Open Access
ARTICLE
A. Renugambal1, *, K. Selva Bhuvaneswari2
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 681-700, 2020, DOI:10.32604/cmc.2020.09519
Abstract In this study, a novel hybrid Water Cycle Moth-Flame Optimization (WCMFO)
algorithm is proposed for multilevel thresholding brain image segmentation in Magnetic
Resonance (MR) image slices. WCMFO constitutes a hybrid between the two techniques,
comprising the water cycle and moth-flame optimization algorithms. The optimal
thresholds are obtained by maximizing the between class variance (Otsu’s function) of the
image. To test the performance of threshold searching process, the proposed algorithm has
been evaluated on standard benchmark of ten axial T2-weighted brain MR images for image
segmentation. The experimental outcomes infer that it produces better optimal threshold
values at a greater and… More >
Open Access
ARTICLE
Yui-Chuin Shiah1, *, Sheng-Chi Huang1, M. R. Hematiyan2
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 701-727, 2020, DOI:10.32604/cmc.2020.010417
Abstract In engineering practice, analysis of interfacial thermal stresses in composites is
a crucial task for assuring structural integrity when sever environmental temperature
changes under operations. In this article, the directly transformed boundary integrals
presented previously for treating generally anisotropic thermoelasticity in two-dimension
are fully regularized by a semi-analytical approach for modeling thin multi-layers of
anisotropic/isotropic composites, subjected to general thermal loads with boundary
conditions prescribed. In this process, an additional difficulty, not reported in the
literature, arises due to rapid fluctuation of an integrand in the directly transformed
boundary integral equation. In conventional analysis, thin adhesives are usually neglected
due… More >
Open Access
ARTICLE
Muhammad Hasnain1, Seung Ryul Jeong2, *, Muhammad Fermi Pasha3, Imran Ghani4
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 729-752, 2020, DOI:10.32604/cmc.2020.010394
Abstract Performance anomaly detection is the process of identifying occurrences that
do not conform to expected behavior or correlate with other incidents or events in time
series data. Anomaly detection has been applied to areas such as fraud detection,
intrusion detection systems, and network systems. In this paper, we propose an anomaly
detection framework that uses dynamic features of quality of service that are collected in
a simulated setup. Three variants of recurrent neural networks-SimpleRNN, long short
term memory, and gated recurrent unit are evaluated. The results reveal that the proposed
method effectively detects anomalies in web services with high accuracy.… More >
Open Access
ARTICLE
V. Manikandan1, *, M. Sivaram1, Amin Salih Mohammed2, V. Porkodi3
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 753-776, 2020, DOI:10.32604/cmc.2020.010267
Abstract Wireless Sensor Networks (WSNs) comprises low power devices that are
randomly distributed in a geographically isolated region. The energy consumption of nodes
is an essential factor to be considered. Therefore, an improved energy management
technique is designed in this investigation to reduce its consumption and to enhance the
network’s lifetime. This can be attained by balancing energy clusters using a meta-heuristic
Firefly algorithm model for network communication. This improved technique is based on
the cluster head selection technique with measurement of the tour length of fireflies. Time
Division Multiple Access (TDMA) scheduler is also improved with the
characteristics/behavior of fireflies… More >
Open Access
ARTICLE
Fazal Qudus Khan1, Saim Rasheed1, Maged Alsheshtawi1, Tarig Mohamed Ahmed1, 2, Sadeeq Jan3, *
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 777-796, 2020, DOI:10.32604/cmc.2020.010959
Abstract Computing students face the problem with time and quality of the work while
managing their graduation/senior projects. Rapid Application Development (RAD) model
is based on continual user involvement for the process of requirement gathering via
prototyping. After each iteration, the developers can validate the requirements that are
completed in the iteration. Managing a project with RAD is easier but not flexible. On the
other hand, Agile project management techniques focus on flexibility, agility, teamwork
and quality based on user stories. Continual user involvement is avoided, which requires
extensive maintenance time for fixing iteration and release of the story points. This… More >
Open Access
ARTICLE
Wasfi Shatanawi1, 2, 3, Muhammad Shoaib Arif4, *, Ali Raza4, Muhammad Rafiq5, Mairaj Bibi6, Javeria Nawaz Abbasi6
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 797-811, 2020, DOI:10.32604/cmc.2020.010759
Abstract The structure-preserving features of the nonlinear stochastic models are
positivity, dynamical consistency and boundedness. These features have a significant role
in different fields of computational biology and many more. Unfortunately, the existing
stochastic approaches in literature do not restore aforesaid structure-preserving features,
particularly for the stochastic models. Therefore, these gaps should be occupied up in
literature, by constructing the structure-preserving features preserving numerical
approach. This writing aims to describe the structure-preserving dynamics of the
stochastic model. We have analysed the effect of reproduction number in stochastic
modelling the same as described in the literature for deterministic modelling. The usual
explicit… More >
Open Access
ARTICLE
Amit Chhabra1, *, Gurvinder Singh2, Karanjeet Singh Kahlon2
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 813-834, 2020, DOI:10.32604/cmc.2020.010934
Abstract Cloud computing infrastructure has been evolving as a cost-effective platform
for providing computational resources in the form of high-performance computing as a
service (HPCaaS) to users for executing HPC applications. However, the broader use of
the Cloud services, the rapid increase in the size, and the capacity of Cloud data centers
bring a remarkable rise in energy consumption leading to a significant rise in the system
provider expenses and carbon emissions in the environment. Besides this, users have
become more demanding in terms of Quality-of-service (QoS) expectations in terms of
execution time, budget cost, utilization, and makespan. This situation calls… More >
Open Access
ARTICLE
Amer Ibrahim Al-Omari1, *, Ibrahim M. Almanjahie2, Amal S. Hassan3, Heba F. Nagy4
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 835-857, 2020, DOI:10.32604/cmc.2020.10944
Abstract In reliability analysis, the stress-strength model is often used to describe the life of
a component which has a random strength (X) and is subjected to a random stress (Y). In this
paper, we considered the problem of estimating the reliability R=P [Y<X] when the
distributions of both stress and strength are independent and follow exponentiated Pareto
distribution. The maximum likelihood estimator of the stress strength reliability is calculated
under simple random sample, ranked set sampling and median ranked set sampling methods.
Four different reliability estimators under median ranked set sampling are derived. Two
estimators are obtained when both strength… More >
Open Access
ARTICLE
Abd-Allah Hyder1, 2, *, M. El-Badawy3
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 859-870, 2020, DOI:10.32604/cmc.2020.09897
Abstract In this paper, the non-stationary incompressible fluid flows governed by the
Navier-Stokes equations are studied in a bounded domain. This study focuses on the timefractional Navier-Stokes equations in the optimal control subject, where the control is
distributed within the domain and the time-fractional derivative is proposed as RiemannLiouville sort. In addition, the control object is to minimize the quadratic cost functional.
By using the Lax-Milgram lemma with the assistance of the fixed-point theorem, we
demonstrate the existence and uniqueness of the weak solution to this system. Moreover,
for a quadratic cost functional subject to the time-fractional Navier-Stokes equations, we
prove… More >
Open Access
ARTICLE
Y. S. Hamed1, 2, *, Ayman A. Al3, 4, B. Sale3, 4, Ageel F. Alogla3, Awad M. Aljuaid3, Mosleh M. Alharthi0F5
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 871-886, 2020, DOI:10.32604/cmc.2020.08120
Abstract In this paper, we studied the vibration performance, energy transfer and
stability of the offshore wind turbine tower system under mixed excitations. The method
of multiple scales is utilized to calculate the approximate solutions of wind turbine
system. The proportional-derivative controller was applied for reducing the oscillations
of the controlled system. Adding the controller to single degree of freedom system
equation is responsible for energy transfers in offshore wind turbine tower system. The
steady state solution of stability at worst resonance cases is studied and examined. The
offshore wind turbine system behavior was studied numerically at its different parameters
values.… More >
Open Access
ARTICLE
Ming Lu1, 2, *, Shaozhang Niu1, Zhenguang Gao3
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 887-907, 2020, DOI:10.32604/cmc.2020.09770
Abstract Content aware image resizing (CAIR) is an excellent technology used widely
for image retarget. It can also be used to tamper with images and bring the trust crisis of
image content to the public. Once an image is processed by CAIR, the correlation of local
neighborhood pixels will be destructive. Although local binary patterns (LBP) can
effectively describe the local texture, it however cannot describe the magnitude
information of local neighborhood pixels and is also vulnerable to noise. Therefore, to
deal with the detection of CAIR, a novel forensic method based on improved local
ternary patterns (ILTP) feature and gradient… More >
Open Access
ARTICLE
Ao Feng1, Zhengjie Gao1, *, Xinyu Song1, Ke Ke2, Tianhao Xu1, Xuelei Zhang1
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 909-923, 2020, DOI:10.32604/cmc.2020.09913
Abstract Existing solutions do not work well when multi-targets coexist in a sentence.
The reason is that the existing solution is usually to separate multiple targets and process
them separately. If the original sentence has N target, the original sentence will be
repeated for N times, and only one target will be processed each time. To some extent,
this approach degenerates the fine-grained sentiment classification task into the sentencelevel sentiment classification task, and the research method of processing the target
separately ignores the internal relation and interaction between the targets. Based on the
above considerations, we proposes to use Graph Convolutional… More >
Open Access
ARTICLE
Jinyuan Li1, Hao Li1, Guorong Cui1, Yan Kang1, *, Yang Hu1, Yingnan Zhou2
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 925-940, 2020, DOI:10.32604/cmc.2020.09903
Abstract With continuous urbanization, cities are undergoing a sharp expansion within
the regional space. Due to the high cost, the prediction of regional traffic flow is more
difficult to extend to entire urban areas. To address this challenging problem, we present
a new deep learning architecture for regional epitaxial traffic flow prediction called
GACNet, which predicts traffic flow of surrounding areas based on inflow and outflow
information in central area. The method is data-driven, and the spatial relationship of
traffic flow is characterized by dynamically transforming traffic information into images
through a two-dimensional matrix. We introduce adversarial training to improve
performance… More >
Open Access
ARTICLE
Mo Chen1, Xiaojuan Wang1, *, Mingshu He1, Lei Jin1, Khalid Javeed2, Xiaojun Wang3
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 941-959, 2020, DOI:10.32604/cmc.2020.09802
Abstract Attacks on websites and network servers are among the most critical threats in
network security. Network behavior identification is one of the most effective ways to
identify malicious network intrusions. Analyzing abnormal network traffic patterns and
traffic classification based on labeled network traffic data are among the most effective
approaches for network behavior identification. Traditional methods for network traffic
classification utilize algorithms such as Naive Bayes, Decision Tree and XGBoost.
However, network traffic classification, which is required for network behavior
identification, generally suffers from the problem of low accuracy even with the recently
proposed deep learning models. To improve network… More >
Open Access
ARTICLE
Ruijie Lin1, Haitao Xu2, *, Meng Li3, Zhen Zhang4
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 961-972, 2020, DOI:10.32604/cmc.2020.09686
Abstract In this paper, we have proposed a differential game model to optimally solve the
resource allocation problems in the edge-computing based wireless networks. In the
proposed model, a wireless network with one cloud-computing center (CC) and lots of edge
services providers (ESPs) is investigated. In order to provide users with higher services
quality, the ESPs in the proposed wireless network should lease the computing resources
from the CC and the CC can allocate its idle cloud computing resource to the ESPs. We
will try to optimally allocate the edge computing resources between the ESPs and CC using
the differential game… More >
Open Access
ARTICLE
Qi Wang1, 2, *, Changsong Yang2, 3, Shao’en Wu4
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 973-986, 2020, DOI:10.32604/cmc.2020.07575
Abstract Strapdown non-exchangeable error compensation technology in high dynamic
environment is one of the key technologies of strapdown inertial navigation system.
Mathematical platform is used in strapdown inertial navigation system instead of physical
platform in traditional platform inertial navigation system, which improves reliability and
reduces cost and volume of system. The maximum error source of attitude matrix
solution is the non-exchangeable error of rotation due to the non-exchangeable of finite
rotation of rigid bodies. The rotation non-exchangeable error reaches the maximum in
coning motion, although it can be reduced by shortening the correction period and
increasing the real-time calculation. The equivalent… More >
Open Access
ARTICLE
Hui Li1, Cailin Shi2, 3, Xin Liu2, 3, Aziguli Wulamu2, 3, *, Alan Yang4
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 987-1004, 2020, DOI:10.32604/cmc.2020.09812
Abstract The difference in electricity and power usage time leads to an unbalanced
current among the three phases in the power grid. The three-phase unbalanced is closely
related to power planning and load distribution. When the unbalance occurs, the safe
operation of the electrical equipment will be seriously jeopardized. This paper proposes a
Hierarchical Temporal Memory (HTM)-based three-phase unbalance prediction model
consisted by the encoder for binary coding, the spatial pooler for frequency pattern
learning, the temporal pooler for pattern sequence learning, and the sparse distributed
representations classifier for unbalance prediction. Following the feasibility of spatialtemporal streaming data analysis, we adopted… More >
Open Access
ARTICLE
Lin Zhao1, Xiaobo Chen1, 2, *, Jianhua Cheng1, Lianhua Yu3, Chengcai Lv4, Jiuru Wang5
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1005-1023, 2020, DOI:10.32604/cmc.2020.010290
Abstract This paper addresses the problem of assessing and optimizing the acoustic
positioning system for underwater target localization with range measurement. We
present a new three-dimensional assessment model to evaluate the optimal geometric
beacon formation whether meets user requirements. For mathematical tractability, it is
assumed that the measurements of the range between the target and beacons are corrupted
with white Gaussian noise with variance, which is distance-dependent. Then, the
relationship between DOP parameters and positioning accuracy can be derived by
adopting dilution of precision (DOP) parameters in the assessment model. In addition, the
optimal geometric beacon formation yielding the best performance… More >
Open Access
ARTICLE
Wenxi Han1, 2, Mingzhi Cheng3, *, Min Lei1, 2, Hanwen Xu2, Yu Yang1, 2, Lei Qian4
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1025-1038, 2020, DOI:10.32604/cmc.2020.09815
Abstract In recent years, with the continuous advancement of the intelligent process of
the Internet of Vehicles (IoV), the problem of privacy leakage in IoV has become
increasingly prominent. The research on the privacy protection of the IoV has become the
focus of the society. This paper analyzes the advantages and disadvantages of the existing
location privacy protection system structure and algorithms, proposes a privacy protection
system structure based on untrusted data collection server, and designs a vehicle location
acquisition algorithm based on a local differential privacy and game model. The algorithm
first meshes the road network space. Then, the dynamic… More >
Open Access
ARTICLE
Bolun Chen1, 2, Guochang Zhu1, *, Min Ji1, Yongtao Yu1, Jianyang Zhao1, Wei Liu3
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1039-1049, 2020, DOI:10.32604/cmc.2020.010583
Abstract Air quality prediction is an important part of environmental governance. The
accuracy of the air quality prediction also affects the planning of people’s outdoor
activities. How to mine effective information from historical data of air pollution and
reduce unimportant factors to predict the law of pollution change is of great significance
for pollution prevention, pollution control and pollution early warning. In this paper, we
take into account that there are different trends in air pollutants and that different climatic
factors have different effects on air pollutants. Firstly, the data of air pollutants in
different cities are collected by a sliding… More >
Open Access
ARTICLE
Jingping Song1, Qingyu Meng1, Chenke Luo2, Nitin Naik3, Jian Xu1, *
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1051-1061, 2020, DOI:10.32604/cmc.2020.010592
Abstract In recent years, as the popularity of anonymous currencies such as Bitcoin has
made the tracking of ransomware attackers more difficult, the amount of ransomware
attacks against personal computers and enterprise production servers is increasing
rapidly. The ransomware has a wide range of influence and spreads all over the world. It
is affecting many industries including internet, education, medical care, traditional
industry, etc. This paper uses the idea of virus immunity to design an immunization
solution for ransomware viruses to solve the problems of traditional ransomware defense
methods (such as anti-virus software, firewalls, etc.), which cannot meet the requirements
of… More >
Open Access
ARTICLE
Fang Wang1, *, Zhe Wei1, Xu Zuo2
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1063-1073, 2020, DOI:10.32604/cmc.2020.09774
Abstract The heterogeneous nodes in the Internet of Things (IoT) are relatively weak in
the computing power and storage capacity. Therefore, traditional algorithms of network
security are not suitable for the IoT. Once these nodes alternate between normal behavior
and anomaly behavior, it is difficult to identify and isolate them by the network system in
a short time, thus the data transmission accuracy and the integrity of the network function
will be affected negatively. Based on the characteristics of IoT, a lightweight local outlier
factor detection method is used for node detection. In order to further determine whether
the nodes are… More >
Open Access
ARTICLE
Yabin Xu1, 2, 3, *, Ting Xu3, Xiaowei Xu4
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1075-1089, 2020, DOI:10.32604/cmc.2020.09849
Abstract To improve the attack detection capability of content centric network (CCN),
we propose a detection method of interest flooding attack (IFA) making use of the feature
of self-similarity of traffic and the information entropy of content name of interest packet.
On the one hand, taking advantage of the characteristics of self-similarity is very
sensitive to traffic changes, calculating the Hurst index of the traffic, to identify initial
IFA attacks. On the other hand, according to the randomness of user requests, calculating
the information entropy of content name of the interest packets, to detect the severity of
the IFA attack, is.… More >
Open Access
ARTICLE
Hangjun Zhou1, *, Guang Sun1, 2, Sha Fu1, Xiaoping Fan1, Wangdong Jiang1, Shuting Hu1, Lingjiao Li1
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1091-1105, 2020, DOI:10.32604/cmc.2020.09834
Abstract Supply Chain Finance (SCF) is important for improving the effectiveness of
supply chain capital operations and reducing the overall management cost of a supply
chain. In recent years, with the deep integration of supply chain and Internet, Big Data,
Artificial Intelligence, Internet of Things, Blockchain, etc., the efficiency of supply chain
financial services can be greatly promoted through building more customized risk pricing
models and conducting more rigorous investment decision-making processes. However,
with the rapid development of new technologies, the SCF data has been massively
increased and new financial fraud behaviors or patterns are becoming more covertly
scattered among normal… More >
Open Access
ARTICLE
Xiaoling Yu1, Chungen Xu1, *, Lei Xu1, Yuntao Wang2
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1107-1125, 2020, DOI:10.32604/cmc.2020.09680
Abstract To save the local storage, users store the data on the cloud server who offers
convenient internet services. To guarantee the data privacy, users encrypt the data before
uploading them into the cloud server. Since encryption can reduce the data availability, public-key encryption with keyword search (PEKS) is developed to achieve the retrieval
of the encrypted data without decrypting them. However, most PEKS schemes cannot
resist quantum computing attack, because the corresponding hardness assumptions are
some number theory problems that can be solved efficiently under quantum computers.
Besides, the traditional PEKS schemes have an inherent security issue that they cannot… More >
Open Access
ARTICLE
Pengshou Xie1, Guoqiang Ma1, *, Tao Feng1, Yan Yan1, 2, Xueming Han1
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1127-1137, 2020, DOI:10.32604/cmc.2020.09695
Abstract Undoubtedly, uncooperative or malicious nodes threaten the safety of Internet
of Vehicles (IoV) by destroying routing or data. To this end, some researchers have
designed some node detection mechanisms and trust calculating algorithms based on
some different feature parameters of IoV such as communication, data, energy, etc., to
detect and evaluate vehicle nodes. However, it is difficult to effectively assess the trust
level of a vehicle node only by message forwarding, data consistency, and energy
sufficiency. In order to resolve these problems, a novel mechanism and a new trust
calculating model is proposed in this paper. First, the four tuple… More >
Open Access
ARTICLE
Xiaorong Zhao1, Weili Cheng2, Hongjin Zhu1, Chunpeng Ge3, Gengyuan Zhou1, *, Zhongjun Fu1
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1139-1151, 2020, DOI:10.32604/cmc.2020.010220
Abstract With the development of the times, people’s requirements for communication
technology are becoming higher and higher. 4G communication technology has been
unable to meet development needs, and 5G communication technology has emerged as
the times require. This article proposes the design of a low-noise amplifier (LNA) that
will be used in the 5G band of China Mobile Communications. A low noise amplifier for
mobile 5G communication is designed based on Taiwan Semiconductor Manufacturing
Company (TSMC) 0.13 μm Radio Frequency (RF) Complementary Metal Oxide
Semiconductor (CMOS) process. The LNA employs self-cascode devices in currentreuse configuration to enable lower supply voltage operation… More >
Open Access
ARTICLE
Linze Wang1, Dedong Gao1, *, Jiajie Fu1, Yuzhou Luo2, Shijian Zhao1
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1153-1169, 2020, DOI:10.32604/cmc.2020.010073
Abstract In order to get to the desired target inside the body, it is essential to investigate
the needle-tissue coupling process and calculate the tissue deformation. A cantilever
beam model is presented to predicting the deflection and bending angle of flexible needle
by analyzing the distribution of the force on needle shaft during the procedure of needle
insertion into soft tissue. Furthermore, a finite element (FE) coupling model is proposed
to simulate the needle-tissue interactive process. The plane and spatial models are created
to relate the needle and tissue nodes. Combined with the cantilever beam model and the
finite element needle-tissue… More >
Open Access
ARTICLE
Jin Han1, Wenhao Jiang1, Jin Shi2, *, Sun Xin2, Jin Peng2, Haibo Liu3
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1171-1184, 2020, DOI:10.32604/cmc.2019.07447
Abstract The assessment of the fairness of health resource allocation is an important
part of the study for the fairness of social development. The data used in most of the
existing assessment methods comes from statistical yearbooks or field survey sampling.
These statistics are generally based on administrative areas and are difficult to support a
fine-grained evaluation model. In response to these problems, the evaluation method
proposed in this paper is based on the query statistics of the geographic grid of the target
area, which are more accurate and efficient. Based on the query statistics of hot words in
the geographic… More >
Open Access
ARTICLE
Xinliang Tang1, Xing Sun1, Zhenzhou Wang1, Pingping Yu1, Ning Cao2, *, Yunfeng Xu3
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1185-1198, 2020, DOI:10.32604/cmc.2020.010283
Abstract The appearance of pedestrians can vary greatly from image to image, and
different pedestrians may look similar in a given image. Such similarities and variabilities
in the appearance and clothing of individuals make the task of pedestrian re-identification
very challenging. Here, a pedestrian re-identification method based on the fusion of local
features and gait energy image (GEI) features is proposed. In this method, the human
body is divided into four regions according to joint points. The color and texture of each
region of the human body are extracted as local features, and GEI features of the
pedestrian gait are also… More >
Open Access
ARTICLE
Pingping Yu1, Wenjie Duan1, Yi Sun2, Ning Cao3, *, Zhenzhou Wang1, Guojun Lu4
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1199-1217, 2020, DOI:10.32604/cmc.2020.010384
Abstract Human eye detection has become an area of interest in the field of computer
vision with an extensive range of applications in human-computer interaction, disease
diagnosis, and psychological and physiological studies. Gaze-tracking systems are an
important research topic in the human-computer interaction field. As one of the core
modules of the head-mounted gaze-tracking system, pupil positioning affects the
accuracy and stability of the system. By tracking eye movements to better locate the
center of the pupil, this paper proposes a method for pupil positioning based on the
starburst model. The method uses vertical and horizontal coordinate integral projections
in the… More >
Open Access
ARTICLE
Ying Chen1, 2, Yibin Tang3, Lin Zhou1, Yan Zhou3, 4, Jinxiu Zhu3, Li Zhao1, *
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1219-1232, 2020, DOI:10.32604/cmc.2020.010638
Abstract Graph filtering, which is founded on the theory of graph signal processing, is
proved as a useful tool for image denoising. Most graph filtering methods focus on learning
an ideal lowpass filter to remove noise, where clean images are restored from noisy ones by
retaining the image components in low graph frequency bands. However, this lowpass filter
has limited ability to separate the low-frequency noise from clean images such that it makes
the denoising procedure less effective. To address this issue, we propose an adaptive
weighted graph filtering (AWGF) method to replace the design of traditional ideal lowpass
filter. In… More >
Open Access
ARTICLE
Zhengtao Liu1, *, Yun Yang1, Wen Gu1, Jinyue Xia2
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1233-1245, 2020, DOI:10.32604/cmc.2020.010846
Abstract Most cloud services are built with multi-tenancy which enables data and
configuration segregation upon shared infrastructures. It offers tremendous advantages
for enterprises and service providers. It is anticipated that this situation will evolve to
foster cross-tenant collaboration supported by Authorization as a service. To realize
access control in a multi-tenant cloud computing environment, this study proposes a
multi-tenant cloud computing access control model based on the traditional usage access
control model by building trust relations among tenants. The model consists of three submodels, which achieve trust relationships between tenants with different granularities and
satisfy the requirements of different application scenarios.… More >
Open Access
ARTICLE
Jinqiao Dai1, Shibin Zhang1, *, Yan Chang1, Xueyang Li1, Tao Zheng1, Jinyue Xia2
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1247-1260, 2020, DOI:10.32604/cmc.2020.010550
Abstract In order to enable two parties to exchange their secret information equally, we
propose a controlled quantum dialogue protocol based on quantum walks, which
implements the equal exchange of secret information between the two parties with the
help of the controller TP. The secret information is transmitted via quantum walks, by
using this method, the previously required entangled particles do not need to be prepared
in the initial phase, and the entangled particles can be produced spontaneously via
quantum walks. Furthermore, to resist TP’s dishonest behavior, we use a hash function to
verify the correctness of the secret information. The… More >
Open Access
ARTICLE
Zheng Zhang1, Yanan Liu1, *, Qinyuan Zuo1, Lein Harn2, Shuo Qiu1, Yuan Cheng1
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1261-1280, 2020, DOI:10.32604/cmc.2020.010034
Abstract Physical Unclonable Functions (PUFs) can be seen as kind of hardware oneway functions, who are easily fabricated but difficult to clone, duplicate or predict.
Therefore, PUFs with unclonable and unpredictable properties are welcome to be applied
in designing lightweight cryptography protocols. In this paper, a Basic Key Distribution
Scheme (Basic-KDS) based on PUFs is firstly proposed. Then, by employing different
deployment modes, a Random Deployment Key Distribution Scheme (RD-KDS) and a
Grouping Deployment Key Distribution Scheme (GD-KDS) are further proposed based
on the Basic-KDS for large scale wireless sensor networks. In our proposals, a sensor is
not pre-distributed with any… More >
Open Access
ARTICLE
Yuanjing Luo1, Jiaohua Qin1, *, Xuyu Xiang1, Yun Tan1, Zhibin He1, Neal N. Xiong2
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1281-1295, 2020, DOI:10.32604/cmc.2020.010867
Abstract To resist the risk of the stego-image being maliciously altered during
transmission, we propose a coverless image steganography method based on image
segmentation. Most existing coverless steganography methods are based on whole feature
mapping, which has poor robustness when facing geometric attacks, because the contents
in the image are easy to lost. To solve this problem, we use ResNet to extract semantic
features, and segment the object areas from the image through Mask RCNN for
information hiding. These selected object areas have ethical structural integrity and are
not located in the visual center of the image, reducing the information loss… More >
Open Access
ARTICLE
Yongjin Hu1, Yuanbo Guo1, Junxiu Liu2, Han Zhang3, *
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1297-1315, 2020, DOI:10.32604/cmc.2020.010855
Abstract In the field of information security, a gap exists in the study of coreference
resolution of entities. A hybrid method is proposed to solve the problem of coreference
resolution in information security. The work consists of two parts: the first extracts all
candidates (including noun phrases, pronouns, entities, and nested phrases) from a given
document and classifies them; the second is coreference resolution of the selected
candidates. In the first part, a method combining rules with a deep learning model
(Dictionary BiLSTM-Attention-CRF, or DBAC) is proposed to extract all candidates in
the text and classify them. In the DBAC model,… More >
Open Access
ARTICLE
Yuheng Sun1, Ye Mu1, 2, 3, 4, *, Qin Feng5, Tianli Hu1, 2, 3, 4, He Gong1, 2, 3, 4, Shijun Li1, 2, 3, 4, Jing Zhou6
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1317-1328, 2020, DOI:10.32604/cmc.2020.010510
Abstract In large-scale deer farming image analysis, K-means or maximum betweenclass variance (Otsu) algorithms can be used to distinguish the deer from the background.
However, in an actual breeding environment, the barbed wire or chain-link fencing has a
certain isolating effect on the deer which greatly interferes with the identification of the
individual deer. Also, when the target and background grey values are similar, the
multiple background targets cannot be completely separated. To better identify the
posture and behaviour of deer in a deer shed, we used digital image processing to
separate the deer from the background. To address the problems… More >
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