Sudan Jha¹, Lewis Nkenyereye^{2, *}, Gyanendra Prasad Joshi³, Eunmok Yang⁴

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1059-1079, 2020, DOI:10.32604/cmc.2020.011754

Abstract The present trends in smart world reflects the extensive use of limited resources through information and communication technology. The limited resources like space, mobility, energy, etc., have been consumed rigorously towards creating optimized but smart instances. Thus, a new concept of IoT integrated smart city vision is yet to be proposed which includes a combination of systems like noise and air loss monitoring, web monitoring and fire detection systems, smart waste bin systems, etc., that have not been clearly addressed in the previous researches. This paper focuses on developing an effective system for possible monitoring of losses, traffic management, thus… More >

Abdu Gumaei^{1, 2, *}, Mabrook Al-Rakhami^{1, 2}, Hussain AlSalman², Sk. Md. Mizanur Rahman³, Atif Alamri^{1, 2}

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1033-1057, 2020, DOI:10.32604/cmc.2020.011740

Abstract Human activity recognition is commonly used in several Internet of Things applications to recognize different contexts and respond to them. Deep learning has gained momentum for identifying activities through sensors, smartphones or even surveillance cameras. However, it is often difficult to train deep learning models on constrained IoT devices. The focus of this paper is to propose an alternative model by constructing a Deep Learning-based Human Activity Recognition framework for edge computing, which we call DL-HAR. The goal of this framework is to exploit the capabilities of cloud computing to train a deep learning model and deploy it on lesspowerful… More >

Nawaf N. Hamadneh¹, Waqar A. Khan², Ilyas Khan^{3, *}

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1015-1032, 2020, DOI:10.32604/cmc.2020.011476

Abstract One of the most significant considerations in the design of a heat sink is thermal management due to increasing thermal flux and miniature in size. These heat sinks utilize plate or pin fins depending upon the required heat dissipation rate. They are designed to optimize overall performance. Elliptical pin fin heat sinks enhance heat transfer rates and reduce the pumping power. In this study, the Firefly Algorithm is implemented to optimize heat sinks with elliptical pin-fins. The pin-fins are arranged in an inline fashion. The natureinspired metaheuristic algorithm performs powerfully and efficiently in solving numerical global optimization problems. Based on… More >

Dah-Jing Jwo^{1, *}

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 993-1014, 2020, DOI:10.32604/cmc.2020.011592

Abstract The Global Positioning System (GPS) offers the interferometer for attitude determination by processing the carrier phase observables. By using carrier phase observables, the relative positioning is obtained in centimeter level. GPS interferometry has been firstly used in precise static relative positioning, and thereafter in kinematic positioning. The carrier phase differential GPS based on interferometer principles can solve for the antenna baseline vector, defined as the vector between the antenna designated master and one of the slave antennas, connected to a rigid body. Determining the unknown baseline vectors between the antennas sits at the heart of GPS-based attitude determination. The conventional… More >

Jing Wang^{1, *}, Anqi Hou¹, Yuanfei Tu¹, Hong Yu²

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 977-991, 2020, DOI:10.32604/cmc.2020.011003

Abstract Wireless Sensor Network (WSN) based applications has been extraordinarily helpful in monitoring interested area. Only information of surrounding environment with meaningful geometric information is useful. How to design the localization algorithm that can effectively extract unknown node position has been a challenge in WSN. Among all localization technologies, the Distance Vector-Hop (DV-Hop) algorithm has been most popular because it simply utilizes the hop counts as connectivity measurements. This paper proposes an improved DV-Hop based algorithm, a centroid DV-hop localization with selected anchors and inverse distance weighting schemes (SIC-DV-Hop). We adopt an inverse distance weighting method for average distance amelioration to… More >

Huijuan Wang^{1, *}, Jiang Yong¹, Qingwei Liu², Alan Yang³

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 963-976, 2020, DOI:10.32604/cmc.2020.09803

Abstract Edge computing devices are widely deployed. An important issue that arises is in that these devices suffer from security attacks. To deal with it, we turn to the blockchain technologies. The note in the alliance chain need rules to limit write permissions. Alliance chain can provide security management functions, using these functions to meet the management between the members, certification, authorization, monitoring and auditing. This article mainly analyzes some requirements realization which applies to the alliance chain, and introduces a new consensus algorithm, generalized Legendre sequence (GLS) consensus algorithm, for alliance chain. GLS algorithms inherit the recognition and verification efficiency… More >

Wenyao Zhu^{1, 2}, Xue Li³, Young-Mi Shon^{4, *}

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 945-962, 2020, DOI:10.32604/cmc.2020.010089

Abstract Traditional clothing design models based on adaptive meshes cannot reflect. To solve this problem, a clothing simulation design model based on 3D image analysis technology is established. The model uses feature extraction and description of image evaluation parameters, and establishes the mapping relationship between image features and simulation results by using the optimal parameter values, thereby obtaining a three-dimensional image simulation analysis environment. On the basis of this model, by obtaining the response results of clothing collision detection and the results of local adaptive processing of clothing meshes, the cutting form and actual cutting effect of clothing are determined to… More >

Jinwei Wang^{1, 2, 3, 4}, Qiye Ni³, Yang Zhang³, Xiangyang Luo^{2, *}, Yunqing Shi⁵, Jiangtao Zhai³, Sunil Kr Jha³

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 929-943, 2020, DOI:10.32604/cmc.2020.06569

Abstract Median filtering is a nonlinear signal processing technique and has an advantage in the field of image anti-forensics. Therefore, more attention has been paid to the forensics research of median filtering. In this paper, a median filtering forensics method based on quaternion convolutional neural network (QCNN) is proposed. The median filtering residuals (MFR) are used to preprocess the images. Then the output of MFR is expanded to four channels and used as the input of QCNN. In QCNN, quaternion convolution is designed that can better mix the information of different channels than traditional methods. The quaternion pooling layer is designed… More >

Leilei Geng¹, Chaoran Cui¹, Qiang Guo¹, Sijie Niu², Guoqing Zhang³, Peng Fu^{4, *}

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 913-928, 2020, DOI:10.32604/cmc.2020.09975

Abstract The multispectral remote sensing image (MS-RSI) is degraded existing multispectral camera due to various hardware limitations. In this paper, we propose a novel core tensor dictionary learning approach with the robust modified Gaussian mixture model for MS-RSI restoration. First, the multispectral patch is modeled by three-order tensor and high-order singular value decomposition is applied to the tensor. Then the task of MS-RSI restoration is formulated as a minimum sparse core tensor estimation problem. To improve the accuracy of core tensor coding, the core tensor estimation based on the robust modified Gaussian mixture model is introduced into the proposed model by… More >

Weizu Huang¹, Dong Wang^{1, *}, Zuodong Xiao¹, Qiang Yao², Danjie Du³

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 897-912, 2020, DOI:10.32604/cmc.2020.09728

Abstract The vibratory roller is a piece of vital construction machinery in the field of road construction. The unmanned vibratory roller efficiently utilizes the automated driving technology in the vehicle engineering field, which is innovative for the unmanned road construction. This paper develops and implements the autonomous construction system for the unmanned vibratory roller. Not only does the roller have the function of remote-controlled driving, but it also has the capability of autonomous road construction. The overall system design uses the Programmable Logic Controller (PLC) as the kernel controller. It establishes the communication network through multiple Input/Output (I/O) modules, Recommended Standard… More >