Open Access
ARTICLE
Wei Zhang1, Weifeng Shi2, Bing Sun3
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 423-431, 2019, DOI:10.31209/2018.100000045
Abstract An intelligent optimization algorithm for a marine generator excitation controller
is proposed to improve dynamic performance of shipboard power systems. This
algorithm combines a belief–desire–intention agent with a quantum-behaved
particle swarm optimization (QPSO) algorithm to optimize a marine generator
excitation controller. The shipboard zonal power system is simulated under
disturbance due to load change or severe fault. The results show that the
proposed optimization algorithm can improve marine generator stability
compared with conventional excitation controllers under various operating
conditions. Moreover, the proposed intelligent algorithm is highly robust because
its performance is insensitive to the accuracy of system parameters. More >
Open Access
ARTICLE
R. Rohini1, Dasari Narasimha Rao2, S. Ravi3, V. Sampath Kumar4
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 433-440, 2019, DOI:10.31209/2018.100000015
Abstract Improving Available Transfer Capability is an important issue in the deregulated
power systems. The Available Transfer Capability of a transmission network is
the transfer capabilities of a transmission network for the transfer of power for
further commercial activity, over and above already committed usage. It is a
proven fact that Flexible Alternating Current Transmission System technology
can control voltage magnitude, phase angle, and circuit reactance. Therefore, it
is important to investigate the impact of Flexible Alternating Current
Transmission System controllers on the available transfer capability. This paper
is focuses on the evaluation impact of Thyristor controlled switched capacitors
and static… More >
Open Access
ARTICLE
Fecir Duran1, Mustafa Teke2
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 441-449, 2019, DOI:10.31209/2018.11006161
Abstract Ultrasonic cleaners are devices that perform ultrasonic cleaning by using
ultrasonic converters. Ultrasonic cleaners have been employed to clean dirty
and rusty materials such as optic, jewelers, automotive and dental prosthesis
sectors. Due to non-identified correctly cleaning time, cavitation erosion has
been occurred at some materials, which desire for cleaning. In this study, an
intelligent cleaning device that runs autonomously identified cleaning time,
saves energy, and makes the cleaning process safely has been designed and
implemented. An ultrasonic cleaning time has been adjusted automatically by
monitoring of turbidity and conductivity values of liquid that is put in to the
cleaning… More >
Open Access
ARTICLE
Li-Hong Juang1, Shengxiang Zhang2
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 451-458, 2019, DOI:10.31209/2019.100000126
Abstract Intelligent robots are the combination of computer engineering, software
engineering, control engineering, electronic engineering, mechanical
engineering, and systems design engineering in order to design, and
manufacture useful products. In this paper, the author derives some novel
computing and algorithm applications on computer vision and image processing
and intelligent control and navigation of mobile robots for the intelligent service
robot system. In this paper, we proposed an idea of flexible design for a
intelligent service robot, which refers to a single robot with a variety of flexure
structure. We presented an integrated system for vision-guided finding the
person and completing obstacle… More >
Open Access
ARTICLE
S. Deivalakshmi*, P. Palanisamy1, X. Z. Gao2
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 459-471, 2019, DOI:10.31209/2018.100000001
Abstract The main aim of this paper is to propose a new technique for enhancing the
contrast of dark images using Dynamic Stochastic Resonance (DSR) and Multi
Wavelet Transform (MWT), which is computationally more efficient than the
conventional methods. In the work, for enhancing the contrast of dark images,
the intrinsic noise (darkness) of dark images has been used. The proposed
MWT-based DSR scheme (MWT-DSR) can yield better performances in terms of
visual information and color preservation than already reported techniques. The
desired output response is validated by the Relative Contrast Enhancement
Factor (F), Perceptual Quality Measures (PQM) and Color Enhancement… More >
Open Access
ARTICLE
Ahsan Hussain, Bettahally N. Keshavamurthy, Ravi Prasad K. Jagannath
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 473-486, 2019, DOI:10.31209/2018.11007092
Abstract Prediction space of distinct check-in locations in Location-Based Social Networks
is a challenge. In this paper, a thorough analysis of Foursquare Check-ins is
done. Based on previous check-in sequences, next location of social-users is
accurately predicted using multinomial-Hidden Markov Model (mHMM) with
Steady-State probabilities. This information benefits security-agencies in
tracking suspects and restaurant-owners to predict their customers’ arrivals at
different venues on given days. Higher accuracy and Steady-State venuepopularities obtained for location-prediction using the proposed method,
outperform various other baseline methods. More >
Open Access
ARTICLE
Hong-Sen Yan1,2, Jiao-Jun Zhang1,2, Qi-Ming Sun1,2
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 487-507, 2019, DOI:10.31209/2018.100000037
Abstract MTN optimal control scheme of SISO nonlinear time-varying discrete-time
systems based on multi-dimensional Taylor network (MTN) is proposed to
achieve the real-time output tracking control for a given reference signal.
Firstly, an ideal output signal is selected and Pontryagin minimum principle
adopted to obtain the numerical solution of the optimal control law for the
system relative to the ideal output signal, with the corresponding optimal
output termed as desired output signal. Then, MTN optimal controller (MTNC) is
generated automatically to fit the optimal control law, and the conjugate
gradient (CG) method is employed to train the weight parameters of MTNC… More >
Open Access
EDITORIAL
Ying Li1, Honghao Gao2, Yueshen Xu3
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 511-512, 2019, DOI:10.31209/2019.100000107
Abstract This article has no abstract. More >
Open Access
ARTICLE
Yanmei Zhang1, Xiao Geng2, Shuiguang Deng3
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 513-525, 2019, DOI:10.31209/2019.100000108
Abstract With the development of service computing technologies, the online services
are massive and disordered now. How to find appropriate services quickly and
build a more powerful composed service according to user interests has been a
research focus in recent years. Current service recommendation algorithms
often directly follow the traditional recommendation framework of ecommerce,
which cannot effectively assist users to complete dynamic online business
construction. Therefore, a novel service recommendation approach named
UISCS (User-Interest- initial Services-Correlation-successor Services) is
proposed, which is designed for interactive scenario of service composition, and
it mines the user implicit interests and the service correlations for service… More >
Open Access
ARTICLE
Jilin Zhang1,4,5, Xuechao Liu1,5, Jian Wan2,1,5, Yongjian Ren1,5, Binglin Xu1,5, Jianfan He1,5, Yuchen Fan1,5, Li Zhou1,5, Zhenguo Wei6, Juncong Zhang6, Jue Wang3
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 527-546, 2019, DOI:10.31209/2019.100000109
Abstract A numerical optimization algorithm for unsteady flows of rotor based on web
service is proposed. Space discretization uses the finite volume method, time
discretization uses the implicit dual-time steps method, and turbulence model
uses the Spalart–Allmaras (S–A) model. In order to efficiently use the
computing resources of the cluster, a service-oriented service computing
architecture is used in a parallel computing service program. In order to realize
the load balance of hybrid grid partition, the grid is partitioned by Metis Library.
Meanwhile, data communication based on Message Passing Interface (MPI)
technology guarantees the consistency of convergence between parallel
algorithm and serial… More >
Open Access
ARTICLE
Honghao Gao1, 2, 5, Wanqiu Huang1, 4, Xiaoxian Yang3
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 547-559, 2019, DOI:10.31209/2019.100000110
Abstract Path planning is an important topic of research in modern intelligent traffic
systems (ITSs). Traditional path planning methods aim to identify the shortest
path and recommend this path to the user. However, the shortest path is not
always optimal, especially in emergency rescue scenarios. Thus, complex and
changeable factors, such as traffic congestion, road construction and traffic
accidents, should be considered when planning paths. To address this
consideration, the maximum passing probability of a road is considered the
optimal condition for path recommendation. In this paper, the traffic network is
abstracted as a directed graph. Probabilistic data on traffic flow… More >
Open Access
ARTICLE
Yu Zhang1,2, Yan-Ge Wang1, Yan-Ping Bai3, Yong-Zhen Li1,4, Zhao-Yong Lv5, Hong-Wei Ding6
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 561-572, 2019, DOI:10.31209/2019.100000111
Abstract Rockburst phenomenon is a kind of phenomenon that the rock is out and ejected
because the mineral was dug out, and the original force balance was destroyed in
the process of mineral exploitation. From 2007, GeoLab (abbreviation of State Key
Laboratory in China for GeoMechanics and Deep Underground Engineering) had
made a series of important achievements in rockburst. Up to now, GeoLab’s
rockburst experiment data is reached 800T, and these data may occupy about
2PB hard disk space after analyzed. At this ratio, GeoLab need to buy a new hard
disk to save all these data every 46 hours rockburst… More >
Open Access
ARTICLE
Wang Hui1, Sun Guang-Yu2,5, Zhang Qin-Yan2, Liu Kai-Min3, Xi Meng3, Zhang Yuan-Yuan4
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 573-583, 2019, DOI:10.31209/2019.100000112
Abstract With the current explosion of mobile applications and smart devices, more
organizations are beginning to expose Web APIs, which makes APIs more
widely used. How can these APIs be managed and utilized safely and effectively
for businesses? It is not easy to say. Today's Web services mainly include
traditional structured WSDL and unstructured RESTful. A RESTful architecture
can effectively constrain and help to achieve a simpler, lighter, and more
scalable system. How to uniformly organize and merge RESTful APIs is also a
problem to be solved. To solve the above problems, this article has designed an
API management system that… More >
Open Access
ARTICLE
Weilie Liu, Jialing He, Meng Li, Rui Jin, Jingjing Hu, Zijian Zhang
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 585-593, 2019, DOI:10.31209/2019.100000113
Abstract Smart energy disaggregation is receiving increasing attention because it can be
used to save energy and mine consumer's electricity privacy by decomposing
aggregated meter readings. Many smart energy disaggregation schemes have
been proposed; however, the accuracy and efficiency of these methods need to
be improved. In this work, we consider a supervised energy disaggregation
method which initially learns the power consumption of each appliance and
then disaggregates meter readings using the previous learning result. In this
study, we improved the fast search and find of density peaks clustering
algorithm to cluster appliance power signals twice to learn appliance feature
matrices.… More >
Open Access
ARTICLE
Min Cao1, Sijing Zhou1, Honghao Gao1,2,3
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 595-604, 2019, DOI:10.31209/2019.100000114
Abstract Recommender methods using reviews have become an area of active research
in e-commerce systems. The use of auxiliary information in reviews as a way to
effectively accommodate sparse data has been adopted in many fields, such as
the product field. The existing recommendation methods using reviews typically
employ aspect preference; however, the characteristics of product reviews are
not considered adequate. To this end, this paper proposes a novel
recommendation approach based on using product attributes to improve the
efficiency of recommendation, and a hybrid collaborative filtering is presented.
The product attribute model and a new recommendation ranking formula are
introduced… More >
Open Access
ARTICLE
Tongmao Ma1,2, Shanchen Pang1, Weiguang Zhang1, Shaohua Hao1
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 605-613, 2019, DOI:10.31209/2019.100000115
Abstract In cloud computing, task scheduling is a challenging problem in cloud data
center, and there are many different kinds of task scheduling strategies. A good
scheduling strategy can bring good effectiveness, where plenty of parameters
should be regulated to achieve acceptable performance of cloud computing
platform. In this work, combined elitist strategy, three parameters values
oriented genetic algorithms are proposed. Specifically, a model built by
Generalized Stochastic Petri Nets (GSPN) is introduced to describe the process
of scheduling in cloud datacenter, and then the workflow of the algorithms is
showed. After that, the effectiveness of the algorithms is found to… More >
Open Access
ARTICLE
Yang Li1, Jianjiang Li1, Peng Shi2, Xiaoning Qin3
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 615-624, 2019, DOI:10.31209/2019.100000116
Abstract The applications to process large amounts of materials scientific data at
different scales, have been placed the field of materials science on the verge of
a revolution. This domain faces serious challenges, including diversity of format
of scientific data, and missing unified platform for sharing. A Virtual DataSpace
model and the evolution model is introduced to organize heterogeneous data
according to the user requirements and track the variations of data. The open
cloud model is embedded in a materials scientific data sharing platform in our
experiments to verify its effectiveness. The results show the model has made
efforts making more… More >
Open Access
ARTICLE
Zhang Min, Teng Haibin, Jiang Ming, Wen Tao, Tang Jingfan
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 625-635, 2019, DOI:10.31209/2019.100000117
Abstract Mapping from sentence phrases to knowledge graph resources is an important step for
applications such as search engines, automatic question answering systems based on
acknowledge base and knowledge graphs. The existing solution maps a simple phrase
to a knowledge graph resource strictly or approximately from the text. However, it is
difficult to detect phrases and map the composite semantic resource. This paper proposes a longest matching resource mapping scheme to solve this problem, namely, to
find the longest substring in a sentence that can match the knowledge base resource.
Based on this scheme, we propose an optimization algorithm based on… More >
Open Access
ARTICLE
Yue Li1, Guangquan Xu2,3, Hequn Xian1,*, Longlong Rao3, Jiangang Shi4,*
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 637-647, 2019, DOI:10.31209/2019.100000118
Abstract In order to prevent the spread of Android malware and protect privacy
information from being compromised, this study proposes a novel multidimensional hybrid features extraction and analysis method for Android malware
detection. This method is based primarily on a multidimensional hybrid features
vector by extracting the information of permission requests, API calls, and
runtime behaviors. The innovation of this study is to extract greater amounts of
static and dynamic features information and combine them, that renders the
features vector for training completer and more comprehensive. In addition, the
feature selection algorithm is used to further optimize the extracted information
to… More >
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