Reinforcement Learning-Driven Intelligent Truck Dispatching Algorithms for Freeway Logistics by Xiao Jing, Xin Pei, Pengpeng Xu, Yun Yue, Chunyang Han

“…The present study thereby proposed intelligent algorithms for truck dispatching for freeway logistics. …”
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Prediction of growth and feed efficiency in mink using machine learning algorithms by A. Shirzadifar, G. Manafiazar, P. Davoudi, D. Do, G. Hu, Y. Miar

“…The XGB algorithm can be an accurate algorithm to predict the ADG, FCR, and RFI values without measuring costly daily feed intake. …”
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Power control for successive interference cancellation algorithm based on game theory by Song-hua HU, Jian-jun ZHANG, Yang LU, Bin LIU, Jiang-hong HAN

“…It was proved that implementation of successive interference cancellation could improve network throughput in wireless networks,while in order to maximize network throughput,it was a NP-Hard problem that how to control transmission power when successive interference cancellation was used in wireless networks.A non-cooperative game theory is proposed to solve power control between wireless nodes for successive interference cancellation,in which non-cooperative game theory model is proposed and Nash equilibrium is analyzed,and also the proposed algorithm can ob-tain good network throughput than others,simulations validate the results and demonstrate the superiority of the algorithm.…”
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Research on path planning for construction robots based on improved A* algorithm by Zhenshuai WU, Tianfei REN, Jiahui LI, Yiying MA, Cheng SHANG, Youzhi REN

Subjects: “…robot control; construction robot; route planning; swelling treatment; a* algorithm; bezier curve…”
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Massive MIMO signal detection based on approximate message passing algorithm by Chuang QIN, Ziwei ZHENG, Daping LOU, Xianzu FU

“…Massive multiple-input multiple-output(MIMO)brings huge improvements in energy efficiency and reduces emission power by using a large number of antennas,which is known as a key technology in the fifth generation (5G)mobile communication.With the increasing number of antennas,the complexity of signal detection is increasing at the same time.According to the research status of massive MIMO signal detection,approximate message passing algorithm was proposed.The complexity of AMP was compared to some iteration algorithm like Richarson algorithm and Neumann series approximation algorithm.The results indicate that the proposed algorithm can use less iteration to achieve almost the same performance of MMSE algorithm.…”
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Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters by Hamid A. Jalab, Rabha W. Ibrahim

“…In this paper, a novel digital image denoising algorithm called generalized fractional integral filter is introduced based on the generalized Srivastava-Owa fractional integral operator. …”
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Adjusted automata learning algorithm for security protocol adaptive model checking by Jing YANG, Dan FAN, Yu-qing ZHANG

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Monte Carlo Alpha Iteration Algorithm for a Subcritical System Analysis by Hyung Jin Shim, Sang Hoon Jang, Soo Min Kang

“…The effectiveness of the α iteration algorithm is demonstrated for two-group homogeneous problems with varying the subcriticality by comparisons with analytic solutions. …”
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Improved Harmony Search Algorithm to Compute the Underfrequency Load Shedding Parameters by Jose Miguel Riquelme-Dominguez, Martha N. Acosta, Francisco Gonzalez-Longatt, Manuel A. Andrade, Ernesto Vazquez, José Luis Rueda

“…This paper introduces a novel method to compute an optimally parametrized conventional UFLS scheme in specific given operating conditions by formulating it as a constrained problem and using the Improved Harmony Search (IHS) algorithm to solve it. Since there is no previous knowledge of using IHS to solve the UFLS scheme, a numerical parameter sensitivity analysis (PSA) is developed to tune the parameter of the IHS algorithm. …”
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THE ALGORITHM OF THE CASE FORMATION DURING THE DEVELOPMENT OF CLINICAL DISCIPLINES IN MEDICAL SCHOOL by Andrey A. Garanin, Reseda M. Garanina

“…The aim of the study is to develop the algorithm of formation of the case on discipline «Clinical Medicine». …”
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Collision avoidance algorithm and validation based on V2P at intersection by Jiabo ZHANG, Chaofan WANG, Zhe LI

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A Novel Image Encryption Algorithm Based on DNA Subsequence Operation by Qiang Zhang, Xianglian Xue, Xiaopeng Wei

“…We present a novel image encryption algorithm based on DNA subsequence operation. Different from the traditional DNA encryption methods, our algorithm does not use complex biological operation but just uses the idea of DNA subsequence operations (such as elongation operation, truncation operation, deletion operation, etc.) combining with the logistic chaotic map to scramble the location and the value of pixel points from the image. …”
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RESEARCH ON DEEP NEURAL NETWORK LEARNING BASED ON IMPROVED BP ALGORITHM by HUANG Pei

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Chain structure Bluetooth scatternet topology formation algorithm and performance simulations by YANG Fan, WANG Ke, QIAN Zhi-hong

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Distributed energy efficient beamforming algorithm for multicell multiuser downlink system by Wen-yang CHEN, Shi-wen HE, Yong-ming HUANG, Lv-xi YANG

“…A distributed energy efficient beamforming algorithm was studied for multicell multiuser downlink communication system.Firstly,the energy efficient optimization problem was first considered as the maximization of the ratio between the system sum rate and the system power consumption.The fractional programming optimization target was then transformed into a subtractive form via using the fractional programming theorem.Secondly,the problem was decomposed into some subproblems that can be solved respectively by introducing the concept of the interference temperature in cognitive radio networks.Finally,an effective distributed energy efficient beamforming algorithm was proposed by exploiting the Lagrangian duality theorem and optimization theorem.Compared to the classical energy efficient optimization algorithm,the proposed algorithm can achieve an obvious energy efficiency performance gain.…”
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An Consistent Routing Policy Based on Ant Algorithm in Software Defined Networking by Yuwei Wang, Julong Lan, Xiaoqiang Xi, Ximian Fan, Yiming Jiang

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Comparative study of power analysis attacks based on template and KNN algorithm by Jifang JIN, Chengyuan LIU, Xiaohong FAN, Xiaoyi DUAN, Jiayu LIU

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Community detection algorithm based on local affinity propagation and user profile by Kun GUO, Wen-zhong GUO, Qi-rong QIU, Qi-shan ZHANG

“…An algorithm based on local affinity propagation and a new similarity measure concerning user profile is proposed.On one hand,by loosening the exemplar constraint and requiring the messages propagate around a node's neighbors,the algorithm achieves lower time and space complexity without too much lost in clustering accuracy,which makes it adaptable to the mining of large-scale social networks.On the other hand,by designing a hybrid similarity measure based on the topological similarity and the profile similarity of the nodes,the algorithm can effectively tackle the situation of the social networks data without complete user relation information.The experimental results on the artificial datasets and the real-world datasets demonstrate that the algorithm not only has near-linear time complexity and linear space complexity,but also retains high detecting accuracy when handling incomplete networks.…”
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ALGORITHMS FOR IDENTIFICATION OF CUES WITH AUTHORS’ TEXT INSERTIONS IN BELARUSIAN ELECTRONIC BOOKS by Y. S. Hetsevich, T,. I. Okrut, B. M. Lobanov

“…The main stages of algorithms for characters’ gender identification in Belarusian electronic texts are described. …”
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ACS based differentiated service routing algorithm in wireless sensor network by Hong ZHAO, Zhi HU, Ying-you WEN

“…Aiming at the different requirements of data transmission in wireless sensor networks,QoS was divided into three services.By using game theory,the relationship among the delay,reliability and energy consumption during the process of data transmission was analyzed.Based on ACS (ant colony system),ACS based differentiated service and game-theory routing (ADSGR)was proposed.In accordance with the diverse QoS requirements,the ADSGR chooses the suitable paths,and improves network performance and resource utility.Experimental results show the ADSGR has better performance than some other routing algorithms in terms of the delay,reliability and energy consumption.…”
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