Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

“…For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.…”
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Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

“…For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.…”
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Optimizing forest stand aggregation in fragmented stands using graph convolutional networks: A case study in Japan by YangYu You, Hyun Bae Kim, Takuyuki Yoshioka

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Optimizing Metro Passenger Flow Prediction: Integrating Machine Learning and Time-Series Analysis with Multimodal Data Fusion by Li Wan, Wenzhi Cheng, Jie Yang

“…In this paper, we propose a method that combines advanced machine learning with rigorous time series analysis to improve prediction accuracy by integrating different datasets, providing a prescriptive example for passenger flow prediction in urban rail transit systems. …”
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Optimized microencapsulation of phenolic- and vitamin C-rich juice from Indian gooseberry by calcium-alginate ionic-crosslinking by Anne Gellie P. Pablo, Utai Klinkesorn, Sasitorn Tongchitpakdee

“…This study aimed to improve the fruit juice application by developing microbeads using calcium-alginate encapsulation. The encapsulation method of juice was conducted through extrusion and ionic crosslinking. …”
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Small Opening Flow Linearity Optimization of High-Pressure and Large-Flow Two-Way Proportional Throttle Valve by Baosheng Wang, Liu Yang, Tianxiong Gao, Qingxin Meng, Shouwen Xiao, Chao Ai

“…Thirdly, the size of the spool orifice is optimized using an orthogonal test method, and the trend of how different structures’ orifice sizes influence flow linearity is investigated. …”
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Taxonomy of Memory Usage in Swarm Intelligence-Based Metaheuristics by Yasear et al.

“…Metaheuristics under the swarm intelligence (SI) class have proven to be efficient and have become popular methods for solving different optimization problems. …”
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Optimization of Ultrahigh Pressure-Hot Air Drying of Chinese Yam Based on CRITIC Combined with Response Surface Methodology by Cong FU, Baoguo LI, Jun LI, Xiao WANG, Heng LU

“…Methods: The drying time, rehydration ratio (RR), color difference value, polysaccharide and total phenol content (TPC) were used as indicators to investigate the effects of different UHP pressure, holding time and drying temperature conditions on CY processing by single factor experiment, the weight coefficient of five indicators and the comprehensive score under different conditions were calculated by the CRITIC method, using the comprehensive score as the response value to optimize the processing technology of UHP pretreatment combined with HAD by response surface methodology. …”
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Measurement and optimization paths of the multidimensional development levels of counties in the Yellow River Basin: based on the sustainable livelihoods framework by Lisha Cheng, Lisha Cheng, Li Ma, Jiajun Qiao, Jiajun Qiao, Xiaoyue Li

“…Based on this classification, targeted optimal development paths are proposed with a focus on the specific characteristics of different development types. …”
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Optimization Planning on Power System Supply-Grid-Storage Flexibility Resource for Supporting the “Carbon Neutrality” Target of China by Chen JIN, Dawei REN, Jinyu XIAO, Jinming HOU, Ershun DU, Yuanbing ZHOU

“…With the 2060 carbon neutrality target as the boundary and an incorporated 8760-hour-time-series operation simulation model, we optimize the new energy power, energy storage and grid interconnection capacity from different time and space scales, considering various flexibility resources constraints, thereby offering a viable way to carbon neutrality. …”
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A speed optimization model for connected and autonomous vehicles at expressway tunnel entrance under mixed traffic environment. by Jianrong Cai, Yang Liu, Zhixue Li

“…The minimum TTC values at different CAV penetration rates consistently exceed the safety threshold TTC*, confirming the effectiveness of the proposed control method in enhanced safety. …”
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Developing a model of corona anxiety in students based on optimism and resilience: the mediating role of the perceived social support by Sanaz Eyni, Matineh Ebadi, Naghmeh Torabi

“…Results: Based on the results, the causal model confirmed the relationship between optimism, resilience, perceived social support and Corona anxiety in students based on different fitness indices. …”
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Multi-Objective Optimization Scheduling of a Wind–Solar Energy Storage Microgrid Based on an Improved OGGWO Algorithm by Dong Mo, Qiuwen Li, Yan Sun, Yixin Zhuo, Fangming Deng

“…Furthermore, Gaussian walk and Lévy flight are introduced to enhance the search capability of the proposed OGGWO algorithm. This method expands the search range while sacrificing only a small amount of search speed, contributing to obtaining the global optimal solution. …”
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A Typical Infrared Background Radiation Prediction Model Based on RF-VMD and Optimized Hybrid Neural Network by Bentian Hao, Weidong Xu, Xin Yang, Feifei Xiao, Hao Li, Wei Huang

“…To meet the demand for active camouflage of background infrared (IR) radiation, a short-term background IR radiation prediction method based on historical data is proposed. First, a random forest (RF) is used to filter the collected multidimensional meteorological parameters. …”
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Analytic Evaluation of the Statistical Power of Accelerated Reliability Demonstration Tests by Philipp Mell, Martin Dazer

“…To enable wide applicability of optimal test planning methods based on the probability of test success, an analytic approach is presented in this paper. …”
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Streamlined Model Predictive Control for a Triple-Optimization of Thermal Comfort, Heating Costs, and Photovoltaic Self-Consumption by Vukasin Klepic, Magdalena Wolf, Tobias Proll

“…This paper introduces a straightforward Model Predictive Control (MPC) method for residential buildings equipped with thermally activated building structures (TABS), photovoltaics (PV), and heat pumps (HP). …”
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Numerical Simulation and Optimized Field-Driven Design of Triple Periodic Minimal Surface Structure Liquid-Cooling Radiator by Zhuopei Lv, Xinbo Chai, Fuyin Wei, Hongkai Yang, Chao Wu, Jianping Shi

“…The field-driven design method is further adopted to adjust the porosity according to the temperature field distribution, and the TPMS channel structures were optimized by nTopology software. …”
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Optimization of silica content in alumina-silica nanocomposites to achieve high catalytic dehydrogenation activity of supported Pt catalyst by Osama Saber, Heba M. Gobara

“…The present work aims at obtaining a suitable and selective catalyst for catalytic dehydrogenation reactions through designing pore structures of silica-containing alumina nanocomposites by optimizing silica content in the structure. In this trend, series of silica-containing alumina nanocomposites with different molar ratios Al2O3/SiO2 were prepared by the solvothermal method. …”
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An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP-Based DRDoS Attack Detection by V. Sreenivasulu, C. V. Ravikumar

“…The F-measure of the proposed method is 9.06%, 6.63%, 4.80%, and 2.61% improved than other existing comparative methods.…”
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State of Health Prediction for Lithium-Ion Batteries Based on Gated Temporal Network Assisted by Improved Grasshopper Optimization by Xiankun Wei, Silun Peng, Mingli Mo

“…By integrating improved grasshopper optimization (IGOA) with hybrid graph-temporal modeling, the method achieves superior prediction accuracy compared to conventional techniques, providing a promising tool for battery management systems in real-world applications.…”
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