Risk assessment model based on fuzzy Petri nets by Xiang GAO, Yue-fei ZHU, Sheng-li LIU, Jin-long FEI, Long LIU

“…The concept of credibility was introduced, and the security risk assessment model and fuzzy reasoning algorithm based on fuzzy Petri net were also proposed, making use of fuzzy Petri nets method joined together with the AHP to analyze the question, and combining qualitative analysis and quantitative analysis together. …”
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Finite-Time Antisaturation Tracking Control for Hypersonic Vehicle with Uncertain Dynamics by Yuwei Cui, Yushan He, Aijun Li, Jun Li, Shuo Song

“…The minimum learning parameter algorithm based on a radial basis function is employed to approximate the unknown dynamics with low computational burden. …”
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Optimal Power Management via Dynamic Power Pools in DC MG Clusters by Makarand S. Ballal, Shivpal R. Verma, Sarvesh A. Wakode, Hiralal M. Suryawanshi

“…This paper introduces a methodology for managing and controlling microgrid (MG) clusters through the establishment of diverse power pools and optimizing resource allocation based on available generation. The proposed algorithm, incorporating equivalent droop control, facilitates integrated economic optimization by the MG cluster operator (MCO), considering market participation through generation and consumer bids. …”
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Approximate Solutions of Fisher's Type Equations with Variable Coefficients by A. H. Bhrawy, M. A. Alghamdi

“…Also the results demonstrate that the proposed method is powerful algorithm for solving the nonlinear partial differential equations.…”
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Dynamic fair allocation of multi-resources based on shared resource quantity by Xiao-lu ZHANG, Xi LIU, Wei-dong LI, Xue-jie ZHANG

“…Finally, theoretical analysis and experiments demonstrate that this strategy can satisfy the demands as well as maximize the dominant share on the base of approaching fairness and the im-proved algorithm increases the allocation efficiency in the dynamic system.…”
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Research on Collaborative Recommendation Method Based on Multiple Data Sources of Social Network by Ruiqin Wang, Jun Pan, Yixiao Li

“…Experimental results show that the proposed algorithm has significantly better precision and reca11 than existing methods.…”
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Assessment of crack growth development in main pipeline on the basis of elastoplastic model by К. А. Vansovich, I. P. Aistov, А. А. Nakhlestkin, D. S. Beseliya

“…ANSYS developed an algorithm for modeling crack growth taking into account residual stresses. …”
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Front-feedback-based two-stage switch architecture by SHEN Zhi-jun, ZENG Hua-shen, XIA Yu

“…To relax the time constraint of the FTSA（feedback-based two-stage switch architecture）,a new scheme called FFTS（front-feedback-based two-stage switch architecture） was proposed,which enabled the cell transmission to take place in parallel with the scheduling process with the adoption of putting the feedback operation before the cell transmission and thus extended the time space of the scheduling algorithm effectively.In addition,the FFTS used the double-cell-buffer mode and re-sequencing buffer to solve the consequent problem such as cell conflict and disordering.Simulation and analysis show that FFTS has a better delay performance compared with the other non-feedback two-stage switch architecture.…”
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Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows by S. Y. Park, C. Li, S. M. Mendoza Benavides, E. van Heugten, A. M. Staicu

“…The methodology accommodates flexible model structure, allows for joint estimation of the quantiles at all levels, and provides a computationally efficient estimation algorithm. Extensive numerical investigation confirms good performance of the proposed method. …”
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EXPERIENCE AND PROSPECTS OF MASTER’S DEGREE TRAINING OF ENGINEERING STAFF IN THE FIELD OF METALLURGICAL SCIENCE by V. M. Konstantinov

“…Need of domination of requirements of the production enterprise is highlighted in master preparation program. The algorithm of interaction of department and technical service of the production enterprise during training of the factory expert in the correspondence practical-focused Master’s degree program is offered.…”
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Driver Source-Based Traffic Control Approach for Mitigating Congestion in Freeway Bottlenecks by Minglun Li, Hu Yang, Bao Guo, Jianjun Dai, Pu Wang

“…Next, the differential evolution algorithm is employed to calculate the optimal control time at each traffic control on-ramp. …”
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CNN-Based Channel Estimation Method for OTFS System in Satellite-Ground Scenario by Cheng GUO, Le YU, Lidong ZHU

“…Orthogonal time frequency space (OTFS) is fully applied in high Doppler communication scenarios due to its good Doppler frequency bias and time delay adaptability.The channel estimation methods for OTFS systems have shortcomings such as high complexity and poor BER performance.A CNN-based channel estimation method for OTFS systems in the terrestrial-satellite scenario using a convolutional neural network (CNN) approach was proposed.Simulation results showed that the deep learning-based method outperformed the conventional method in terms of algorithm complexity and BER in the terrestrial-satellite scenario, thus demonstrating that deep learning is a promising tool for channel estimation in OTFS systems.…”
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Stochastic Inversion Method for Concrete Dams on the Basis of Bayesian Back Analysis Theory by Chongshi Gu, Xin Cao, Bo Xu

“…Fast Fourier transform algorithm is introduced to generate random fields for SFEM analysis. …”
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Analysis and Discussion on Group Mobility Model in Ubiquitous Network by Shuyuan Zhao, Jihong Zhao, Hua Qu

“…Research on group mobility models has an important effect on the design of communication protocols,the evaluation of algorithm performance and other issues in the ubiquitous network.In the ubiquitous network,a variety of terminals provide certain service for users at the same time,and how to integrate terminal capacity effectively need good group mobility model.The characteristics and suitable scenes of the various group mobility models for Ad Hoc network in the past were summarized,and taking the environment of multiple terminals and multiple networks working for the same goal into consideration,the implementation scheme of group mobility model in the scene of personal service was discussed based on the experience of users,the key technical requirements were also proposed.…”
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Fast and resource efficient method for indoor localization based on fingerprint with varied scales by Yanfen LE, Zhuo TANG, Cunbao SHENG, Weibin SHI

“…To improve the prediction speed in indoor localization,a novel algorithm based on fingerprint with varied scales was proposed.It divided the region of interest into distinct zones with distinctive coverage indicators,and reference positions with different distribution density were set in the region.According the time relevance and strength vary of the RSS from the anchors,the grids-matching process was greatly sped up for the usage of coverage indictors and the features of the location fingerprint extracted with the PCA,which made the proposed method fit the demand of application with limited power and memory.Experimental results indicate that accuracy of the positioning is ensured with the reduced energy-consuming,and more flexible about the number of anchors and the grid distribution.…”
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Research on system log anomaly detection based on deep learning by Yidong WANG, Peishun LIU, Gbin WAN

“…The system log reflects the running status of the system and records the activity information of specific events in the system.Therefore,the rapid and accurate detection of the system abnormal log is important to the security and stability of the system.A log anomaly detection algorithm based on GRU neural network is proposed.Log parsing is implemented based on log key technology.Log anomaly detection is realized by using anomaly detection model of execution path and anomaly detection model of parameter value.The system has the advantages of less parameters and faster training.It improves the running speed while achieving higher detection accuracy,and is suitable for log analysis of large information systems.…”
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Development of selective line detection method with single-phase earth fault for industrial 6–35 kV networks with isolated neutral with non-sinusoidal load by A. O. Paramzin

“…It is proposed to modernize the existing algorithm for relative measurement of the level of higher harmonics. …”
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Dynamic Combined Optimal Scheduling of Electric Energy and Natural Gas Energy Consumption in Data Center by Xuehui Liu, Guisheng Hou, Lei Yang

“…Then the particle swarm algorithm is used to simulate the schedule. The results show that using natural gas as supplementary energy supply can effectively reduce the overall energy consumption of data center in considering the service delay level of data center.…”
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Network status aware routing in content-centric network by Yue-ping CAI, Jun LIU

“…To improve the efficiency of content delivery and to reduce the network overhead of content centric network (CCN),a network status aware routing(NSAR)mechanism was proposed.NSAR utilized data packets from the content server nodes to collect network statuses.The forwarding probability of the matching ports of the nodes on the path would be updated according to the network statuses.The subsequent interest packet forwarding would be based on the updated forwarding probability.Therefore the content delivery efficiency would be improved.Simulation results show that NSAR can effectively reduce the average delay of content requests and the number of packets in network as well as the network bandwidth overhead compared with the traditional routing algorithm in CCN.…”
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Numerical Analysis of Unsaturated Soil Slopes under Rainfall Infiltration Based on the Modified Glasgow Coupled Model by Guoqing Cai, Mengzi Li, Bowen Han, Kenan Di, Qianqian Liu, Jian Li

“…Combined with Euler’s backward implicit integration algorithm, a numerical program was established for simulating the proposed model. …”
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