Multiple-Model Cardinality Balanced Multitarget Multi-Bernoulli Filter for Tracking Maneuvering Targets by Xianghui Yuan, Feng Lian, Chongzhao Han

“…By integrating the cardinality balanced multitarget multi-Bernoulli (CBMeMBer) filter with the interacting multiple models (IMM) algorithm, an MM-CBMeMBer filter is proposed in this paper for tracking multiple maneuvering targets in clutter. …”
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Modeling and Simulation of Complex Network Attributes on Coordinating Large Multiagent System by Yang Xu, Xiang Li, Ming Liu

“…We have theoretically analyzed that the characters of complex network make a significant difference with both random and intelligent coordination strategies, which may contribute to future multiagent algorithm design.…”
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Investigation into effective mechanical properties of porous material produced by the additive manufacturing method by Seyed Mohammad Javad Tabatabaee, Mahdi Fakoor

“…Additive manufacturing techniques offer opportunities to create complex structures, and in this paper, we investigate the effective mechanical properties of porous material produced by the Fused Displacement Modeling (FDM) technique. We also propose an algorithm for generating a porous body containing irregularly shaped holes with arbitrary distributions in size and location while maintaining specific porosity. …”
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A stochastic artificial neural network model for investigating street vendor behavior in a night market by Pao-Kuan Wu, Tsung-Chih Hsiao, Ming Xiao

“…The artificial neural network model, which is renowned for its pattern classification abilities, is a type of deterministic algorithm. However, combining artificial neural network with Bayesian probability can convert the deterministic artificial neural network model into a stochastic artificial neural network model that is useful for conducting dynamic simulations. …”
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Satisfaction-Based Multiobjective Optimization of the Design of a 65 GHz Millimeter-Wave Connector by Xiang Li, Lijun Tong, Zheng Kong, Wenju Lu, Qian Xie

“…The model is optimized by innovatively using the multiobjective chaotic optimization algorithm in microwave finite-element simulations. …”
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The Holling Type II Population Model Subjected to Rapid Random Attacks of Predator by Jevgeņijs Carkovs, Jolanta Goldšteine, Kārlis Šadurskis

“…We propose a stochastic approximation algorithm for quantitative analysis of the above model based on the probabilistic limit theorem. …”
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Application of deep residual networks to predict the effective properties of fiber-reinforced composites with voids by Mahdi Karimian, Seyed Ali Hosseini Kordkheili

“…In order to generate mechanical properties and image data for learning, appropriate RVEs together with periodic boundary conditions are used in FEMs. Using a random algorithm in RVEs, voids and fiber with different diameters are generated; the resulted composites consist of void and fiber volume fractions in the range of 0.00–0.03 and 0.40–0.65, respectively. …”
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Multicooperation of Turtle-inspired amphibious spherical robots by Liang Zheng, Yuke Ma, Hui Yu, You Tang

“…First, a novel underwater kinematic model using the unit quaternion (UQ) algorithm is proposed based on attitude interpolation to realize MDOF movement. …”
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Performance analysis of 60 GHz pulse multiuser communication system based on cross-layer strategy by Xuehua LI, Chen SHEN, Yuanyuan YAO

“…Due to the advantages of license-free,strong directionality,high system capacity,and high transmission rate of Gbit/s,60 GHz band is listed as one of the candidate bands for new radios (new radio).In 5G ultra-dense networking scenario,the randomness of node switching caused by the decrease of the distance between network nodes may cause severe multiple access interference and resource mismatch problems.In this regard,based on the concept of cross-layer collaborative design,a resource scheduling strategy based on fairness was proposed.The multiple access performance of the strategy was simulated in a 60 GHz pulsed wireless communication system based on TH-PAM (time hopping pulse amplitude modulation).Simulation results show that compared with the system with pure physical layer optimization algorithm,the multiple access system which adopts this strategy shows stronger fairness and lower system error rate,but it needs increase the transmission power to meet the requirements of the coverage of the equivalent communication system.That is,there is a certain trade-off between the energy and fairness of the system,which can be used to guide the structure and deployment of the actual communication system.…”
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Research on HMM based link prediction method in heterogeneous network by Rong QIAN, Jianting XU, Kejun ZHANG, Hongyu DONG, Fangyuan XING

“…In order to solve the problem that incomplete mining of structural information and semantic information in heterogeneous networks, a link prediction method combining meta-path-based analysis and hidden Markov model was proposed for link prediction of heterogeneous network.Considering that clustering could effectively capture the structural information of heterogeneous network, the k-means algorithm was improved to obtain the initial clustering center method based on the minimum distance mean square error, and it was applied to the hidden Markov model, first-order cluster hidden markov model (C-HMM⁽¹⁾) link prediction method, and a link prediction method for heterogeneous network with second-order cluster hidden Markov model (C-HMM⁽²⁾) were designed.Further, considering the feature information of the data, a link prediction method called ME-HMM that combined the maximum entropy model and the second-order Markov model was proposed.The experimental results show that the ME-HMM has higher link prediction accuracy than the C-HMM, and the ME-HMM method has better performance than the C-HMM method because it fully considers the feature information of the data.…”
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Machine learning-based characteristic identification of MSG content in gravy foods by Rosyady Phisca Aditya, Habibah Nurina Umy, Masita, Yudhana Anton

“…This research determines the identification of MSG using the Machine Learning method Naive Bayes classifier algorithm in Python software. This tool determines the identification of MSG dissolved in water using a Photodioda sensor, push button, RGB LED, Arduino Nano and Resistor. …”
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Adjusting U-Net for the aortic abdominal aneurysm CT segmentation case by R.U. Epifanov, N.A. Nikitin, A.A. Rabtsun, L.N. Kurdyukov, A.A. Karpenko, R.I. Mullyadzhanov

“…We explored different augmentation styles and showed the importance of applying intensity augmentation style to improve segmentation algorithm robustness in conditions of clinical data diversity. …”
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AoI-oriented low-energy-consumption information collection and transmission scheduling mechanism for emergency UAV networks by Yuming ZHANG, Lianming XU, Siyuan YIN, Linrun JIANG, Li WANG, Aiguo FEI

“…To address the information collection and aggregation issue in emergency scenarios characterized by the lack of public infrastructure and unstable satellite signals, an information timeliness-oriented information collection and transmission scheduling mechanism was proposed for emergency unmanned aerial vehicle (UAV) networks where information collection and transmission capabilities were constrained by energy consumption.Considering the age of information (AoI) as the metric and constraint of information timeliness, a stochastics optimization problem was constructed with the objective of minimizing UAV information collection and transmission energy consumption.By resorting to the Lyapunov optimization technique, virtual queues were established to impose information timeliness constraints on queue lengths, and the original problem was decoupled into two sub-problems, information collection and transmission scheduling, with the premise of ensuring system stability.Corresponding heuristic algorithms were proposed for each sub-problem.Simulation results demonstrate that the proposed algorithm outperforms conventional queue scheduling approaches in convergence rates and system energy consumption with guaranteed information timeliness.…”
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Multiagent Systems as an Approach to Building Fuzzy voter Communities using fuzzy languages by Milambu Belangany, Pierre Kasengadia Motumbe, Eugène Mbuyi Mukendi

“…The study introduces an algorithm to detect communities by creating links between fuzzy voters, ultimately forming groups based on their linguistic similarities. …”
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PREDICTION AND OPTIMIZATION ANALYSIS OF DURABILITY PERFORMANCE OF AUTOMOTIVE CLOSURES by GUO PengBo, LIU Zhe, LI Hui, GAO DaWei

“…Aiming at the fatigue failure problem of a car door opening and closing process.The Hypermesh was used to construct a finite element model of door opening and closing,and then Ls⁃Dyna,an explicit dynamics solver,was used to establish a nonlinear transient dynamics model of door opening and closing.The d3plot file containing the stress⁃time history solved by the nonlinear transient analysis was imported into nCode DesignLife to build the fatigue analysis module,and the results were verified with 100000 times of door opening and closing durability tests,and the conclusions show that both of them have good consistency in terms of the damage location and the damage degree.Finally,multi⁃particle swarm optimization(MPSO)was used to optimize the door with the objectives of door lightweight and minimum damage,and the optimal solution was selected according to the engineering reality,which reduced the mass of the door assembly by 0.17 kg,and the damage value of the door was reduced by about 24.33%.The optimization results show that the MPSO algorithm can be effectively applied to the multi⁃objective optimization design of the door,which provides certain ideas for the design and development of the subsequent door.…”
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A Vibration Signal-Based Active Noise Control Method for Liquid-Filled Pipelines by Yunhao Wang, Qichao Liu, Wenjing Yu, Guo Cheng

“…In this paper, we propose an active noise control method utilizing signals acquired by accelerometers, which adopts offline modeling of the secondary path and the notch narrowband FxLMS algorithm for controlling the secondary source actuation. …”
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FPGA multi-unit parallel optimization and implementation of post-quantum cryptography CRYSTALS-Kyber by Bin LI, Xiaojie CHEN, Feng FENG, Qinglei ZHOU

“…In lattice-based post-quantum cryptography, polynomial multiplication is complicated and time-consuming.In order to improve the computational efficiency of lattice cryptography in practical applications, an FPGA multi-unit parallel optimization and implementation of post-quantum cryptography CRYSTALS-Kyber was proposed.Firstly, the flow of Kyber algorithm was described and the execution of NTT, INTT and CWM were analyzed.Secondly, the overall structure of FPGA was given, the butterfly arithmetic unit was designed by pipeline technology, and the Barrett modulus reduction and CWM scheduling optimization were used to improve the calculation efficiency.At the same time, 32 butterfly arithmetic units were executed in parallel, which shortens the overall calculation cycle.Finally, the multi-RAM channel was optimized to improve the memory access efficiency with alternate data access control and RAM resource reuse.In addition, with the loosely coupled architecture, the overall operation scheduling was realized by DMA communication.The experimental results and analysis show that the proposed scheme implemented can complete NTT, INTT and CWM operations within 44, 49, and 163 clock cycles, which is superior to other schemes and has high energy efficiency ratio.…”
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Single‐stage AC–DC voltage regulator for 15 W wireless charging by X. Bai, Z. Kong, L. Siek

“…Unlike the traditional two‐stage AC–DC regulator, a pulse‐width modulation control algorithm is integrated to switch the working mode of an active rectifier between a charging mode and a zero mode to maintain the output voltage at 5 V. …”
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Reduction of FDTD Stair-Casing Error regarding to Metamaterials by Using High-Order Polynomial Transformation Functions by Ki-Woong Bae, Dong-Wook Seo, Noh-Hoon Myung

“…Since similar materials are filled in boundary cells of the finite-difference time-domain (FDTD) algorithm, the stair-casing error was reduced and the tolerance against boundary abrasion was increased. …”
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A New Aerodynamic Optimization Method with the Consideration of Dynamic Stability by Mi Baigang, Wang Xiangyu

“…Then, combined with the PSO (particle swarm optimization) algorithm, a dynamic stability derivative that must not be decreased is added to the constraints of optimization and the lift-drag ratio is chosen as the optimization objective. …”
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