• Title/Summary/Keyword: The Real

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Embedded Real-Time Software Architecture for Unmanned Autonomous Helicopters

  • Hong, Won-Eui;Lee, Jae-Shin;Rai, Laxmisha;Kang, Soon-Ju
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.5 no.4
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    • pp.243-248
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    • 2005
  • The UAV (Unmanned Aerial Vehicle) systems like unmanned autonomous helicopters are used in various missions of flight navigation and used to collect the environmental information of the surroundings. To realize the full functionalities of the UAV, the software part becomes a challenging problem. In this paper embedded real-time software architecture for unmanned autonomous helicopter is proposed that guarantee real-time performance of hard-real time tasks and re-configurability of soft-real time and non-real time tasks. The proposed software architecture has four layers: hardware, execution, service agent and remote user interface layer according to the reactiveness level for external events. In addition, the layered separation of concurrent tasks makes different kinds of mission reconfiguration possible in the system. An Unmanned autonomous helicopter system was implemented (Kyosho RC Helicopter) in our lab to test and evaluate the performance of the proposed system.

The Effect of Real Estate Information Systems Quality on System Use and User Satisfaction (부동산정보시스템품질이 시스템 활용과 이용자 만족에 미치는 영향)

  • Lee, Chan Ho;Moon, Hong Kook
    • Journal of Digital Convergence
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    • v.11 no.11
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    • pp.243-249
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    • 2013
  • In our country, the real estate information system is operated by public and private institutions to trade real estate effectively from the 1990s. The purposes of this study is as follows: First, this study is aimed to examine how the system quality, information quality and service quality of the real estate IS is related with the system use and user satisfaction. In addition real estate practitioners and real estate non-practitioners is to investigated how different. Regression and t-test analysis was carried out as statistical analysis and survey data was used. The result is as follows: First, in the real estate non-practitioners group, system quality has significant negative impact on the user satisfaction. Second, information quality has significant impact on the user satisfaction in the real estate non- practitioners group. One limitation of this study is that it is limited to the real estate agents among various groups that use the IS. Thus, in the future studies, the target group should be extended to other various groups and more specific IS among various ones should be studied in a more practical way.

The Impact of Real Estate Value Changes on Retirement Preparation : Focusing on Private Pensions (부동산의 가격변화가 노후준비에 미치는 영향 : 사적연금을 중심으로)

  • Kim, Dae Hwan;Lee, Dong Hyun
    • Korea Real Estate Review
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    • v.28 no.3
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    • pp.53-64
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    • 2018
  • OECD countries have been stimulating private pensions instead of public pensions because the financial stability of public pensions has been threatened by the aging population. Korea, which has the fastest aging population in the world, has been following the recommended policies of major countries. Unlike major economies, however, most of Korea's household assets are composed of real estate assets. Due to the economic and social importance of real estate assets in Korea, the wealth effect of real estate has been used as a major tool in macroeconomic policy. This study analyzed the effect of real estate value changes on the contribution of private pensions (personal pension + retirement pension). Utilizing a two-way, fixed effect model with the balanced panel data of the National Survey of Tax and Benefit, empirical results presented that the private pension contribution increased by 0.171% when the value of real estate increased by 1%. Thus, real estate value changes were analyzed as positive for retirement preparation through private pension. These results suggested that if the real estate market would shrink in the future, consumption would decrease, and the degree of preparation for retirement might be smaller.

The Valuation of RFID Using Fuzzy Real Option (퍼지실물옵션을 이용한 RFID 투자가치평가)

  • Lee, Young-Chan;Lee, Seung-Seok
    • Knowledge Management Research
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    • v.9 no.4
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    • pp.113-125
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    • 2008
  • Net present value (NPV) and return on investment (ROI) are commonly used to evaluate investment in new technologies. Sometimes, however, measuring the value of investment in new IT becomes very difficult due to its wide scope of application coupled with embedded options in its adoption. Therefore, comprehensive but easily understandable methodologies are needed to solve the complicated problems resulting from the complexity of new technologies. This paper employs a real option analysis to evaluate RFID adoption in the supply chain. Real options analysis should be a better way to evaluate a disruptive technology like RFID. However, the pure (probabilistic) real option rule characterizes the present value of expected cash flows and the expected costs by a single number, which is not realistic in many cases. To solve the problem, this paper considers the real option rule in a more realistic setting, namely, when the present values of expected cash flows and expected costs are estimated by trapezoidal fuzzy numbers.

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Supporting Intermediate-node Mobility in CCN Real-time Service (CCN 실시간 서비스에서 중간노드의 이동성 지원)

  • Lee, Eunkwan;Kwon, Taewook
    • Journal of Korea Multimedia Society
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    • v.20 no.9
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    • pp.1527-1540
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    • 2017
  • Recently, due to the rapid development of the internet, the production and demand of high capacity contents are rapidly increasing. In order to accommodate the changing trend of internet usage, researches on CCN, the future internet architecture, are actively being conducted. Mobility support is an important challenge in CCN real-time services, given that today's internet environment is changing to mobile and real-time services are increasing. In CCN real-time services, the mobility problem can be largely divided into consumer mobility, provider mobility, and intermediate-node mobility. Among them, when the intermediate-node moves in the CCN real-time services, the service disconnection occurs and the QoS degradation is caused. In this paper. we propose Intermediate-Node Mobility Support(INMS) to support the intermediate-node mobility in CCN real-time services. Experimental results show that the proposed scheme shows better performance than CCN in terms of service disconnection time and packet loss.

Real-time Hybrid Path Planning Algorithm for Mobile Robot (이동로봇을 위한 실시간 하이브리드 경로계획 알고리즘)

  • Lee, Donghun;Kim, Dongsik;Yi, Jong-Ho;Kim, Dong W.
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.1
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    • pp.115-122
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    • 2014
  • Mobile robot has been studied for long time due to its simple structure and easy modeling. Regarding path planning of the mobile robot, we suggest real-time hybrid path planning algorithm which is the combination of optimal path planning and real-time path planning in this paper. Real-time hybrid path planning algorithm modifies, finds best route, and saves calculating time. It firstly plan the route with real-time path planning then robot starts to move according to the planned route. While robot is moving, update the route as the best outcome which found by optimal path planning algorithm. Verifying the performance of the proposed method through the comparing real-time hybrid path planning with optimal path planning will be done.

Propagation Neural Networks for Real-time Recognition of Error Data (에라 정보의 실시간 인식을 위한 전파신경망)

  • Kim, Jong-Man;Hwang, Jong-Sun;Kim, Young-Min
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2001.11b
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    • pp.46-51
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    • 2001
  • For Fast Real-time Recognition of Nonlinear Error Data, a new Neural Network algorithm which recognized the map in real time is proposed. The proposed neural network technique is the real time computation method through the inter-node diffusion, In the network, a node corresponds to a state in the quantized input space. Each node is composed of a processing unit and fixed weights from its neighbor nodes as well as its input terminal. The most reliable algorithm derived for real time recognition of map, is a dynamic programming based algorithm based on sequence matching techniques that would process the data as it arrives and could therefore provide continuously updated neighbor information estimates. Through several simulation experiments, real time reconstruction of the nonlinear map information is processed,

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Propagation Neural Networks for Real-time Recognition of Error Data (에라 정보의 실시간 인식을 위한 전파신경망)

  • 김종만;황종선;김영민
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2001.11a
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    • pp.46-51
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    • 2001
  • For Fast Real-time Recognition of Nonlinear Error Data, a new Neural Network algorithm which recognized the map in real time is proposed. The proposed neural network technique is the real time computation method through the inter-node diffusion. In the network, a node corresponds to a state in the quantized input space. Each node is composed of a processing unit and fixed weights from its neighbor nodes as well as its input terminal. The most reliable algorithm derived for real time recognition of map, is a dynamic programming based algorithm based on sequence matching techniques that would process the data as it arrives and could therefore provide continuously updated neighbor information estimates. Through several simulation experiments, real time reconstruction of the nonlinear map information is processed.

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Estimation of Real Boundary with Subpixel Accuracy in Digital Imagery (디지털 영상에서 부화소 정밀도의 실제 경계 추정)

  • Kim, Tae-Hyeon;Moon, Young-Shik;Han, Chang-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.8
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    • pp.16-22
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    • 1999
  • In this paper, an efficient algorithm for estimating real edge locations to subpixel values is described. Digital images are acquired by projection into image plane and sampling process. However, most of real edge locations are lost in this process, which causes low measurement accuracy. For accurate measurement, we propose an algorithm which estimates the real boundary between two adjacent pixels in digital imagery, with subpixel accuracy. We first define 1D edge operator based on the moment invariant. To extend it to 2D data, the edge orientation of each pixel is estimated by the LSE(Least Squares Error)line/circle fitting of a set of pixels around edge boundary. Then, using the pixels along the line perpendicular to the estimated edge orientation the real boundary is calculated with subpixel accuracy. Experimental results using real images show that the proposed method is robust in local noise, while maintaining low measurement error.

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Modeling and Control of a Doubly-Fed Induction Generator (DFIG) Wind Power Generation System for Real-time Simulations

  • Byeon, Gil-Sung;Park, In-Kwon;Jang, Gil-Soo
    • Journal of Electrical Engineering and Technology
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    • v.5 no.1
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    • pp.61-69
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    • 2010
  • This paper presents a study of a DFIG wind power generation system for real-time simulations. For real-time simulations, the Real-Time Digital Simulator (RTDS) and its user friendly interface simulation software RSCAD are used. A 2.2MW grid-connected variable speed DFIG wind power generation system is modeled and analyzed in this study. The stator-flux oriented vector control scheme is applied to the stator/rotor side converter control, and the back-to-back PWM converters are implemented for the decoupled control. The real-wind speed signal extracted by an anemometer is used for a realistic, reliable and accurate simulation analysis. Block diagrams, a mathematical presentation of the DFIG and a control scheme of the stator/rotor-side are introduced. Real-time simulation cases are carried out and analyzed for the validity of this work.