Open Access
ARTICLE
Tao Xue1, Yazhou Wang2, Masao Shimada2, David Tae2, Kumar Tamma2,*, Xiaobing Zhang1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1469-1487, 2023, DOI:10.32604/cmes.2022.021616
Abstract In this work, a consistent and physically accurate implementation of the general framework of unified second-order time accurate integrators via the well-known GSSSS framework in the Discrete Element Method is presented. The improved tangential displacement evaluation in the present implementation of the discrete element method has been derived and implemented to preserve the consistency of the correct time level evaluation during the time integration process in calculating the algorithmic tangential displacement. Several numerical examples have been used to validate the proposed tangential displacement evaluation; this is in contrast to past practices which only seem to attain the first-order time accuracy… More >
Open Access
REVIEW
Anjani Kumar Rai*, Subodh Srivastava
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1489-1528, 2023, DOI:10.32604/cmes.2022.020920
Abstract Image forging is the alteration of a digital image to conceal some of the necessary or helpful information. It cannot be easy to distinguish the modified region from the original image in some circumstances. The demand for authenticity and the integrity of the image drive the detection of a fabricated image. There have been cases of ownership infringements or fraudulent actions by counterfeiting multimedia files, including re-sampling or copy-moving. This work presents a high-level view of the forensics of digital images and their possible detection approaches. This work presents a thorough analysis of digital image forgery detection techniques with their… More >
Open Access
REVIEW
Zheng Zhang, Juan Chen*, Qing Guo
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1529-1563, 2023, DOI:10.32604/cmes.2022.021451
（This article belongs to this Special Issue: Computer Modeling for Smart Cities Applications)
Abstract Automated Guided Vehicles (AGVs) have been introduced into various applications, such as automated warehouse
systems, flexible manufacturing systems, and container terminal systems. However, few publications have outlined
problems in need of attention in AGV applications comprehensively. In this paper, several key issues and essential
models are presented. First, the advantages and disadvantages of centralized and decentralized AGVs systems were
compared; second, warehouse layout and operation optimization were introduced, including some omitted areas,
such as AGVs fleet size and electrical energy management; third, AGVs scheduling algorithms in chessboardlike environments were analyzed; fourth, the classical route-planning algorithms for single AGV and multiple… More >
Graphic Abstract
Open Access
REVIEW
Liang Luo1, Xingmei Li1, Kaijiang Yang1, Mengyang Wei1, Jiong Chen1, Junqian Yang1, Liang Yao2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1565-1595, 2023, DOI:10.32604/cmes.2022.021198
（This article belongs to this Special Issue: Artificial Intelligence for Mobile Edge Computing in IoT)
Abstract The emergence of power dispatching automation systems has greatly improved the efficiency of power industry
operations and promoted the rapid development of the power industry. However, with the convergence and
increase in power data flow, the data dispatching network and the main station dispatching automation system have
encountered substantial pressure. Therefore, the method of online data resolution and rapid problem identification
of dispatching automation systems has been widely investigated. In this paper, we perform a comprehensive review
of automated dispatching of massive dispatching data from the perspective of intelligent identification, discuss
unresolved research issues and outline future directions in this… More >
Open Access
REVIEW
Wenjun Zhang1, Wenfeng Wang2,3,*
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1597-1619, 2023, DOI:10.32604/cmes.2022.020517
（This article belongs to this Special Issue: Enabled and Human-centric Computational Intelligence Solutions for Visual Understanding and Application)
Abstract Face recognition has been rapidly developed and widely used. However, there is still considerable uncertainty in the
computational intelligence based on human-centric visual understanding. Emerging challenges for face recognition
are resulted from information loss. This study aims to tackle these challenges with a broad learning system (BLS).
We integrated two models, IR3C with BLS and IR3C with a triplet loss, to control the learning process. In our
experiments, we used different strategies to generate more challenging datasets and analyzed the competitiveness,
sensitivity, and practicability of the proposed two models. In the model of IR3C with BLS, the recognition rates
for… More >
Open Access
REVIEW
Jianchu Lin1,2, Shuang Li3, Hong Qin3,4, Hongchang Wang3, Ning Cui6, Qian Jiang7, Haifang Jian3,*, Gongming Wang5,*
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1621-1651, 2023, DOI:10.32604/cmes.2022.020857
（This article belongs to this Special Issue: Enabled and Human-centric Computational Intelligence Solutions for Visual Understanding and Application)
Abstract 3D human pose estimation is a major focus area in the field of computer vision, which plays an important role
in practical applications. This article summarizes the framework and research progress related to the estimation of
monocular RGB images and videos. An overall perspective of methods integrated with deep learning is introduced.
Novel image-based and video-based inputs are proposed as the analysis framework. From this viewpoint, common
problems are discussed. The diversity of human postures usually leads to problems such as occlusion and ambiguity,
and the lack of training datasets often results in poor generalization ability of the model. Regression… More >
Open Access
ARTICLE
Qi Guo, Shujun Zhang*, Hui Li
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1653-1670, 2023, DOI:10.32604/cmes.2022.021784
Abstract Continuous sign language recognition (CSLR) is challenging due to the complexity of video background, hand gesture variability, and temporal modeling difficulties. This work proposes a CSLR method based on a spatial-temporal graph attention network to focus on essential features of video series. The method considers local details of sign language movements by taking the information on joints and bones as inputs and constructing a spatial-temporal graph to reflect inter-frame relevance and physical connections between nodes. The graph-based multi-head attention mechanism is utilized with adjacent matrix calculation for better local-feature exploration, and short-term motion correlation modeling is completed via a temporal… More >
Graphic Abstract
Open Access
ARTICLE
Ji Wang1, Liming Li1,2,3, Shubin Zheng1,3, Shuguang Zhao2, Xiaodong Chai1,3, Lele Peng1,3, Weiwei Qi1,3, Qianqian Tong1
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1671-1706, 2023, DOI:10.32604/cmes.2022.022143
Abstract Loosening detection; cascade deep convolutional neural network; object localization; saliency detection problem of
bolts on axlebox covers. Firstly, an SSD network based on ResNet50 and CBAM module by improving bolt image
features is proposed for locating bolts on axlebox covers. And then, the A2-PFN is proposed according to the slender
features of the marker lines for extracting more accurate marker lines regions of the bolts. Finally, a rectangular
approximation method is proposed to regularize the marker line regions as a way to calculate the angle of the marker
line and plot all the angle values into an angle table, according… More >
Graphic Abstract
Open Access
ARTICLE
Jeongwoo Park, Bong-Gu Jung, Jun Won Kang*
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1707-1735, 2023, DOI:10.32604/cmes.2022.020926
Abstract This paper presents an electrical impedance tomography (EIT) method using a partial-differential-equation-constrained optimization approach. The forward problem in the inversion framework is described by a complete electrode model (CEM), which seeks the electric potential within the domain and at surface electrodes considering the contact impedance between them. The finite element solution of the electric potential has been validated using a commercial code. The inverse medium problem for reconstructing the unknown electrical conductivity profile is formulated as an optimization problem constrained by the CEM. The method seeks the optimal solution of the domain’s electrical conductivity to minimize a Lagrangian functional consisting… More >
Open Access
ARTICLE
Rebecca Gedda1,*, Larisa Beilina2, Ruomu Tan3
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1737-1759, 2023, DOI:10.32604/cmes.2022.019764
（This article belongs to this Special Issue: Advances on Modeling and State Estimation for Industrial Processes)
Abstract Change point detection becomes increasingly important because it can support data analysis by providing labels to the data in an unsupervised manner. In the context of process data analytics, change points in the time series of process variables may have an important indication about the process operation. For example, in a batch process, the change points can correspond to the operations and phases defined by the batch recipe. Hence identifying change points can assist labelling the time series data. Various unsupervised algorithms have been developed for change point detection, including the optimisation approach which minimises a cost function with certain… More >
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