RLS Beamforming Algorithm Based on Wavelet Transform by Jihong Zhao, Pei Lei, Weihua Wang, Hua Qu, Dan He

Subjects: “…recursive least square algorithm…”
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Fuzzy Rules for Ant Based Clustering Algorithm by Amira Hamdi, Nicolas Monmarché, Mohamed Slimane, Adel M. Alimi

“…This paper provides a new intelligent technique for semisupervised data clustering problem that combines the Ant System (AS) algorithm with the fuzzy c-means (FCM) clustering algorithm. …”
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Multi‐subband fusion algorithm based on autoencoder by Yilin Jiang, Liting Zhang, Li Li, Jinxin Li, Yaozu Yang

“…Abstract A novel algorithm for multi‐subband signal fusion achieves performance superior to traditional all‐pole model, matrix pencil algorithm and deep‐neural‐network (Deep neural network (DNN)). …”
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An iterative Algorithm for Hemicontractive Mappings in Banach Spaces by Youli Yu, Zhitao Wu, Pei-Xia Yang

“…We First introduce a three-step iterative algorithm for approximating the fixed points of the hemicontractive mappings in Banach spaces. …”
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An Algorithm for Higher Order Hopf Normal Forms by A.Y.T. Leung, T. Ge

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Hybrid genetic algorithm based optimization of pilotpattern by Hanbing ZHENG, Xiang YU, Weiwei WANG

“…In OFDM system,sparse channel estimation based on compressed sensing(CS)can make full use of the inherent sparse degree of the wireless channel,which can reduce the pilot overhead and improve the spectrum efficiency.Therefore,a new method based on hybrid genetic algorithm was investigated for the pilot design of CS channel estimation,which was based on the minimization of the matrix cross correlation in the CS theory.In this method,genetic algorithm was used to obtain the initial sub-optimal pilot sequence,and then combined with the pilot position and pilot power,each entry of pilot pattern could be sequentially updated and optimized to make the minimum correlation of measurement matrix.Simulation results show that the proposed method can ensure a better mean square error and bit error rate compared to the pseudo-random pilot design and the equal distance pilot design.…”
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An algorithm for embedding oversubscribed virtual data center by Chukun LU, Fangfang YAN, Dong LI

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An optimization coverage algorithm with controllable dynamic parameters by Chuan LI, Xuejun LI

“…The energy consumption and coverage is a fundamental problem in the field of wireless sensor networks,which is also a priority issue.Based on the isomorphism of the sensor nodes,an optimized coverage algorithm with controllable dynamic parameters（OCCDP）was presented.Firstly,it gave the solution of the largest seamless coverage probability under the joint coverage of three nodes.Secondly,it gave the solving method of the sensor nodes coverage quality expectation in monitoring area and compares to neighbor nodes coverage probability determination method.When there was a redundant coverage,it gave the process of calculation of coverage probability when any sensor node was in the condition of redundant nodes coverage.Finally,through the comparison of the simulation with other algorithms in terms of the coverage quality and the network lifetime,it can be concluded that the average performance can upgrad to 11.02% and 13.27%,which proves the effectiveness and feasibility of the algorithm.…”
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Iterative Algorithms for General Multivalued Variational Inequalities by Yonghong Yao, Muhammad Aslam Noor, Yeong-Cheng Liou, Shin Min Kang

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Machine learning algorithms in air quality modeling by A. Masih

“…It is a fact that, input variable type largely affect the performance of an algorithm, however, it is yet to be known why an algorithm is preferred over the other for a certain task. …”
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An Improved Multiobjective Algorithm: DNSGA2-PSA by Dan Qu, Xianfeng Ding, Hongmei Wang

“…To improve the diversity and decrease execution time of the nondominated sorting genetic algorithm II (NSGA-II), an improved algorithm is presented in this paper, which adopts a new vector ranking scheme to decrease the whole runtime and utilize Part and Select Algorithm (PSA) to maintain the diversity. …”
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Development of Algorithms for Processing Images of Large Volumes by O. N. Vinichuk, V. I. Dravitsa

“…This article presents new algorithms that improve the efficiency of image processing by reducing application loading and processing time, as well as by reducing the load on the operating system.…”
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An optimized routing algorithm in WSN for smart park by Wei DING, Shuquan LI, Siwei LI, Liangrui TANG, Dandan SUN

“…To solve the energy problem in wireless sensor networks used for smart park，an optimized routing algorithm based on routing cost in WSN was proposed.According to the characteristics of smart park，the algorithm took a comprehensive consideration of the remaining energy and geographical location of nodes and exploited a new routing cost function.The sensor nodes selected the node with the minimum routing cost to forward the packets.Simulation results show that the algorithm significantly reduces the energy consumption of the network and extends the network lifetime effectively.…”
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()- model and counting algorithms in dynamic distributed systems by Zhiwei Yang, Weigang Wu, Yishun Chen, Xiaola Lin, Jiannong Cao

“…These algorithms mainly differ in communication cost due to different information collection procedures. …”
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Analysis and Algorithmic Generation of Hepatic Vascular Systems by Lars Ole Schwen, Tobias Preusser

“…Results of the existing “Constrained Constructive Optimization” algorithm are compared to real vascular tree data. …”
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An Automatic Image Inpainting Algorithm Based on FCM by Jiansheng Liu, Hui Liu, Shangping Qiao, Guangxue Yue

“…Aiming at this drawback of the traditional image inpainting algorithms, this paper proposes an automatic image inpainting algorithm which automatically identifies the repaired area by fuzzy C-mean (FCM) algorithm. …”
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The general quasi-order algorithm in number theory by Peter Hilton, Jean Pedersen

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Embedding of national cryptographic algorithm in Hyperledger Fabric by Qi CAO, Shuhua RUAN, Xingshu CHEN, Xiao LAN, Hongxia ZHANG, Hongjian JIN

“…Hyperledger Fabric is an extensible alliance blockchain platform and provides support for enterprise-level commercial blockchain projects.The cryptographic algorithm is the core technologies of the platform, ensuring the security and non-tampering of the data on the chain.But the original Fabric platform lacks the national cryptographic algorithm support.The embedding and support of the national cryptographic algorithm of the Fabric platform was designed and implemented.Firstly, the interaction logic of between components and the invocation scenario of each type of cryptographic algorithm in the Fabric platform were analyzed, an idea of embedding national cryptographic algorithm support for the platform was proposed.Secondly, the modules and interfaces for SM2, SM3 and SM4 were added to BCCSP of the Fabric platform based on the open source code of national cryptographic algorithm implementation.Thirdly, the interface of cryptographic algorithm invoked by the upper layer of each component is associated to the interface of corresponding national cryptographic algorithms, which realized the invocation support of national cryptographic algorithm for the upper layer applications.Finally, the correctness and effectiveness of the embedded national cryptographic algorithm were verified by creating a fabric-gm test instance.And compared with the performances of the test instance built by the mirror of the native Fabric platform.The experimental results show that the embedded national cryptographic algorithm interfaces are corrected and the generated national cryptographic certificates are effective.Moreover, compared with the native Fabric platform, the network start up time increases by about 3%.In the millisecond unit, the transaction time cost increases by about one time, the dynamic certificate generation time increases by about 9%, and all the performance are within the acceptable range.…”
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Greedy algorithms: a review and open problems by Andrea García

Subjects: “…Greedy algorithm…”
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RTRS algorithm in low-power Internet of things by Yuchen CHEN, Yuan CAO, Laipeng ZHANG, Lianghui DING, Feng YANG

“…Considering the feature of periodical uplink data transmission in IEEE 802.11ah low-power wide area network (LWPAN),a real-time RAW setting (RTRS) algorithm was proposed.Multiple node send data to an access point (AP),and the uplink channel resources were divided into Beacon periods in time.During a Beacon period,AP firstly predicted the next data uploading time and the total amount of devices that will upload data in the next Beacon period.The AP calculated the optimal RAW parameters for minimum energy cost and broadcasted the information to all node.Then all devices upload data according to the RAW scheduling.The simulation results show that the current network state can be predicted accurately according to the upload time of the terminal in the last period.According to the predicted state,raw configuration parameters can be dynamically adjusted and the energy efficiency can be significantly improved.…”
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