Development of algorithm for calculation of operation and repair efficiency of a plate heat exchanger by S. M. Chekardovsky, K. N. Ilyukhin, A. A. Melekhin, M. N. Chekardovsky

Subjects: “…algorithm…”
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Deep Learning Algorithm Analysis of Potato Disease Classification for System on Chip Implementation by John Adebisi, Sesham Srinu, Varqa Mitonga

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A Phoenix++ Based New Genetic Algorithm Involving Mechanism of Simulated Annealing by Luokai Hu, Jin Liu, Chao Liang, Fuchuan Ni, Hang Chen

“…Genetic algorithm is easy to fall into local optimal solution. …”
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Research on multi-AP joint transmission scheme based on improved genetic algorithm by Man LIU, Xuming FANG

“…In order to solve the problem that overlapping basic service set (OBSS) users are subject to serious co-frequency interference in the dense Wi-Fi network, resulting in low signal to interference plus noise ratio (SINR) of received signals, low data transmission rate or inability to transmit, a multi-access point (AP) joint transmission (JT) scheme based on improved genetic algorithm (IGA) selection of AP coordination set was proposed.Firstly, the SINR threshold method was used to divide all station (STA) in the system into central users and edge users, and the JT scheme was adopted for edge users.Then, with the goal of maximizing the throughput of edge users, IGA was proposed to determine the appropriate coordinated AP for each edge user to form its own AP coordination set, and maximize the potential gain of JT technology.The simulation results show that the proposed scheme can effectively reduce the co-frequency interference between BSS and improve the performance and throughput of BSS edge users in dense network.…”
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Large Scale LEO Satellite Internet Routing Algorithm Based on Load Balancing by Yijie WANG, Wei ZHAO, Fei CHENG, Wen CHEN, Anjie CAO

“…The expanding market demand has set off an upsurge of large-scale LEO constellation deployment.With the characteristics of large bandwidth, low delay and continuous coverage, it provides broadband internet services for users all over the world.Aiming at the problem of congestion and packet loss caused by uneven network load, an adaptive large-scale LEO inter satellite routing algorithm based on load balancing was proposed.The algorithm divided the direction and level of candidate satellites according to the information obtained from small area detection, calculated the weight value according to diff erent partition results, and selected the next hop node with the highest level and the lowest weight value, carry out the same steps hop by hop until the data reaches the destination satellite node, fi nally formed a low delay path to realized low packet loss rate data transmission in the whole network.Through the simulation experiment, compared with the classical algorithm and the existing large-scale LEO satellite routing algorithm, the routing algorithm could eff ectively improved the routing performance of LEO large-scale satellite communication network and provided high-quality services for users.…”
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A new classification algorithm for low concentration slurry based on machine vision by Chuanzhen Wang, Xinyi Wang, Andile Khumalo, Fengcheng Jiang, Jintao Lv

“…Subsequently, a new low concentration classification model was systematically developed, encompassing aspects such as original image acquisition, data augmentation, dataset partitioning, classification algorithm design, and model evaluation. DCGAN was employed for image generation, achieving favorable outcomes with generator learning rate set at 5 × 10− 5, discriminator at 1 × 10− 6, and iteration number at 2000. …”
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MOADA-SVR:a multivariate online anomaly detection algorithm based on SVR by QIAN Ye-kui1, CHEN Ming1

“…Network anomaly detection is critical to guarantee stabilized and effective network operation.Although PCA-based network-wide anomaly detection algorithm has good detection performance,it cannot satisfy demands of online detection.In order to solve the problem,after traffic matrix model was introduced,a normality model of traffic was constructed using SVR and the sparsification of support vector solutions.Based on these,a multivariate online anomaly detection algorithm based on SVR named MOADA-SVR was proposed.Theoretic analysis showed that MOADA-SVR had lower storage and less computing overhead compared with PCA.Analysis for traffic matrix datasets Internet showed that MOADA-SVR had also good detection performance,approximating PCA.…”
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Des-q: a quantum algorithm to provably speedup retraining of decision trees by Niraj Kumar, Romina Yalovetzky, Changhao Li, Pierre Minssen, Marco Pistoia

“…In this work, we introduce Des-q, a novel quantum algorithm to construct and retrain decision trees for regression and binary classification tasks. …”
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Highly reliable access algorithm for PD-NOMA based IoT with delay guarantee by Chaonong XU, Jianxiong WU, Yongjun XU

“…A single-hop PD-NOMA network supporting k-successive interference cancellation (k-SIC) was considered.Given the real-time performance requirements,how to maximize the average reliability of uplink transmissions by the joint users grouping and power allocation was studied.A heuristic algorithm with complexity of O(nlogn) was presented,where n was the number of users.The algorithm was also proved to be the optimal if k=2.The performance evaluations reveal that the transmission reliability will increase exponentially with the linear degradation of the real-time performance guarantee.Besides,the transmission reliability is enhanced with respect to the random users grouping algorithm.…”
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A Novel Conflict Deduction Algorithm Based on Contradiction Separation Inference Rule by Hailin Guo, Feng Cao, Jianbing Yi, Guanfeng Wu, Weicai Li

“…CSCD and conflict resolution are analyzed in detail, then how to create a practical CSCD algorithm and its implementation is summarized. We tested the CSCD algorithm to solve the CASC-26 problems and also applied it to the current leading ATP system (Eprover). …”
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Research on Recommendation Algorithm of Joint Light Graph Convolution Network and DropEdge by Haicheng Qu, Jiangtao Guo, Yanji Jiang

“…To mitigate these issues in a deep neural network-based recommendation algorithm, we propose a recommendation algorithm, LG-DropEdge, joint light graph convolutional network, and the DropEdge. …”
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CAPNet: An Enhanced Load Balancing Clustering Algorithm for Prolonging Network Lifetime in WSNs by Mucheol Kim, Sunhong Kim, Jiwan Seo, Kiseok Choi, Sangyong Han

“…This paper proposes an energy-efficient clustering algorithm that extends the lifetime of sensor networks. …”
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An Online Map Matching Algorithm Based on Second-Order Hidden Markov Model by Xiao Fu, Jiaxu Zhang, Yue Zhang

“…Case study results show that the accuracy of the proposed algorithm outperforms the baseline algorithm built on the first-order HMM in various testing experiments.…”
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Information hiding algorithm based on mapping and structure data of 3D model by Shuai REN, Zhen WANG, Dongxu SU, Tao ZHANG, Dejun MU

“…The existing 3D information hiding schemes are not robust enough against the joint attacks,as a result the secret information will be vulnerable and cannot be extracted correctly.In order to solve the above problem,an information hiding algorithm based on mapping and structure data of 3D models was proposed.First,several texture maps of the original 3D models in .stl format were picked from the standard model library,so the backup secret data after twice two-dimension discrete Daubechies transform can be embedded using dbl function just as the watermark.Secondly,the original 3D model in .stl format was operated by frame sampling in wavelet domain to obtain the coefficient in transform domain,thus the secret data was embedded into the corresponding transform coefficient.Finally,the .obj documents with the secret information were generated by multiplying the 2D texture map data and the 3D .stl data matrix based on orthogonal projection.Texture maps and coordinate space of 3D model were both used to embed the secret information repeatedly in order to enhance the robustness.The experiment analysis indicated that the imperceptibility,robustness and resistance against analysis are improved and information transmission safety in complex environment can be achieved based on the redundancy space of multi-type carriers.…”
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An effective algorithm to identify the miscibility gap in a binary substitutional solution phase by Fu T., Du Y., Zheng Z.-S., Peng Y.-B., Jin B., Liu Y.-B, Du C.-F., Liu S.-H., Shi C.-Y., Wang J.

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Research on FTTR WLAN indoor wireless location algorithm based on frequency response by Zhifeng LONG, Jing ZHANG

“…Highly accurate and reliable indoor wireless positioning services have been widely used.In order to obtain good positioning accuracy, the design of positioning algorithms needs to be matched with wireless positioning facilities.fiber to the room (FTTR) is an indoor access network solution based on IEEE 802.11 ax, a new generation of wireless local area network (WLAN) standard.Compared with the existing Wi-Fi networks, FTTR has a much larger available band width.However, FTTR WLAN also lacks of a public valid data set to support localization functions, which makes the localization research based on FTTR scenarios face huge obstacles.In order to solve the above problems, firstly, a frequency response-based FTTR scene dataset generation method was proposed, which uses the existing Wi-Fi localization dataset to generate the frequency response matrix within the available band width of FTTR.Then, the parallel path principal component analysis (PCA) method was used to generate the classification matrix.And the generated dataset was trained using a fully connected neural network to improve the accuracy.The experimental results on the real measurement dataset show that the proposed localization algorithm can achieve a localization accuracy of less than 1 m, which is not only more accurate than the traditional location estimation algorithm, but also basically meets the fine-grained localization requirements for practical applications.…”
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ESPGD Algorithm to Improve the Convergence Speed for Adaptive Single-Mode Fiber Coupling by Jinjin Peng, Bo Qi, Yun Zhang, ZhenChuang Li, Yao Mao

Subjects: “…estimation-based stochastic parallel gradient descent (ESPGD) algorithm…”
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Feature selection algorithm based on improved particle swarm joint taboo search by Zhen ZHANG, Peng WEI, Yufeng LI, Julong LAN, Ping XU, Bo CHEN

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A Fusion Rule-Based Adaptive Clustering Cooperative Spectrum Sensing Algorithm by Gongan Qiu, Sen Feng

“…A fusion rule-based adaptive clustering cooperative spectrum sensing algorithm was proposed for meeting the dynamic wireless channe1. …”
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Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm by Hyunseok Kim, Seongju Chang, Jinsul Kim

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