Open Access
ARTICLE
Nancy Arana-Daniel, Carlos Villaseñor, Carlos López-Franco, Alma Y. Alanís, Roberto Valencia-Murillo
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 461-467, 2018, DOI:10.1080/10798587.2017.1299356
Abstract Structure from Motion algorithms offer good advantages, such as extract 3D information in monocular
systems and structures estimation as shown in Hartley & Zisserman for numerous applications, for
instance; augmented reality, autonomous navigation, motion capture, remote sensing and object
recognition among others. Nevertheless, this algorithm suffers some weaknesses in precision. In the
present work, we extent the proposal in Arana-Daniel, Villaseñor, López-Franco, & Alanís that presents
a new strategy using bio-inspired intelligence algorithm and Conformal Geometric Algebra, based in
the object mapping paradigm, to overcome the accuracy problem in two-view Structure form motion
algorithms. For this instance, we include two… More >
Open Access
ARTICLE
Noé G. Aldana-Murillo, Jean-Bernard Hayet, Héctor M. Becerra
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 471-481, 2018, DOI:10.1080/10798587.2017.1304508
Abstract In this paper, we address the problem of the appearance-based localization of a humanoid robot, in
the context of robot navigation. We only use information obtained by a single sensor, in this case the
camera mounted on the robot. We aim at determining the most similar image within a previously
acquired set of key images (also referred to as a visual memory) to the current view of the monocular
camera carried by the robot. The robot is initially kidnapped and the current image has to be compared
with the visual memory. To solve this problem, we rely on a hierarchical… More >
Open Access
ARTICLE
Leo Rajua, R. S. Miltonb, Senthilkumaran Mahadevana
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 483-491, 2018, DOI:10.1080/10798587.2017.1305647
Abstract The objective of this paper is to monitor and control a micro-grid model developed in MATLABSimulink through Multi Agent System (MAS) for autonomous and distributed energy management.
Since MATLAB/Simulink is not compatible with parallel operations of MAS, MAS operating in Java Agent
Development Environment (JADE) is linked with MATLAB/Simulink through Multi Agent Control using
Simulink with Jade extension (MACSimJX). This allows the micro-grid system designed with Simulink
to be controlled by MAS for realizing the advantages of MAS in distributed and decentralized microgrid systems. JADE agents receive environmental information through Simulink and they coordinate
to take best possible action, which… More >
Open Access
ARTICLE
Amin Alqudah1,2, Hussein R. Al-Zoubi2, Mahmood A. Al-Khassaweneh2,3, Mohammed Al-Qodah1
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 493-505, 2018, DOI:10.31209/2018.100000005
Abstract Handwritten numeral recognition is one of the most popular fields of research
in automation because it is used in many applications. Indeed, automation
has continually received substantial attention from researchers. Therefore,
great efforts have been made to devise accurate recognition methods with
high recognition ratios. In this paper, we propose a method for integrating
the correlation coefficient with a Self-Organizing Maps (SOM)-based
technique to recognize offline handwritten Arabic decimal digits. The
simulation results show very high recognition rates compared with the rates
achieved by other existing methods. More >
Open Access
ARTICLE
Laith Sawaqed1, Khaled S. Hatamleh1,2, Mohammad A. Jaradat1,2, Qais Khasawneh1,3
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 507-515, 2018, DOI:10.31209/2018.100000039
Abstract Over the past few years, there has been a growing demand to develop efficient
precision mechanisms for fine moving applications. Therefore, several
piezoelectric driven mechanisms have been proposed for such applications. In
this work an optimal synthesis of a four-bar mechanism with three PEAs is
proposed. Two evolutionary multi-objective Genetic Algorithms (GAs) are
formulated and applied; A Genetic Algorithm Synthesis method (GAS) is first
used to obtain a synthesis solution for the mechanism regardless of power
consumption. Then another Genetic Algorithm Minimum Power Synthesis
method (GAMPS) is used to obtain the synthesis solution of minimum power
consumption. For that purpose,… More >
Open Access
EDITORIAL
Zheng Xu, Zhiguo Yan
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 517-518, 2018, DOI:10.31209/2018.100000018
Abstract This article has no abstract. More >
Open Access
ARTICLE
Tao Liu, Gan Huang*, Ping Zhang
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 519-529, 2018, DOI:10.31209/2018.100000019
Abstract In this article, a new user authentication protocol using trust model, elliptic curve
cryptography and biometrics for WSNs is submitted. The result of the trust model
analysis indicates that the model can improve the model’s ability of withstanding
attacks from the malicious nodes. The results of safety analysis and performance
analysis for our proposed user authentication protocol demonstrate that this
protocol can be flexible to all sorts of common known attacks and performs
similarly or better compared with some active user authentication protocols. It is
suitable for WSNs which have a prominent request for the security and the
performance. More >
Open Access
ARTICLE
Yuhua Penga, Dingyue Chena, Lihao Chenb, Jiayu Yub, Mengjie Baoa
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 531-539, 2018, DOI:10.31209/2018.100000020
Abstract For the study of the effect of deicing with carbon fiber heating wire in the
bridge pavement structure, through built-in carbon fiber heating wire in the
bridge pavement structure, experimental studies were carried out indoor on the
effects of thermal conductivity in different embedding positions, layout spacing
and the installs power of carbon fiber heating wire. With indoor laboratory test
data as the basic parameters, using ABAQUS finite element software simulation,
an analysis was carried out of the degree that the surface temperature of the
heating wire, the thermal physical parameters of asphalt concrete, and
environmental conditions have influence on… More >
Open Access
ARTICLE
Guobao Zhanga,b, Jing-Jing Xionga,b, Yongming Huanga,b, Yong Lua,b,c, Ling Wanga,b
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 541-551, 2018, DOI:10.31209/2018.100000021
Abstract This paper investigates the delay-dependent stability problem of recurrent neural
networks with time-varying delay. A new and less conservative stability criterion is
derived through constructing a new augmented Lyapunov-Krasovskii functional
(LKF) and employing the linear matrix inequality method. A new augmented LKF
that considers more information of the slope of neuron activation functions is
developed for further reducing the conservatism of stability results. To deal with
the derivative of the LKF, several commonly used techniques, including the
integral inequality, reciprocally convex combination, and free-weighting matrix
method, are applied. Moreover, it is found that the obtained stability criterion has
a lower… More >
Open Access
ARTICLE
JUN WANG
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 553-561, 2018, DOI:10.31209/2018.100000022
Abstract The water conservancy industry is one of the oldest fundamental industries in
human history with high attention all the time, which is a vital factor to national
well-being and people’s livelihood. The “Five Water Governance” is one of
important strategies as a breakthrough to force transforming and upgrading for
ecological water conservancy and sustainable development. A regional dynamic
CGE model was constructed to simulate and analyze the short-term and longterm influence of the water conservancy investment to water conservancy
industry itself, other national economy sectors and macro economy, so as to
provide scientific proof for policy-making of water conservancy, and… More >
Open Access
ARTICLE
Jinsong Donga, Hongwei Zhanga, Ronghui Zhangb,*, Xiaohong Jinc, Fang Chend
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 563-570, 2018, DOI:10.31209/2018.100000023
Abstract The research on braking performance a of tractor-semitrailer is a hard and
difficult point in the field of vehicle reliability and safety technology. In this paper,
the tire braking model and the dynamic characteristic model of the brake torque
with the variable of the controlling air pressure were established. We also
established a nonlinear kinematic model of the tractor-semitrailer when it brakes
on a curve. The parameters and variables of the model were measured and
determined by the road experiment test. The optimal control strategy for the
tractor-semitrailer based on the optimal slipping ratio was proposed. Then the
PID controller… More >
Open Access
ARTICLE
Dayong Yu
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 571-580, 2018, DOI:10.31209/2018.100000024
Abstract In the application of a semi-physical simulation system of a space docking mechanism,
the simulation precision is determined by pose accuracy of the parallel manipulator. In
order to improve pose accuracy, an effective kinematic calibration method is presented to
enable the full set of kinematic parameter errors to be estimated by measuring the
docking mechanism’s poses. A new calibration model that takes into account geometrical
parameter errors and coordinates transformation errors is derived by using a differential
geometry method. Based on the calibration model, an iterative least square algorithm is
utilized to calculate the above errors. Simulation and experimental results… More >
Open Access
ARTICLE
Huanyu Zhao, Guoqiang Wang, Shuai Wang, Ruipeng Yang, He Tian, Qiushi Bi
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 581-592, 2018, DOI:10.31209/2018.100000025
Abstract Articulated tracked vehicles have high mobility and steering performance. The
unique structure of articulated tracked vehicles can avoid the subsidence of
tracks caused by high traction from instantaneous braking and steering. In
order to improve the accuracy of the steady-state steering of the articulated
tracked vehicle, the velocity of both sides of the track and the deflection angle
of the articulated point need to match better to achieve the purpose of steering
accurately and reduce energy consumption and wear of components. In this
study, a virtual prototype model of the articulated tracked vehicle is established
based on the multi-body dynamic… More >
Open Access
ARTICLE
MengYuan Chen1,2
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 593-602, 2018, DOI:10.31209/2018.100000026
Abstract With the increasing number of feature points of a map, the dimension of
systematic observation is added gradually, which leads to the deviation of the
volume points from the desired trajectory and significant errors on the state
estimation. An Iterative Squared-Root Cubature Kalman Filter (ISR-CKF)
algorithm proposed is aimed at improving the SR-CKF algorithm on the
simultaneous localization and mapping (SLAM). By introducing the method of
iterative updating, the sample points are re-determined by the estimated value
and the square root factor, which keeps the distortion small in the highly nonlinear
environment and improves the precision further. A robust tracking… More >
Open Access
ARTICLE
Kaijun Xu1, Xueting Chen2, Yusheng Yao1, Shanshan Li1
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 603-611, 2018, DOI:10.31209/2018.100000027
Abstract The lateral conflict risk assessment of low-altitude training airspace strategic
planning, which is based on the TSE errors has always been a difficult task for
training flight research. In order to effectively evaluate the safety interval and
lateral collision risk in training airspace, in this paper, TSE error performance
using a weakly supervised learning method was modelled. First, the lateral
probability density function of TSE is given by using a multidimensional random
variable covariance matrix, and the risk model of a training flight lateral collision
based on TSE error is established. The lateral conflict risk in specific training
airspace is… More >
Open Access
ARTICLE
Youquan Chen, Xinhui Liu, Xin Wang, Jinshi Chen
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 613-622, 2018, DOI:10.31209/2018.100000028
Abstract In order to study the braking energy regeneration characteristics of the Frontmounted Parallel Hydraulic Hybrid Crane (FPHHC), the AMESim simulation
models are established and analyzed by establishing the vehicle dynamics
model and referencing to the actual data of the crane and physical hydraulic
components, the simulation results are verified by road tests on the
experimental prototype. The experiment results basically match with the
simulation results. In the vehicle braking process, the hydraulic hybrid system
of the experimental prototype can effectively recycle the vehicle braking
energy, the energy recovery rate is up to 50.84%, and the energy-saving effect
is obvious. The… More >
Open Access
ARTICLE
Jun Zhou, Zhenzhen Ge
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 623-631, 2018, DOI:10.31209/2018.100000029
Abstract In this paper, an adaptive integrated guidance and control (IGC) scheme for the homing
missile is proposed based on the novel continuous characteristic model and the dynamic
surface control technique. The novel continuous characteristic model is first proposed in
the presence of unknown model coefficients and uncertainties. Then, the dynamic surface
control technique is applied to the continuous characteristic model. The proposed IGC
scheme guarantees the line-of-sight angular rates converge to an arbitrarily small
neighbourhood of zero and all the closed-loop signals to be semi-globally uniformly
ultimately bounded, which is proven using the Lyapunov stability theory. Finally, the
effectiveness of… More >
Open Access
ARTICLE
Ling Wu1, Haoxue Liu2, Tong Zhu2, Yueqi Hu3
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 633-642, 2018, DOI:10.31209/2018.100000030
Abstract The objective of the current study was to examine how experienced and
inexperienced driver behaviour changed (including heart rate and longitudinal
speeds) when approaching and exiting highway tunnels. Simultaneously, the
NARX neural network was used to predict real-time speed with the heart rate
regarded as the input variable. The results indicated that familiarity with the
experimental route did decrease drivers’ mental stress but resulted in higher
speed. The proposed NARX model could predict synchronous speed with high
accuracy. These results of the present study concern how to establish the
automated driver model in the simulation environment. More >
Open Access
ARTICLE
Lin Gao, Mingzhen Wang
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 643-651, 2018, DOI:10.31209/2018.100000031
Abstract With the rapid development of the petrochemical industry, the number of largescale oil storage tanks has increased significantly, and many storage tanks are
located in potential seismic regions. It is very necessary to analyze seismic
response of oil storage tanks since their damage in an earthquake can lead to
serious disasters and losses. In this paper, three models of vertical cylindrical oil
storage tank in different sizes, which are commonly used in practical
engineering are established. The dynamic characteristics, sloshing wave height
and hydrodynamic pressure of the oil tank considering the liquid-structure
coupling effect are analyzed by using ADINA finite… More >
Open Access
ARTICLE
Wei Qin, Xiangfeng Luo
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 653-661, 2018, DOI:10.31209/2018.100000032
Abstract Concept learning has attracted considerable attention as a means to tackle
problems of representation and learning corpus knowledge. In this paper, we
investigate a challenging problem to automatically construct a patent concept
learning model. Our model consists of two main processes; which is the
acquisition of the initial concept graph and refined process for the initial concept
graph. The learning algorithm of a patent concept graph is designed based on the
Association Link Network (ALN). A concept is usually described by multiple
documents utilizing ALN here in concept learning. We propose a mixture-ALN,
which add links between documents and the… More >
Open Access
ARTICLE
Changjiang Liu1, Xuling Wu2, Bing Mo1, Yi Zhang3
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 671-678, 2018, DOI:10.31209/2018.100000033
Abstract With continuing commercialization of remote sensing satellites, the high
resolution remote sensing image has been increasingly used in various fields of
our life. However, processing technology of high resolution remote sensing
images is still a tough problem. How to extract useful information from the
massive information in high resolution remote sensing images is significant to
the subsequent process. A multi-phase oil tank recognition of remote sensing
images, namely coarse detection and artificial neural network (ANN)
recognition, is proposed. The experimental results of algorithms presented in
this paper show that the proposed processing technology is reliable and
effective. More >
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