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A Short-Term Photovoltaic Power Generation Forecast Method Based on LSTM Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-22 Yang Li; Feng Ye; Zihao Liu; Zhijian Wang; Yupeng Mao
The intermittence and fluctuation of photovoltaic power generation seriously affect output power reliability, efficiency, fault detection of photovoltaic power grid, etc. The precise forecasting of photovoltaic power generation is the critical method to solve the above limitations. Current photovoltaic power generation forecasting methods generally usually adopt meteorological data and historical continuous
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An Adaptability Analysis of the Space-Vehicle Traffic State Estimation Model for Sparsely Distributed Observation Environment Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-22 Han Yang; Qing Yu
The autonomous driving has shown its enormous potential to become the new generation of transportation in the last decade. Based on the automated technology, vehicles can drive in a new form, vehicle platoon, which can significantly increase the efficiency of the road system and save road resources. The space-vehicle traffic state estimation model has shown its benefits in modeling autonomous vehicle
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A Cross-Domain Service Function Chain Deployment Scheme Based on Bargaining Game Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-22 Guoyan Li; Yajuan Ren; Yi Liu
Software-defined networking (SDN) and network function virtualization (NFV) technologies provide support for service function chain (SFC) deployment. As the scale of a network expands, SDN domains are maintained and managed by their respective network operators. When deploying an SFC in multiple domains, to protect the privacy of each domain is challenging. We propose a cross-domain SFC deployment
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Automatic Selection and Parameter Configuration of Big Data Software Core Components Based on Retention Pattern Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-22 Ping Xu
This paper conducts an in-depth analysis and research on the automatic selection and parameter configuration of the core components of Big Data software by using the retention model and the automatic selection of Big Data components by establishing a standardized requirement index and using the decision tree model to solve the problem of component selection in Big Data application development. By establishing
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Method for Identifying Stator and Rotor Faults of Induction Motors Based on Machine Vision Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-22 Lipeng Wei; Xiang Rong; Haibo Wang; Shuohang Yu; Yang Zhang
The detection results need to be analyzed and distinguished by professional technicians in the fault detection methods for induction motors based on signal processing and it is difficult to realize the automatic identification of stator and rotor faults. A method for identifying stator and rotor faults of induction motors based on machine vision is proposed to solve this problem. Firstly, Park’s vector
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Hybridizing Beam Search with Tabu Search for the Irregular Packing Problem Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-21 Yunqing Rao; Peng Wang; Qiang Luo
The irregular packing problem involves arranging all the irregular pieces on a plate with the objective of maximizing the use of material. In this article, the layout is formed by the ordered sequence of the irregular pieces which is obtained by a hybrid search algorithm and where the order is decoded by a proposed placement principle. First, a novel no-fit-polygon (NFP) generator is introduced. Then
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A New Multicriteria Decision-Making Method for the Selection of Sponge City Schemes with Shapley–Choquet Aggregation Operators Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-21 Yuanying Chi; Guoqing Bai; Hua Dong
The construction of sponge cities is of great strategic significance to solving the urban water resource problem in the future. According to the policy guidance of sponge city construction, the evaluation index system of sponge city construction projects is constructed. In order to overcome the interference caused by the interaction between indexes, a nonadditive measure and Shapley function are combined
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A Fractal Prediction Method for Safety Monitoring Deformation of Core Rockfill Dams Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-21 Liang Pei; Jiankang Chen; Jingren Zhou; Huibao Huang; Zhengjun Zhou; Chen Chen; Fuhai Yao
Deformation mechanism in the core rockfill dams with heavy load and high-stress level is difficult to predict and control, which is one of the key problems to be solved in the dam operation safety management and control. Aiming at the large error problems obtained by the parameter-based functional models (regression model, grey theory model, etc.) in the deformation prediction of the core rockfill
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Square-Mean Pseudo Almost Periodic Solutions for Quaternion-Valued Stochastic Neural Networks with Time-Varying Delays Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-21 Yuanyuan Hou; Lihua Dai
In this paper, we are concerned with a class of quaternion-valued stochastic neural networks with time-varying delays. Firstly, we cannot explicitly decompose the quaternion-valued stochastic systems into equivalent real-valued stochastic systems; by using the Banach fixed point theorem and stochastic analysis techniques, we obtain some sufficient conditions for the existence of square-mean pseudo
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Rapid Identification and Quantitative Analysis of Polycarboxylate Superplasticizers Using ATR-FTIR Spectroscopy Combined with Chemometric Methods Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-21 Zhiwei Li; Bo Li; Zhizhong Zhao; Weizhong Ma; Wenju Li; Jiadong Wang
Although the quality inspection method of polycarboxylate superplasticizers (PCE) based on macroperformance is still widely used, it has the drawbacks of time-consuming and low precision. This study aims to develop a practicable alternative method for quality inspection of PCE. For this, spectra collection, feature extraction, and cluster analysis were performed up on the PCE samples to demonstrate
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Three-Dimensional Fourth-Order Time-Fractional Parabolic Partial Differential Equations and Their Analytical Solution Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-21 Yesuf Obsie Mussa; Ademe Kebede Gizaw; Ayana Deressa Negassa
In this study, the fractional reduced differential transform method (FRDTM) is employed to solve three-dimensional fourth-order time-fractional parabolic partial differential equations with variable coefficients. The fractional derivative used in this study is in the Caputo sense. A few important lemmas which are essential to solve the problems using the proposed method are proved. The novelty of this
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Group Consensus of Heterogeneous Multiagent Systems with Time Delay Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-21 Weixun Li; Liqiong Zhang
In this paper, a neighbour-based control algorithm of group consensus is designed for a class of hybrid-based heterogeneous multiagent systems with communication time delay. We consider the statics leaders and active leaders, respectively. The original systems are transformed into new error systems by transformation. On the basis of the systems, applying Lyapunov stability theory and adopting the linear
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Study on Fracture and Permeability Characteristics of Unloading Rock with High Water Pressure Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-20 Zhi-tao Ma; Yong-qiang Cui; Ke-yu Lu; Dai-fu Song; Ya-chao Yang
Research on the damage and seepage characteristics of unloading rock with high water pressure can help to further understand the mechanism of water inrush in deep mine floor and prevent water inrush. This paper used the RFPA2D-flow finite element software to study the failure and seepage characteristics of unloading rock with high water pressure and high stress and comparatively analyzed the failure
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Response of Cantilever Model with Inertia Nonlinearity under Transverse Basal Gaussian Colored Noise Excitation Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-20 Bo Li; Kai Hu; Guoguang Jin; Yanyan Song; Gen Ge
Considering the curvature nonlinearity and longitudinal inertia nonlinearity caused by geometrical deformations, a slender inextensible cantilever beam model under transverse pedestal motion in the form of Gaussian colored noise excitation was studied. Present stochastic averaging methods cannot solve the equations of random excited oscillators that included both inertia nonlinearity and curvature
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Online Monitoring and Early Warning of Subsynchronous Oscillation Using Levenberg–Marquardt and Backpropagation Algorithm Combined with Sensitivity Analysis and Principal Component Analysis Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-20 Lingjie Wu; Ming Zhou; Yanwen Wang; Le Wang; Xu Tian
Over the past few years, with the access of large-scale new energy sources, the problem of subsynchronous oscillation (SSO) in power systems has presented a novel multisource and multitransformation form, which may be significantly threatening. Conventional control and protection methods primarily give rise to device protection actions in the presence of severe oscillation. On the whole, online monitoring
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Cleaning of Graphite Particles Embedded in the Surface of Ductile Iron by Using a Novel Method Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-20 Baoshen Jia; Xinxiang Miao; Yilan Jiang; Hongping Tang; Caizhen Yao
Ductile iron has unique mechanical property and has been widely used in many industrial applications, e.g., engine cylinder covers, crank axles, and machine tool beds and cams. The welding performance of ductile iron is normally influenced by graphite particles in the surface of ductile iron, which needs to be removed before welding. In this article, laser cleaning technique was developed to remove
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Risk and Income Evaluation Decision Model of PPP Project Based on Fuzzy Borda Method Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-20 Longbo Du; Jing Gao
In order to effectively analyze the risk-return decision-making model of PPP project by Yuan et al., (2020) this paper, based on the fuzzy Borda method and synergy effect theory, considers the synergistic effect of PPP project, constructs the model of investment risk sharing, incentive, and supervision punishment, and determines the investment risk sharing, incentive, and PPP project investment. This
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Admissibility Analysis and Controller Design for Discrete Singular Time-Delay Systems Embracing Uncertainties in the Difference and Systems’ Matrices Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-20 Chih-Peng Huang
This paper mainly investigates the admissibility analysis and the admissibilizing controller design for the uncertain discrete singular system with delayed state. Based on Lyapunov–Krasovskii stability theory, an original admissibility condition for the nominal singular delay system is first presented. By involving the uncertainties in both difference and system matrices simultaneously, we devote to
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Topic Relevance of Public Health Emergencies Influence on Internet Public Opinion Resonance: Simulation Based on Langevin’s Equation Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-20 Quan Cheng; Yan-gang Zhang; Yi-quan Li
Public health emergencies occurred frequently, which usually result in the negative Internet public opinion events. In the complex network information ecological environment, multiple public opinion events may be aggregated to generate public opinion resonance due to the topic category, the mutual correlation of the subject involved, and the compound accumulation of specific emotions. In order to reveal
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A Study on Online Scheduling Problem of Integrated Order Picking and Delivery with Multizone Vehicle Routing Method for Online-to-Offline Supermarket Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-19 Jun Zhang; Xueyan Zhang; Yanfang Zhang
The online order fulfillment of online-to-offline (O2O) supermarket faces the challenge in how to pick orders from thousands of products on the supermarket shelves and deliver them to customers in different zones and locations by a vehicle routing method within the lowest cost and shortest time. It is critical to integrate the order picking and delivery processes and schedule them jointly with a coordinated
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Prediction of Bending Force in the Hot Strip Rolling Process Using Multilayer Extreme Learning Machine Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-19 Yan Wu; Hongchao Ni; Xu Li; Feng Luan; Yaodong He
In the hot strip rolling process, accurate prediction of bending force can improve the control accuracy of the strip flatness and further improve the quality of the strip. In this paper, based on the production data of 1300 pieces of strip collected from a hot rolling factory, a series of bending force prediction models based on an extreme learning machine (ELM) are proposed. To acquire the optimal
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Congestion Prediction Based on Dissipative Structure Theory: A Case Study of Chengdu, China Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-19 Xiaoke Sun; Hong Chen; Yahao Wen; Zhizhen Liu; Hengrui Chen
With the continuous growth of traffic demand and the mismatch of urban transportation facilities, urban traffic congestion has been caused, leading to various related problems, such as environmental pollution, traffic accidents, and slow economic development. Many cities have implemented relevant measures to improve traffic congestion, but fewer are ideal. This study used the hidden Markov model combined
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Similarity Measures between Intuitionistic Fuzzy Credibility Sets and Their Multicriteria Decision-Making Method for the Performance Evaluation of Industrial Robots Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-19 Jun Ye; Shigui Du; Rui Yong
To enhance the credibility level/measure of an intuitionistic fuzzy set (IFS), this study proposes the notion of an intuitionistic fuzzy credibility set (IFCS) to express the hybrid information of a pair of a membership degree and a credibility degree and a pair of a nonmembership degree and a credibility degree. Next, we propose generalized distance and similarity measures between IFCSs and then further
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A Target-Oriented Multiple-Attribute Decision-Making Approach Based on Probabilistic Linguistic Preference Relations Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-19 Chun-Hao Li; Hui-Xin Ma; Yan-Hui Jia
While the approach to multiple-attribute decision-making (MADM) is widely used in a variety of fields, including models with fuzzy sets and corresponding extensions, it cannot solve target-oriented decision problems with both selective and targeted alternatives. Therefore, this study provides the first description of a target-oriented MADM problem and proposes a novel decision framework. An attribute
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An Exact Solution to the Quadratic Damping Strong Nonlinearity Duffing Oscillator Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-19 Alvaro H. Salas; S. A. El-Tantawy; Noufe H. Aljahdaly
The nonlinear equations of motion such as the Duffing oscillator equation and its family are seldom addressed in intermediate instruction in classical dynamics; this one is problematic because it cannot be solved in terms of elementary functions before. Thus, in this work, the stability analysis of quadratic damping higher-order nonlinearity Duffing oscillator is investigated. Hereinafter, some new
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A Multilevel Monte Carlo Method for the Valuation of Swing Options Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-19 Hakimeh Ghodssi-Ghassemabadi; Gholam Hossein Yari
In this study, we propose a novel approach for the valuation of swing options. Swing options are a kind of American options with multiple exercise rights traded in energy markets. Longstaff and Schwartz have suggested a regression-based Monte Carlo method known as the least-squares Monte Carlo (LSMC) method to value American options. In this work, first we introduce the LSMC method for the pricing
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Closed-Loop Equilibrium Reinsurance-Investment Strategy with Insider Information and Default Risk Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-19 Peng Yang
This paper studies the closed-loop equilibrium reinsurance-investment problem with insider information and default risk. The financial market consists of one risky asset, one defaultable bond, and one risk-free asset. The surplus process is governed by a jump-diffusion process. Two kinds of dependencies between the insurance market and the financial market are considered. In addition, the insurer has
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Removal of Cochannel Interference Using Probabilistic Latent Component Analysis in Passive Bistatic Radar Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-19 Tao Ying; Xuebao Wang; Wei Tian; Cheng Zhou
This paper examines the problem of cancellation of cochannel interference (CCI) present in the same frequency channel as the signal of interest, which may bring a reduction in the performance of target detection, in passive bistatic radar. We propose a novel approach based on probabilistic latent component analysis for CCI removal. The highlight is that removing CCI is considered as reconstruction
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Construction of Credit Evaluation Index System for Two-Stage Bayesian Discrimination: An Empirical Analysis of Small Chinese Enterprises Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-19 Zhanjiang Li; Lin Guo
In China, small enterprises have a direct role in economic growth, but they have difficulty in financing development. To address this problem, this paper creates a small business credit evaluation index using a two-stage Bayesian discriminant model. In the first stage, customers are distinguished by whether they are in default, and in the second stage, customers with continuing default are divided
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A Dynamic Intersecting Arrangement Model Based on Isolated Draw Zones for Stope Structure Optimization during Sublevel Caving Mining Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-19 Guanghui Li; Fengyu Ren; Hangxing Ding; Huan Liu; Mingzhi Sun; Guang Li
In this paper, stope structure optimization during sublevel caving mining is considered under the condition that the isolated draw zones (IDZs) are nonstandard ellipsoid, which is realized by dynamically adjusting the arrangement of IDZs and quantifying the degree of intersection of IDZs according to an ore profit and loss calculation model. A dynamic intersecting arrangement model based on IDZs was
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The Elimination Effect of Take-Back Regulation on Backward Production Capacity Remanufacturing Supply Chains Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-19 Bangyi Li; Xintong Chen; Shanting Wei; Yongbo Cheng
With more and more end-of-life products in daily life, many companies are engaging in remanufacturing, including backward production capacity (BPC) enterprises. Meanwhile, take-back regulation always asks the manufacturer to take back end-of-life products to reduce pollution. However, the effect of take-back regulation on remanufacturers remains unclear. In this paper, we first analyzed the take-back
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A Novel Method to Estimate the Sea State for Recycling Work on the Sea Surface Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-18 Haixu Zhang; Xiaosu Xu; Guangcai Wang; Yongyun Zhu
The recycling of marine exploration equipment after it has surfaced is greatly affected by sea state. In order to estimate the sea state in real time, this paper proposes a method for measuring wave elevation, which modifies the integrated results of GNSS/SINS in the up direction by virtual horizontal lines to extract wave fluctuation information. From these wave information, the significant wave heights
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Simulation Research on Trapped Oil Pressure of Involute Internal Gear Pump Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-18 Shanxin Guo; Xiangfeng Guan
The main structure of an internal gear pump consisted of an internal gear pair, including an internal gear and an external gear. The internal gear pump had oil trapping phenomenon like other hydraulic gear pumps. In order to solve the oil trapping phenomenon of involute gear pump with internal meshing tooth profile, in this paper, the mathematical equation of gear outer contour is established according
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Effect of Nanoparticles and Base Fluid Types on Natural Convection in a Three-Dimensional Cubic Enclosure Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-18 Abdellatif Dayf; M’barek Feddadoui; Said Bouchta; Adil Charef; Houssine El Ihssini
Convective heat transfer using nanofluids play an important role in thermal applications such as heat exchangers, automotive industries, and power generation. In this work, a numerical analysis is conducted to examine the heat transfer of nanofluid in three-dimensional differentially heated cavity. The finite volume method-based SIMPLEC algorithm is used to solve the system of the mass, momentum, and
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Shaking Table Tests on a New Antislide Pile under Earthquakes Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-18 Jie Lai; Yun Liu; Wei Wang
A retaining form of a shock-absorbing antislide pile is proposed for slope engineering. A flexible material (shock-absorption layer) is filled in front of an ordinary antislide pile, which is used to absorb a large amount of seismic energy, thereby decreasing the transmission of seismic energy to the antislide pile. The flexible material thus reduces the seismic response, hence improving the aseismic
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Fault-Tolerant Control for Three-Tank System in Case of Sensor Faults Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-18 Mondher Amor; Taoufik Ladhari; Salim Hadj Said; Faouzi M’Sahli
This research paper would be devoted to the application of a fault-tolerant control (FTC) for a benchmark system composed of three interconnected tanks in case of sensor faults. The control scheme includes two blocks: fault detection and isolation (FDI) block and a control law reconfiguration block. The strategy of the FDI method is based on a bank of high gain observers; each of them is constructed
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Mathematical Modelling of Lesser Date Moth Using Sex Pheromone Traps and Natural Enemies Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-18 Moustafa El-Shahed; Asmaa M. Al-Dubiban
In this paper, a mathematical model for lesser date moth is proposed and analyzed. The interaction between the date palm tree, lesser date moth, and natural enemy has been investigated. The impact of sex pheromone traps on lesser date moth is demonstrated. Some sufficient conditions are obtained to ensure the local and global stability of equilibrium points. The occurrence of local bifurcation near
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Dataset Denoising Based on Manifold Assumption Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-18 Zhonghua Hao; Shiwei Ma; Hui Chen; Jingjing Liu
Learning the knowledge hidden in the manifold-geometric distribution of the dataset is essential for many machine learning algorithms. However, geometric distribution is usually corrupted by noise, especially in the high-dimensional dataset. In this paper, we propose a denoising method to capture the “true” geometric structure of a high-dimensional nonrigid point cloud dataset by a variational approach
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Study on Spatial Imbalance and Determinants of E-Commerce Development in Zhejiang, China Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-18 Haidong Zhong; Jinhui Zhang; Shaozhong Zhang; Wen Zheng
As a world-famous and well-developed e-commerce region, the development of e-commerce in Zhejiang province has always attracted people’s wide attention. Based on publicly available e-commerce transaction-related data, basic geographic data, and regional economic and social development data, we use the Gini coefficient to measure the imbalance of e-commerce development in Zhejiang province during 2017–2019
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Adaptive Droop Control of a Multibus DC Microgrid Based on Consensus Algorithm Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-18 Mingche Li; Jiangwei Fan; Lihui Qiao
The main control objective of a DC microgrid with a multibus structure is to stabilize the bus voltage and maintain the power balance of the whole system. An adaptive droop control strategy for multibus DC microgrid based on consensus algorithm is proposed. It is based on platform multiagent system, which is realized by network protocol. Under the condition of a weak communication network, the bus
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Stability, Global Dynamics, and Social Welfare of a Two-Stage Game under R&D Spillovers Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-18 Wei Zhou; Tong Chu; Xiao-Xue Wang
In this paper, a repeated two-stage oligopoly game where two boundedly rational firms produce homogeneous product and apply gradient adjustment mechanism to decide their individual R&D investment is considered. Results concerning the equilibrium in the built model and the stability are discussed. The effects of system parameters on the complex dynamical behaviors of the built game are analyzed. We
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Transshipment Vehicle Routing with Pickup and Delivery for Cross-Filling Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-18 Suk-Chul Rim; Hang T. T. Vu
Distribution centers (DCs) typically receive orders from the customers (mostly retail stores) located in their vicinity and deliver the ordered goods the next day morning. To maintain high item fill rate, DCs have to hold a high level of inventory, which will increase inventory cost. As an alternative, cross-filling is that, after closing the daily order receipt, DCs exchange surplus items during the
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Finite Horizon Robust Nonlinear Model Predictive Control for Wheeled Mobile Robots Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-18 Phuong Nam Dao; Hong Quang Nguyen; Thanh Long Nguyen; Xuan Sinh Mai
The control of mobile robotic systems with input constraints is still a remarkable problem for many applications. This paper studies the model predictive control-based kinematic control scheme after implementing the decoupling technique of wheeled mobile robots (WMRs). This method enables us to obtain the easier optimization problem with fixed initial state. The finite horizon in cost function of model
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Cooperative Scheduling of AGV and ASC in Automation Container Terminal Relay Operation Mode Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-18 Qinglei Zhang; Weixin Hu; Jianguo Duan; Jiyun Qin
The key problem of operation optimization for automated container terminal is the coordinated scheduling of automated quay crane (QC), automated guided vehicle (AGV), and automated stacking crane (ASC). In order to solve this problem, this paper proposed a new method to optimize the scheduling of ASC and AGV. In the automated container terminal, each container block is equipped with twin ASCs. At the
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Robust Trajectory Planning for Hypersonic Glide Vehicle with Parametric Uncertainties Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-16 Chunyun Dong; Zhi Guo; Xiaolong Chen
A hybrid double-loop optimization algorithm combing particle swarm optimization (PSO) and nonintrusive polynomial chaos (NIPC) is proposed for solving the robust trajectory optimization of hypersonic glide vehicle (HGV) under uncertainties. In the outer loop, the PSO method searches globally for the robust optimal control law according to a penalized fitness function that contains the system robustness
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Robust Control for the Nonlinear Cascade Systems with Passive and Nonpassive Subsystems Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-16 Hongpeng Zhao; Xingtao Wang
In this paper, control for the uncertain switched nonlinear cascade systems with passive and nonpassive subsystems is investigated. Based on the average dwell time method, for any given passivity rate, average dwell time, and disturbance attenuation level, the feedback controllers of the subsystems by predetermined constants are designed to solve the exponential stability and -gain problems of control
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Dynamic Evolution Game of Travelers’ Air-to-HSR Choice under the Scenario of HSR Speed-Up Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-16 Zhenhua Mou; Kangli Yan; Kepeng Li; Dongfu Shen; Xiang Li; Hanbing Wang; Jijie Guo; Yanyan Chen
With the technological advancement, China’s high-speed rail (HSR) has achieved a higher running speed than ever before, which at the same time leads to the intensive competition between air and high-speed rail with trips within 500–1000 km, as well as to the significant changes of travelers’ air-to-HSR choice. In order to explore the dynamic adaptation of travelers’ choice of high-speed rail (HSR)
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Sharing Logistics Service Supply Chain with Revenue-Sharing vs. Cost-Sharing Contracts Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-16 Ying Luo; Qiang Wei; Xinyu Gou; Dai Dai; Yiran Zhou
The purpose of this study is to explore the design of equity cooperation mechanism in the sharing logistics service supply chain. This study designs a two-echelon logistics service supply chain composed of an urban joint distribution company and N logistics companies. The urban joint distribution company is jointly established by N logistics companies based on specific shares of equity investment.
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Effect of Detuning of Clamping Force of Tie Rods on Dynamic Performance of Rod-Fastened Jeffcott Rotor Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-16 Haoliang Xu; Lihua Yang; Tengfei Xu; Yao Wu
In view of the advantages of lightweight, high strength, easy cooling, and easy assembly, the rod-fastened rotor is widely used in the aeroengine and heavy gas turbine. However, because of assembly, stress relaxation, material creep, and other reasons, the clamping force of the tie rods will be out of tune during the long-term operation of the rotor. The detuning of the clamping force of the tie rods
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Maximum Likelihood-Based Measurement Noise Covariance Estimation Using Sequential Quadratic Programming for Cubature Kalman Filter Applied in INS/BDS Integration Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-16 Bingbing Gao; Gaoge Hu; Wenmin Li; Yan Zhao; Yongmin Zhong
With the completion of the Beidou-3 system (BDS) in China, INS/BDS integration will become a promising navigation and positioning strategy. However, due to the nonlinear propagation characteristic of INS error and inevitable involvement of inaccurate measurement noise statistics, it is difficult to achieve the optimal solution through the INS/BDS integration. This paper proposes a method of cubature
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Solitary Wave Diffraction with a Single and Two Vertical Circular Cylinders Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-16 Zouhair Hafsia; Saliha Nouri; Salah Mahmoud Boulaaras; Ali Allahem; Salem Alkhalaf; Aldo Munoz Vazquez
This study investigates the three-dimensional (3-D) solitary wave interaction with two cylinders in tandem and side-by-side arrangements for two wave heights. The solitary wave generation and propagation are predicted using the volume of fluid method (VOF) coupled with the NavierStokes transport equations. The PHOENICS code is used to solve these transport equations. The solitary wave generation based
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Indoor Vision/INS Integrated Mobile Robot Navigation Using Multimodel-Based Multifrequency Kalman Filter Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-16 Yuan Xu; Tongqian Liu; Bin Sun; Yong Zhang; Siamak Khatibi; Mingxu Sun
In order to further improve positioning accuracy, this paper proposes an indoor vision/INS integrated mobile robot navigation method using multimodel-based multifrequency Kalman filter. Firstly, to overcome the insufficient accuracy of visual data when a robot turns, a novel multimodel integrated scheme has been investigated for the mobile robots with Mecanum wheels which can make fixed point angled
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Robustness Analysis of a Type of Iterative Algorithm for R-L Fractional Nonlinear Control Systems in the Sense of Norm Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-16 Yanfang Li; Xianghu Liu; Guangjun Xu
The paper is concerned with the robustness analysis of a type of iterative algorithm for R-L fractional nonlinear control systems in the sense of norm. Firstly, according to the Laplace transform and M-L function, the concept of mild solutions of the system is derived. Secondly, we give the sufficient conditions of robustness analysis of the -type ILC algorithm with uncertain disturbances and then
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Data-Driven Control Based on the Interval Type-2 Intuition Fuzzy Brain Emotional Learning Network for the Multiple Degree-of-Freedom Rehabilitation Robot Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-16 Hongmei Li; Di Li; Xiangjian Chen; Zhongqiang Pan
A novel interval type-2 intuition fuzzy brain emotional learning network model (IT2IFBELC) which depends only on the input and output data is proposed for the rehabilitation robot, which is different from model-based control algorithms that require exact dynamic model knowledge of the rehabilitation robot. The proposed model takes advantage of the type-2 intuition fuzzy theory and brain emotional neural
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Background Modeling Based on Statistical Clustering Partitioning Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-16 Biao Li; Xu Zhiyong; Jianlin Zhang; Xiangru Wang; Xiangsuo Fan
In order to effectively detect dim-small targets in complex scenes, background suppression is applied to highlight the targets. This paper presents a statistical clustering partitioning low-rank background modeling algorithm (SCPLBMA), which clusters the image into several patches based on image statistics. The image matrix of each patch is decomposed into low-rank matrix and sparse matrix in the SCPLBMA
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A Comparative Study of Landslide Susceptibility Mapping Using SVM and PSO-SVM Models Based on Grid and Slope Units Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-15 Shuai Zhao; Zhou Zhao
The main purpose of this study aims to apply and compare the rationality of landslide susceptibility maps using support vector machine (SVM) and particle swarm optimization coupled with support vector machine (PSO-SVM) models in Lueyang County, China, enhance the connection with the natural terrain, and analyze the application of grid units and slope units. A total of 186 landslide locations were identified
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Optimization of Cardiac Magnetic Resonance Synthetic Image Based on Simulated Generative Adversarial Network Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-15 Ying Fu; MinXue Gong; Guang Yang; JinRong Hu; Hong Wei; Jiliu Zhou
The generative adversarial network (GAN) has advantage to fit data distribution, so it can achieve data augmentation by fitting the real distribution and synthesizing additional training data. In this way, the deep convolution model can also be well trained in the case of using a small sample medical image data set. However, some certain gaps still exist between synthetic images and real images. In
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A Landslide Displacement Prediction Method with Iteration-Based Combined Strategy Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-15 L. Li; S. X. Zhang; Y. Qiang; Z. Zheng; S. H. Li; C. S. Xia
Predicting landslide displacement is of great significance in geotechnical engineering. An iteration-based combined prediction method was proposed for predicting the landslide displacement in this paper. Firstly, the landslide displacement was predicted by 10 latest multivariable grey models, and then the final landslide displacement prediction value was obtained through an iteration-based combined
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An Improved Monte Carlo Method Based on Neural Network and Fuzziness Analysis: A Case Study of the Nanpo Dump of the Chengmenshan Copper Mine Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-15 Feng Gao; Xiaodong Wu; LeWen Wu
The landslide of dump is a man-made geological disaster which will bring great harm to the surrounding people and environment, and probabilistic reliability analysis is commonly used to analyze the probability of slope landslide or whether protective measures should be taken. Monte Carlo simulation is the most commonly used method, but there are some problems, such as low efficiency, statistical ambiguity
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A Secure Chaotic Block Image Encryption Algorithm Using Generative Adversarial Networks and DNA Sequence Coding Math. Probl. Eng. (IF 1.009) Pub Date : 2021-01-15 Pengfei Fang; Han Liu; Chengmao Wu; Min Liu
This paper proposes a block encryption algorithm based on a new chaotic system that combines generative adversarial networks (GANs) and DNA sequence coding. First, the new one-dimensional chaotic system that combines GANs with DNA sequence coding generates two more complex key stream sequences. Then, the two different random sequences are combined with an improved Feistel network by utilizing the product
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