• Title/Summary/Keyword: Recover noise

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Analysis of the right to sunshine for elevated structure construction (고가 구조물 건설에 따른 일조권 분석)

  • 강기수;김상석;양승태;강인준
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.04a
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    • pp.485-490
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    • 2004
  • Recently, distribution transfer velocity was extremely lowered by high supply rate of vehicle and low road rate. Therefore expansions of transfer network these were subway, road and railway to recover competitive power as a reform measure of physical distribution traffic were become preference previous subject. For reason of that, an expansion of transfer network is meeting competitive power as selected an elevated road in the ground road network that condition of location calm and get out of the existing urban than the underground road to connect oversensitive a large city and expanded small and medium satellite town. In the meantime, while elevated structures construct, they go through the civilian residential section, agriculture land, etc. The consequence is that it raises a vibration, noise, dust, an infringement of the right to a view and an infringement of the right to a sunshine. In this study, we analyzed Quantitatively sunshine quantity with building 3D simulation model of civil structure. Therefore, we present as planning data to reduce a civilian appeal for dispute of the right to sunshine and an economic and time loss between the government and construction company In addition to that, for the standard of the standard plan of usable sunshine quantity program in the practical business, the building of convenient user interface will be the project to be done.

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An Adaptive FEC Code Control Algorithm for Mobile Wireless Sensor Networks

  • Ahn Jong-Suk;Hong Seung-Wook;Heidemann John
    • Journal of Communications and Networks
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    • v.7 no.4
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    • pp.489-498
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    • 2005
  • For better performance over a noisy channel, mobile wireless networks transmit packets with forward error correction (FEC) code to recover corrupt bits without retransmission. The static determination of the FEC code size, however, degrades their performance since the evaluation of the underlying channel state is hardly accurate and even widely varied. Our measurements over a wireless sensor network, for example, show that the average bit error rate (BER) per second or per minute continuously changes from 0 up to $10^{-3}$. Under this environment, wireless networks waste their bandwidth since they can't deterministically select the appropriate size of FEC code matching to the fluctuating channel BER. This paper proposes an adaptive FEC technique called adaptive FEC code control (AFECCC), which dynamically tunes the amount of FEC code per packet based on the arrival of acknowl­edgement packets without any specific information such as signal to noise ratio (SNR) or BER from receivers. Our simulation experiments indicate that AFECCC performs better than any static FEC algorithm and some conventional dynamic hybrid FEC/ARQ algorithms when wireless channels are modeled with two-state Markov chain, chaotic map, and traces collected from real sensor networks. Finally, AFECCC implemented in sensor motes achieves better performance than any static FEC algorithm.

Statistical study of turbulence from polarized synchrotron emission

  • Lee, Hyeseung;Cho, Chungyeon;Lazarian, Alexandre
    • The Bulletin of The Korean Astronomical Society
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    • v.42 no.1
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    • pp.56.1-56.1
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    • 2017
  • When turbulent motions perturb magnetic field lines and produce magnetic fluctuations, the perturbations leave imprints of turbulence statistics on magnetic field. Observation of synchrotron radiation is one of the easiest ways to study turbulent magnetic field. Therefore, we study statistical properties of synchrotron polarization emitted from media with magnetohydrodynamic (MHD) turbulence, using both synthetic and MHD turbulence simulation data. First, we obtain the spatial spectrum and its derivative with respect to wavelength of synchrotron polarization arising from both synchrotron radiation and Faraday rotation. The study of spatial spectrum shows how the spectrum is affected by Faraday rotation and how we can recover the statistics of underlying turbulent magnetic field as well as turbulent density of electrons from interferometric observations that incorporate the effects of noise and finite telescopic beam size. Second, we study quadrupole ratio to quantitatively describe the degree of anisotropy introduced by magnetic field in the presence of MHD turbulence. We consider the case that the synchrotron emission and Faraday rotation are spatially separated, as well as the situation that the sources of the synchrotron radiation and thermal electrons causing Faraday rotation exist in the same region. In this study, we demonstrate that the spectrum and quadrupole ratio of synchrotron polarization can be very informative tools to get detailed information about the statistical properties of MHD turbulence from radio observations of diffuse synchrotron polarization.

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A Study on the Characteristics of a series of Autoencoder for Recognizing Numbers used in CAPTCHA (CAPTCHA에 사용되는 숫자데이터를 자동으로 판독하기 위한 Autoencoder 모델들의 특성 연구)

  • Jeon, Jae-seung;Moon, Jong-sub
    • Journal of Internet Computing and Services
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    • v.18 no.6
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    • pp.25-34
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    • 2017
  • Autoencoder is a type of deep learning method where input layer and output layer are the same, and effectively extracts and restores characteristics of input vector using constraints of hidden layer. In this paper, we propose methods of Autoencoders to remove a natural background image which is a noise to the CAPTCHA and recover only a numerical images by applying various autoencoder models to a region where one number of CAPTCHA images and a natural background are mixed. The suitability of the reconstructed image is verified by using the softmax function with the output of the autoencoder as an input. And also, we compared the proposed methods with the other method and showed that our methods are superior than others.

Using Light Travel Time Effect to Detect Circumbinary Planets with Ground-Based Telescopes

  • Hinse, Tobias Cornelius
    • The Bulletin of The Korean Astronomical Society
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    • v.37 no.2
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    • pp.109.1-109.1
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    • 2012
  • In the past few years, two-planet circumbinary systems (e.g., HW Vir, NN Ser, DP Leo and HU Aqr) have been detected around short-period eclipsing binaries using ground-based telescopes. The existence of these planets has been inferred by interpreting the O-C variations of the mid-eclipse times. We have tested the orbital stability of these systems and propose to use Light Travel Time Effect (LITE) to detect such circumbinary planets from the ground. We generated synthetically the LITE signal of a two-planet circumbinary system with the aim to apply an analytic LITE model to recover the underlying synthetic system. To mimic a degree of realism inherent to ground-based observations, we added to the synthetic LITE data white noise with a Gaussian distribution and sampled the synthetic LITE signal randomly. We successfully recovered the original system demonstrating that two-planet circumbinary systems can be detected using ground-based telescopes, provided the timing measurements of the mid-eclipses are sufficiently accurate and the observing baseline is long enough to ensure a sufficient coverage of all involved periods. We used HU Aqr as a test system and applied our model to its proposed planetary bodies considering near-circular orbits. We present the results of our calculations and discuss the LITE-detectability of a HU Aqr-like system.

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High-Dimensional Clustering Technique using Incremental Projection (점진적 프로젝션을 이용한 고차원 글러스터링 기법)

  • Lee, Hye-Myung;Park, Young-Bae
    • Journal of KIISE:Databases
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    • v.28 no.4
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    • pp.568-576
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    • 2001
  • Most of clustering algorithms data to degenerate rapidly on high dimensional spaces. Moreover, high dimensional data often contain a significant a significant of noise. which causes additional ineffectiveness of algorithms. Therefore it is necessary to develop algorithms adapted to the structure and characteristics of the high dimensional data. In this paper, we propose a clustering algorithms CLIP using the projection The CLIP is designed to overcome efficiency and/or effectiveness problems on high dimensional clustering and it is the is based on clustering on each one dimensional subspace but we use the incremental projection to recover high dimensional cluster and to reduce the computational cost significantly at time To evaluate the performance of CLIP we demonstrate is efficiency and effectiveness through a series of experiments on synthetic data sets.

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Pulse pile-up correction by auto-regression on linear operations (ARLO) method: A comparison with integration-based algorithms

  • Mohammad-Reza Mohammadian-Behbahani
    • Nuclear Engineering and Technology
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    • v.56 no.9
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    • pp.3904-3913
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    • 2024
  • Radiation detection at high count rate suffers from pulse pile-up, where the counting data and energy information of the system are affected by the overlapping of the system output pulses. There exist various pile-up correction strategies to recover the true information of the pulses, among which pulse-tail extrapolation is a well-known method focused on in this study. Present work aims to use a mono-exponential model for extrapolating the pileup-distorted trailing edge of a pulse, to provide a reference line for calculating the true amplitude of its subsequent overlapping pulse. To this goal, the auto-regression on linear operations (ARLO) method is examined and compared with two integration-based methods (the Foss and the Matheson methods), as well as the non-linear least squares (NLS) method. Despite a higher sensitivity to noise, the ARLO method was able to provide a simple, non-iterative solution with a performance over 400 times faster than the NLS algorithm, according to the analysis of a high count rate set of experimental pulses from a NaI(Tl) detection system. Foss and Matheson methods also provided solutions reasonably faster than NLS (but not surpassing ARLO), performing exactly the same as each other with results very close to NLS, benefiting from their non-iterative nature.

Medkum TAu Inversion Recover(MTIR) Sequence for White Matter Suppression in Brain Cortical Lesions (뇌피질 질환에서 뇌백질 신호 억제를 위한 중간시간 반전회복 영상 기법)

  • 정경호;이정민;김종수
    • Investigative Magnetic Resonance Imaging
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    • v.3 no.1
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    • pp.60-65
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    • 1999
  • Purpose : The purpose of this study was to evaluate the image quality, contrast characteristics, and possible clinical utility of Medium Tau Inversion Recovery(MTIR) sequence with white matter suppression in patients with brain cortical lesion. Materials and methods : Two normal volunteers and twenty-one patients with cortical lesion were scanned with MTIR as well as other MR imaging sequences. Gray-white matter contrast was evaluated objectively using region-of-interest calculations, including percent contrast and contrast-to-noise ratio(CNR). MTIR sequence was visually compared with other sequences in 21 patients with cortical lesion including conspicuity and detection rate. Results : MTIR sequence had the highest present contrast and CNR between the gray matter and white matter. In twenty-one cases of cortical lesion including cortical dysplasia, MTIR sequence improved delineation and conspicuity of lesion, but MTIR sequence could not detect new lesions. Conclusion : The MTIR sequence well delineated the cortical lesions, particularly in including cortical dysplasia. It may be used as an adjunctive imaging sequence in case of poor gray and white matter differentiation with conventional T1-weighted sequences.

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An Experimental Study on Magnetic Assisted Polishing of Polycarbonate Plate for Recycling (폴리카보네이트 판재의 재활용을 위한 자기연마 가공)

  • Lee, Yong-Chul;Kim, Kwang-Sam;Kwak, Tae-Soo;Lee, Jong-Ryul
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.12 no.3
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    • pp.1-6
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    • 2013
  • This study has focused on transparency recovering of the polycarbonate by polishing its surface for recycling. The polycarbonate has many properties such as excellent mechanical strength, electrical insulating, superior heat resistance to other plastic material and especially good transparency. It has been used as barrier for the traffic noise at the roadside and the greenhouse for the palm house. But the polycarbonate has changed slightly as time goes by 10 years because of exposure to the strong sunlight and oxidization in the atmosphere, as result has lost its transparency. Magnetic assisted polishing has been utilized as an effective polishing method to recover the transparency of polycarbonate. The polycarbonate which has been used for 10 years was adopted as the sample. The first surface roughness of the sample was 1$1.23{\mu}mRa$, $7.5{\mu}mRz(DIN)$ respectively. In the experimental results, it showed that the surface roughness of the polished sample improved $0.013{\mu}mRa$, $0.08{\mu}mRz(DIN)$ from the first surface roughness respectively. The surface roughness get almost back again by magnetic assisted polishing. These results also showed that the magnetic assisted polishing was efficient machining method to reuse the polycarbonate material.

Stereo Matching Using Genetic Algorithm (유전 알고리즘을 이용한 스테레오 정합)

  • Kim, Yong-Suk;Han, Kyu-Phil;Kim, Gi-Seok;Ha, Yeong-Ho
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.9
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    • pp.53-62
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    • 1998
  • In this paper, a genetic algorithm-based optimization technique for stereo matching is proposed. Stereo matching is an essential process to recover three-dimensional structure of objects. The proposed two-dimensional chromosomes consist fo disparity values. The cost function of each chromosome is composed of the intensity-difference between two images and smoothness of disparity. The crossover and mutation operators in the two-dimensional chromosomes are described. The operations are affected by the disparities of neighbor pixels. The knowledge-augmented operators are shown to result in rapid convergence and stable result. The genetic algorithm for stereo matching is tested on synthetic and natural images. Experimental results of various images show that the proposed algorithm has good performance even if the images have too dense or sparse feature points. severe noise, and repeating pattern.

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