltage value of 3.3V and current and power efficiencies of 37.89 cd/A and 35.02 lm/W to obtain a luminance of $1000\;cd/m^2$ are noticed, respectively.

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Relational Database Structure for Preserving Multi-role Topics in Topic Map (토픽맵의 다중역할 토픽 보존을 위한 관계형 데이터베이스 구조)

  • Jung, Yoonsoo;Y., Choon;Kim, Namgyu
    • The Journal of Information Systems
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    • v.18 no.3
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    • pp.327-349
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    • 2009
  • Traditional keyword-based searching methods suffer from low accuracy and high complexity due to the rapid growth in the amount of information. Accordingly, many researchers attempt to implement a so-called semantic search which is based on the semantics of the user's query. Semantic information can be described using a semantic modeling language, such as Topic Map. In this paper, we propose a new method to map a topic map to a traditional Relational Database (RDB) without any information loss. Although there have been a few attempts to map topic maps to RDB, they have paid scant attention to handling multi-role topics. In this paper, we propose a new storage structure to map multi-role topics to traditional RDB. The proposed structure consists of a mapping table, role tables, and content tables. Additionally, we devise a query translator to convert a user's query to one appropriate to the proposed structure.

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Low-power Structure for H.264 Deblocking Filter Using Mux (MUX를 사용한 H.264용 저전력 디블로킹 필터 구조)

  • Park, Jin-Su;Han, Kyu-Hoon;Oh, Se-Man;Jang, Young-Beom
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.339-340
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    • 2006
  • In this paper, a low-power deblocking filter structure for H.264 video coding algorithm is proposed. By sharing addition hardware for common filter coefficients, we have designed an efficient deblocking filter structure. Proposed deblocking filter utilizes MUX and DEMUX circuits for input data sharing and shows 44.2% reduction for add operation. In the HDL coding simulation and FPGA implementation, we achieved 19.5% and 19.4% gate count reduction, respectively, comparison with the conventional deblocking filter structure.

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High Efficiency Red PHOLEDs with Organic Single Layer Structure

  • Jeon, Woo-Sik;Park, Tae-Jin;Yu, Jae-Hyung;Pode, Ramchandra;Jang, Jin;Kwon, Jang-Hyuk
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.42-45
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    • 2009
  • We report simple structure red phosphorescent devices comprising only single organic layer structure. Maximum current efficiency of 9.44 cd/A and the driving voltage of 5.4 V are obtained in this single layer structure PHOLEDs, respectively. The mixed host system using electron transporting and hole transporting materials doped with $Ir(piq)_3$ provides such high efficiency and reasonable driving voltage. The principal to simplification is the direct charges injection from the metallic electrodes into mixed host materials.

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