Optimization mechanism of attack and defense strategy in honeypot game with evidence for deception by Lihua SONG, Yangyang JIANG, Changyou XING, Guomin ZHANG

“…Using game theory to optimize honeypot behavior is an important method in improving defender’s trapping ability.Existing work tends to use over simplified action spaces and consider isolated game stages.A game model named HoneyED with expanded action spaces and covering comprehensively the whole interaction process between a honeypot and its adversary was proposed.The model was focused on the change in the attacker’s beliefs about its opponent’s real identity.A pure-strategy-equilibrium involving belief was established for the model by theoretical analysis.Then, based on the idea of deep counterfactual regret minimization (Deep-CFR), an optimization algorithm was designed to find an approximate hybrid-strategy-equilibrium.Agents for both sides following hybrid strategies from the approximate equilibrium were obtained.Theoretical and experimental results show that the attacker should quit the game when its belief reaches a certain threshold for maximizing its payoff.But the defender’s strategy is able to maximize the honeypot’s profit by reducing the attacker’s belief to extend its stay as long as possible and by selecting the most suitable response to attackers with different deception recognition abilities.…”
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Aeroelastic Optimization Design for High-Aspect-Ratio Wings with Large Deformation by Changchuan Xie, Yang Meng, Fei Wang, Zhiqiang Wan

“…Different criterion values are selected and studied for judging the effects of the simplified method on the computing time and the accuracy of results. …”
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Topology Optimization of Passive Constrained Layer Damping with Partial Coverage on Plate by Weiguang Zheng, Yingfeng Lei, Shande Li, Qibai Huang

“…Then, the method of moving asymptote (MMA) is employed as an optimizer to search the optimal topologies of PCLD patch on plates. …”
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Knowledge-Based Shape Optimization of Morphing Wing for More Efficient Aircraft by Alessandro De Gaspari, Sergio Ricci

“…An optimization procedure for the shape design of morphing aircraft is presented. …”
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Reinforcement Learning Based Quantum Circuit Optimization via ZX-Calculus by Jordi Riu, Jan Nogué, Gerard Vilaplana, Artur Garcia-Saez, Marta P. Estarellas

“…We propose a novel Reinforcement Learning (RL) method for optimizing quantum circuits using graph-theoretic simplification rules of ZX-diagrams. …”
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Optimizing the Electrode Geometry of an In-Plane Unimorph Piezoelectric Microactuator for Maximum Deflection by Parker Megginson, Jason Clark, Ryan Clarson

“…After validating the finite element modeling method against experimental data, the geometric parameters of the proposed unimorph model are manipulated to explore the effect of different electrode geometries and layer thicknesses on actuation efficiency. …”
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Coil Offset Based Wireless Power Transfer System Parameter Optimization by Xiaojuan CHEN, Min JIA, Mingchen LI

“…The parameters optimization is carried out using the firefly algorithm, and finally the effectiveness of the method is verified through a finite element simulation and experimental platform. …”
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The potential of shading to optimize the performance ratio of a solar power system by Muhammad Dihyah Marwan, Suhono Suhono, Lukman Subekti

“…The result of optimization illustrated that the PR yearly levels for Designs-1 and 2, were 0.821 and 0.759, respectively. …”
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Evaluation of Cleaning Methods for Lithium Disilicate Ceramic Post Try-In Paste Application: An SEM Analysis by Gildo Coelho Santos Junior, Maria Jacinta Moraes Coelho Santos

“…This in vitro study assessed the efficacy of three cleaning methods on lithium disilicate ceramic after the application of different try-in pastes through SEM analysis. …”
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Optimization of Deep Neural Networks Using a Micro Genetic Algorithm by Ricardo Landa, David Tovias-Alanis, Gregorio Toscano

“…This work proposes the use of a micro genetic algorithm to optimize the architecture of fully connected layers in convolutional neural networks, with the aim of reducing model complexity without sacrificing performance. …”
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Development and optimization of levofloxacin in-situ emulgel to manage ocular bacterial infections by Sahirul ISLAM, Yashwant GIRI, Gurudutta PATTNAIK

“…Several in-situ emulgels with different gelling agents were prepared by the fusion method followed by stirring with a magnetic stirrer. …”
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Reinforcement learning for process Mining: Business process optimization with avoiding bottlenecks by Ghada Soliman, Kareem Mostafa, Omar Younis

“…The activity of manually identifying the optimal sequence of transitions for process mining is challenging due to several difficulties, including the high complexity of business processes that may involve numerous activities and decision points, and the significant effort required to collect and analyze the necessary data, ex1plore different transition possibilities, and evaluate their impact on process performance. …”
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Data-Driven Optimization of CNC Manufacturing Using Simulation and DOE Techniques by Vijay Sevella, Ahad Ali, Abdelhakim Abdelhadi, Ahmad Alkhaleefah

“…The results demonstrate how well simulation can represent and resolve inefficiencies in intricate industrial systems. Manufacturers may optimize manufacturing processes without interfering with ongoing operations thanks to this method, which encourages educated decision-making.…”
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Optimization and Experimental Testing of the Drag Torque Model Based on the Cavitation Effect by Li Jie, Lian Hailong, Lan Hai, Wang Zhiyong

“…In order to realize the accurate prediction of the drag torque of the flow field with the complex trench structure, a method is proposed to optimize the drag torque model by predicting the volume fraction of the cavitation effect through the cavitation number aiming for the prediction error caused by the air entering the flow field in advance. …”
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Collaborative Mining Sequence Optimization for Multiple Stopes under Intensive Mining by Long Zhang, Jianhua Hu, Xinzhong Wang, Xiuwei Chai, Lei Zhao

“…These results provide a general method for entropy-based mining sequence optimization and an optimal solution for the Tiaoshuihe phosphate mine.…”
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Collaborative Learning Groupings Incorporating Deep Knowledge Tracing Optimization Strategies by Haojun Li, Yaohan Chen, Weixia Liao, Xuhui Wang

“…Firstly, the optimized deep knowledge tracking (DKVMN-EKC) model is used to model the knowledge state of learners to obtain the degree of knowledge mastery of learners, and then the <i>K</i>-means method is used to similarly cluster all learners, and finally, the learners of different clusters are assigned to suitable learning groups according to the principle of heterogeneity of grouping. …”
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Combination treatment optimization using a pan-cancer pathway model. by Robin Schmucker, Gabriele Farina, James Faeder, Fabian Fröhlich, Ali Sinan Saglam, Tuomas Sandholm

“…We also show how our method can be used to optimize the drug combinations used in sequential treatment plans-that is, optimized sequences of potentially different drug combinations-providing additional benefits. …”
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Assessing the Impact of Grazing and Restoration Methods on Pannonian Grasslands by Szilárd Szentes, Andrea Kevi, Zsombor Wagenhoffer, Eszter Saláta-Falusi, Ferenc Pajor, József Berke, Ildikó Turcsányi-Járdi, Péter Penksza, Viola Kunos, Zoltán Kende, Károly Penksza

“…Our study examined the impact of grazing by Hungarian Grey cattle on plant communities in grasslands restored and established through different methods. The grasslands were established and restored in 2009 using five methods: (I) naturally regenerating fallow, (II) hay-mulch addition, (III) seeded grassland following soil preparation, (IV) grazing on abandoned alfalfa fields, and (V) overseeded fallow initiated in 1989. …”
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Optimization of Fuel Injection Control System of Two-Stroke Aeroengine of UAV by Yixuan Wang, Yan Shi, Maolin Cai, Weiqing Xu, Jian Zhang, Wei Zhong, Na Wang

“…Firstly, the one-dimensional thermodynamic model is built according to the internal structure and thermodynamic process of the engine; then, the model parameters are corrected according to the operating principle of the injector; after experimental verification of the model, considering both the engine power sufficiency and fuel economy, Analytic Hierarchy Process method is applied to look for the optimal injection amount and fuel injection advance angle at different engine working speeds; finally, an aeroengine experiment station with an electronic fuel injector system is built. …”
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Optimized Allocation of Flood Control Emergency Materials Based on Loss Quantification by Wei Wang, Yunqing Wang, Li Huang, Yue Song

“…The TOPSIS method was subsequently used to screen and determine the optimal allocation scheme to rationally determine the reserve sizes of different categories of flood control emergency materials in each warehouse. …”
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