Open Access
ARTICLE
Qinqin Fan1,*, Yilian Zhang2, Zhihuan Wang1
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 1-12, 2020, DOI:10.31209/2018.100000042
Abstract Weak global exploration capability is one of the primary drawbacks in teaching
learning based optimization (TLBO). To enhance the search capability of TLBO,
an improved TLBO (ITLBO) is introduced in this study. In ITLBO, a uniform
random number is replaced by a normal random number, and a weighted average
position of the current population is chosen as the other teacher. The
performance of ITLBO is compared with that of five meta-heuristic algorithms on
a well-known test suite. Results demonstrate that the average performance of
ITLBO is superior to that of the compared algorithms. Finally, ITLBO is employed
to estimate parameters… More >
Open Access
ARTICLE
Muhammad Abdullah1,*, Saad Ahmad Khan1, Mamdouh Alenez2, Khaled Almustafa3, Waheed Iqbal1
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 13-25, 2020, DOI:10.31209/2018.100000047
Abstract An efficient placement of virtual machines (VMs) in a cloud datacenter is
important to maximize the utilization of infrastructure. Most of the existing work
maximises the number of VMs to place on a minimum number of physical
machines (PMs) to reduce energy consumption. Recently, big data applications
become popular which are mostly hosted on cloud datacenters. Big data
applications are deployed on multiple VMs and considered data and
communication intensive applications. These applications can consume most of
the datacenter bandwidth if VMs do not place close to each other. In this paper,
we investigate the use of different VM placement… More >
Open Access
ARTICLE
Dehua Shi1,4, Shaohua Wang1,2,*, Yingfeng Cai1, Long Chen1, ChaoChun Yuan1, ChunFang Yin3
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 27-39, 2020, DOI:10.31209/2018.100000062
Abstract Model predictive control (MPC), owing to the capability of dealing with nonlinear
and constrained problems, is quite promising for optimization. Different MPC
strategies are investigated to optimize HEV nonlinear energy management for
better fuel economy. Based on Bellman’s principle, dynamic programming is
firstly used in the limited horizon to obtain optimal solutions. By considering
MPC as a nonlinear programming problem, sequential quadratic programming
(SQP) is used to obtain the descent directions of control variables and the
current control input is further derived. To reduce computation and meet the
requirements of real-time control, the nonlinear model of the system is
approximated… More >
Open Access
ARTICLE
Julius Beneoluchi Odili1,*, A. Noraziah2, Mohd Helmy Abd Wahab3
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 41-51, 2020, DOI:10.31209/2018.100000059
Abstract This paper presents the African Buffalo Optimization algorithm for collision
avoidance among electric fishes. Collision-avoidance in electric fish finds
correlation with the Travelling Salesman avoiding the cities he has earlier
visited. Collision avoidance in electric is akin to collision-avoidance in modern
day driverless cars being promoted by Google Incorporation and other similar
companies. The concept of collision-avoidance is also very useful to persons
with visual impairment as it will help them avoid collision with objects, vehicles,
persons, especially other visually-impaired. After a number of experimental
procedures using the concept of the travelling salesman’s problem to simulate
collision-avoidance in electric fish,… More >
Open Access
ARTICLE
Ayesha Hoor Chaudhry*, Faisal Bukhari, Waheed Iqbal, Zubair Nawaz, Muhammad Kamran Malik
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 53-59, 2020, DOI:10.31209/2019.100000149
Abstract Laparoscopic surgery is a relatively new field in developing countries. There is a
scarcity of laparoscopically trained doctors due to a lack of training and
resources available in hospitals. Training and evaluation of medical
professionals to develop laparoscopic surgical skills are important and essential
as it improves the success rate and reduces the risk during real surgery. The
purpose of this research is to develop a series of training exercises based on
virtual reality using HTC Vive headset to emulate real-world training of doctors.
This virtual training not only gives the trainee doctors mastery in their
profession but also decreases… More >
Open Access
ARTICLE
Uma K.V1,*, Appavu alias Balamurugan S2
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 61-70, 2020, DOI:10.31209/2019.100000153
Abstract Real world data consists of lot of impurities. Entropy measure will help to
handle impurities in a better way. Here, data selection is done by using Naïve
Bayes’ theorem. The sample which has posterior probability value greater than
that of the threshold value is selected. C5.0 decision tree classifier is taken as
base and modified the Gain calculation function using Tsallis entropy and
Association function. The proposed classifier model provides more accuracy and
smaller tree for general and Medical dataset. Precision value obtained for
Medical dataset is more than that of existing method. More >
Open Access
ARTICLE
PCD Kalaivaani1,*, Dr. R Thangarajan2
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 71-79, 2020, DOI:10.31209/2019.100000152
Abstract Web mining is the process of integrating the information from web by
traditional data mining methodologies and techniques. Opinion mining is an
application of natural language processing to extract subjective information
from web. Online reviews require efficient classification algorithms for analysing
the sentiments, which does not perform an in–depth analysis in current
methods. Sentiment classification is done at document level in combination with
topics and sentiments. It is based on weakly supervised Joint Sentiment-Topic
mode which extends the topic model Maximum Entropy Discrimination Latent
Dirichlet Allocation by constructing an additional sentiment layer. It is assumed
that topics generated are dependent… More >
Open Access
EDITORIAL
Soo Kyun Kim*, Mario Köppen, Ali Kashif Bashir, Yuho Jin
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 83-85, 2020, DOI:10.31209/2019.100000129
Abstract This article has no abstract. More >
Open Access
ARTICLE
Babar Shazad1, Hikmat Ullah khan2, Zahoor-ur-Rehman1, Muhammad Farooq2, Ahsan Mahmood1, Irfan Mehmood3,*, Seungmin Rho3, Yunyoung Nam4,*
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 87-98, 2020, DOI:10.31209/2019.100000130
Abstract The social media has become an integral part of our daily life. The social web
users interact and thus influence each other influence in many aspects.
Blogging is one of the most important features of the social web. The bloggers
share their views, opinions and ideas in the form of blog posts. The influential
bloggers are the leading bloggers who influence the other bloggers in their
online communities. The relevant literature presents several studies related to
identification of top influential bloggers in last decade. The research domain of
finding the top influential bloggers mainly focuses on feature centric models.
This… More >
Open Access
ARTICLE
Soo-Kyun Kim1, Chang-Hee Lee2, Sun-Jeong Kim2, Chang-Geun Song2, Jung Lee2,*
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 99-105, 2020, DOI:10.31209/2019.100000131
Abstract Recently, the development of HMDs such as Oculus Rift, HTC Vive, and PSVR
has led to an increase in the interest of people in virtual reality (VR), and many
related studies have been published. This leads to an additional cost increase in
configuring the VR system. Also, space problems are caused. When the
treadmill is installed, additional space is required, which may adversely affect
the popularization of VR. In this paper, we propose a local area VR environment
that solves cost and space problems using human tracking using several Kinect
and solves the hygiene problems using smartphone-based mobile HMD. More >
Open Access
ARTICLE
Isma Farah Siddiqui1, Scott Uk-Jin Lee2,*, Asad Abbas3
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 107-119, 2020, DOI:10.31209/2019.100000132
Abstract The issue of battery drainage in the gigantic smart meters network such as
semantic-aware IoT-enabled smart meter has become a serious concern in the
smart grid framework. The grid core migrates existing tabular datasets i.e.,
Relational data to semantic-aware tuples in its Resource Description Framework
(RDF) format, for effective integration among multiple components to work
aligned with IoT. For this purpose, WWW Consortium (W3C) recommends two
specifications as mapping languages. However, both specifications use entire
RDB schema to generate data transformation mapping patterns and results
large quantity of unnecessary transformation. As a result, smart meters use
huge computing resources, maximum… More >
Open Access
ARTICLE
Vitaliy Mezhuyev1,*, Yurii Gunchenko2, Sergey Shvorov3, Dmitry Chyrchenko3
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 121-132, 2020, DOI:10.31209/2019.100000133
Abstract The widespread distribution of precision farming systems necessitates
improvements in the methods for the control of unmanned harvesting
equipment (UHE). While unmanned aerial vehicles (UAVs) provide an effective
solution to this problem, there are many challenges in the implementation of
technology. This paper considers the problem of identifying optimal routes of
UHE movement as a multicriteria evaluation problem, which can be solved by a
nonlinear scheme of compromises. The proposed method uses machine
learning algorithms and statistical processing of the spectral characteristics
obtained from UAV digital images. Developed method minimizes the resources
needed for a harvesting campaign and reduces the… More >
Open Access
ARTICLE
Byong Kwon Lee1, Yang Sun Lee2,*
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 133-139, 2020, DOI:10.31209/2019.100000134
Abstract Biometric user authentication using the face has been applied mainly to access
control systems. However, access is allowed even when a photo is presented
instead of an actual face. This can facilitate illegal access including attending as
a substitute or substitute authentication. An alternative approach has been
implemented to solve this problem. The approach determines between a real
face and a photo of a face using a UV sensor but this requires substantial cost
and installation process because additional hardware (the UV sensor) is
necessary. This paper proposes a three-step approach to identify between a
real image and a photo.… More >
Open Access
ARTICLE
Mucheol Kim*, Junho Kim, Mincheol Shin
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 141-147, 2020, DOI:10.31209/2019.100000135
Abstract With the trends of big data era, many people want to acquire the reliable and
refined information from web environments. However, it is difficult to find
appropriate information because the volume and complexity of web information
is increasing rapidly. So many researchers are focused on text mining and
personalized recommendation for extracting users’ interests. The proposed
approach extracted semantic relationship between scientific terminologies with
word embedding approach. We aggregated science data in BT for supporting
users’ wellness. In our experiments, query expansion is performed with
relationship between scientific terminologies with user’s intention. More >
Open Access
ARTICLE
Jeong-Sik Park1, Seok-Hoon Kim2,*
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 149-159, 2020, DOI:10.31209/2019.100000136
Abstract Variety types of smart home devices have a main function of a human-machine
interaction by speech recognition. Speech recognition system may be
vulnerable to rapidly changing noises in home environments. This study
proposes an efficient noise cancellation approach to eliminate the noises
directly on the devices in real time. Firstly, we propose an advanced voice
activity detection (VAD) technique to efficiently detect speech and non-speech
regions on the basis of spectral property of speech signals. The VAD is then
employed to enhance the conventional spectral subtraction method by steadily
estimating noise signals in non-speech regions. On several experiments, our
approach… More >
Open Access
ARTICLE
Farhan Ullah1,4,*, Abdullah Bajahzar2, Hamza Aldabbas3, Muhammad Farhan4, Hamad Naeem1, S. Sabahat H. Bukhari4,5, Kaleem Razzaq Malik6
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 169-180, 2020, DOI:10.31209/2019.100000138
Abstract This research aims to an electronic assessment (e-assessment) of students’
replies in response to the standard answer of teacher’s question to automate
the assessment by WordNet semantic similarity. For this purpose, a new
methodology for Semantic Similarity through WordNet Semantic Similarity
Techniques (SS-WSST) has been proposed to calculate semantic similarity
among teacher’ query and student’s reply. In the pilot study-1 42 words’ pairs
extracted from 8 students’ replies, which marked by semantic similarity
measures and compared with manually assigned teacher’s marks. The teacher
is provided with 4 bins of the mark while our designed methodology provided
an exact measure of… More >
Open Access
ARTICLE
Taemin Lee1, Dongwann Kang2, Kyunghyun Yoon1, Sanghyun Seo3,*
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 181-192, 2020, DOI:10.31209/2019.100000139
Abstract As mobile devices have tremendously developed, people can now get sensor data
easily. These data are not only physical data such as temperature, humidity,
gravity, acceleration, etc. but also human health data such as blood pressure,
heart pulse rate, etc. With this information, Internet of Things (IoT) technology
has provided many systems to support human health care. Systems for human
health care support physical health care like checking blood pressure, pulse rate,
etc. However, the demand for physical health care as well as mental health care
is increasing. So, a system, which automatically recommends a painting to users
based on… More >
Open Access
ARTICLE
Juryon Paik*
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 193-204, 2020, DOI:10.31209/2019.100000140
Abstract It seems to be sure that the IoT is one of promising potential topics today.
Sensors are the one that lead the current IoT revolution. The advances of
sensor-rich environments produce the massive volume of raw data that is
enlarging faster than the rate at which it is being handled. JSON is a lightweight
data-interchange format and preferred for IoT applications. Before JSON, XML
was de factor standard format for interchanging data. The common point is that
their structure scheme is the tree. Tree structure provides data exchangeability
and heterogeneity, which encourages user-flexibilities. Therefore, JSON sensor
format is an easy… More >
Open Access
ARTICLE
Shinjin Kang1, Taiwoo Park2,*
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 205-214, 2020, DOI:10.31209/2019.100000141
Abstract This paper describes an outlier detection system based on a multimodal
physiology data clustering algorithm in a PC gaming environment. The goal of
this system is to provide information on a game player’s abnormal behavior
with a bio-signal analysis. Using this information, the game platform can easily
identify players with abnormal behavior in specific events. To do this, we
propose a mouse device that measures the wearer's skin conductivity,
temperature, and motion. We also suggest a Dynamic Time Warping (DTW)
based clustering algorithm. The developed system examines the biometric
information of 50 players in a bullet dodge game. This paper… More >
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