• Title/Summary/Keyword: Matching Network

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5MHz-2GHz에서 동작하는 광대역 증폭기의 설계 및 제작

  • 박천석
    • Proceedings of the Optical Society of Korea Conference
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    • 1990.02a
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    • pp.136-140
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    • 1990
  • A hybrid wideband amplifier having bandwidth from 5MHz to 2000MHz with a gain of 10db$\pm$3dB is designed and implemented by using a lossy matched network and GaAs FET. The implemented amplifier circuit operates as a capacitor-resistor(C-R) coupled amplifier circuit in the low frequency range (below 800 MHz) in which {{{{ LEFT $\mid$ S_{21 } RIGHT $\mid$ }} for the GaAs FET is constant. It also operates as a lossless impedance matching circuit in the microwave frequency range in which S21 for the GaAs FET has a slope of approximately -6dB/octave. Using this configuration technique, Two stage GaAs FET amplifier implemented is measured to 10dB gain within a 3dB fluctuation over the frequency band from 5 to 2000MHz.

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ZPerformance Improvement of ART2 by Two-Stage Learning on Circularly Ordered Learning Sequence (순환 배열된 학습 데이터의 이 단계 학습에 의한 ART2 의 성능 향상)

  • 박영태
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.5
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    • pp.102-108
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    • 1996
  • Adaptive resonance theory (ART2) characterized by its built-in mechanism of handling the stability-plasticity switching and by the adaptive learning without forgetting informations learned in the past, is based on an unsupervised template matching. We propose an improved tow-stage learning algorithm for aRT2: the original unsupervised learning followed by a new supervised learning. Each of the output nodes, after the unsupervised learning, is labeled according to the category informations to reinforce the template pattern associated with the target output node belonging to the same category some dominant classes from exhausting a finite number of template patterns in ART2 inefficiently. Experimental results on a set of 2545 FLIR images show that the ART2 trained by the two-stage learning algorithm yields better accuracy than the original ART2, regardless of th esize of the network and the methods of evaluating the accuracy. This improvement shows the effectiveness of the two-stage learning process.

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Characterization and Construction of Chemical Vapor Deposition by using Plasma (rf 플라즈마 화학기상증착기의 제작 및 특성)

  • 김경례;김용진;현준원;이기호;노승정;최병구
    • Journal of the Korean institute of surface engineering
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    • v.33 no.2
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    • pp.69-76
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    • 2000
  • The rf plasma chemical vapor deposition is a common method employed for diamond or amorphous carbon deposition. Diamond possesses the strongest bonding, as exemplified by a number of unique properties-extraordinary hardness, high thermal conductivity, and a high melting tempera tore. Therefore, it is very important to investigate the synthesis of semiconducting diamond and its use as semiconductor devices. An inductively coupled rf plasma CVD system for producing amorphous carbon films were developed. Uniform temperature and concentration profiles are requisites for the deposition of high quality large-area films. The system consists of rf matching network, deposition chamber, pumping lines for gas system. Gas mixtures with methane, and hydrogen have been used and Si (100) wafers used as a substrate. Amorphous carbon films were deposited with methane concentration of 1.5% at the process pressure of S torr~20 torr, and process temperature of about $750^{\circ}C$. The nucleation and growth of the amorphous carbon films have been characterized by several methods such as SEM and XRD.

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The Effects of Substrate, Metal-line, and Surface Material on the Performance of RFID Tag Antenna

  • Cho, Chi-Hyun;Choo, Ho-Sung;Park, Ik-Mo
    • Journal of electromagnetic engineering and science
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    • v.7 no.1
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    • pp.47-52
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    • 2007
  • We investigated the effects of substrate, metal-line, and surface material on the performance of radio frequency identification(RFID) tag antenna using a tag antenna with a meander line radiator and T-matching network. The results showed that readability of the tag antenna with a thin high-loss substrate could be increased so that it was similar to that of a low-loss substrate if the substrate was very thin. The readability of the tag antenna decreased significantly when the metal line was thinner than the skin depth. The readability of the tag also decreased drastically when the tag was attached to high-permittivity high-loss target objects.

A Study on the Introduction and Implications of the Bank Payment Obligation under SWIFT's Trade Services Utility (글로벌 전자무역에서 SWIFT의 TSU BPO의 도입과 과제)

  • Chae, Jin-Ik
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.49
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    • pp.409-434
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    • 2011
  • SWIFT has designed Trade Services Utility(TSU) to meet the new paradigm of electronic trade. The Trade Services Utility is a matching and workflow application that sits on the SWIFT network. The TSU is designed to help banks offer advanced supply chain services to their corporate customers who are involved in open account trading. Nowadays, the Bank payment obligation(BPO) can optionally be included in a baseline by mutual consent. The BPO is an irrevocable and conditional obligation of an obligor bank(buyers bank) to pay a specified amount to seller's bank according to an established baseline of a single TSU transaction. Therefore, SWIFT enables its customers to automate and standardise financial transactions, thereby lowering costs, reducing operational risk and eliminating inefficiencies from their operations. Whereas, Banks can use the core functionality of the Trade Services Utility to offer competitive services that complement existing services. But SWIFT need to come up with the measures of activating the TSU BPO. So, this paper is to introduce TSU BPO and check the measures for the activation of the TSU BPO under the electronic trade environment.

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Optimization of Microwave Absorbing Performance in Polymer Matrix Composite Laminate (고분자 기기 복합재료 적층판의 전자파 흡수 최적화)

  • 김진봉;김태욱
    • Composites Research
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    • v.14 no.6
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    • pp.38-46
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    • 2001
  • In this study, An optimization code that can design microwave absorbing composite laminates is developed, and 3-layered microwave absorbing composite laminates are developed by optimizing the thickness of each layer. The layers are 3 different composite laminates. Many variables including lay-up angles of electromagnetically orthotropic composite layer can be considered in this code. The developed laminate is composed of an impedance matching layer of glass/epoxy fabric laminate, a glass/epoxy fabric laminate layer containing aluminum filler and carbon/epoxy fabric laminate layer. Permittivities of the materials are obtained using a network analyzer and a coaxial air line.

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Question Retrieval using Deep Semantic Matching for Community Question Answering (심층적 의미 매칭을 이용한 cQA 시스템 질문 검색)

  • Kim, Seon-Hoon;Jang, Heon-Seok;Kang, In-Ho
    • 한국어정보학회:학술대회논문집
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    • 2017.10a
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    • pp.116-121
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    • 2017
  • cQA(Community-based Question Answering) 시스템은 온라인 커뮤니티를 통해 사용자들이 질문을 남기고 답변을 작성할 수 있도록 만들어진 시스템이다. 신규 질문이 인입되면, 기존에 축적된 cQA 저장소에서 해당 질문과 가장 유사한 질문을 검색하고, 그 질문에 대한 답변을 신규 질문에 대한 답변으로 대체할 수 있다. 하지만, 키워드 매칭을 사용하는 전통적인 검색 방식으로는 문장에 내재된 의미들을 이용할 수 없다는 한계가 있다. 이를 극복하기 위해서는 의미적으로 동일한 문장들로 학습이 되어야 하지만, 이러한 데이터를 대량으로 확보하기에는 어려움이 있다. 본 논문에서는 질문이 제목과 내용으로 분리되어 있는 대량의 cQA 셋에서, 질문 제목과 내용을 의미 벡터 공간으로 사상하고 두 벡터의 상대적 거리가 가깝게 되도록 학습함으로써 의사(pseudo) 유사 의미의 성질을 내재화 하였다. 또한, 질문 제목과 내용의 의미 벡터 표현(representation)을 위하여, semi-training word embedding과 CNN(Convolutional Neural Network)을 이용한 딥러닝 기법을 제안하였다. 유사 질문 검색 실험 결과, 제안 모델을 이용한 검색이 키워드 매칭 기반 검색보다 좋은 성능을 보였다.

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Efficient Indoor Location Estimation using Multidimensional Indexes in Wireless Networks

  • Jun, Bong-Gi
    • International Journal of Contents
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    • v.5 no.2
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    • pp.59-63
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    • 2009
  • Since it is hard to use GPS for tracking mobile user in indoor environments, much research has focused on techniques using existing wireless local area network infrastructure. Signal strength received at a fixed location is not constant, so fingerprinting approach which use pattern matching is popular. But this approach has to pay additional costs to determine user location. This paper proposes a new approach to find user's location efficiently using an index scheme. After analyzing characteristics of RF signals, the paper suggests the data processing method how the signal strength values for each of the access points are recorded in a radio map. To reduce computational cost during the location determination phase, multidimensional indexes for radio map with the important information which is the order of the strongest access points are used.

Circular Ring Open-Ended Monopole Antenna with Strip for WLAN Dual-Band Operations

  • Yoon, Joong-Han
    • Journal of information and communication convergence engineering
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    • v.12 no.1
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    • pp.1-7
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    • 2014
  • A novel design of a simple circular ring with open-ended monopole antenna for wireless local area network (WLAN) applications is proposed in this article. The proposed antenna consists of an open-ended circular ring and $50-{\Omega}$ microstrip feed-line. The proposed antenna is capable of generating two separate resonant modes with good impedance-matching conditions. A prototype of the proposed antenna is designed, fabricated, and measured. Acceptable agreement between the measurement and simulation results is achieved. Experimental results show that the proposed antenna has operating bandwidths of 1.99-3.04 GHz and 5.08-6.1 GHz with a return loss of less than -10 dB, covering the required bandwidths of the 2.4/5.2/5.8-GHz WLAN standards. This is a microstrip antenna for IEEE 802.11a/b wireless local area networks applications. Meanwhile, the two-dimensional (2D) radiation patterns and three-dimensional (3D) gain performance of the antenna are also observed and discussed.

A Study on the Artificial Recognition System on Visual Environment of Architecture (건축의 시각적 환경에 대한 지능형 인지 시스템에 관한 연구)

  • Seo, Dong-Yeon;Lee, Hyun-Soo
    • KIEAE Journal
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    • v.3 no.2
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    • pp.25-32
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    • 2003
  • This study deals with the investigation of recognition structure on architectural environment and reconstruction of it by artificial intelligence. To test the possibility of the reconstruction, recognition structure on architectural environment is analysed and each steps of the structure are matched with computational methods. Edge Detection and Neural Network were selected as matching methods to each steps of recognition process. Visual perception system established by selected methods is trained and tested, and the result of the system is compared with that of experiment of human. Assuming that the artificial system resembles the process of human recognition on architectural environment, does the system give similar response of human? The result shows that it is possible to establish artificial visual perception system giving similar response with that of human when it models after the recognition structure and process of human.