Sequential and Parallel Algorithms to Compute Turbulent Coherent Structures by Sergio Gandía-Barberá, Andres Cremades, Ricardo Vinuesa, Sergio Hoyas, María Jezabel Pérez-Quiles

“…This includes two sequential algorithms and a parallelizable one, developed to handle large-scale data efficiently. …”
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Encryption and decryption algorithm based on the Latin groupoid isotopes by Liubomir Chiriac, Aurel Danilov, Violeta Bogdanova

Subjects: “…encryption and decryption algorithm…”
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Algorithmic Maps and the Political Geography of Early-modern Japan by Mark Ravina

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Influence of Engagement Algorithm and Structure Parameter on Harmonic Drive by Luo Ji, Sha Chun

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A New Parsing Algorithm for Combinatory Categorial Grammar by Marco Kuhlmann, Giorgio Satta

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Computing Exponential for Iterative Splitting Methods: Algorithms and Applications by Jürgen Geiser

“…In this paper, we concentrate on developing fast algorithms to solve the iterative splitting scheme. …”
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Automatic search algorithm for differential characteristics in ARX ciphers by Zheng-bin LIU

“…How to compute the differential of modular addition efficiently is critical to automatic search for differential characteristic in ARX ciphers.To solve this problem,firstly,the concept of collerated difference distribution table (CDDT) was proposed.By looking up the CDDT,it was very efficient to compute the differential probability of modular addition.Secondly,extending Matsui’s algorithm to ARX cihpers and using CDDT,an automatic search algorithm was proposed,and the algorithm could give the differential characteristic with highest probability in ARX ciphers.Finally,the proposed algorithm was applied to the ARX cipher SPECK,and got the best differential characteristics for SPECK32,SPECK48 and SPECK64.…”
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Correlation-based polarity-check algorithm for instrument transformers by R. A. Mahmoud, E. S. Elwakil

“…The obtained results for various operating conditions and different types of abnormal conditions prove that the suggested algorithm is accurate, reliable and applicable to smart grids and substation automation systems. …”
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Association rules recommendation algorithm supporting recommendation nonempty by Ming HE, Wei-shi LIU, Jiang ZHANG

“…Existing association rule recommendation technologies were focus on extraction efficiency of association rule in data mining.However,it lacked consideration of recommendation balance between popular and unusual data and efficient processing.In order to improve the quality and efficiency of personalized recommendation and balance the recommendation weight of cold and hot data,the problem of mining frequent itemset based on association rule was revaluated and analyzed,a new evaluation metric called recommendation RecNon and a notion of k-pre association rule were defined,and the pruning strategy based on k-pre frequent itemset was designed.Moreover,an association rule mining algorithm based on the idea was proposed,which optimized the Apriori algorithm and was suitable for different evaluation criteria,reduced the time complexity of mining frequent itemset.The theoretic analysis and experiment results on the algorithm show that the method improved the efficiency of data mining and has higher RecNon,F-measure and precision of recommendation,and efficiently balance the recommendation weight of cold data and popular one.…”
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Algorithm of management of patient with alcohol-induced liver disease by M. V. Mayevskaya, M. A. Morozova

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A Global Optimization Algorithm for Generalized Quadratic Programming by Hongwei Jiao, Yongqiang Chen

“…We present a global optimization algorithm for solving generalized quadratic programming (GQP), that is, nonconvex quadratic programming with nonconvex quadratic constraints. …”
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Wireless indoor localization technology based on fingerprint algorithm by Mengdan ZHANG, Guangyue LU, Honggang WANG, Jiming LIU

“…Then the principle of the existing indoor localization algorithm and its developing condition at present were summarized. …”
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TD algorithm based on double-layer fuzzy partitioning by Xiang MU, Quan LIU, Qi-ming FU, Hong-kun SUN, Xin ZHOU

“…When dealing with the continuous space problems,the traditional Q-iteration algorithms based on lookup-table or function approximation converge slowly and are diff lt to get a continuous policy.To overcome the above weak-nesses,an on-policy TD algorithm named DFP-OPTD was proposed based on double-layer fuzzy partitioning and its convergence was proved.The first layer of fuzzy partitioning was applied for state space,the second layer of fuzzy parti-tioning was applied for action space,and Q-value functions were computed by the combination of the two layer fuzzy partitioning.Based on the Q-value function,the consequent parameters of fuzzy rules were updated by gradient descent method.Applying DFP-OPTD on two classical reinforcement learning problems,experimental results show that the algo-rithm not only can be used to get a continuous action policy,but also has a better convergence performance.…”
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Efficient model-and-data based channel estimation algorithm by Kai MEI, Haitao ZHAO, Xiaoran LIU, Jun LIU, Jun XIONG, Baoquan REN, Jibo WEI

“…For orthogonal frequency division multiplexing (OFDM) systems, a hybrid model and data driven channel estimation algorithm was proposed.Combined with two existing channel estimation methods, including a low complex learning-based channel estimation method and the linear minimum mean square error (LMMSE) channel estimation, the estimator with the ability was facilitated to employ online training to improve estimation performance.Meanwhile, the pilot overhead consumed by generating online training data was saved due to the use of the model-based method in the proposed algorithm, which improved the spectrum efficiency.The simulation results demonstrate that the proposed algorithm has better performance under low signal-to-noise ratio (SNR) and better adaptation to practical imperfections compared with conventional channel estimation methods.…”
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Parallelism of multi-scale quantum harmonic oscillator algorithm by Yan HUANG, Peng WANG, Kun CHENG, Feng LIU

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An oversampling FCM-KSMOTE algorithm for imbalanced data classification by Hongfang Zhou, Jiahao Tong, Yuhan Liu, Kangyun Zheng, Chenhui Cao

“…To address this issue, we propose a novel oversampling method named FCM-KSMOTE. The algorithm initially performs a density-based fuzzy clustering on the data, then iterates to partition regions and perform oversampling inside each cluster. …”
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A novel fast tag number estimation algorithm by Yinghua CUI

“…Tag number estimation is one of the key technologies in radio frequency identification (RFID) system.The conventional estimation algorithms usually interrogate all time slots before estimating the tag quantity,which lead to large payload and time consumption.A rapid estimation algorithm was proposed.By judging the collision of the first 4 slots in each frame,the Q parameter values could be adjusted quickly,and then the number of tag estimates could be obtained by querying a small number of slots.Simulation results show that compared with the traditional tag estimation algorithm,the proposed algorithm has the advantages of fast estimation speed and small estimation error,and is very suitable for fast estimation.…”
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Improved SLM algorithm for PAPR reduction in OFDM system by Ce JI, Wenjing ZHU, Ying WEI, Dianxia JIA

“…In order to reduce the peak to average power ratio (PAPR) of the conventional selective mapping (SLM) algorithm,decrease the transmission of side-band information,and improve the spectral efficiency in the orthogonal frequency division multiplexing (OFDM) system,the TL-SLM algorithm based on the conversion matrix and the chaotic sequence was proposed firstly.Although the TL-SLM algorithm could effectively decrease the transmission of side-band information,the reduction of PA P R was limited.To solve this problem,an improved TL-SLM algorithm based on the rotation vector was proposed,which was the TR-SLM algorithm.TR-SLM algorithm introduced the rotation vector to generate more time-domain alternative signals to further reducing the PA P R.The performance analysis shows that although the TL-SLM algorithm and the TR-SLM algorithm increase the complexity a little,the PA P R performance is effectively improved and the transmission of side-band information is greatly reduced.…”
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Rate control algorithm for no-feedback distributed video coding by HENJian C, Chao HUI, Yong-hong KUO

“…The simulation results show that compared with the existed methods, the proposed algorithm can improve the quality of side information estimation considerably especially for the middle-high motion video sequences and in-crease the average PSNR (peak signal-to-noise ratio) of decoded video.…”
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An Improved Algorithm for TD-LTE Downlink Time Synchronization by Wenle Bai, Xu Wang, Yongmei Zhang, Mugen Peng

“…Aimed at the application problem of timing synchronization algorithm in orthogonal frequency division multiplexing system, an improved algorithm for TD-LTE downlink time synchronization was proposed. …”
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