• Title/Summary/Keyword: Matching Network

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An Improved Signature Hashing Algorithm for High Performance Network Intrusion Prevention System (고성능 네트워크 침입방지시스템을 위한 개선된 시그니처 해싱 알고리즘)

  • Ko, Joong-Sik;Kwak, Hu-Keun;Wang, Jeong-Seok;Kwon, Hui-Ung;Chung, Kyu-Sik
    • The KIPS Transactions:PartC
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    • v.16C no.4
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    • pp.449-460
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    • 2009
  • The signature hashing algorithm[9] provides the fast pattern matching speed for network IPS(Intrusion Prevention System) using the hash table. It selects 2 bytes from all signature rules and links to the hash table by the hash value. It has an advantage of performance improvement because it reduces the number of inspecting rules in the pattern matching. However it has a disadvantage of performance drop if the number of rules with the same hash value increases when the number of rules are large and the corelation among rules is strong. In this paper, we propose a method to make all rules distributed evenly to the hash table independent of the number of rules and corelation among rules for overcoming the disadvantage of the signature hashing algorithm. In the proposed method, it checks whether or not there is an already assigned rule linked to the same hash value before a new rule is linked to a hash value in the hash table. If there is no assigned rule, the new rule is linked to the hash value. Otherwise, the proposed method recalculate a hash value to put it in other position. We implemented the proposed method in a PC with a Linux module and performed experiments using Iperf as a network performance measurement tool. The signature hashing method shows performance drop if the number of rules with the same hash value increases when the number of rules are large and the corelation among rules is strong, but the proposed method shows no performance drop independent of the number of rules and corelation among rules.

Dual-Band High-Efficiency Class-F Power Amplifier using Composite Right/Left-Handed Transmission Line (Composite Right/Left-Handed 전송 선로를 이용한 이중 대역 고효율 class-F 전력증폭기)

  • Choi, Jae-Won;Seo, Chul-Hun
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.45 no.8
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    • pp.53-59
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    • 2008
  • In this paper, a novel dual-band high-efficiency class-F power amplifier using the composite right/left-handed (CRLH) transmission lines (TLs) has been realized with one RF Si lateral diffusion metal-oxide-semiconductor field effect transistor (LDMOSFET). The CRLH TL can lead to metamaterial transmission line with the dual-band tuning capability. The dual-band operation of the CRLH TL is achieved by the frequency offset and the nonlinear phase slope of the CRLH TL for the matching network of the power amplifier. Because the control of the all harmonic components is very difficult in dual-band, we have managed only the second- and third-harmonics to obtain the high efficiency with the CRLH TL in dual-band. Also, the proposed power amplifier has been realized by using the harmonic control circuit for not only the output matching network, but also the input matching network for better efficiency. Two operating frequencies are chosen at 880 MHz and 1920 MHz in this work. The measured results show that the output power of 39.83 dBm and 35.17 dBm was obtained at 880 MHz and 1920 MHz, respectively. At this point, we have obtained the power-added efficiency (PAE) of 79.536 % and 44.04 % at two operation frequencies, respectively.

Network Topology Discovery with Load Balancing for IoT Environment (IoT환경에서의 부하 균형을 이룬 네트워크 토폴로지 탐색)

  • Park, Hyunsu;Kim, Jinsoo;Park, Moosung;Jeon, Youngbae;Yoon, Jiwon
    • Journal of KIISE
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    • v.44 no.10
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    • pp.1071-1080
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    • 2017
  • With today's complex networks, asset identification of network devices is becoming an important issue in management and security. Because these assets are connected to the network, it is also important to identify the network structure and to verify the location and connection status of each asset. This can be used to identify vulnerabilities in the network architecture and find solutions to minimize these vulnerabilities. However, in an IoT(Internet of Things) network with a small amount of resources, the Traceroute packets sent by the monitors may overload the IoT devices to determine the network structure. In this paper, we describe how we improved the existing the well-known double-tree algorithm to effectively reduce the load on the network of IoT devices. To balance the load, this paper proposes a new destination-matching algorithm and attempts to search for the path that does not overlap the current search path statistically. This balances the load on the network and additionally balances the monitor's resource usage.

Design of a Wide-Frequency-Range, Low-Power Transceiver with Automatic Impedance-Matching Calibration for TV-White-Space Application

  • Lee, DongSoo;Lee, Juri;Park, Hyung-Gu;Choi, JinWook;Park, SangHyeon;Kim, InSeong;Pu, YoungGun;Kim, JaeYoung;Hwang, Keum Cheol;Yang, Youngoo;Seo, Munkyo;Lee, Kang-Yoon
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.16 no.1
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    • pp.126-142
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    • 2016
  • This paper presents a wide-frequency-range, low-power transceiver with an automatic impedance-matching calibration for TV-white-space (TVWS) application. The wide-range automatic impedance matching calibration (AIMC) is proposed for the Drive Amplifier (DA) and LNA. The optimal $S_{22}$ and $S_{11}$ matching capacitances are selected in the DA and LNA, respectively. Also, the Single Pole Double Throw (SPDT) switch is integrated to share the antenna and matching network between the transmitter and receiver, thereby minimizing the systemic cost. An N-path filter is proposed to reject the large interferers in the TVWS frequency band. The current-driven mixer with a 25% duty LO generator is designed to achieve the high-gain and low-noise figures; also, the frequency synthesizer is designed to generate the wide-range LO signals, and it is used to implement the FSK modulation with a programmable loop bandwidth for multi-rate communication. The TVWS transceiver is implemented in $0.13{\mu}m$, 1-poly, 6-metal CMOS technology. The die area of the transceiver is $4mm{\times}3mm$. The power consumption levels of the transmitter and receiver are 64.35 mW and 39.8 mW, respectively, when the output-power level of the transmitter is +10 dBm at a supply voltage of 3.3 V. The phase noise of the PLL output at Band 2 is -128.3 dBc/Hz with a 1 MHz offset.

Implementation of Human Spine Database System for Realizing e-Spine

  • Roh, Hyun Sook;Choi, Boongki;Bae, Kook-jin;Park, Jinseo
    • Proceedings of the Korea Contents Association Conference
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    • 2014.06a
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    • pp.193-194
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    • 2014
  • This paper provides the market opportunity analysis process and technology providing matching process based on the efficient quantitative analysis of a large amount of papers and network analysis. In the future, it is required to analyze and complement the quantitative analysis result by commercialization experts and to build emerging issue database.

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Optimal Design of Matching Network for Capacitive-coupled Wireless Power Transfer System (임피던스 정합을 이용한 전계결합형 무선전력전송 최적 설계 방법 연구)

  • Choi, Hee-Su;Choi, Sung-Jin
    • Proceedings of the KIPE Conference
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    • 2016.07a
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    • pp.141-142
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    • 2016
  • 전계결합을 이용한 무선전력전송 시스템은 송 수신부 사이에 형성된 링크 캐패시턴스를 사용해서 에너지를 전송한다. 이러한 용량 리액턴스를 상쇄하기 위한 방안으로 인덕터나 변압기를 응용한 여러 종류의 임피던스 정합구조가 연구되고 있다. 본 논문에서는 다양한 리액턴스 보상 방법에 대한 장 단점을 비교하고 이 중에서 전계결합 시스템에 가장 적합한 임피던스 정합구조를 선정한다.

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Adaptive Learning Control of an Uncertain Robot Manipulator Using Fuzzy-Neural Network Controller (퍼지-신경망 제어기를 이용한 불확실한 로보트 매니퓰레이터의 적응 학습 제어)

  • 김성현;최영길;김용호;전홍태
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.5
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    • pp.25-32
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    • 1996
  • This paper will propose the direct adaptive learning control scheme based on adaptive control technique and intelligent control theory for a nonlinear system. Using the proposed learning control scheme, we will apply to on-line control an uncertain but for model perfect matching, it's structure condition is known. The effectiveness of the proposed control schem will be illustrated by simulations of a robot manipulator.

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Implementation of the Designing S/W Tool for Impedance Matching Network (임피던스 정합회로의 설계를 위한 Designs/WTool구현)

  • 편용국
    • Journal of the Korea Computer Industry Society
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    • v.5 no.3
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    • pp.371-376
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    • 2004
  • 소나 센서부 설계 시 개별 센서에 대한 정합회로의 설계는 전체 가중회로의 특성에 매우 큰 영향을 미친다. 기존의 정합회로 설계 방법은 우선 센서에 대한 등가회로 소자 값들을 구해내고, 그 소자 값들로부터 정합회로의 소자 값들을 계산해 내는 방법이었다 하지만 이번 Tool에서는 주파수 영역에서 측정한 센서의 임피던스로부터 직접 정합회로의 소자 값들을 구해내는 방법을 사용하였고, 이 일련의 작업을 일괄 작업화 한 설계프로그램을 소개하고자 한다. 본 프로그램에서는 선택한 정합 조건을 만족하는 회로 구성 및 L,C 값을 결과로 내도록 설계되었다.

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A Transformer-Matched Millimeter-Wave CMOS Power Amplifier

  • Park, Seungwon;Jeon, Sanggeun
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.16 no.5
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    • pp.687-694
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    • 2016
  • A differential power amplifier operating at millimeter-wave frequencies is demonstrated using a 65-nm CMOS technology. All of the input, output, and inter-stage network are implemented by transformers only, enabling impedance matching with low loss and a wide bandwidth. The millimeter-wave power amplifier exhibits measured small-signal gain exceeding 12.6 dB over a 3-dB bandwidth from 45 to 56 GHz. The output power and PAE are 13 dBm and 11.7%, respectively at 50 GHz.

Diagnosis of Processing Equipment Using Neural Network Recognition of Radio Frequency Impedance Matching

  • Kim, Byungwhan
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.157.1-157
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    • 2001
  • A new methodology is presented to diagnose faults in equipment plasma. This is accomplished by using neural networks as a pattern recognizer of radio frequency(rf) impedance match data. Using a realtime match monitor system, the match data were collected. The monitor system consisted mainly of a multifunction board and a signal flow diagram coded by Visual Designer. Plasma anomaly was effectively represented by electrical match positions. Twenty sets of fault-symptom patterns were experimentally simulated with experimental variations in process factors, which include rf source power, pressure, Ar and O$_2$ flow rates. As the inputs to neural networks, two means and standard deviations of positions were used ...

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