Dynamic beam shut-off algorithm for LEO satellite constellation by Shuaijun LIU, Yuemei HU, Chunshi FAN, Teng LING, Lixiang LIU

“…Aiming at the problems of the relatively dense coverage of the satellites in the space segment of the low earth orbit (LEO) multibeam satellite constellation network,which resulted in relatively dense areas in some regions,causing severe inter-beam interference and unnecessary beam resource overhead,a beam shut-off algorithm was proposed with global coverage requirements.The dynamic beam shut-off (DBSO) optimization problem was formulated in LEO multibeam satellite constellation network.Then,the problem was proved to be NP-complete and a heuristic DBSO algorithm was proposed.Simulation scenario considers the Iridium constellation network scenario with total 3 168 beams,and it shows that the number of required activated beams is only 1 913 with 39.61% beam resource reduction.…”
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Executive dynamic scheduling algorithm based on high-order heterogeneity by Hongyong JIA, Yunfei PAN, Wenhe LIU, Junjie ZENG, Jianhui ZHANG

“…At present, most isomer scheduling models in DHR systems only considered second-order isomerism and lack dynamics.In order to solve these problems, a dynamic scheduling algorithm was proposed, which combined heterogeneity and dynamics by determining a scheduling scheme with maximum scheduling value.The value was obtained by combining high-order heterogeneity and historical information.The experimental results show that the proposed algorithm has better defense capabilities than other scheduling algorithms, and its strategy can achieve a balance of dynamics and security.…”
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Fast panoramic image stitching algorithm based on parameter regression by Fan GUO, Xiaohu LI, Wentao LIU, Jin TANG

“…In reality, the field of view of images acquired by cameras was usually limited, and the demand for panoramic images was increasing.Therefore, a fast panoramic image stitching algorithm based on parameter regression was proposed for panoramic image sequences.The traditional image registration task was transformed into deep learning combined with machine learning, a multi-scale deep convolutional neural network (MDCNN) based on Gaussian difference pyramid was designed to extract features of stitching images, and LightGBM regression model was used to predict stitching parameters.The transformation matrix and the focal length of the camera were obtained to align the images, and a hyperbolic image fusion algorithm was designed to eliminate the stitching seam between the images.The experimental results show that the proposed algorithm can quickly mosaic images and obtain clearer and more natural panoramic mosaic effects than the existing representative algorithms.It also has good adaptability for infrared images.…”
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High efficiency algorithm of power and bit allocation for OFDMA system by ZHANG Dong-mei1, XU You-yun1, CAI Yue-ming1

“…Simulation results showed that,the proposed algorithm need not iteration and could obviously decrease the operation complexity with a slight descent in system throughput contrast to other algorithms. …”
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Acoustic source tracking algorithm using track before detect by Jiang-an DAI, Tian-shuang QIU

“…In order to improve tracking performance in a noisy and reverberant environment,an acoustic source tracking algorithm using track before detect was proposed.This algorithm used a modified steered response power as localization function which take into account a rectangular region to achieve more robust source location estimation than steered response power function and applied track-before-detect technology to avoid reduplicate calculation of the same rectangular region so that the algorithm could reduce the computation burden without decreasing the accuracy.The simulation results verified that the proposed algorithm can achieve more accurate tracking results than traditional tracking algorithm in a noisy and reverberant environment.…”
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2D Efficient Unconditionally Stable Meshless FDTD Algorithm by Kang Luo, Yun Yi, Yantao Duan, Boao Xu, Bin Chen

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Reachability testing algorithm for parallel program in heterogeneous network environment by WANG Wei1, DU Cui-lan2, ZHANG Hong-li1

“…Orienting to difficulty of testing nondeterministic parallel programs,the relationship between message-passing behavior and network performance constraint in grid environment was analyzed,and a new limited reachability testing algorithm was proposed,which was called reachability testing algorithm with network performance constraint,based on classic reachability algorithm.This algorithm only tested those execution paths with high happening possibility,which can reduce the number of those paths to be tested.The testing efficiency is improved,and the testing completeness is held reasonably.…”
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Trajectory Tracking Control of Robot based on Improved Genetic Algorithm by Liu Yiyang, Liu Mingming

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Development of a pediatric obstructive sleep apnea triage algorithm by D. S. Heath, H. El-Hakim, Y. Al-Rahji, E. Eksteen, T. C. Uwiera, A. Isaac, M. Castro-Codesal, C. Gerdung, J. Maclean, P. J. Mandhane

“…The third algorithm, where MOS was used to stratify risk for AT among those children with 2+ tonsils, had the same OR, sensitivity, and specificity as the tonsil-only algorithm. …”
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Adaptive fractional-order Darwinian particle swarm optimization algorithm by Tong GUO, Ju-long LAN, Yu-feng LI, Shi-wen CHEN

“…Testing results on several well-known functions demonstrate that AFO-DPSO substantially enhances the performance in terms of convergence speed, solution accuracy and algorithm stability. Compared with PSO, HPSO, DPSO, APSO, FO-PSO, FO-DPSO and NCPSO, the global optimality of AFO-DPSO are greatly improved.…”
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Interference elimination based spectrum allocation algorithm for cognitive radio by Wen-feng DU, Ya-tao LIU, Zhong MING, Yin-xue SUI

“…With the spectrum allocation process in cognitive radio network,an interference elimination based spectrum allocation algorithm was proposed to improve the utilization of spectrum by allocating available spectrum to all cognitive users which can simultaneously access the same spectrum without interference.Meanwhile,this algorithm would allocate spectrum to cognitive user,which had not been assigned in previous allocation process,with reference to the amount of available spectrums in the initial stage to optimize t fairness of spectrum allocating process.Extensive simulation results show the proposed algorithm can achieve better throughput when the amount of available spectrum is far less that of cognitive user.…”
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Research and application of traffic engineering algorithm based on deep learning by Daoyun HU, Jin QI, Qianchun LU, Feng LI, Hongqiang FANG

“…With the development and application of 5G network, the amount of traffic in network increased rapidly, which caused the lack of bandwidth resource.In order to improve the utilization of network resource and satisfy the critical user requirement for QoS (quality of service), a novel traffic engineering algorithm based on deep learning in SDN was proposed.At last, simulation results show that the proposed algorithm not only can calculate an efficient path for service in real time, but also can improve the QoS and the utilization of network resource, as well as reduce network congestion.…”
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Optimum iterative water-filling algorithm for cognitive MIMO MAC by Fei WEI, Zhen YANG

“…The sum-rate maximization problem of the cognitive multiple-input multiple-output multiple access channel (MIMO MAC) under transmit power and interference temperature constraints was addressed.By exploiting the partial dual decomposition technique to relax the interference temperature constraint,the original problem was decomposed into more tractable subproblems.An iterative algorithm,in which the dual variable update and the iterative water-filling computation were performed alternately,was proposed to obtain the optimum transmit covariance matrices that achieved the maximum sum-rate.Finally,simulation results have been presented to verify the effectiveness of the algorithm.…”
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Credit card fraud detection through machine learning algorithm by Agyan Panda, Bharath Yadlapalli, Zhi Zhou

“…To help fraud investigators, more algorithms are turning to powerful machine learning methodologies. …”
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Interactive Visualization of the Printed Circuits Tracing Algorithms for Educational Purposes by D. O. Petrov

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Pixel feature-weighted scale-adaptive object tracking algorithm by Hui-lan LUO, Fang-fang DU, Fan-sheng KONG

“…An effective object tracking method using weighted pixel features was proposed to deal with all kinds of complicated tracking situations,such as target movement,rotation,background interference and scaling and so on.First,the color feature and location information of the pixels in the target area were used to build the object model.Then the average weight image was used to estimate the scale variation coefficient.The aim was to adapt to the scale changes of the target.Finally,an update model was proposed,which was able to renew the object model and background model.The experimental results show that the proposed algorithm could make full use of the differences between pixels in the target area,so it can track more quickly and more effectively with strong robustness.…”
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Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix by Xuemei YANG, Xi HE, Jiapin XU

“…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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A Decomposition-Based Evolutionary Algorithm with Neighborhood Region Domination by Hongfeng Ma, Jiaxu Ning, Jie Zheng, Changsheng Zhang

“…The decomposition-based multi-objective optimization algorithm MOEA/D (multi-objective evolutionary algorithm based on decomposition) introduces the concept of neighborhood, where each sub-problem requires optimization through solutions within its neighborhood. …”
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Domain name generation algorithm based on improved Markov chain by QIAN Zhiye, LI Xue, LI Suogang

Subjects: “…domain name generation algorithm…”
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An Algorithm for Fuzzification of WordNets and its Application in Sentiment Analysis by Yousef Alizadeh-Q, ‌‌Behrouz Minaei Bidgoli, Sayyed Ali Hossayni, Mohammad-R Akbarzadeh-T, Diego Reforgiato Recupero, Aldo Gangemi

“…A theoretical proof is also proposed for the validity of results of the proposed algorithm. Then, inputting the open-American-online-corpus (OANC) and UKB word-sense-disambiguation to the algorithm, we construct and publish online the fuzzified version English WordNet (FWN), and apply them in a Sentiment Analysis problem.…”
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