• Title/Summary/Keyword: Network generation model

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Acceptance Intention of Digital Home Services Through Situational Inducement (디지털홈서비스의 상황적 유인을 통한 수용의사에 관한 연구)

  • Park Jeong-Hyun;Lee Yeong-Ro;Lee So-Young;Moon Yoo-Jin
    • The Journal of the Korea Contents Association
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    • v.5 no.5
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    • pp.255-265
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    • 2005
  • This paper investigates potential favor and intention for acceptance of digital home services through the situational inducement. The result shows that digital home services for the interactive TV, security management, family management and geographical image affect users' intention for acceptance. And it shows that favorable attitudes of the interactive TV services increase in the younger generation and internet users, favorable attitudes of the family management services increase in the thirties, and favorable attitudes of the medical management services increase in the ages of the fifties. In addition it shows that relationship between favor and intention for acceptance of digital home services affects affirmatively, which was illustrated in the coefficient value (0.661) of the R-square by the regression analysis.

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Proposal for License Plate Recognition Using Synthetic Data and Vehicle Type Recognition System (가상 데이터를 활용한 번호판 문자 인식 및 차종 인식 시스템 제안)

  • Lee, Seungju;Park, Gooman
    • Journal of Broadcast Engineering
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    • v.25 no.5
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    • pp.776-788
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    • 2020
  • In this paper, a vehicle type recognition system using deep learning and a license plate recognition system are proposed. In the existing system, the number plate area extraction through image processing and the character recognition method using DNN were used. These systems have the problem of declining recognition rates as the environment changes. Therefore, the proposed system used the one-stage object detection method YOLO v3, focusing on real-time detection and decreasing accuracy due to environmental changes, enabling real-time vehicle type and license plate character recognition with one RGB camera. Training data consists of actual data for vehicle type recognition and license plate area detection, and synthetic data for license plate character recognition. The accuracy of each module was 96.39% for detection of car model, 99.94% for detection of license plates, and 79.06% for recognition of license plates. In addition, accuracy was measured using YOLO v3 tiny, a lightweight network of YOLO v3.

Legged Robot Trajectory Generation using Evolved Fuzzy Machine for IoT Environments (IoT 환경을 위한 진화된 퍼지머신을 이용한 로봇의 궤적생성)

  • Kim, Dong Won
    • Journal of Internet of Things and Convergence
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    • v.6 no.3
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    • pp.59-65
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    • 2020
  • The Internet of Things (IoT) era, in which all items used in daily life are equipped with a network connection function, and they are closely linked to increase the convenience of life and work, has opened wide. Robots also need to develop according to the IoT environment. A use of new type of evolved fuzzy machine (EFM) for generating legged robot trajectory in IoT enviornmentms is discussed in this paper. Fuzzy system has been widely used for describing nonlinear systems. In fuzzy system, determination of antecedent and consequent structures of fuzzy model has been one of the most important problems. EFM is described which carries out evolving antecedent and consequent structure of fuzzy system for legged robot. To generate the robot trajectory, parameters of each structure in the fuzzy system are tuned automatically by the EFM. The results demonstrate the performance of the proposed approach for the legged robot.

State-of-the-art 3D GIS: System Development Perspectives

  • Kim, Kyong-Ho;Lee, Ki-Won;Lee, Jong-Hun;Yang, Young-Kyu
    • Proceedings of the KSRS Conference
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    • 1998.09a
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    • pp.153-158
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    • 1998
  • Since the mid-1990′s, researches on 3D GIS have been regarded as one of main issues both in the academic sites and commercial vendors; recently, some prototyped systems or the first versioned software systems of commercial basis are being reported and released. Unlike conventional 2D GIS, which consists in intelligent structured GIS or desktop GIS, every 3D GIS has its own distinguished features according to data structure-supporting capability, GIS-styled functionality, external database accessibility, interfacing extents with 2D GIS, 3D visualization/texture mapping ability, and so forth. In this study, technical aspects related to system development, SERI-Web3D GIS ver. 1.2, are explained. Main features in this revised 3D GIS can be summarized: 2-tier system model(client-server), VGFF(Virtual GIS File Format), internal GIS import, Feature manager(zoning, layering, visualization evironment), Scene manager(manage 3D geographic world), Scene editor, Spatial analyzer(Intersect, Buffering, Network analysis), VRML exporter. While, most other 3D GISes or cartographic mapping systems may be categorized into 3D visualization systems handling terrain height-field processing, 2D GIS extension modules, or 3D geometric feature generation system using orthophoto image: actually, these are eventually considered as several parts of "real 3D GIS". As well as these things, other components, especially web-based 3D GIS, are being implemented in this study: Surface/feature integration, Java/VRML linkage, Mesh/Grid problem, LOD(Level of Detail)/Tiling, Public access security problem, 3-tier architecture extension, Surface handling strategy for VRML.

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Characterization of CTL Clones Specific for Single Antigen, H60 Minor Histocompatibility Antigen

  • Jeon, Ji-Yeong;Jung, Kyung-Min;Chang, Jun;Choi, Eun-Young
    • IMMUNE NETWORK
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    • v.11 no.2
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    • pp.100-106
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    • 2011
  • Background: Disparities of Minor H antigens can induce graft rejection after MHC-matched transplantation. H60 has been characterized as a dominant antigen expressed on hematopoietic cells and considered to be an ideal model antigen for study on graft-versus-leukemia effect. Methods: Splenocytes from C57BL/6 mice immunized with H60 congenic splenocytes were used for establishment of H60-specific CTL clones. Then the clones were characterized for proliferation capacity and cytotoxicity after stimulation with H60. Clone #14, #15, and #23 were tested for the TCR binding avidity to H60-peptide/$H-2K^b$ and analyzed for TCR sequences. Results: H60-specific CTL clones showed different levels of proliferation capacity and cytotoxic activity to H60-stimulation. Clones #14, #15, and #23 showed high proliferation activity, high cytotoxicity, and low activities on both aspects, respectively, and have TCRs with different binding avidities to H60-peptide/$H-2K^b$ with $t_{1/2}$ values of 4.87, 6.92, and 13.03 minutes, respectively. The TCR usages were $V{\alpha}12D-3-01+J{\alpha}11-01$ and $V{\beta}12-1-01+D{\beta}1-01+J2-7-01$ for clone #14, $V{\alpha}13D-1-02+J{\alpha}34-02$ and $V{\beta}13-1-02+D{\beta}2-01+J{\beta}2-7-01$ for clone #15, and $V{\alpha}16D+J{\alpha}45-01$ and $V{\beta}12-1-01+D{\beta}1-01+J{\beta}2-5-01$ for clone #23. Conclusion: The results will be useful for modeling GVL and generation TCR transgenic mouse.

A simulation technique to create dataset of RFID business events (RFID 비즈니스 이벤트 데이터셋의 생성을 위한 시뮬레이션 기법)

  • Ryu, Wooseok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.289-291
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    • 2013
  • As an wireless identification technology, RFID is now extending its application area including logistics, medicine, and healthcare. Adoption of RFID demands high cost such as h/w, s/w, and so on. To adopt RFID, we need to evaluate validity of application area and feasibility of RFID S/W such as EPC Information Service (EPCIS), which demands a variety of RFID test datasets. In this paper, I propose a novel method for generating RFID business events dataset by means of the simulation of RFID application environment. Proposed method can generate near-real RFID event dataset by means of representing various RFID application environment into abstract network model based on petri-net. In addition, it can also be useful when determining adoption of RFID as well as when evaluating RFID system.

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A Study on Telcos′ Strategies to Digital Converged Service and Its Prospects; Focusing on TV-based VOD Service (통신사업자의 통신방송 융합사업 진출전략 및 전망 - TV-based VOD를 중심으로 -)

  • 조병선;황호영
    • Journal of Korea Technology Innovation Society
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    • v.7 no.2
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    • pp.459-479
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    • 2004
  • As the high-speed internet access market steadily nears its maturity phase, growth is quickly tapering off and competition, intensifying. As a result telecommunications companies are at present faced with the urgent need to evolve away from a growth model based on continuous acquisition of new subscribers. The recent convergence of telecommunication and broadcasting has come about precisely at this transitional period in the telecommunications market, and is perceived by the industry both as a new business opportunity and as a threat. TV-based VOD(Video on Demand), for one, is able to attract new customers desiring multimedia services of superior quality and to lock-in existing customers. Meanwhile, the latest evolution in network development is brightening the market prospect for TV-based VOD. The service has now hit the market, deployed over VDSL networks - a next-generation high-speed internet - and advanced cable modem networks, delivering high-definition DVD-quality videos. TV-based VOD is a service whose deployment is closely linked to the evolution of subscriber networks. According to the forecast produced by the present study, based on the forecast on the post-ADSL market and a survey conducted on VOD, as post-ADSL subscribers increase from 1.53 million in 2003 to 4.44 million in 2004, and 9.87 million in 2006, the percentage of post-ADSL subscribers with intention to also subscribe to a VOD service is expected to rise from 16% to 34% in 2006. Accordingly, VOD subscribers are estimated to increase from 0.24 million in 2003 to 0.98 million in 2004 and to 3.35 million in 2006.

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A Study on the Synthetic ECG Generation for User Recognition (사용자 인식을 위한 가상 심전도 신호 생성 기술에 관한 연구)

  • Kim, Min Gu;Kim, Jin Su;Pan, Sung Bum
    • Smart Media Journal
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    • v.8 no.4
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    • pp.33-37
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    • 2019
  • Because the ECG signals are time-series data acquired as time elapses, it is important to obtain comparative data the same in size as the enrolled data every time. This paper suggests a network model of GAN (Generative Adversarial Networks) based on an auxiliary classifier to generate synthetic ECG signals which may address the different data size issues. The Cosine similarity and Cross-correlation are used to examine the similarity of synthetic ECG signals. The analysis shows that the Average Cosine similarity was 0.991 and the Average Euclidean distance similarity based on cross-correlation was 0.25: such results indicate that data size difference issue can be resolved while the generated synthetic ECG signals, similar to real ECG signals, can create synthetic data even when the registered data are not the same as the comparative data in size.

Active Distribution System Planning for Low-carbon Objective using Cuckoo Search Algorithm

  • Zeng, Bo;Zhang, Jianhua;Zhang, Yuying;Yang, Xu;Dong, Jun;Liu, Wenxia
    • Journal of Electrical Engineering and Technology
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    • v.9 no.2
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    • pp.433-440
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    • 2014
  • In this study, a method for the low-carbon active distribution system (ADS) planning is proposed. It takes into account the impacts of both network capacity and demand correlation to the renewable energy accommodation, and incorporates demand response (DR) as an available resource in the ADS planning. The problem is formulated as a mixed integer nonlinear programming model, whereby the optimal allocation of renewable energy sources and the design of DR contract (i.e. payment incentives and default penalties) are determined simultaneously, in order to achieve the minimization of total cost and $CO_2$ emissions subjected to the system constraints. The uncertainties that involved are also considered by using the scenario synthesis method with the improved Taguchi's orthogonal array testing for reducing information redundancy. A novel cuckoo search (CS) is applied for the planning optimization. The case study results confirm the effectiveness and superiority of the proposed method.

Study on the Propagation Speed of the wide-area power system frequency for the application of FNET (광역 전력계통 주파수 감시망 적용을 위한 광역계통주파수의 전파속도에 관한 연구)

  • Kook, Kyung-Soo;Rho, Dae-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.8
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    • pp.1824-1831
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    • 2009
  • This paper analyzes the propagation speed of the wide-area power system frequency. When a generator supplying the electric power to the grid is accidently tripped due to a disturbance on the systems, power system frequency suddenly drops during the transient period and this propagates from the location of the tripped generator to the other part of the systems like a wave. Since the propagation speed of the power system frequency depends on the own characteristics of power systems, its understanding from the perspective of the wide-area can help us in understanding power systems more correctly. In addition, the propagation speed of the power system frequency is used as a key parameter in the application study of IT based on the internet-based GPS synchronized frequency monitoring network (FENT) which has been recently implemented and operated in U.S. power systems. This paper simulates the generation trip on various locations in U.S. power systems deploying its latest dynamic model and calculates the propagation speed of the power system frequency for the application of FNET.