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Measurement and analysis of content diffusion characteristics in opportunity environments with Spark Research Article
Xiao-hong Zhang, Kai Qian, Jian-ji Ren, Zong-pu Jia, Tian-peng Jiang, Quan Zhang,xh.zhang@hpu.edu.cn,renjianji@hpu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 10, Pages 1404-1414 doi: 10.1631/FITEE.1900137
Keywords： 内容传播；设备通信；机会网络；线性阈值模型
The application of advanced threshold denoising tothe MMW target radiation signal
Fan Qinghui,Li Xingguo
Strategic Study of CAE 2008, Volume 10, Issue 7, Pages 153-157
In this paper based on the characteristics of millimeter wave radiation signal for wavelet transform, non-negative wavelet coefficient is used as the wavelet coefficient of the signal. For a given threshold value, the wavelet coefficient which is smaller than the threshold is set zero and the wavelet coefficient which is larger than the threshold is set the difference between the coefficient and a constant a.The method for valuing a is inferred by the variance function of signal, and the experiments show that it has good ability of removing the noise in MMW target radiation signal.
Keywords： The application of advanced threshold denoising tothe MMW target radiation signal
Parameter estimation in exponential models by linear and nonlinear fitting methods Article
Ping YANG,Chao-peng WU,Yi-lu GUO,Hong-bo LIU,Hui HUANG,Hang-zhou WANG,Shu-yue ZHAN,Bang-yi TAO,Quan-quan MU,Qiang WANG,Hong SONG
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 3, Pages 434-444 doi: 10.1631/FITEE.1601683
Keywords： Exponential model Parameter estimation Linear least squares Nonlinear fitting
Full scale model tests and nonlinear analysis of prestressed concretesimply supported box girders
Fang Zhi,Tang Shenghua,He Xin
Strategic Study of CAE 2012, Volume 14, Issue 10, Pages 73-81
Full scale model tests were carried out on a 30 m span prestressed concrete box girder and a 20 m span prestressed concrete hollow slab. Failure models were prestressed reinforcement tensile failure and crushing of roof concrete, respectively. The ductility indexes of the box girder and hollow slab were 1.99, 1.23, respectively according to the energy viewpoint. Based on the horizontal section hypothesis, the nonlinear computation procedure was established using the limited banding law, and it could carry out the entire performance analysis including the unloading, mainly focusing on how to achieve the unloading curves computation through stress-strain, moment-curvature and load-displacement curves. Through the procedure, parameters that influence on the bearing capacity, deformation performance and ductility of the structures were analyzed. Those parameters were quantity of prestressed reinforcement and tension coefficients of prestressed reinforcement.
Keywords： prestressed concrete box girder full scale model test nonlinear analysis bearing capacity ductility
Nonlinear restoring force identification based on measured time series
Xu Bin,He Jia
Strategic Study of CAE 2011, Volume 13, Issue 9, Pages 76-82
In this study, a general nonlinear restoring force (NRF) identification approach using structural dynamic response measurements and complete excitations is proposed at first. In this approach, the least-squares technique is employed to identify the parameters of an equivalent linear system of the nonlinear structure model based on the external excitations and the corresponding response measurements. The proposed approach is developed when the structure to be identified is incompletely excited. Both of the approaches are validated with a 4-story frame structure equipped with smart devices of magneto-rheological (MR) damper to simulate nonlinear performance. The identified NRF of the structure is compared with the test measurements. Results show that the proposed data-based approaches are capable of identifying the nonlinear restoring behavior of engineering structures and have the potential to be employed to evaluate the damage initiation and development procedure of engineering structures under dynamic loads.
Keywords： nonlinear restoring force identification MR damper least-squares techniques equivalent linear system non-parametric model
Global Optimization of Nonlinear Blend-Scheduling Problems
Pedro A. Castillo Castillo Pedro M. Castro,Vladimir Mahalec
Engineering 2017, Volume 3, Issue 2, Pages 188-201 doi: 10.1016/J.ENG.2017.02.005
The scheduling of gasoline-blending operations is an important problem in the oil refining industry. This problem not only exhibits the combinatorial nature that is intrinsic to scheduling problems, but also non-convex nonlinear behavior, due to the blending of various materials with different quality properties. In this work, a global optimization algorithm is proposed to solve a previously published continuous-time mixed-integer nonlinear scheduling model for gasoline blending. The model includes blend recipe optimization, the distribution problem, and several important operational features and constraints. The algorithm employs piecewise McCormick relaxation (PMCR) and normalized multiparametric disaggregation technique (NMDT) to compute estimates of the global optimum. These techniques partition the domain of one of the variables in a bilinear term and generate convex relaxations for each partition. By increasing the number of partitions and reducing the domain of the variables, the algorithm is able to refine the estimates of the global solution. The algorithm is compared to two commercial global solvers and two heuristic methods by solving four examples from the literature. Results show that the proposed global optimization algorithm performs on par with commercial solvers but is not as fast as heuristic approaches.
Keywords： Global optimization Nonlinear gasoline blending Continuous-time scheduling model Piecewise linear relaxations
Nonlinear Model-Based Process Operation under Uncertainty Using Exact Parametric Programming
Vassilis M. Charitopoulos,Lazaros G. Papageorgiou,Vivek Dua
Engineering 2017, Volume 3, Issue 2, Pages 202-213 doi: 10.1016/J.ENG.2017.02.008
In the present work, two new, (multi-)parametric programming (mp-P)-inspired algorithms for the solution of mixed-integer nonlinear programming (MINLP) problems are developed, with their main focus being on process synthesis problems. The algorithms are developed for the special case in which the nonlinearities arise because of logarithmic terms, with the first one being developed for the deterministic case, and the second for the parametric case (p-MINLP). The key idea is to formulate and solve the square system of the first-order Karush-Kuhn-Tucker (KKT) conditions in an analytical way, by treating the binary variables and/or uncertain parameters as symbolic parameters. To this effect, symbolic manipulation and solution techniques are employed. In order to demonstrate the applicability and validity of the proposed algorithms, two process synthesis case studies are examined. The corresponding solutions are then validated using state-of-the-art numerical MINLP solvers. For p-MINLP, the solution is given by an optimal solution as an explicit function of the uncertain parameters.
Keywords： Parametric programming Uncertainty Process synthesis Mixed-integer nonlinear programming Symbolic manipulation
A maximum reliable network interdiction model with limited resources
Zhao Jia and Yu Hua
Strategic Study of CAE 2015, Volume 17, Issue 1, Pages 137-142
This paper proposes a maximum reliable network interdiction model， which is to maximize the reliability of an interdicting network with limited resources by setting sensors in arcs to prevent any flow between given two nodes in a given graph even though some sensors could be failed， i.e.， given a directed graph with a source and a sink， several arcs need to be selected such that each path from the source to the sink contains as many arcs in the selected subset as possible. In any given graph， the number of paths between any given two nodes is exponential to the size of this graph， so this model is transferred to a bilevel program. We solve this bilevel integer program by finding out the relationship between the lower level integer program and its linear program relaxation， also using the duality theory because a bilevel program is intractable in common sense. Lastly， we reduce the number of the constraint to one order of the size of the graph from its exponential order. Besides， we also demonstrate an approach to resolve the bilevel program.
Keywords： interdiction model；k-reliability； duality； linear programming relaxation； complementary slackness
A numerical wave model with weak nonlinearity and its application ability analysis
Liu Zhongbo,Tang Jun
Strategic Study of CAE 2010, Volume 12, Issue 9, Pages 96-100
Based on the extended Boussinesq equation with weak nonlinearity, 2-D numerical model was established in nonstaggered grids by the finite difference method. The nonstaggered grids were used with the first-order spatial derivatives being discretized by the fourth-order and the second-order terms discertized by the second-order. For the time derivatives, a composite fourth-order accurate Adams-Bashforth Moulton scheme was used. Numerical simulation was done upon one-dimension and two-dimension wave propagations problem, and through the comparisons of numerical results with the related experimental data, the application of the extended Boussinesq equations were investigated.
Keywords： numerical model application ability wave
Principle and status of technique of smoothed particle hydrodynamics and heat conduction model
Wang Yuheng,Liu Feng,Song Fengmei
Strategic Study of CAE 2008, Volume 10, Issue 11, Pages 47-51
The article is a summary about the basic theory and the developing status of technique of smoothed particle hydrodynamics (SPH).Two typical examples of two dimensions nonlinear dynamics have been simulated numerically by SPH in the article. Otherwise, the SPH model on heat conduction problem has been discussed.
Keywords： SPH two dimensions nonlinear dynamics heat conduction model numerical simulations
Beyond Pasteur’s Quadrant Model: A New Dynamic Model of Basic Research and its Implementation
Zhang Huiqin, Wang Xin, Wang Xu, Sun Changpu
Strategic Study of CAE 2021, Volume 23, Issue 4, Pages 145-152 doi: 10.15302/J-SSCAE-2021.04.017
Basic research inspired by national interest is critical for the promotion of China’s innovation capacity and global competitiveness in science and technology; it is also a major driving force for disruptive technologies. Therefore, the concept and development law of basic research inspired by national interest should be well studied to guide the development of basic research. In this study, we review the connotation and application of the linear model of innovation proposed by Vannevar Bush and the Pasteur’s quadrant model proposed by Donald Stokes. Based on these models, we introduce basicness and useness dimensions along with a time dimension and develop a new three-dimensional dynamic model of basic research. The development of intense lasers fits this new model well and clearly demonstrates the spiral upward interactions among basic research, applied research, and technology development inspired by national interest. On the basis of this new model of basic research development, we emphasize the importance of falsifiability and research integrity, and the decisive role of basic research on the key technologies. Besides, the subjective misguidance of researches inspired by national interest should be avoided.
Keywords： basic research research inspired by demand Bush’s linear model of innovation Pasteur’s quadrant model dynamic model of basic research falsifiability
Le-Dong Zhu, Xiao-Liang Meng, Lin-Qing Du, Ming-Chang Ding
Engineering 2017, Volume 3, Issue 6, Pages 854-862 doi: 10.1016/j.eng.2017.06.001
Wind-tunnel tests of a large-scale sectional model with synchronous measurements of force and vibration responses were carried out to investigate the nonlinear behaviors of vertical vortex-induced forces (VIFs) on three typical box decks (i.e., fully closed box, centrally slotted box, and semi-closed box). The mechanisms of the onset, development, and self-limiting phenomenon of the vertical vortex-induced vibration (VIV) were also explored by analyzing the energy evolution of different vertical VIF components and their contributions to the vertical VIV responses. The results show that the nonlinear components of the vertical VIF often differ from deck to deck; the most important components of the vertical VIF, governing the stable amplitudes of the vertical VIV responses, are the linear and cubic components of velocity contained in the self-excited aerodynamic damping forces. The former provides a constant negative damping ratio to the vibration system and is thus the essential power driving the development of the VIV amplitude, while the latter provides a positive damping ratio proportional to the square of the vibration velocity and is actually the inherent factor making the VIV amplitude self-limiting. On these bases, a universal simplified nonlinear mathematical model of the vertical VIF on box decks of bridges is presented and verified in this paper; it can be used to predict the stable amplitudes of the vertical VIV of long-span bridges with satisfactory accuracy.
Keywords： Box deck of bridge Vertical vortex-induced vibration Vertical vortex-induced force Simplified nonlinear model Wind-tunnel test Large-scale sectional model Synchronous measurement of force and vibration
Application of Genetic Algorithm in the Optimization of Parameters in Engineering Blasting
Xu Hongtao,Lu Wenbo
Strategic Study of CAE 2005, Volume 7, Issue 1, Pages 76-80
The optimization of blasting parameters in engineering blasting is a complicated nonlinear programming problem. Based on the mathematical model of blasting optimization in open pit mine, the optimization problem is solved with genetic algorithm in this paper, and the feasibility and high effectiveness of optimizing blasting parameters with genetic algorithm are proved by the results. It has provided a new effective approach for solving this problem.
Keywords： engineering blasting mining optimization mathematical model nonlinear programming genetic algorithm
DDUC: an erasure-coded system with decoupled data updating and coding Research Article
Xiang LI, Yibing LI, Chunrui TANG, Yingsong LI,chunruitang@126.com
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 5, Pages 742-758 doi: 10.1631/FITEE.2200253
Keywords： Signal noise elimination Deep adaptive threshold learning network Multi-scale feature fusion Modulation recognition
Improved Matching Algorithms for Linear Face Class Model
Fu Yun,Zheng Nanning
Strategic Study of CAE 2005, Volume 7, Issue 2, Pages 47-56
An advanced matching technique for linear face class model is proposed, which can solve the problem of detailed controlling and robust iteration for the realistic facial modeling. A new method——Dynamic Gaussian Pyramid Analysis (DGPA), which combines Non-Uniform Sampling (NUS) method and Multi-Resolution Analysis, is presented. Integrating the PS Sampling and the Cluster Random Sampling, the distribution of the sampled points in each level images of the Gaussian pyramid is adjusted dynamically. In coarse-to-fine scheme, the minimization algorithm is used to compute the near global optimal solution that may fit to yield accurate model matching. Dynamic adjusting the boundary of the sampling cluster area and the resampling ratio, the detailed representations are effectively controlled, and the model creation is quite robust. An improved Stochastic Gradient Descent (SGD) algorithm based on the Correlative Disturbance (CD) and Adaptive Learning Rate (ALR) is exploited to accelerate iteration convergence and compute valid model parameters. With the examples of MPI Caucasian Face and AI&R Asian Face databases, experimental results in subjective evaluation and objective evaluation demonstrate the advanced model matching technique.
Keywords： facial modeling model matching stochastic gradient descent non-uniform sampling multiresolution analysis
Title Author Date Type Operation
Measurement and analysis of content diffusion characteristics in opportunity environments with Spark
Xiao-hong Zhang, Kai Qian, Jian-ji Ren, Zong-pu Jia, Tian-peng Jiang, Quan Zhang,xh.zhang@hpu.edu.cn,renjianji@hpu.edu.cn
Journal Article
The application of advanced threshold denoising tothe MMW target radiation signal
Fan Qinghui,Li Xingguo
Journal Article
Parameter estimation in exponential models by linear and nonlinear fitting methods
Ping YANG,Chao-peng WU,Yi-lu GUO,Hong-bo LIU,Hui HUANG,Hang-zhou WANG,Shu-yue ZHAN,Bang-yi TAO,Quan-quan MU,Qiang WANG,Hong SONG
Journal Article
Full scale model tests and nonlinear analysis of prestressed concretesimply supported box girders
Fang Zhi,Tang Shenghua,He Xin
Journal Article
Nonlinear restoring force identification based on measured time series
Xu Bin,He Jia
Journal Article
Global Optimization of Nonlinear Blend-Scheduling Problems
Pedro A. Castillo Castillo Pedro M. Castro,Vladimir Mahalec
Journal Article
Nonlinear Model-Based Process Operation under Uncertainty Using Exact Parametric Programming
Vassilis M. Charitopoulos,Lazaros G. Papageorgiou,Vivek Dua
Journal Article
A maximum reliable network interdiction model with limited resources
Zhao Jia and Yu Hua
Journal Article
A numerical wave model with weak nonlinearity and its application ability analysis
Liu Zhongbo,Tang Jun
Journal Article
Principle and status of technique of smoothed particle hydrodynamics and heat conduction model
Wang Yuheng,Liu Feng,Song Fengmei
Journal Article
Beyond Pasteur’s Quadrant Model: A New Dynamic Model of Basic Research and its Implementation
Zhang Huiqin, Wang Xin, Wang Xu, Sun Changpu
Journal Article
A Simplified Nonlinear Model of Vertical Vortex-Induced Force on Box Decks for Predicting Stable Amplitudes of Vortex-Induced Vibrations
Le-Dong Zhu, Xiao-Liang Meng, Lin-Qing Du, Ming-Chang Ding
Journal Article
Application of Genetic Algorithm in the Optimization of Parameters in Engineering Blasting
Xu Hongtao,Lu Wenbo
Journal Article
DDUC: an erasure-coded system with decoupled data updating and coding
Xiang LI, Yibing LI, Chunrui TANG, Yingsong LI,chunruitang@126.com
Journal Article
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