• Title/Summary/Keyword: Fusion Technique

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Fatigue Crack Propagation of Sliding Core in Artificial Intervertebral Disc due to the Fatigue Loading Mode (인공추간판의 피로하중 모드에 따른 슬라이딩 코어의 피로균열전파 거동)

  • Kim Cheol-Woong;Kang Bong-Su
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.367-368
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    • 2006
  • Today, the Artificial Intervertebral Disc (AID) is being developed by increasing the oblique of the endplate gradually. In other words, Ultra-high Molecular Weight Polyethylene (UHMWPE) which is apply to the sliding core of the AID, does not change the shape but alters the oblique of endplate. However, the unreasonable increase of degree of freedom (DOF) can result in the aggravation of the bone fusion and the initial stability and it can also lead to the increase of the concentrated force in core. For these reasons, it is necessary to develop the advanced techniques, which choose the most adequate DOF. In this study, the new optimized modeling of the sliding core and the endplate, the fatigue characteristics, the crack propagation and the formation mechanism of wearing debris was studied and the minimizing technique will be derived from this research.

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Clinical Application of MRI in an Animal Bone Graft Model

  • Liu, Xiaochen;Jia, Wenxiao;Jin, Gele;Wang, Hong;Ma, Jingxu;Wang, Yunling;Yang, Yi;Deng, Wei
    • Journal of Magnetics
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    • v.18 no.2
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    • pp.142-149
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    • 2013
  • We aim to monitor vascularization of early bone perfusion following rabbit lumbar intertransverse bone graft fusion surgery using magnetic resonance imaging assessment. Correlation with graft survival status was evaluated by histological method. Experimental animals were randomly divided into three groups and the model was established by operating bilateral lumbar intertransverse bone graft with different types of bone graft substitute material. The lumbar intertransverse area of three groups of rabbits was scanned via MRI. In addition, histological examinations were performed at the $6^{th}$ week after surgery and the quantitative analysis of the osteogenesis in different grafted area was carried out by an image analysis system. The MRI technique can be used for early postoperative evaluation of vascularized bone graft perfusion after transplantation of different bone materials, whereas histological examination allows direct visualization of the osteogenesis process.

Thermal Flow Analysis and Design of KSTAR Thermal Shield Panel by Numerical Method (수치해석을 통한 KSTAR 주장치 열차폐 패널 열.유동 특성해석)

  • 김동락;김광선;노영미;조승연;김승현
    • Progress in Superconductivity and Cryogenics
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    • v.4 no.2
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    • pp.73-77
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    • 2002
  • In order to derive the detailed design of Thermal Shield Cryopanel. which plays a role to make the Tokamak Nuclear Fusion Equipment work at both static and efficient conditions the commercially available software package FLUENT Version 5.3, was utilized. This study investigated the effects of thermal sources and distributions on the temperatures of Lid. Body. Base. and EH-Port Cryopanel by the numerical technique whose grid generations cover the solid and 9as region of the panel. The physical model of the Thermal Shield Cryopanel is that the 10mm diameter of the pipe with 1mm thickness is soldered on the Stainless steel Panel with 4mm thickness. The heat fluxes to the panel are assumed to be by thermal radiation in the vacuum space and by conduction through the supporters. The inlet conditions of Helium gas are 20 atmospheric Pressures and 60K temperature. The panel shapes with cooling Pipes and the operational conditions to keep appropriate temperature distribution of Thermal Shield Cryopanel Have been found and suggested.

Design of Maneuvering Target Tracking System Using Data Fusion Capability of Neural Networks (신경망의 자료 융합 능력을 이용한 기동 표적 추적 시스템의 설계)

  • Kim, Haeng-Koo;Jin, Seung-Hee;Yoon, Tae-Sung;Park, Jin-Bae;Joo, Young-Hoon
    • Proceedings of the KIEE Conference
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    • 1998.07b
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    • pp.552-554
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    • 1998
  • In target tracking problems the fixed gain Kalman filter is primarily used to predict a target state vector. This filter, however, has a poor precision for maneuvering targets while it has a good performance for non-maneuvering targets. To overcome the problem this paper proposes the system which estimates the acceleration with neural networks using the input estimation technique. The ability to efficiently fuse information of different forms is one of the major capabilities of trained multi-layer neural networks. The primary motivation for employing neural networks in these applications comes from the efficiency with which more features can be utilized as inputs for estimating target maneuvers. The parallel processing capability of a properly trained neural network can permit fast processing of features to yield correct acceleration estimates. The features used as inputs can be extracted from the combinations of innovation data and heading changes, and for this we set the two dimensional model. The properly trained neural network system outputs the acceleration estimates and compensates for the primary Kalman filter. Finally the proposed system shows the optimum performance.

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Studies on Protoplast Formation and Regeneration of Ganoderma lucidum

  • Choi, Seung-Hee;Kim, Byong-Kak;Kim, Ha-Won;Kwak, Jin-Hwan;Park, Eung-Chil;Kim, Young-Choong;Yoo, Young-Bok;Park, Yong-Hwan
    • Archives of Pharmacal Research
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    • v.10 no.3
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    • pp.158-164
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    • 1987
  • To obtain a new strain of Ganoderma lucidum by protoplast fusion technique, its protoplast formation and regeneration were studied. Several factors affecting the protoplast formation and regeneration were investigated to find their optimum conditions. The mycelium was grown for four days on the cellophane membrane placed on G. Incidum complete medium (GCM). When various commercial lytic enzymes were examined for protoplast isolation, the combination of Novozym 234 and $\beta$glucuronidase was found to be effective. An osmotic stabilizer, 0.6 M sucrose in 20 mM phosphate buffer pH 5.8, gave the highest yield of protoplasts. Three-hour incubation in shaking incubator was most suitable for releasing protoplasts. To increase the protoplast yield, pretreatment with 2-mercaptoethanol was carried out. The regeneration frequency in GCM containing 0.6M MgSO$_4$ 7$H_2O$ was shown to be 0.66%.

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Excited-state Intramolecular Proton Transfer of 1,5- and 1,8-Dihydroxyanthraquinones Chemically Adsorpted onto SiO2, SiO2-Al2O3, and Al2O3 Matrices

  • Cho, Dae-Won;Song, Ki-Dong;Park, Seong-Kyu;Jeon, Ki-Seok;Yoon, Min-Joong
    • Bulletin of the Korean Chemical Society
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    • v.28 no.4
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    • pp.647-651
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    • 2007
  • In order to investigate the excited-state intramolecular proton transfer (ESIPT) process of dihydroxyanthraquinones (DHAQ; 1,5-DHAQ and 1,8-DHAQ) in organic-inorganic hybrid matrices, transparent SiO2, SiO2- Al2O3, and Al2O3 matrices chemically bonded with DHAQ were prepared using a sol-gel technique. The absorption maxima of 1,5- and 1,8-DHAQ in SiO2 matrices are observed at around 420 nm, whereas those of DHAQ in both SiO2-Al2O3 and Al2O3 matrices are markedly shifted to longer wavelength compared with those in SiO2 matrix. This indicates that DAHQ forms a chemical bond with an Al atom of Al2O3. The DHAQ in SiO2 matrix shows a markedly Stokes-shifted emission which is originated from the ESIPT in DHAQ. Based on the emission lifetimes of DHAQ, the ESIPT of DHAQ was found to be strongly affected by the chemical interaction with Al atom in the Al2O3-related matrices.

Reduction of GPS Latency Using RTK GPS/GNSS Correction and Map Matching in a Car NavigationSystem

  • Kim, Hyo Joong;Lee, Won Hee;Yu, Ki Yun
    • Journal of Korean Society for Geospatial Information Science
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    • v.24 no.2
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    • pp.37-46
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    • 2016
  • The difference between definition time of GPS (Global Positioning System) position data and actual display time of car positions on a map could reduce the accuracy of car positions displayed in PND (Portable Navigation Device)-type CNS (Car Navigation System). Due to the time difference, the position of the car displayed on the map is not its current position, so an improved method to fix these problems is required. It is expected that a method that uses predicted future positionsto compensate for the delay caused by processing and display of the received GPS signals could mitigate these problems. Therefore, in this study an analysis was conducted to correct late processing problems of map positions by mapmatching using a Kalman filter with only GPS position data and a RRF (Road Reduction Filter) technique in a light-weight CNS. The effects on routing services are examined by analyzing differences that are decomposed into along and across the road elements relative to the direction of advancing car. The results indicate that it is possible to improve the positional accuracy in the along-the-road direction of a light-weight CNS device that uses only GPS position data, by applying a Kalman filter and RRF.

Characteristics of Friction Stir Welded AZ31 Mg Alloys with Shoulder Diameter and Rotating Speed (숄더 지름과 회전 속도에 따른 AZ31 마그네슘합금의 마찰교반접합 특성)

  • Jun, Sang-Hyuk;Ko, Young-Bong;Park, Kyeung-Chae
    • Journal of the Korean institute of surface engineering
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    • v.46 no.1
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    • pp.36-41
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    • 2013
  • Friction stir welding (FSW) is a relatively new joining technique particularly for magnesium and aluminum alloys that are difficult to fusion weld. In this study, AZ31 Mg alloys were joined by FSW with shoulder diameter 11, 19 mm and rotating speed 900, 1200, 1500, 1800 rpm. The shoulder diameter and welding speed depended on the heat input during FSW process. As a result, the microstructures of stir zone were a fine grain by dynamic recrystallization. According to the larger shoulder diameter and the higher rotating speed, refined grain sizes of stir zone were grown by higher heat input, and the microhardness of stir zone was lower. The tensile strength at the shoulder diameter 19 mm, rotating speed 900 rpm was obtained maximum value. This value compared with the base metal was over 93%.

Development of Autonomous Loading and Unloading for Network-based Unmanned Forklift (네트워크 기반 무인지게차를 위한 팔레트 자율적재기술의 개발)

  • Park, Jee-Hun;Kim, Min-Hwan;Lee, Suk;Lee, Kyung-Chang
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.10
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    • pp.1051-1058
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    • 2011
  • Unmanned autonomous forklifts have a great potential to enhance the productivity of material handling in various applications because these forklifts can pick up and deliver loads without an operator and any fixed guide. Especially, automation of pallet loading and unloading technique is useful for enhancing performance of logistics and reducing cost for automation system. There are, however, many technical difficulties in developing such forklifts including localization, map building, sensor fusion, control, and so on. This is because the system requires numerous sensors, actuators, and controllers that need to be connected with each other, and the number of connections grows very rapidly as the number of devices grows. This paper presents a vision sensorbased autonomous loading and unloading for network-based unmanned forklift where system components are connected to a shared CAN network. Functions such as image processing and control algorithm are divided into small tasks that are distributed over a number of microcontrollers with a limited computing capacity. And the experimental results show that proposed architecture can be an appropriate choice for autonomous loading in the unmanned forklift.

Emotion Recognition Algorithm Based on Minimum Classification Error incorporating Multi-modal System (최소 분류 오차 기법과 멀티 모달 시스템을 이용한 감정 인식 알고리즘)

  • Lee, Kye-Hwan;Chang, Joon-Hyuk
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.4
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    • pp.76-81
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    • 2009
  • We propose an effective emotion recognition algorithm based on the minimum classification error (MCE) incorporating multi-modal system The emotion recognition is performed based on a Gaussian mixture model (GMM) based on MCE method employing on log-likelihood. In particular, the reposed technique is based on the fusion of feature vectors based on voice signal and galvanic skin response (GSR) from the body sensor. The experimental results indicate that performance of the proposal approach based on MCE incorporating the multi-modal system outperforms the conventional approach.