IJACSA Vol. 11 Issue 1 (2020)

1

High Performance Computing in Resource Poor Settings: An Approach based on Volunteer Computing

Author 1: Adamou Hamza Author 2: Azanzi Jiomekong

High Performance Computing (HPC) systems aim to solve complex computing problems (in a short amount of time) that are either too large for standard computers or would take too long. They are used to solve computational problems in many fields such as medical science (for drug discovery, breast cancer detection… Read full abstract & cite →

Volunteer computing resource poor settings high performance computing matrix multiplication

Abstract doi.org/10.14569/IJACSA.2020.0110101 PDF

2

Search Space of Adversarial Perturbations against Image Filters

Author 1: Dang Duy Thang Author 2: Toshihiro Matsui

The superiority of deep learning performance is threatened by safety issues for itself. Recent findings have shown that deep learning systems are very weak to adversarial examples, an attack form that was altered by the attacker’s intent to deceive the deep learning system. There are many proposed defensive methods to… Read full abstract & cite →

Deep neural networks image filters adversarial examples image classification

Abstract doi.org/10.14569/IJACSA.2020.0110102 PDF

3

Towards Security Effectiveness Evaluation for Cloud Services Selection following a Risk-Driven Approach

Author 1: Sarah Maroc Author 2: Jian Biao Zhang

Cloud computing is gaining a lot of popularity with an increasing number of services available in the market. This has rendered services selection and evaluation a difficult and challenging task, particularly for security-based evaluation. A key problem with much of the literature on cloud services security evaluation is that it… Read full abstract & cite →

Cloud computing cloud services selection decision-making risk-driven assessment security evaluation

Abstract doi.org/10.14569/IJACSA.2020.0110103 PDF

4

Hybrid Machine Learning Algorithms for Predicting Academic Performance

Author 1: Phauk Sokkhey Author 2: Takeo Okazaki

The large volume of data and its complexity in educational institutions require the sakes from informative technologies. In order to facilitate this task, many researchers have focused on using machine learning to extract knowledge from the education database to support students and instructors in getting better performance. In prediction models… Read full abstract & cite →

Student performance machine learning algorithms k-fold cross-validation principal component analysis

Abstract doi.org/10.14569/IJACSA.2020.0110104 PDF

5

Proposal of a Sustainable Agile Model for Software Development

Author 1: Oscar Antonio Alvarez Galán Author 2: José Luis Cendejas Valdéz Author 3: Heberto Ferreira Medina Author 4: Gustavo A. Vanegas Contreras Author 5: Jesús Leonardo Soto Sumuano

Sustainability is even more important now than ever if we speak in the context of organizational growth, it is necessary that technological products, such as software developments, are certified as green- environmental friendly technology that would mean a competitive advantage for an organization that implements an agile methodology for software… Read full abstract & cite →

Sustainability agile methodologies software development MDSIC sustainability variables

Abstract doi.org/10.14569/IJACSA.2020.0110105 PDF

6

Pathological Worrying and Artificial Neural Networks

Author 1: Carlos Pelta

Worrying is a cognitive process that focuses on potential future negative events, where the outcome is often uncertain. Worries can arise in chains with one worry leading to another, often without solution. This may give rise to an uncontrollable worrying that may be associated with psychiatric disorders such as anxiety… Read full abstract & cite →

Pathological worrying artificial neural networks cascade-correlation algorithm

Abstract doi.org/10.14569/IJACSA.2020.0110106 PDF

7

Performance Comparison of CRUD Methods using NET Object Relational Mappers: A Case Study

Author 1: Doina Zmaranda Author 2: Lucian-Laurentiu Pop-Fele Author 3: Cornelia Gyorödi Author 4: Robert Gyorödi Author 5: George Pecherle

Most applications available nowadays are using an Object Relational Mapper (ORM) to access and save data. The additional layer that is being wrapped over the database induces a performance impact in detrimental of raw SQL queries; on the other side, the advantages of using ORMs by focusing on domain level… Read full abstract & cite →

ORM (Object Relational Mapper) domain-level development performance evaluation CRUD (Create Read Update Delete) operations

Abstract doi.org/10.14569/IJACSA.2020.0110107 PDF

8

Using the Convolution Neural Network Attempts to Match Japanese Women’s Kimono and Obi

Author 1: Kumiko Komizo Author 2: Noriaki Kuwahara

Currently, the decline in kimono usage in Japan is serious. This has become an important problem for the kimono industry and kimono culture. The reason behind this lack of usage is that Japanese clothing has many strict rules attached to it. One of those difficult rules is that kimonos have… Read full abstract & cite →

Digital fashion kimono obi convolution neural network

Abstract doi.org/10.14569/IJACSA.2020.0110108 PDF

9

RETRACTED: An Enhanced K-Nearest Neighbor Predictive Model through Metaheuristic Optimization

Author 1: Allemar Jhone P. Delima

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this… Read full abstract & cite →

CIGAL-KNN GA-KNN IBAX operator KNN algorithm prediction models

Abstract doi.org/10.14569/IJACSA.2020.0110109 PDF

10

Hybrid Algorithm Naive Bayesian Classifier and Random Key Cuckoo Search for Virtual Machine Consolidation Problem

Author 1: Yasser Moaly Author 2: Basheer A.Youssef

The trade-off between Energy consumption and SLA violation presents a serious challenge in cloud computing environments. A non-aggressive virtual machine consolidation algorithm is a good approach to reduce the consumed energy as well as SLA violation. A well-known strategy to deal with the virtual machine consolidation problem consists of four… Read full abstract & cite →

Cloud computing Naive Bayesian classifier Random Key Cuckoo Search Energy-efficiency SLA-aware Virtual Machine consolidation

Abstract doi.org/10.14569/IJACSA.2020.0110110 PDF

11

Adjacency Effects of Layered Clouds by Means of Monte Carlo Ray Tracing

Author 1: Kohei Arai

Adjacency effects from layered box shaped clouds are clarified by means of Monte Carlo Simulation: MCS taking into account a phase function of cloud particles and multi-layered plane parallel atmosphere. MCS allows estimation of top of the atmosphere radiance. Influences on adjacency effects of phase function of the clouds in… Read full abstract & cite →

Monte Carlo simulation top of the atmosphere radiance cloud type adjacency effects layered clouds

Abstract doi.org/10.14569/IJACSA.2020.0110111 PDF

12

An Intelligent and Adaptive Model for Change Management

Author 1: Ali M Alshahrani

The continuous and rapid changes that are taking place in the world today makes the change management crucial to any organization. The existing change management models bridge the gap between motivation, planning, and implementation. These models are highly significant as the organizational change is not a rare event anymore, but… Read full abstract & cite →

Change Management External Environment Internal Environment Decision Support System (DSS)

Abstract doi.org/10.14569/IJACSA.2020.0110112 PDF

13

A Systematic Review on Students’ Engagement in Classroom: Indicators, Challenges and Computational Techniques

Author 1: Latha Subramainan Author 2: Moamin A. Mahmoud

Students’ engagement in a classroom is a key factor that influences several educational outcomes. Studies by the University of California, Los Angeles (UCLA) and British universities found that 40% of students are frequently experiencing boredom and less than 20% of students ask questions in class due to poor engagement. A… Read full abstract & cite →

Classroom interaction student engagement engagement indicators engagement challenges computational techniques

Abstract doi.org/10.14569/IJACSA.2020.0110113 PDF

14

The Effectiveness of Stemming in the Stylometric Authorship Attribution in Arabic

Author 1: Abdulfattah Omar Author 2: Wafya Ibrahim Hamouda

The recent years have witnessed the development of numerous approaches to authorship attribution including statistical and linguistic methods. Stylometric authorship attribution, however, remains among the most widely used due to its accuracy and effectiveness. Nevertheless, many authorship problems remain unresolved in terms of Arabic. This can be attributed to different… Read full abstract & cite →

Authorship attribution cluster analysis GOLD stemmer Khoga stemmer Light 10 stemmer stemming stylometry

Abstract doi.org/10.14569/IJACSA.2020.0110114 PDF

15

Edge IoT Networking

Author 1: Majed Mohaia Alhaisoni

Data transmission has witnessed a new wave of emerging technologies such as IoT. This new way of communication could be done through smart communication such as smart sensors and actuators. Thus, data traffic keeps traversing to the main servers in order to accomplish the tasks at the sensors side. However… Read full abstract & cite →

Edge IoT network centrality communicability degree closeness

Abstract doi.org/10.14569/IJACSA.2020.0110115 PDF

16

Awareness of Ethical Issues when using an e-Learning System

Author 1: Talib Ahmad Almseidein Author 2: Omar Musa Klaif.Mahasneh

Transformation to the digital system has made life easier, and the acceptance of the e-learning system in the academic life of students is a fact. Therefore, many educational organizations use the e-learning environment for teaching-learning activities. The present study has been conducted to evaluate the awareness of the undergraduate students… Read full abstract & cite →

Code of ethics ethical issues e-learning

Abstract doi.org/10.14569/IJACSA.2020.0110116 PDF

17

A Blockchain based Mobile Money Interoperability Scheme

Author 1: Fickson Mvula Author 2: Jackson Phiri Author 3: Simon Tembo

Developing Countries in Africa in general and Zambia in particular, have seen a rapid rise in use of mobile payment platforms. This has not only revolutionized access to finance for the poor but also allowed them access to other financial products such as savings or insurance. With a growing number… Read full abstract & cite →

Blockchain mobile money interoperability clearing and settlement blockchain security

Abstract doi.org/10.14569/IJACSA.2020.0110117 PDF

18

Sign Language Semantic Translation System using Ontology and Deep Learning

Author 1: Eman K Elsayed Author 2: Doaa R. Fathy

Translation and understanding sign language may be difficult for some. Therefore, this paper proposes a solution to this problem by providing an Arabic sign language translation system using ontology and deep learning techniques. That is to interpret user’s signs to different meanings. This paper implemented ontology on the sign language… Read full abstract & cite →

Deep Learning (DL) ontology sign language translation

Abstract doi.org/10.14569/IJACSA.2020.0110118 PDF

19

Malicious URL Detection based on Machine Learning

Author 1: Cho Do Xuan Author 2: Hoa Dinh Nguyen Author 3: Tisenko Victor Nikolaevich

Currently, the risk of network information insecurity is increasing rapidly in number and level of danger. The methods mostly used by hackers today is to attack end-to-end technology and exploit human vulnerabilities. These techniques include social engineering, phishing, pharming, etc. One of the steps in conducting these attacks is to… Read full abstract & cite →

URL malicious URL detection feature extraction feature selection machine learning

Abstract doi.org/10.14569/IJACSA.2020.0110119 PDF

20

Noise Reduction in Spatial Data using Machine Learning Methods for Road Condition Data

Author 1: Dara Anitha Kumari Author 2: A. Govardhan

With the increase in the road transportation system the safety concerns for the road travels are also increasing. In order to ensure the road safety, various government and non-government efforts are visible to maintain the road quality and transport network system. The maintenance of the road condition is in the… Read full abstract & cite →

Spatial image moments adaptive logistic de-noising machine learning noise removal correlative corrections

Abstract doi.org/10.14569/IJACSA.2020.0110120 PDF

21

Blockchain-based Electronic Voting System with Special Ballot and Block Structures that Complies with Indonesian Principle of Voting

Author 1: Gottfried Christophorus Prasetyadi Author 2: Achmad Benny Mutiara Author 3: Rina Refianti

Blockchain technology could be implemented not only in digital currency, but also in other fields. One such implementation is in democratic life, namely voting. This research focuses on designing a blockchain-based electronic voting system for medium to large-scale usage that complies with law, specifically voting principles in Indonesia. In this… Read full abstract & cite →

Blockchain voting design simulation Python

Abstract doi.org/10.14569/IJACSA.2020.0110121 PDF

22

Mobile Cloud Learning based on User Acceptance using DeLone and McLean Model for Higher Education

Author 1: Kristiawan Nugroho Author 2: Sugeng Murdowo Author 3: Farid Ahmadi Author 4: Tri Suminar

Mobile learning has been used in the learning process in several tertiary institutions in Indonesia. However, several universities have not been able to implement mobile learning due to the limitations of computer and network infrastructure. Cloud computing is a solution for agencies that experience limitations in computer infrastructure in the… Read full abstract & cite →

Mobile learning cloud computing DeLone McLean model

Abstract doi.org/10.14569/IJACSA.2020.0110122 PDF

23

Open Challenges for Crowd Density Estimation

Author 1: Shaya A Alshaya

Nowadays, many emergency systems and surveillance systems are related to the management of the crowd. The supervision of a crowded area presents a great challenge especially when the size of the crowd is unknown. This issue presents a point of start to the field of the estimation of the crowd… Read full abstract & cite →

Crowd density count density deep learning CNN datasets metrics

Abstract doi.org/10.14569/IJACSA.2020.0110123 PDF

24

Model for Measuring benefit of Government IT Investment using Fuzzy AHP

Author 1: Prih Haryanta Author 2: Azhari Azhari Author 3: Khabib Mustofa

Information Technology (IT) has become a mandatory for every organization including government. Investment on IT can help government to deliver services to the citizen. Every IT investment should give the maximum result. Measurement for the benefit of IT investment is needed to make sure that it has deliver the missions… Read full abstract & cite →

IT investment government investment ex-post evaluation benefit creation fuzzy AHP analytic hierarchy process

Abstract doi.org/10.14569/IJACSA.2020.0110124 PDF

25

Link Breakage Time Prediction Algorithm for Efficient Power and Routing in Unmanned Aerial Vehicle Communication Networks

Author 1: Haque Nawaz Author 2: Husnain Mansoor Ali

UAV Communication Networks (UAVCN) comes under the umbrella of Ad hoc Network technology. It has the critical differences with existing wireless networks, which are high mobility, high speed, dynamic updates, and changes in topology due to high movement, which creates the problem of link breakages and affects the routing performance… Read full abstract & cite →

UAV link breakage algorithm power RSPS routing

Abstract doi.org/10.14569/IJACSA.2020.0110125 PDF

26

IoT System for Sleep Quality Monitoring using Ballistocardiography Sensor

Author 1: Nico Surantha Author 2: C’zuko Adiwiputra Author 3: Oei Kurniawan Utomo Author 4: Sani Muhamad Isa Author 5: Benfano Soewito

Sleep is very important for people to preserve their physical and mental health. The development of the ballistocardiography (BCG) sensor enables the possibility of day-to-day and portable monitoring at home. The goal of this study is to develop an IoT sleep quality monitoring system using BCG sensors, microcontrollers and cloud… Read full abstract & cite →

Internet-of-Things sleep quality ballisto-cardiography HRV ECG

Abstract doi.org/10.14569/IJACSA.2020.0110126 PDF

27

A Critical Review on Adverse Effects of Concept Drift over Machine Learning Classification Models

Author 1: Syed Muslim Jameel Author 2: Manzoor Ahmed Hashmani Author 3: Hitham Alhussain Author 4: Mobashar Rehman Author 5: Arif Budiman

Big Data (BD) is participating in the current computing revolution in a big way. Industries and organizations are utilizing their insights for Business Intelligence using Machine Learning Models (ML-Models). Deep Learning Models (DL-Models) have been proven to be a better selection than Shallow Learning Models (SL-Models). However, the dynamic characteristics… Read full abstract & cite →

Big data classification machine learning online supervised learning concept drift Adaptive Convolutional Neural Network Extreme Learning Machine (ACNNELM) Meta-Cognitive Online Sequential Extreme Learning Machine (MOSELM) Online Sequential Extreme Learning Machine (OSELM) Real Drift (RD) Virtual Drift (VD) Hybrid Drift (HD) Deep Learning (DL) Shallow Learning (SL) Concept Drift (CD)

Abstract doi.org/10.14569/IJACSA.2020.0110127 PDF

28

Scalability Performance for Low Power Wide Area Network Technology using Multiple Gateways

Author 1: N.A. Abdul Latiff Author 2: I.S. Ismail Author 3: M. H. Yusoff

Low Power Wide Area Network is one of the leading technologies for the Internet of Things. The capability to scale is one of the advantage criteria for a technology to compare to each other. The technology uses a star network topology for communication between the end-node and gateway. The star… Read full abstract & cite →

Low power wide area network scalability simulation multiple gateways

Abstract doi.org/10.14569/IJACSA.2020.0110128 PDF

29

Tuberculosis Prevention Model in Developing Countries based on Geospatial, Cloud and Web Technologies

Author 1: Innocent Mwila Author 2: Jackson Phiri

Information is important when making decisions. Decisions which are based on gut feeling and made in the absence of evidence always tend to be less effective in most situations. This is also the case when it comes to Tuberculosis (TB) disease control and prevention intervention planning and implementation. The lack… Read full abstract & cite →

Evidence-based monitoring cloud computing geospatial data analysis mapping web technologies information decision-making tuberculosis prevention

Abstract doi.org/10.14569/IJACSA.2020.0110129 PDF

30

Novel Language Resources for Hindi: An Aesthetics Text Corpus and a Comprehensive Stop Lemma List

Author 1: Gayatri Venugopal-Wairagade Author 2: Jatinderkumar R. Saini Author 3: Dhanya Pramod

This paper is an effort to complement the contributions made by researchers working toward the inclusion of non-English languages in natural language processing studies. Two novel Hindi language resources have been created and released for public consumption. The first resource is a corpus consisting of nearly thousand pre-processed fictional and… Read full abstract & cite →

Hindi corpus aesthetics stopwords stoplemmas

Abstract doi.org/10.14569/IJACSA.2020.0110130 PDF

31

An IoT based Home Automation Integrated Approach: Impact on Society in Sustainable Development Perspective

Author 1: Yasir Mahmood Author 2: Nazri Kama Author 3: Azri Azmi Author 4: Suraya Ya’acob

In recent years, due to substantial evolution in the field of consumer electronics, the society is striving to optimize efficiency, energy savings, green technology and environmental sustainability in their daily lives at homes. Most of the people are controlling and monitoring home appliances manually and therefore, facing lots of problems… Read full abstract & cite →

Internet of Things smart home sustainable development home automation environment sustainability

Abstract doi.org/10.14569/IJACSA.2020.0110131 PDF

32

Crime Mapping Model based on Cloud and Spatial Data: A Case Study of Zambia Police Service

Author 1: Jonathan Phiri Author 2: Jackson Phiri Author 3: Charles S. Lubobya

Crime mapping is a strategy used to detect and prevent crime in the police service. The technique involves the use of geographical maps to help crime analysts identify and profile crimes committed in different residential areas, as well as determining best methods of responding. The development of geographic information system… Read full abstract & cite →

Zambia police web application mobile application cloud model crime mapping spatial data

Abstract doi.org/10.14569/IJACSA.2020.0110132 PDF

33

Classification Models for Determining Types of Academic Risk and Predicting Dropout in University Students

Author 1: Norka Bedregal-Alpaca Author 2: Víctor Cornejo-Aparicio Author 3: Joshua Zárate-Valderrama Author 4: Pedro Yanque-Churo

Academic performance is a topic studied not only to identify those students who could drop out of their studies, but also to classify them according to the type of academic risk they could find themselves. An application has been implemented that uses academic information provided by the university and generates… Read full abstract & cite →

Educational data mining ID3 algorithm C4.5 algorithm artificial neural network classification algorithms student desertion academic risk

Abstract doi.org/10.14569/IJACSA.2020.0110133 PDF

34

Predicting the Future Transaction from Large and Imbalanced Banking Dataset

Author 1: Sadaf Ilyas Author 2: Sultan Zia Author 3: Umair Muneer Butt Author 4: Sukumar Letchmunan Author 5: Zaib un Nisa

Machine learning (ML) algorithms are being adopted rapidly for a range of applications in the finance industry. In this paper, we used a structured dataset of Santander bank, which is published on a data science and machine learning competition site (kaggle.com) to predict whether a customer would make a transaction… Read full abstract & cite →

Machine Learning (ML) banking Santander transactions prediction imbalanced unbalanced skewed hyperparameter oversampling undersampling EDA dimensionality reduction PCA LDA LR RF DT MLP GBM CatBoost XGBoost AdaBoost LigtGBM

Abstract doi.org/10.14569/IJACSA.2020.0110134 PDF

35

SBAG: A Hybrid Deep Learning Model for Large Scale Traffic Speed Prediction

Author 1: Adnan Riaz Author 2: Muhammad Nabeel Author 3: Mehak Khan Author 4: Huma Jamil

Intelligent Transportation System (ITS) is the fundamental requirement to an intelligent transport system. The proposed hybrid model Stacked Bidirectional LSTM and Attention-based GRU (SBAG) is used for predicting the large scale traffic speed. To capture bidirectional temporal dependencies and spatial features, BDLSTM and attention-based GRU are exploited. It is the… Read full abstract & cite →

Attention mechanism large scale traffic prediction Gated Recurrent Unit (GRU) Bidirectional Long-short term Memory (BiLSTM) Intelligent Transportation System (ITS)

Abstract doi.org/10.14569/IJACSA.2020.0110135 PDF

36

Categorizing Attributes in Identifying Learning Style using Rough Set Theory

Author 1: Dadang Syarif Sihabudin Sahid Author 2: Riswan Efendi Author 3: Emansa Hasri Putra Author 4: Muhammad Wahyudi

In a learning process, learning style becomes one crucial factor that should be considered. However, it is still challenging to determine the learning style of the student, especially in an online learning activity. Data-driven methods such as artificial intelligence and machine learning are the latest and popular approaches for predicting… Read full abstract & cite →

Learning style rough set categorizing attributes conditional attributes decision attributes

Abstract doi.org/10.14569/IJACSA.2020.0110136 PDF

37

Facial Emotion Recognition using Neighborhood Features

Author 1: Abdulaziz Salamah Aljaloud Author 2: Habib Ullah Author 3: Adwan Alownie Alanazi

We present a new method for human facial emotions recognition. For this purpose, initially, we detect faces in the images by using the famous cascade classifiers. Subsequently, we then extract a localized regional descriptor (LRD) which represents the features of a face based on regional appearance encoding. The LRD formulates… Read full abstract & cite →

Haar features feature integration emotion recognition face detection localized features multiclass SVM classifier

Abstract doi.org/10.14569/IJACSA.2020.0110137 PDF

38

A New Solution to Protect Encryption Keys when Encrypting Database at the Application Level

Author 1: Karim El bouchti Author 2: Soumia Ziti Author 3: Fouzia Omary Author 4: Nassim Kharmoum

Encrypting databases at the application level (client level) is one of the most effective ways to secure data. This strategy of data security has the advantage of resisting attacks performed by the database administrators. Although the data and encryption keys will be necessarily stored in the clear on the client… Read full abstract & cite →

Database encryption encryption key protection model database encryption keys protection data security

Abstract doi.org/10.14569/IJACSA.2020.0110138 PDF

39

Neural Network Supported Chemiresistor Array System for Detection of NO2 Gas Pollution in Smart Cities (NN-CAS)

Author 1: Mahmoud Zaki Iskandarani

Neural Networks supported Chemiresistor array system is designed and laboratory tested for the detection of emissive gasses from vehicles and other sources of pollution. The designed and tested system is based on an integrated PbPc array of chemiresistors that sends signals corresponding to emitted NO2 gas to Signal Processing Unit… Read full abstract & cite →

Gases chemiresistors neural networks sensor array correlation road side unit intelligent transportation systems smart cities

Abstract doi.org/10.14569/IJACSA.2020.0110139 PDF

40

A Framework for Detecting Botnet Command and Control Communication over an Encrypted Channel

Author 1: Zahian Ismail Author 2: Aman Jantan Author 3: Mohd. Najwadi Yusoff

Botnet employs advanced evasion techniques to avoid detection. One of the Botnet evasion techniques is by hiding their command and control communication over an encrypted channel like SSL and TLS. This paper provides a Botnet Analysis and Detection System (BADS) framework for detecting Botnet. The BADS framework has been used… Read full abstract & cite →

Botnet Botnet Analysis and Detection System (BADS) encrypted channel machine learning accuracy autonomous

Abstract doi.org/10.14569/IJACSA.2020.0110140 PDF

41

The Multi-Class Classification for the First Six Surats of the Holy Quran

Author 1: Nouh Sabri Elmitwally Author 2: Ahmed Alsayat

The Holy Quran is one of the holy books revealed to the prophet Muhammad in the form of separate verses. These verses were written on tree leaves, stones, and bones during his life; as such, they were not arranged or grouped into one book until later. There is no intelligent… Read full abstract & cite →

Text classification machine learning natural language processing text pre-processing feature selection data mining Holy Quran

Abstract doi.org/10.14569/IJACSA.2020.0110141 PDF

42

Cancelable Face Template Protection using Transform Features for Cyberworld Security

Author 1: Firdous Kausar

Cyber world becomes a fundamental and vital component of the physical world with the increase of dependence on internet-connected devices in industry and government organizations. Provision of privacy and security of users during online communication offers unique cybersecurity challenges for industry and government. Intrusion is one of the crucial issues… Read full abstract & cite →

Cancelable biometrics face authentication feature extraction Gabor filter Principal Component Analysis (PCA) wavelet transformation

Abstract doi.org/10.14569/IJACSA.2020.0110142 PDF

43

Development of Flipbook using Web Learning to Improve Logical Thinking Ability in Logic Gate

Author 1: Rizki Noor Prasetyono Author 2: Rito Cipta Sigitta Hariyono

The multimedia-based learning process has great potential to change the way of learning. One of them is a growing multimedia Flipbook from textbooks, with ease of reading and learning without carrying a thick book. The purpose of this study is to produce a Flipbook-assisted Web Learning development product and to… Read full abstract & cite →

Multimedia based learning flipbook web learning logical thinking logic gates

Abstract doi.org/10.14569/IJACSA.2020.0110143 PDF

44

Automatic Detection and Correction of Blink Artifacts in Single Channel EEG Signals

Author 1: G Bhaskar N Rao Author 2: Anumala Vijay Sankar Author 3: Peri Pinak Pani Author 4: Aneesh Sidhireddy

Ocular Artifacts (OAs) are inevitable during EEG acquisition and make the signal analysis critical. Detection and correction of these artifacts is a major problem now a day’s. In this paper an energy detection method is used to detect the artifacts and performed wavelet thresholding within the researched zones to protect… Read full abstract & cite →

Electroencephalogram (EEG) ocular artifacts wavelet transform hybrid threshold

Abstract doi.org/10.14569/IJACSA.2020.0110144 PDF

45

Usability of Mobile Assisted Language Learning App

Author 1: Kashif Ishaq Author 2: Nor Azan Mat Zin Author 3: Fadhilah Rosdi Author 4: Adnan Abid Author 5: Qasim Ali

The aim of this study is to evaluate the usability of Mobile Assisted Language Learning i.e. Literacy and Numeracy Drive (LND) which is smartphone application to learn language and mathematics in public sector primary schools of Punjab, the biggest province of Pakistan. In this study, usability tests were conducted which… Read full abstract & cite →

Literacy and numeracy drive usability user experience mobile app assessment public school

Abstract doi.org/10.14569/IJACSA.2020.0110145 PDF

46

Classification of Non-Discriminant ERD/ERS Comprising Motor Imagery Electroencephalography Signals

Author 1: Zaib unnisa Asi Author 2: M. Sultan Zia Author 3: Umair Muneer Butt Author 4: Aneela Abbas Author 5: Sadaf Ilyas

Classification of Motor Imagery (MI) Electroencephalography (EEG) signals has always been an important aspect of Brain Computer Interface (BCI) systems. Event Related Desynchronization (ERD)/ Event Related Synchronization (ERS) plays a significant role in finding discriminant features of MI EEG signals. ERD/ERS is one type and Evoked Potential (EP) is another… Read full abstract & cite →

MI EEG Signals non-discriminant ERD/ERS evoked potentials common spatial pattern Gaussian process classifier

Abstract doi.org/10.14569/IJACSA.2020.0110146 PDF

47

Barchan Sand Dunes Collisions Detection in High Resolution Satellite Images based on Image Clustering and Transfer Learning

Author 1: M. A. Azzaoui Author 2: L. Masmoudi Author 3: H. El Belrhiti Author 4: I. E. Chaouki

Desertification is a core concern for populations living in arid and semi-arid areas. Specifically, barchans dunes which are the fastest moving sand dunes put constant pressure over human settlements and infrastructure. Remote sensing was used to analyze sand dunes around Tarfaya city located in the south of Morocco in the… Read full abstract & cite →

High resolution satellite images remote sensing transfer learning image segmentation sand dunes desertification

Abstract doi.org/10.14569/IJACSA.2020.0110147 PDF

48

Usefulness of Mobile Assisted Language Learning in Primary Education

Author 1: Kashif Ishaq Author 2: Nor Azan Mat Zin Author 3: Fadhilah Rosdi Author 4: Adnan Abid Author 5: Qasim Ali

Literacy & Numeracy Drive (LND) is a mobile application that is used in public sector primary schools in Punjab province, Pakistan to teach students of Grade 03 on a tablet for learning languages and Mathematics. Persons designated the role of a Monitoring & Evaluation Assistant (MEA) visit every school allocated… Read full abstract & cite →

Literacy and numeracy drive monitoring and evaluation assistant assessment usability content design infrastructure

Abstract doi.org/10.14569/IJACSA.2020.0110148 PDF

49

Detecting Flooding Attacks in Communication Protocol of Industrial Control Systems

Author 1: Rajesh L Author 2: Penke Satyanarayana

Industrial Control Systems (ICS) are normally using for monitoring and controlling various process plants like Oil & Gas refineries, Nuclear reactors, Power generation and transmission, various chemical plants etc., in the world. MODBUS is the most widely used communication protocol in these ICS systems, which is using for bi-directional data… Read full abstract & cite →

Supervisory Control and Data Acquisition (SCADA) Remote Telemetry Unit (RTU) Programmable Logic Controllers (PLC) Communication Protocol MODBUS Industrial Control Systems (ICS)

Abstract doi.org/10.14569/IJACSA.2020.0110149 PDF

50

An Artificial Deep Neural Network for the Binary Classification of Network Traffic

Author 1: Shubair A. Abdullah Author 2: Ahmed Al-Ashoor

Classifying network packets is crucial in intrusion detection. As intrusion detection systems are the primary defense of the infrastructure of networks, they need to adapt to the exponential increase in threats. Despite the fact that many machine learning techniques have been devised by researchers, this research area is still far… Read full abstract & cite →

Deep learning ANN packet classification binary classification malicious traffic classification

Abstract doi.org/10.14569/IJACSA.2020.0110150 PDF

51

An Improved Framework for Content-based Spamdexing Detection

Author 1: Asim Shahzad Author 2: Hairulnizam Mahdin Author 3: Nazri Mohd Nawi

To the modern Search Engines (SEs), one of the biggest threats to be considered is spamdexing. Nowadays spammers are using a wide range of techniques for content generation, they are using content spam to fill the Search Engine Result Pages (SERPs) with low-quality web pages. Generally, spam web pages are… Read full abstract & cite →

Information retrieval Web spam detection content spam pos ratio search spam Keywords stuffing machine generated content detection

Abstract doi.org/10.14569/IJACSA.2020.0110151 PDF

52

Combining 3D Interpolation, Regression, and Body Features to build 3D Human Data for Garment: An Application to Building 3D Vietnamese Female Data Model

Author 1: Tran Thi Minh Kieu Author 2: Nguyen Tung Mau Author 3: Le Van Author 4: Pham The Bao

Modeling 3D human body is an advanced technique used in human motion analysis and garment industry. In this paper, we propose a method for forming deformation functions so that we can rebuild the 3D human body given anthropometric measurements. The advanced idea in our approach is that we split the… Read full abstract & cite →

Anthropometry 3D scanning human body modeling interpolation parametric modeling

Abstract doi.org/10.14569/IJACSA.2020.0110152 PDF

53

Breast Cancer Computer-Aided Detection System based on Simple Statistical Features and SVM Classification

Author 1: Yahia Osman Author 2: Umar Alqasemi

Computer-Aided Detection (CADe) systems are becoming very helpful and useful in supporting physicians for early detection of breast cancer. In this paper, a CADe system that is able to detect abnormal clusters in mammographic images will be implemented using different classifiers and features. The CADe system will utilize a Support… Read full abstract & cite →

Breast cancer MIAS features extraction SVM mammogram clusters computer-aided detection systems KNN ROI

Abstract doi.org/10.14569/IJACSA.2020.0110153 PDF

54

EEG Emotion Signal of Artificial Neural Network by using Capsule Network

Author 1: Usman Ali Author 2: Haifang Li Author 3: Rong Yao Author 4: Qianshan Wang Author 5: Waqar Hussain Author 6: Syed Badar ud Duja Author 7: Muhammad Amjad Author 8: Bilal Ahmed

Human emotion recognition through electroencephalographic (EEG) signals is becoming attractive. Several evolutions used for our research mechanism technology to describe two different primaries: one used for combining the vital attribute, frequency sphere, and physical element of the EEG signals, and the architecture describes the two-dimensional image. Emotion realization is imposing… Read full abstract & cite →

Emotion recognition caps net EEG signal multidimensional feature hybrid neural networks CNN Granger motor imagery classification deep learning

Abstract doi.org/10.14569/IJACSA.2020.0110154 PDF

55

Behavior of Learning Rules in Hopfield Neural Network for Odia Script

Author 1: Ramesh Chandra Sahoo Author 2: Sateesh Kumar Pradhan

Automatic character recognition is one of the challenging fields in pattern recognition especially for handwritten Odia characters as many of these characters are similar and rounded in shape. In this paper, a comparative performance analysis of Hopfield neural network for storing and recalling of handwritten and printed Odia characters with… Read full abstract & cite →

Hopfield network Odia script Hebbian pseudo-inverse Storkey NIT dataset

Abstract doi.org/10.14569/IJACSA.2020.0110155 PDF

56

Critical Analysis of Brain Magnetic Resonance Images Tumor Detection and Classification Techniques

Author 1: Zahid Ullah Author 2: Su-Hyun Lee Author 3: Donghyeok An

The image segmentation, tumor detection and extraction of tumor area from brain MR images are the main concern but time-consuming and tedious task performed by clinical experts or radiologist, while the accuracy relies on their experiences only. So, to overcome these limitations, the usage of computer-aided design (CAD) technology has… Read full abstract & cite →

Magnetic Resonance Imaging (MRI) Computed Tomography (CT) MRI Classification Tumor Detection Digital Image Processing

Abstract doi.org/10.14569/IJACSA.2020.0110156 PDF

57

Secure V2V Communication in IOV using IBE and PKI based Hybrid Approach

Author 1: Satya Sandeep Kanumalli Author 2: Anuradha Ch Author 3: Patanala Sri Rama Chandra Murty

We live in the world of “Internet of Everything”, which lead to advent of different applications and Internet of vehicles (IOV) of one among them, which is a major step forward for the future of transportation system. Vehicle to vehicle (V2V) communication plays a major role in which a vehicle… Read full abstract & cite →

Privacy internet of vehicles hashing ibe public key certificate

Abstract doi.org/10.14569/IJACSA.2020.0110157 PDF

58

A Multi-Objectives Optimization to Develop the Mobile Dimension in a Small Private Online Course (SPOC)

Author 1: Naima BELARBI Author 2: Abdelwahed NAMIR Author 3: Mohamed TALBI Author 4: Nadia Chafiq

The impact of the mobile technology trend is being felt in several sectors today, including education. In this paper, we present an analysis of the development of the mobile dimension in a Massive Open Online Course (MOOC) or a Small Private Online Course (SPOC) as a decision-making problem among various… Read full abstract & cite →

Mobile dimension MOOC/SPOC multi-objective optimization criteria decision

Abstract doi.org/10.14569/IJACSA.2020.0110158 PDF

59

A Fuzzy Multi-Objective Covering-based Security Quantification Model for Mitigating Risk of Web based Medical Image Processing System

Author 1: Abdullah Algarni Author 2: Masood Ahmad Author 3: Abdulaziz Attaallah Author 4: Alka Agrawal Author 5: Rajeev Kumar Author 6: Raees Ahmad Khan

Medical image processing is one of the most active research areas and has big impact on the health sector. With the arrival of intelligent processes, web based medical image processing has become simple and errorless. Web based application is now used extensively for medical image processing. Large amount of medical… Read full abstract & cite →

Web based medical image processing fuzzy analytical hierarchy process TOPSIS method security management

Abstract doi.org/10.14569/IJACSA.2020.0110159 PDF

60

Knowledge Sharing Factors for Modern Code Review to Minimize Software Engineering Waste

Author 1: Nargis Fatima Author 2: Sumaira Nazir Author 3: Suriayati Chuprat

Software engineering activities, for instance, Modern Code Review (MCR) produce quality software by identifying the defects from the code. It involves social coding and provides ample opportunities to share knowledge among MCR team members. However, the MCR team is confronted with the issue of waiting waste due to poor knowledge… Read full abstract & cite →

knowledge sharing modern code review software engineering waiting waste

Abstract doi.org/10.14569/IJACSA.2020.0110160 PDF

61

Situational Factors for Modern Code Review to Support Software Engineers’ Sustainability

Author 1: Sumaira Nazir Author 2: Nargis Fatima Author 3: Suriayati Chuprat

Software engineers working in Modern Code Review (MCR) are confronted with the issue of lack of competency in the identification of situational factors. MCR is a software engineering activity for the identification and fixation of defects before the delivery of the software product. This issue can be a threat to… Read full abstract & cite →

Situational modern code review sustainable software engineer

Abstract doi.org/10.14569/IJACSA.2020.0110161 PDF

62

Plant Disease Detection using Internet of Thing (IoT)

Author 1: Muhammad Amir Nawaz Author 2: Tehmina khan Author 3: Rana Mudassar Rasool Author 4: Maryam Kausar Author 5: Amir Usman Author 6: Tanvir Fatima Naik Bukht Author 7: Rizwan Ahmad Author 8: Jaleel Ahmad

This paper presents the idea of internet of things (IOT) innovation to percept data, and talks about the job of the IOT innovation in farming infection and bug nuisance control, which incorporates rural ailment and bug checking framework, gathering sickness and creepy crawly bother data utilizing sensor hubs, information preparing… Read full abstract & cite →

Plant diseases internet of things temperature sensor plants farming

Abstract doi.org/10.14569/IJACSA.2020.0110162 PDF

63

Performance Analysis of Machine Learning Classifiers for Detecting PE Malware

Author 1: ABM.Adnan Azmee Author 2: Pranto Protim Choudhury Author 3: Md. Aosaful Alam Author 4: Orko Dutta Author 5: Muhammad Iqbal Hossai

In this modern era of technology, securing and protecting one’s data has been a major concern and needs to be focused on. Malware is a program that is designed to cause harm and malware analysis is one of the paramount focused points under the sight of cyber forensic professionals and… Read full abstract & cite →

Malware detection machine learning data protection XGBoost support vector machine extra tree classifiers artificial neural network

Abstract doi.org/10.14569/IJACSA.2020.0110163 PDF

64

Determinants of Interface Criteria Learning Technology for Disabled Learner using Analytical Hierarchy Process

Author 1: Syazwani Ramli Author 2: Hazura Mohamed Author 3: Zurina Muda

The advancement of technology nowadays is rapidly increasing due to the leveraging availability of learning technology. Due to the rapid change in the availability of technology, it is crucial for disabled learners to select a good technology design that may help them to achieve better academic achievements. Selecting a good… Read full abstract & cite →

Selection design learning technology disabled learner decision making Analytical Hierarchy Process (AHP)

Abstract doi.org/10.14569/IJACSA.2020.0110164 PDF

65

Predicting IoT Service Adoption towards Smart Mobility in Malaysia: SEM-Neural Hybrid Pilot Study

Author 1: Waqas Ahmed Author 2: Sheikh Muhamad Hizam Author 3: Ilham Sentosa Author 4: Habiba Akter Author 5: Eiad Yafi Author 6: Jawad Ali

Smart city is synchronized with digital environment and its transportation system is vitalized with RFID sensors, Internet of Things (IoT) and Artificial Intelligence. However, without user’s behavioral assessment of technology, the ultimate usefulness of smart mobility cannot be achieved. This paper aims to formulate the research framework for prediction of… Read full abstract & cite →

Smart Mobility Internet of Things (IoT) Radio-Frequency Identification (RFID) Neural Networks Technology Acceptance Model (TAM)

Abstract doi.org/10.14569/IJACSA.2020.0110165 PDF

66

Robotic Technology for Figural Creativity Enhancement: Case Study on Elementary School

Author 1: Billy Hendrik Author 2: Nazlena Mohamad Ali Author 3: Norshita Mat Nayan

Robotic technology is a field that is in great demand today and it is very useful to human life, especially in the aspect of education. It would help students to be more active in the learning process. Creativity can be stimulating with the use of robotic technology. One kind of… Read full abstract & cite →

Robotic technology figural creativity curriculum TKF education KTSP K-13

Abstract doi.org/10.14569/IJACSA.2020.0110166 PDF

67

The Impact of Deep Learning Techniques on SMS Spam Filtering

Author 1: Wael Hassan Gomaa

Over the past decade, phone calls and bulk SMS have been fashionable. Although many advertisers assume that SMS has died, it is still alive. It is one of the simplest and most cost-effective marketing tools for companies to communicate on a personal level to their customers. The spread of SMS… Read full abstract & cite →

SMS Spam Filtering Deep Learning RNN GRU LSTM CNN RCNN RMDL

Abstract doi.org/10.14569/IJACSA.2020.0110167 PDF

68

Translator System for Peruvian Sign Language Texts through 3D Virtual Assistant

Author 1: Gleny Paola Gamarra Ramos Author 2: María Elisabeth Farfán Choquehuanca

The population with hearing impairment in Peru is a community that doesn’t receive the necessary support from the government, nor does it have the necessary resources for the inclusion of its members as active persons in this society. Few initiatives have been launched to achieve this goal and for this… Read full abstract & cite →

Peruvian sign language Lexical-Syntactic Analysis Avatar 3D

Abstract doi.org/10.14569/IJACSA.2020.0110168 PDF

69

A Service-Oriented Architecture for Optimal Service Selection and Positioning in Extremely Large Crowds

Author 1: Mohammad A.R. Abdeen

The problem of managing large crowds has many aspects and has been reported in the literature. One of these aspects is the distribution of supplies such as food and water in especially when the targeted region is overcrowded. Some of the challenges is to plan the locations of food and… Read full abstract & cite →

Large crowd management Service-Oriented Architecture multi-objective optimization Hajj Mena WSDL

Abstract doi.org/10.14569/IJACSA.2020.0110169 PDF

70

EDUGXQ: User Experience Instrument for Educational Games’ Evaluation

Author 1: Vanisri Nagalingam Author 2: Roslina Ibrahim Author 3: Rasimah Che Mohd Yusoff

A significant increase in research on educational computer games in recent years has proven that the demand for educational games has increased as well. However, production of incompatible educational games not only cost wastage of money but also energy and time for game designers and game developers. To produce a… Read full abstract & cite →

User Experience (UX) framework psychometrically educational games educational games’ evaluation

Abstract doi.org/10.14569/IJACSA.2020.0110170 PDF

71

Stemming Text-based Web Page Classification using Machine Learning Algorithms: A Comparison

Author 1: Ansari Razali Author 2: Salwani Mohd Daud Author 3: Nor Azan Mat Zin Author 4: Faezehsadat Shahidi

The research aim is to determine the effect of word-stemming in web pages classification using different machine learning classifiers, namely Naïve Bayes (NB), k-Nearest Neighbour (k-NN), Support Vector Machine (SVM) and Multilayer Perceptron (MP). Each classifiers' performance is evaluated in term of accuracy and processing time. This research uses BBC… Read full abstract & cite →

Web page classification stemming machine learning Naïve Bayes k-NN SVM multilayer perceptron

Abstract doi.org/10.14569/IJACSA.2020.0110171 PDF

72

Performance Realization of CORDIC based GMSK System with FPGA Prototyping

Author 1: Renuka Kajur Author 2: K V Prasad

The Gaussian Minimum Shift Keying (GMSK) modulation is a digital modulation scheme using frequency shift keying with no phase discontinuities, and it provides higher spectral efficiency in radio communication systems. In this article, the cost-effective hardware architecture of the GMSK system is designed using pipelined CORDIC and optimized CORDIC models… Read full abstract & cite →

GMSK CORDIC algorithm FPGA DFS Gaussian Filter pipelined integrator differentiator channel

Abstract doi.org/10.14569/IJACSA.2020.0110172 PDF

73

HybridFatigue: A Real-time Driver Drowsiness Detection using Hybrid Features and Transfer Learning

Author 1: Qaisar Abbas

Road accidents mainly caused by the state of driver drowsiness. Detection of driver drowsiness (DDD) or fatigue is an important and challenging task to save road-side accidents. To help reduce the mortality rate, the “HybridFatigue” DDD system was proposed. This HybridFatigue system is based on integrating visual features through PERCLOS… Read full abstract & cite →

Driver fatigue image processing deep learning transfer learning convolutional neural network deep belief network

Abstract doi.org/10.14569/IJACSA.2020.0110173 PDF

74

An Improved Deep Learning Approach based on Variant Two-State Gated Recurrent Unit and Word Embeddings for Sentiment Classification

Author 1: Muhammad Zulqarnain Author 2: Suhaimi Abd Ishak Author 3: Rozaida Ghazali Author 4: Nazri Mohd Nawi Author 5: Muhammad Aamir Author 6: Yana Mazwin Mohmad Hassim

Sentiment classification is an important but challenging task in natural language processing (NLP) and has been widely used for determining the sentiment polarity from user opinions. And word embedding technique learned from a various contexts to produce same vector representations for words with same contexts and also has been extensively… Read full abstract & cite →

RNN GRU LSTM encoder Two-state GRU Long-term dependencies Sentence Classification

Abstract doi.org/10.14569/IJACSA.2020.0110174 PDF

75

Angle Adjustment for Vertical and Diagonal Communication in Underwater Sensor

Author 1: Aimen Anum Author 2: Tariq Ali Author 3: Shuja Akbar Author 4: Iqra Obaid Author 5: Muhammad Junaid Anjum Author 6: Umar Draz Author 7: Momina Shaheen

Underwater wireless sensor network has been an area of interest for few previous decades. UWSNs consists of tiny sensors responsible for monitoring different underwater events and transmit the collected data to sink node. In the harsh and continuously changing environment of water, gaining better communication and performance is a difficult… Read full abstract & cite →

Wireless Sensor Networks Underwater wireless sensor network DVRP Terrestrial Wireless Sensor Networks Depth Based Routing (DBR)

Abstract doi.org/10.14569/IJACSA.2020.0110175 PDF

76

Towards an Intelligent Approach for the Restitution of Physical Soil Parameters

Author 1: Ibtissem HOSNI Author 2: Lilia BENNACEUR FARAH Author 3: Imed Riadh FARAH Author 4: Raouf BENNACEUR Author 5: Mohamed Saber NACEUR

The analysis of the radar response on natural surfaces has been subject of intense research during the last decades in the field of remote sensing. Unless the availability of accurate values of surface roughness parameter, the restitution of soil moisture from radar backscattering signal can constantly provide inaccurate estimates. Characterization… Read full abstract & cite →

Inversion air fractions multi-layered multiscale SPM genetic algorithms

Abstract doi.org/10.14569/IJACSA.2020.0110176 PDF

77

An Innovative Smartphone-based Solution for Traffic Rule Violation Detection

Author 1: Waleed Alasmary

This paper introduces a novel smartphone-based solution to detect different traffic rule violations using a variety of computer vision and networking technologies. We propose the use of smartphones as participatory sensors via their cameras to detect the moving and stationary objects (e.g., cars and lane markers) and understand the resulting… Read full abstract & cite →

Participatory sensing traffic violation detection au-tomatic detection applied computer vision resources optimization

Abstract doi.org/10.14569/IJACSA.2020.0110177 PDF

78

HarmonyMoves: A Unified Prediction Approach for Moving Object Future Path

Author 1: Mohammed Abdalla Author 2: Hoda M. O. Mokhtar Author 3: Neveen ElGamal

Trajectory prediction plays a critical role on many location-based services such as proximity-based marketing, routing services, and traffic management. The vast majority of existing trajectory prediction techniques utilize the object’s motion history to predict the future path(s). In addition to, their assumptions that the objects’ moving with recognized patterns or… Read full abstract & cite →

Trajectory prediction machine learning moving objects

Abstract doi.org/10.14569/IJACSA.2020.0110178 PDF

79

A Survey on Cloud Data Security using Image Steganography

Author 1: Afrah Albalawi Author 2: Nermin Hamza

Now-a-days, cloud computing proved its impor-tance where it is being used by small and big organizations. The importance of cloud computing is due to the various services provided by the cloud. One of these services is storage as a service (SaaS) which allows users to store their data in the… Read full abstract & cite →

Security cloud computing image steganography data hiding data storage

Abstract doi.org/10.14569/IJACSA.2020.0110179 PDF

80

Developing Decision Tree based Models in Combination with Filter Feature Selection Methods for Direct Marketing

Author 1: Ruba Obiedat

Direct Marketing is a form of advertising strategies which aims to communicate directly with the most potential customers for a certain product using the most appropriate communication channel. Banks are spending a huge amount of money on their marketing campaigns, so they are increasingly interested in this topic in order… Read full abstract & cite →

Direct marketing data mining decision tree simpleCart C4.5 reptree random tree weka confusion matrix class-imbalance

Abstract doi.org/10.14569/IJACSA.2020.0110180 PDF

81

Modelling an Indoor Crowd Monitoring System based on RSSI-based Distance

Author 1: Syifaul Fuada Author 2: Trio Adiono Author 3: Prasetiyo Author 4: Hartian Widhanto Shorful Islam

This paper reports a real-time localization algorithm system that has a main function to determine the location of devices accurately. The model can locate the smartphone position passively (which do not need a set on a smartphone) as long as the Wi-Fi is turned on. The algorithm uses Intersection Density… Read full abstract & cite →

Wi-Fi tracker system RSSI-based distance intersection density method Nonlinear Least Square (NLS) method Kalman Filter (KF)

Abstract doi.org/10.14569/IJACSA.2020.0110181 PDF

82

Priority-based Routing Framework for Image Transmission in Visual Sensor Networks: Experimental Analysis

Author 1: Emad Felemban Author 2: Atif Naseer Author 3: Adil Amjad

A Visual Sensor Network (VSN) is a specialized Wireless Sensor Network (WSN) equipped with cameras. Its primary function is to capture images, videos and send them to power rich sink nodes for processing. As image data is much larger than scalar data sensed by a typical WSN, applications of VSN… Read full abstract & cite →

Priority-based routing visual sensor networks test-bed framework

Abstract doi.org/10.14569/IJACSA.2020.0110182 PDF

83

A Deep Learning Approach for Handwritten Arabic Names Recognition

Author 1: Mohamed Elhafiz Mustafa Author 2: Murtada Khalafallah Elbashir

Optical Character recognition (OCR) has enabled many applications as it has attained high accuracy for all printing documents and also for handwriting of many languages. How-ever, the state-of-the-art accuracy of Arabic handwritten word recognition is far behind. Arabic script is cursive (both printed and handwritten). Therefore, traditionally Arabic recognition systems… Read full abstract & cite →

Deep learning Arabic names recognition holistic paradigm

Abstract doi.org/10.14569/IJACSA.2020.0110183 PDF

84

Optimal Topology Generation for Linear Wireless Sensor Networks based on Genetic Algorithm

Author 1: Adil A. Sheikh Author 2: Emad Felemban

A linear network is a type of wireless sensor network in which sparse nodes are deployed along a virtual line; for example, on streetlights or columns of a bridge, tunnel, and pipelines. The typical deployment of Linear Wireless Sensor Net-work (LWSN) creates an energy hole around the sink node since… Read full abstract & cite →

Ad hoc networks network topology genetic al-gorithms computer simulation computer networks management network lifetime estimation optimization

Abstract doi.org/10.14569/IJACSA.2020.0110184 PDF

85

DDoS Flooding Attack Mitigation in Software Defined Networks

Author 1: Safaa MAHRACH Author 2: Abdelkrim HAQIQ

Distributed denial of service (DDoS) attacks which have been completely covered by the security community, today pose a potential new menace in the software defined networks (SDN) architecture. For example, the disruption of the SDN controller could interrupt data communication in the whole SDN network. DDoS attacks can produce a… Read full abstract & cite →

Software Defined Networks (SDN) Distributed De-nial of Service (DDoS) network security P4 language DDoS mitigation

Abstract doi.org/10.14569/IJACSA.2020.0110185 PDF

86

Investigation of Deep Learning-based Techniques for Load Disaggregation, Low-Frequency Approach

Author 1: Abdolmaged Alkhulaifi Author 2: Abdulah J. Aljohani

Unlike sub-metering, which requires individual appliances to be equipped with their own meters, non-intrusive load monitoring (NILM) use algorithms to discover appliance individual consumption from the aggregated overall energy reading. Approaches that uses low frequency sampled data are more applicable in a real world smart meters that has typical sampling… Read full abstract & cite →

NILM deep learning load disaggregation recur-rent long short-term memory gate recurrent unit

Abstract doi.org/10.14569/IJACSA.2020.0110186 PDF

87

Pedestrian Crowd Detection and Segmentation using Multi-Source Feature Descriptors

Author 1: Saleh Basalamah Author 2: Sultan Daud Khan

Crowd analysis is receiving much attention from research community due to its widespread importance in public safety and security. In order to automatically understand crowd dynamics, it is imperative to detect and segment crowd from the background. Crowd detection and segmentation serve as pre-processing step in most crowd analysis applications… Read full abstract & cite →

Crowd detection Fourier analysis crowd analysis crowd segmentation

Abstract doi.org/10.14569/IJACSA.2020.0110187 PDF

88

Towards an Improvement of Fourier Transform

Author 1: Khalid Aznag Author 2: Toufik Datsi Author 3: Ahmed El Oirrak Author 4: Essaid El Bachari

With the development of information technology and the coming period of large data, the image signals play an increasingly more significant role in our life because of the phenomenal development of system correspondence innovation, and the comparing high proficiency image handling strategies are requested earnestly. The Fourier transform is an… Read full abstract & cite →

Fourier transform NUFT noise invariant

Abstract doi.org/10.14569/IJACSA.2020.0110188 PDF

89

LEA-SIoT: Hardware Architecture of Lightweight Encryption Algorithm for Secure IoT on FPGA Platform

Author 1: Bharathi R Author 2: N. Parvatham

The Internet of Things (IoT) is one of the emerging technology in today’s world to connect billions of electronic devices and providing the data security to these electronic devices while transmission from the attacks is a big challenging task. These electronic devices are smaller and consume less power. The conventional… Read full abstract & cite →

IOT Devices Security algorithm Encryption Decryption Key generation FPGA

Abstract doi.org/10.14569/IJACSA.2020.0110189 PDF

90

Delay-Aware and User-Adaptive Offloading of Computation-Intensive Applications with Per-Task Delay in Mobile Edge Computing Networks

Author 1: Tarik Chanyour Author 2: Youssef HMIMZ Author 3: Mohamed EL GHMARY Author 4: Mohammed Oucamah CHERKAOUI MALKI

Mobile-edge computing (MEC) is a new paradigm with a great potential to extend mobile users capabilities because-of its proximity. It can contribute efficiently to optimize the energy consumption to preserve privacy, and reduce the bottlenecks of the network traffic. In addition, intensive-computation offloading is an active research area that can… Read full abstract & cite →

Mobile edge computing user-adaptive offloading computation-intensive offloading per-task delay tasks satisfaction optimization

Abstract doi.org/10.14569/IJACSA.2020.0110190 PDF