摘要：A dynamic programming-sequential quadratic programming(DP-SQP)combined algorithm is proposed to address the problem that the traditional continuous control method has high computational complexity and is easy to fall into local optimal *** solve the globally optimal control law sequence,we use the dynamic programming algorithm to discretize the separation control decision-making process into a series of sub-stages based on the time characteristics of the separation allocation model,and recursion from the end stage to the initial *** sequential quadratic programming algorithm is then used to solve the optimal return function and the optimal control law for each *** simulations of the combined algorithm and the traditional algorithm are designed to validate the superiority of the combined ***-following and cross-conflict simulation examples are created to demonstrate the combined algorithm’s adaptability to various conflict *** simulation results demonstrate the separation deploy strategy’s effectiveness,efficiency,and adaptability.

摘要：The development of a high-performing pseudocapacitor requires a comprehensive understanding of electrode materials from the aspects of electron transfer and electrolyte ion adsorption and ***,these factors are considered over the prototype TiO_(2),and a high pseudocapacitance is achieved via the introduction of various defects,i.e.,oxygen defect(V_(O))and co-doped defect(V_(O)+N_(O)).The study is based on joint explorations of first-principle calculations and the transfer matrix *** to pristine TiO_(2)(300 F g^(-1)),defective TiO_(2) produces pseudocapacitance as high as 1700 F g^(-1).Moreover,defects induce small barriers for electron transmission caused by surface band *** climbing image nudged elastic band diffusion of H ions displays a much higher barrier in TiO_(2)-V_(O) than in TiO_(2)-V_(O)+N_(O).Such a result indicates easy H diffusion in the co-doped *** work provides insights into the adsorption and diffusion of electrolyte ions and the influence of defects on electron *** results are also significant for the design and optimization of electrode materials for the next generation of supercapacitors.

摘要：In order to improve the recognition accuracy of similar weather scenarios(SWSs)in terminal area,a recognition model for SWS based on contrastive learning(SWS-CL)is ***,a data augmentation method is designed to improve the number and quality of weather scenarios samples according to the characteristics of convective weather ***,in the pre-trained recognition model of SWS-CL,a loss function is formulated to minimize the distance between the anchor and positive samples,and maximize the distance between the anchor and the negative samples in the latent ***,the pre-trained SWS-CL model is fine-tuned with labeled samples to improve the recognition accuracy of *** comparative experiments on the weather images of Guangzhou terminal area show that the proposed data augmentation method can effectively improve the quality of weather image dataset,and the proposed SWS-CL model can achieve satisfactory recognition *** is also verified that the fine-tuned SWS-CL model has obvious advantages in datasets with sparse labels.

摘要：Modularized circuit designs for chaotic systems are introduced in this ***,a typical improved modularized design strategy is proposed and applied to a new hyper-chaotic system circuit *** this paper,the detailed design procedures are *** simulations and physical experiments are conducted,and the simulation results are compared with Matlab simulation results for different system parameter *** results are consistent with each other and they verify the existence of the hyper-chaotic attractor for this new hyper-chaotic system.

摘要：To solve the multi-variable and multi-objective optimization problem in the thermal design process of the dual-input aeronautic static inverter,an optimization method based on the combination of the multi-objective evolutionary algorithm based on decomposition(MOEA/D)and the fuzzy set theory is *** heat transfer path of the power device is analyzed and an equivalent heat circuit is *** take junction temperature of the power device,mass,and cost of the heat sink as optimization goals,and take the heat sink structure parameters as design variables to conduct thermal optimization based on MOEA/*** paper carries out a comparative study,and the results show that the proposed improved algorithm can meet the different requirements for multi-objective weights,and have good rapidity and robustness.

摘要：The flight departure process is affected by various uncertain factors,such as flight delays,scheduling delays and taxi time etc. A reliable and robust departure sequence is very important to the safe and efficient operation for airports. An optimal scheduling model for multi-runway departure considering the arrival aircraft crossing departure runway is developed. A genetic algorithm encoding flight numbers is designed to find a near-optimal solution. After that,further establish a multi-objective dynamic scheduling model and design a hybrid algorithm to solve it,and compare and analyze the results of the two models. A quantitative analysis of departure time based on the kernel density estimation is performed,and Monte Carlo simulations are carried out to explore the impact of flight departure time’s uncertainty on departure scheduling. The results based on historical data from Guangzhou Baiyun Airport are presented,showing the advantage of the proposed model and algorithm.

摘要：In order to obtain the image of airframe damage region and provide the input data for aircraft intelligent maintenance,a multi-dimensional and multi-threshold airframe damage region division method based on correlation optimization is *** the basis of airframe damage feature analysis,the multi-dimensional feature entropy is defined to realize the full fusion of multiple feature information of the image,and the division method is extended to multi-threshold to refine the damage division and reduce the impact of the damage adjacent region’s morphological changes on the *** the correlation parameter optimization algorithm,the problem of low efficiency of multi-dimensional multi-threshold division method is ***,the proposed method is compared and verified by instances of airframe damage *** results show that compared with the traditional threshold division method,the damage region divided by the proposed method is complete and accurate,and the boundary is clear and coherent,which can effectively reduce the interference of many factors such as uneven luminance,chromaticity deviation,dirt attachment,image compression,and so *** correlation optimization algorithm has high efficiency and stable convergence,and can meet the requirements of aircraft intelligent maintenance.

摘要：Disturbance effect is one of the important factors for wind damage to large cooling *** studies on the wind-induced interference of cooling tower groups are aimed at the same size and the lack of wind-induced interference effects between cooling towers of different *** the background of the additional cooling tower project at Shandong Luxi Power Plant in China,the rigid body pressure wind tunnel test is carried out to obtain 194 conditions for the three combinations of the existing four-tower combination(small size),the new two-tower combination(large size)and the six-tower combination surface wind pressure *** simulation of the surrounding flow field of the cooling tower group with the most unfavorable interference condition of the six-tower combination is conducted using the computational fluid dynamics(CFD)*** on this,the characteristics of the average and pulsating wind pressure distribution of the cooling tower surface under the six-tower combination are mainly studied,and the load interference coefficients of the large-sized cooling tower and the small-sized cooling tower under the three tower group combinations are *** velocity flow field and vorticity changes around the cooling tower group at unfavorable wind angles are analyzed,and the wind-induced interference mechanism between cooling tower groups of different sizes is mainly *** shows that the interference effect between such cooling tower groups of different sizes is much larger than that of cooling tower groups of the same size,which is specifically manifested as the enhancement effect of small-sized cooling towers and the shielding effect of large-sized cooling *** interference coefficient of large-sized cooling tower groups increases by 28%,and the interference coefficient of small-sized cooling tower groups decreases by 6.4%.The airflow acceleration caused by the pinch effect between small-sized cooling tower groups has an a

摘要：The modern transportation system is increasingly developed during recent *** is an effective solution to set the noise barriers to reduce the traffic noise pollution caused by different kinds of transportation *** deficiencies on concrete noise barriers and metal noise barriers with rivet structure can be eliminated by a new kind of noise barrier with no-riveted *** mechanical performance examination and acoustic performance test are conducted on the new-designed noise barrier with no-riveted *** results indicate that the maximum stress is 1.74 MPa and the maximum deformation is 1.04 mm with load acting on the unit *** noise reduction coefficient of this kind of no-riveted noise barrier unit plate is 0.75 and its noise insulation is 40 dB,which were conform to or superior to the standard ***,this new designed noise barrier meets the field application requirements of mechanical and acoustic performance,which demonstrates the noise barriers can be widely promoted.

摘要：The problem of abnormal flight recovery has always been the focus and difficulty in the field of civil aviation,and has important research significance. According to the recovery strategy,characteristics,and constraints of aircraft,aircrews and flights,this paper is based on the column generation algorithms. A mathematical optimization model for the integrated recovery of aircraft and aircrew in the case of temporary aircraft failures was established,and the corresponding solution algorithm was designed. At the same time,the influence of aircraft and aircrew on route selection was taken into account. Finally,the method of calling Cplex by Java was used. Part of the flight plan data actually operated by the company verifies the feasibility,accuracy and timeliness of the model and algorithm.