Domain of interests clustering algorithm based on users’ preferred topics by GONG Wei-hua1, YANG Liang-huai1, JIN Rong2, DING Wei-long1

“…In order to solve the problem of users’ preferences changing frequently,an iterative computing method was presented to gain the weights of users’ preferences as time goes.A bipartite graph was constructed to show the relations of users’ interests and topic classes.On this base,a novel topic-based clustering（TBC） algorithm was proposed to group the nearest neighbors according to users’ interests,which had changed the usual hard partition method meaning "one or the other" for the clustering items.And the partitioned domains of users’ interests based on multiple topics was also es-tablished by the algorithm,which not only fully profiled users’ interests and the relations of topics indirectly reflected in different domains,but also could adaptively track the changes of users’ interests.Experimental results show that TBC method has better declustering outcome of users’ interests than both the traditional K-Means algorithm and FCM method belonged to the soft clustering,and the TBC algorithm also has higher recommendation quality and better efficiency in personalized recommender services.…”
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PCB Drill Path Optimization by Combinatorial Cuckoo Search Algorithm by Wei Chen Esmonde Lim, G. Kanagaraj, S. G. Ponnambalam

“…To increase PCB manufacturing productivity and to reduce production costs, a good option is to minimize the drill path route using an optimization algorithm. This paper reports a combinatorial cuckoo search algorithm for solving drill path optimization problem. …”
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An Algorithm for Extracting Intuitionistic Fuzzy Shortest Path in a Graph by Siddhartha Sankar Biswas, Bashir Alam, M. N. Doja

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SEARCH ALGORITHM FOR THE PARAMETRIC IDENTIFICATION OF THE ELECTRIC DRIVE OF THE MONITORING SYSTEM by A. S. Abufanas, A. A. Lobaty, A. G. Shvedko

“…A general structural diagram of the parametric identification search system with a gradient algorithm is presented.As an example for evaluating the operability of the proposed algorithm, we consider the simplest model of an electric drive, given by a transfer function in the form of an inertial link. …”
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Improved snow geese algorithm for engineering applications and clustering optimization by Haihong Bian, Can Li, Yuhan Liu, Yuxuan Tong, Shengwei Bing, Jincheng Chen, Quance Ren, Zhiyuan Zhang

Subjects: “…Snow geese algorithm…”
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English Grammar Error Correction Algorithm Based on Classification Model by Shanchun Zhou, Wei Liu

“…English grammar error correction algorithm refers to the use of computer programming technology to automatically recognize and correct the grammar errors contained in English text written by nonnative language learners. …”
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Research on High-Dynamic Tracking Algorithms for FH-BOC Signals by Xue Li, Shun Zhao, Xinyue Hou, Lulu Wang, Yinsen Zhang

“…Simulation results indicate that the algorithm achieves centimeter-level pseudorange measurement accuracy for FH-BOC navigation signals under the JPL high-dynamic model.…”
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Efficient Dynamic Replication Algorithm Using Agent for Data Grid by Priyanka Vashisht, Rajesh Kumar, Anju Sharma

“…The result shows the efficiency of EDRA algorithm in terms of mean job execution time, network usage, and storage usage of node.…”
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Fractional Dynamics of Genetic Algorithms Using Hexagonal Space Tessellation by J. A. Tenreiro Machado

“…The paper formulates a genetic algorithm that evolves two types of objects in a plane. …”
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The risk of shortcutting in deep learning algorithms for medical imaging research by Brandon G. Hill, Frances L. Koback, Peter L. Schilling

“…Abstract While deep learning (DL) offers the compelling ability to detect details beyond human vision, its black-box nature makes it prone to misinterpretation. A key problem is algorithmic shortcutting, where DL models inform their predictions with patterns in the data that are easy to detect algorithmically but potentially misleading. …”
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Polar codes decoding algorithm based on convolutional neural network by Rui GUO, Fanchun RAN

“…In order to solve the problem that the existing Polar code decoding algorithm based on neural network can only decode short codewords (codewords length N≤64),a new decoding algorithm using convolution neural network for long codewords (N≥512) was put forward.Instead of using a fixed drawn from the data sample proportion as training set and test set,the neural network parameters epoch and batch were used to control the neural network input,and the data explosion problem caused by the long codewords was solved.In addition,the influence of batch and epoch parameters on the decoding performance of convolution neural network was explored and the performance difference of neural network using different activation functions were investigated.Simulation results show that with the traditional SCL (successive cancellation list,L=2) decoding algorithm,convolution neural network in low signal-to-noise ratio on the performance is better than that of SCL (L=2),in high signal-to-noise ratio and SCL (L=2) algorithm of similar performance,and the larger the training data set,the better the decoding performance of neural network.…”
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Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management by Anjali Agrawal, Seema N. Pandey, Laxmi Srivastava, Pratima Walde, R. K. Saket, Baseem Khan

“…This paper proposes a multiobjective salp swarm algorithm (MOSSA) approach for transmission congestion management (CM), implementing demand side management activities. …”
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The Influence of Bayer Demosaic Algorithms on Spatiotemporal Frequency Response Measurements by Brian Deegan, Dara Molloy, Jordan Cahill, Darragh Mullins, Enda Ward, Edward Jones, Martin Glavin

“…The results of the study show that of the demosaic algorithms tested, the Malvar et al. algorithm had the highest SFR@Ny/4, while the Menon et al. demosaic algorithm had the highest SFR at Ny/2 and at the Nyquist frequency. …”
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Hybrid Arctic Puffin Algorithm for Solving Design Optimization Problems by Hussam N. Fakhouri, Mohannad S. Alkhalaileh, Faten Hamad, Najem N. Sirhan, Sandi N. Fakhouri

Subjects: “…arctic puffin algorithm…”
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Improved Image Compression Scheme Using Hybrid Encoding Algorithm by Yusra Ahmed Salih, Aree Ali Mohammed, Loay Edwar George

“…In this work, an effective compression method for hybrid images is proposed based on the discrete wavelet transformation and hybrid encoding algorithm (Huffman and SPIHT). This paper's primary participation is to take advantage of the hybrid encoding technique to maintain the quality of the reconstructed image and the reduction of time complexity. …”
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A Vehicle Detection Algorithm Based on Deep Belief Network by Hai Wang, Yingfeng Cai, Long Chen

“…On-road experimental results demonstrate that the algorithm performs better than state-of-the-art vehicle detection algorithm in testing data sets.…”
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Fault-injection attack on countermeasure algorithms of RSA-CRT cryptosystem by Fanyu KONG, Yong QIAO, Pengtao LIU, Xiaodong LIU, Dashui ZHOU

“…As a widely-applied public-key cryptosystem in TLS,SSL and IPSec protocols,the security of RSA cryptosystem is of great importance.At FDTC 2014,Rauzy and Guilley proposed several improved countermeasure algorithms of RSA implementation based on Chinese remainder theorem,which were used to defeat fault-injection attacks.New fault-injection attacks on two of their countermeasure algorithms are proposed.During the RSA computation process,a permanent fault is injected and then a faulty RSA signature result is induced.The RSA private key can be obtained by using the faulty RSA signature and the correct result.Therefore,Rauzy and Guilley’s two countermeasure algorithms cannot resist our fault-injection attack.…”
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Statistical modeling based fast rate estimation algorithm for VVC by Wei QI, Haibing YIN, Hongkui WANG, Xiaofeng HUANG, Weihong NIU

“…To reduce the coding complexity of the rate-distortion optimization process of the latest video coding standard versatile video coding (VVC), a fast rate estimation model based on statistical modeling was proposed.Firstly, the quantization behavior in dependent quantization (DQ) and the context dependency in entropy coding were fully considered.Features that could describe context state transition in the coding process were proposed to estimate rate of some synatax elements in a TU preliminarily.Secondly, coefficient chaos and sparsity features were proposed to distinguish the influence of coefficient distribution difference on the rate cost based on the coefficient distribution characteristics which built a TU level rate model.Finally, large-size transform unit (TU) and small-size TU was modeling respectively according to the rate composition character to achieve more accurate rate estimation.A large number of parameters were trained by regression model through statistical methods, and the final linear rate model was obtained which was applied to the mode decision.Experimental results show that the proposed algorithm can achieve 16.289% complexity reduction with 1.567% BD-BR increase for RA configuration.…”
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Sensorless MPPT Algorithms for PV Systems in Partially Shaded Scenarios by Guilherme M. S. Martines, Moacyr A. G. de Brito, Edson A. Batista, Ruben B. Godoy, Tiago H. A. Mateus

“… This manuscript presents current sensorless algorithms for maximum power point tracking (MPPT) in partially shaded photovoltaic (PV) systems. …”
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A microscopic image stitching algorithm with improved energy function by WANG Jiang’an, LIANG Wenqian, HUANG Le, QIN Linzhen

“…Addressing the challenge of traditional optimal suture algorithms in effectively eradicating splicing seams after fusing microscopic images, an image fusion optimization algorithm based on the optimal suture was proposed. …”
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