A Time Modulated Printed Dipole Antenna Array for Beam Steering Application by Ruchi Gahley, Banani Basu

“…Differential Evolution algorithm is used to modify the time sequences of the RF switches connected to the antennas to generate radiation pattern with optimum dynamic efficiency by suppressing sideband radiations. …”
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Analytical Properties of Credibilistic Expectation Functions by Shuming Wang, Bo Wang, Junzo Watada

“…The expectation function of fuzzy variable is an important and widely used criterion in fuzzy optimization, and sound properties on the expectation function may help in model analysis and solution algorithm design for the fuzzy optimization problems. …”
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Nonlinear Extended Kalman Filter for Attitude Estimation of the Fixed-Wing UAV by Tang Xiaoqian, Zhao Feicheng, Tang Zhengbing, Wang Hongying

“…A novel attitude estimation algorithm is proposed in this study for the unmanned aerial vehicle (UAV). …”
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Features of Differential Diagnosis of Breast Implant Rupture and Breast Implant-Associated Anaplastic Large Cell Lymphoma by A. A. Nekrasov, N. P. Korableva, N. S. Romanenkov, A. G. Grigoryan, Ya. V. Cekhmistro

“…Such patients examining algorithm should include breast ultrasound, magnetic resonance imaging, puncture of the breast under sonographic navigation, cytological examination of the obtained fluid. …”
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Characterization of the Evolution of Nonlinear Uniform Cellular Automata in the Light of Deviant States by Pabitra Pal Choudhury, Sudhakar Sahoo, Mithun Chakraborty

“…The concept of deviant and nondeviant states is introduced, and hence an algorithm is proposed for deducing the State Transition Diagram of a nonlinear CA rule from that of its nearest linear rule. …”
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ANN Synthesis Model of Single-Feed Corner-Truncated Circularly Polarized Microstrip Antenna with an Air Gap for Wideband Applications by Zhongbao Wang, Shaojun Fang

“…Also, six learning algorithms are used to train the MLPs for comparison. …”
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The Inverse Problem of Identification of Hydrogen Permeability Model by Yury V. Zaika, Natalia I. Rodchenkova, Ekaterina K. Kostikova

“…The main final output of the article is a noise-resistant algorithm for solving the inverse problem of parametric identification for the aggregated experiment where desorption and diffusion are dynamically interrelated (without the artificial division of studies into the diffusion limited regime (DLR) and the surface limited regime (SLR)).…”
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Aggregatable Subvector Commitment with Efficient Updates by Qing Xu, Chenyang Gao, Yunling Wang

“…Additionally, we employ the Karatsuba algorithm to efficiently perform large-integer multiplication, which improves the aggregation and verification of proofs. …”
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Denoising of Mechanical Vibration Signals Using Quantum-Inspired Adaptive Wavelet Shrinkage by Yan-long Chen, Pei-lin Zhang, Bing Li, Ding-hai Wu

“…This quantum-inspired shrinkage algorithm combines three elements: an adaptive non-Gaussian statistical model of dual-tree complex wavelet transform (DTCWT) coefficients proposed to improve practicability of prior information, the quantum superposition introduced to describe the interscale dependencies of DTCWT coefficients, and the quantum-inspired probability of noise defined to shrink wavelet coefficients in a Bayesian framework. …”
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Mobile Internet of Things Dynamic Grid QoS Service Matching Mechanism and Simulation Analysis by Xuemei Fan

“…At the same time, the classic Max-Min algorithm in grid task scheduling is analysed, and on this basis, the impact of QoS on task scheduling is fully considered, and combined with the concept of execution cost, a grid task based on QoS constraints (MOS) is proposed. …”
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Studies on Pumice Lightweight Aggregate Concrete with Quarry Dust Using Mathematical Modeling Aid of ACO Techniques by J. Rex, B. Kameshwari

“…Here, the modeling is carried out with three different optimization techniques like genetic algorithm (GA), particle swarm optimization (PSO), and ant colony optimization (ACO) with 80% of data from experiment utilized for the training and the remaining 20% for the validation. …”
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Application of EMPE and KP-KELM in Fault Diagnosis of Planetary Gearbox by Bo Qin, Heng Yin, Zhuo Wang, Jianqiang Zhang, Zhijun Li, Jianguo Wang

“…Finally， using the EMPE eigenvector set as input， the planetary gear state identification model is constructed by the training of KP-KELM algorithm. The experiment results show that， compared with the fault classification model based on SVM and KELM， the EMPE and KP-KELM planetary gear fault diagnosis method has higher classification accuracy and stronger generalization ability.…”
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Used economy market insight: Sailboat industry pricing mechanism and regional effects. by Zhanni Huang, Hansheng Hu, Di Wu

“…Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data. …”
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INFLUENCING FACTOR ANALYSIS OF FATIGUE CRACK INITIATION LIFE ON CRANE LATTICE BOOM by CAI FuHai, YUAN WeiChen, WANG Xin, ZHAO FuLing, JIA XingJun

“…A crane fatigue crack initiation life evaluation algorithm model was built. According to the model,three main factors which will influence the initiation life calculation were analyzed and compared. …”
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Web Services Integration Strategy with Minimum Hops Constraint in Wireless Sensor Networks by Wen Ouyang, Min-Lang Chen

“…For the case when the relationships between the tasks are in linear order, a polynomial-time, optimal web service integration algorithm, using greedy strategy, is provided.…”
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Berth Allocation and Quay Crane Assignment Considering the Uncertain Maintenance Requirements by Siwei Li, Liying Song

“…To address this novel problem, we propose a proactive-reactive method that incorporates a reliability-based model into the Swarm Optimization with Differential Evolution (SWO-DE) algorithm. Computational results confirm the practical relevance and effectiveness of our proposed solution methods for container terminals.…”
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Opportunistic spectrum sharing protocol and optimal resource allocation based on OFDM cooperation relaying by Wei-dang LU, Xuan-li WU, Xue-jun SHA, Nai-tong ZHANG

“…An opportunistic spectrum sharing protocol based on OFDM cooperation relaying was proposed.When the primary user experiences weak channel conditions,it could not achieve its target rate.If the cognitive user could help the primary user achieve its target rate,it accessed the pectrum of the primary user in the cooperation way.In this access way,the cognitive user used a fraction of the subcarriers to amplify-and-forward the signal of the primary user,to help the primary user achieve its target rate.And uses the remained subcarriers to transmit its own signal.The resource allocation was analyzed in this cooperation way.An optimal resource allocation algorithm based on dual ethod was proposed,which maximized the rate of the cognitive user while g anteeing the primary user achieve its target rate.If the cognitive user could not help the primary user achieve its target rate,to make use the spectrum efficiently,the cognitive user accessed the spectrum of the primary user in the non-cooperation way,and uses the whole accessed spectrum to transmit its own signal.The simulation demonstrates the efficiency of the proposed spectrum sharing protocol as well as its benefit to both primary and cognitive user.…”
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Damage Simulation of a Random Aggregate Model Induced by Microwave under Different Discontinuous Ratios and Exposure Times by Yang Tang, Guobin Xu, Chunlai Qu, Liying Sun, Yu Duan

“…The results showed that this algorithm can simulate random irregular aggregate shapes. …”
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Matching and Optimization of Two-speed Electric Vehicle Transmission System based on Cruise and Isight by Jigao Niu, Zhaojun Wang, Pengbo Zhang, Yunlong Yang, Kai Zhang, Chunhua Xu

“…On the premise that the dynamic performance meets the design requirements， in order to further improve the economy， a joint simulation model of Cruise and Isight is built， and an improved non-dominated sorting genetic algorithm （NSGA-Ⅱ） is adopted to optimize the transmission ratio of the transmission system with multiple objectives to achieve the best solution for power and economy. …”
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Novel virtual satellite formation scheme for deterministic transmission by Chuan XU, Mi ZHOU, Guofeng ZHAO, Zhaojing CUI, Xiongwen HE

“…Although satellite formation flying could effectively support deterministic transmission due to its stable formation, but its formation control required significant real-time computational overhead and did not support flexible deployment for multi-missions.Thus, based on the extensively deployed low-earth orbit (LEO) constellations, a virtual satellite formation scheme was proposed, which achieved deterministic transmission of time-sensitive mission by selecting appropriate satellites to form a formation.Firstly, the concept of virtual satellite formation was elaborated, and the challenges and performance requirements of virtual satellite formation based on LEO constellations were analyzed.Then, by characterizing the survival time and distance variation rate of inter satellite links (ISL), formation node selection mode was constructed, and a virtual satellite formation selection algorithm was designed to meet the requirements of time-sensitive missions.Finally, satellite network scenario was built to verify the proposed scheme by STK and Exata.Experimental results show that the proposed scheme can provide the same performance indicators as satellite formation flying for time-sensitive missions, while offering more flexibility in deployment.…”
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