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  1. 1881
  2. 1882

    On Degrees of Modular Common Divisors and the Big Prime gcd Algorithm by Vahagn Mikaelian

    Published 2016-01-01
    “…These modifications are used to suggest improved algorithms for gcd calculation and for coprime polynomials detection. …”
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  3. 1883

    Algorithm for Processing X-ray Images Using Fuzzy Logic by A. S. Mannaa

    Published 2024-09-01
    “…The modified method of knee bone X-ray analysis includes the development of an algorithm for automatic detection of structures and anomalies in knee joints, determination and measurement of anatomical parameters, assessment of the degree of damage, etc. …”
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  4. 1884

    Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix by Xuemei YANG, Xi HE, Jiapin XU

    Published 2017-09-01
    “…In order to improve the spectrum sensing performance and overcome the shortcomings of the classical algorithm,a new cooperative spectrum sensing algorithm based on Wishart random matrix theory was proposed.According to the logarithmic distribution characteristics of the sampled covariance matrix eigenvalues and using the ratio of maximum eigenvalue and geometric mean eigenvalue,a simple closed-form threshold expression could be obtained,and the spectrum sensing decision could be performed depend on the threshold.The simulation results show that the proposed algorithm can get better sensing performance even under the conditions of a few number of cooperative users,low signal to noise ratio and a few samples.It is less affected by false-alarm probability and the extreme values,and has better detection performance than similar algorithms.…”
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  5. 1885

    An Algorithm for Ultrasonic Identification of Ceramic Materials and Virtual Prototype Realization by Yu LIU, Xiping HE, Shengping HE

    Published 2024-07-01
    “…To prevent important items from being replaced by a forgery, an ultrasonic fingerprint identification algorithm is proposed and an identification program is developed. …”
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  6. 1886

    Spectrum sensing algorithm based on symmetry of cyclic spectral correlation by Yu-long GAO, Yan-ping CHEN, Xiu-zhi GUAN, Zhong-zhao ZHANG, Xue-jun SHA

    Published 2011-11-01
    “…In response to the shortcoming of conventional algorithms,modified SSCA was exploited to calculate the cyclic spectral correlation of received signal for decreasing the computational complexity.Symmetry of cyclic spectral correlation (CSC) was used to detect the idle spectrum,criteria and method of selecting and judging symmetry were proposed.Conventional binary hypothesis condition was translated to concrete value according to symmetry.In order to eliminate the effect of interference and noise,non-zero cyclic frequencies were selected.Finally,the performance of the presented algorithm was compared with the conventional algorithms by virtue of simulation.Simulation results proved the correctness and the superiority of new algorithms.Using symmetry improves the successful detection probability for low SNR and reduces the computational complexity.…”
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  7. 1887

    Spectrum sensing algorithm based on symmetry of cyclic spectral correlation by Yu-long GAO, Yan-ping CHEN, Xiu-zhi GUAN, Zhong-zhao ZHANG, Xue-jun SHA

    Published 2011-11-01
    “…In response to the shortcoming of conventional algorithms,modified SSCA was exploited to calculate the cyclic spectral correlation of received signal for decreasing the computational complexity.Symmetry of cyclic spectral correlation (CSC) was used to detect the idle spectrum,criteria and method of selecting and judging symmetry were proposed.Conventional binary hypothesis condition was translated to concrete value according to symmetry.In order to eliminate the effect of interference and noise,non-zero cyclic frequencies were selected.Finally,the performance of the presented algorithm was compared with the conventional algorithms by virtue of simulation.Simulation results proved the correctness and the superiority of new algorithms.Using symmetry improves the successful detection probability for low SNR and reduces the computational complexity.…”
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    Article
  8. 1888

    Image Segmentation Based on New Modification on Normalized-Cut Algorithm by Khalil Alsaif

    Published 2010-12-01
    “…In this paper <span style="text-decoration: underline;">wavelet transformation</span>, and high-high frequency components which hold the edges of the image will be used to replace classical high frequency filters of  the old techniques achieved by the normalized cut algorithm ( which  used CANNY filter for edge detection).           …”
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  9. 1889
  10. 1890
  11. 1891

    Evolutionary Optimization Algorithms for Sunlight-Based Positioning Sensor Networks by Jose Pardeiro, Javier V. Gómez, Alberto Brunete, Frode Eika Sandnes

    Published 2014-12-01
    “…The sunlight intensity-based global positioning system (SGPS) is able to geolocate outdoor objects by means of the sunlight intensity detection. This paper presents the integration of SGPS into a sensor network in order to improve the overall accuracy using evolutionary algorithms. …”
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  12. 1892

    A robust audio steganography algorithm based on differential evolution by Zhaopin SU, Chaoyong SHEN, Guofu ZHANG, Feng YUE, Donghui HU

    Published 2021-11-01
    “…., segmented scaling parameters and steganography capacity) and imperceptibility as well as robustness was analyzed.Next, a multi-objective optimization model of audio steganography was presented, in which segmented scaling parameters and steganography capacity were decision variables, imperceptibility and steganography capacity were optimization objectives, and the signal-to-noise ratio was a constraint.Then, a robust audio steganography algorithm based on differential evolution was proposed, including the corresponding encoding, fitness function, crossover and mutation operators.Finally, comparative experimental results show that the proposed steganography algorithm can achieve better robustness against common signal processing attacks on the premise of ensuring imperceptibility and anti-detection.…”
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  13. 1893
  14. 1894

    A Kind of Dynamic Clustering Algorithm Based on Angle Measurement by HE Yun bin, SUN Nuan, WAN Jing, LI Song

    Published 2019-12-01
    “…In order to explore the influence of the angle between elements on the incremental clustering algorithm, this paper is inspired by angle based outlier detection algorithms. …”
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  15. 1895

    An Eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in Khyber-Pakhtunkhwa, Pakistan. by Sami Ullah, Hanita Daud, Sarat C Dass, Hadi Fanaee-T, Alamgir Khalil

    Published 2018-01-01
    “…We propose an extension of the EigenSpot algorithm, called Multi-EigenSpot that is able to handle multiple hotspots by iteratively removing previously detected hotspots and re-running the algorithm until no more hotspots are found. …”
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  16. 1896
  17. 1897

    A Prediction Algorithm for Coexistence Problem in Multiple-WBAN Environment by Zilong Jin, Yoonjeong Han, Jinsung Cho, Ben Lee

    Published 2015-03-01
    “…Our extensive simulation study using Castalia 3.2 simulator based on the OMNet++ platform shows that the proposed algorithm provides more reliable and accurate prediction than existing methods for detecting the coexistence problem in a multiple-WBAN environment.…”
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  18. 1898

    Wavelength Demodulating Algorithm of FBG Dynamic Tuned by DFB Laser by ZHANG Jia-nan, XIONG Yan-ling, WU Ming-ze, LI Wei-bo

    Published 2019-04-01
    “…The Gauss and Lorenz arithmetic function were used to investigate the Fabry-Perot transmission spectra and FBG reflecting spectra. The peak-detection algorithm was written and optimized by programming language based on the accuracy of curve fitting. …”
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  19. 1899
  20. 1900

    A Survey on Deployment Algorithms in Underwater Acoustic Sensor Networks by Guangjie Han, Chenyu Zhang, Lei Shu, Ning Sun, Qingwu Li

    Published 2013-12-01
    “…Node deployment for UASNs is an attractive research topic upon which a large number of algorithms have been proposed recently. This paper seeks to provide an overview of the most recent advances of deployment algorithms in UASNs while pointing out the open issues. …”
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