Open Access
ARTICLE
Dah-Jing Jwo1, *
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 >
Open Access
ARTICLE
Nawaf N. Hamadneh1, Waqar A. Khan2, Ilyas Khan3, *
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 >
Open Access
ARTICLE
Abdu Gumaei1, 2, *, Mabrook Al-Rakhami1, 2, Hussain AlSalman2, Sk. Md. Mizanur Rahman3, Atif Alamri1, 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 >
Open Access
ARTICLE
Sudan Jha1, Lewis Nkenyereye2, *, 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 >
Open Access
ARTICLE
Machiraju Jayalakshmi1, *, S. Nagaraja Rao2
CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1081-1096, 2020, DOI:10.32604/cmc.2020.011710
Abstract In recent years, the development in the field of computer-aided diagnosis (CAD)
has increased rapidly. Many traditional machine learning algorithms have been proposed
for identifying the pathological brain using magnetic resonance images. The existing
algorithms have drawbacks with respect to their accuracy, efficiency, and limited learning
processes. To address these issues, we propose a pathological brain tumour detection
method that utilizes the Weiner filter to improve the image contrast, 2D- discrete wavelet
transformation (2D-DWT) to extract the features, probabilistic principal component
analysis (PPCA) and linear discriminant analysis (LDA) to normalize and reduce the
features, and a feed-forward neural network (FNN)… More >
Open Access
ARTICLE
Iftikhar Ahmad1, *, Rayan Atteah Alsemmeari1
CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1097-1111, 2020, DOI:10.32604/cmc.2020.011732
（This article belongs to this Special Issue: Management of Security, Privacy and Trust of Multimedia Data in Mobile devices communication)
Abstract An IDS (intrusion detection system) provides a foremost front line mechanism
to guard networks, systems, data, and information. That’s why intrusion detection has
grown as an active study area and provides significant contribution to cyber-security
techniques. Multiple techniques have been in use but major concern in their
implementation is variation in their detection performance. The performance of IDS lies
in the accurate detection of attacks, and this accuracy can be raised by improving the
recognition rate and significant reduction in the false alarms rate. To overcome this
problem many researchers have used different machine learning techniques. These
techniques have limitations… More >
Open Access
ARTICLE
Raja Sher Afgun Usmani1, Syed Muhammad Saqlain Shah1, *, Muhammad Sher Ramzan2, Abdullah Saad AL-Malaise AL-Ghamdi2, Anwar Ghani1, Imran Khan1, Farrukh Saleem2
CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1113-1136, 2020, DOI:10.32604/cmc.2020.010789
Abstract There is an international cricket governing body that ranks the expertise of all
the cricket playing nations, known as the International Cricket Council (ICC). The
ranking system followed by the ICC relies on the winnings and defeats of the teams. The
model used by the ICC to implement rankings is deficient in certain key respects. It
ignores key factors like winning margin and strength of the opposition. Various measures
of the ranking concept are presented in this research. The proposed methods adopt the
concepts of h-Index and PageRank for presenting more comprehensive ranking metrics.
The proposed approaches not only rank… More >
Open Access
ARTICLE
Fahd N. Al-Wesabi1, 2, *
CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1137-1156, 2020, DOI:10.32604/cmc.2020.011151
Abstract Text information is principally dependent on the natural languages. Therefore,
improving security and reliability of text information exchanged via internet network has
become the most difficult challenge that researchers encounter. Content authentication and
tampering detection of digital contents have become a major concern in the area of
communication and information exchange via the Internet. In this paper, an intelligent text
Zero-Watermarking approach SETZWMWMM (Smart English Text Zero-Watermarking
Approach Based on Mid-Level Order and Word Mechanism of Markov Model) has been
proposed for the content authentication and tampering detection of English text contents.
The SETZWMWMM approach embeds and detects the watermark… More >
Open Access
ARTICLE
Hamid Ghasemi1, Harold S. Park2, Xiaoying Zhuang3, 4, *, Timon Rabczuk5, 6
CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1157-1179, 2020, DOI:10.32604/cmc.2020.08358
Abstract Flexoelectricity is a general electromechanical phenomenon where the electric
polarization exhibits a linear dependency to the gradient of mechanical strain and vice versa.
The truncated pyramid compression test is among the most common setups to estimate the
flexoelectric effect. We present a three-dimensional isogeometric formulation of
flexoelectricity with its MATLAB implementation for a truncated pyramid setup. Besides
educational purposes, this paper presents a precise computational model to illustrate how the
localization of strain gradients around pyramidal boundary shapes contributes in generation
of electrical energy. The MATLAB code is supposed to help learners in the Isogeometric
Analysis and Finite Elements Methods… More >
Open Access
ARTICLE
Sooyeon Park1, Moonseong Kim2, Woochan Lee1, *
CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1181-1201, 2020, DOI:10.32604/cmc.2020.011245
Abstract With the recent development of big data technology that collects and analyzes
various data, the technology that continuously collects and analyzes the observed data is
also drawing attention. Moreover, its importance is growing in data collection in areas
where people cannot access. In general, it is not easy to properly deploy IoT wireless
devices for data collection in these areas, and it is also inappropriate to use general wheelbased mobile devices for relocation. Recently, researches have been actively carried out on
hopping moving models in place of wheel-based movement for the inaccessible regions.
The majority of studies, however, so far… More >
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