Performance analysis of covert wireless communication based on beam forming with noise uncertainty by Yuda LIN, Liang JIN, You ZHOU, Yangming LOU

“…In order to establish covert wireless communication in Rayleigh fading environment with noise uncertainty,a scheme of downlink covert wireless communication based on complex Gaussian random coding and beam forming was adopted,and more importantly,the performance of covert wireless communication was analysed.Firstly,the covert probability of communication was analyzed by using the hypothesis test theory.Secondly,the optimal detection threshold of the illegal detection party was given and proved,and the closed expressions of the average covert probability,connection interruption probability and covert throughput of the system were further obtained.Finally,by jointly designing the transmission power and target covert rate,the optimal goal of the maximum covert throughput of the system was achieved,and the corresponding algorithm based on step search was given.The simulation results show that the beam forming technology could provide some gain for covert wireless communication.Compared with the ideal case in which the legitimate receiver is not affected by the noise uncertainty,the covert throughput in non-ideal case is significantly reduced and almost not affected by the basic noise level of the environment.…”
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Modification of Haessler’s sequential heuristic procedure for the one-dimensional cutting stock problem with setup cost by Mateus Martin, Antonio Moretti, Marcia Gomes-Ruggiero, Luiz Salles Neto

“…Main findings In the computational experiments, we demonstrate the effectiveness of the algorithm with two sets of benchmark instances by comparing it with other approaches, and obtaining better solutions for some scenarios. …”
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Effects of Reliability Index on Optimal Configuration of Hybrid Solar/Battery Energy System by Optimization Approach: A Case Study by Hao Liu, Baojia Wu, Akbar Maleki, Fathollah Pourfayaz, Roghayeh Ghasempour

“…The objective of the current work is to the optimal configuration of a stand-alone hybrid photovoltaic/battery energy storage system with the help of an efficient metaheuristic algorithm, improved harmony search, to supply electrical of a residential load in Iran. …”
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Covariance Matrix Reconstruction for Direction Finding with Nested Arrays Using Iterative Reweighted Nuclear Norm Minimization by Weijie Tan, Xi’an Feng

“…Moreover, results indicate that the proposed method has more accurate DoA estimation in the nonuniform noise and off-grid cases compared with the state-of-the-art DoA estimation algorithm.…”
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Target Torque Control of Two-speed DCT Clutch based on GA-LQR by Zhang Zhigang, Chen Jinjing, Yao Lianhong, Zheng Yanjie

“…Regarded impact degree and the specific sliding friction work as evaluation indictor， and taking the impact degree and the sliding work as quadratic target functions， the Linear Quadratic Regulator (LQR) method is used to determine the clutch target torque of the torque phase of the shifting process. The global search ability of the genetic algorithm (GA) is used to optimally select the weighting matrix in the LQR. …”
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A Multi-Robot Collaborative Exploration Method Based on Deep Reinforcement Learning and Knowledge Distillation by Rui Wang, Ming Lyu, Jie Zhang

“…Multi-robot collaborative autonomous exploration in communication-constrained scenarios is essential in areas such as search and rescue. During the exploration process, the robot teams must minimize the occurrence of redundant scanning of the environment. …”
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Use of omic heating technology in the process of processing fruits and vegetables. Overview of the subject field by L. Ch. Burak, A. N. Sapach

“…To review the subject field of the study, an algorithm was used in accordance with the PRISMA protocol. …”
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Short-term PV power prediction based on meteorological similarity days and SSA-BiLSTM by Yikang Li, Wei Huang, Keying Lou, Xizheng Zhang, Qin Wan

“…The experiments were conducted with historical data from a PV power plant in Xinjiang, and also compared with existing prediction algorithms.The results show that the accuracy of PV power prediction in different weather conditions is 33.1 %, 31.9 % and 24.1 % higher than that under the same intelligent optimization algorithm and different neural networks, the accuracy of PV power prediction in different weather conditions is 27.9 %, 24.7 % and 18.0 % higher than that under the different intelligent algorithms and same neural network. …”
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Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

“…Results, evaluated on high-resolution remote sensing datasets, demonstrate the effectiveness of the proposed method, outperforming traditional algorithms with an average accuracy of 86.66%. The hybrid retrieval system exhibits substantial improvements in classification accuracy, similarity measurement, and computational efficiency compared to state-of-the-art scene classification and retrieval methods.…”
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Adapting Vision Transformer-Based Object Detection Model for Handwritten Text Line Segmentation Task by Osman Furkan KARAKUŞ, Ayla GULCU, Ali Can KARACA

“…For a diverse set of baselines methods, we have also implemented two learning-free algorithms such as A* Search Algorithm and the Genetic Algorithm (GA). …”
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INFECTION ASSOCIATED WITH THE IMPLANTATION OF CARDIOVASCULAR IMPLANTABLE ELECTRONIC DEVICES by L. I. Dvoretsky, R. M. Vakoluk, A. K. Kaptaeva, S. A. Doroshuk

“…The authors emphasize that in the course of diagnostic search, and later in the development of treatment tactics, it is necessary to follow the ESC Guidelines for the management of infective endocarditis in 2015.…”
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Multi-Objective Optimization of Parking Charging Strategy for Extended-Range Hybrid Electric Vehicle Based on MOMSA by Rong Yang, Jianxiang Lu, Zhiqi Sun, Wei Huang

“…This study addresses this gap by developing a novel parking charging strategy for E-RHEVs that leverages a temperature-dependent battery aging model and a Multi-Objective Mantis Search Algorithm (MOMSA)—a metaheuristic optimization algorithm designed to solve multi-objective problems by efficiently exploring trade-offs between conflicting objectives. …”
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PERFORMANCE ANALYSIS OF OPTIMIZATION METHODS FOR SOLVING TRAVELING SALESMAN PROBLEM by Chandra Agung, Natalia Christine

“…Methods used are Brute Force (BF) and Branch and Bound (B&B) algorithms which are categorized as exact methods are compared with Artificial Bee Colony (ABC), Tabu Search (TS) and Simulated Annealing (SA) algorithms which are categorized as approximate methods or known as a heuristics method. …”
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Energy Efficient Design for Two-Way AF Relay Networks by Yong Li, Zhengguang Zheng, Mingyue Zhao, Yunli Chen, Chuanyong Liu

“…We propose an optimal energy-efficient power allocation algorithm based on iterative search technique. In addition, a closed-form suboptimal solution is derived with reduced complexity and negligible performance degradation. …”
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Stowage Plan Based Slot Optimal Allocation in Rail-Water Container Terminal by Yanjing Li, Xiaoning Zhu, Li Wang, Xi Chen

“…To obtain an efficient and reasonable solution for slot allocation in rail-water container terminals, this paper develops storage optimal allocation model 1 to improve the yard space utilization, which is solved by a heuristic algorithm based on Tabu search. Model 2 is then built to reduce the relocation movements. …”
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Dynamic Key-Updating: Privacy-Preserving Authentication for RFID Systems by Li Lu, Jinsong Han, Lei Hu, Lionel M. Ni

“…By designing a novel key updating method, we achieve the forward secrecy in SPA with an efficient key search algorithm. We also show that, compared with existing designs, (SPA) is able to effectively defend against both passive and active attacks, including compromising attacks. …”
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A Robust Gaze Estimation Approach via Exploring Relevant Electrooculogram Features and Optimal Electrodes Placements by Zheng Zeng, Linkai Tao, Hangyu Zhu, Yunfeng Zhu, Long Meng, Jiahao Fan, Chen Chen, Wei Chen

“…Methods and procedures: To select the optimum channels and relevant features, and eliminate irrelevant information, a heuristical search algorithm (i.e., forward stepwise strategy) is applied. …”
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Optimizing the lifetime of wireless sensor networks via reinforcement-learning-based routing by Wenjing Guo, Cairong Yan, Ting Lu

“…Reinforcement-learning-based routing protocol takes advantage of the intelligent algorithm of reinforcement learning to search for the optimal routing path for data transmission. …”
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Accurate protein-ligand binding free energy estimation using QM/MM on multi-conformers predicted from classical mining minima by Farzad Molani, Art E. Cho

“…Using a differential evolution algorithm with a universal scaling factor of 0.2, we achieved a low mean absolute error of 0.60 kcal mol- 1. …”
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Joint source–channel rate allocation with unequal error protection for space image transmission by Dan Dong, Shaohua Wu, Dongqing Li, Jian Jiao, Chanjuan Ding, Qinyu Zhang

“…A joint rate allocation algorithm based on the packet loss rate is proposed. …”
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