Land Use/Land Cover Change Impact on Hydrological Process in the Upper Baro Basin, Ethiopia by Tewodros Getu Engida, Tewodros Assefa Nigussie, Abreham Berta Aneseyee, John Barnabas

“…Curve number, an available water capacity of the soil layer, and soil evaporation composition factor were the most sensitive parameters identified for the streamflow. …”
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Optimization of high-dimensional expensive multi-objective problems using multi-mode radial basis functions by Jiangtao Shen, Xinjing Wang, Ruixuan He, Ye Tian, Wenxin Wang, Peng Wang, Zhiwen Wen

“…To improve the reliability, the proposed algorithm uses radial basis functions based on three modes to cooperate to provide the qualities and uncertainty information of candidate solutions. …”
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An Improved Nonmonotone Filter Trust Region Method for Equality Constrained Optimization by Zhong Jin

“…Motivated by the method of Su and Pu (2009), we present an improved nonmonotone filter trust region algorithm for solving nonlinear equality constrained optimization. …”
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Self-organized cyber physical power system blockchain architecture and protocol by Ting Yang, Feng Zhai, Jialin Liu, Meng Wang, Haibo Pen

“…The state parameters of electrical equipment and power system control parameters are the key data to realize the precise control and cooperative autonomy of a cyber physical power system. …”
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Nonlinear Sliding-Mode Super-Twisting Reaching Law for Unmanned Surface Vessel Formation Control Under Coupling Deception Attacks by Yifan Wang, Qiang Zhang, Yaping Zhu, Yancai Hu, Xin Hu

“…In this paper, a nonlinear sliding-mode super-twisting reaching law algorithm is designed to address the problem of coupling interference under deception attacks and actuator physical faults in USV formations during cooperative mining operations of a USVs-ROVs system. …”
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Research on data management technology of shearer based on protocol matching and data compression by Zhongbin WANG, Dong WEI, Lei SI, Chaoquan LIANG, Chao TAN, Yihui ZHAO

“…Next, the switching sensor data compression algorithm based on the same state word and the analog sensor data compression algorithm based on the variable length coding are designed to improve the compression ratio of the real-time data of the shearer and reduce the overhead of the data storage subsystem. …”
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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…In these diversified test scenarios, the improved TD3 algorithm exhibits remarkable adaptability and stability. …”
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Hardware-Based Calculation of Mean Square Error for Automatic Target Recognition in SAR Images by Lucas Urbanski, Gustavo Farhat Araujo, Renato Machado, Roberto D'Amore

“…This paper presents a circuit architecture aiming for FPGA synthesis of a processing stage of an Automatic Target Recognition (ATR) algorithm to classify non-cooperative targets in Synthetic Aperture Radar (SAR) images using the SAMPLE database. …”
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Scheduling Method of AGV in Spinning Workshop Based on Simulated Annealing Ant Colony Optimization by Jinglong Xiong, Yiping Yuan, Yongsheng Chao, Ming Li, Adilanmu Sitahong, Peiyin Mo

“…The simulation of actual data shows that when the number of cans is 60 , respectively compared with the traditional SA and ACO, the SAACO method reduces the total distance of AGV movement by 34.83 m and 24.13 m , the maximum completion time by 15 s and 13 s , the algorithm running time by 20% − 30%. This approach can reduce the operational costs of AGV in spinning workshops, enhance workshop efficiency, and provide a novel solution for the cooperative scheduling of AGV in such settings.…”
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Hybrid subnet-based node failure recovery formal procedure in wireless sensor and actor networks by Hamra Afzaal, Nazir Ahmad Zafar, Fahad Alhumaidan

“…The algorithm is hybrid as pre-failure planning and post-failure recovery is assumed for the critical nodes. …”
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Unbiased High-Precision Cloud Detection for Advanced Himawari Imager Using Automatic Machine Learning by Bochun Liu, Jinming Ge, Qingyu Mu, Chi Zhang, Xiaoyu Hu, Jiajing Du, Yanyan Wu, Bo Wang, Xiang Li, Jianping Huang, Qiang Fu

“…In addition, we provide a new perspective on model interpretability by incorporating concepts from cooperative game theory. Our results indicate that cloud detection algorithms constructed separately for different surfaces yield better results than those applied uniformly across the entire region by inputting surface feather. …”
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Assessing water clarity in the Chesapeake Bay using satellite-derived Secchi disk depth by Seunghyun Son, Nikolay P. Nezlin, Veronica P. Lance

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Joint estimation of interference frequency offset and time delay in PCMA system by Xue-juan WEI, Yong YANG, Yi-ming GUO, Dong-ling ZHANG

“…For cooperative received high-order modulation PCMA (paired carrier multiple access) signals,joint estima-tion of frequency offset and time delay was proposed.The sequence samples stored locally were used as auxiliary data.Estimation of frequency offset and time delay was calculated by optimizing the objective function,which was obtained from the cross-correlation computation of the auxiliary data and mixed signal,and the optimized process was accom-plished by utilizing two-dimensional search.By setting the threshold of joint estimation,the calculated amount was greatly reduced.Modified Cramer-Rao bound (MCRB) of interference frequency offset and time delay was derived,which provided theoretical basis for performance of the proposed algorithm.Simulation results show that the algorithm has similar performance with existing algorithms,but its complexity is reduced by two-thirds.…”
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Joint estimation of interference frequency offset and time delay in PCMA system by Xue-juan WEI, Yong YANG, Yi-ming GUO, Dong-ling ZHANG

“…For cooperative received high-order modulation PCMA (paired carrier multiple access) signals,joint estima-tion of frequency offset and time delay was proposed.The sequence samples stored locally were used as auxiliary data.Estimation of frequency offset and time delay was calculated by optimizing the objective function,which was obtained from the cross-correlation computation of the auxiliary data and mixed signal,and the optimized process was accom-plished by utilizing two-dimensional search.By setting the threshold of joint estimation,the calculated amount was greatly reduced.Modified Cramer-Rao bound (MCRB) of interference frequency offset and time delay was derived,which provided theoretical basis for performance of the proposed algorithm.Simulation results show that the algorithm has similar performance with existing algorithms,but its complexity is reduced by two-thirds.…”
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Early diagnosis of lung cancer using a sensor gas analysis complex: case report by E. O. Rodionov, D. E. Kulbakin, D. V. Podolko, E. V. Obkhodskaya, A. V. Obkhodskiy, S. V. Miller, A. A. Mokh, V. I. Sachkov, A. S. Popov, V. I. Chernov

“…Conclusion. Machine learning algorithms are actively used to diagnose socially significant diseases. the platforms being developed based on arrays of chemical sensors with data analysis using a neural network are promising candidates for implementation in screening activities.…”
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Carrier initial phases estimation for single-channel adjacent-frequency mixture of digitally modulated signals by Yong YANG, Yi-ming GUO, Hai-xin WANG, Hua PENG, Dong-ling ZHANG

“…For single-channel mixture of adjacent-frequency digitally modulated signals which have the fixed frame length and sync codes in non-cooperative satellite communications,a carrier initial phases estimation algorithm which can be applied to both low-order and high-order digitally modulated mixtures was provided according to the differences of parameters in the source signals.The sync data eliminated the frequency offset was added in the interval of frame length firstly,then timing synchronization was accomplished for the added result in terms of power maximization rule,thus the initial phases information was derived.Moreover,the modified Cramer-Rao bound (MCRB) of carrier initial phases for single-channel mixture of adjacent-frequency digitally modulated signals was derived for comparison.Simulation results show that,difference between estimation performance of the proposed algorithm and MCRB becomes smaller with the increase in the number of added frames.…”
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Study on distributed and dynamic resource management for delay-sensitive sensor network by Wei LIU, Jun LIU

“…The delay-aware dynamic resource management problem was investigated in sensor network,with a focus on resource allocation among the sensors and power control along the time.By taking account of average delay requirements and power constraints,the considered problem was formulated into a stochastic optimization problem.Inspired by Lyapunov optimization theory,the intractable stochastic optimization problem was transformed into a tractable deterministic optimization problem,which was a mixed-integer resource management problem.By exploiting the specific problem structure,the mixed-integer resource management problem was equivalently transformed into a single variable problem,and the cooperative distributed method was present to effectively solve it with guaranteed global optimality.Finally,a dynamic resource management algorithm was proposed to solve the original stochastic optimization problem.Simulation results show the performance of the proposed dynamic algorithm and reveal that there exists a fundamental tradeoff between delay requirements and power consumption.…”
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Refinement of Control Strategies for Wheel-Fan Systems in High-Speed Air-Floating Vehicles Operating in Atmospheric Pressure Pipelines by Kun Zhang, Bin Jiao, Yuliang Bian, Zeming Liu, Tiehua Ma, Changxin Chen

“…The hub motor of the wheel fan is managed through three distinct algorithms: PID, fuzzy PID, and the backpropagation neural network (BP). …”
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Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning by Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov

“…In this paper, we focus on the exploration problem inherent in many MARL algorithms. These algorithms often introduce new hyperparameters and incorporate auxiliary components, such as additional models, which complicate the adaptation process of the underlying RL algorithm to better fit multi-agent environments. …”
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Positive matrix factorization of large real-time atmospheric mass spectrometry datasets using error-weighted randomized hierarchical alternating least squares by B. C. Sapper, S. Youn, S. Youn, D. K. Henze, M. Canagaratna, H. Stark, H. Stark, J. L. Jimenez

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