A machine learning based variable selection algorithm for binary classification of perinatal mortality. by Maryam Sadiq, Ramla Shah

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GPS signal fast acquisition algorithm using differential code and block processing techniques by HUANG Lei, ZHANG Qi-shan, KOU Yan-hong

“…A novel GPS signal acquisition algorithm using differential C/A codes and block processing techniques was proposed.It was integrated with the advantages of serial correlation method in the time domain,differential digital matched filter method and block processing techniques in the frequency domain,and realized a good compromise be-tween acquisition time and resources consumption,which not only improved the acquisition speed but also reduced the hardware consumption while maintaining an identical processing gain.The experiment results show the algorithm can work well.…”
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Spectrum prediction algorithm in ISM band based on two-dimensional LMBP neural network by Xiaoyu WAN, Pan HU, Zhengqiang WANG

“…With the rapid development and application of short-range wireless communications technology，the electromagnetic interference of ISM（2.4 GHz）band has become more apparent.Using the spectral prediction algorithm to predict the information of spectrum occupancy has become an effective way to solve the problem of compatible coexistence between devices.On the basis of verifying the time-domain and frequency-domain correlation of ISM band，an LMBP neural network of time and frequency domain was proposed and applied in the spectral prediction of ISM band.Through simulations and theoretical analysis，the best training combination of time-frequency point （△t=5，△f=2）was obtained.This point improves 95% of the spectrum prediction accuracy under the conditions of the input vector N=9 of the neural network.It increased 9% and 4% prediction accuracy compared with Markov algorithm and time-domain LMBP neural network and it had a better convergence time of training.…”
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Trust evaluation algorithm of IoT edge server based on cooperation reputation and device feedback by Lin ZHANG, Xinyan WEI, Xiping LIU, Haiping HUANG, Ruchuan WANG

“…Aiming at the security problem of edge server, a trust evaluation algorithm was proposed, which integrated server cooperation reputation and device user feedback to improve the security of edge computing context.In the process of interaction, a fusion algorithm based on objective information entropy theory was used to aggregate the cooperation reputation between servers, and a partial homomorphic encryption algorithm was used to prevent the leakage of user data in the process of interaction.After the interaction, the highly trusted device node was selected to calculate the feedback trust, which overcame the malicious feedback of the traditional mechanism.When calculating the global trust, the expected score of the server and the adaptive weight calculation method were considered, which overcame the limitations of the traditional trust scheme.The experimental results show that the proposed trust calculation scheme has low time complexity and spatial complexity, and can effectively resist the attack of malicious nodes.…”
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Semi-fragile video watermarking algorithm for H.264/AVC based on cost strategy by Wei-wei ZHANG, Chen ZHAO, De-tian HUANG, Pei ZHANG, Yi-xian YANG

“…In order to solve some existing problems on detecting malicious tampering by video watermarking based on H.264/AVC video compression standard,a semi-fragile video watermarking algorithm for H.264/AVC based on cost strategy was proposed.To further improve the robustness of the feature codes in semi-fragile video watermarking algorithm,a new generation algorithm for feature codes by eliminating the correlation of them was proposed.In order to meet the requirement that the semi-fragile watermarks should be uniformly embedded into the video frames to locate the tampered region accurately,a minimal cost function was introduced to select a DCT coefficient in the 4 × 4 block residual to embed watermark which had minimal impact on the video quality and bit rates.Experimental results show that the proposed algorithm can significantly reduce impact on video quality and bit rate because of embedding the watermarking by adopting the minimum cost function and it is sensitive to malicious manipulations.The retrieved feature code and watermarking can detect and locate malicious manipulations.…”
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A bilevel game matching algorithm in cellular-D2D hybrid scenario by Tian YAO, Hui ZHANG

“…With the rapid development of wireless technologies,wireless access networks enter the 5G system phase.5G environment with various technical scenarios is heterogeneous and dynamic,causing great challenges for wireless resource management.Hence,it is significant to achieve the optimal matching between network resources and user demands.Therefore,wireless resource matching algorithms in 5G environment have become one of the hottest research directions.A bilevel game matching algorithm in cellular-D2D hybrid scenario was proposed:a QoE based matching model considering user fairness was constructed,the bilevel matching game theory was used to solve this optimization problem,and the effectiveness of proposed algorithm was verified through simulations.…”
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Recommended System Optimization in Social Networks Based on Cooperative Filter with Deep MVR Algorithm by Kim Hung Pho

“…In the process of extraction operations along with diminishing dimensions, selection and finally extraction of the best features is done using the cooperative filter which is named here based on deep learning- Modified Vector Rotational (MVR) algorithm and its operators. In the following, due to the lack of probabilistic and statistical training in Deep and Reinforcement Learning with a random structure that is used to select users and also to offer users concerning the tastes of the extracted, there is an optimization algorithm for MVR to consider the best features with training. …”
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An Efficient Position Tracking Smoothing Algorithm for Sensorless Operation of Brushless DC Motor Drives by Surya Susan Alex, Asha Elizabeth Daniel

“…This paper presents a new position sensorless scheme in which a smoothing filter algorithm is proposed to improve the results obtained through Extended Kalman Filter (EKF) algorithm in tracking the rotor position for sensorless control of brushless DC motors. …”
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Fault Diagnosis of Gearbox in Multiple Conditions Based on Fine-Grained Classification CNN Algorithm by Pengcheng Jiang, Hua Cong, Jing Wang, Dongsheng Zhang

“…In this article, using a fine-grained classification algorithm, the operating conditions of the object system are considered an approximate classification. …”
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A distributed CRN resource allocation algorithm based on CBR and cooperative Q-learning by Lin XU, Zhijin ZHAO

“…In order to solve the problem of channel and power allocation in distributed cognitive radio networks (CRN),a case-based reasoning (CBR) and cooperative Q-learning algorithm was proposed.In order to optimize the Q initialization of Q-learning algorithm,the current problem and the historical case were matched according to the similarity function,the Q value of the matching case was extracted and normalized as the initial value.Cooperative Q-learning was based on the total reward value,and each agent integrates the Q values of other agents with higher reward values with different weights to gain learning experience to reduce unnecessary exploration.Simulations show that the proposed algorithm can improve the energy efficiency of the cognitive system’s channel and power allocation,and accelerate the convergence speed of the system.…”
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Denoising MEMS accelerometer sensors based on L2‐norm total variation algorithm by R. Abbasi‐Kesbi, A. Nikfarjam

“…By benefiting from the LTV algorithm, the obtained signals from the accelerometer are denoised. …”
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Online energy-efficient node selection algorithm for cooperative sensing in cognitive radio networks by Wei YANG, Dong-lin GUAN, Dong-hui LU, Li-hong PENG, Wen-hua DOU

Subjects: “…online node selection algorithm…”
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The Network Global Optimal Mapping Approach Utilizing a Discrete Firefly Optimization Algorithm by He Jia, Li Xiaomei

“…A computer simulation was conducted to verify the performance and efficiency of the algorithm.…”
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RESEARCH ON ACCURATE MODELING OF HYDROSTATIC MOTORIZED SPINDLE BASED ON RESPONSE SURFACE OPTIMIZATION ALGORITHM by SHEN ZhiDong, DU Xiong, LI HaoLin, CAO WenJie, CUI Yi

Subjects: “…Response surface optimization algorithm…”
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CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization by Nazmiye Ebru Bulut, Emre Dandil, Ugur Yuzgec, Alpaslan Duysak

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FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis by Lin Yuan, Chang-An Yuan, De-Shuang Huang

“…In this paper, we present a unified fast framework integrating adaptive ant colony optimization algorithm with multiobjective functions for detecting SNP epistasis in GWAS datasets. …”
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Optimizing cluster head selection in wireless sensor networks using firefly and genetics algorithm by Navid Moshtaghi Yazdani, Mohammad Hasan Olyaei Torqabeh

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The Design and Optimization of GaAs Single Solar Cells Using the Genetic Algorithm and Silvaco ATLAS by Kamal Attari, Lahcen Amhaimar, Ali El yaakoubi, Adel Asselman, Mounir Bassou

“…In the first step, an initial model was simulated and then the results were processed by an algorithm code. In this work, the proposed optimization method is a genetic search algorithm implemented in Matlab receiving ATLAS data to generate an optimum output power solar cell. …”
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Orthogonal beam codebook based hybrid precoding algorithm for mmWave MIMO system by Weiting ZHAO, Dongliang XIA

“…Due to the high cost and power consumption of some mixed signal components at mmWave frequencies,the conventional full digital precoding technique encounters the problem of high hardware complexity.Consequently,the hybrid analog-digital precoding architecture has attracted the attentions from both academy and industry.Based on this,an orthogonal beam codebook based hybrid precoding algorithm for mmWave MIMO systems was proposed,which utilized the orthogonality of beam codebook to design the analog beamforming vector of each radio frequency (RF) chain in parallel.As a result,the large computational complexity of the conventional orthogonal matching pursuit (OMP) algorithm and the hardware complexity could be greatly reduced.…”
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Study of single image dehazing algorithm based on propagated filtering and minimum color channels by Hong-zhong TANG, Xiao-gang ZHANG, Ling ZHU, Hua CHEN, Xiang WANG, Xiao LI

“…To solve the challenging problem that the edge regions of image have some remained hazes and blackspots,a novel image dehazing algorithm was proposed based on the minimal color channel and propagated filtering.Firstly,an initial atmospheric transmission map was obtained by double-area filtering,then a minimal channel color was introduced as a reference image,and the propagated filtering was combined to optimize the initial atmospheric transmission map.Optimized transmission have the similar edge characteristics as the referenced image,so the deviation of transmission estimation can be effectively avoided for the edge pixels in the depth mutated regions,and the redundant texture information were removed in the initial transmission map.Finally,L-BFGS was used to restore atmospheric light,and the haze-free image can be recovered based on the atmospheric scattering model.Experimental results show that proposed algorithm has the more accurate transmission estimation for the depth mutated edge regions of image,so the recovered image effectively preserves the edges and details in the depth mutated regions,and has better spatial smoothness in the uniform depth regions.The recovered haze-free image with proposed method has a better sharpness and richer color degree.…”
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