Open Access
ARTICLE
Ayyaz Hussain1, Mohammed Alawairdhi2, Fayez Alazemi3, Sajid Ali Khan4, Muhammad Ramzan2,*
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 857-871, 2020, DOI:10.32604/iasc.2020.010120
Abstract The Computer Aided Diagnosis (CAD) systems are gaining more
recognition and being used as an aid by clinicians for detection and interpretation
of diseases every passing day due to their increasing accuracy and reliability. The
lung(s) nodule detection is a very crucial and difficult step for CAD systems. In
this paper, a hybrid approach for the lung nodule detection using a deformable
model and distance transform has been proposed. The proposed method has the
ability to detect all major kinds of nodules such as the juxta-plueral, isolated, and
the juxta-vescular, along with the non-solid nodules automatically and
intelligently. Results show… More >
Open Access
ARTICLE
Liangliang Shi1,2, Peili Lu3, Junchi Yan4,5,*
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 873-885, 2020, DOI:10.32604/iasc.2020.010121
Abstract Causality learning has been an important tool for decision making,
especially for financial analytics. Given the time series data, most existing works
construct the causality network with the traditional regression models and estimate
the causality by pairs. To fulfil a holistic one-shot inference procedure over the
whole network, we propose a new causal inference method for the multidimensional time series data, specifically related to some case studies for the
industrial finance analytics. Specifically, the time series are first converted to the
event sequences with timestamps by fluctuation the detection, and then a multidimensional point process is used for learning the… More >
Open Access
ARTICLE
Zhiyong Dai1,*, Jianjun Yi1, Yajun Zhang1, Liang He2
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 887-903, 2020, DOI:10.32604/iasc.2020.010122
Abstract The rapid development of Internet of Things (IoT) technologies has
boosted smart energy networks in recent years. However, power line surveillance
systems still suffer from the low accuracy and efficiency of the power line area
recognition and risk objects detection. This paper proposes a new customized loss
function to tackle the disequilibrium of the size of objects on multi-scale feature
maps in the deep learning-based detectors. To validate the new concept and
improve the efficiency, we also presented a new object detection model.
Experimental results are provided to exhibit the advantage of our proposed method
in both accuracy and efficiency. More >
Open Access
ARTICLE
Zejian Zhang1, Dawei Wang2,*, Peng Li1, Xiao-Zhi Gao3
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 905-915, 2020, DOI:10.32604/iasc.2020.010123
Abstract In this paper, the stabilization problem of an observer-based T-S fuzzy
time-delay system under imperfect premise matching is studied, in which the T-S
fuzzy observer model with time-delay and the fuzzy controller do not share the
same membership functions. The objective is to design a state observer and unmatching fuzzy controller such that the closed-loop system with time-delay is
asymptotically stable. A sufficient condition for the stabilization via observerbased state feedback under imperfect premise matching is presented, and an
observer-based state feedback controller under imperfect premise is also
constructed. The proposed control scheme is well capable of enhancing the design… More >
Open Access
ARTICLE
Xiaohong Shi1,3, Chao Ma2, Yongsheng Rao3,*, Xiangping Chen4, Jingzhong Zhang3
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 917-932, 2020, DOI:10.32604/iasc.2020.010124
Abstract The interactive educational digital resources (IEDRs) are more and
more prevalent in all levels of education. With the proliferation of the Internet,
more and more IEDRs are being shared online. How to aid users to explore
helpful resources effectively and efficiently has become a challenge. The static
preview of resources that current research has mainly focused on is ineffective
for the IEDRs, because of the unique feature of the IEDRs that the knowledge is
crucial for the users’ comprehension and is hidden in the process of interaction.
To unfold the hidden crucial knowledge and ensure a users’ fast acquisition, we… More >
Open Access
ARTICLE
Tianhong Pan1,*, Ying Song2, Shan Chen2
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 934-946, 2020, DOI:10.32604/iasc.2020.010125
Abstract The Wiener model is widely used in industrial processes. It is
composed of a linear dynamic block and a nonlinear static block. Estimating the
Wiener model is challenging because of the diversity of static nonlinear
functions and the immeasurableness of intermediate signals owing to the series
structure of the Wiener model. Existing optimization algorithms cannot satisfy
the requirements of accuracy and efficiency of identification and often lose into a
local optimum. Herein, a modified Brain Storm Optimization (mBSO) is
proposed to estimate the parameters of the Wiener model. Many different
combinations of individuals from intra or extra-groups ensure the diversity… More >
Open Access
EDITORIAL
Long Wang1,*, Zhe Song2, Chao Huang1, Shancheng Jiang3, Jenq-Haur Wang4
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 947-948, 2020, DOI:10.32604/iasc.2020.010126
Abstract This article has no abstract. More >
Open Access
ARTICLE
Jiangchun Chen1, Zhenhua Wang1,2,*, Jinzhu Zhang1, Weibin Cao1
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 949-959, 2020, DOI:10.32604/iasc.2020.010127
Abstract This study adopted the method of barrel planting to artificially set the
salt content of six different soils (CK:1.5 g kg-1
, T1:3.0 g kg-1
, T2:4.0 g kg-1
, T3:5.3
g kg-1
, T4:6.2 g kg-1
, T5:7.3 g kg-1
) to study the effects of different degrees of mild
salt stress on photosynthetic physiology, growth index and yield of cotton under
drip irrigation. The results showed that with the increasing salt stress and the
prolongation of stress time, the photosynthetic physiological indexes of cotton
showed a downward trend (P < 0.01), and the plant height and leaf area… More >
Open Access
ARTICLE
Yunlong Wang1,2,3, Xiong Luo1,2,4,*, Jing Zhang1,2,3, Zhigang Zhao1, Jun Zhang5
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 961-971, 2020, DOI:10.32604/iasc.2020.010128
Abstract K-means is a simple and commonly used algorithm, which is widely
applied in many fields due to its fast convergence and distinctive performance. In
this paper, a novel algorithm is proposed to help K-means jump out of a local
optimum on the basis of several ideas from evolutionary computation, through
the use of random and evolutionary processes. The experimental results show
that the proposed algorithm is capable of improving the accuracy of K-means
and decreasing the SSE of K-means, which indicates that the proposed algorithm
can prevent K-means from falling into the local optimum to some extent. More >
Open Access
ARTICLE
Maojian Chen1,2,3, Xiong Luo1,2,3,*, Yueqin Zhu4, Yan Li1,2,3, Wenbing Zhao5, Jinsong Wu6
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 973-987, 2020, DOI:10.32604/iasc.2020.010129
Abstract The past decade has witnessed the rapid advancements of geological
data analysis techniques, which facilitates the development of modern agricultural
systems. However, there remains some technical challenges that should be
addressed to fully exploit the potential of those geological big data, while
gathering massive amounts of data in this application field. Generally, a good
representation of correlation in the geological big data is critical to making full use
of multi-source geological data, while discovering the relationship in data and
mining mineral prediction information. Then, in this article, a scheme is proposed
towards intelligent mining of association rules for geological big… More >
Open Access
ARTICLE
Jingxin Yu1,3, Wengang Zheng1,*, Linlin Xu3, Lili Zhangzhong1, Geng Zhang2, Feifei Shan1
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 989-1003, 2020, DOI:10.32604/iasc.2020.010130
Abstract Accurate estimation of reference evapotranspiration (ET0) is a critical
prerequisite for the development of agricultural water management strategies. It is
challenging to estimate the ET0 of a solar greenhouse because of its unique
environmental variations. Based on the idea of ensemble learning, this paper
proposed a novel ET0i estimation model named PSO-XGBoost, which took
eXtreme Gradient Boosting (XGBoost) as the main regression model and used
Particle Swarm Optimization (PSO) algorithm to optimize the parameters of
XGBoost. Using the meteorological and soil moisture data during the two-crop
planting process as the experimental data, and taking ET0i calculated based on the
improved… More >
Open Access
EDITORIAL
Zheng Xu1,*, Qingyuan Zhou2
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1005-1006, 2020, DOI:10.32604/iasc.2020.010132
Abstract This article has no abstract. More >
Open Access
ARTICLE
Bo Li1,3, Di Xiong2,*
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1007-1021, 2020, DOI:10.32604/iasc.2020.010133
Abstract A methodology of on-line monitoring of the diameter of the cathode
electrode is put forward in light of the issue that the diameter of the cathode
electrode cannot be detected in an accurate manner in short electric arc machine
tools. The monitoring methodology is capable of precisely determining the wear
amount of the cathode electrode and uses the bus module in the numerical control
machine tool to feed the wear amount of the cathode electrode back to the
numerical control system (CNC system). The CNC system dynamically adjusts
the position of the cathode electrode by driving the compensation shaft to… More >
Open Access
ARTICLE
Jun Gao1,2,*, Xiao Lin3
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1023-1034, 2020, DOI:10.32604/iasc.2020.010134
Abstract Three-dimensional (3D) modelling of high-speed railways, bad
geology, and special geotechnical engineering inferences may involve problems,
such as inaccurate geological data, hidden underground geological phenomena,
and complex geological processes. In this study, surface geological boundaries,
drainage, transportation networks, covers, lenses, and small geological units are
established using topographic surveying and mapping data, geological data, and
geological exploration data acquisition. The 3D model of the karst system
combines geological and mathematical interpolation curved surface 3D model
simulation analysis, trend surface fitting, and interpolation of the NURBS surface
and correct analysis. The model is used to describe the properties of objects,
including… More >
Open Access
ARTICLE
Chenxi Liu1, Suchun Yang2,*
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1035-1046, 2020, DOI:10.32604/iasc.2020.010135
Abstract Based on an analysis of the development of economic decision support
systems, agents are applied to construct intelligent economic decision support
systems. This paper proposes a task-oriented agent design concept and designs
multiple types of agents to complete the decision-making tasks with the task as the
core. The structure of multi-agent based systems is provided, and the concrete
realization structure of different types of agents in the system is also provided.
Additionally, this study discusses the operational mechanism of the whole system
and the cooperation between multiple agents in the system. Finally, these functions
are implemented through a combination of… More >
Open Access
ARTICLE
JiangtaoLi1,2,*
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1047-1061, 2020, DOI:10.32604/iasc.2020.010136
Abstract In view of poor permeability of coal seam and soft coal quality in
China's coal mining area, a point hydraulic fracturing method suitable for the
occurrence characteristics of coal seam is put forward based on the characteristics
of coal seam hydraulic fracturing and the field practical experience of coal seam
hydraulic fracturing for many years. A theoretical and mathematical model of
hydraulic fracturing is established. Based on the large-scale finite element
software ABAQUS, numerical simulation of two dimensional and three
dimensional hydraulic fracturing is carried out, and the fracture propagation law
and its parameter sensitivity of coal seam point hydraulic… More >
Open Access
ARTICLE
Xuesong Xu, Hongyan Shao, Shengjie Yang*, Rongyuan Chen
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1063-1072, 2020, DOI:10.32604/iasc.2020.010137
Abstract The aim of this study is to consider the economic, resource, energy and
environmental factors in a low-carbon economic efficiency evaluation system and
to analyze the factors affecting iron and steel enterprises. A combined data
envelopment analysis and Malmquist index model have been used in this paper.
We empirically investigate the low-carbon efficiency of the Chinese steel industry
using observations of 17 listed enterprises from 2009 to 2013. The results show
that the economic efficiency of China’s iron & steel enterprises is generally low.
The Malmquist productivity index also shows a decreasing trend. Based on our
findings, some policies are… More >
Open Access
ARTICLE
Fengjuan Wang1,2,*
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1073-1080, 2020, DOI:10.32604/iasc.2020.010138
Abstract The Particle swarm optimization algorithm (PSO) and the simulated
annealing algorithm (SA) are two well-known stochastic and intelligent methods
used for optimization. Both methods have some shortcomings. On the basis of the
shortcomings of PSO and SA, this paper offers an enhanced intelligent group
algorithm on the basis of the roulette rule to improve the parameter velocity ν of
(PSO) and the initial temperature of SA algorithm. This paper gives a detailed
introduction to the principle and flow of the new algorithm and introduces the
application status of the new algorithm. More >
Open Access
ARTICLE
Yefeng Liu1,2,*, Yuan Zhao1,2, Kangju Li1,2, Shengping Yu3, Shaowu Li4
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1081-1096, 2020, DOI:10.32604/iasc.2020.010139
Abstract The intelligent flexible system is a powerful means for manufacturing
enterprises to achieve high efficiency and high output. The physical structure of
the flexible system is constructed in this paper. The three systems; workshop
intelligent logistics system, management and control system and three flexible
processing that produce four products are given by the deeper design. The local
workshop net which contains; position sensors, radio frequency identification
(RFID), AGVs, intelligent machine, robots, raw materials and operation devices
is constructed in this paper. The software, which includes gages, real-time
workshops, logistics trolley, and information of all kinds of logistics process and
processing,… More >
Open Access
ARTICLE
Min Zhu1,2,3,#, Huiyu Jin1,#, Ruxue Chen1, Quanyi Huang2,3, Shaobo Zhong4, Guang Tian1,*
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1097-1109, 2020, DOI:10.32604/iasc.2020.010140
Abstract In a disaster, mass casualties lead to a surge in demand for medical
services. Some relief actions have been criticized for being ill-adapted to
dominating medical needs. This research established a disaster medical relief
planning model in 3 steps. 1. Establishing the two-level conceptual model.
2. Using the ontology method to describe the hierarchy and relating rules of the
terms and concepts associated with the model. 3. Using an ontology-support casebased reasoning approach to build the case similarity matching process, which can
provide a more efficient system for decision support. A case study validated the
model and demonstrated its usage. More >
Open Access
ARTICLE
Tianmu Li1,2, Yongjun Ren1,2,*, Jinyue Xia3
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1111-1122, 2020, DOI:10.32604/iasc.2020.012531
Abstract Blockchain technology has recently obtained widespread attention. And
it is being regarded as potentially even more disruptive than the Internet, whose
usage includes large areas of applications ranging from crypto currency, financial
services, reputation system, Internet of Things, sharing economy to public and
social services. The existing works of blockchain primarily are focused on key
components and potential applications. However, in the existing blockchain systems, the waiting time of transactions is too long. Furthermore, it may produce
serious consequences because many important transactions are not handled
timely. To solve the problem, in the paper, the blockchain Queuing model with
non-preemptive… More >
Open Access
ARTICLE
Dongli Wu1, Yunping Liu2,3,*, Ze Xu2,3, Weiyan Shang4
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1123-1138, 2020, DOI:10.32604/iasc.2020.012757
Abstract In view of the paucity of hydrometeorological data, inefficiency and
high cost of manual detection, a design scheme of meteorological monitoring
unmanned surface vehicle (USV) based on STM32 MCU (Microcontroller Unit,
which is also known as Single Chip Microcomputer) is proposed in this paper.
The path planning is designed by combining the image data acquired by camera
with improved RRT-path algorithm (rapidly-exploring random tree algorithm
based on auxiliary path), and then motors are controlled so as to realize autonomous cruise control of USV using the incremental PID algorithm. In addition, the
design can also realize real-time monitoring of meteorological data… More >
Open Access
ARTICLE
Yang Yang1,*, Qian Zhao1, Linna Ruan2, Zhipeng Gao1, Yonghua Huo3, Xuesong Qiu1
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1139-1155, 2020, DOI:10.32604/iasc.2020.011705
Abstract In network anomaly detection, network traffic data are often imbalanced, that is, certain classes of network traffic data have a large sample data
volume while other classes have few, resulting in reduced overall network traffic
anomaly detection on a minority class of samples. For imbalanced data, researchers have proposed the use of oversampling techniques to balance data sets; in particular, an oversampling method called the SMOTE provides a simple and
effective solution for balancing data sets. However, current oversampling methods
suffer from the generation of noisy samples and poor information quality. Hence,
this study proposes an oversampling method for imbalanced… More >
Open Access
ARTICLE
Jin Wang1,2, Wencheng Chen1, Lei Wang3, Yongjun Ren4,*, R. Simon Sherratt5
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1157-1172, 2020, DOI:10.32604/iasc.2020.012174
Abstract With the development of the Industrial Internet of Things and the continuous expansion of application scenarios, many development bottlenecks have
followed. Its data security issue has become an obstacle to its widespread application. It has attracted substantial attention from both academia and industry. Blockchain technology has the characteristics of decentralization, openness and
transparency and non-tampering. It has natural advantages in solving the security
of the Industrial Internet of Things. Accordingly, this paper first analyzes the
security risks associated with data storage in the Industrial Internet of Things
and proposes the use of blockchain technology to ensure the secure storage of… More >
Open Access
ARTICLE
Chuanrong Wu1,*, Huayi Yin1, Xiaoming Yang2, Zhi Lu3, Mark E. McMurtrey4
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1173-1184, 2020, DOI:10.32604/iasc.2020.014961
Abstract Nowadays big data knowledge is being bought and sold online for market research, new product development, or other business decisions, especially
when customer demands and consumer preferences knowledge for new product
development are needed. Previous studies have introduced two commonly used
pricing schemes for big data knowledge transactions (e.g., cloud services): Subscription pricing and pay-per-use pricing from a big data knowledge provider’s
standpoint. However, few studies to date have investigated a two-part tariff pricing scheme for big data knowledge transactions, albeit this pricing scheme
may increasingly attract the big data knowledge providers in this hyper-competitive
market. Also, little research has… More >
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