Biomechanical Analysis of <i>Camellia oleifera</i> Branches for Optimized Vibratory Harvesting by Rui Pan, Ziping Wan, Mingliang Wu, Shikui Lu, Lewei Tang

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Approaches and Methods of Optimazing Long-Term Strategy of Pulling Projects of Nuclear Legacy out of Operation by D. F. Ilyasov

“…Methods of resolving the task of optimization were studied that are based on principles of dynamic programming and an example of getting a solution was demonstrated. …”
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Modified invasive weed optimization MPPT approach for PV system interfaced with BLDC motor for water pumping system by S. Nagaraja Rao, B. M. Kiran Kumar, B. M. Manjunatha, A. Suresh Kumar

“…Results of proposed MIWO with P&O approach has been compared with other MPP approaches i.e., grey wolf optimization (GWO) approach, particle swarm optimization (PSO) approach, and genetic algorithm (GA) approaches for MPP tracking under different PSCs. …”
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Research on Structural Optimization and Excitation Control Method Using a Two-Dimensional OWPT System for Capsule Robots Based on Non-Equivalent Coils by Wenwei Li, Pingping Jiang, Zhiwu Wang, Guozheng Yan

“…Based on the magnetic field calculation and finite element analysis, the saddle coil structure is optimized to enhance magnetic field uniformity; to achieve a two-dimensional rotating magnetic field, a phase difference control method for the excitation signal is developed through the analysis of circuit topology and quantitative synthesis of non-equivalent magnetic field vectors. …”
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Modeling of Battery Storage of Photovoltaic Power Plants Using Machine Learning Methods by Rad Stanev, Tanyo Tanev, Venizelos Efthymiou, Chrysanthos Charalambous

“…This research presents a methodology and realization of a set of 11 BESS models based on different machine learning methods. The performance of the proposed models is tested using real-life BESS data, after which a comparative evaluation is presented. …”
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A Dynamic Scheduling Method Combining Iterative Optimization and Deep Reinforcement Learning to Solve Sudden Disturbance Events in a Flexible Manufacturing Process by Jun Yan, Tianzuo Zhao, Tao Zhang, Hongyan Chu, Congbin Yang, Yueze Zhang

“…In this paper, a dynamic scheduling method combining iterative optimization and deep reinforcement learning (DRL) is proposed to address the impact of uncertain disturbances. …”
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The optimal estimation algorithm of coordinate informative parameters MSK signals of packet radio with unknown initial modulation law using matching pursuit and nonlinear chirplet... by R. A. Volkov

“…The optimal estimation algorithm for time of arrival of MSK radio signals of packet radio in area distributed receiving points of range difference position location system is developed. …”
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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
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Effect of different administration methods of dexamethasone on postoperative pain and swelling following implant flap surgery: A randomized controlled trial of patient-centered out... by Feng He, Panpan Ming, Hong Zhu, Wenqing Zhu

“…While dexamethasone is known to mitigate these symptoms, the optimal administration method remains unclear. This study compared the effects of different administration methods of dexamethasone on alleviating pain and swelling after flap implantation surgery. …”
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Optimization of a resilient circular closed-loop supply chain network under uncertainty by Samira Mehrabi, Hassan Mina, Shahryar Sorooshian

“…The results derived from implementing the developed optimization model in the real world and conducting the sensitivity analysis process denote the effectiveness and accuracy of the developed optimization model and solution method.…”
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UAV Path Planners in Complex Environments: A Multi-Dimensional Perturbation Based on Artificial Bee Colony by Xuzhao Chai, Guanhao Zhou, Haoyu Wang, Ping Liu, Zhongyun Liu, Chao Li, Li Yan

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Akebia quinata flower is an excellent potential herbal tea: Chemical quality, bioactivity analysis and metabolite profiles of Akebia quinata flower with different drying methods by Tianjiao Jia, Mian Faisal Nazir, Tao Zhang, Qiuping Zhu, Jie Xu, Longyu Dai, Yafang Zhao, Shuaiyu Zou

“…Despite the abundance of A. quinata flowers, they remain underutilised and are often wasted. The effects of different drying methods on the chemical quality, bioactivity and metabolic profiles of A. quinata flowers were compared. …”
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Optimization of Remote Backup Protection Coordination Logic Based on Dynamic Identification of Faulty Components in Transmission Grids by LIN Xiangning, JI Jihao, DING Yifan, LI Zhengtian, WENG Hanli

“…[Conclusions] The proposed method achieved rapid and dynamic identification of multiple types of fault components in renewable energy grids through the complementary use of negative sequence ranking and traveling wave time-difference criteria， overcoming the limitations of looped network deadlocks. …”
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A risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced ADMM by Haotian Ma, Bo Zeng, Jiayu Wang, Shengyi Wang, Chen Liang, Jiayi Zhang

“…To improve computational performance and protect the privacy between the DCs, the improved multiplier based alternating direction method of multipliers (M−ADMM) distributed solution method is developed to solve the dispatch model for DCs, and consider the time difference between photovoltaics and temperature caused by geographical longitude location. …”
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Design and Optimization of an Uneven Wave-like Protrusion Channel in the Proton Exchange Membrane Electrolysis Cell Based on the Taguchi Design by Zhong-Liang Feng, Tian-Jun Zhou, Shen Xu, Guo-Liang Wang, Lu-Haibo Zhao, Bo Huang

“…In addition, the waveforms of the waveform protrusions were optimized using the Taguchi design method. The results obtained further optimized the PEMEC performance by increasing the outlet oxygen volume by 8.97%, reducing the average pressure drop by 4.4%, and decreasing the volumetric gas content by 20.26%.…”
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Mechanism of hydraulic fracture propagation and fracturing process optimization in thin-interbedded sandstone-shale reservoirs based on 3D discrete lattice method by Dongzheng Sun, Fabin Xu, Lei Ma, Long Li, Cheng Han

“…Therefore, the process optimization scheme is proposed: 60 mPa·s high viscous surface is used when the barrier modulus is &lt;6,000 MPa, 10 mPa·s low viscous activated weak surface is selected when the reservoir-interlayer stress difference is &lt;5 MPa, multi-stage proppant combination and 8–10 m3/min injection displacement control are used to achieve the optimal configuration of technical and economic parameters. …”
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A Capacity Optimization Configuration Method for Photovoltaic and Energy Storage System of 5 G Base Station Considering Time-of-Use Electricity Price by Ziyan HAN, Shouxiang WANG, Qianyu ZHAO, Zhijie ZHENG

“…With the rapid development of the 5th generation mobile communication technology (5G communication), the number of 5G base stations is increasing, and the problem of large power consumption and high electricity cost of 5G communication is becoming more and more prominent. Therefore, an optimal configuration method is proposed for the photovoltaic and energy storage system of 5G base station with consideration of the integration of photovoltaic power generation and energy storage to improve the economics of 5G base station operation. …”
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Application of the Analytic Hierarchy Process Method to Select the Final Solution for Multi-Criteria Optimization of the Structure of a Hybrid Generation System with Energy Storage by Andrzej Tomczewski, Stanisław Mikulski, Jan Szymenderski

“…This paper concerns the application of the AHP (analytic hierarchy process) multi-criteria decision support method for the final selection of the structure of a hybrid power system with RESs (renewable energy sources) and EES (electrical energy storage) from a set of solutions obtained through multi-criteria optimization. …”
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Optimizing Bioceramic Composites for Hip Joint Replacements using SPS Method: Investigating the Effects of Titanium Diboride (TiB2) on Tribological Properties by Pavankumar Ravikumar, Goud Mallesh, S. Suresh Kumar, H. S. Manjunatha

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Model of the resource allocation system structure based on the functional-network principle of representing indicators by Roman A. Khalturin, Igor Yu. Kashtanov, Vladimir D. Kutkov, Nikita S. Akinshin

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