Fast mode selection of intra prediction algorithm based on spatial and frequency analysis by Shu-bo ZHAN, Jian-bin SONG, Li MA, Fang-chun YANG

“…By using of the features of DCT coefficients in frequency domain and the correlation of the predictive mode in spatial domain,the proposed algorithm evaluated the complexity of encoding block and selected encoding block size firstly,computed the texture direction and pre-selected most possibly prediction mode of 16×16 block secondly,and then got the neighbor block’s optimum mode and narrowed mode selection range of 4×4 block.The experiments show that,compared with existing algorithms,in the case of almost equal quality,the speed of the algorithm is significantly improved.…”
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RETRACTED: Algorithm for systematizing information about scientific activities in the environmental education system by Katalazhnova Irina

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Research on Energy Efficiency Management of Forklift Based on Improved YOLOv5 Algorithm by Zhenyu Li, Ke Lu, Yanhui Zhang, Zongwei Li, Jia-Bao Liu

“…In the data preprocessing section, through operations such as framing and clustering the collected video data and using the improved image hash algorithm to remove similar images, a new dataset of forklift goods was built. …”
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Attention Feature Network Extraction Combined with the Generation Algorithm of Multimedia Image Description by Beibei Sun

“…After the testing of the database, the results indicate that the calculation method of the algorithm put forward in this paper is more accurate than the top-down multimedia image algorithm generated by a single attention.…”
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Joint beam hopping and coverage control optimization algorithm for multibeam satellite system by Guoliang XU, Feng TAN, Yongyi RAN, Feng CHEN

“…To improve the performance of multibeam satellite (MBS) systems, a deep reinforcement learning-based algorithm to jointly optimize the beam hopping and coverage control (BHCC) algorithm for MBS was proposed.Firstly, the resource allocation problem in MBS was transformed to a multi-objective optimization problem with the objective maximizing the system throughput and minimizing the packet loss rate of the MBS.Secondly, the MBS environment was characterized as a multi-dimensional matrix, and the objective problem was modelled as a Markov decision process considering stochastic communication requirements.Finally, the objective problem was solved by combining the powerful feature extraction and learning capabilities of deep reinforcement learning.In addition, a single-intelligence polling multiplexing mechanism was proposed to reduce the search space and convergence difficulty and accelerate the training of BHCC.Compared with the genetic algorithm, the simulation results show that BHCC improves the throughput of MBS and reduces the packet loss rate of the system, greedy algorithm, and random algorithm.Besides, BHCC performs better in different communication scenarios compared with a deep reinforcement learning algorithm, which do not consider the adaptive beam coverage.…”
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Feature extraction algorithm based on quaternion common spatial pattern for banknote recognition by Shan GAI

“…New feature extraction algorithm was proposed based on quaternion common spatial pattern in order to solve the lack of effective description of phase information in the banknote feature extraction and analysis. …”
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Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes by Cillian Thompson, Oscar Higgins

“…In this study, in order to discover hidden patterns and diagnose diabetes, a particle swarm intelligence algorithm has been used along with a neural network to increase the accuracy of diabetes diagnosis. …”
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An adaptive unscented Kalman filter algorithm for electronic archives information data denoising by Ting ZHOU

“…The adaptive unscented Kalman filter noise reduction algorithm for electronic archives information data was studied to address the issue of data loss during the noise reduction process, as well as the noise covariance and initial value deviation of the data after gross errors.The architecture of electronic archives informatization consisted of the data, business, and user layers.In the data layer, the electronic archives informatization data underwent pretreatment, decision-making, monitoring, and analysis based on user data requests from the user layer.Assumptions were made on the electronic archives informatization data using the Laida criterion to determine the standard deviation probability and establish intervals.Gross errors were eliminated and the noise covariance of the data after gross error removal was estimated using the Sage-Husa filter.This helped to suppress the deviation of the initial value and preserve the original data as much as possible.The traceless Kalman algorithm was utilized to estimate the unknown noise characteristics of electronic archives informatization data in real-time, enabling the noise reduction of electronic archives informatization data.The virtual induction service connected the data, users, and business layer, facilitating the presentation of the required electronic archives information to users in the business layer.Experimental results demonstrate that the algorithm effectively removes various noises from electronic archives information data while retaining the valid data.…”
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Research on Multistage Rotor Assembly Optimization Methods for Aeroengine Based on the Genetic Algorithm by Yue Chen, Jiwen Cui, Xun Sun, Shihai Cui

“…In this study, an assembly optimization method for the multistage rotor of an aeroengine is proposed based on the genetic algorithm. Firstly, a spatial location propagation model is developed to accurately predict the spatial position of each rotor after assembly. …”
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Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

“…The primary objective of this paper is to address the shortcomings of existing algorithms in the context of UAV-based object detection. …”
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Improved anticipatory scheduling algorithm based on workload characteristic and service time evaluation by Jin-zhong CHEN, Nian-min YAO, Shao-bin CAI, Mei-ling SUN

“…Anticipatory scheduling (AS) of Linux I/O schedule layer assigns fixed anticipation period length to each process.It will introduce extra delay if I/O request does not arrive in time.The improved anticipatory scheduling (WPCAS) algorithm is proposed which is based on workload characteristic and service time.WPCAS includes process classifier(PC) module and request service time evaluation (STE) module.PC module assigns different anticipation period lengths in terms of workload characteristic.STE module decides whether to anticipate the coming request according to service time.Experimental results show that WPCAS algorithm is superior to 95%-Heuristic and AS in terms of throughput,average waiting time of anticipation success and deceptive idleness.…”
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Soil Classification Based on Deep Learning Algorithm and Visible Near-Infrared Spectroscopy by Xueying Li, Pingping Fan, Zongmin Li, Guangyuan Chen, Huimin Qiu, Guangli Hou

“…The classification results of different number of training samples are analyzed and compared with the support vector machine algorithm. Under the condition that Kennard–Stone algorithm divides the calibration set, the classification results of six different soil types and single six soil types by convolutional neural network are better than those by the support vector machine. …”
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An Evolutionary Algorithm with Clustering-Based Assisted Selection Strategy for Multimodal Multiobjective Optimization by Naili Luo, Wu Lin, Peizhi Huang, Jianyong Chen

“…Numerical experiments report the effectiveness and advantages of our proposed algorithm.…”
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Experimental Research on Automatic Alignment and Control Algorithm of Spatial Light-Fiber Coupling by Xizheng Ke, Benkang Yin

“…A fiber coupler based on two-dimensional (2D) piezoelectric ceramics was developed, which uses the stochastic parallel gradient descent (SPGD) algorithm to realize the automatic coupling of space light-SMF. …”
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Bit-filling algorithm for fast subcarrier-selecting in ultrasonic through-metal communication by Linsen XU, Wei YANG, Hongxian TIAN, Tao WU

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LEO multi-service routing algorithm based on multi-objective decision making by Li YANG, Jing SUN, Cheng-sheng PAN, Qi-jie ZOU

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Identifying the Risky SNP of Osteoporosis with ID3-PEP Decision Tree Algorithm by Jincai Yang, Huichao Gu, Xingpeng Jiang, Qingyang Huang, Xiaohua Hu, Xianjun Shen

“…In order to solve the overfitting problem in ID3 decision tree algorithm, we then classified the SNPs with positive results based on their features of position and function through a simplified classification decision tree which was constructed by ID3 decision tree algorithm with PEP (Pessimistic-Error Pruning). …”
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CAD Fractal Art Pattern Design and Evaluation Based on RBF Network Algorithm by Lina Liu, Danjun Zhu

“…In order to effectively solve the problems of unreasonable design and low evaluation level in the process of fractal art pattern design and evaluation, a CAD fractal art pattern design and evaluation is proposed based on RBF network algorithm. Through the corresponding sequence sorting of RBF network algorithm, the image surface with the same CAD fractal art pattern design and evaluation attributes is divided into two parts. …”
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Data transmission algorithm of vehicle Ad Hoc network based on channel switching by Tiaojuan REN, Jinhao WAN, Yourong CHEN, Siyi LU, Banteng LIU

“…A data transmission algorithm of vehicle Ad Hoc network based on channel switching (DTA) was proposed.In the DTA,three network layers were considered,such as vehicle nodes,relay nodes and sink nodes.The vehicle nodes were classified by the information of vehicle’s driving direction.The vehicle nodes channel distribution and switching mechanism was proposed to reduce the interference of communication.Then a rapid transmission of relay nodes was proposed.A priority transmission method for emergency information was proposed to classify data with different queues and send data as their queues’ priority.Simulation results show that DTA can effectively achieve the rapid transmission of useful information,reduce unnecessary losses of energy,improve the data received rate of sink nodes,reduce the average hop number of data packets and improve coverage rate of data transmission.Under certain conditions,DTA is better than AODV and AODV-L algorithm,and is more suitable for vehicle driving environment of rapid change.…”
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Wearable Power Assistant Robot Sensor Signal Prediction Algorithm and Controller Design by Gang Li, Guoheng Ren

“…In order to realize the sensor signal prediction algorithm, we design the corresponding software and hardware system to realize the prediction algorithm. …”
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