IJACSA Vol. 12 Issue 12 (2021)

1

Machine Learning Augmented Breast Tumors Classification using Magnetic Resonance Imaging Histograms

Author 1: Ahmed M. Sayed

At present, breast cancer survival rate significantly varies with the stage at which it was first detected. It is crucial to achieve early detection of malignant tumors to reduce their negative effects. Magnetic resonance imaging (MRI) is currently an important imaging modality in the detection of breast tumors. A need… Read full abstract & cite →

Tumor classification histogram analysis magnetic resonance imaging breast cancer machine learning

Abstract doi.org/10.14569/IJACSA.2021.0121201 PDF

2

New Feature Engineering Framework for Deep Learning in Financial Fraud Detection

Author 1: Chie Ikeda Author 2: Karim Ouazzane Author 3: Qicheng Yu Author 4: Svetla Hubenova

The total losses through online banking in the United Kingdom have increased because fraudulent techniques have progressed and used advanced technology. Using the history transaction data is the limit for discovering various patterns of fraudsters. Autoencoder has a high possibility to discover fraudulent action without considering the unbalanced fraud class… Read full abstract & cite →

Financial fraud online banking feature engineering unbalanced class data deep learning autoencoder

Abstract doi.org/10.14569/IJACSA.2021.0121202 PDF

3

Multifractal Analysis of Heart Rate Variability by Applying Wavelet Transform Modulas Maxima Method

Author 1: Evgeniya Gospodinova Author 2: Galya Georgieva-Tsaneva Author 3: Penio Lebamovski

The analysis of heart rate variability is based on the intervals between the successive heartbeats and thanks to it information about the functional state of the person can be obtained and the dynamics of its change can be traced. The nonlinear dynamics methods provide additional, prognostic information about the patient's… Read full abstract & cite →

RR time series heart rate variability wavelet transform modulas maxima method monofractal multifractal

Abstract doi.org/10.14569/IJACSA.2021.0121203 PDF

4

Neural Network Model for Artifacts Marking in EEG Signals

Author 1: Olga Komisaruk Author 2: Evgeny Nikulchev

One of the main methods for research of the holistic activity system of human brain is the method of electroencephalography (EEG). For example, eye movements, blink, hearth activity, muscle activity that affects EEG signal interfere with cerebral activity. The paper describes the development of an intelligent neural network model aimed… Read full abstract & cite →

Artifacts in EEG signal neural network model recurrent neural network U-net architecture

Abstract doi.org/10.14569/IJACSA.2021.0121204 PDF

5

Changing Communication Path to Maintain Connectivity of Mobile Robots in Multi-Robot System using Multistage Relay Networks

Author 1: Ryo Odake Author 2: Kei Sawai

Mobile robots are being increasingly used to gather information from disaster sites and prevent further damage in disaster areas. Previous studies discussed a multi-robot system that uses a multistage relay backbone network to gather information in a closed space after a disaster. In this system, the mobile robot explores its… Read full abstract & cite →

Multi-robot multistage relay network communication connectivity changing communication path

Abstract doi.org/10.14569/IJACSA.2021.0121205 PDF

6

A Conceptual Design Framework based on TRIZ Scientific Effects and Patent Mining

Author 1: E-Ming Chan Author 2: Ah-Lian Kor Author 3: Kok Weng Ng Author 4: Mei Choo Ang Author 5: Amelia Natasya Abdul Wahab

Conceptual design represents a critical initial design stage that involves both technical and creative thinking to develop and derive concept solutions to meet design requirements. TRIZ Scientific Effects (TRIZSE) is one of the TRIZ tools that utilize a database on functional, transformation, parameterization of scientific effects to provide conceptual solutions… Read full abstract & cite →

TRIZ patent mining natural language processing product design

Abstract doi.org/10.14569/IJACSA.2021.0121206 PDF

7

On Validating Cognitive Diagnosis Models for the Arithmetic Skills of Elementary School Students

Author 1: Hyejung Koh Author 2: Wonjin Jang Author 3: Yongseok Yoo

Cognitive diagnosis models (CDMs) have been shown to provide detailed evaluations of students’ achievement in terms of proficiency of individual cognitive attributes. Attribute hierarchy model (AHM), a variant of CDM, takes the hierarchical structure of those cognitive attributes to provide more accurate and interpretable measurements of learning achievement. However, advantages… Read full abstract & cite →

Cognitive diagnosis model attribute hierarchy model cognitive hierarchy model validation

Abstract doi.org/10.14569/IJACSA.2021.0121207 PDF

8

Gabor Descriptor for Representation of Spatial Feature

Author 1: Kohei Arai

New spatial feature descriptor based on Gabor wavelet function is proposed. The proposed method is compared to Fourier descriptor. The experimental results with Advanced Earth Observing Satellite: ADEOS / Advanced Visible and Near-Infrared Radiometer: AVNIR image show an effectiveness of the proposed method. It is found that the restored image… Read full abstract & cite →

Spatial feature Gabor wavelet descriptor Fourier descriptor wavelet transformation ADEOS (advanced earth observing satellite) AVNIR (advanced visible and near-infrared radiometer)

Abstract doi.org/10.14569/IJACSA.2021.0121208 PDF

9

Comparative Analysis of National Cyber Security Strategies using Topic Modelling

Author 1: Minkyoung Song Author 2: Dong Hee Kim Author 3: Sunha Bae Author 4: So-Jeong Kim

Comprehensive comparative analyses of national cyber security strategies (NCSSs) have thus far been limited or complicated by the unique nature of cybersecurity, which combines various areas such as technology, industry, economy, and defense in a complex manner. This study aims to characterize the NCSSs of major countries, quantitatively considering the… Read full abstract & cite →

Cybersecurity policy national cyber security strategy (NCSS) policy analysis quantitative analysis

Abstract doi.org/10.14569/IJACSA.2021.0121209 PDF

10

Digital Transformation of Human Resource Processes in Small and Medium Sized Enterprises using Robotic Process Automation

Author 1: Cristina Elena Turcu Author 2: Corneliu Octavian Turcu

The aim of this paper was to obtain data and information on the digital transformation of human resource (HR) processes in small- and medium-sized enterprises (SMEs) with the help of robotic process automation (RPA), in order to increase competitiveness in the digital age. Romanian businesses are attempting to close the… Read full abstract & cite →

Robotic process automation (RPA) small- and medium-sized enterprises (SME) human resource (HR) digital HR recruitment

Abstract doi.org/10.14569/IJACSA.2021.0121210 PDF

11

Computerization of Local Language Characters

Author 1: Yusring Sanusi Baso Author 2: Andi Agussalim

The objective of this study is to provide innovative model for the approach of language preservation. It is necessary to maintain indigenous languages in order to avoid language death. Script applications for indigenous languages are one of the solutions being pursued. This script program will facilitate communication through writing between… Read full abstract & cite →

Innovative model language maintenance Lontara script Makassarese local language hypertext-based application

Abstract doi.org/10.14569/IJACSA.2021.0121211 PDF

12

Trend of Bootstrapping from 2009 to 2016

Author 1: Paulin Boale Bomolo Author 2: Eugene Mbuyi Mukendi Author 3: Simon Ntumba Badibanga

The pedestal of fully homomorphic encryption is bootstrapping which allows unlimited processing on encrypted data. This technique is a bottleneck in the practicability of homomorphic encryption. From 2009 to 2016, the execution time of bootstrapping decreased from several hours to a few thousandths of a second for processing a logic… Read full abstract & cite →

Bootstrapping homomorphic encryption binary multiplication logic gates

Abstract doi.org/10.14569/IJACSA.2021.0121212 PDF

13

A Hybrid Similarity Measure for Dynamic Service Discovery and Composition based on Mobile Agents

Author 1: Naoufal EL ALLALI Author 2: Mourad FARISS Author 3: Hakima ASAIDI Author 4: Mohamed BELLOUKI

With the ever-present competition among companies, the prevalence of web services (WSs) is increasing dramatically. This leads to the diversity of the similar services and their developed nature, which makes the discovery of a relevant service during the composition phase a complex task. Since most of the competition companies aim… Read full abstract & cite →

IO-MATCHING latent semantic analysis mobile agents OWL-S semantic web services semantic similarity semantic relatedness

Abstract doi.org/10.14569/IJACSA.2021.0121213 PDF

14

Linear Mixed Effect Modelling for Analyzing Prosodic Parameters for Marathi Language Emotions

Author 1: Trupti Harhare Author 2: Milind Shah

Along with linguistic messages, prosody is an essential paralinguistic component of emotional speech. Prosodic parameters such as intensity, fundamental frequency (F0), and duration were studied worldwide to understand the relationship between emotions and corresponding prosody features for various languages. For evaluating prosodic aspects of emotional Marathi speech, the Marathi language… Read full abstract & cite →

Prosodic parameters a marathi language prosody model a two-way analysis of variance linear mixed-effect models r programming language

Abstract doi.org/10.14569/IJACSA.2021.0121214 PDF

15

Low Time Complexity Model for Email Spam Detection using Logistic Regression

Author 1: Zubeda K. Mrisho Author 2: Jema David Ndibwile Author 3: Anael Elkana Sam

Spam emails have recently become a concern on the Internet. Machine learning techniques such as Neural Networks, Naïve Bayes, and Decision Trees have frequently been used to combat these spam emails. Despite their efficiency, time complexity in high-dimensional datasets remains a significant challenge. Due to a large number of features… Read full abstract & cite →

Machine learning feature selection feature extraction parameter tuning

Abstract doi.org/10.14569/IJACSA.2021.0121215 PDF

16

Securing Images through Cipher Design for Cryptographic Applications

Author 1: Punya Prabha V Author 2: M D Nandeesh Author 3: Tejaswini S

The emphasis of this work is image encoding based on permutation as well as changes that utilize Latin cube as well as Latin square image cipher meant for both color and gray images. Generally, multimedia data are transmitted in the network as well websites, numerous methods have been established for… Read full abstract & cite →

Decryption encryption Latin square generator sequence generator

Abstract doi.org/10.14569/IJACSA.2021.0121216 PDF

17

A Review of Feature Selection Algorithms in Sentiment Analysis for Drug Reviews

Author 1: Siti Rohaidah Ahmad Author 2: Nurhafizah Moziyana Mohd Yusop Author 3: Afifah Mohd Asri Author 4: Mohd Fahmi Muhamad Amran

Social media data contain various sources of big data that include data on drugs, diagnosis, treatments, diseases, and indications. Sentiment analysis (SA) is a technology that analyses text-based data using machine learning techniques and Natural Language Processing to interpret and classify emotions in the subjective language. Data sources in the… Read full abstract & cite →

Sentiment analyis drug reviews feature selection metaheuristic

Abstract doi.org/10.14569/IJACSA.2021.0121217 PDF

18

Detection of Covid-19 through Cough and Breathing Sounds using CNN

Author 1: Evangeline D Author 2: Sumukh M Lohit Author 3: Tarun R Author 4: Ujwal K C Author 5: Sai Viswa Sumanth D

Covid-19 is declared a global pandemic by WHO due to its high infectivity rate. Medical attention is required to test and diagnose those with Covid-19 like symptoms. They are required to take an RT-PCR test which takes about 10-15 hours to obtain the result, and in some cases, it goes… Read full abstract & cite →

Coronavirus cough sounds mel frequency cepstral coefficients convolutional neural network reverse transcription–polymerase chain reaction (RT-PCR)

Abstract doi.org/10.14569/IJACSA.2021.0121218 PDF

19

An Empirical Study on Fake News Detection System using Deep and Machine Learning Ensemble Techniques

Author 1: T V Divya Author 2: Barnali Gupta Banik

With the revolution that happened in electronic gadgets in the past few years, information sharing has evolved into a new era that can spread the news globally in a fraction of minutes, either through yellow media or through satellite communication without any proper authentication. At the same time, all of… Read full abstract & cite →

Transfer learning GANS glove algorithms word2vec ensemble techniques auto encoders pre-trained models word embeddings BERT models

Abstract doi.org/10.14569/IJACSA.2021.0121219 PDF

20

DoItRight: An Arabic Gamified Mobile Application to Raise Awareness about the Effect of Littering among Children

Author 1: Ayman Alfahid Author 2: Hind Bitar Author 3: Mayda Alrige Author 4: Hend Abeeri Author 5: Eman Sulami

Littering contributes significantly to environmental pollution. Previous studies have noted that children are more likely to litter than adults. This target age group can be easily reached through mobile applications and games. Therefore, this study aims to investigate the effect of a gamified application in raising awareness on the effect… Read full abstract & cite →

Littering mobile application gamification children intention raise awareness behavior change Saudi Arabia

Abstract doi.org/10.14569/IJACSA.2021.0121220 PDF

21

Noise Cancellation in Computed Tomography Images through Adaptive Multi-Stage Noise Removal Paradigm

Author 1: Jenita Subash Author 2: Kalaivani S

Image de-noising is a noise removal approach, which is utilized to remove noise from the noisy image and is utilized to protect the significant features of images namely, corners, edges, textures, and sharp structures. For medical diagnosis Computer tomography (CT) images are mainly utilized. Due to acquisition and transmission in… Read full abstract & cite →

De-noising computer tomography discrete wavelet transform crow search optimization bilateral filter

Abstract doi.org/10.14569/IJACSA.2021.0121221 PDF

22

Smart Tourism Recommendation Model: A Systematic Literature Review

Author 1: Choirul Huda Author 2: Arief Ramadhan Author 3: Agung Trisetyarso Author 4: Edi Abdurachman Author 5: Yaya Heryadi

The tourism industry has become a potential sector to leverage economic growth. Many attractions are detected on several platforms. Machine learning and data mining are some potential technologies to improve the service of tourism by providing recommendations for a specific attraction for tourists according to their location and profile. This… Read full abstract & cite →

Systematic review tourism smart tourism digital tourism recommender system

Abstract doi.org/10.14569/IJACSA.2021.0121222 PDF

23

Predicting Aesthetic Preferences: Does the Big-Five Matters?

Author 1: Carolyn Salimun Author 2: Esmadi Abu bin Abu Seman Author 3: Wan Nooraishya binti Wan Ahmad Author 4: Zaidatol Haslinda binti Abdullah Sani Author 5: Saman Shishehchi

User experience is imperative for the success of interactive products. User experience is notably affected by user preferences; the higher the preference, the better the user experience. The way users develop their preferences are closely related to personality traits. However, there is a void in understanding the association between personality… Read full abstract & cite →

User experience aesthetic dimensions personality traits big-five

Abstract doi.org/10.14569/IJACSA.2021.0121223 PDF

24

An Ontology-based Decision Support System for Multi-objective Prediction Tasks

Author 1: Touria Hamim Author 2: Faouzia Benabbou Author 3: Nawal Sael

Student profile modeling is a topic that continues to attract the interest of both academics and researchers because of its crucial role in the development of predictive or decision support systems. It provides platforms to build intelligent systems such as e-orientation, e-recruitment, recommendation, and prediction systems. The purpose of this… Read full abstract & cite →

Profile modeling student ontology machine learning academic domain

Abstract doi.org/10.14569/IJACSA.2021.0121224 PDF

25

Towards a New Metamodel Approach of Scrum, XP and Ignite Methods

Author 1: Merzouk Soukaina Author 2: Elkhalyly Badr Author 3: Marzak Abdelaziz Author 4: Sael Nawal

The agile approach is a philosophy that aims to avoid the traditional management approach problems. It concentrates on the collaborative approach, using iterative and incremental development. The client receives a first production version (increment) of his software, faster thanks to agile methodologies. Project needs are influenced by the rapid expansion… Read full abstract & cite →

Agile software development scrum extreme programming XP internet of things IoT Ignite IoT Methodology IoT Methodology metamodel MDA OMG

Abstract doi.org/10.14569/IJACSA.2021.0121225 PDF

26

Towards a Computational Model to Thematic Typology of Literary Texts: A Concept Mining Approach

Author 1: Abdulfattah Omar

In recent years, computational linguistic methods have been widely used in different literary studies where they have been proved useful in breaking into the mainstream of literary critical scholarship as well as in addressing different inherent challenges that were long associated with literary studies. Such computational approaches have revolutionized literary… Read full abstract & cite →

Computational linguistics concept mining data mining empirical methodologies semantic annotators text clustering typology

Abstract doi.org/10.14569/IJACSA.2021.0121226 PDF

27

Educational Data Mining in Predicting Student Final Grades on Standardized Indonesia Data Pokok Pendidikan Data Set

Author 1: Nathan Priyasadie Author 2: Sani Muhammad Isa

Educational Data Mining has been implemented in predicting student final grade in Indonesia. It can be used to improve learning efficiency by paying more attention to students who are predicted to have low scores, but in practice it shows that each algorithm has a different performance depending on the attributes… Read full abstract & cite →

Educational data mining student performance classification models feature selection parameter optimization

Abstract doi.org/10.14569/IJACSA.2021.0121227 PDF

28

Cyberbullying Detection in Textual Modality

Author 1: Evangeline D Author 2: Amy S Vadakkan Author 3: Sachin R S Author 4: Aakifha Khateeb Author 5: Bhaskar C

Cyberbullying is the use of technology to harass, threaten or target another individual. Online bullying can be particularly damaging and upsetting since it is usually anonymous and it’s often hard to trace the bully. Sometimes cyberbullying can lead to issues like anxiety, depression, shame, suicide, etc. Most of the cyberbullying… Read full abstract & cite →

Cyberbullying detection support vector machine (SVM) kNN (k nearest neighbor) logistic regression random forest classifier

Abstract doi.org/10.14569/IJACSA.2021.0121228 PDF

29

Customers’ Opinions on Mobile Telecommunication Services in Malaysia using Sentiment Analysis

Author 1: Muhammad Radzi Abdul Rahim Author 2: Shuzlina Abdul-Rahman Author 3: Yuzi Mahmud

Mobile telecommunication companies in Malaysia have been widely used in the recent decade. There is intense competition among them to keep and gain new customers by offering various services. The reviews of the services by the customers are commonly shared on social media such as Twitter. Those reviews are essential… Read full abstract & cite →

Sentiment analysis predictive analytics RapidMiner mobile telecommunications

Abstract doi.org/10.14569/IJACSA.2021.0121229 PDF

30

Detecting Server-Side Request Forgery (SSRF) Attack by using Deep Learning Techniques

Author 1: Khadejah Al-talak Author 2: Onytra Abbass

Server-side request forgery (SSRF) is a security vulnerability that arises from a vulnerability in web applications. For example, when the services are accessed via URL the attacker supply or modify a URL to access services on servers that he is not permitted to use. In this research, various types of… Read full abstract & cite →

Server-side request forgery (SSRF) machine learning (ML) deep learning (DL) long short-term memory (LSTM)

Abstract doi.org/10.14569/IJACSA.2021.0121230 PDF

31

English Semantic Similarity based on Map Reduce Classification for Agricultural Complaints

Author 1: Esraa Rslan Author 2: Mohamed H. Khafagy Author 3: Kamran Munir Author 4: Rasha M.Badry

Due to environmental changes, including global warming, climatic changes, ecological impact, and dangerous diseases like the Coronavirus epidemic. Since coronavirus is a hazardous disease that causes many deaths, government of Egypt undertook many strict regulations, including lockdowns and social distancing measures. These circumstances have affected agricultural experts' presence to help… Read full abstract & cite →

Agricultural system semantic textual similarity text classification latent semantic analysis part of speech

Abstract doi.org/10.14569/IJACSA.2021.0121231 PDF

32

Multi-objective based Cloud Task Scheduling Model with Improved Particle Swarm Optimization

Author 1: Chaitanya Udatha Author 2: Gondi Lakshmeeswari

Now-a-days, advanced technologies have emerged from the parallel, cluster, client-server, distributed, and grid computing paradigms. Cloud is one of the advanced technology paradigms that deliver services to users on demand by cost per usage over the internet. Nowadays, a number of cloud services have rapidly increased to facilitate the user… Read full abstract & cite →

Cloud computing task scheduling cloud service provider virtual machines PSO multi-objective cloud service broker

Abstract doi.org/10.14569/IJACSA.2021.0121232 PDF

33

GML_DT: A Novel Graded Multi-label Decision Tree Classifier

Author 1: Wissal Farsal Author 2: Mohammed Ramdani Author 3: Samir Anter

The goal of Graded Multi-label Classification (GMLC) is to assign a degree of membership or relevance of a class label to each data point. As opposed to multi-label classification tasks which can only predict whether a class label is relevant or not. The graded multi-label setting generalizes the multi-label paradigm… Read full abstract & cite →

Graded multi-label classification algorithm adaptation decision tree classifier label dependencies

Abstract doi.org/10.14569/IJACSA.2021.0121233 PDF

34

A Recognition Method for Cassava Phytoplasma Disease (CPD) Real-Time Detection based on Transfer Learning Neural Networks

Author 1: Irma T. Plata Author 2: Edward B. Panganiban Author 3: Darios B. Alado Author 4: Allan C. Taracatac Author 5: Bryan B. Bartolome Author 6: Freddie Rick E. Labuanan

Object detection technology aims to detect the target objects with the theories and methods of image processing and pattern recognition, determine the semantic categories of these objects, and mark the specific position of the target object in the image. This study generally aims to establish a recognition method for Cassava… Read full abstract & cite →

Cassava phytoplasma disease faster regions with convolutional neural networks (R-CNN) inception v2 you only look once (YOLO) v4 object detection precision agriculture

Abstract doi.org/10.14569/IJACSA.2021.0121234 PDF

35

Optimizing Smartphone Recommendation System through Adaptation of Genetic Algorithm and Progressive Web Application

Author 1: Khyrina Airin Fariza Abu Samah Author 2: Nursalsabiela Affendy Azam Author 3: Raseeda Hamzah Author 4: Chiou Sheng Chew Author 5: Lala Septem Riza

The ubiquity of smartphone use nowadays is undeniable exponentially growing, replaced cell phones, and a host of other gadgets replaced personal computers to a certain degree. Different smartphones specifications and overwhelmed smartphone advertisements have caused broader choices for the customer. Many qualitative and quantitative criteria need to consider, and customers… Read full abstract & cite →

Genetic algorithm progressive web application recommendation smartphone introduction

Abstract doi.org/10.14569/IJACSA.2021.0121235 PDF

36

SG-TSE: Segment-based Geographic Routing and Traffic Light Scheduling for EV Preemption based Negative Impact Reduction on Normal Traffic

Author 1: Shridevi Jeevan Kamble Author 2: Manjunath R Kounte

Emergency Vehicles (EVs) play a significant role in giving timely assistance to the general public by saving lives and avoiding property damages. The EV preemption models help the EVs to maintain their speed along their path by pre-clearing the normal vehicles from the path. However, few preemption models are designed… Read full abstract & cite →

Emergency vehicle (EV) preemption Segment-based Geographic routing and Traffic light Scheduling based EV preemption (SG-TSE) geographic routing Segment based Geographic Routing (SGR) dynamic traffic light scheduling Dynamic Traffic light Scheduling and EV preemption (DTSE) green phase adjustment

Abstract doi.org/10.14569/IJACSA.2021.0121236 PDF

37

Detection of Data Leaks through Large Scale Distributed Query Processing using Machine Learning

Author 1: Kiranmai MVSV Author 2: D Haritha

With the growth in the distributed data processing and data being the fuel for each of the processes, the query processes of the data are expected to be significantly lower. Hence, the distribution of the data is highly expected and during the distributing of the data, the chances for data… Read full abstract & cite →

Distributed query processing distributed data leak data leak detection attribute subset equivalence dynamic inference adaptive threshold model introduction

Abstract doi.org/10.14569/IJACSA.2021.0121237 PDF

38

Knowledge Graph-based Framework for Domain Expertise Elicitation and Reuse in e-Learning

Author 1: Jawad Berri

Reusing knowledge expertise of different domains in e-learning is an ideal approach to sustain knowledge and disseminate it throughout the different organizations’ processes. This approach generates a valuable source for instruction which can enrich significantly the quality of teaching and training as it uses effortlessly expertise from its original sources… Read full abstract & cite →

Knowledge graph domain expertise e-learning knowledge elicitation learning web

Abstract doi.org/10.14569/IJACSA.2021.0121238 PDF

39

Leveraging Artificial Intelligence–enabled Workflow Framework for Legacy Transformation

Author 1: Abdullah Al-Barakati

The rapid advancement of web technologies coupled with evolving business needs make legacy transformation a necessity for enterprises around the world. However, the risks in such a transformation must be mitigated with an approach that is flexible enough to allow for a gradual and low risk transformation process. This paper… Read full abstract & cite →

Legacy systems service oriented architecture workflow management legacy transformation digital transformation artificial intelligence (AI)

Abstract doi.org/10.14569/IJACSA.2021.0121239 PDF

40

Developing the Mathematical Model of the Bipedal Walking Robot Executive Mechanism

Author 1: Zhanibek Issabekov Author 2: Nakhypbek Aldiyarov

The paper considers the accuracy of footstep control in the vicinity of the application object. The methodology of forming a simulation of the executive electro-hydraulic servomechanism is developed. The paper presents control algorithms in the dynamic walking mode. The issues of stabilization of the sensors installed in the soles are… Read full abstract & cite →

Exoskeleton manipulator model kinematics dynamics

Abstract doi.org/10.14569/IJACSA.2021.0121240 PDF

41

Data Backup Approach using Software-defined Wide Area Network

Author 1: Ahmed Attia Author 2: Nour Eldeen Khalifa Author 3: Amira Kotb

Over the past several years, the traditional approaches of managing and utilizing hybrid Wide Area Network (WAN) connections, between sites across geographical regions, have posed many challenges to enterprises. Software-Defined Wide Area Network (SD-WAN) has emerged as a new paradigm that can overcome the traditional WAN challenges like the lack… Read full abstract & cite →

Wide area networks software defined network software defined wide area network

Abstract doi.org/10.14569/IJACSA.2021.0121241 PDF

42

Critical Data Consolidation in MDM to Develop the Unified Version of Truth

Author 1: Dupinder Kaur Author 2: Dilbag Singh

Organization seeking growth and competitive lead should use Master Data Management (MDM) as a foundation for efficient decision making. An MDM framework creates a trusted and reliable continuous record of customers, products, suppliers and other shared data sets. In master data, the critical data is consolidated to portray essential business… Read full abstract & cite →

Master data management (MDM) master record TALEND data matching and merging

Abstract doi.org/10.14569/IJACSA.2021.0121242 PDF

43

“Digital Influencer”: Development and Coexistence with Digital Social Groups

Author 1: Jirawat Sookkaew Author 2: Pipatpong Saephoo

Digital identities, also known as virtual influencers, are created by humans through the creation of digital tools that mimic human behavior through the use of creative design. As a result of this, it has resulted in the creation of a group of people who are very fond of and trendy… Read full abstract & cite →

Virtual influencer online social virtual character media

Abstract doi.org/10.14569/IJACSA.2021.0121243 PDF

44

Modified Deep Residual Quantum Computing Optimization Technique for IoT Platform

Author 1: Rasha M. Abd El-Aziz Author 2: Alanazi Rayan Author 3: Osama R. Shahin Author 4: Ahmed Elhadad Author 5: Amr Abozeid Author 6: Ahmed I. Taloba

Internet of Things (IoT) is defined as millions of interconnections between wireless devices to obtain data globally. The multiple data are targeting to observe the data through a common platform, and then it becomes essential to investigate accuracy for realizing the best IoT platform. To address the growing demand for… Read full abstract & cite →

Internet of things (IoT) cloud Res-HQCNN intrusion detection system (IDS) optimization

Abstract doi.org/10.14569/IJACSA.2021.0121244 PDF

45

Adding Water Path Capabilities to QWAT Databases

Author 1: Bogdan Vaduva Author 2: Honoriu Valean

The main purpose of this article is to show how to extend an existing open source database, namely QWAT (Acronym from Quantum GIS Water Plugin), by using pgRouting (PostgreSQL routing extension) in order to achieve the ability to find the water flow in a water network. The water path in… Read full abstract & cite →

Relational database graphs water network water path open source QWAT

Abstract doi.org/10.14569/IJACSA.2021.0121245 PDF

46

An Integrated Reinforcement DQNN Algorithm to Detect Crime Anomaly Objects in Smart Cities

Author 1: Jyothi Mandala Author 2: Pragada Akhila Author 3: Vulapula Sridhar Reddy

In olden days it is difficult to identify the unsusceptible forces happening in the society but with the advancement of smart devices, government has started constructing smart cities with the help of IoT devices, to capture the susceptible events happening in and around the surroundings to reduce the crime rate… Read full abstract & cite →

HybridFly Advanced Encryption Standard (AES) reinforcement anomaly detection crime rate prediction security attacks RCNN

Abstract doi.org/10.14569/IJACSA.2021.0121246 PDF

47

Monitoring the Growth of Tomatoes in Real Time with Deep Learning-based Image Segmentation

Author 1: Sigit Widiyanto Author 2: Dheo Prasetyo Nugroho Author 3: Ady Daryanto Author 4: Moh Yunus Author 5: Dini Tri Wardani

Increasing agricultural productivity such as tomatoes needs to be increased, considering the consumption growth reaches 6.34% per year. Efforts to increase productivity can be made through several methods, such as counting and predicting the time of fruit to be harvested. This information is a a visual problem, so computer vision… Read full abstract & cite →

Deep learning Mask R-CNN segmentation tomato growth

Abstract doi.org/10.14569/IJACSA.2021.0121247 PDF

48

Personalized Recommender System for Arabic News on Twitter

Author 1: Bashaier Almotairi Author 2: Mayada Alrige Author 3: Salha Abdullah

Reading online news is the most popular way to read articles from news sources worldwide. Nowadays, we have observed a mass increase of information that is shared through social media and specially news. Many researchers have proposed different techniques that focus on providing recommendations to news articles, but most of… Read full abstract & cite →

Hybrid recommender system online social network Arabic news recommendation

Abstract doi.org/10.14569/IJACSA.2021.0121248 PDF

49

Machine Learning Model through Ensemble Bagged Trees in Predictive Analysis of University Teaching Performance

Author 1: Omar Chamorro-Atalaya Author 2: Carlos Chávez-Herrera Author 3: Marco Anton-De los Santos Author 4: Juan Anton-De los Santos Author 5: Almintor Torres-Quiroz Author 6: Antenor Leva-Apaza Author 7: Abel Tasayco-Jala Author 8: Gutember Peralta-Eugenio

The objective of this study is to analyze and discuss the metrics of the Machine Learning model through the Ensemble Bagged Trees algorithm, which will be applied to data on satisfaction with teaching performance in the virtual environment. Initially the classification analysis through the Matlab R2021a software, identified an Accuracy… Read full abstract & cite →

Machine learning ensemble bagged trees predictive analysis teaching performance

Abstract doi.org/10.14569/IJACSA.2021.0121249 PDF

50

Feature Extraction based Breast Cancer Detection using WPSO with CNN

Author 1: Naga Deepti Ponnaganti Author 2: Raju Anitha

The cancer reports of the past few years in India says that 30% cases have breast cancer and moreover it may increase in near future. It is added that in every two minutes, one woman is diagnosed and one expires in every nine minutes. Early diagnosis of cancer saves the… Read full abstract & cite →

Breast cancer microcalcifications weighted particle swarm optimization (WPSO) Convolutional Neural Networks (CNNs) mammogram

Abstract doi.org/10.14569/IJACSA.2021.0121250 PDF

51

Real-Time Emotional Expression Generation by Humanoid Robot

Author 1: Master Prince

Emotion integrates different aspects of a person, including mood (current emotional state), personality, voice or speech, color around the eyes, and facial organs' movement. We are considering the mood because a person’s current emotional state must always affect upcoming emotions. So behind an emotion, all these parameters are involved, and… Read full abstract & cite →

Artificial facial expression emotional speech database convunational neural network RGB pattern humanoid robot human-robot interaction

Abstract doi.org/10.14569/IJACSA.2021.0121251 PDF

52

Deep Learning-enabled Detection of Acute Ischemic Stroke using Brain Computed Tomography Images

Author 1: Khalid Babutain Author 2: Muhammad Hussain Author 3: Hatim Aboalsamh Author 4: Majed Al-Hameed

Stroke is the second leading cause of death globally. Computed Tomography plays a significant role in the initial diagnosis of suspected stroke patients. Currently, stroke is subjectively interpreted on CT scans by domain experts, and significant inter- and intra-observer variation has been documented. Several methods have been proposed to detect… Read full abstract & cite →

Acute ischemic brain stroke deep learning ‎‎‎convolutional neural ‎‎network ‎ CT brain slice classification brain tissue segmentation brain tissue contrast enhancement brain tissue classification

Abstract doi.org/10.14569/IJACSA.2021.0121252 PDF

53

Learning Cultural Heritage History in Muzium Negara through Role-Playing Game

Author 1: Nor Aiza Moketar Author 2: Nurul Hidayah Mat Zain Author 3: Siti Nuramalina Johari Author 4: Khyrina Airin Fariza Abu Samah Author 5: Lala Septem Riza Author 6: Massila Kamalrudin

The traditional classroom-based teaching and learning of the History subject are ineffective and less interactive, influencing the students’ interest and motivation to learn history. Therefore, museum-based learning was proposed to supplement classroom-based learning for effective teaching and learning of the History subject. However, the excursions to the museum are often… Read full abstract & cite →

Muzium Negara history role-playing games gamification museum-based learning enjoyable

Abstract doi.org/10.14569/IJACSA.2021.0121253 PDF

54

Smart Irrigation and Precision Farming of Paddy Field using Unmanned Ground Vehicle and Internet of Things System

Author 1: Srinivas A Author 2: J Sangeetha

Paddy is one of the largest consumed staple foods across the globe, especially in Asian countries. With the population growing larger and the agricultural land shrinking, there is a need to increase the yield of the crop to meet the ever-growing food demand. The yield of paddy largely depends on… Read full abstract & cite →

Sensor cloud mobile application agriculture water valve

Abstract doi.org/10.14569/IJACSA.2021.0121254 PDF

55

Adaptive Trajectory Control Design for Bilateral Robotic Arm with Enforced Sensorless and Acceleration based Force Control Technique

Author 1: Nuratiqa Natrah Mansor Author 2: Muhammad Herman Jamaluddin Author 3: Ahmad Zaki Shukor

This study offers an approach for tackling the issue of instability on the computed force generated on a joint of a robotic arm by improving the model of a bilateral master-slave haptic system with an adaptive technique known as Reaction Force Observer (RFOB). The purpose of recommended modelling is to… Read full abstract & cite →

Force and position controller reaction force observer bilateral control robotic arm sensorless system response

Abstract doi.org/10.14569/IJACSA.2021.0121255 PDF

56

Assessment System of Local Government Projects Prototype in Indonesia

Author 1: Herri Setiawan Author 2: Husnawati Author 3: Tasmi

The purpose of this research is to build an application that is used for project evaluation and provide recommendations on project performance in local government agencies. In this study, project evaluation was carried out using the Group Decision Making (GDM) model based on the Group Decision Support System (GDSM) concept… Read full abstract & cite →

Group Decision Making (GDM) Group Decision Support System (GDSS) MULTI-CRITERIA DECISION MAKING (MCDM) Project Management Body of Knowledge (PMBOK) local government

Abstract doi.org/10.14569/IJACSA.2021.0121256 PDF

57

M-SVR Model for a Serious Game Evaluation Tool

Author 1: Kamal Omari Author 2: Said Harchi Author 3: Mohamed Moussetad Author 4: El Houssine Labriji Author 5: Ali Labriji

Today, due to their interactive, participatory and entertaining nature, the Serious Games set themselves apart from other learning methods used in teaching. Much progress has been made in the design techniques and methods of Serious Games, but little in their evaluation. In order to fill this gap, we had proposed… Read full abstract & cite →

Serious game evaluation tool multi-output support vector regression

Abstract doi.org/10.14569/IJACSA.2021.0121257 PDF

58

Modified Method of Traffic Engineering in DCN with a Ramified Topology

Author 1: As’ad Mahmoud As’ad Alnaser Author 2: Yurii Kulakov Author 3: Dmytro Korenko

This article consider two main local network topologies. Based on the basic DFS protocol, a mathematical model has been developed for a new method of multipath routing and traffic engineering in data centers with a ramified topology. This method was developed with the features and benefits of SDN in mind… Read full abstract & cite →

Local networks traffic engineering SDN DCN DFS Mininet

Abstract doi.org/10.14569/IJACSA.2021.0121258 PDF

59

Analysis of Crime Pattern using Data Mining Techniques

Author 1: Chikodili Helen Ugwuishiwu Author 2: Peter O. Ogbobe Author 3: Matthew Chukwuemeka Okoronkwo

The advancement in Information Technology permits high volume of data to be generated in databases of institutions, organizations, government, including Law Enforcement Agencies (LEAs). Technologies have also been developed to store and manipulate these data to enhance decision making. Crime remains a severe threat to humanity. Criminals currently, exploit highly… Read full abstract & cite →

Information technology law enforcement agency data mining crime classification and rule induction

Abstract doi.org/10.14569/IJACSA.2021.0121259 PDF

60

Human Face Recognition from Part of a Facial Image based on Image Stitching

Author 1: Osama R. Shahin Author 2: Rami Ayedi Author 3: Alanazi Rayan Author 4: Rasha M. Abd El-Aziz Author 5: Ahmed I. Taloba

Most of the current techniques for face recognition require the presence of a full face of the person to be recognized, and this situation is difficult to achieve in practice, the required person may appear with a part of his face, which requires prediction of the part that did not… Read full abstract & cite →

Face recognition image stitching principal component analysis Eigenfaces distance classifiers geometrical approach

Abstract doi.org/10.14569/IJACSA.2021.0121260 PDF

61

Comparative Heart Rate Variability Analysis of ECG, Holter and PPG Signals

Author 1: Galya N. Georgieva-Tsaneva Author 2: Evgeniya Gospodinova

The article presents a demonstrative software system with included procedures for input, preprocessing and mathematically based analysis of cardiac data. The created program has the ability to work with the following signals: ECG, holter recordings, PPG signals. The presented system uses real cardiological data from patients and obtained with modern… Read full abstract & cite →

Heart rate variability cardiovascular diseases mathematical analysis holter records software system

Abstract doi.org/10.14569/IJACSA.2021.0121261 PDF

62

Multistage Relay Network Topology using IEEE802.11ax for Construction of Multi-robot Environment

Author 1: Ryo Odake Author 2: Kei Sawai Author 3: Noboru Takagi Author 4: Hiroyuki Masuta Author 5: Tatsuo Motoyoshi

This paper describes an information gathering system comprising multiple mobile robots and a wireless sensor network. In general, a single robot searches an environment using a teleoperation system in a multistage relay network while maintaining communication quality. However, the search range of a single robot is limited, and it is… Read full abstract & cite →

Multi-robot system IEEE802.11ax information gathering multistage relay network network topology

Abstract doi.org/10.14569/IJACSA.2021.0121262 PDF

63

Use of Value Chain Mapping to Determine R&D Domain Knowledge Retention Framework Extended Criteria

Author 1: Mohamad Safuan Bin Sulaiman Author 2: Ariza Nordin Author 3: Nor Laila Md Noor Author 4: Wan Adilah Wan Adnan

Implementing a knowledge retention (KR) strategy is crucial to overcome the loss of expert knowledge due to employee turnover and retirement. The knowledge loss phenomenon caused organizations to face enormous risks which affect performance. KR frameworks and models are made available beyond research and development (R&D) organizations, to address knowledge… Read full abstract & cite →

Knowledge retention framework research and development porter value chain knowledge management knowledge loss research intensive portfolio knowledge chain model

Abstract doi.org/10.14569/IJACSA.2021.0121263 PDF

64

Adaptive Deep Learning based Cryptocurrency Price Fluctuation Classification

Author 1: Ahmed Saied El-Berawi Author 2: Mohamed Abdel Fattah Belal Author 3: Mahmoud Mahmoud Abd Ellatif

This paper proposes a deep learning based predictive model for forecasting and classifying the price of cryptocurrency and the direction of its movement. These two tasks are challenging to address since cryptocurrencies prices fluctuate with extremely high volatile behavior. However, it has been proven that cryptocurrency trading market doesn’t show… Read full abstract & cite →

Computer intelligence cryptocurrency deep learning market movement recurrent neural network timeseries forecasting

Abstract doi.org/10.14569/IJACSA.2021.0121264 PDF

65

User-centric Activity Recognition and Prediction Model using Machine Learning Algorithms

Author 1: Namrata Roy Author 2: Rafiul Ahmed Author 3: Mohammad Rezwanul Huq Author 4: Mohammad Munem Shahriar

Human Activity Recognition has been a dynamic research area in recent years. Various methods of collecting data and analyzing them to detect activity have been well investigated. Some machine learning algorithms have shown excellent performance in activity recognition, based on which many applications and systems are being developed. Unlike this… Read full abstract & cite →

Machine learning algorithms activity recognition gradient boosting next activity prediction LSTM sequence prediction model

Abstract doi.org/10.14569/IJACSA.2021.0121265 PDF

66

Study of Haar-AdaBoost (VJ) and HOG-AdaBoost (PoseInv) Detectors for People Detection

Author 1: Nagi OULD TALEB Author 2: Mohamed Larbi BEN MAATI Author 3: Mohamedade Farouk NANNE Author 4: Aicha Mint Aboubekrine Author 5: Adil CHERGUI

Object detection in general and pedestrians in particular in images and videos is a very popular research topic within the computer vision community; it is an issue that is currently at the heart of much research. The detection of people is a particularly difficult subject because of the great variability… Read full abstract & cite →

Pedestrian detection learned-based methods Haar like features HOG descriptor AdaBoost behavior analysis

Abstract doi.org/10.14569/IJACSA.2021.0121266 PDF

67

Towards Stopwords Identification in Tamil Text Clustering

Author 1: M. S. Faathima Fayaza Author 2: F. Fathima Farhath

Now-a-days, digital documents have become the primary source of information. Therefore, natural language processing is widely utilized in information retrieval, topic modeling, document classification, and document clustering. Preprocessing plays a significant role in all of these applications. One of the critical steps in preprocessing is removing stopwords. Many languages have… Read full abstract & cite →

Stopwords Tamil pre-processing TF-IDF clustering

Abstract doi.org/10.14569/IJACSA.2021.0121267 PDF

68

Improving Chi-Square Feature Selection using a Bernoulli Model for Multi-label Classification of Indonesian-Translated Hadith

Author 1: Fahmi Salman Nurfikri Author 2: Adiwijaya

Hadith is the foundational knowledge in Islam that must be studied and practiced by Muslims. In the Hadith, several types of teachings are beneficial to Muslims and all of mankind. Some Hadith serve as advice, while others contain prohibitions that Muslims should adhere to. There are yet others that do… Read full abstract & cite →

Bernoulli model Chi-Square feature selection hadith classification

Abstract doi.org/10.14569/IJACSA.2021.0121268 PDF

69

Transfer Learning-based One Versus Rest Classifier for Multiclass Multi-Label Ophthalmological Disease Prediction

Author 1: Akanksha Bali Author 2: Vibhakar Mansotra

The main objective of this paper is to propose transfer learning technique for multiclass multilabel opthalmological diseases prediction in fundus images by using the one versus rest strategy. The proposed transfer learning-based techniques to detect eight categories (seven diseases and one normal class) are Normal, Diabetic retinopathy, Cataract, Glaucoma, Age-related… Read full abstract & cite →

Fundus images one versus rest strategy transfer learning VGG-16 augmentation

Abstract doi.org/10.14569/IJACSA.2021.0121269 PDF

70

Collaborative Multi-Resolution MSER and Faster RCNN (MRMSER-FRCNN) Model for Improved Object Retrieval of Poor Resolution Images

Author 1: Amitha I C Author 2: N S Sreekanth Author 3: N K Narayanan

Object detection and retrieval is an active area of research. This paper proposes a collaborative approach that is based on multi-resolution maximally stable extreme regions (MRMSER) and faster region-based convolutional neural network (FRCNN) suitable for efficient object detection and retrieval of poor resolution images. The proposed method focuses on improving… Read full abstract & cite →

Faster RCNN feature representation multi-resolution MSER object detection object retrieval

Abstract doi.org/10.14569/IJACSA.2021.0121270 PDF

71

A Framework for Weak Signal Detection in Competitive Intelligence using Semantic Clustering Algorithms

Author 1: Adil Bouktaib Author 2: Abdelhadi Fennan

Companies nowadays are sharing a lot of data on the web in structured and unstructured format, the data holds many signals from which we can analyze and detect innovation using weak signal detection approaches. To gain a competitive advantage over competitors, the velocity and volume of data available online must… Read full abstract & cite →

Competitive intelligence apache spark big data weak signal detection web mining semantic clustering

Abstract doi.org/10.14569/IJACSA.2021.0121271 PDF

72

Virtual Reality Simulation to Help Decrease Stress and Anxiety Feeling for Children during COVID-19 Pandemic

Author 1: Devi Afriyantari Puspa Putri Author 2: Ratri Kusumaningtyas Author 3: Tsania Aldi Author 4: Fikri Zaki Haiqal

The occurrence of COVID-19 pandemic has changed people’s life in every aspect, such as applying social distancing, the transition from offline to online activity are applied in order to decrease and stop the spread of the virus. This sudden change causes a fairly high level of anxiety and stress in… Read full abstract & cite →

Blender COVID-19 Unity3D virtual reality

Abstract doi.org/10.14569/IJACSA.2021.0121272 PDF

73

Gesture based Arabic Sign Language Recognition for Impaired People based on Convolution Neural Network

Author 1: Rady El Rwelli Author 2: Osama R. Shahin Author 3: Ahmed I. Taloba

The Arabic Sign Language has endorsed outstanding research achievements for identifying gestures and hand signs using the deep learning methodology. The term "forms of communication" refers to the actions used by hearing-impaired people to communicate. These actions are difficult for ordinary people to comprehend. The recognition of Arabic Sign Language… Read full abstract & cite →

Arabic sign language convolution neural network hand movements sensing device

Abstract doi.org/10.14569/IJACSA.2021.0121273 PDF

74

Micro Expression Recognition: Multi-scale Approach to Automatic Emotion Recognition by using Spatial Pyramid Pooling Module

Author 1: Lim Jun Sian Author 2: Marzuraikah Mohd Stofa Author 3: Koo Sie Min Author 4: Mohd Asyraf Zulkifley

Facial expression is one of the obvious cues that humans used to express their emotions. It is a necessary aspect of social communication between humans in their daily lives. However, humans do hide their real emotions in certain circumstances. Therefore, facial micro-expression has been observed and analyzed to reveal the… Read full abstract & cite →

Micro expression recognition facial expression spatial pyramid pooling module multi-scale approach deep learning

Abstract doi.org/10.14569/IJACSA.2021.0121274 PDF

75

Automated Telugu Printed and Handwritten Character Recognition in Single Image using Aquila Optimizer based Deep Learning Model

Author 1: Vijaya Krishna Sonthi Author 2: S. Nagarajan Author 3: N. Krishnaraj

Machine printed or handwritten character recognition becomes a major research topic in several real time applications. The recent advancements of deep learning and image processing techniques can be employed for printed and handwritten character recognition. Telugu character Recognition (TCR) remains a difficult task in optical character recognition (OCR), which transforms… Read full abstract & cite →

Optical character recognition Telugu deep learning Aquila optimizer BiLSTM handwritten characters printed characters

Abstract doi.org/10.14569/IJACSA.2021.0121275 PDF

76

Industrial Revolution 5.0 and the Role of Cutting Edge Technologies

Author 1: Mamoona Humayun

IR 4.0 emphasizes the interconnection of machines and systems to achieve optimal performance and productivity gains. IR 5.0 is said to take it a step further by fine-tuning the human-machine connection. IR 5.0 is more collaboration between the two: automated technology's ultra-fast accuracy combines with a human's intelligence and creativity… Read full abstract & cite →

Industry 5.0 cutting-edge technologies Internet of Things Aartificial intelligence big data

Abstract doi.org/10.14569/IJACSA.2021.0121276 PDF

77

Detecting Distributed Denial of Service Attacks using Machine Learning Models

Author 1: Ebtihal Sameer Alghoson Author 2: Onytra Abbass

The Software Defined Networking (SDN) is a vital technology which includes decoupling the control and data planes in the network. The advantages of the separation of the control and data planes including: a dynamic, manageable, flexible, and powerful platform. In addition, a centralized network platform offers situations that challenge security… Read full abstract & cite →

Cybersecurity distributed denial of service (DDoS) machine learning (ML) Canadian institute cybersecurity - distributed denial of service (CICDDoS2019) dataset

Abstract doi.org/10.14569/IJACSA.2021.0121277 PDF

78

A Patient Care Predictive Model using Logistic Regression

Author 1: Harkesh J. Patel Author 2: Jatinderkumar R. Saini

Medical treatments and operations in hospitals are divided into in-patient and out-patient procedures. It is critical for patients to know and understand the differentiation between these two forms of treatment since it will affect the time of a patient's stay in a hospital or a medical institution as well as… Read full abstract & cite →

Health-care inpatient care logistic regression machine learning model outpatient care stacking classifier

Abstract doi.org/10.14569/IJACSA.2021.0121278 PDF

79

Vision based 3D Gesture Tracking using Augmented Reality and Virtual Reality for Improved Learning Applications

Author 1: Zainal Rasyid Mahayuddin Author 2: A F M Saifuddin Saif

3D gesture recognition and tracking based augmented reality and virtual reality have become a big interest of research because of advanced technology in smartphones. By interacting with 3D objects in augmented reality and virtual reality, users get better understanding of the subject matter where there have been requirements of customized… Read full abstract & cite →

Augmented reality virtual reality 3D gesture tracking

Abstract doi.org/10.14569/IJACSA.2021.0121279 PDF

80

A Framework for Secure Healthcare Data Management using Blockchain Technology

Author 1: Ahmed I. Taloba Author 2: Alanazi Rayan Author 3: Ahmed Elhadad Author 4: Amr Abozeid Author 5: Osama R. Shahin Author 6: Rasha M. Abd El-Aziz

In the current era of smart cities and smart homes, the patient’s data like name, personal details and disease description are highly insecure and violated most often. These details are stored digitally in a network called Electronic Health Record (EHR). The EHR can be useful for future medical researches to… Read full abstract & cite →

Blockchain electronic health record (EHR) storage security accessibility cryptography decentralization

Abstract doi.org/10.14569/IJACSA.2021.0121280 PDF

81

Usability Evaluation of Web Search User Interfaces from the Elderly Perspective

Author 1: Khalid Krayz Allah Author 2: Nor Azman Ismail Author 3: Layla Hasan Author 4: Wong Yee Leng

The elderly population is increasing in many countries, often with health and incapacity challenges, largely disengaged them from the world of digital tools like Internet usage. They browse the Internet daily for obtaining needed information through various search engines through the search UI. Earlier technologies were fabricated for improving daily… Read full abstract & cite →

Usability Google interface Bing interface SUS questionnaire web search user interfaces observation method

Abstract doi.org/10.14569/IJACSA.2021.0121281 PDF

82

A Novel Framework for Cloud based Virtual Machine Security by Change Management using Machine

Author 1: S. Radharani Author 2: V. B. Narasimha

The increased growth in the cloud-based application development and hosting, the demand for higher application and data security is also increasing. The cloud-based applications are hosted on virtual machines and the data generated or used by these applications are also hosted inside the virtual machines. Hence, the security of the… Read full abstract & cite →

DevOps deep clustering VM security cloud security VM versioning progression cryptography

Abstract doi.org/10.14569/IJACSA.2021.0121282 PDF

83

Comparison of Convolutional Neural Network Architectures for Face Mask Detection

Author 1: Siti Nadia Yahya Author 2: Aizat Faiz Ramli Author 3: Muhammad Noor Nordin Author 4: Hafiz Basarudin Author 5: Mohd Azlan Abu

In 2020 World Health Organization (WHO) has declared that the Coronaviruses (COVID-19) pandemic is causing a worldwide health disaster. One of the most effective protections for reducing the spread of COVID-19 is by wearing a face mask in densely and close populated areas. In various countries, it has become mandatory… Read full abstract & cite →

Convolution neural network deep learning transfer learning computer vision facemask detection COVID-19

Abstract doi.org/10.14569/IJACSA.2021.0121283 PDF

84

Encoding LED for Unique Markers on Object Recognition System

Author 1: Wildan Pandji Tresna Author 2: Umar Ali Ahmad Author 3: Isnaeni Author 4: Reza Rendian Septiawan Author 5: Iyon Titok Sugiarto Author 6: Alex Lukmanto Suherman

In this paper a new approach of unique markers to detect and track moving objects with the encoding LED marker is presented. In addition, an LED spotlight system that can shoot light in the direction of the target is also proposed. The encoding process is done by making a unique… Read full abstract & cite →

Encoding LED PWM signal target markers object recognition system

Abstract doi.org/10.14569/IJACSA.2021.0121284 PDF

85

Inherent Feature Extraction and Soft Margin Decision Boundary Optimization Technique for Hyperspectral Crop Classification

Author 1: M. C. Girish Babu Author 2: Padma M. C

Crop productivity and disaster management can be enhanced by employing hyperspectral images. Hyperspectral imaging is widely utilized in identifying and classifying objects on the ground surface for various agriculture application uses such as crop mapping, flood management, identifying crops damaged due to flood/drought, etc. Hyperspectral imaging-based crop classification is a… Read full abstract & cite →

Crop classification decision boundary deep learning dimensionality feature selection hyperspectral image support vector machines

Abstract doi.org/10.14569/IJACSA.2021.0121285 PDF

86

Arabic Sentiment Analysis for Multi-dialect Text using Machine Learning Techniques

Author 1: Aya H. Hussein Author 2: Ibrahim F. Moawad Author 3: Rasha M. Badry

Social media networks facilitated the availability and accessibility of a wide range of information and data. It allows the users to share and express their opinions. In addition, it presents the appraisals of the top news and the evaluation of movies, products, and services. This headway has been controlled by… Read full abstract & cite →

Arabic sentiment analysis (ASA) arabic tweets sentiment analysis (SA) natural language processing (NLP) machine learning (ML)

Abstract doi.org/10.14569/IJACSA.2021.0121286 PDF

87

A Systematic Review on e-Wastage Frameworks

Author 1: Sultan Ahmad Author 2: Sudan Jha Author 3: Abubaker E. M. Eljialy Author 4: Shakir Khan

The electronic devices that are targeted to the end users have become day to day essential parts. Traditional methodologies have changed drastically resulting in efficient mode of communication and fast information retrieval. As the demand and the production are exponentially growing, patterns of sales, storage and their destruction and then… Read full abstract & cite →

e-Wastage e-Wastage management barriers policy findings e-Wastage regulations industrializing countries industrialized countries

Abstract doi.org/10.14569/IJACSA.2021.0121287 PDF

88

SCADA and Distributed Control System of a Chemical Products Dispatch Process

Author 1: Omar Chamorro-Atalaya Author 2: Dora Arce-Santillan Author 3: Guillermo Morales-Romero Author 4: Nicéforo Trinidad-Loli Author 5: Adrián Quispe-Andía Author 6: César León-Velarde

The objective of this article is to show the application of a supervision, control and acquisition system of an industrial network of chemical products, for which the design of the control logic and the architecture of the industrial network on Profibus-DP protocols is described and Ethernet, with a peripheral terminal… Read full abstract & cite →

Distributed control supervision acquisition chemical products dispatch of chemical supplies

Abstract doi.org/10.14569/IJACSA.2021.0121288 PDF

89

Supervised Learning through Classification Learner Techniques for the Predictive System of Personal and Social Attitudes of Engineering Students

Author 1: Omar Chamorro-Atalaya Author 2: Soledad Olivares-Zegarra Author 3: Alejandro Paredes-Soria Author 4: Oscar Samanamud-Loyola Author 5: Marco Anton-De los Santos Author 6: Juan Anton-De los Santos Author 7: Maritte Fierro-Bravo Author 8: Victor Villanueva-Acosta

In this competitive scenario of the educational system, higher education institutions use intelligent learning tools and techniques to predict the factors of student academic performance. Given this, the article aims to determine the supervised learning model for the predictive system of personal and social attitudes of university students of professional… Read full abstract & cite →

Supervised learning classification learner predictive system personal and social attitudes engineering students

Abstract doi.org/10.14569/IJACSA.2021.0121289 PDF

90

Workflow Scheduling and Offloading for Service-based Applications in Hybrid Fog-Cloud Computing

Author 1: Saleh M. Altowaijri

Fog and edge computing has emerged as an important paradigm to address many challenges related to time-sensitive and real-time applications, high network loads, user privacy, security, and others. While these developments offer huge potential, many efforts are needed to study and design applications and systems for these emerging computing paradigms… Read full abstract & cite →

Workflow scheduling workflow offloading cloud computing fog computing edge computing scientific workflows

Abstract doi.org/10.14569/IJACSA.2021.0121290 PDF

91

Advanced Machine Learning Algorithms for House Price Prediction: Case Study in Kuala Lumpur

Author 1: Shuzlina Abdul-Rahman Author 2: Nor Hamizah Zulkifley Author 3: Ismail Ibrahim Author 4: Sofianita Mutalib

House price is affected significantly by several factors and determining a reasonable house price involves a calculative process. This paper proposes advanced machine learning (ML) approaches for house price prediction. Two recent advanced ML algorithms, namely LightGBM and XGBoost were compared with two traditional approaches: multiple regression analysis and ridge… Read full abstract & cite →

House price house price prediction machine learning property regression analysis

Abstract doi.org/10.14569/IJACSA.2021.0121291 PDF

92

Prediction of Tourist Visit in Taman Negara Pahang, Malaysia using Regression Models

Author 1: Sofianita Mutalib Author 2: Athila Hasya Razali Author 3: Siti Nur Kamaliah Kamarudin Author 4: Shamimi A Halim Author 5: Shuzlina Abdul-Rahman

Tourism is among the significant source of income to Malaysia and Taman Negara Pahang is one of the Malaysia's tourism spots and the heritage of Malaysia in achieving the Sustainable Development Goals (SDG). It has attracted many international and local tourists for its richness in flora and fauna. Currently, the… Read full abstract & cite →

Regression models SDG Taman Negara Pahang tourist analytics

Abstract doi.org/10.14569/IJACSA.2021.0121292 PDF

93

Non-functional Requirements (NFR) Identification Method using FR Characters based on ISO/IEC 25023

Author 1: Nurbojatmiko Author 2: Eko K. Budiardjo Author 3: Wahyu C. Wibowo

The researches show that software quality depends on Functional Requirements (FR) and Non-Functional Requirements (NFR). The developers identify NFR attributes by interviewing stakeholders. The difficulty in identifying NFR attributes makes quality requirements often ignored. The basic concept of software quality measurements is the quality measuring of the software product. During… Read full abstract & cite →

Non functional requirements FR character ISO/IEC 25023 NFR identification

Abstract doi.org/10.14569/IJACSA.2021.0121293 PDF

94

Blockchain-oriented Inter-organizational Collaboration between Healthcare Providers to Handle the COVID-19 Process

Author 1: Ilyass El Kassmi Author 2: Zahi Jarir

Collaborative business activities have aroused great interest from organizations because of the benefits they offer. However, sharing data, services, and resources and exposing them to external use can prevent organizations involved in collaboration from being engaged. Therefore, the need for advanced mechanisms to ensure trust between the different parties involved… Read full abstract & cite →

Blockchain inter-organizational collaboration choreography permissioned blockchain business process management COVID-19

Abstract doi.org/10.14569/IJACSA.2021.0121294 PDF

95

A Language Tutoring Tool based on AI and Paraphrase Detection

Author 1: Anas Basalamah

A language tutoring tool (LTT) helps learning a language through casual human-like conversations. Natural language understanding (NLU) and natural language generation (NLG) are two key components of an LTT. In this paper, we propose a paraphrase detection algorithm that is used as the building block of the NLU. Our proposed… Read full abstract & cite →

LTT NLG NLU paraphrase detection LSTM

Abstract doi.org/10.14569/IJACSA.2021.0121295 PDF

96

Secured 6-Digit OTP Generation using B-Exponential Chaotic Map

Author 1: Rasika Naik Author 2: Udayprakash Singh

Today, the traditional username and password sys-tems are becoming less popular on the internet due to their vulnerabilities. These systems are prone to replay attacks and eavesdropping. During the Coronavirus pandemic, most of the important transactions take place online. Hence we require a more secure method like one-time password generation… Read full abstract & cite →

One-time password generation B-exponential chaotic map 6-digit one-time password online transactions se-curity

Abstract doi.org/10.14569/IJACSA.2021.0121296 PDF

97

Mobile Application Aimed at Older Adults to Increase Cognitive Capacity

Author 1: Ricardo Leon-Ayala Author 2: Gerald G´omez-Cortez Author 3: Laberiano Andrade-Arenas

The research work focuses on people with dementia of the Alzheimer’s type, since, among the types of dementia, this is the most common worldwide. In Peru, more than 200 thousand adults over 60 years of age suffer from this disease and many others who still do not know it or… Read full abstract & cite →

Alzheimer’s balsamiq mobile prototype scrum

Abstract doi.org/10.14569/IJACSA.2021.0121297 PDF

98

Implementation of an Expert System for Automated Symptom Consultation in Peru

Author 1: Gilson Vasquez Torres Author 2: Luis Lunarejo Aponte Author 3: Laberiano Andrade-Arenas

The human being has a fragile life, and is attacked by different diseases throughout his life, neglecting or ignoring some of them because it is considered minimal, can be fatal, but many do not want to attend a health center, so they seek your symptoms on the Internet and finding… Read full abstract & cite →

Automated query buchanan expert system prolog symptoms

Abstract doi.org/10.14569/IJACSA.2021.0121298 PDF

99

Implementation of a Web System to Detect Anemia in Children of Peru

Author 1: Ricardo Leon Ayala Author 2: Noe Vicente Rosas Author 3: Laberiano Andrade-Arenas

Now-a-days, anemia is considered a worldwide problem that not only seriously affects our health, but also has economic and social consequences. Therefore, seeks to provide a solution to the problem to detect anemia with a non-invasive method quickly, simple and low-cost way. In this research work, a web system was… Read full abstract & cite →

Anemia diagnosis health scrum web system

Abstract doi.org/10.14569/IJACSA.2021.0121299 PDF

100

Relationship between Stress and Academic Performance: An Analysis in Virtual Mode

Author 1: Janet Corzo Zavaleta Author 2: Roberto Yon Alva Author 3: Samuel Vargas Vargas Author 4: Eleazar Flores Medina Author 5: Yrma Principe Somoza Author 6: Laberiano Andrade-Arenas

This research work analyzes the relationship be-tween stress and academic performance of engineering students at the University of Sciences and Humanities, in Peru, in the context of the pandemic. During this period, classes at the university were held virtually; and the difficulties that students present to carry out their classes… Read full abstract & cite →

Academic performance anxiety stress teaching-learning virtual mode

Abstract doi.org/10.14569/IJACSA.2021.01212100 PDF

101

Implementation of a Web System to Improve the Evaluation System of an Institute in Lima

Author 1: Franco Manrique jaime Author 2: Laberiano Andrade-Arenas

In Peru and the world, millions of students saw their education interrupted caused by the problems brought by the COVID-19 virus, due to this many educational entities began to adopt learning platforms and web systems so that the teaching process is not affected, having to comply with all the guidelines… Read full abstract & cite →

COVID-19 evaluation learning platform scrum web system

Abstract doi.org/10.14569/IJACSA.2021.01212101 PDF

102

Design of an Anti-theft Alarm System for Vehicles using IoT

Author 1: Jorge Arellano-Zubiate Author 2: Jheyson Izquierdo-Calongos Author 3: Laberiano Andrade-Arenas

Automobiles have become one of the most sought-after targets for criminals due to their worldwide popularity. Crime is reflected in the statistics, which show that over the years, the crime rate of vehicle theft has been on the rise. As part of the fight against this crime, the vehicles come… Read full abstract & cite →

Global mobile communications system global posi-tioning system internet of things radio frequency identification scrum

Abstract doi.org/10.14569/IJACSA.2021.01212102 PDF

103

Framework and Method for Measurement of Particulate Matter Concentration using Low Cost Sensors

Author 1: Shree Vidya Gurudath Author 2: Krishna Raj P M Author 3: Srinivasa K G

Rapid urbanisation and infrastructure shortcom-ings leading to heavy traffic, heavy construction activities are ma-jor contributors to emission of particulate matter into the ambient atmosphere. This is especially true in developing countries, such as India and China. There have been numerous attempts from government authorities and civic agencies to curtail pollution… Read full abstract & cite →

Air pollution low cost sensor optical dust sensors particulate matter MQTT ponte

Abstract doi.org/10.14569/IJACSA.2021.01212103 PDF

104

Sustainable Android Malware Detection Scheme using Deep Learning Algorithm

Author 1: Abdulaziz Alzubaidi

The immense popularity of smartphones has led to the constant use of these devices for productive and entertainment purposes in daily life. Among the different operating systems, the Android system plays a very important role in the development of mobile technology as it is the most popular operating system. This… Read full abstract & cite →

Smartphone security machine learning mobile malware classification big data

Abstract doi.org/10.14569/IJACSA.2021.01212104 PDF

105

Solving the Steel Continuous Casting Problem using an Artificial Intelligence Model

Author 1: Achraf BERRAJAA

Over the past decade, the steel continuous casting problem has revolutionized in important and remarkable ways. In this paper, we consider a multiple parallel device for the steel continuous casting problem (SCC) known as one of the hardest scheduling problem. The SCC problem is an important NP-hard combinatorial optimization problem… Read full abstract & cite →

Artificial intelligence SCC Program RNN LSTM big data

Abstract doi.org/10.14569/IJACSA.2021.01212105 PDF

106

Predicting Stock Closing Prices in Emerging Markets with Transformer Neural Networks: The Saudi Stock Exchange Case

Author 1: Nadeem Malibari Author 2: Iyad Katib Author 3: Rashid Mehmood

Deep learning has transformed many fields includ-ing computer vision, self-driving cars, product recommendations, behaviour analysis, natural language processing (NLP), and medicine, to name a few. The financial sector is no surprise where the use of deep learning has produced one of the most lucrative applications. This research proposes a novel… Read full abstract & cite →

Stock price prediction time-series forecasting transformer deep neural networks Saudi Stock Exchange (Tadawul) financial markets

Abstract doi.org/10.14569/IJACSA.2021.01212106 PDF

107

Real Time Multi-Object Tracking based on Faster RCNN and Improved Deep Appearance Metric

Author 1: Mohan Gowda V Author 2: Megha P Arakeri

Computer Vision has set a new trend in image resolution, object detection, object tracking, and more by incor-porating advanced techniques from Artificial Intelligence (AI). Object detection and tracking have many use cases such as driverless cars, security systems, patient monitoring, and so on. Various methods have been proposed to overcome… Read full abstract & cite →

Multi-object detection tracking faster RCNN con-volution neural network data association

Abstract doi.org/10.14569/IJACSA.2021.01212107 PDF

108

OBEInsights: Visual Analytics Design for Predictive OBE Knowledge Generation

Author 1: Leona Donna Lumius Author 2: Mohammad Fadhli Asli

Gaining traction in modern higher education, outcome-based education (OBE) focuses on strategizing peda-gogical approaches to help the student achieve specified learning outcomes. In the context of Malaysia, OBE is oriented towards holistic development of graduates to ensure readiness towards the working sector. To empower OBE implementation, standardized measuring instrument iCGPA… Read full abstract & cite →

Visual analytics visualization learning analytics outcome-based education (OBE)

Abstract doi.org/10.14569/IJACSA.2021.01212108 PDF

109

Modelling and Simulating Exit Selection during Assisted Hospital Evacuation Process using Fuzzy Logic and Unity3D

Author 1: Intiaz Mohammad Abir Author 2: Ali Ahmed Ali Moustafa Allam Author 3: Azhar Mohd Ibrahim

Evacuation procedures are an integral aspect of the emergency response strategy of a hospital. Evacuation simulation models help to properly evaluate and improve evacuation strate-gies. However, the issue of exit selection during evacuation is often overlooked and oversimplified in the evacuation simulation models. Moreover, most of the available evacuation simulation… Read full abstract & cite →

Evacuation simulation exit selection fuzzy logic unity3D

Abstract doi.org/10.14569/IJACSA.2021.01212109 PDF

110

Lattice-based Group Enlargement for a Robot Swarm based on Crystal Growth Models

Author 1: Kohei Yamagishi Author 2: Tsuyoshi Suzuki

Swarm robotic systems control multiple robots in a coordinated manner for using this flexible coordination to solve complex tasks in various environments. Such systems can utilize the individual capabilities of robots scattered within the swarm as well as the collective capabilities of the assembled robots. By coordinating these capabilities, swarms… Read full abstract & cite →

Multi-robot systems self-organization distributed control crystal growth

Abstract doi.org/10.14569/IJACSA.2021.01212110 PDF

111

Secure and Efficient Proof of Ownership Scheme for Client-Side Deduplication in Cloud Environments

Author 1: Amer Al-Amer Author 2: Osama Ouda

Data deduplication is an effective mechanism that reduces the required storage space of cloud storage servers by avoiding storing several copies of the same data. In contrast with server-side deduplication, client-side deduplication can not only save storage space but also reduce network bandwidth. Client-side deduplication schemes, however, might suffer from… Read full abstract & cite →

Client-side deduplication proof of ownership con-vergent encryption could storage services

Abstract doi.org/10.14569/IJACSA.2021.01212111 PDF

112

A Secure Fog-cloud Architecture using Attribute-based Encryption for the Medical Internet of Things (MIoT)

Author 1: Suhair Alshehri Author 2: Tahani Almehmadi

The medical internet of things (MIoT) has affected radical transformations in people’s lives by offering innovative solutions to health-related issues. It enables healthcare pro-fessionals to continually monitor various medical concerns in their patients, without requiring visits to hospitals or healthcare professionals’ offices. The various MIoT systems and applications promote healthcare… Read full abstract & cite →

MIoT fog computing cloud computing ciphertext-policy attribute-based encryption security

Abstract doi.org/10.14569/IJACSA.2021.01212112 PDF

113

Efficient Weighted Edit Distance and N-gram Language Models to Improve Spelling Correction of Segmentation Errors

Author 1: Hicham GUEDDAH

In most research that has dealt with the correction of spelling errors, the errors are caused by the misuse of space (deletion or insertion of space) are not tackled. Forgetting to deal with this type of errors in the texts poses a problem of understanding and ambiguity of the meaning… Read full abstract & cite →

Spelling correction error natural language inser-tion space distance language models probability

Abstract doi.org/10.14569/IJACSA.2021.01212113 PDF

114

New SARIMA Approach Model to Forecast COVID-19 Propagation: Case of Morocco

Author 1: Ibtissam CHOUJA Author 2: Sahar SAOUD Author 3: Mohamed SADIK

The aim of this paper is to avoid any future health crises by analysing COVID-19 data of Morocco using Time Series to get more information about how the pandemic is spreading. For this reason, we used a statistical model called Seasonal Autoregressive Integrated Moving Average (SARIMA) to forecast the new… Read full abstract & cite →

COVID-19 machine learning seasonal autoregres-sive integrated moving average SARIMA statistical modeling time series forecasting

Abstract doi.org/10.14569/IJACSA.2021.01212114 PDF

115

Text to Image GANs with RoBERTa and Fine-grained Attention Networks

Author 1: Siddharth M Author 2: R Aarthi

Synthesizing new images from textual descriptions requires understanding the context of the text. It is a very chal-lenging problem in Natural Language Processing and Computer vision. Existing systems use Generative Adversarial Network (GAN) to generate images using a simple text encoder from their captions. This paper consist synthesizing images from… Read full abstract & cite →

Natural language processing computer vision GANs AttnGAN RoBERTa

Abstract doi.org/10.14569/IJACSA.2021.01212115 PDF

116

Performance Evaluation of BDAG Aided Blockchain Technology in Clustered Mobile Ad-Hoc Network for Secure Data Transmission

Author 1: B. Harikrishnan Author 2: T. Balasubaramanian

In mobile ad-hoc network (MANET) environment, routing of data packets is a challenging task due to rapid changes in mobility and network topology. In addition, the security aspect of routing is disturbed by attacks caused by malicious nodes. These attacks greatly affect the Quality of Service. To overcome the challenges… Read full abstract & cite →

Mobile ad-hoc network node authentication BLISS algorithm blockchain Bayesian direct acyclic graph

Abstract doi.org/10.14569/IJACSA.2021.01212116 PDF