Crack detection based on attention mechanism with YOLOv5 by Min‐Li Lan, Dan Yang, Shuang‐Xi Zhou, Yang Ding

“…The images were manually marked with LabelImg annotation software, and then the network model parameters were obtained through improving the YOLOv5 network training. Finally, the cracks are verified and detected by the established model. …”
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Analysis and Research of the Planetary Ring Bevel Gear Power Split Type Continuously Variable Transmission by Gu Cunhang, Mao Huping, Wang Qiang, Shi Yuncai

“…Furthermore,the power flow direction and distribution relationship are obtained accurate judgments. Finally,the overall transmission efficiency of the transmission system is analyzed and calculated in detail,comparative analysis of the transmission efficiency with the original planetary rings cone continuously variable transmission is carried out by using the example. …”
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MODELING AND ANALYSIS OF THE LIMIT BENDING-RADIUS FOR STRAIGHTENING A THIN-WALLED TUBE WITH EQUAL CURVATURE by ZHANG ZiQian, YAN YunHui, YANG HuiLin, WANG Lei

“…In order to certify whether it is correct,we have done the dynamic simulation by FEA,the results have shown that the model is approximate correct,finally the influencing factors of the limit bending-radius are analyzed qualitatively,this paper can also provide the basis for optimizing straightening technical parameters and completing the theory of thin-walled tube straightening.…”
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Approach of target tracking combining particle filter and metric learning by Hongyan WANG, Libin ZHANG, Guoqiang CHEN, Zumin WANG, Zhiyuan GUAN

“…Focusing on the issue of the significant degradation of target tracking performance caused by adverse factors in complex environment, a target tracking method based on particle filtering and metric learning was proposed.First of all, a convolutional neural network (CNN) was offline-trained via the proposed method to effectively obtain the target characteristics.After that, the distance measurement matrix optimization model to minimize the prediction error could be constructed on the basis of the metric learning for kernel regression (MLKR) method, and the resultant model could be handled via using the gradient descent approach to obtain the optimal solution of the candidate target.Moreover, based on the predicted value of the optimal candidate target, the reconstruction error was calculated to construct the target observation model.Finally, a long-short-term update strategy was introduced to achieve the effective target tracking under the particle filter tracking framework.The experiment results show that the proposed method has higher tracking accuracy and better robustness in complex environments.…”
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Uncertain edge coalition game based EIP revenue estimation strategy by ZHAO Shuxu, XIA Xinyu, WANG Xiaolong

“…Secondly, a belief structure was introduced to characterize the probabilities of high, medium, low, and unknown scenarios for the coalition's revenue. Finally, the uncertain Owen value was used to estimate the interval revenue of the EIP in the coalition one time slot in advance. …”
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Modified complex multitask Bayesian compressive sensing using Laplacian scale mixture prior by Qilei Zhang, Lei Yu, Feng He, Yifei Ji

“…More importantly, the authors not only present the iterative algorithm but also develop the sub‐optimal fast implementation method based on the marginal likelihood maximisation, which dramatically reduce the computational complexity. Finally, sufficient numerical simulations validate the better performance of the proposed algorithm in reconstruction accuracy and computational effectiveness than existing work. …”
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Transient Horizontal Response of a Pipe Pile in Saturated Soil with a Flexible Support at the Pile Head by Ao Su, Min Zhang, Wei Shang, Qiqi Wang

“…Validation against existing results demonstrates the accuracy of the proposed model. Finally, a parametric study investigates the effects of factors such as impact load, permeability, pile diameter, and pile head constraints on pile displacement.…”
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Energia eólica no Brasil: a contribuição do Nordeste e do Rio Grando do Norte na diversificação da matriz energética by Maria Eduarda Medeiros da Silva, José Alderir da Silva

“…The Brazilian energy matrix features a wide variety of energy sources, considered one of the cleanest in the world due to the significant contribution of renewable sources, such as wind energy. Thus, the objective of this article is to analyze the process of diversifying the country’s electrical matrix and the role of wind energy in this process. …”
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Research Progress in Raw Starch Degrading Enzymes by NING Ke, ZHANG Haoran, ZHAO Kai

“…Thereafter, this review outlines the sources of RSDE and analyzes the factors affecting RSDE activity, such as amylase action conditions, metal ions, and starch granule-associate protein. Finally, it summarizes the application of RSDE in the starch industry. …”
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Communication emitter individual identification based on 3D-Hibert energy spectrum and multi-scale fractal features by Jie HAN, Tao ZHANG, Huan-huan WANG, Dong-fang REN

“…For communication emitter identification,a novel method based on Hilbert-Huang transform (HHT) and multi-scale fractal features was proposed.First,the time frequency energy spectrum was derived via HHT,which was called a complicated curved surface in the three-dimension space,namely,3D-Hilbert energy spectrum.Then,the differential box dimension and the multi-fractal dimension was extracted to compose the feature vector under multi-scale segmentation using fractal theory.Finally,communication emitter individual identification was obtained using the two dimensions of features above and the support vector machine (SVM).Moreover,the novel method was compared with two existing methods to identify simulated and actual signals with different and the same modulation modes,respectively.Results show that the identification rate of the novel method is higher than that of the two other methods.The features extracted by the novel method have high stability,sufficiency,and identifiability,also outweigh the negative effects of the change of signal-to-noise ratio and the number of training samples and emitters.…”
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Research on Optimization of Aircraft Climb Trajectory considering Environmental Impact by Fangzi Liu, Minghua Hu, Wenying Lv, Honghai Zhang

“…First, the horizontal and vertical climb models are established for the aircraft climb process, and then the optimization objectives are constructed by considering the impact of fuel consumption, exhaust emissions on air temperature, and the convenience of the flight process. Finally, the multiobjective model is solved by genetic algorithm. …”
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Innovation of Teaching Method of Digital Media Art Based on Convolutional Neural Network by Yumei Liu

“…In order to reduce the metadata needed to transmit the position of the discarded frequency-domain coefficients, the method proposed in this study divides the frequency-domain coefficients of different blocks into bands according to frequency and compresses the video in units of bands. Finally, this study constructs a digital media art teaching innovation system based on a convolutional neural network. …”
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تدریس مقرر الخدمات المکتبیة للتعلیم الالکترونى لطلاب أقسام المکتبات والمعلومات العربیة :دراسة تخطیطیة... by د. أمانى زکریا Zakari, د.غدیر مجدى

“…To solve this problem, this study was prepared ,aiming to featurethe importance of the role of library specialist in supporting and developing elearning, and also to mention the most important library services needed tosupport e-learning faculty and students , in addition to the technologies,programs ,and tools needed to support them. the study also aimed atexploring the opportunities available for , and the challenges facing theteaching of " library services for e-learning" curriculum, at the LISdepartments in the Arab world.Finally, the study ended with the design of the mentioned curriculum ,that can be taught in the Arab LIS departments ,in order to qualify students toprovide e-learning support services after they graduate.…”
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Risco de alagamentos no Estado do Paraná: análise da periculosidade e da vulnerabilidade by Marcelo Gonçalves, Mirian Vizintim Fernandes Barros

“…These amounts were used to form other derivatives indices for the analysis of hazard and vulnerability and, finally, the risk index to the occurrence of natural disasters related to flooding in the state of Paraná.…”
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Une situation ouverte en mathématiques : rapports dialectiques entre Théorie - Expérimentation - Contingence by Christine Del Notaro

“…We explain besides, how, by an effect of didactic transposition, an apparently opened situation is confined when found in an exercise book for the teachers instead of circulating between the various worlds for which it is nevertheless intended: first of all, the “noosphere” from which it arises, then, that of the school for whom it was conceived, then that of the training which tries to exploit it and finally, that of the research which uses it with the pupils and analyses the effects.…”
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Making »Un Tribunal para la Constitución«: A Documentary on the Creation and First Years of the Spanish Constitutional Court (1980–1986) by Miguel Beltrán, Daniel Sarmiento

“…It will also attempt to outline the feedback the authors received and its impact among scholars, politicians, journalists, etc. Finally, Section IV gives a brief overview of the impact of the documentary and its main contribution to the historiography of the Spanish transition to democracy and contemporary Spanish constitutional law. …”
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A Fast Elitism Gaussian Estimation of Distribution Algorithm and Application for PID Optimization by Qingyang Xu, Chengjin Zhang, Li Zhang

“…The experimental results indicate the capability of FEGEDA, especially in the higher dimensional problems, and the FEGEDA exhibits a better performance than some other algorithms and EDAs. Finally, FEGEDA is used in PID controller optimization of PMSM and compared with the classical-PID and GA.…”
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LIGHTWEIGHT REALIZATION METHOD FOR WHEEL-SIDE REDUCER BASED ON HIGH DURABILITY LEVEL by ZHENG SongLin, HUANG ChongWen, FENG JinZhi, HUA FeiFei

“…A structural optimization result was calculated by setting the max stress as the constraint and the minimum volume as the objective. Finally,the optimized shell’s fatigue life was predicted by applying virtual fatigue simulation method. …”
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Joint recommendation algorithm based on tensor completion and user preference by Zhi XIONG, Kai XU, Lingru CAI, Weihong CAI

“…Aiming at the problem that existing recommendation algorithms have little regard for user preference,and the recommendation result is not satisfactory,a joint recommendation algorithm based on tensor completion and user preference was proposed.First,a user-item-category 3-dimensional tensor was built based on user-item scoring matrix and item-category matrix.Then,the Frank-Wolfe algorithm was used for iterative calculation to fill in the missing data of the tensor.At the same time,a user category preference matrix and a scoring preference matrix were built based on the 3-dimensional tensor.Finally,a joint recommendation algorithm was designed based on the completed tensor and the two preference matrices,and the differential evolution algorithm was used for parameter tuning.The experimental results show that compared with some typical and newly proposed recommendation algorithms,the proposed algorithm is superior to the compare algorithms,the precision is improved by 1.96% ~ 3.44% on average,and the recall rate is improved by 1.35%~2.40% on average.…”
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Mechanics of cell sheets: plectin as an integrator of cytoskeletal networks by Zuzana Outla, Magdalena Prechova, Katerina Korelova, Jakub Gemperle, Martin Gregor

“…In particular, we focus on the ability of plectin to act as an integrator of the epithelial cytoarchitecture that defines the biomechanics of the whole tissue. Finally, we also discuss the role of cytoskeletal crosslinking in emerging aspects of epithelial mechanobiology that are critical for the maintenance of epithelial homeostasis.…”
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