• Title/Summary/Keyword: Mapping error

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${H^1}({\Omega})$-NORM ERROR ANALYSIS UNDER NUMERICAL QUADRATURE RULES BY THE P-VERSION OF THE FINITE ELEMENT METHOD

  • Kim, Ik-Sung;Kim, Chang-Geun;Song, Man-Suk
    • Communications of the Korean Mathematical Society
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    • v.9 no.2
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    • pp.467-489
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    • 1994
  • Let $\Omega$ be a closed and bounded polygonal domain in R$^2$, or a closed line segment in R$^1$ with boundary $\Gamma$, such that there exists an invertible mapping T : $\Omega$ \longrightarrow $\Omega$ with the following correspondence: x$\in$$\Omega$ ↔ x = T(x) $\in$$\Omega$, (1.1) and (1.2) t $\in$ U$\sub$p/($\Omega$) ↔ t = to T$\^$-1/ $\in$ U$\sub$p/($\Omega$), where $\Omega$ denotes the corresponding reference elements I = [-1,1] and I ${\times}$ I in R$^1$ and R$^2$ respectively, (1.3) U$\sub$p/($\Omega$) = {t : t is a polynomial of degree $\leq$ p in each variable on $\Omega$}, and (1.4) U$\sub$p/($\Omega$) = {t : t = to T $\in$ U$\sub$p/($\Omega$)}.(omitted)

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Height and Position Estimation of Moving Objects using a Single Camera

  • Lee, Seok-Han;Lee, Jae-Young;Kim, Bu-Gyeom;Choi, Jong-Soo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.158-163
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    • 2009
  • In recent years, there has been increased interest in characterizing and extracting 3D information from 2D images for human tracking and identification. In this paper, we propose a single view-based framework for robust estimation of height and position. In the proposed method, 2D features of target object is back-projected into the 3D scene space where its coordinate system is given by a rectangular marker. Then the position and the height are estimated in the 3D space. In addition, geometric error caused by inaccurate projective mapping is corrected by using geometric constraints provided by the marker. The accuracy and the robustness of our technique are verified on the experimental results of several real video sequences from outdoor environments.

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Baseline Design and Performance Analysis of Laser Altimeter for Korean Lunar Orbiter

  • Lim, Hyung-Chul;Neumann, Gregory A.;Choi, Myeong-Hwan;Yu, Sung-Yeol;Bang, Seong-Cheol;Ka, Neung-Hyun;Park, Jong-Uk;Choi, Man-Soo;Park, Eunseo
    • Journal of Astronomy and Space Sciences
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    • v.33 no.3
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    • pp.211-219
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    • 2016
  • Korea's lunar exploration project includes the launching of an orbiter, a lander (including a rover), and an experimental orbiter (referred to as a lunar pathfinder). Laser altimeters have played an important scientific role in lunar, planetary, and asteroid exploration missions since their first use in 1971 onboard the Apollo 15 mission to the Moon. In this study, a laser altimeter was proposed as a scientific instrument for the Korean lunar orbiter, which will be launched by 2020, to study the global topography of the surface of the Moon and its gravitational field and to support other payloads such as a terrain mapping camera or spectral imager. This study presents the baseline design and performance model for the proposed laser altimeter. Additionally, the study discusses the expected performance based on numerical simulation results. The simulation results indicate that the design of system parameters satisfies performance requirements with respect to detection probability and range error even under unfavorable conditions.

Joint Optimization of Source Codebooks and Channel Modulation Signal for AWGN Channels (AWGN 채널에서 VQ 부호책과 직교 진폭변조신호 좌표의 공동 최적화)

  • 한종기;박준현
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.6C
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    • pp.580-593
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    • 2003
  • A joint design scheme has been proposed to optimize the source encoder and the modulation signal constellation based on the minimization of the end-to-end distortion including both the quantization error and channel distortion. The proposed scheme first optimizes the VQ codebook for a fixed modulation signal set, and then the modulation signals for the fixed VQ codebook. These two steps are iteratively repeated until they reach a local optimum solution. It has been shown that the performance of the proposed system can be enhanced by employing a new efficient mapping scheme between codevectors and modulation signals. Simulation results show that a jointly optimized system based on the proposed algorithms outperforms the conventional system based on a conventional QAM modulation signal set and the VQ codebook designed for a noiseless channel.

A Relationship Management Service for Consistent References Between Domain Objects (도메인객체의 일관성 있는 참조를 위한 연관정보 관리 서비스)

  • Choi, Yun-Seok
    • Journal of Internet Computing and Services
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    • v.8 no.4
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    • pp.129-136
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    • 2007
  • The domain model pattern which belongs to enterprise architecture patterns has reusability, scalability and maintainability. To use the domain model pattern, mapping with persistency layer, transaction management and various services are needed. This paper proposes that relationship management service to solve a consistency error which arises in case of removing domain objects. The proposed relationship management service monitors methods of domain objects and intercepts the flow of control to solve the reference errors. This service is implemented by using AOP(Aspect-Oriented Programming), so it can provide the service without modifications of domain objects and other services.

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Classroom Roll-Call System Based on ResNet Networks

  • Zhu, Jinlong;Yu, Fanhua;Liu, Guangjie;Sun, Mingyu;Zhao, Dong;Geng, Qingtian;Su, Jinbo
    • Journal of Information Processing Systems
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    • v.16 no.5
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    • pp.1145-1157
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    • 2020
  • A convolution neural networks (CNNs) has demonstrated outstanding performance compared to other algorithms in the field of face recognition. Regarding the over-fitting problem of CNN, researchers have proposed a residual network to ease the training for recognition accuracy improvement. In this study, a novel face recognition model based on game theory for call-over in the classroom was proposed. In the proposed scheme, an image with multiple faces was used as input, and the residual network identified each face with a confidence score to form a list of student identities. Face tracking of the same identity or low confidence were determined to be the optimisation objective, with the game participants set formed from the student identity list. Game theory optimises the authentication strategy according to the confidence value and identity set to improve recognition accuracy. We observed that there exists an optimal mapping relation between face and identity to avoid multiple faces associated with one identity in the proposed scheme and that the proposed game-based scheme can reduce the error rate, as compared to the existing schemes with deeper neural network.

Characteristic of the Radiation Heat Flux Distribution for the KIER Solar Furnace (KIER 태양로의 열유속 분포 특성)

  • Chai, Kwan-Kyo;Lee, Hyun-Jin;Kim, Jong-Kyu;Yoon, Hwan-Ki;Lee, Sang-Nam;Kang, Yong-Heack;Seo, Tae-Beom
    • 한국태양에너지학회:학술대회논문집
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    • 2011.11a
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    • pp.74-79
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    • 2011
  • Concentration characteristics of the KIER solar furnace are analyzed with a heat flux measurement technique. Total heat capacity of 40kW was confirmed within 1.04% average error, and the normalized maximum heat flux of 3,452 $kW/m^2$ was proved. Non-Gaussian flux distribution in the vertical direction implies that reflectors should not be random rather inclined downwards. Moreover, we characterized flux distribution variations with furnace blind opening ratio, distance from the focal plane, and misalignment of the measurement system. Based on the results, the heat flux distribution can be simply estimated once reflectivity and direct normal insolation values are known. This study will be helpful to the design and the performance evaluation of receivers or chemical reactors.

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Design of AT-DMB Baseband Receiver SoC

  • Lee, Joo-Hyun;Kim, Hyuk;Kim, Jin-Kyu;Koo, Bon-Tae;Eum, Nak-Woong;Lee, Hyuck-Jae
    • ETRI Journal
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    • v.31 no.6
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    • pp.795-802
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    • 2009
  • This paper presents the design of an advanced terrestrial digital multimedia broadcasting (AT-DMB) baseband receiver SoC. The AT-DMB baseband is incorporated into a hierarchical modulation scheme consisting of high priority (HP) and low priority (LP) stream decoders. The advantages of the hierarchical modulation scheme are backward compatibility and an enhanced data rate. The structure of the HP stream is the same as that of the conventional T-DMB system; therefore, a conventional T-DMB service is possible by decoding multimedia data in an HP stream. An enhanced data rate can be achieved by using both HP and LP streams. In this paper, we also discuss a time deinterleaver that can deinterleave data for a time duration of 384 ms or 768 ms. The interleaving time duration is chosen using the LP symbol mapping scheme. Furthermore, instead of a Viterbi decoder, a turbo decoder is adopted as an inner error correction system to mitigate the performance degradation due to a smaller symbol distance in a hierarchically modulated LP symbol. The AT-DMB baseband receiver SoC is fabricated using 0.13 ${\mu}m$ technology and shows successful operation with a 50 mW power dissipation.

Implementation of Path Finding Method using 3D Mapping for Autonomous Robotic (3차원 공간 맵핑을 통한 로봇의 경로 구현)

  • Son, Eun-Ho;Kim, Young-Chul;Chong, Kil-To
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.2
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    • pp.168-177
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    • 2008
  • Path finding is a key element in the navigation of a mobile robot. To find a path, robot should know their position exactly, since the position error exposes a robot to many dangerous conditions. It could make a robot move to a wrong direction so that it may have damage by collision by the surrounding obstacles. We propose a method obtaining an accurate robot position. The localization of a mobile robot in its working environment performs by using a vision system and Virtual Reality Modeling Language(VRML). The robot identifies landmarks located in the environment. An image processing and neural network pattern matching techniques have been applied to find location of the robot. After the self-positioning procedure, the 2-D scene of the vision is overlaid onto a VRML scene. This paper describes how to realize the self-positioning, and shows the overlay between the 2-D and VRML scenes. The suggested method defines a robot's path successfully. An experiment using the suggested algorithm apply to a mobile robot has been performed and the result shows a good path tracking.

Neural Network-Based Modeling for Fuel Consumption Prediction of Vehicle (차량 연료 소모량 예측을 위한 신경회로망 기반 모델링)

  • Lee, Min-Goo;Jung, Kyung-Kwon;Yi, Sang-Hoi
    • 전자공학회논문지 IE
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    • v.48 no.2
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    • pp.19-25
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    • 2011
  • This paper presented neural network modeling method using vehicle data to predict fuel consumption. To acquire data for training and testing the proposed neural network, medium-class gasoline vehicle drove at downtown and parameters measured include speed, engine rpm, throttle position sensor (TPS), and mass air flow (MAF) as input data, and fuel consumption as target data from OBD-II port. Multi layer perception network was used for nonlinear mapping between the input and the output data. It was observed that the neural network model can predict the vehicle quite well with mean squared error was $1.306{\times}10^{-6}$ for the fuel consumption.