A ranking hashing algorithm based on listwise supervision by Anbang YANG, Jiangbo QIAN, Yihong DONG, Huahui CHEN

“…Recently,learning to hash technology has been used for the similarity search of large-scale data.It can simultaneous increase the search speed and reduce the storage cost through transforming the data into binary codes.At present,most ranking hashing algorithms compare the consistency of data in the Euclidean space and the Hamming space to construct the loss function.However,because the Hamming distance is a discrete integer value,there may be many data points sharing the same Hamming distance result in the exact ranking cannot be performed.To address this challenging issue,the encoded data was divided into several subspaces with the same length.Each subspace was set with different weights.The Hamming distance was calculated according to different subspace weights.The experimental results show that this algorithm can effectively sort the data in the Hamming space and improve the accuracy of the query compared with other learning to hash algorithms.…”
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Grey evaluation model and algorithm of network attack effectiveness by WANG Hui-mei, JIANG Liang, XIAN Ming, WANG Guo-yu

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Automatic Synthesis Algorithm of Topological Structure of Series Mechanism by Liu Xiaoshan, Luo Yufeng, Shi Zhixin, Wang Gang, Xia Yongqiang

“…Then,the locations relationships among kinematic pairs are thoroughly enumerated by using the method of exhaustion,the automatically solving of position and orientation characteristics set is realized by using algorithm,the mechanism that meet the requirement is selected,and the GUI human-computer interaction interface is designed. …”
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Application and Development of Enhanced Chaotic Grasshopper Optimization Algorithms by Akash Saxena, Shalini Shekhawat, Rajesh Kumar

“…In recent years, metaheuristic algorithms have revolutionized the world with their better problem solving capacity. …”
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General Influence Coefficient Algorithm in Balancing of Rotating Machinery by Yu Xiaoping

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Load balance multicast routing algorithms on overlay network by ZHANG Xiao-yu, ZHANG Guang-zhao

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Performance analysis of topic detection algorithms in distributed environment by Lu DENG, Yan JIA, Binxing FANG, Bin ZHOU, Tao ZHANG, Xin LIU

“…Social network has become a way of life,therefore more and more people choose social network to express their views and feelings.Quickly find what people are talking about in big data gets more and more attention.And a lot of related methods of topic detection spring up in this situation.The performance analysis project was proposed based on the characteristics of social network.According to the project,the performances of some typical topic detection algorithms were tested and compared in large-scale data of Sina Weibo.What’s more,the advantages and disadvantages of these algorithms were pointed out so as to provide references for later applications…”
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Development of algorithm for segmentation of handwritten text using masks by V. Yu. Kobenko, S. O. Frolov, V. I. Talalayev

“…Describes common methods of segmentation, allowing to solve this problem: method of color image analysis the binary image segmentation method of fixing level, as well as, a method for the separation and analysis of circuits. The proposed algorithm for text segmentation based on the use of the mask of the original image to simplify the segmentation of text in images with a non-monotonic background. …”
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Survey of research on application of heuristic algorithm in machine learning by Yanping SHEN, Kangfeng ZHENG, Chunhua WU, Yixian YANG

“…Aiming at the problems existing in the application of machine learning algorithm,an optimization system of the machine learning model based on the heuristic algorithm was constructed.Firstly,the existing types of heuristic algorithms and the modeling process of heuristic algorithms were introduced.Then,the advantages of the heuristic algorithm were illustrated from its applications in machine learning,including the parameter and structure optimization of neural network and other machine learning algorithms,feature optimization,ensemble pruning,prototype optimization,weighted voting ensemble and kernel function learning.Finally,the heuristic algorithms and their development directions in the field of machine learning were given according to the actual needs.…”
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Application of Extreme Learning Machine Algorithm for Drought Forecasting by Muhammad Ahmad Raza, Mohammed M. A. Almazah, Zulfiqar Ali, Ijaz Hussain, Fuad S. Al-Duais

“…This research has inferred the implication and the appropriateness of the extreme learning machine (ELM) algorithm for drought forecasting. For numerical evaluation, time series data of the Standardized Precipitating Temperature Index (SPTI) are used for nine meteorological stations located in various climatological zones of Pakistan. …”
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Research on multi-bit decoding algorithms for polar codes by Zhouqing SHEN, Junna SHANG

“…Aiming at the problem of high delay of successive cancellation lists (SCL) decoding algorithm for polar codes,a multi-bit SCL (MSCL) decoding algorithm based on log-likelihood ratio was proposed.The multiple codeword bits could be decoded simultaneously at a single decision time.Without loss of SCL decoding performance,the decoding delay was reduced from 3N-2 clocks to 4N/M-2 clocks.Compared with the existing multi-bit SCL decoding algorithm,the MSCL decoding algorithm had a lower complexity of the path metric calculation.In order to reduce the decoding delay and memory space of the cyclical redundancy check (CRC) assisted SCL (CA-SCL) decoding algorithm,a segmented CRC assisted MSCL (SCA-MSCL) decoding algorithm was proposed,and a segmentation information codeword length correction algorithm was proposed.By adjusting the length of the relevant segment,the information bit index set A was guaranteed.Under the same premise,the corresponding information bit index at the end of each segment could be divisible by M.The SCA-MSCL algorithm could output decoded code words as early as possible by using multiple CRC decisions,thereby reducing the decoder’s storage space and decoding delay.…”
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Special Issue on Scheduling Theory and Algorithms for Sustainable Manufacturing by Alexandre Dolgui, David Lemoine, María I. Restrepo, Frank Werner

“…Algorithms…”
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Study on an improved naive Bayes algorithm in spam filtering by Lei YANG, Cui-ling CAO, Jian-guo SUN, Li-guo ZHANG

“…A method of improved support vector machine naive Bayes algorithm was proposed——TSVM-NB algorithm.…”
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A Polynomial Algorithm for Weighted Toughness of Interval Graphs by Ming Shi, Zongtian Wei

“…This parameter is generalized to weighted graphs, and the concept of weighted toughness is proposed. A polynomial algorithm for computing the weighted toughness of interval graphs is given.…”
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HASHING ALGORITHM BASED ON TWO-DIMENSIONAL CHAOTIC MAPPINGS by A. V. Sidorenko, I. V. Shakinko

“…A new hashing algorithm based on dynamic chaos is proposed. Owing to the use of chaotic mappings, this algorithm is irreversible and a search for two messages with identical hash-values becomes computationally difficult. …”
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Frequent items maintaining algorithms in network traffic analysis by DU A-ning, CHENG Xiao-ming

Subjects: “…frequent item maintaining algorithm…”
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Sufficient Conditions for Global Convergence of Differential Evolution Algorithm by Zhongbo Hu, Shengwu Xiong, Qinghua Su, Xiaowei Zhang

“…The differential evolution algorithm (DE) is one of the most powerful stochastic real-parameter optimization algorithms. …”
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An improved sparrow search algorithm with multi-strategy integration by Zongyao Wang, Qiyang Peng, Wei Rao, Dan Li

Subjects: “…Sparrow search algorithm…”
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Algorithm of Development for Stabilization of Socio-Ecological Situation in Karakalpakstan by Alisher Abdullaev

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Quantum implementation of the classical guided image filtering algorithm by Jiale Mu, Xiaofei Li, Xianghua Zhang, Pinghe Wang

“…Here, we report a quantum implementation of guided image filtering algorithm, based on the novel enhanced quantum representation (NEQR) model, and the corresponding quantum circuit has been designed. …”
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