• Title/Summary/Keyword: negative detector

Search Result 83, Processing Time 0.025 seconds

Analysis of the Phase Noise Improvement of a VCO Using Frequency-Locked Loop (주파수잠금회로(FLL)를 이용한 VCO의 위상잡음 개선 해석)

  • Yeom, Kyung-Whan;Lee, Dong-Hyun
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
    • /
    • v.29 no.10
    • /
    • pp.773-782
    • /
    • 2018
  • A frequency-locked loop(FLL) is a negative-feedback system that uses a frequency detector to improve the phase noise of a voltage-controlled oscillator(VCO). In this work, a theoretical analysis of the phase noise of a VCO in an FLL is presented. The analysis shows that the phase noise of the VCO follows the phase noise determined by the frequency detector and the loop filter within the FLL loop bandwidth, while the phase noise of the VCO appears outside the loop bandwidth. Therefore, it is possible to design an FLL that minimizes the phase noise of the VCO based on the theoretical analysis results. The theoretical phase noise results were verified through experiments.

Adaptive Intrusion Detection Algorithm based on Aritificial Immune System (인공 면역계를 기반으로 하는 적응형 침입탐지 알고리즘)

  • 양재원;이동욱;심재윤;심귀보;이세열;김용수
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2002.12a
    • /
    • pp.254-257
    • /
    • 2002
  • 인터넷 보급의 확산과 전자상거래의 활성화와 유.무선 인터넷의 보급에 따른 악의적인 사이버 공격의 시도의 성공사례가 증가하고 있다. 미로 인해 점차 더 많은 문제가 야기될 것으로 예상된다. 현재 일반적인 인터넷상의 시스템은 악의적인 공격에 적절하게 대응해오지 못하고 있으며, 다른 범용의 시스템들도 기존의 백신 프로그램에 의존하며 그 공격에 대응해오고 있다. 따라서 새로운 침입에 대하여는 대처하기 힘든 단점을 가지고 있다. 본 논문에서는 생체 자율분산시스템의 일부분인 T세포의 positive selection과 negative selection을 이용한 자기/비자기 인식 알고리즘을 제안한다. 제안한 알고리즘은 네트워크 환경에서 침입탐지 시스템에 적용하여 기존에 알려진 침입뿐만 아니라 새로운 침입에 대해서도 대처할 수 있다

Anomaly behavior detection using Negative Selection algorithm based anomaly detector (Negative Selection 알고리즘 기반 이상탐지기를 이용한 이상행 위 탐지)

  • 김미선;서재현
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2004.05b
    • /
    • pp.391-394
    • /
    • 2004
  • Change of paradigm of network attack technique was begun by fast extension of the latest Internet and new attack form is appearing. But, Most intrusion detection systems detect informed attack type because is doing based on misuse detection, and active correspondence is difficult in new attack. Therefore, to heighten detection rate for new attack pattern, visibilitys to apply human immunity mechanism are appearing. In this paper, we create self-file from normal behavior profile about network packet and embody self recognition algorithm to use self-nonself discrimination in the human immune system to detect anomaly behavior. Sense change because monitors self-file creating anomaly detector based on Negative Selection Algorithm that is self recognition algorithm's one and detects anomaly behavior. And we achieve simulation to use DARPA Network Dataset and verify effectiveness of algorithm through the anomaly detection rate.

  • PDF

Analysis of fluctuations in ex-core neutron detector signal in Krško NPP during an earthquake

  • Tanja Goricanec;Andrej Kavcic;Marjan Kromar;Luka Snoj
    • Nuclear Engineering and Technology
    • /
    • v.56 no.2
    • /
    • pp.575-600
    • /
    • 2024
  • During an earthquake on December 29th 2020, the Krško NPP automatically shutdown due to the trigger of the negative neutron flux rate signal on the power range nuclear instrumentation. From the time course of the detector signal, it can be concluded that the fluctuation in the detector signal may have been caused by the mechanical movement of the ex-core neutron detectors or the pressure vessel components rather than the actual change in reactor power. The objective of the analysis was to evaluate the sensitivity of the neutron flux at the ex-core detector position, if the detector is moved in the radial or axial direction. In addition, the effect of the core barrel movement and core inside the baffle movement in the radial direction were analysed. The analysis is complemented by the calculation of the thermal and total neutron flux gradient in radial, axial and azimuthal directions. The Monte Carlo particle transport code MCNP was used to study the changes in the response of the ex-core detector for the above-mentioned scenarios. Power and intermediate-range detectors were analysed separately, because they are designed differently, positioned at different locations, and have different response characteristics. It was found that the movement of the power range ex-core detector has a negligible effect on the value of the thermal neutron flux in the active part of the detector. However, the radial movement of the intermediate-range detector by 5 cm results in 7%-8% change in the thermal neutron flux in the active part of the intermediate-range detector. The analysis continued with an evaluation of the effects of moving the entire core barrel on the ex-core detector response. It was estimated that the 2 mm core barrel radial oscillation results in ~4% deviation in the power and intermediate-range detector signal. The movement of the reactor core inside baffle can contribute ~6% deviation in the ex-core neutron detector signal. The analysis showed that the mechanical movement of ex-core neutron detectors cannot explain the fluctuations in the ex-core detector signal. However, combined core barrel and reactor core inside baffle oscillations could be a probable reason for the observed fluctuations in the ex-core detector signal during an earthquake.

Adaptive Intrusion Detection Algorithm based on Artificial Immune System (인공 면역계를 기반으로 하는 적응형 침입탐지 알고리즘)

  • Sim, Kwee-Bo;Yang, Jae-Won
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.13 no.2
    • /
    • pp.169-174
    • /
    • 2003
  • The trial and success of malicious cyber attacks has been increased rapidly with spreading of Internet and the activation of a internet shopping mall and the supply of an online, or an offline internet, so it is expected to make a problem more and more. The goal of intrusion detection is to identify unauthorized use, misuse, and abuse of computer systems by both system insiders and external penetrators in real time. In fact, the general security system based on Internet couldn't cope with the attack properly, if ever. other regular systems have depended on common vaccine softwares to cope with the attack. But in this paper, we will use the positive selection and negative selection mechanism of T-cell, which is the biologically distributed autonomous system, to develop the self/nonself recognition algorithm and AIS (Artificial Immune System) that is easy to be concrete on the artificial system. For making it come true, we will apply AIS to the network environment, which is a computer security system.

Study on the Plasma Oscillation for Gas Chromatographic detector (플라즈마진동을 이용한 기체크로마토그래프의 검출기에 대한 연구)

  • Kim, Hyo Jin;Mang, Dae Young;Kang, Jong Seong
    • Analytical Science and Technology
    • /
    • v.6 no.4
    • /
    • pp.369-374
    • /
    • 1993
  • Plasma oscillation has been observed during the development of the glow discharge as detector for gas chromatography. The variation of oscillation frequency shows the better stability and detection limits than the changes in the dischange curent. To investigate the range of useful operating conditions and to gain insight into the mechanism, the effect of experimental parameters on plasma oscillation have been studied. This study includes the variation of discharge current, pressure and discharge gap. Frequency ranges of 10KHz to 10MHz have been observed with the various shapes of oscillation. Two kinds of mode for oscillation are observed with the variation of electrode gap at low pressure and low voltage.

  • PDF

DIntrusion Detection in WSN with an Improved NSA Based on the DE-CMOP

  • Guo, Weipeng;Chen, Yonghong;Cai, Yiqiao;Wang, Tian;Tian, Hui
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.11 no.11
    • /
    • pp.5574-5591
    • /
    • 2017
  • Inspired by the idea of Artificial Immune System, many researches of wireless sensor network (WSN) intrusion detection is based on the artificial intelligent system (AIS). However, a large number of generated detectors, black hole, overlap problem of NSA have impeded further used in WSN. In order to improve the anomaly detection performance for WSN, detector generation mechanism need to be improved. Therefore, in this paper, a Differential Evolution Constraint Multi-objective Optimization Problem based Negative Selection Algorithm (DE-CMOP based NSA) is proposed to optimize the distribution and effectiveness of the detector. By combining the constraint handling and multi-objective optimization technique, the algorithm is able to generate the detector set with maximized coverage of non-self space and minimized overlap among detectors. By employing differential evolution, the algorithm can reduce the black hole effectively. The experiment results show that our proposed scheme provides improved NSA algorithm in-terms, the detectors generated by the DE-CMOP based NSA more uniform with less overlap and minimum black hole, thus effectively improves the intrusion detection performance. At the same time, the new algorithm reduces the number of detectors which reduces the complexity of detection phase. Thus, this makes it suitable for intrusion detection in WSN.

Design and Evaluation of a High Concentration, High Penetration Unipolar Corona Ionizer for Electrostatic Discharge and Aerosol Charging

  • Intra, Panich;Tippayawong, Nakorn
    • Journal of Electrical Engineering and Technology
    • /
    • v.8 no.5
    • /
    • pp.1175-1181
    • /
    • 2013
  • The aim of this paper is to design and evaluate a high concentration, high penetration unipolar corona ionizer. The electrostatic characteristics in terms of voltage-current relationships of the present ionizer in the discharge zones for positive and negative coronas were discussed. Using ion current measurement, the concentration and penetration of ions were evaluated at corona voltages across the needle electrodes between 1 and 4 kV, flow rates between 1 and 5 L/min, and an operating pressure of 1 atm. In the discharge zone of the ionizer, the highest ion concentrations were found to be about $1.71{\times}10^{14}$ and $5.09{\times}10^{14}\;ions/m^3$ for positive and negative coronas, respectively. At the outlet of the ionizer, it was found that the highest ion concentration was about $1.95{\times}10^{13}$ and $1.91{\times}10^{13}\;ions/m^3$ for positive and negative coronas, respectively. The highest ion penetration for positive and negative coronas through the ionizer was found to be about 98 % and 33 %, respectively. The $N_it$ product for positive and negative coronas was also found to $1.28{\times}10^{13}$ and $7.43{\times}10^{13}\;ions/m^3s$, respectively. From the findings, this ionizer proved to be particularly useful as an aerosol charger for positive and negative charge before the detector in an electrical aerosol detector.

Design Methodology of the Frequency-Adaptive Negative-Delay Circuit (주파수 적응성을 갖는 부지연 회로의 설계기법)

  • Kim, Dae-Jeong
    • Journal of the Institute of Electronics Engineers of Korea SC
    • /
    • v.37 no.3
    • /
    • pp.44-54
    • /
    • 2000
  • In this paper, a design methodology for the frequency-adaptive negative-delay circuit which can be implemented in standard CMOS memory process is proposed. The proposed negative-delay circuit which is a basic type of the analog SMD (synchronous mirror delay) measures the time difference between the input clock period and the target negative delay by utilizing analog behavior and repeats it in the next coming cycle. A new technology that compensates the auxiliary delay related with the output clock in the measure stage differentiates the Proposed method from the conventional method that compensates it in the delay-model stage which comes before the measure stage. A wider negative-delay range especially prominent in the high frequency performance than that in the conventional method can be realized through the proposed technology. In order to implement the wide locking range, a new frequency detector and the method for optimizing the bias condition of the analog circuit are suggested. An application example to the clocking circuits of a DDR SDRAM is simulated and demonstrated in a 0.6 ${\mu}{\textrm}{m}$ n-well double-poly double-metal CMOS technology.

  • PDF

Examination of ivermectin residues in raw milk after skin administration (원유중 Ivermectin 구충제의 잔류실태 조사)

  • Bark, Jun-Jo;Youk, Ji-Hea;Kim, Hu-Kyoung;Park, Hye-Won;Kim, In-Kyung;Lee, Woo-Seong
    • Korean Journal of Veterinary Service
    • /
    • v.30 no.3
    • /
    • pp.421-428
    • /
    • 2007
  • This study was conducted two kinds of aims: 1) to modify the analytical methods (conditions) by high performance liquid chromatography - fluorescence detector for the detection of residual ivermectin in raw milk, 2) to provide basic information for the evaluation of standard of the residual ivermectin in raw milk. It could be considerable that negative ion spectra can be better method in the LC/MS analysis for the detection of residues, Characteristic daughter ions were observed in negative ion spectra, however, linear line was not formed in positive ion one. Three Holstein cows ($500{\pm}10kg$) were applied to commercial ointment of ivermectin just one time at the first day of test, and residues in raw milk were examined for 20day after administration. The limit of detection (LOD) was 0.65ng (n=5) by HPLC/FLD, and recovery rates were $87.85%{\sim}99.47%$. The peak was observed at the 4th day, and residues lasted to the end. Thus ivermectin was prohibited when lactating.