• Title/Summary/Keyword: CR 기법

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Multiscale Wavelet-Galerkin Method in General Two-Dimensional Problems (일반 형상의 2차원 영역에서의 멀티스케일 웨이블렛-갤러킨 기법)

  • Kim, Yun-Yeong;Jang, Gang-Won;Kim, Jae-Eun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.26 no.5
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    • pp.939-951
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    • 2002
  • We propose a new multiscale Galerkin method based on interpolation wavelets for two-dimensional Poisson's and plane elasticity problems. The major contributions of the present work are: 1) full multiresolution numerical analysis is carried out, 2) general boundaries are handled by a fictitious domain method without using a penalty term or the Lagrange multiplier, 3) no special integration rule is necessary unlike in the (bi-)orthogonal wavelet-based methods, and 4) an efficient adaptive scheme is easy to incorporate. Several benchmark-type problems are considered to show the effectiveness and the potentials of the present approach. is 1-2m/s and impact deformation of the electrode depends on the strain rate at that velocity, the dynamic behavior of the sinter-forged Cu-Cr is a key to investigate the impact characteristics of the electrodes. The dynamic response of the material at the high strain rate is obtained from the split Hopkinson pressure bar test using disc-type specimens. Experimental results from both quasi-static and dynamic compressive tests are Interpolated to construct the Johnson-Cook model as the constitutive relation that should be applied to simulation of the dynamic behavior of the electrodes. The impact characteristics of a vacuum interrupter are investigated with computer simulations by changing the value of five parameters such as the initial velocity of a movable electrode, the added mass of a movable electrode, the wipe spring constant, initial offset of a wipe spring and the virtual fixed spring constant.

Growth and characterization of Zn layered-double hydroxide (LDH) based two-dimensional nanostructure

  • Nam, Gwang-Hui;Baek, Seong-Ho;Im, Ji-Su;Lee, Sang-Seok;Park, Il-Gyu
    • Proceedings of the Korean Vacuum Society Conference
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    • 2016.02a
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    • pp.371.1-371.1
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    • 2016
  • 다양한 물질계의 2차원 나노구조는 그래핀과 함께 그 고유특성으로 최근 광전소자, 전자소자, 센서, 에너지 생성 및 저장과 수소에너지 생성 등의 응용으로 매우 많은 관심을 받고 있다. 특히 층상이중수산화물 (layered-double hydroxide; LDH) 2차원 나노구조는 생성의 용이성과 층상 내 금속 이온의 교환을 통한 특성의 자유로운 제어가 가능하므로 많은 관심을 받고 있다. 층상이중수산화물 화합물은 [Zn(1-x) MIII(x)(OH)2][$An-x/n{\cdot}mH2O$] (MIII = Al, Cr, Ga; An- = CO32-, Cl-, NO3-, CH3COO-) 구조로써, Brucite-type 구조 내에서 3가 양이온의 상태에 따라서 다양한 특성을 제어할 수 있는 장점이 있다. 이러한 장점으로 인해 층상이중수산화물 화합물은 촉매나, 에너지 저장, 음이온 교환 및 흡착, 화학적 촉매, 바이오 소자 등에 응용이 연구되고 있으며, 다양한 금속 산화물을 제조하기 위한 중간자 precursor로써도 연구되고 있다. 하지만, 이러한 대부분의 연구들을 통한 결과물들이 분말 및 수용액 상태로 남게 되며, 이러한 화합물의 특성을 제어하기 어려운 문제점이 있다. 더욱이 이러한 나노구조물들을 다양한 소자로 응용하기 위해서는 상용의 실리콘이나 glass 등의 기판형태의 물질상에 성장시킬 수 있어야 하며, 그러한 기판 위에서의 형상 및 특성 제어가 용이해야 한다. 따라서 본 연구에서는 실리콘 기판을 적용한 Zn기반의 층상이중 수산화물 화합물을 성장하고, 하부물질의 조성제어를 통한 층상이중수산화물 화합물의 형상제어가 가능한 기술에 관한 연구를 보고하고자 한다. 이를 위한 하부물질의 조성은 Zn와 Al을 통해 이루어지며, 기형성된 Al2O3박막을 핵형성층으로 활용한다. 이러한 방법으로 형성된 층상이중수산화물 화합물에 대해 이차전자주사현미경, 투과전자현미경 및 X-ray회절기법을 통해 구조분석을 하고, Raman 및 광발광스펙트럼 분석을 통해 광학적 분석을 시행함으로써, 층상이중수산화물이 기판상에서 형성되는 메커니즘에 관한 규명을 시행하였다. 이러한 분석연구를 통해 핵형성층의 에칭 따라 실리콘 기판상에서 성장하는 층상이 중수산화물 화합물의 형상 및 조성이 제어되는 메커니즘을 구명하였다.

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An Improved DSA Strategy based on Triple-States Reward Function (Triple-state 보상 함수를 기반으로 한 개선된 DSA 기법)

  • Ahmed, Tasmia;Gu, Jun-Rong;Jang, Sung-Jeen;Kim, Jae-Moung
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.47 no.11
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    • pp.59-68
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    • 2010
  • In this paper, we present a new method to complete Dynamic Spectrum Access by modifying the reward function. Partially Observable Markov Decision Process (POMDP) is an eligible algorithm to predict the upcoming spectrum opportunity. In POMDP, Reward function is the last portion and very important for prediction. However, the Reward function has only two states (Busy and Idle). When collision happens in the channel, reward function indicates busy state which is responsible for the throughput decreasing of secondary user. In this paper, we focus the difference between busy and collision state. We have proposed a new algorithm for reward function that indicates an additional state of collision which brings better communication opportunity for secondary users. Secondary users properly utilize opportunities to access Primary User channels for efficient data transmission with the help of the new reward function. We have derived mathematical belief vector of the new algorithm as well. Simulation results have corroborated the superior performance of improved reward function. The new algorithm has increased the throughput for secondary user in cognitive radio network.

A study of DDS Middleware based Multimedia PACS Data Transmission Scheme for QoS in Hospital Network (병원 전산망에서 QoS보장을 위한 DDS 미들웨어 기반 멀티미디어 PACS 데이터 전송 기법 연구)

  • Kim, Nam-Ho;Seung, Teak-Young;Lee, Suk-Hwan;Lee, Jong-Keuk;Kwon, Ki-Ryong
    • Proceedings of the Korea Multimedia Society Conference
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    • 2012.05a
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    • pp.462-463
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    • 2012
  • 팍스시스템은 의료 영상을 디지탈화한 시스템이다. PACS데이터는 초창기 CR(Computed Radiography)의 경우 10MB내외의 데이터를 발생하였으나 의료장비의 발전으로 인해 DB(Digital Radiography)는 20MB이상의 데이터를 발생하였다. 또 CT(Computed Tomography)의 경우 0.5MB데이터를 100Slice내외의 데이터를 발생하였으나, 현재는 Cardiac/PET 등의 CT는 Multi Frame을 지원하며 300~5000Slice이상의 데이터를 발생하게 됨에 따라 네트워크에 상당한 트래픽이 발생하여 병원 진료 환경에 심각한 영향을 초래한다. 또한, 스마트 폰, 태블릿 pc등의 발전으로 인해 많은 사용자들은 실시간 또는 멀티미디어와 같은 데이터 표현 방식으로 팍스 데이터를 보길 원할 것이며, 팍스 시스템 또한 그러한 요구조건을 만족시키기 위해 발전하고 있다. 병원에서 사용하는 네트워크는 인터넷 서비스의 모토인 best effort방법을 일반적으로 사용한다. 이러한 데이터 전송방식은 진료에 직접적인 영향을 미치는 팍스 데이터의 전송에 영향을 미칠 수 있다. 특히 네트워크의 트래픽이 제한적인 환경에서 높은 대역폭을 요구하는 멀티미디어 팍스 데이터를 다수의 사용자들이 전송받기 원하면 지연시간으로 인해 원활한 진료진행을 방해 받을 수 있다. 이러한 문제를 해결하기 위해 네트워크 개발자들은 QoS라는 개념을 도입하였고, 여러 계층에서 QoS를 보장하기 위한 연구가 진행되였다. 일반적으로, 네트워크에서 QoS를 지원하기 위한 여러가지 형태의 연구들을 조사하고, 분산 시스템을 제어하기 위한 DDS 미들웨어에 대한 연구를 기반으로 병원 네트워크에서 적용 방안을 설계하고 시뮬레이션을 통해 검증함으로써 새로운 형태의 병원 네트워크를 제안하고자 한다.

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Night Time Leading Vehicle Detection Using Statistical Feature Based SVM (통계적 특징 기반 SVM을 이용한 야간 전방 차량 검출 기법)

  • Joung, Jung-Eun;Kim, Hyun-Koo;Park, Ju-Hyun;Jung, Ho-Youl
    • IEMEK Journal of Embedded Systems and Applications
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    • v.7 no.4
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    • pp.163-172
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    • 2012
  • A driver assistance system is critical to improve a convenience and stability of vehicle driving. Several systems have been already commercialized such as adaptive cruise control system and forward collision warning system. Efficient vehicle detection is very important to improve such driver assistance systems. Most existing vehicle detection systems are based on a radar system, which measures distance between a host and leading (or oncoming) vehicles under various weather conditions. However, it requires high deployment cost and complexity overload when there are many vehicles. A camera based vehicle detection technique is also good alternative method because of low cost and simple implementation. In general, night time vehicle detection is more complicated than day time vehicle detection, because it is much more difficult to distinguish the vehicle's features such as outline and color under the dim environment. This paper proposes a method to detect vehicles at night time using analysis of a captured color space with reduction of reflection and other light sources in images. Four colors spaces, namely RGB, YCbCr, normalized RGB and Ruta-RGB, are compared each other and evaluated. A suboptimal threshold value is determined by Otsu algorithm and applied to extract candidates of taillights of leading vehicles. Statistical features such as mean, variance, skewness, kurtosis, and entropy are extracted from the candidate regions and used as feature vector for SVM(Support Vector Machine) classifier. According to our simulation results, the proposed statistical feature based SVM provides relatively high performances of leading vehicle detection with various distances in variable nighttime environments.

Spectroscopic Imaging at 1.0Tesla MR Unit (1.0Tesla 자기공명 영상장치에서의 분광영상기법에 관한 연구)

  • Yi, Y.;Ryu, T.H.;Oh, C.H.;Ahn, C.B.;Lee, H.K.;Cho, Z.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.11
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    • pp.517-527
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    • 1997
  • Magnetic Resonance Spectroscopic Imaging is a methodology combining the imaging and spectroscopy. It can provide the spectrum of each areas of image so that one can easily compare the spectrum of one position to another position of the image. In this study, we developed pulse sequence or the spectroscopic imaging method, RF wave forms or the saturation of water signal, computer simulations to validate our method, and confirmed the methodology with phantom experiment. Then we applied the spectroscopic method to human subject and identified a few important metabolites in in vivo. To develope a water saturating RF waveform, we used Shinnar-Le-Roux algorithm and obtained maximum phase RF waveform. With this RF pulse, it could suppress the water signal to 1:1000. The magnet is shimmed to under 1.0ppm with auto-shimming technique. The saturation bandwidth is 80Hz(2ppm). The water and fat seperation is 3.3ppm(about 140Hz at 1 Tesla magnet), the bandwidth is enough to resolve the difference. But we are more concerned about the narrow window in between the two peaks, in which the small quantity of metabolites reside. We performed the computer simulation and phantom experiments in 8*8 matrix form and showed good agreement in the image and spectrum. Finally we applied spectroscopic imaging to the brain of human subject. Only the lipid signal was shown in the periphery region which agrees with the at distribution in human head surface area. The spectrum inside the brain shows the important metabolites such as NAA, Cr/PCr, Choline. We here have shown the spectroscopic imaging which is normally done above 1.5 Tesla machine can be performed in the 1 Tesla Magnetic Resonance Imaging Unit.

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Relative Efficiency of Korea Trucking Transport Business Using DEA Model (DEA를 이용한 국내 화물자동차 운송업의 상대적 효율성분석)

  • Chang, Myung-Hee
    • The Journal of the Korea Contents Association
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    • v.10 no.12
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    • pp.328-341
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    • 2010
  • Korea Trucking Transport Business is one of principal national logistics sector, though, so many issues and problems came to arises, which brought cargo transport system crisis over the country such as logistics enormous jam and traffic. This paper analyzes the efficiency of korean trucking transport business firms using DEA model. We evaluate the CCR, BCC efficiency and RTS of 30 trucking transport firms. We also suggest the trucking transport firms which can be benchmarked based on analyzed information. The result shows that seven enterprises whose values of CCR efficiency are 1, and fifteen enterprises whose values of BCC efficiency are 1. RTS indicates IRS of 16 firms, DRS of 5 firms and CRS of 9 firms.

Microbial Community Analysis in the Wastewater Treatment of Hypersaline-Wastewater (고농도 염분폐수의 정화능이 우수한 기능성 미생물 커뮤니티의 군집 분석)

  • Lee, Jae-Won;Kim, Byung-Hyuk;Park, Yong-Seok;Song, Young-Chae;Koh, Sung-Cheol
    • Microbiology and Biotechnology Letters
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    • v.42 no.4
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    • pp.377-385
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    • 2014
  • In this study, a wastewater treatment system for hypersaline wastewater utilizing the Hypersaline Wastewater Treatment Community (HWTC) has been developed. The hypersaline wastewater treatment efficiency and microbial community of the HWTC were investigated. The average removal efficiencies of chemical oxygen demand were 84% in an HRT of 2.5 days. Microbial community analysis, by denaturing gradient gel electrophoresis (DGGE) of PCR-amplified 16S rRNA gene fragments and 16S rRNA gene clone library, revealed community diversity. The 16S rRNA gene analysis of dominant microbial bacteria in 4% hypersaline wastewater confirmed the presence of Halomonas sp. and Paenibacillus sp. Phylogenetic analysis suggested that the taxonomic affiliation of the dominant species in the HWTC was ${\gamma}$-proteobacteria and firmicutes. These results indicate the possibility that an appropriate hypersaline wastewater treatment system can be designed using acclimated sludge with a halophilic community.

A Channel Selection Algorithm Based on Fuzzy Logic and Learning Automata for Cognitive Radio Sensor Networks (무선 인지 센서 네트워크를 위한 퍼지 및 러닝 오토메타 기반의 채널 선택 기법)

  • Truong, Anh Tuan;Koo, In-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.1
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    • pp.23-28
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    • 2011
  • In this paper, we propose a channel selection scheme for secondary users in cognitive radio sensor networks, which includes learning automata and fuzzy logic system (FLS). In the proposed scheme, FLS is used as the channel selection mechanism while the learning automata algorithm is being used to learn the radio environment such as channel link quality. Signal to noise ratio of the link between primary user (PU) and secondary user (SU), the probability of choosing channel, and signal to noise ratio of the link between secondary users are chosen as input parameters for the FLS to decide one data channel among multiple channels. Simulation results show that the proposed scheme does indeed provide advantages in improving the throughput of CR networks, in comparison with some other previous schemes.

DL Radio Transmission Technologies for WRAN Applications : Adaptive Sub-channel Allocation and Stationary Beamforming Algorithms for OFDMA CR System (WRAN 응용을 위한 하향링크 무선전송 방식 : OFDMA 상황인식 시스템에서의 적응 부채널 할당 및 고정 빔 형성 기법)

  • Kim Jung-Ju;Ko Sang-Jun;Chang Kyung-Hi
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.3A
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    • pp.291-303
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    • 2006
  • In this paper, we analyze functional requirements of the IEEE 802.22 WRAN, and propose a downlink 프레임 structure satisfying the requirements. The proposed downlink 프레임 structure maximizes e transmission efficiency by adopting the cognative radio to assign the sub-channel by reflecting the channel environment of WRAN. We also calculate the signalling overhead for both downlink and uplink, and analyze the performances of time synchronization, frequency synchronization and cell identification based on the 프리앰블 in downlink and suggest the channel estimation method tough 프리앰블 or pilot. As a final result, e stationary beamforming (SBF) algorithm with dynamic channel allocation(DCA) is proposed. The proposed OFDMA downlink 프레임 structure with channel adaptive sub-channel allocation for cognitive radio applications is verified to meet the requirements of IEEE 802.22 WRAN, by computer simulations.