bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Analysis Method of Performance Comprehensive Performance Optimization Design for Multi-body Unmanned Boat
Authors: Han Xiaofeng , Qi Xuejia , Zhang Jincheng , Yang Songlin , Chen Shuling 
Published: May 2022

Abstract
In order to compare and analyze the comprehensive performance of multi-hull unmanned boats under specific conditions, this paper conducts in-depth research on the multi-objective decision-making theory and intelligent optimization algorithms of boat type design. First of all, this paper establishes the corresponding ship type and resistance database using the response surface fitting method through the drag resistance test of the ship model. Secondly, comprehensively considering the impact of the three major performances of multi-hull unmanned craft on the design of the boat’s speed, maneuverability and seakeeping, a comprehensive optimization mathematical model was established, and the comprehensive optimization design software was adapted. Then, using genetic algorithm, particle swarm algorithm, and chaos algorithm to conduct a preliminary calculation and analysis of the comprehensive performance of the two ship types. By comparing the calculation results, it is concluded that the particle swarm algorithm is the best algorithm among the three intelligent algorithms. Finally, the particle swarm algorithm is used to compare and analyze the comprehensive performance of the two ship types in the multi-hull unmanned craft. It is concluded that the overall performance of the three-hull unmanned craft is better at the same speed and displacement. This paper discusses the pros and cons of the three intelligent algorithms, compares and analyzes the calculation results of each optimization algorithm, and provides a practical way and method for the selection of multihull unmanned boats under the same speed and same displacement.
Support Vector Machine Classification Based on Improved Harris Hawk Optimization Algorithm
Authors: Nong Yingxiong , Chen Zhibin , Huang Cong , Zhou Zhaofeng , Pan Jian , Liang Dong , Wei Yi , Li Zhe , Lu Ying 
Published: May 2022

Abstract
Support vector machine (SVM) has good classification effect on small samples and data sets with errors. We propose to improve the Harris Hawk optimization algorithm (HHO) to optimize the SVM to further improve its classification performance. The parameters of the SVM affect its classification accuracy, but there are certain difficulties in the selection of parameters, so the HHO is used to select the optimal parameters of the SVM. The HHO is easy to fall into local optimum and the convergence accuracy is affected to some extent. Chaotic perturbation convergence and nonlinear time-varying updating strategy are introduced to maintain the randomness and diversity of populations in the iterative process of HHO, enhance the search ability, enable the algorithm to jump out of the local optimum, and improve the convergence performance. Through three comparative algorithms tested on six UCI datasets, it is demonstrated that the parameters selected by the improved HHO proposed can lead to better classification accuracy and stability of the SVM.
EEG Signal Classification Based on Neural Network with Depthwise Convolution
Authors: Deng Yifei , Yu Hao , Peng Fuming , Yan Fuwu , Wu Yibo , Yan Lirong 
Published: May 2022

Abstract
Brain-Computer Interface (BCI) have attracted a lot of attention recently as it enables people to communicate between the human and the machine by electroencephalography (EEG) signals decoding. EEG signals classification is important for BCI system. Convolution neural network (CNN) can automatically extract features and enhance the classification accuracy. However, limited EEG data easily leads to over-fitting of neural network. In this study, we proposed two novel neural networks (DCNN and DSCNN) based on depthwise convolution for EEG signals classification. The proposed models used depthwise convolution to learn a spatial filter and fuse channels information. And we performed multiple experiments to evaluate the EEG signal classification performance of the proposed CNN models on multiple sets of public datasets. The proposed DCNN method achieved 88.33% and 78.00% on the dataset III and the dataset IV from BCI competition II. The proposed DSCNN method could also achieve very competitive accuracy. In addition, the proposed models exhibited a significant ability in reducing model parameters and mitigating over-fitting.
Research on Mongolian-Chinese Neural Machine Translation Based on CSGAN and Co-training
Authors: Qing-dao-er-ji Ren , Yin Yujuan , Wen Lixia , Sa Heya , Shi Bao 
Published: May 2022

Abstract
Aiming at the problems of poor translation quality and scarcity of Mongolian-Chinese parallel corpus resources in Mongolian-Chinese neural machine translation, this paper proposes a method based on conditional sequence of generative adversarial networks (CSGAN) and collaborative training. This method uses the CSGAN network based on adversarial training to train the translation model and obtains a better translation. At the same time, in order to make full use of the existing corpus resources, a collaborative training method is adopted on the basis of the above translation model to integrate the translation into the translation results of the high-resource corpus, and further improve the performance of Mongolian-Chinese machine translation. By comparing the BLEU values of different translation models, it is shown that using CSGAN-based and collaborative training methods can significantly improve the quality of Mongolian-Chinese translation models.
Correlation between Driving Behavior and Brain Activity during Turning Revealed by a Simulated Driving Experiment
Authors: Zhang Jiawen , Chen Yuan , Cheng Yu , Shi Changcheng , Wu Yibo , Yan Lirong 
Published: May 2022

Abstract
Driving behavior during turning is influenced by the driver’s cognitive state and decision-making ability, which are tightly related with the brain activity, but the relationship mechanism is rather complex and has not been fully studied. In this paper, a fusion analysis method of electroencephalography (EEG) and driving data was proposed to explore this correlation. The subjects were divided into three groups, namely the conservative group, moderate group and the aggressive group by k-means++ algorithm. The results of Statistical Parameter Mapping (SPM) showed that the temporal and the frontal regions of all subjects were found to be activated during turning, which meant that driving behavior was associated with attention, decision-making and executive control. Compared with the moderate group, the activation intensity of the frontal lobe, temporal lobe and the posterior central gyrus of the conservative group was higher, while the intensity of the superior temporal gyrus, calcarine cortex and the lingual gyrus decreased, indicated that they need more resources to process cognitive tasks such as hearing and vision, thereby showing more conservative driving behavior; The aggressive group had stronger activity in the middle temporal gyrus and the inferior temporal gyrus, while the activity decreased in the calcarine cortex, middle frontal gyrus, paracentral lobule, posterior central gyrus and the precuneus, which indicated that they were easy to performed aggressive driving behavior due to their poor risk prediction ability and higher cognitive load during turning.
Resonant spontaneous bremsstrahlung in the scattering of ultrarelativistic electrons on nuclei in a strong light field
Authors: Roshchupkin S. P. , Dubov A.V. , Dubov V. V. 
Published: May 2022

Abstract
An analytical study of the process of resonant spontaneous bremsstrahlung radiation during the scattering of ultrarelativistic electrons with energies by the nuclei in strong laser fields with intensities up to I ∼ 1025 Wcm-2 was carried out. Under resonant conditions, an intermediate electron in the wave field enters the mass shell. As a result, the initial second-order process by the fine structure constant is effectively reduced to two first-order processes: laser-stimulated Compton effect and laser-assisted Mott process. The resonant kinematics for two reaction channels (A and B) is studied in detail. An analytical resonant differential cross-section with simultaneous registration of the frequency and the outgoing angle of a spontaneous gamma-quantum is obtained. It is shown that the resonant differential cross-section has the largest value in the region of average laser fields and can be of the order of ∼ 1018 in units

Z
2

α

r
e
2

. The obtained results reveal new features of spontaneous emission of ultrarelativistic electrons on nuclei in strong laser fields and can be tested at international laser installations.
The Raman and hyper-Raman scatterings of light by LO-phonons in a CdS crystal under excitation near resonance with the An=2and Bn=1exciton levels
Authors: Semenova L E 
Published: May 2022

AbstractThe theoretical treatment of the scattering of light by LO-phonons under one-photon and two-photon excitation near resonance with the An=2and Bn=1exciton levels in a CdS crystal is given. The influence of the complex structure of the top valence band on these levels is taken into account by the use of the perturbation theory. Assumption of the nonzero matrix elements of the dipole transitions between the A and B sub-bands leads to the fact that the linear combinations of the 1s and 2p exciton wave functions conform to the two “perturbed” energy levels. The possible manifestations of this mixing of states in the resonance Raman and hyper-Raman scatterings are considered.
Effects Beyond Center-of-Mass Separability in a Trapped Bosonic Mixture: Exact Results
Authors: Alon O E , Cederbaum L S 
Published: May 2022

Abstract
An exactly solvable model mimicking demixing of two Bose-Einstein condensates at the many-body level of theory is devised. Various properties are expressed in closed form along the demixing pathway and investigated. The connection between the center-of-mass coordinate and in particular the relative center-of-mass coordinate and demixing is explained. The model is also exactly solvable at the mean-field level of theory, allowing thereby comparison between many-body and mean-field properties. Applications are briefly discussed.
Comparison of multimode GRIN-fiber Raman lasers with FBG and random DFB cavity
Authors: Chen Yizhu , Fan Chenchen , Yao Tianfu , Xiao Hu , Xu Jiangming , Leng Jinyong , Zhou Pu , Kuznetsov Alexey G. , Nemov Ilya N. , Wolf Alexey A. , Kablukov Sergey I. , Podivilov Evgeny V. , Babin Sergey A. 
Published: May 2022

Abstract
Raman lasing in multimode GRIN fibers is accompanied by sufficient improvement of the output beam quality in comparison with that for pump radiation, which offers opportunities to wavelength-agile fiber lasers of new type. Here we compare power scaling and brightness enhancement capabilities of Raman laser based on multimode GRIN-fiber of 62.5/125 um core/cladding diameters pumped by ∼700 W multimode source with beam quality M2∼10, performed in two different cavity configurations: 1) linear cavity based on two fiber Bragg gratings and 2) half-open cavity with one FBG and random distributed feedback via Rayleigh backscattering along the GRIN fiber.
Plane Wave Backgrounds in the Worldline Formalism
Authors: Edwards James P. , Schubert Christian 
Published: May 2022

Abstract
Plane-wave backgrounds play a special role in strong-field QED as non-trivial field configuration simple enough to be treated analytically whilst still leading to rich physical consequences. In vacuum and in constant backgrounds, the first quantised, string-inspired “Worldline Approach” to field theoryoffers substantial simplifications and calculational efficiency. We present a new, general approach to incorporating plane wave backgrounds into the Worldline Formalism extending initial work by Ilderton and Torgrimsson. The method uses resummation techniques to take the background into account non-perturbatively and yields “Master Formulae” for scattering amplitudes in the background that may offer an alternative tool to studying QED in plane waves as has been achieved in the constant field case.
Process Parameter Optimization on Selective Laser Melting of CuSn10 Powders Based on Response Surface Methodology
Authors: Zhou Yan , Fang Yuanzhi , Wang Jingwen , Xu Lifeng , Wang Dongsheng 
Published: May 2022

Abstract
A shaping test of CuSn10 powders was carried out by using the selective laser melting (SLM) technology to study influences of process parameters of SLM on compactness of specimens. Meanwhile, process parameters were optimized based on the response surface methodology. Meanwhile, phase composition and microstructure of formed part were analyzed by XRD and OM. Results demonstrated that as the energy density of laser body increases from 146.7 J·mm-3 to 181.3 J·mm-3, pores of samples decrease and the compactness increases from 98.97% to about 99.7%. Subsequently, the compactness begins to decrease with the continuous increase of laser energy density. The incomplete melting of powder under low energy density and gasification of powders under high energy density are major factors that influence the compactness. Over low or high laser energy density is disadvantageous for the improvement of compactness. A mathematical model of interaction between three factors (laser power, laser scanning speed and scanning space) and response value (compactness) was built up by using the BBD principle design test of response surface methodology. The degree of fitting (R2) and correction coefficient (R2
adj) of the model were 0.9952 and 0.9866, which agree well with the fitting degree of experimental tests. Among three factors, influences of laser power and scanning speed on compactness are equivalent and more significant than scanning space. The optimal process parameters which were predicted by the model were laser power=331.471 W, scanning speed=648.045 mm·s-1, scanning space=69.9302 μm. Under this circumstance, the compactness of CuSn10 powders after SLM is 99.75%. According to experimental verification, the practical value of compactness is 99.74%, showing a very small relative error. This proves that the BBD model is reliable. The shaped part is mainly composed of α-Cu phase and metastable phase β’-Cu13.7Sn. Compared with the original powders, the content of metastable phase β’ increases significantly, while the δ-Cu41Sn11 phase disappears.
Influence of roller mounting angle on the spinnability of conical spun parts with thin wall
Authors: Zhao Jinzheng , Xu Chun , Chen Runhao , Li Yu 
Published: May 2022

Abstract
Using self-developed automatic control spinning equipment, the shear spinning process under 20°, 30° and 40°of roller mounting angle was carried out on the thickness of 0.5 mm for 1060 aluminum alloy to study the characteristics of microstructure, wall thickness reduction, wall surface quality defects. The results show that the roller mounting angle obviously affects on the spinnability of conical spun parts with thin wall, however, it hardly affects their microstructure evolution. When the roller mounting angle is 30°, i.e. in other words the optimal mounting angle is equal to the half cone angle of the core mold. And the conical wall height of the conical spun part is the highest, and the thickness of the conical wall is uniform, the surface is smooth, and there is no obvious appearance defect. It is found that whether the roller mounting angle is larger or smaller than the half cone angle of the core mold, it will lead to negative deviation from the spinning, even if it does not reach an increase of 90°, only an increase or decrease of 10°, the conical spinning part soon appears circumferential cracking of the sidewall, and the phenomenon of material accumulation in front of the cracking all appears.
Innovative design of automatic demoulding device for lightweight wall panels
Authors: Chen Jiwen , Li Wenchao , Fang Peng , Ji Shuai , Yang Hongjuan 
Published: May 2022

Abstract
The automatic production of lightweight wallboard is an important support for promoting the development of the construction industry. In view of the problems of low efficiency and large demoulding loss in the production process, an innovative improvement of the demoulding device for lightweight wallboard is proposed. Optimizing the demoulding device for lightweight wall panels by combining a gripping device and a conveying device. The synchronous operation of demoulding of wall panel and mold recovery is realized. For the intermittent transmission of wallboard production, it is proposed to use 51 single-chip microcomputer as the main control chip, and S-curve acceleration and deceleration as the speed control algorithm. The demolding production efficiency of the device is improved, and the demolding loss is reduced. The feasibility and effectiveness of the innovative design of the lightweight wallboard stripping device were verified by finite element analysis of the grabbing device.
Preparation of carbon nanotubes/TiO2-polyvinylidene fluoride nanocomposites and composite films
Authors: Hui Yang , Jiaqi Zhang , Huan He 
Published: May 2022

Abstract
In this paper, PVDF membrane was discussed, many modified materials were found from the shortage of materials, and finally carbon nanotubes/TiO2 hybrid materials were synthesized. The preparation methods and synthesis conditions of carbon nanotubes/TiO2-polyvinylidene fluoride nano composite ultrafiltration membrane were studied, and the advanced membrane treatment technology was prospected. Secondly, multi-walled carbon nanotubes/Ti02 hybrid materials were synthesized by hydrothermal method and sol-gel method.
Experimental study on heat transfer characteristics of composite thermosyphon radiator for CPU cooling
Authors: Ba Cailing , Zhang Wenkai , Xu Haipeng , Liu Yunlong 
Published: May 2022

Abstract
In order to meet the heat dissipation requirements of high-power CPUs and make data center servers more energy-efficient, this paper studies a composite thermosiphon radiator for 400WCPU. The cooling performance of the composite thermosiphon radiator and the degree of optimization compared with the ordinary heat pipes radiator are studied under different heat source power and different air volume conditions. The results show that the thermal resistance of the composite thermosiphon radiator is the lowest at 400W and it has little dependence on the air volume. Compared with the common heat pipe radiator, condenser has been greatly optimized, the evaporator needs to be further optimized. When the CPU power is 200W, the CPU core temperature is optimized by 6°C. It is estimated that when the CPU power is 400W, the CPU core temperature is slightly higher than the temperature spec.
Effect of Solution Treatment on Microstructure and Mechanical Properties of TC16 Titanium Alloy Wire
Authors: Tong Xiaole , Zhang Mingyu , Yu Chenquan , Yue Xu , Wang Raoyu , Dong Xiaofeng 
Published: May 2022

Abstract
TC16 titanium alloy wire was treated by solution treatment, and then the optical microscope, tensile property and impact property tests were used to analyze the microstructure and mechanical properties of TC16 titanium alloy wire after solution treatment. The results show that there are a lot of primary α phase, metastable β phase and α” phase after solution treatment. With the increase of solution temperature, the content of primary α phase decreases to completely disappear and more α” phase is formed. Under the condition of solid solution, the tensile strength decreases with the increase of temperature, while the plasticity changes little with the increase of temperature. The maximum tensile strength is 969 MPa, the maximum yield strength is 572 MPa, the maximum elongation after fracture is 26 %, and the maximum section shrinkage is 59 %. The impact toughness and impact absorption energy increase with the increase of solid solution temperature, and the maximum impact toughness is 90 J/cm2, and the maximum impact absorption energy is 37 J.
Effect of Zr doping on precipitated phase and mechanical properties of NiFeGa alloy
Authors: Wang Mingguang , Gao Yongqiang , Yang Jingfang , Cong Daoyong , Qi Yang 
Published: May 2022

Abstract
The effect of Zr alloying on the precipitates and mechanical properties of magnetic shape memory alloy Ni55Fe12Ga34-xZrx (x=0,2,3,4,5,12 atomic number fraction, the same below) was investigated. The results showed that Ni54Fe12Ga34 alloy is a single martensitic phase with high brittleness. Ni55Fe12Ga34-xZrx (x=2, 3, 4, 5) alloy was composed of γ phase and eutectic structure. The compressive strength of Ni55Fe12Ga34-xZrx alloy increases with the increase of Zr content, which is caused by the precipitation of the second phase and eutectic structure. When Zr content was 12 at.%, the alloy consists of γ phase, eutectic structure and strip phase. Due to the appearance of strip brittle phase, the compression strength of the alloy decreases. With the increase of Zr content, the strip phase increases, and the compression strength decreases gradually. Ni55Fe12Ga34-xZrx series alloys have excellent superelasticity, and the alloy has the best superelasticity when Zr content is 5 at.%.
Research on Speed Regulation performance of switched reluctance Motor based on nonlinear active disturbance rejection
Authors: Zhang Shuai , Sun Ming , Sun Baojiang 
Published: May 2022

Abstract
The state has vigorously advocated new energy electric vehicles in recent years. Compared with other motors, switched reluctance motor has the advantages of superior speed regulation performance, low production cost and strong controllability. However, due to its double salient structure, it is easy to produce magnetic circuit saturation, and its control is non-linear, which is easy to lead to large torque ripple and strong noise. To solve this problem, a control strategy combining active disturbance rejection control and direct torque is proposed to suppress torque ripple. A simulation model is built and calculated with simulation software. At the same time, it is compared with PI control and fuzzy PID control under direct torque control. Finally, the simulation experiment is carried out on a 6 / 4 motor. The simulation results also show that the direct torque control strategy based on active disturbance rejection control technology can effectively control the torque and speed of switched reluctance motor.
Failure analysis on weld cracking of a centrifugal fan blade in a nuclear power plant
Authors: Zhang Wei , Hu Minglei , Xu Ke , Xu Zhu , Li Qiuda , Wen Jie , Bian Chunhua 
Published: May 2022

Abstract
Abnormal sound occurred during a centrifugal fan startup in a nuclear power plant and the root welds of two blades of the fan were cracked during the maintenance. In this paper, the failure blade and weld were comprehensively analyzed by means of morphology, composition, hardness, metallography and microstructure. It was found that the T-shaped weld at the blade root was convex and poor forming. The overall welding quality of the weld was poor, and there were the defects of arc pits, slag inclusion holes, composition segregation in the weld. The blade was subjected to typical fatigue stress due to fan vibration during operation. Due to poor forming and poor quality of the weld, the stress concentration factor at the weld toe of the fillet weld was large and the fatigue resistance was poor. Finally, blade fatigue cracking occurred during long-term operation.