• Title/Summary/Keyword: detection technique

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Source Localization Technique for Radar Pulse Emission by Using Scanning Method of Interest Area (관심영역 스캐닝기법을 이용한 레이더 펄스 발생원 위치 추정기법)

  • Choi, Kyong-Sik;Kim, Jong-Pil;Won, Hyeon-Kwon;Park, Jae-Hyun;Kim, In-Gyu
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.39 no.9
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    • pp.889-895
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    • 2011
  • In recent days, some techniques to prevent from radar detection have been applied on aircraft system. RWR(Radar Warning Receiver) can be used for estimating the source location of the aircraft which emits radar pulse. Current existing method of localizing radar pulse emission source is using AOA(Angle Of Arrival) and most techniques are focused on finding exact AOA to find exact location. In this case, however, the exact AOA does not always result in finding exact source location while target aircraft is moving fast. In this paper, a localization method using the phase delay of the radar pulse's low frequency applies and so a scanning method for the interest area does in order to estimate exact source location by using phase delay.

Radioimmunoassay for the Quantitative Analysis of Abscisic Acid (Abscisin산 정량분석을 위한 방사면역측정법)

  • 황태익;임현옥;김용재;이민화
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.30 no.1
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    • pp.47-52
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    • 1985
  • A radioimmunoassay technique has been developed for the quantitative analysis of Abscisic acid (ABA). The antibody, obtained by immunizing rabbits against a conjugate of ABA with human serum albumin, had a high affinity (Ka=3.28x10$\^$13/l/mol) for ABA. The use of $^3$H-labelled ABA as tracer and of dextran-coated charcoal for separation of free ABA from antibody-bound ABA permitted detection of as little as 0.5x10$\^$-12/ mol ABA. The measuring range extended to 14x10$\^$-12/ mol. Because of the high specificity of this immunoassay, no extract purification steps were required prior to analysis. And then, only 2 hr in radioimmunoassay was required to ABA analysis. From these results, it is suggested using this assays that more than hundreds samples can be assayed sensitive and simple per day for ABA.

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Prediction of Rainfall-Induced Slope Failure Using Hotelling's T-Square Statistic (Hotelling의 T-square 통계량을 이용한 강우유발 사면붕괴 예측)

  • Kim, Seul-Bi;Na, Jong-Hwa;Seo, Yong-Seok
    • The Journal of Engineering Geology
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    • v.25 no.3
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    • pp.331-337
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    • 2015
  • A new technique is presented to detect unstable slope behavior, based on Hotelling's T2 analysis of pore pressure and water content obtained during flume tests using granitic and gneissic weathered soils. Three sets of pore pressure-water content values were simultaneously obtained during each test, and T2 statistics at the 90.0% and 95.0% confidence levels were calculated based on the correlations between values. The results show that unsuccessful detection of some local failures of the flume slope depended on the sensor position. In the case of global slope failures, anomalous behavior was detected between several hundred and several thousand seconds before the event as T2 statistics exceeded the confidence interval 90%. Hotelling's T2 analysis provides a single control criterion because it enables correlations between diverse measured values within the same slope; the criterion also includes stepwise criteria for a forecasting and warning system based on confidence levels.

Target Emphasis Algorithm in Image for Underwater Acoustic Signal Using Weighted Map (가중치 맵을 이용한 수중 음향 신호 영상에서의 표적 강화 알고리즘)

  • Joo, Jae-Heum
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.3
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    • pp.203-208
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    • 2010
  • In this paper, we convert underwater acoustic signal made by sonar system into digital image. We propose the algorithm that detects target candidate and emphasizes information of target introducing image processing technique for the digital image. The process detecting underwater target estimates background noise in underwater acoustic signal changing irregularly, recomposes it. and eliminates background from original image. Therefore, it generates initial target group. Also, it generates weighted map through proceeding doppler information, ensures information for target candidate through filtering using weighted map for image eliminated background noise, and decides the target candidate area in the single frame. In this paper, we verified that proposed algorithm almost had eliminated the noise generated irregularly in underwater acoustic signal made by simulation, targets had been displayed more surely in the image of underwater acoustic signal through filtering and process of target detection.

Expression of the red sea bream iridovirus (RSIV) capsid protein using a yeast surface display method (효모표면표출(YSD) 기법을 이용한 참돔 이리도바이러스(RSIV) 외피단백질의 발현)

  • Suh, Sung-Suk;Park, Mirye;Hwang, Jinik;Lee, Taek-Kyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.8
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    • pp.5412-5418
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    • 2014
  • The red seabream iridovirus (RSIV), which belongs to the iridoviridae, causes infectious fish diseases in many Asian countries, leading to considerable economic losses to the aquaculture industry. Using the yeast surface display (YSD) technique, a new experimental system was recently developed for the detection and identification of a variety of marine viruses. In this study, a coat protein gene of RSIV was synthesized based on the nucleotide sequence database and subcloned into the yeast expression vector, pCTCON2. The expression of viral coat proteins in the yeast strain, EBY100, was detected by flow cytometry and Western blot analysis. Finally, they were isolated from the yeast surface through a treatment with ${\beta}$-mercaptoethanol. The data suggests that the YSD system can be a useful method for acquiring coating proteins of marine viruses.

Pan-Sharpening Algorithm of High-Spatial Resolution Satellite Image by Using Spectral and Spatial Characteristics (영상의 분광 및 공간 특성을 이용한 고해상도 위성영상 융합 알고리즘)

  • Choi, Jae-Wan;Kim, Yong-Il
    • Journal of Korean Society for Geospatial Information Science
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    • v.18 no.2
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    • pp.79-86
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    • 2010
  • Generally, image fusion is defined as generating re-organized image by merging two or more data using special algorithms. In remote sensing, image fusion technique is called as Pan-sharpening algorithm because it aims to improve the spatial resolution of original multispectral image by using panchromatic image of high-spatial resolution. The pan-sharpened image has been an important task due to various applications such as change detection, digital map creation and urban analysis. However, most approaches have tended to distort the spectral information of the original multispectral data or decrease the spatial quality compared with the panchromatic image. In order to solve these problems, a novel pan-sharpening algorithm is proposed by considering the spectral and spatial characteristics of multispectral image. The algorithm is applied to the KOMPSAT-2 and QuickBird satellite image and the results showed that our method can improve the spectral/spatial quality compared with the existing fusion algorithms.

Extracting Method The New Roads by Using High-resolution Aerial Orthophotos (고해상도 항공정사영상을 이용한 신설 도로 추출 방법에 관한 연구)

  • Lee, Kyeong Min;Go, Shin Young;Kim, Kyeong Min;Cho, Gi Sung
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.3
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    • pp.3-10
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    • 2014
  • Digital maps are made by experts who digitize the data from aerial image and field survey. And the digital maps are updated every 2 years in National Geographic Information Institute. Conventional Digitizing methods take a lot of time and cost. And geographic information needs to be modified and updated appropriately as geographical features are changing rapidly. Therefore in this paper, we modify the digital map updates the road information for rapid high-resolution aerial orthophoto taken at different times were performed HSI color conversion. Road area of the cassification was performed the region growing methods. In addition, changes in the target area for analysis by applying the CVA technique to compare the changed road area by analyzing the accuracy of the proposed extraction.

Optimum Missile Attitude to Minimize Radar Exposure at a High Altitude (고고도에서의 피탐성 최소화 유도탄 최적자세 연구)

  • Moon, Kyujin;Jeong, Ui-Taek;Kim, JeongHun;Ryoo, Chang-Kyung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.47 no.12
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    • pp.865-873
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    • 2019
  • To improve the survivability of a missile, it needs to be lowered that the detection possibility by radars on the ground. The radar exposure of the target is given as a function of relative distance from the radar to the target and RCS (Radar Cross Section). The RCS of the missile is determined by the incidence angle of the target to electromagnetic radiation emitted from the radar. Under the assumption that the missile equips appropriate attitude control system, the attitude of the missile to minimize radar exposure at a high altitude is investigated in this paper. Two different types of performance cost are considered: the total sum of RCS and the total sum of SNR during the flight. Optimal solutions against multiple ground radars are found by using a SQP (Sequential Quadratic Programming)-based optimization technique.

Thwarting Sybil Attackers in Reputation-based Scheme in Mobile Ad hoc Networks

  • Abbas, Sohail;Merabti, Madjid;Kifayat, Kashif;Baker, Thar
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.12
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    • pp.6214-6242
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    • 2019
  • Routing in mobile ad hoc networks is performed in a distributed fashion where each node acts as host and router, such that it forwards incoming packets for others without relying on a dedicated router. Nodes are mostly resource constraint and the users are usually inclined to conserve their resources and exhibit selfish behaviour by not contributing in the routing process. The trust and reputation models have been proposed to motivate selfish nodes for cooperation in the packet forwarding process. Nodes having bad trust or reputation are detected and secluded from the network, eventually. However, due to the lack of proper identity management and use of non-persistent identities in ad hoc networks, malicious nodes can pose various threats to these methods. For example, a malicious node can discard the bad reputed identity and enter into the system with another identity afresh, called whitewashing. Similarly, a malicious node may create more than one identity, called Sybil attack, for self-promotion, defame other nodes, and broadcast fake recommendations in the network. These identity-based attacks disrupt the overall detection of the reputation systems. In this paper, we propose a reputation-based scheme that detects selfish nodes and deters identity attacks. We address the issue in such a way that, for normal selfish nodes, it will become no longer advantageous to carry out a whitewash. Sybil attackers are also discouraged (i.e., on a single battery, they may create fewer identities). We design and analyse our rationale via game theory and evaluate our proposed reputation system using NS-2 simulator. The results obtained from the simulation demonstrate that our proposed technique considerably diminishes the throughput and utility of selfish nodes with a single identity and selfish nodes with multiple identities when compared to the benchmark scheme.

Local contrast and Transmission Based Fog Degree Measurement in Single Image (Local Contrast와 빛 전달량 기반 Single Image의 안개 정도 측정 방법)

  • Lee, Geun-min;Kim, Wonha
    • Journal of Broadcast Engineering
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    • v.22 no.3
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    • pp.375-380
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    • 2017
  • This paper has proposed a single image based fog degree quantification method by measuring both transmission and local contrast. The proposed method estimates the foggy expected regions from transmission, and then assesses the size of regions of which transmission values are foggy expected ones and the range of local contrast value on such regions. Compared with fog degree gauged by the scattering coefficient measurement sensor, the proposed method quantifies the fog degree with more than 95% accuracy for images containing various objects and environments. We also developed a technique that measures the local contrast values in process of measuring transmission values. So, the proposed method does not increase complexity compared to the existing transmission method.