• 국제학술발표논문집
• /
• The 3th International Conference on Construction Engineering and Project Management
• /
• pp.250-256
• /
• 2009

This paper presents a robotic tower-crane system using encoder and gyroscope sensors as path tracking devices. Tower crane work is often associated with falling accidents and industrial disasters. Such problems often incur a loss of time and money for the contractor. For this reason, many studies have been done on an automatic tower crane. As a part of 5-year 23-million-dollar research project in Korea, we are developing a robotic tower crane which aims to improve the safety level and productivity. We selected a luffing tower crane, which is commonly used in urban construction projects today, as a platform for the robotic tower crane system. This system comprises two modules: the automated path planning module and the path tracking module. The automated path planning system uses the 3D Cartesian coordinates. When the robotic tower crane lifts construction material, the algorithm creates a line, which represents a lifting path, in virtual space. This algorithm seeks and generates the best route to lift construction material while avoiding known obstacles from real construction site. The path tracking system detects the location of a lifted material in terms of the 3D coordinate values using various types of sensors including adopts encoder and gyroscope sensors. We are testing various sensors as a candidate for the path tracking device. This specific study focuses on how to employ encoder and gyroscope sensors in the robotic crane These sensors measure a movement and rotary motion of the robotic tower crane. Finally, the movement of the robotic tower crane is displayed in a virtual space that synthesizes the data from two modules: the automatically planned path and the tracked paths. We are currently field-testing the feasibility of the proposed system using an actual tower crane. In the next step, the robotic tower crane will be applied to actual construction sites with a following analysis of the crane's productivity in order to ascertain its economic efficiency.

• International journal of advanced smart convergence
• /
• 제12권4호
• /
• pp.142-146
• /
• 2023

We present a method for generating 3D structures and rendering objects by combining VAE (Variational Autoencoder) and GAN (Generative Adversarial Network). This approach focuses on generating and rendering 3D models with improved quality using residual learning as the learning method for the encoder. We deep stack the encoder layers to accurately reflect the features of the image and apply residual blocks to solve the problems of deep layers to improve the encoder performance. This solves the problems of gradient vanishing and exploding, which are problems when constructing a deep neural network, and creates a 3D model of improved quality. To accurately extract image features, we construct deep layers of the encoder model and apply the residual function to learning to model with more detailed information. The generated model has more detailed voxels for more accurate representation, is rendered by adding materials and lighting, and is finally converted into a mesh model. 3D models have excellent visual quality and accuracy, making them useful in various fields such as virtual reality, game development, and metaverse.

• 대한전기학회논문지:시스템및제어부문D
• /
• 제51권10호
• /
• pp.439-445
• /
• 2002

In this paper force feedback control system is investigated for improving the quality of the haptic feedback in virtual reality applications. We suggested the method of controlling the haptic device and modelling the virtual environment. Haptic device is composed of five bar link structure, voice coil motor, control board, and virtual environment modeling program. We applied voice coil motor in the actuating system for simple structure and easy control. Virtual environment modelling is constructed in PC, and the control signals of the actuators and the encoder data are transferred to the control system through USB. Experiment is performed to evaluate the characteristics of the haptic device.

• 한국통신학회논문지
• /
• 제21권1호
• /
• pp.144-154
• /
• 1996

Proposed numerous algorithms for the policing function have mainly focused on their performances. Besides their performance evaluation, however, the VLSI-implementation of these algorithms is worth consideration as well. Although, no algorithms for the policing function have been standardized up to now, ITU-T I.371 suggests two examples of algorithms, the Virtual Scheduling Algorithm (VSA) and the Continuous State Leaky Bucket algorithm. In this paper, we suggest the architecture of a policing device implementing the VSA among various algorithms for the peak cell rate policing and discuss some issues on the implementation. We also present how to select the policing modes of the two devices used to realize various policing schemes and show the experimental results obtained under four different peak cell rate values to confirm that the device performs the policing function satisfactorily. We exploit the priority encoder to run the algorithm in parallel instead of sequentially, which reduces the operation time to a great extent.

• 방송공학회논문지
• /
• 제25권5호
• /
• pp.723-733
• /
• 2020

본 고에서는 현재 탐색단계의 표준화가 진행 중인 MPEG-I Immersive Audio 표준화 동향을 소개한다. 이 표준은 5G/6G와 같은 초연결 환경에서 킬러 어플리케이션으로 기대되는 가상현실(Virtual Reality; VR) 및 증강현실(Augmemted Reality; AR)에서, 이용자가 가상환경과 상호작용을 통해 6 자유도(Degrees of freedom; DoF)로 소리를 실감나게 느끼고 실제 환경에서 경험하는 것과 같은 공간음향 체험을 제공하는 것을 목표로 한다. 이를 위하여, MPEG Audio Working Group에서는 가상현실 및 증강현실에서 공간음향 체험을 위한 시스템 구조 및 요구사항을 정의하였다. 이를 기반으로 요구사항에 대한 제안 기술 선정을 위한 오디오 평가 플랫폼(Audio evaluation platform; AEP), 인코더 입력 포맷(Encoder input format; EIF) 및 평가 절차 등에 대한 논의를 진행하고 있으며, 본 고에서는 그 주요 내용을 요약 기술한다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제10권12호
• /
• pp.5361-5374
• /
• 2016

Combining channel coding and network coding in a physical layer in a fading channel, generalized joint channel-network coding (G-JCNC) is proved to highly perform in a two-way relay channel (TWRC). However, most relevant discussions are restricted to symmetric networks. This paper investigates the G-JCNC protocols in an asymmetric TWRC (A-TWRC). A newly designed encoder used by source nodes that is dedicated to correlate codewords with different orders is presented. Moreover, the capability of a simple common non-binary decoder at a relay node is verified. The effects of a power match under various numbers of iteration and code lengths are also analyzed. The simulation results give the optimum power match ratio and demonstrate that the designed scheme based on G-JCNC in an A-TWRC has excellent bit error rate performance under an appropriate power match ratio.

• 대한전자공학회논문지SP
• /
• 제47권3호
• /
• pp.23-31
• /
• 2010

모바일 영상 서비스와 센서 네트워크와 같은 저전력, 저복잡도의 비디오 부호기를 필요로 하는 분야의 수요가 증대됨에 따라 프레임간의 상관성을 이용하지 않고 압축함으로써 낮은 복잡도로도 높은 압축률을 얻을 수 있는 분산 비디오 코딩에 대한 연구가 활발하게 진행되고 있다. 분산 비디오 코딩에서 부호기는 오류정정 부호기를 이용하여 원래 영상보다 압축된 형태의 신드롬을 생성한다. 반면, 복호기에서는 원본 영상을 추정하고 부호기에서 만들어진 신드롬을 이용하여 추정한 원본 영상의 오류를 정정한다. 이 때, 추정된 원본 영상을 보조 정보라 하며, 보조 정보는 원본 영상이 가상의 상관 채널을 통해 얻어진 영상이라 해석할 수 있다. 분산 비디오 코딩의 성능 향상을 위해서는 오류 정정 복호기와 최적 복원과정의 성능향상이 필요하며, 두 과정 모두 가상의 상관 채널의 정확도에 영향을 받는다. 본 논문에서는 오류 정정 복호기와 복원과정에서 최적의 입력값을 예측하기 위하여, 상관 채널의 구성 파라미터의 정확한 추정을 위한 효과적인 알고리즘들을 제안한다. 일반적으로 상관 채널은 라플라시안 분포로 모델링 되는데, 이 분포와 실제 채널 측정값과의 자승오류를 최소화 하는 알고리즘인 최소자승법 및 복잡도를 낮춘 변형된 알고리즘을 제안하였다. 또한, 신뢰구간 설정으로 기존의 채널 파라미터 추정 알고리즘을 사용할 때 오류를 줄이는 방법을 제안하였다. 제안된 알고리즘으로 Mother 영상과 Foreman 영상에서 각각 최대 PSNR이득 1.8 dB와 1.1 dB를 얻었으며, 특히 상관도가 낮은 영역에서 더 효과적인 성능 개선을 보인다.

• Journal of Electrical Engineering and Technology
• /
• 제9권6호
• /
• pp.1928-1934
• /
• 2014

Induction motors are widely used due to their rugged, robust and easy to care features. Since they are heavily used in industry, testing of three phase induction motors have play a vital role. In order to determine motor equivalent circuit parameters, efficiency of motor, squirrel caged laboratory sized an induction motor test setup is prepared. It is suitable for the induction motor with the frame size of 100 and 112. A virtual Instrumentation typed engineering workbench (called as LabVIEW) software packet, is utilized as a graphical user interface program. Motor input power is measured by measuring the input voltage, current and power factor with the help of hall effect typed voltage and current transformers. Also, the output power is measured by measuring the speed and torque with the help of an encoder and torque sensor. All outputs of the voltage and current transformer, encoder and temperature, torque sensors are given to the Data Acquisition Card (DAQ) which acquires the data for processing and then the equivalent circuit parameters, efficiency, performance and loading characteristics are found out, using LabVIEW based user interface. It is suggested to use this test rig for the quality control of produced motors in industry, and an educational experiment setup in the school laboratories.

• 방송공학회논문지
• /
• 제28권2호
• /
• pp.213-229
• /
• 2023

본 논문에서는 가상환경에 위치한 청취자의 움직임에 대응하여 실시간으로 6DoF 공간음향을 제공하는 공간음향 렌더링 시스템에 대해 소개한다. 본 시스템은 MPEG-I Immersive Audio CfP 대응을 위하여 MPEG-I AEP를 개발환경으로 사용하여 구현되었으며 인코더와, 디코더를 포함하는 렌더러로 구성된다. 인코더는 인코더 입력 포맷(EIF) 파일에 포함된 가상공간 장면의 공간적 오디오 파라미터와, SOFA 파일로 제공되는 음원의 지향성 정보 등의 메타데이터를 오프라인으로 부호화하여 비트스트림으로 전달하는 역할을 하며, 렌더러는 전달된 비트스트림을 수신하여 청취자의 위치에 따라 실시간으로 6DoF 공간음향 렌더링을 수행한다. 개발된 렌더링 시스템에 적용한 주요 공간음향 처리 기술로는 음원 효과 및 장애물 효과 처리 기술이 있으며, 그 외 시스템 동작에 필요한 기술로는 도플러 효과 및 음장효과 처리 기술 등이 있다. 개발된 시스템에 대한 성능평가 결과로서 자체 주관평가 결과를 소개한다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제6권4호
• /
• pp.1128-1139
• /
• 2012

With the development of three-dimensional display and related technologies, depth video coding becomes a new topic and attracts great attention from industries and research institutes. Because (1) the depth video is not a sequence of images for final viewing by end users but an aid for rendering, and (2) depth video is simpler than the corresponding color video, fast algorithm for depth video is necessary and possible to reduce the computational burden of the encoder. This paper proposes a fast mode decision algorithm for depth video coding based on depth segmentation. Firstly, based on depth perception, the depth video is segmented into three regions: edge, foreground and background. Then, different mode candidates are searched to decide the encoding macroblock mode. Finally, encoding time, bit rate and video quality of virtual view of the proposed algorithm are tested. Experimental results show that the proposed algorithm save encoding time ranging from 82.49% to 93.21% with negligible quality degradation of rendered virtual view image and bit rate increment.