Gearbox Fault Diagnosis based on GAF-inceptionResNet by Changwen Li, Peng Li, Hua Ding

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Fault Diagnosis of Variable Speed Gear based on ATF and ASAD by Xiangmin Chen, Meng Duan, Qi Li, Guoqiang Shu, Kang Zhang, Luping Li

“…By combining ASAD and ATF，the signal after noise reduction is analyzed by order spectrum，and the local fault of gear can be diagnosed by modulation side frequency band in order spectrum. The simulation data and the data analysis of the variable speed gearbox test bench show that the proposed method has a good signal analysis adaptability for the gear vibration signals under the variable speed condition，and can not only filter out noise interference well，improve the noise suppression effect in the pass band，but also effectively highlight the gear fault characteristics under the variable speed condition.…”
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Structural brain basis of latent factors of executive functions in childhood by Yongjing Li, Keertana Ganesan, Claire R. Smid, Abigail Thompson, Roser Cañigueral, Jessica Royer, Boris Bernhardt, Nikolaus Steinbeis

“…These findings are however predicated on a piecemeal and single-task approach. It is therefore unclear to what extent these associations reflect task-specific features or actual constructs of executive functions. …”
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Trajectory Tracking Control of Robot based on Improved Genetic Algorithm by Liu Yiyang, Liu Mingming

“…The simulation results show that,by using the algorithm,the optimal path of robot trajectory control can be found with fast convergence speed,and it has a better robot path tracking control accuracy and convergence performance,superior performance.…”
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Music Emotion Research Based on Reinforcement Learning and Multimodal Information by Yue Hu

“…Under the ubiquitous information environment, revealing the deep semantic information of multimodal information resources and providing users with integrated information services has important research and application value. In this paper, a multimodal fusion algorithm for music emotion analysis is proposed, and a dynamic model based on reinforcement learning is constructed to improve the analysis accuracy. …”
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Design of polling access control protocol in WSN based on FPGA by Long-jun LIU, Hong-wei DING, Qian-lin LIU, Zheng-gang LIU

“…MAC(media access control) protocol is a direct link between physical and network layer,which is one of the key protocols to ensure high efficient communication.According to the characteristics of WSN (wireless sensor network) nodes,the design and implementation of polling access control protocol based on FPGA (field programmable gate array) were presented for the first time.The design made full use of the characteristics of flexibility and reconfigurability of FPGA.The method of combination of the hardware circuit description language Verilog HDL and the principle diagram was adopted,using Quartus II 8.0 to carry on the synthesis and routing,testing in the DE2.The design has the characteristics of good real-time,high reliability,strong portability,and can effectively reduce the transmission delay and improve the bus utilization.The designed system can be widely used in WSN,software radio network,ad hoc networks,military integrated service network,mobile communications networks,Internet of things as well as other fields.…”
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STRUCTURAL OPTIMIZATION OF THE EXCAVATOR ENGINE HOOD BASED ON MODAL ANALYSIS by YANG WeiPing, HOU Liang, CAI HuiKun, LI ShengYu, ZHANG EnLai, WANG WenWu

“…Under the incentives of engine and road,the sheet parts are easy to produce serious vibrational response,which directly results in the deformation and the cracking of some weak positions of the structure. …”
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Interference elimination based spectrum allocation algorithm for cognitive radio by Wen-feng DU, Ya-tao LIU, Zhong MING, Yin-xue SUI

“…With the spectrum allocation process in cognitive radio network,an interference elimination based spectrum allocation algorithm was proposed to improve the utilization of spectrum by allocating available spectrum to all cognitive users which can simultaneously access the same spectrum without interference.Meanwhile,this algorithm would allocate spectrum to cognitive user,which had not been assigned in previous allocation process,with reference to the amount of available spectrums in the initial stage to optimize t fairness of spectrum allocating process.Extensive simulation results show the proposed algorithm can achieve better throughput when the amount of available spectrum is far less that of cognitive user.…”
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Non-invasive eye tracking technology based on corneal reflex by Di GAO, Gui-sheng YIN, Chun-guang MA

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An Improved Network Risk Evaluation Metbod Based on Markov Game by Wenfen Liu, Shuwei Zhang, Xin Gong

“…An improved risk assessment method based on Markov game that has simply changed the past was presented, in which the risk status of the network assets were classified into fixed categories. …”
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Construction and performance of oxidized coal powders based hydrovoltaic devices by Jianhang ZHAO, Zhichao ZUO, Wenwen YU, Yanan YE, Fengbo ZHU, Qiang ZHENG

“…The combustion of coal for power generation is accompanied by the production of large amounts of pollutants and greenhouse gases. Therefore, the development of new green power generation methods for coal is of great significance. …”
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Development of RNA interference-based therapy for rare genetic diseases by Milya Urfa Ahmad, Syarifah Dewi

“…Despite these obstacles, RNAi-based therapy holds significant potential for revolutionize the treatment of genetic disorders. …”
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Research and application of traffic engineering algorithm based on deep learning by Daoyun HU, Jin QI, Qianchun LU, Feng LI, Hongqiang FANG

“…With the development and application of 5G network, the amount of traffic in network increased rapidly, which caused the lack of bandwidth resource.In order to improve the utilization of network resource and satisfy the critical user requirement for QoS (quality of service), a novel traffic engineering algorithm based on deep learning in SDN was proposed.At last, simulation results show that the proposed algorithm not only can calculate an efficient path for service in real time, but also can improve the QoS and the utilization of network resource, as well as reduce network congestion.…”
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Bending Moment Calculations for Piles Based on the Finite Element Method by Yu-xin Jie, Hui-na Yuan, Hou-de Zhou, Yu-zhen Yu

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The Nature-based Tourism Sustainability: Cultural Measures and Personality Trait by Ali Imron, Siti Nurhayati, Nur Choirul Afif

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Methodological Accounting of the Ecosystem Services Benefits of Community-based Restoration by Sony Baral, Aayoush Raj Regmi, Khagendra P. Joshi, Kishor Atreya

“…This study systematically reviews the cost and benefit parameters used in BCA and highlights the limitations in accounting for the social benefits of community-based forest restoration programmes. Of a total of 500 research articles, 41 met our inclusion criteria, with only 11 focusing on community-managed projects. …”
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Corrigendum to “Bolt Detection Signal Analysis Method Based on ICEEMD” by Chunhui Guo, Zhan Zhang, Xie Xin, Zhengyu Yang

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Cloud data anonymous assured deletion approach based on blockchain by Shuangxing WANG, Jintang LUO, Lisha SHUAI, Jiamin ZHANG, Min ZHANG, Xiaolong YANG

“…The previous assured deletion schemes ignored that the privacy is threated by the relevance between data and user identity, exposing user behavior to the cloud service provider or attackers.Aiming at the above problems, an assured deletion approach based on blockchain was proposed.The improved linkable ring signature scheme was adopted to make user achieve anonymous assured deletion by setting specific link symbol in the signature.Moreover, the blockchain technology was leveraged to guarantee the nonrepudiation of assured deletion.Theoretical analysis and experimental results show that the proposed approach can meet the assured deletion requirements of user data in cloud storage, and its anonymity can effectively prevent attackers from tracking and analyzing user behavior.…”
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Rough decision rules extraction and reduction based on granular computing by Hong-can YAN, Feng ZHANG, Bao-xiang LIU

“…Rule mining was an important research content of data mining,and it was also a hot research topic in the fields of decision support system,artificial intelligence,recommendation system,etc,where attribute reduction and minimal rule set extraction were the key links.Most importantly,the efficiency of extraction was determined by its application.The rough set model and granular computing theory were applied to the decision rule reduction.The decision table was granulated by granulation function,the grain of membership and the concept granular set construction algorithm gener-ated the initial concept granular set.Therefore,attribute reduction could be realized by the distinguish operator of concept granule,and decision rules extraction could be achieved by visualization of concept granule lattice.Experimental result shows that the method is easier to be applied to computer programming and it is more efficient and practical than the existing methods.…”
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Quantitative Study of Load Stability of Quadrotor Based on Lyapunov Exponents by Tiantian Dong, Yonghong Zhang, Yunping Liu, Cheng Chen

“…This paper addresses the issue of dynamic instability in quadrotor caused by changes in load mass during flight. To tackle this problem, the Lyapunov exponent method is adopted to study the dynamics and motion stability of the system. …”
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