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Visual commonsense reasoning with directional visual connections Research Articles
Yahong Han, Aming Wu, Linchao Zhu, Yi Yang,yahong@tju.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 5, Pages 615-766 doi: 10.1631/FITEE.2000722
Keywords： 视觉常识推理；有向连接网络；视觉神经元连接；情景化连接；有向连接
Study on dynamic responses of connectors of modular offshore platform
He Xiaohui,Wang Jingquan,Sun Hongcai,Li Feng
Strategic Study of CAE 2010, Volume 12, Issue 11, Pages 98-104
A rigid module rigid connector(RMRC) model is used to study the dynamic characteristics of connectors of modular offshore platform. It is assumed that the modular offshore platform is a whole structure and the connector loads are simplied as the corresponding section loads is deduced using the Three-Dimensional Potential Theory by means of the assumption—High Encounter Frequency with Low Sailing Speed. 2 sea state cases, 4 structure sizes, and 7 wave angle connectors are calculated gaining the dynamic responses and sea states of connectors,and the regularity and relationship between configuration sizes and wave angles which is useful to design and utilization of connectors.
Keywords： modular offshore platform connector dynamic responses
Neural Mechanisms of Mental Fatigue Revisited: New Insights from the Brain Connectome Review
Peng Qi, Hua Ru, Lingyun Gao, Xiaobing Zhang, Tianshu Zhou, Yu Tian, Nitish Thakor, Anastasios Bezerianos, Jinsong Li, Yu Sun
Engineering 2019, Volume 5, Issue 2, Pages 276-286 doi: 10.1016/j.eng.2018.11.025
Maintaining sustained attention during a prolonged cognitive task often comes at a cost: high levels of mental fatigue. Heuristically, mental fatigue refers to a feeling of tiredness or exhaustion, and a disengagement from the task at hand; it manifests as impaired cognitive and behavioral performance. In order to effectively reduce the undesirable yet preventable consequences of mental fatigue in many real-world workspaces, a better understanding of the underlying neural mechanisms is needed, and continuous efforts have been devoted to this topic. In comparison with conventional univariate approaches, which are widely utilized in fatigue studies, convergent evidence has shown that multivariate functional connectivity analysis may lead to richer information about mental fatigue. In fact, mental fatigue is increasingly thought to be related to the deviated reorganization of functional connectivity among brain regions in recent studies. In addition, graph theoretical analysis has shed new light on quantitatively assessing the reorganization of the brain functional networks that are modulated by mental fatigue. This review article begins with a brief introduction to neuroimaging studies on mental fatigue and the brain connectome, followed by a thorough overview of connectome studies on mental fatigue. Although only a limited number of studies have been published
thus far, it is believed that the brain connectome can be a useful approach not only for the elucidation of underlying neural mechanisms in the nascent field of neuroergonomics, but also for the automatic detection and classification of mental fatigue in order to address the prevention of fatigue-related human error in the near future.
Keywords： Mental fatigue Functional connectivity Graph theoretical analysis Brain network
Analysis of Sound Radiation of Two ConnectedElastic Rectangular Enclosure
Yao Haoping,Zhang Jianrun,Chen Nan,Sun Qinghong
Strategic Study of CAE 2007, Volume 9, Issue 3, Pages 41-46
The model of sound radiated from two connected rectangular enclosures consisting of one elastically supported flexible panel and five rigid panels is deduced by using Hamiltonian function and Rayleigh -Ritz method in this paper. By means of artificial springs along connected points of flexible panels, this model allows the consideration of a wide variety structure joint conditions. Numerical results on the radiation of sound are presented. These results are intended to investigate two main issues:one is that the direct force affects the radiation of sound more than the indirect force does, the other is that the translational stiffness at connected points affects the radiation of sound more than the rotational stiffness does.
Keywords： the radiation of sound connection rectangular enclosure coupling
The Dynamic Functional Network Connectivity Analysis Framework
Zening Fu, Yuhui Du, Vince D. Calhoun
Engineering 2019, Volume 5, Issue 2, Pages 190-193 doi: 10.1016/j.eng.2018.10.001
FrepJoin: an efficient partition-based algorithm for edit similarity join Article
Ji-zhou LUO, Sheng-fei SHI, Hong-zhi WANG, Jian-zhong LI
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10, Pages 1499-1510 doi: 10.1631/FITEE.1601347
Keywords： String similarity join Edit distance Filter and refine Data partition Combined frequency vectors
Networking Architecture and Development Trend of Industrial Internet
Yu Xiaohui, Zhang Hengsheng, Peng Yan, Li Dong
Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 79-84 doi: 10.15302/J-SSCAE-2018.04.013
As one of the three main function aspects of the industrial Internet, networks provide infrastructure for the all-round interconnection of industrial elements. The existing "two-layer and three-level" industrial network is difficult to meet the development needs of the new models and services of the industrial Internet. The emerging network technologies can promote the evolution of the network architecture. The intra-factory network is developing in directions of integration, openness, and flexibility. The services of the extra-factory network are universal, refined, and flexible. At the end, the paper describes the networking framework of the industrial Internet, and suggests that industrial enterprises build intra-factory networks according to requirements for business, real-time performance, transmission methods, etc., and build extra-factory external networks by selecting three dedicated lines and one networking mode according to development requirements of different services.
Keywords： intra-factory network extra-factory network openness integration
Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition Research Articles
Supaporn LONAPALAWONG, Jiangzhe YAN, Jiayu LI, Deshi YE, Wei CHEN, Yong TANG, Yanhao HUANG, Can WANG,11821132@zju.edu.cn,wcan@zju.edu.cn
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3, Pages 382-397 doi: 10.1631/FITEE.2000596
Keywords： Network robustness Cascading failure Average propagation Algebraic connectivity Power grid
Multi-Objective Optimization Design through Machine Learning for Drop-on-Demand Bioprinting Article
Jia Shi, Jinchun Song, Bin Song, Wen F. Lu
Engineering 2019, Volume 5, Issue 3, Pages 586-593 doi: 10.1016/j.eng.2018.12.009
Drop-on-demand (DOD) bioprinting has been widely used in tissue engineering due to its highthroughput efficiency and cost effectiveness. However, this type of bioprinting involves challenges such as satellite generation, too-large droplet generation, and too-low droplet speed. These challenges reduce the stability and precision of DOD printing, disorder cell arrays, and hence generate further structural errors. In this paper, a multi-objective optimization (MOO) design method for DOD printing parameters through fully connected neural networks (FCNNs) is proposed in order to solve these challenges. The MOO problem comprises two objective functions: to develop the satellite formation model with FCNNs; and to decrease droplet diameter and increase droplet speed. A hybrid multi-subgradient descent bundle method with an adaptive learning rate algorithm (HMSGDBA), which combines the multisubgradient descent bundle (MSGDB) method with Adam algorithm, is introduced in order to search for the Pareto-optimal set for the MOO problem. The superiority of HMSGDBA is demonstrated through comparative studies with the MSGDB method. The experimental results show that a single droplet can be printed stably and the droplet speed can be increased from 0.88 to 2.08 m·s-1 after optimization with the proposed method. The proposed method can improve both printing precision and stability, and is useful in realizing precise cell arrays and complex biological functions. Furthermore, it can be used to obtain guidelines for the setup of cell-printing experimental platforms.
Keywords： Drop-on-demand printing Inkjet printing Gradient descent multi-objective optimization Fully connected neural networks
Dynamic aspects of domination networks Personal View
Yu-xian LIU, Ronald ROUSSEAU
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4, Pages 635-648 doi: 10.1631/FITEE.1800553
Keywords： Domination Power structure Digraphs Network dynamics
Pricing Based Adaptive Call Admission Control Algorithm for Wireless Networks
Zhang Xue
Strategic Study of CAE 2006, Volume 8, Issue 4, Pages 32-38
In order to efficiently and effectively control the use of wireless network resources, in this paper, according to the characteristic of adaptive multimedia applications in which bandwidths can be adjusted dynamically, and the influence of pricing on the users' behavior, an adaptive admission control algorithm integrated with pricing is proposed. The algorithm, in with the price is adjusted dynamically based on the current network conditions, is fit for the multi-priorilies services. Attempt is tried to make best balance between the efficiency and simplicity for the pricing scheme. Comparison of the performance of the proposed approach is made with the corresponding results of conventional systems where pricing is not taken into consideration in CAC process. The performance results verify the considerable improvement achieved by the integration of pricing with CAC in wireless networks.
Keywords： wireless networks adaptive call admission control microeconomic theory pricing connection level QoS
Zi-quan YU, Zhi-xiang LIU, You-min ZHANG, Yao-hong QU, Chun-yi SU
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5, Pages 685-700 doi: 10.1631/FITEE.1800569
In this paper, a decentralized fault-tolerant cooperative control scheme is developed for multiple unmanned aerial vehicles (UAVs) in the presence of actuator faults and a directed communication network. To counteract in-flight actuator faults and enhance formation flight safety, neural networks (NNs) are used to approximate unknown nonlinear terms due to the inherent nonlinearities in UAV models and the actuator loss of control effectiveness faults. To further compensate for NN approximation errors and actuator bias faults, the disturbance observer (DO) technique is incorporated into the control scheme to increase the composite approximation capability. Moreover, the prediction errors, which represent the approximation qualities of the states induced by NNs and DOs to the measured states, are integrated into the developed fault-tolerant cooperative control scheme. Furthermore, prescribed performance functions are imposed on the attitude synchronization tracking errors, to guarantee the prescribed synchronization tracking performance. One of the key features of the proposed strategy is that unknown terms due to the inherent nonlinearities in UAVs and actuator faults are compensated for by the composite approximators constructed by NNs, DOs, and prediction errors. Another key feature is that the attitude synchronization tracking errors are strictly constrained within the prescribed bounds. Finally, simulation results are provided and have demonstrated the effectiveness of the proposed control scheme.
Keywords： Fault-tolerant control Decentralized control Prescribed performance Unmanned aerial vehicle Neural network Disturbance observer Directed topology
Some Theoretical Issues on Procedure Neural Networks
He Xingui,Liang Jiuzhen
Strategic Study of CAE 2000, Volume 2, Issue 12, Pages 40-44
In this paper, a novel artificial neuron model-procedure neuron model is proposed, in which the inputs are functions or procedures associated with ‘ time´. Based on these neurons, a model named procedure neural network, which is also a feedforward network with only one hidden layer, is constructed. The authors call this neural network as Procedure Neural Network (PNN) expanded on certain base functions. The related continuity, function approximation ability and computational capability theorems are proved.
Keywords： procedure neural networks function approximation ability computational capability continuity
A Feasibility Study of Power Generation from Sewage Using a Hollowed Pico-Hydraulic Turbine
Tomomi Uchiyama, Satoshi Honda, Tomoko Okayama, Tomohiro Degawa
Engineering 2016, Volume 2, Issue 4, Pages 510-517 doi: 10.1016/J.ENG.2016.04.007
This study is concerned with the feasibility of power generation using a pico-hydraulic turbine from sewage flowing in pipes. First, the sewage flow rate at two connection points to the Toyogawa River-Basin Sewerage, Japan, was explored for over a year to elucidate the hydraulic energy potential of the sewage. Second, the performance of the pico-hydraulic turbine was investigated via laboratory experiments that supposed the turbine to be installed in the sewage pipe at the connection points. This study indicates that the connection points have hydraulic potential that can be used for power generation throughout the year. It also demonstrates that the pico-hydraulic turbine can be usefully employed for power generation from sewage flowing in the pipe at the connection points.
Keywords： Pico-hydraulic turbine Sewage Power generation Connection point Hydraulic potential
Development of Laser Cutting and Joining Processing
Chen Li, Gong Shuili, He Enguang
Strategic Study of CAE 2020, Volume 22, Issue 3, Pages 78-84 doi: 10.15302/J-SSCAE-2020.03.012
Laser cutting and joining technology is indispensable as an advanced manufacturing technology owing to its comprehensive advantages of flexibility, high efficiency, and high quality; and it has a profound impact on the manufacturing industry. With the intelligentization of advanced manufacturing, the laser cutting and joining technology will be surely promoted by the integration of laser technology and digital manufacturing technology. This study selects and analyzes four specific technologies that are most widely used in industry to summarize the application status of the laser joining and cutting technology, namely, laser welding, laser cutting, laser drilling, and laser marking. The problems faced by the development of the laser joining and cutting technology are discussed. The study shows that the development of laser cutting and joining technology should focus on the integration of the fundamental processes and equipment so as to improve key technologies in laser processing unit, laser materials processing, and intelligent integration. Moreover, research platforms for fundamental processes should be strengthened, with a focus on multi-dimensional combination of technological innovation and talent training. This will promote the coordinated development of the laser cutting and joining technology from application development to equipment market guarantee.
Keywords： laser material processing laser welding laser cutting laser drilling laser marking
Title Author Date Type Operation
Visual commonsense reasoning with directional visual connections
Yahong Han, Aming Wu, Linchao Zhu, Yi Yang,yahong@tju.edu.cn
Journal Article
Study on dynamic responses of connectors of modular offshore platform
He Xiaohui,Wang Jingquan,Sun Hongcai,Li Feng
Journal Article
Neural Mechanisms of Mental Fatigue Revisited: New Insights from the Brain Connectome
Peng Qi, Hua Ru, Lingyun Gao, Xiaobing Zhang, Tianshu Zhou, Yu Tian, Nitish Thakor, Anastasios Bezerianos, Jinsong Li, Yu Sun
Journal Article
Analysis of Sound Radiation of Two ConnectedElastic Rectangular Enclosure
Yao Haoping,Zhang Jianrun,Chen Nan,Sun Qinghong
Journal Article
The Dynamic Functional Network Connectivity Analysis Framework
Zening Fu, Yuhui Du, Vince D. Calhoun
Journal Article
FrepJoin: an efficient partition-based algorithm for edit similarity join
Ji-zhou LUO, Sheng-fei SHI, Hong-zhi WANG, Jian-zhong LI
Journal Article
Networking Architecture and Development Trend of Industrial Internet
Yu Xiaohui, Zhang Hengsheng, Peng Yan, Li Dong
Journal Article
Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition
Supaporn LONAPALAWONG, Jiangzhe YAN, Jiayu LI, Deshi YE, Wei CHEN, Yong TANG, Yanhao HUANG, Can WANG,11821132@zju.edu.cn,wcan@zju.edu.cn
Journal Article
Multi-Objective Optimization Design through Machine Learning for Drop-on-Demand Bioprinting
Jia Shi, Jinchun Song, Bin Song, Wen F. Lu
Journal Article
Pricing Based Adaptive Call Admission Control Algorithm for Wireless Networks
Zhang Xue
Journal Article
Decentralized fault-tolerant cooperative control of multipleUAVs with prescribed attitude synchronization tracking performance under directed communication topology
Zi-quan YU, Zhi-xiang LIU, You-min ZHANG, Yao-hong QU, Chun-yi SU
Journal Article
A Feasibility Study of Power Generation from Sewage Using a Hollowed Pico-Hydraulic Turbine
Tomomi Uchiyama, Satoshi Honda, Tomoko Okayama, Tomohiro Degawa
Journal Article
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