• Title/Summary/Keyword: Data Model Conversion

Search Result 420, Processing Time 0.026 seconds

Study on the 3D Modeling Data Conversion Algorithm from 2D Images (2D 이미지에서 3D 모델링 데이터 변환 알고리즘에 관한 연구)

  • Choi, Tea Jun;Lee, Hee Man;Kim, Eung Soo
    • Journal of Korea Multimedia Society
    • /
    • v.19 no.2
    • /
    • pp.479-486
    • /
    • 2016
  • In this paper, the algorithm which can convert a 2D image into a 3D Model will be discussed. The 2D picture drawn by a user is scanned for image processing. The Canny algorithm is employed to find the contour. The waterfront algorithm is proposed to find foreground image area. The foreground area is segmented to decompose the complex shapes into simple shapes. Then, simple segmented foreground image is converted into 3D model to become a complex 3D model. The 3D conversion formular used in this paper is also discussed. The generated 3D model data will be useful for 3D animation and other 3D contents creation.

CIM based Distribution Automation Simulator (CIM 기반의 배전자동화 시뮬레이터)

  • Park, Ji-Seung;Lim, Seong-Il
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.27 no.3
    • /
    • pp.87-94
    • /
    • 2013
  • The main purpose of the distribution automation system (DAS) is to achieve efficient operation of primary distribution systems by monitoring and control of the feeder remote terminal unit(FRTU) deployed on the distribution feeders. DAS simulators are introduced to verify the functions of the application software installed in the central control unit(CCU) of the DAS. Because each DAS is developed on the basis of its own specific data model, the power system data cannot be easily transferred from the DAS to the simulator or vice versa. This paper presents a common information model(CIM)-based DAS simulator to achieve interoperability between the simulator and the DASs developed by different vendors. The CIM-based data model conversion between Smart DMS (SDMS) and Total DAS (TDAS) has been performed to establish feasibility of the proposed scheme.

A Study on Converting bibliographic data of public libraries expressed in KORMARC into BIBFARME

  • Kim, Joo-Yong;Shin, Pan-Seop
    • Journal of the Korea Society of Computer and Information
    • /
    • v.26 no.11
    • /
    • pp.139-147
    • /
    • 2021
  • BIBFRAME, which is attracting attention as an alternative to the machine-readable catalog format (MARC) in the library world, presents a new bibliographic data model in the open web environment while maintaining compatibility with existing data. To convert KORMARC(Korean data model of MARC) records into BIBFRAME, we extract 25 key fields by analyzing the latest 5,000 bibliographic data from Nowon-gu Library in Seoul. The extracted core fields are classified into three types according to the compatibility of MARC 21, and define conversion rules for each type. In addition, implement an open source-based converter to perform KORMARC to BIBFRAME conversion. As a basic study on KORMARC to BIBFRAME conversion, this study is meaningful in that it analyzes the latest KORMARC information actually used, defines conversion rules, and attempts BIBFRAME conversion.

Anomaly-based Alzheimer's disease detection using entropy-based probability Positron Emission Tomography images

  • Husnu Baris Baydargil;Jangsik Park;Ibrahim Furkan Ince
    • ETRI Journal
    • /
    • v.46 no.3
    • /
    • pp.513-525
    • /
    • 2024
  • Deep neural networks trained on labeled medical data face major challenges owing to the economic costs of data acquisition through expensive medical imaging devices, expert labor for data annotation, and large datasets to achieve optimal model performance. The heterogeneity of diseases, such as Alzheimer's disease, further complicates deep learning because the test cases may substantially differ from the training data, possibly increasing the rate of false positives. We propose a reconstruction-based self-supervised anomaly detection model to overcome these challenges. It has a dual-subnetwork encoder that enhances feature encoding augmented by skip connections to the decoder for improving the gradient flow. The novel encoder captures local and global features to improve image reconstruction. In addition, we introduce an entropy-based image conversion method. Extensive evaluations show that the proposed model outperforms benchmark models in anomaly detection and classification using an encoder. The supervised and unsupervised models show improved performances when trained with data preprocessed using the proposed image conversion method.

Evaluation of Conversion Action Data Mechanisms in Cost-Per-Action Advertising

  • Tian, Li;Lee, Kyoung-Jun
    • 한국경영정보학회:학술대회논문집
    • /
    • 2008.06a
    • /
    • pp.428-433
    • /
    • 2008
  • The online advertising industry's business model undertakes the change from CPM (cost-per-mille)-based to CPC (cost-per-click)-based. However, due to the problem of 'Click Fraud', CPA (cost-per-action) has been regarded as a new step. For CPA, publishers need to get information after a user clicks an advertisement. Therefore, in CPA, the key is to get Conversion Action Data (CAD). This paper introduces two existing mechanisms for getting CAD, compare their characteristics, and analyze their limitations. Then the two new mechanisms are introduced and their requirements and feasibility are analyzed. Lastly, we compare the existing two and the new two mechanisms, and point out each mechanism's business possibility, value and Application Area. This paper will help publishers choose the most appropriate mechanism on the basis of their situation.

  • PDF

FDTD Verification of an Improved Conversion Model for an Open-Ended Coaxial Probe (개방단말 동축선 프로브의 개선된 환산모델에 대한 FDTD 검증)

  • 조유선;현승엽;김세윤
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
    • /
    • v.15 no.5
    • /
    • pp.493-498
    • /
    • 2004
  • The complex permittivities of methanol measured from 0.2 to 2.0 ㎓ using an open-ended coaxial probe revealed the large deviation from the given data in literature. In this paper, it was investigated whether the given or measured complex permittivity is similar to the real value of our methanol used for experiment. The FDTD method was applied to confirm the effect of our conversion model excluding the effect of sufficiently small measurement error. The complex permittivities reconverted from the computed reflection coefficient by employing our improved conversion model were not similar to the given value but measured value. These results assured the accuracy and stability of our measurement-and-conversion process.

An analytical approach of behavior change for concrete dam by panel data model

  • Gu, Hao;Yang, Meng;Gu, Chongshi;Cao, Wenhan;Huang, Xiaofei;Su, Huaizhi
    • Steel and Composite Structures
    • /
    • v.36 no.5
    • /
    • pp.521-531
    • /
    • 2020
  • The behavior variation of concrete dam is investigated, based on a new method for analyzing the data model of concrete dam in service process for the limitation of wavelet transform for solving concrete dam service process model. The study takes into account the time and position of behavior change during the process of concrete dam service. There is no dependence on the effect quantity for overcoming the shortcomings of the traditional identification method. The panel data model is firstly proposed for analyzing the behavior change of composite concrete dam. The change-point theory is used to identify whether the behavior of concrete dams changes during service. The phase space reconstruction technique is used to reconstruct the phase plane of the trend effect component. The time dimension method is used to solve the construction of multi-transformation model of composite panel data. An existing 76.3-m-high dam is used to investigate some key issues on the behavior change. Emphasis is placed on conversion time and location for three time periods consistent with the practical analysis report for evaluating the validity of the analysis method of the behavior variation of concrete dams presented in this paper.

Performance Evaluation about Implicit Referential Integrities Extraction Algorithm of RDB (RDB의 묵시적 참조 무결성 추출 알고리즘에 대한 성능 평가)

  • Kim, Jin-Hyung;Jeong, Dong-Won
    • Proceedings of the Korea Society for Simulation Conference
    • /
    • 2005.11a
    • /
    • pp.71-76
    • /
    • 2005
  • XML is rapidly becoming one of the most widely adopted technologies for information exchange and representation on the World Wide Web. However, the large part of data is still stored in a relational database. Hence, we need to convert relational data into XML documents. The most important point of the conversion is to reflect referential integrities In relational schema model to XML schema model exactly. Until now, FT, NeT and CoT are suggested as existing approaches for conversion from the relational schema model to the XML schema model but these approaches only reflect referential integrities which are defined explicitly for conversion. In this paper, we suggest an algorithm for automatic extraction of implicit referential integrities such as foreign key constraints which is not defined explicitly in the initial relational schema model. We present translated XML documents by existing algorithms and suggested algorithms as comparison evaluation. We also compare suggested algorithm and conventional algorithms by simluation in accuracy part.

  • PDF

Performance Analysis of Ocean Thermal Energy Conversion on Working Fluid Classification (작동유체에 따른 온도차발전사이클의 성능 해석)

  • Lee, Ho-Saeng;Moon, Jung-Hyun;Kim, Hyeon-Ju
    • Journal of Power System Engineering
    • /
    • v.20 no.2
    • /
    • pp.79-84
    • /
    • 2016
  • The thermodynamic performance of ocean thermal energy conversion with 1 kg/s geothermal water flow rate as a heat source was evaluated to obtain the basic data for the optimal design of cycle with respect to the classification of the working fluid. The basic thermodynamic model for cycle is rankine cycle and the geothermal water and deep seawater were adapted for the heat source of evaporator and condenser, respectively. R245fa, R134a are better to use as a working fluid than others in view of the use of geothermal water. It is important to select the proper working fluid to operate the ocean thermal energy conversion. So, this paper can be used as the basic data for the design of ocean thermal energy conversion with geothermal water and deep seawater.

Equivalent Circuit Model for Four Port Connector System (4포트 커넥터 시스템의 등가회로 변환에 관한 연구)

  • Shim, Min-Kyu;Kim, Jong-Min;Nah, Wan-Soo
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.56 no.6
    • /
    • pp.1105-1110
    • /
    • 2007
  • This paper describes an equivalent circuit modeling of 4-port connector system. A coupled transmission line was designed and fabricated, mimicking a 4-port connector system, and then S-parameters were measured using 4 port VNA (Vector Network Analyzer). The S-parameters from measurement and from Full-wave simulator coincided quite nice. By using these S parameters, an equivalent circuit parameters for a 4-port system was obtained. The time domain response from the equivalent circuit model matched to the signals, which was measured using TDR(Time Domain Reflectometry) meter. We were also convinced that there should be enough bandwidth to get a meaningful time domain result from Fourier inverse transformation of the S parameters. In addition, we applied the conversion algorithm to the 4-port connector system, which calculates the S-parameters of a 4 port system using the data from a 2-port VNA with the other ports open. Comparison of the two data, one from measurement and the other one from the conversion algorithm, was made in this manuscript.