IJACSA Vol. 12 Issue 6 (2021)

1

Real-Time Driver’s Focus of Attention Extraction and Prediction using Deep Learning

Author 1: Pei-heng Hong Author 2: Yuehua Wang

Driving is one of the most common activities in our modern lives. Every day, millions drive to and from their schools or workplaces. Even though this activity seems simple and everyone knows how to drive on roads, it actually requires drivers’ complete attention to keep their eyes on the road… Read full abstract & cite →

Driving attention interesting zones deep neural network deep learning models

Abstract doi.org/10.14569/IJACSA.2021.0120601 PDF

2

Predicting Strength Ratio of Laminated Composite Material with Evolutionary Artificial Neural Network

Author 1: Huiyao Zhang Author 2: Atsushi Yokoyama

In this paper, an alternative methodology to obtain the strength ratio for the laminated composite material is pre-sented. Traditionally, classical lamination theory and related fail-ure criteria are used to calculate the numerical value of strength ratio of laminated composite material under in-plane and out-of-plane loading from a knowledge of the… Read full abstract & cite →

Classical lamination theory genetic algorithm ar-tificial neural network optimization

Abstract doi.org/10.14569/IJACSA.2021.0120602 PDF

3

UIP2SOP: A Unique IoT Network applying Single Sign-On and Message Queue Protocol

Author 1: Lam Nguyen Tran Thanh Author 2: Nguyen Ngoc Phien Author 3: The Anh Nguyen Author 4: Hong Khanh Vo Author 5: Hoang Huong Luong Author 6: Tuan Dao Anh Author 7: Khoi Nguyen Huynh Tuan Author 8: Ha Xuan Son

Internet of Things (IoT), currently, plays an importance role in our life, also, this is one of the most rapidly developing technology trends. However, the present structure has some limitation - one of these is the communication via client-server model - the users, devices, and applications using IoT services where… Read full abstract & cite →

Internet of Things (IoT) MQTT OAuth Single Sign-On Kafka message queue

Abstract doi.org/10.14569/IJACSA.2021.0120603 PDF

4

A Hybrid Encryption Solution to Improve Cloud Computing Security using Symmetric and Asymmetric Cryptography Algorithms

Author 1: Hossein Abroshan

Ensuring the security of cloud computing is one of the most critical challenges facing the cloud services sector. Dealing with data in a cloud environment, which uses shared resources, and providing reliable and secure cloud services, requires a robust encryption solution with no or low negative impact on performance. Thus… Read full abstract & cite →

Cloud computing security cryptography digital signature

Abstract doi.org/10.14569/IJACSA.2021.0120604 PDF

5

Evil Twin Attack Mitigation Techniques in 802.11 Networks

Author 1: Raja Muthalagu Author 2: Sachin Sanjay

Evil Twin Wi-Fi attack is an attack on the 802.11 IEEE standard. The attack poses a threat to wireless connections. Evil Twin Wi-Fi attack is one of the attacks which has been there for a long time. Once the Evil Twin Wi-Fi attack is performed this acts as a gateway… Read full abstract & cite →

Evil twin Wi-Fi attack DNS spoofing SSL strip IP spoofing

Abstract doi.org/10.14569/IJACSA.2021.0120605 PDF

6

Solving Reactive Power Scheduling Problem using Multi-objective Crow Search Algorithm

Author 1: Surender Reddy Salkuti

This paper presents the solution of multi-objective based optimal reactive power dispatch (MO-ORPD) problem by optimizing the system power losses and voltage stability enhancement index (VSEI)/L-index objectives. ORPD problem is considered as an important issue from system security and operational point of view for optimal steady-state operation of power system… Read full abstract & cite →

Optimal power flow crow search algorithm evolutionary algorithms loss minimization reactive power scheduling multi-objective optimization

Abstract doi.org/10.14569/IJACSA.2021.0120606 PDF

7

Controlling a Wheelchair using a Brain Computer Interface based on User Controlled Eye Blinks

Author 1: Sebastián Poveda Zavala Author 2: Sang Guun Yoo Author 3: David Edmigio Valdivieso Tituana

Data published by different organizations such as the United Nations indicates that there are a large number of people who suffer from different types of movement disabilities. In many cases, the disability is so severe that they cannot have any kind of movements. Faced with this situation, Brain Computer Interface… Read full abstract & cite →

BCI EEG brain computer interface OpenBCI eye blink detection

Abstract doi.org/10.14569/IJACSA.2021.0120607 PDF

8

IoT based Smart Water Quality Prediction for Biofloc Aquaculture

Author 1: Md. Mamunur Rashid Author 2: Al-Akhir Nayan Author 3: Sabrina Afrin Simi Author 4: Joyeta Saha Author 5: Md. Obaidur Rahman Author 6: Muhammad Golam Kibria

Traditional fish farming faces several challenges, including water pollution, temperature imbalance, feed, space, cost, etc. Biofloc technology in aquaculture transforms the manual into an advanced system that allows the reuse of unused feed by converting them into microbial protein. The objective of the research is to propose an IoT-based solution… Read full abstract & cite →

Smart aquaculture system biofloc technology machine learning life below water

Abstract doi.org/10.14569/IJACSA.2021.0120608 PDF

9

A Novel High-order Linguistic Time Series Forecasting Model with the Growth of Declared Word-set

Author 1: Nguyen Duy Hieu Author 2: Pham Dinh Phong

The existing researches have shown that the fuzzy forecasting methods based on the high-order fuzzy time series are better than the fuzzy forecasting methods based on the first-order fuzzy time series. The linguistic forecasting method based on the first-order linguistic time series which can handle directly the word-set of the… Read full abstract & cite →

Linguistic time series high-order linguistic time series linguistic logical relationship hedge algebras time series forecasting

Abstract doi.org/10.14569/IJACSA.2021.0120609 PDF

10

Opinion Mining of Saudi Responses to COVID-19 Vaccines on Twitter

Author 1: Fahad M. Alliheibi Author 2: Abdulfattah Omar Author 3: Nasser Al-Horais

In recent months, many governments have announced COVID-19 vaccination programs and plans to help end the crises the world has been facing since the emergence of the coronavirus pandemic. In Saudi Arabia, the Ministry of Health called for citizens and residents to take up the vaccine as an essential step… Read full abstract & cite →

Computational linguistics COVID-19 vaccines lexical semantics opinion mining vector space classification

Abstract doi.org/10.14569/IJACSA.2021.0120610 PDF

11

Indoor Localization and Navigation based on Deep Learning using a Monocular Visual System

Author 1: Rodrigo Eduardo Arevalo Ancona Author 2: Leonel Germán Corona Ramírez Author 3: Oscar Octavio Gutiérrez Frías

Now-a-days, computer systems are important for artificial vision systems to analyze the acquired data to realize crucial tasks, such as localization and navigation. For successful navigation, the robot must interpret the acquired data and determine its position to decide how to move through the environment. This paper proposes an indoor… Read full abstract & cite →

Visual localization visual navigation autonomous navigation feature extractor object detection

Abstract doi.org/10.14569/IJACSA.2021.0120611 PDF

12

Firm Performance Prediction for Macroeconomic Diffusion Index using Machine Learning

Author 1: Cu Nguyen Giap Author 2: Dao The Son Author 3: Dinh Thi Ha Author 4: Vu Quang Huy Author 5: Do Thi Thu Hien Author 6: Le Mai Trang

Utilizing firm performance in the prediction of macroeconomic conditions is an interesting research trend with increasing momentum that supports to build nowcasting and early warning systems for macroeconomic management. Firm-level data is normally high volume, with which the traditional statistics-based prediction models are inefficient. This study, therefore, attempts to assess… Read full abstract & cite →

Firm performance prediction machine learning algorithms diffusion index

Abstract doi.org/10.14569/IJACSA.2021.0120612 PDF

13

A Review on SDR, Spectrum Sensing, and CR-based IoT in Cognitive Radio Networks

Author 1: Nadia Kassri Author 2: Abdeslam Ennouaary Author 3: Slimane Bah Author 4: Hajar Baghdadi

The inherent scarcity of frequency spectrum, along with the fixed spectrum allocation adopted policy, has led to a dire shortage of this indispensable resource. Furthermore, with the tremendous growth of wireless applications, this problem is intensified as the unlicensed frequency spectrum becomes overcrowded and unable to meet the requirement of… Read full abstract & cite →

Cognitive radio cognitive radio networks software defined radio spectrum sensing machine learning CR-based IoT

Abstract doi.org/10.14569/IJACSA.2021.0120613 PDF

14

Artificial Intelligence based Recommendation System for Analyzing Social Bussiness Reviews

Author 1: Asma Alanazi Author 2: Marwan Alseid

Recently, analysing reviews presented by clients to products that are provided by e-commerce companies, such as Amazon, to produce efficient recommendations has been receiving a lot of attention. However, ensuring and generating effective recommendations on time is a challenge. This research paper proposes an artificial intelligence-based system. The proposed system… Read full abstract & cite →

ILbM reviews classifier text analysing training bagging MapReduce big data

Abstract doi.org/10.14569/IJACSA.2021.0120614 PDF

15

Comprehensive Analysis for Sensor-Based Hydraulic System Condition Monitoring

Author 1: Ahmed Alenany Author 2: Ahmed M. Helmi Author 3: Basheer M. Nasef

Condition monitoring of equipment can be very effective in predicting faults and taking early corrective actions. As hydraulic systems constitute the core of most industrial plants, predictive maintenance of such systems is of vital importance. Due to the availability of huge data collected from industrial plants, machine learning can be… Read full abstract & cite →

Condition monitoring sensory data analysis machine learning classification

Abstract doi.org/10.14569/IJACSA.2021.0120615 PDF

16

A New Communication Protocol for Drones Cooperative Network: 5G Site Survey Case Study

Author 1: Youssef Shawky Othman Author 2: Mohamed Helmy Megahed Author 3: Mohamed Abo Rezka Author 4: Fathy Ahmed Elsayed Amer

Directing the antennas of the 5th generation mobile network optimally became a hard and tedious process due to the abundance of the antennas that the 5th generation networks relay on. Also, due to the traditional way of measuring the signal strength of the 5th generation networks. The process that could… Read full abstract & cite →

Drones communication protocol Message Queuing Telemetry Transport (MQTT) cooperative network

Abstract doi.org/10.14569/IJACSA.2021.0120616 PDF

17

Real Time Face Expression Recognition along with Balanced FER2013 Dataset using CycleGAN

Author 1: Fatma Mazen Ali Mazen Author 2: Ahmed Aly Nashat Author 3: Rania Ahmed Abdel Azeem Abul Seoud

Human face expression recognition is an active research area that has massive applications in medical field, crime investigation, marketing, online learning, automobile safety and video games. The first part of this research defines a deep neural network model-based framework for recognizing the seven main types of facial expression, which are… Read full abstract & cite →

Facial expressions detection and recognition multi-task cascaded convolutional networks transfer learning residual neural network CycleGAN FER2013 GPU and CUDA HAAR

Abstract doi.org/10.14569/IJACSA.2021.0120617 PDF

18

A Deep Learning Approach Combining CNN and Bi-LSTM with SVM Classifier for Arabic Sentiment Analysis

Author 1: Omar Alharbi

Deep learning models have recently been proven to be successful in various natural language processing tasks, including sentiment analysis. Conventionally, a deep learning model’s architecture includes a feature extraction layer followed by a fully connected layer used to train the model parameters and classification task. In this paper, we employ… Read full abstract & cite →

Sentiment analysis Arabic sentiment analysis deep learning approach convolutional neural network CNN bidirectional long short-term memory Bi-LSTM support vector machine SVM

Abstract doi.org/10.14569/IJACSA.2021.0120618 PDF

19

Emotional Intelligence Robotics to Motivate Interaction in E-Learning: An Algorithm

Author 1: Dalia khairy Author 2: Salem Alkhalaf Author 3: M. F. Areed Author 4: Mohamed A. Amasha Author 5: Rania A. Abougalala

The development of emotional intelligence robotics in the learning environment plays valuable support for social interaction among students. Emotional intelligence robots should be scalable to recognize emotions, appear empathetic in learning situations, and enrich the confidence with students for active interaction. This paper presents some related issues about integrating emotional… Read full abstract & cite →

Robotics emotional intelligence interaction E-learning motivation robot with emotional intelligence machine learning algorithms face analysis speech recognition

Abstract doi.org/10.14569/IJACSA.2021.0120619 PDF

20

Building Research Productivity Framework in Higher Education Institution

Author 1: Ahmad Sanmorino Author 2: Ermatita Author 3: Samsuryadi Author 4: Dian Palupi Rini

The purpose of this study is to build a framework for improving research productivity in higher education institutions. The research begins by collecting data and defining candidate variables. The next process is to determine the selected variable from the candidate variable. Variable selection is carried out in three stages, univariate… Read full abstract & cite →

Framework research productivity variable selection data mining classifier

Abstract doi.org/10.14569/IJACSA.2021.0120620 PDF

21

Method for Determination of Support Length of Daubechies Basis Function for Wavelet MRA based Moving Characteristic Estimation

Author 1: Kohei Arai

Method for determination of support length of Daubechies basis function for wavelet Multi Resolution Analysis: MRA based moving characteristic estimation is proposed. The method based on root mean square difference between original and reconstructed image from just a low frequency component from MRA. Also, one of applications of the method… Read full abstract & cite →

Multi-dimensional wavelet transformation multi resolution analysis: MRA moving target detection support length typhoon movement boundary detection and tracking

Abstract doi.org/10.14569/IJACSA.2021.0120621 PDF

22

DeepfakeNet, an Efficient Deepfake Detection Method

Author 1: Dafeng Gong Author 2: Yogan Jaya Kumar Author 3: Ong Sing Goh Author 4: Zi Ye Author 5: Wanle Chi

Different CNNs models do not perform well in deepfake detection in cross datasets. This paper proposes a deepfake detection model called DeepfakeNet, which consists of 20 network layers. It refers to the stacking idea of ResNet and the split-transform-merge idea of Inception to design the network block structure, That is… Read full abstract & cite →

DeepfakeNet deepfake detection data enhancement CNNs cross dataset

Abstract doi.org/10.14569/IJACSA.2021.0120622 PDF

23

A New Key Generation Technique based on Neural Networks for Lightweight Block Ciphers

Author 1: Sohel Rana Author 2: M. Rubaiyat Hossain Mondal Author 3: A. H. M. Shahariar Parvez

In recent years, small computing devices used in wireless sensors, radio frequency identification (RFID) tags, Internet of Things (IoT) are increasing rapidly. However, the resources and capabilities of these devices are limited. Conventional encryption ciphers are computationally expensive and not suitable for lightweight devices. Hence, research in lightweight ciphers is… Read full abstract & cite →

Lightweight cryptography IoT resource limited devices neural network avalanche effect FELICS MATLAB

Abstract doi.org/10.14569/IJACSA.2021.0120623 PDF

24

Fully Automated Ontology Increment`S user Guide Generation

Author 1: Kaneeka Vidanage Author 2: Rosmayati Mohemad Author 3: Noor Maizura Mohamad Noor Author 4: Zuriana Abu Bakar

This research focuses on a domain and schema independent user-guide generation for ontology increments. Having a user guide or a catalogue/manual is vital for quick and effective knowledge dissemination. If a user guide can be generated for an ontology as well, there could be ample advantages. Stakeholders can scan across… Read full abstract & cite →

AliceBot artificial intelligent modelling language ontologist verbalizing

Abstract doi.org/10.14569/IJACSA.2021.0120624 PDF

25

Design of an Efficient RPL Objective Function for Internet of Things Applications

Author 1: Sonia Kuwelkar Author 2: H.G. Virani

Over the decade, a rapid growth in use of smart devices connected and communicating over the Internet is seen in various domains. The IPv6 Routing protocol for Low power and Lossy Networks (RPL) is the routing backbone of such IOT networks. RPL is a proactive, distance vector protocol which constructs… Read full abstract & cite →

Internet of things low power Lossy Networks IPv6 routing protocol for LLN objective function fuzzy logic

Abstract doi.org/10.14569/IJACSA.2021.0120625 PDF

26

Enhance Risks Management of Software Development Projects in Concurrent Multi-Projects Environment to Optimize Resources Allocation Decisions

Author 1: Ibraheem M Alharbi Author 2: Adel A Alyoubi Author 3: Majid Altuwairiqi Author 4: Mahmoud Abd Ellatif

In software development project management, Risk management represents critical knowledge and skills at the level of a single software project and at the enterprise ‎level, which executes multiple software projects concurrently. ‎The best decision of Risk management contributes to optimizing resource allocation ‎ at the enterprise level for achieving its… Read full abstract & cite →

Risk management multiple software projects risk assessment software development projects

Abstract doi.org/10.14569/IJACSA.2021.0120626 PDF

27

Fog-based Remote in-Home Health Monitoring Framework

Author 1: Fatma H. Elgendy Author 2: Amany M. Sarhan Author 3: Mahmoud A. M. Alshewimy

As a result of what happened to the world during the past and current year of the spread of the Covid-19 epidemic, it was necessary to have a reliable health care system for remote observation, especially in care homes for the elderly. There are many research works have been done… Read full abstract & cite →

Fog computing health monitoring iFogSim IoT cloud computing

Abstract doi.org/10.14569/IJACSA.2021.0120627 PDF

28

What Drives Airbnb Customers’ Satisfaction in Amsterdam? A Sentiment Analysis

Author 1: Heyam Abdullah Bin Madhi Author 2: Muna M. Alhammad

The sharing economy is a new socio-economic system that allows individuals to rent out their personal belongings, such as their private car or a room in their home, for a short period. This study aims to investigate the attributes that impact customers’ satisfaction when using the sharing economy propriety rentals… Read full abstract & cite →

Airbnb customer satisfaction customer experience big data sentiment analysis ordinal logistic regression

Abstract doi.org/10.14569/IJACSA.2021.0120628 PDF

29

Motivational Factors Impacting the Use of Citizen Reporting Applications in Saudi Arabia: The Case of Balagh Application

Author 1: Muna M. Alhammad Author 2: Layla Hajar Author 3: Sahar Alshathry Author 4: Mashael Alqasabi

Citizen reporting applications are considered a new approach for interaction between government authorities and citizens. Citizen reporting applications are implemented to collectively gather information from citizens on issues related to public interest such as accidents, traffic violations, and commercial frauds. Through utilizing citizen reporting applications, citizens are able to provide… Read full abstract & cite →

Crowdsourcing self-determination theory intrinsic motivation extrinsic motivation citizens reporting

Abstract doi.org/10.14569/IJACSA.2021.0120629 PDF

30

Securing Student Data Privacy using Modified Snake and Ladder Cryptographic Algorithm

Author 1: Kamaladevi Kunkolienker Author 2: Vaishnavi Kamat

Transformed by the advent of the Digital Revolution, the world deals with a gold mine of data every day. Along with improvement in processing methods for the data, data security is of utmost importance. Recently, there was a noticeable surge in online learning during the pandemic. Modifying their workflow strategies… Read full abstract & cite →

Student data privacy encryption decryption snake and ladder variable keys

Abstract doi.org/10.14569/IJACSA.2021.0120630 PDF

31

A Method to Accommodate Backward Compatibility on the Learning Application-based Transliteration to the Balinese Script

Author 1: Gede Indrawan Author 2: I Ketut Paramarta Author 3: I Gede Nurhayata Author 4: Sariyasa

This research proposed a method to accommodate backward compatibility on the learning application-based transliteration to the Balinese Script. The objective is to accommodate the standard transliteration rules from the Balinese Language, Script, and Literature Advisory Agency. It is considered as the main contribution since there has not been a workaround… Read full abstract & cite →

Backward compatibility Balinese Script learning application transliteration

Abstract doi.org/10.14569/IJACSA.2021.0120631 PDF

32

Validation: Conceptual versus Activity Diagram Approaches

Author 1: Sabah Al-Fedaghi

A conceptual model is used to support development and design within the area of systems and software modeling. The notion of validation refers to representing a domain in a model accurately and generating results using an executable model. In UML specifications, validation verifies the correctness of UML diagrams against any… Read full abstract & cite →

Validation conceptual model activity diagram thinging machine informal validation

Abstract doi.org/10.14569/IJACSA.2021.0120632 PDF

33

Identifying Small and Medium Enterprise Smart Entrepreneurship Training Framework Components using Thematic Analysis and Expert Review

Author 1: Anis Nur Assila Rozmi Author 2: Puteri N.E. Nohuddin Author 3: Abdul Razak Abdul Hadi Author 4: Mohd Izhar A. Bakar

Small and Medium Enterprises (SMEs) today are facing a competitive business environment, in a complex and rapidly changing environment. For that technology is seen as a mediator capable of transforming SMEs to greater heights in an amid and vigorous pace of a borderless world. The agenda of SMEs to generate… Read full abstract & cite →

Small Medium Enterprise (SME) business owner thematic analysis method expert panel Information and Communication Technology (ICT) course selection system smart entrepreneurship training framework

Abstract doi.org/10.14569/IJACSA.2021.0120633 PDF

34

A Framework for Protecting Teenagers from Cyber Crimes and Cyberbullying

Author 1: Sultan Saud Alanazi Author 2: Adwan Alownie Alanazi

Social applications consist of powerful tools that allow people to connect and interact with each other. However, its negative use cannot be ignored. Cyberbullying is a new and serious Internet problem. Cyberbullying is one of the most common risks for teenagers to go online. More than half of young people… Read full abstract & cite →

Cyberbullying cyber bullying internet crimes social media security e-crimes

Abstract doi.org/10.14569/IJACSA.2021.0120634 PDF

35

Anonymity Feature in Android Mobile Apps for Interest Groups

Author 1: Lee Sin Yi Author 2: Nurul A. Emran Author 3: Norharyati Harum

Mobile apps that provide platforms for interest-oriented communities (or interest groups) allow people with common interests to gather virtually in sharing their shared passion and ideas. While the participation of such apps is voluntary, some people feel uncomfortable revealing their real identities due to privacy and safety concerns. Thus, some… Read full abstract & cite →

Anonymity feature mobile social apps quantitative observation android apps anonymous social media interest groups component

Abstract doi.org/10.14569/IJACSA.2021.0120635 PDF

36

A Method to Prevent SQL Injection Attack using an Improved Parameterized Stored Procedure

Author 1: Kamsuriah Ahmad Author 2: Mayshara Karim

Structured Query Language (SQL) injection is one of the critical threats to database security. The effects of SQL injection attacks cause the data contained in the database to be at risk of being exploited by irresponsible parties, compromising data integrity, disrupting server operations and in return affecting the organization's image… Read full abstract & cite →

SQL injection prevention database security parameterized stored procedure network firewall

Abstract doi.org/10.14569/IJACSA.2021.0120636 PDF

37

From User Stories to UML Diagrams Driven by Ontological and Production Model

Author 1: Samia Nasiri Author 2: Yassine Rhazali Author 3: Mohammed Lahmer Author 4: Amina Adadi

The User Story format has become the most popular way of expressing requirements in Agile methods. However, a requirement does not state how a solution will be physically achieved. The purpose of this paper is to present a new approach that automatically transforms user stories into UML diagrams. Our approach… Read full abstract & cite →

Ontology prolog rules natural language processing UML diagrams user stories

Abstract doi.org/10.14569/IJACSA.2021.0120637 PDF

38

Law Architecture for Regulatory-Compliant Public Enterprise Model: A Focus on Healthcare Reform in Egypt

Author 1: Alsayed Abdelwahed Mohamed Author 2: Nashwa El-bendary Author 3: A. Abdo

Public business operations are governed by a set of legal sources, which regulate their implementation under administrative laws, that are increasingly influencing software system design and development. Enterprise Architecture (EA) is a critical approach for driving business and Information Systems (IS) transformation in the public sector. On the other hand… Read full abstract & cite →

Law architecture regulatory compliance requirements engineering enterprise architecture law ontology TOGAF

Abstract doi.org/10.14569/IJACSA.2021.0120638 PDF

39

Microorganisms: Integrating Augmented Reality and Gamification in a Learning Tool

Author 1: Ratna Zuarni Ramli Author 2: Nor Athirah Umairah Marobi Author 3: Noraidah Sahari Ashaari

Microorganisms is a Year 6 Science subject that primary school students find considerably less attractive because of the enormous facts that require them to have good imaginary skills to understand. Only limited applications are available on smartphones as tools to learn subjects, especially Science, Technology, Engineering and Mathematics (STEM). Since… Read full abstract & cite →

Augmented reality digital game-based learning (DGBL) game learning tool microorganisms usability testing

Abstract doi.org/10.14569/IJACSA.2021.0120639 PDF

40

Emotional Evocative User Interface Design for Lifestyle Intervention in Non-communicable Diseases using Kansei

Author 1: Noor Afiza Mat Razali Author 2: Normaizeerah Mohd Noor Author 3: Norulzahrah Mohd Zainudin Author 4: Nur Atiqah Malizan Author 5: Nor Asiakin Hasbullah Author 6: Khairul Khalil Ishak

The advancement of technology has led to the development of an artificial intelligence-based healthcare-related application that can be easily accessed and used to assist people in lifestyle intervention for preventing the development of non-communicable diseases (NCD)s. Previous research suggested that users are demanding a more emotional evocative user interface design… Read full abstract & cite →

Emotion Kansei non-communicable diseases lifestyle intervention user-interface design

Abstract doi.org/10.14569/IJACSA.2021.0120640 PDF

41

Exploring the Socio-economic Implications of Artificial Intelligence from Higher Education Student’s Perspective

Author 1: Sarah Bamatraf Author 2: Lobna Amouri Author 3: Nahla El-Haggar Author 4: Aishah Moneer

As a result of the instability of oil prices, the economic prospects of the Gulf region are increasing their focus on new technologies. Thus, Saudi Arabia has demonstrated a strong commitment towards the development and implementation of Artificial Intelligence (AI) technologies as alternative sources for revenue and growth in line… Read full abstract & cite →

Artificial intelligence Saudi community data analysis social efficiency impact economic productivity impact

Abstract doi.org/10.14569/IJACSA.2021.0120641 PDF

42

Feistel Network Assisted Dynamic Keying based SPN Lightweight Encryption for IoT Security

Author 1: Krishna Priya Gurumanapalli Author 2: Nagendra Muthuluru

In the last few years Internet-of-Things (IoT) technology has emerged significantly to serve varied purposes including healthcare, surveillance and control, business communication, civic administration and even varied financial activities. Despite of such broadened applications, being distributed, wireless based systems, IoTs are often considered vulnerable towards intrusion or malicious attacks, where… Read full abstract & cite →

Internet-of-Things dynamic programming lightweight encryption generalized Feistel network substitution and permutation network

Abstract doi.org/10.14569/IJACSA.2021.0120642 PDF

43

Cloud-based Secure Healthcare Framework by using Enhanced Ciphertext Policy Attribute-Based Encryption Scheme

Author 1: Siti Dhalila Mohd Satar Author 2: Mohamad Afendee Mohamed Author 3: Masnida Hussin Author 4: Zurina Mohd Hanapi Author 5: Siti Dhalila Mohd Satar

Cloud computing is an emerging technology that has been used to provide better healthcare services to the users because of its convenient and economical features. Noted that the healthcare services required fast and reliable data sharing at anytime from anywhere for better monitoring and decision making in medical requirements. However… Read full abstract & cite →

Cloud computing privacy and integrity fine-grained access control Ciphertext policy attribute-based encryption electronic health record

Abstract doi.org/10.14569/IJACSA.2021.0120643 PDF

44

Determining Optimal Number of K for e-Learning Groups Clustered using K-Medoid

Author 1: S. Anthony Philomen Raj Author 2: Vidyaathulasiraman

e-Learning is appropriate when the learners are grouped and facilitated to learn according to their learning style and at their own pace. Elaborate researches have been proposed to categorize learners based on various e-learning parameters. Most of these researches have deployed the clustering principles for grouping eLearners, and in particular… Read full abstract & cite →

Clustering e-learning elbow method k-means k-medoid machine learning silhouette method

Abstract doi.org/10.14569/IJACSA.2021.0120644 PDF

45

Abnormal Pulmonary Sounds Classification Algorithm using Convolutional Networks

Author 1: Alva Mantari Alicia Author 2: Arancibia-Garcia Alexander Author 3: Chávez Frías William Author 4: Cieza-Terrones Michael Author 5: Herrera-Arana Víctor Author 6: Ramos-Cosi Sebastian

In the world and in Peru, Acute Respiratory Infections are the main cause of death, especially in the most vulnerable population, children under 5 years of age and older adults. Pneumonia is the leading cause of death of children in the world. 60.2% of pneumonia cases affect children under 5… Read full abstract & cite →

Algorithm classification computational neural networks lung sounds mortality pneumonia

Abstract doi.org/10.14569/IJACSA.2021.0120645 PDF

46

Cost Effective Hybrid Fault Tolerant Scheduling Model for Cloud Computing Environment

Author 1: Annabathula. Phani Sheetal Author 2: K. Ravindranath

Cloud computing provides flexible and cost effective way for end users to access data from multiplatform environment. Despite of support by the features of cloud computing, there are also chances of resource failure. Hence there is a need of a fault tolerant mechanism to achieve undisrupted performance of cloud services… Read full abstract & cite →

Cloud computing failures fault tolerant critical tasks scheduling fault recovery overhead

Abstract doi.org/10.14569/IJACSA.2021.0120646 PDF

47

An Efficient Image Clustering Technique based on Fuzzy C-means and Cuckoo Search Algorithm

Author 1: Lahbib KHRISSI Author 2: Nabil EL AKKAD Author 3: Hassan SATORI Author 4: Khalid SATORI

Clustering is a predominant technique used in image segmentation due to its simple, easy and efficient approach. It is very important for the analysis, extraction and interpretation of images; which makes it used in multiple applications and in various fields. In this article, we propose a different image segmentation technique… Read full abstract & cite →

Clustering classification image segmentation fuzzy c-means cuckoo search algorithm

Abstract doi.org/10.14569/IJACSA.2021.0120647 PDF

48

Prediction of Cantilever Retaining Wall Stability using Optimal Kernel Function of Support Vector Machine

Author 1: Rohaya Alias Author 2: Siti Jahara Matlan Author 3: Aniza Ibrahim

The Support Vector Machine is one of the artificial intelligence techniques that can be applied to forecast the stability of cantilever retaining walls. The selection of the right Kernel function is very important so that the Support Vector Machine model can make good predictions. However, there are no general guidelines… Read full abstract & cite →

Cantilever retaining wall kernel function prediction stability support vector machine

Abstract doi.org/10.14569/IJACSA.2021.0120648 PDF

49

Analyzing the Performance of Anomaly Detection Algorithms

Author 1: Chiranjit Das Author 2: Akhtar Rasool Author 3: Aditya Dubey Author 4: Nilay Khare

An outlier is a data observation that is considerably irregular from the rest of the dataset. The outlier present in the dataset may cause the integrity of the dataset. Implementing machine learning techniques in various real-world applications and applying those techniques to the healthcare-related dataset will completely change the particular… Read full abstract & cite →

Anomaly machine learning outlier detection minimum covariance determinant

Abstract doi.org/10.14569/IJACSA.2021.0120649 PDF

50

Current Perspective of Symbiotic Organisms Search Technique in Cloud Computing Environment: A Review

Author 1: Ajoze Abdulraheem Zubair Author 2: Shukor Bin Abd Razak Author 3: Md. Asri Bin Ngadi Author 4: Aliyu Ahmed

Nature-inspired algorithms in computer science and engineering are algorithms that take their inspiration from living things and imitate their actions in order to construct functional models. The SOS algorithm (symbiotic organisms search) is a new promising metaheuristic algorithm. It is based on the symbiotic relationship that exists between different species… Read full abstract & cite →

Cloud computing cloud resource management cloud task scheduling symbiotic organisms search entrapment convergence speed

Abstract doi.org/10.14569/IJACSA.2021.0120650 PDF

51

Sarcasm Detection in Tweets: A Feature-based Approach using Supervised Machine Learning Models

Author 1: Arifur Rahaman Author 2: Ratnadip Kuri Author 3: Syful Islam Author 4: Md. Javed Hossain Author 5: Mohammed Humayun Kabir

Sarcasm (i.e., the use of irony to mock or convey contempt) detection in tweets and other social media platforms is one of the problems facing the regulation and moderation of social media content. Sarcasm is difficult to detect, even for humans, due to the deliberate ambiguity in using words. Existing… Read full abstract & cite →

Machine learning detection sarcasm sentiment tweets

Abstract doi.org/10.14569/IJACSA.2021.0120651 PDF

52

Evaluation of Agent-Network Environment Mapping on Open-AI Gym for Q-Routing Algorithm

Author 1: Varshini Vidyadhar Author 2: R. Nagaraja

The changes in network dynamics demands a routing algorithm that adapts intelligently with the changing requirements and parameters. In this regard, an efficient routing mechanism plays an essential role in supporting such requirements of dynamic and QoS-aware network services. This paper has introduced a self-learning intelligent approach to route selection… Read full abstract & cite →

Reinforcement learning environment agent network Net-AI-Gym Q-routing rule-based routing

Abstract doi.org/10.14569/IJACSA.2021.0120652 PDF

53

Internet of Things (IoT) Based ECG System for Rural Health Care

Author 1: Md. Obaidur Rahman Author 2: Mohammod Abul Kashem Author 3: Al-Akhir Nayan Author 4: Most. Fahmida Akter Author 5: Fazly Rabbi Author 6: Marzia Ahmed Author 7: Mohammad Asaduzzaman

Nearly 30% of the people in the rural areas of Bangladesh are below the poverty level. Moreover, due to the unavailability of modernized healthcare-related technology, nursing and diagnosis facilities are limited for rural people. Therefore, rural people are deprived of proper healthcare. In this perspective, modern technology can be facilitated… Read full abstract & cite →

Internet of things (IoT) electrocardiogram (ECG) monitoring system ECG signal parameters cardiovascular disease logistic regression model

Abstract doi.org/10.14569/IJACSA.2021.0120653 PDF

54

Design of a Plastic Shredding Machine to Obtain Small Plastic Waste

Author 1: Witman Alvarado-Diaz Author 2: Jason Chicoma-Moreno Author 3: Brian Meneses-Claudio Author 4: Luis Nuñez-Tapia

One of the biggest environmental problems in the world is the excess of plastic waste. Although it is true, around the world there are companies that are responsible for recycling plastic waste, since 42% of plastics that are generated worldwide have a single utility. In Peru, the culture of recycling… Read full abstract & cite →

Automation pollution filaments recycling plastic waste

Abstract doi.org/10.14569/IJACSA.2021.0120654 PDF

55

An HC-CSO Algorithm for Workflow Scheduling in Heterogeneous Cloud Computing System

Author 1: Jai Bhagwan Author 2: Sanjeev Kumar

Many scientists are using meta-heuristic techniques for dynamic workflow task scheduling in the area of cloud computing systems to get optimum solutions. Many swarm intelligent algorithms have been designed so far which are having many limitations as some get trapped in local optima, a few are having low convergence speed… Read full abstract & cite →

Cloud computing Crow Search Algorithm (CSA) Cat Swarm Optimization (CSO) H-CSO HC-CSO HEFT Self-Motivated Inertia Weight (SMIW) Virtual Machines (VMs)

Abstract doi.org/10.14569/IJACSA.2021.0120655 PDF

56

Improving Imbalanced Data Classification in Auto Insurance by the Data Level Approaches

Author 1: Mohamed Hanafy Author 2: Ruixing Ming

Predicting the frequency of insurance claims has become a significant challenge due to the imbalanced datasets since the number of occurring claims is usually significantly lower than the number of non-occurring claims. As a result, classification models tend to have a limited ability to predict the occurrence of claims. So… Read full abstract & cite →

Machine learning classification insurance imbalanced data problem resampling methods

Abstract doi.org/10.14569/IJACSA.2021.0120656 PDF

57

A New Feature Filtering Approach by Integrating IG and T-Test Evaluation Metrics for Text Classification

Author 1: Abubakar Ado Author 2: Mustafa Mat Deris Author 3: Noor Azah Samsudin Author 4: Aliyu Ahmed

High dimensionality is one of the main issues associated with text classification, such as selecting the most discrepant features subset for classifier's effective utilization is a difficult task. This significant preprocessing stage of selecting the relevant features is often called feature selection or feature filtering. Eliminating the non-relevant and noise… Read full abstract & cite →

Dimensional reduction feature filtering feature selection t-test information gain V-score

Abstract doi.org/10.14569/IJACSA.2021.0120657 PDF

58

An Ontological Framework for Healthcare Web Applications Security

Author 1: Mamdouh Alenezi

The current era of digitization and transformation causes various issues and advantages both at the same time in the healthcare sector. The beneficial advantages are exceptionally good but the issues that are gardening the business of attackers is a serious issue and requires effective prevention. Current statistics and attack vector… Read full abstract & cite →

Security web application healthcare digitization requirement

Abstract doi.org/10.14569/IJACSA.2021.0120658 PDF

59

A Proposal to Improve the Bit Plane Steganography based on the Complexity Calculation Technique

Author 1: Cho Do Xuan

The video steganography technique is being studied and applied a lot today because of its benefits. In particular, the video steganography technique using Bit-Plane Complexity Segmentation (BPCS) has increasingly proven its effectiveness compared to other methods. In this paper, based on the theoretical basis of the BPCS method, we propose… Read full abstract & cite →

Steganography video steganography technique bit-plane complexity segmentation (BPCS) complexity formula

Abstract doi.org/10.14569/IJACSA.2021.0120659 PDF

60

Multiplicative Iterative Nonlinear Constrained Coupled Non-negative Matrix Factorization (MINC-CNMF) for Hyperspectral and Multispectral Image Fusion

Author 1: Priya K Author 2: Rajkumar K K

Hyperspectral and Multispectral (HS-MS) image fusion is a most trending technology that enhance the quality of hyperspectral image. By this technology, retrieve the precise information from both HS and MS images combined together increase spatial and spectral quality of the image. In the past decades, many image fusion techniques have… Read full abstract & cite →

Hyperspectral data multispectral data minimum volume nonlinear mixing model spectral variability spectral image fusion

Abstract doi.org/10.14569/IJACSA.2021.0120660 PDF

61

Optimal Operation of Smart Distribution Networks using Gravitational Search Algorithm

Author 1: Surender Reddy Salkuti

This paper proposes a methodology for an optimal operation of smart distribution network considering the network reconfiguration, distributed generation (DG) units allocation and optimally placing the shunt capacitors for reactive power compensation. In this work, the total power losses minimization objective is considered. By optimizing this objective, it can also… Read full abstract & cite →

Distributed generation renewable energy meta-heuristic algorithms network reconfiguration smart grid reactive power compensation

Abstract doi.org/10.14569/IJACSA.2021.0120661 PDF

62

Analyzing the Performance of Stroke Prediction using ML Classification Algorithms

Author 1: Gangavarapu Sailasya Author 2: Gorli L Aruna Kumari

A Stroke is a health condition that causes damage by tearing the blood vessels in the brain. It can also occur when there is a halt in the blood flow and other nutrients to the brain. According to the World Health Organization (WHO), stroke is the leading cause of death… Read full abstract & cite →

Stroke machine learning logistic regression decision tree classification random forest classification k-nearest neighbors support vector machine naïve bayes classification

Abstract doi.org/10.14569/IJACSA.2021.0120662 PDF

63

A Novel Threshold based Method for Vessel Intensity Detection and Extraction from Retinal Images

Author 1: Farha Fatina Wahid Author 2: Sugandhi K Author 3: Raju G Author 4: Debabrata Swain Author 5: Biswaranjan Acharya Author 6: Manas Ranjan Pradhan

Retinal vessel segmentation is an active research area in medical image processing. Several research outcomes on retinal vessel segmentation have emerged in recent years. Each method has its own pros and cons, either in the vessel detection stage or in its extraction. Based on a detailed empirical investigation, a novel… Read full abstract & cite →

Retinal images blood vessel detection and segmentation segmentation hysteresis thresholding cumulative distribution function introduction

Abstract doi.org/10.14569/IJACSA.2021.0120663 PDF

64

Integration of Identity Governance and Management Framework within Universities for Privileged Users

Author 1: Shadma Parveen Author 2: Sultan Ahmad Author 3: Mohammad Ahmar Khan

The development of high-tech progression around the world, with the attentions of governance body and private companies towards well-organized setup access control measures within the organization. The importance of these exceedingly essential perception, this article is proposing an integrated approach with the assimilation of IAM (identity access management) as an… Read full abstract & cite →

Identity management governance framework privileged access management security privacy

Abstract doi.org/10.14569/IJACSA.2021.0120664 PDF

65

Dorsal Hand Vein Extraction in Uncontrolled Environment

Author 1: Nisha Charaya Author 2: Anil Kumar Author 3: Priti Singh

Biometrics is an inseparable part of our day to day life. A major development in this area has been observed in past few decades. Over the recent years, dorsal hand veins have emerged as a promising biometric attribute due to its universality, stability and anti-forgery characteristics. However, detecting the veins… Read full abstract & cite →

Biometrics security forgery hand vein vein segmentation vein extraction thick veins unclear veins

Abstract doi.org/10.14569/IJACSA.2021.0120665 PDF

66

An Ensemble GRU Approach for Wind Speed Forecasting with Data Augmentation

Author 1: Anibal Flores Author 2: Hugo Tito-Chura Author 3: Victor Yana-Mamani

This paper proposes an ensemble model for wind speed forecasting using the recurrent neural network known as Gated Recurrent Unit (GRU) and data augmentation. For the experimentation, a single wind speed time series is used, from which four augmented time series are generated, which serve to train four GRU sub-models… Read full abstract & cite →

Wind speed forecasting recurrent neural networks gated recurrent unit ensemble GRU data augmentation

Abstract doi.org/10.14569/IJACSA.2021.0120666 PDF

67

Relative Merits of Data Mining Algorithms of Chronic Kidney Diseases

Author 1: Harsha Herle Author 2: Padmaja K V

Early prediction of Chronic Kidney Disease in human subjects is considered to be a critical factor for diagnosis and treatment. The use of data mining algorithms to reveal the hidden information from clinical and laboratory samples helps physician in early diagnosis, thus contributing towards increase in accuracy, prediction and detection… Read full abstract & cite →

Ultrasound images support vector machine (SVM) k-nearest algorithm (K-NN) multilayer perceptron algorithm (MLP) random forest (RF) clinical data

Abstract doi.org/10.14569/IJACSA.2021.0120667 PDF

68

Comparing the Balanced Accuracy of Deep Neural Network and Machine Learning for Predicting the Depressive Disorder of Multicultural Youth

Author 1: Haewon Byeon

Multicultural youth are more likely to experience negative emotions (e.g. depressive symptoms) due to social prejudice and discrimination. Nevertheless, previous studies that analyzed the emotional aspects of multicultural youth mainly compared the characteristics of multicultural youth and those of the other youth or identified individual risk factors using a regression… Read full abstract & cite →

Quick unbiased efficient statistical tree gradient boosting machine deep neural network classification and regression trees balanced accuracy

Abstract doi.org/10.14569/IJACSA.2021.0120668 PDF

69

Privacy Preserving Dynamic Provable Data Possession with Batch Update for Secure Cloud Storage

Author 1: Smita Chaudhari Author 2: Gandharba Swain

Cloud Server (CS) is an untrusted entity in cloud paradigm that may hide accidental data loss to maintain its reputation. Provable Data Possession (PDP) is a model that allows Third Party Auditor (TPA) to verify the integrity of outsourced data on behalf of cloud user without downloading the data files… Read full abstract & cite →

Public auditing ring signature Indistinguishability Obfuscation Rank-based Merkle Tree (RBMT)

Abstract doi.org/10.14569/IJACSA.2021.0120669 PDF

70

Classification Model Evaluation Metrics

Author 1: Željko Ð. Vujovic

The purpose of this paper was to confirm the basic assumption that classification models are suitable for solving the problem of data set classifications. We selected four representative models: BaiesNet, NaiveBaies, MultilayerPerceptron, and J48, and applied them to a four-class classification of a specific set of hepatitis C virus data… Read full abstract & cite →

Classification model classification models evaluate classification models worst metric values four-class classification metric classification reliable classified classification models detailed class accuracy

Abstract doi.org/10.14569/IJACSA.2021.0120670 PDF

71

Cluster based Certificate Blocking Scheme using Improved False Accusation Algorithm

Author 1: Chetan S Arage Author 2: K. V. V. Satyanarayana

The aggregation of mobile nodes without the use of a base station is known as Mobile Ad Hoc Networks (MANETS). In nature, the nodes are moving. These networks are not connected and thus subject to security attacks due to their mobility. There are several mechanisms proposed to prevent mishaps while… Read full abstract & cite →

Mobile Ad Hoc Networks cooperative bait detection scheme cluster cluster head certifying authority certificate revocation

Abstract doi.org/10.14569/IJACSA.2021.0120671 PDF

72

Augmented Reality based Adaptive and Collaborative Learning Methods for Improved Primary Education Towards Fourth Industrial Revolution (IR 4.0)

Author 1: A F M Saifuddin Saif Author 2: Zainal Rasyid Mahayuddin Author 3: Azrulhizam Shapi'i

Existing primary education is not organized properly to fulfil the demand of fourth industrial revolution (IR 4.0) which causes lack of engagement in learning materials, lack of spatial ability and motivation towards learning by young age students. Students especially from initial education level tend to learn from seeing rather than… Read full abstract & cite →

Augmented reality virtual reality adaptive and collaborative learning fourth industrial revolution

Abstract doi.org/10.14569/IJACSA.2021.0120672 PDF

73

Feasibility Study of a Small-Scale Grid-Connected PV Power Plants in Egypt; Case Study: New Valley Governorate

Author 1: Mahmoud Saad Author 2: Hamdy M. Sultan Author 3: Ahmed Abdeltwab Author 4: Ahmed A. Zaki Diab

The construction of photovoltaic power plants (PVPPs) in the right place is an important task when planning the development of the power system and choosing investors. In this paper, the technical, environmental, the economic feasibility of installing a 50kW solar power plant in different places in the New Valley Governorate… Read full abstract & cite →

RETScreen new valley solar energy energy cost feasibility analysis greenhouse gases

Abstract doi.org/10.14569/IJACSA.2021.0120673 PDF

74

Augmented Reality Adapted Book (AREmotion) Design as Emotional Expression Recognition Media for Children with Autistic Spectrum Disorders (ASD)

Author 1: Tika Miningrum Author 2: Herman Tolle Author 3: Fitra A Bachtiar

One of the Autism Spectrum Disorder (ASD) characteristics is their difficulty understanding other people's emotions. Their lack of skill of understanding emotion includes expression and appropriate emotional response for a certain situation. This paper proposes an adapted book that helps therapists and parents guide ASD children to learn facial emotional… Read full abstract & cite →

Autism Spectrum Disorder (ASD) adapted book Augmented Reality (AR) User-Centered Design (UCD)

Abstract doi.org/10.14569/IJACSA.2021.0120674 PDF

75

Towards Evaluating Adversarial Attacks Robustness in Wireless Communication

Author 1: Asmaa FTAIMI Author 2: Tomader MAZRI

The emerging new technologies, such as autonomous vehicles, augmented reality, IoT, and other aspects that are revolutionising our world today, have highlighted new requirements that wireless communications must fulfil. Wireless communications are expected to have a high optimisation capability, efficient detection ability, and prediction flexibility to meet today's cutting-edge telecommunications… Read full abstract & cite →

Adversarial attacks deep learning wireless communication security robustness vulnerability threat

Abstract doi.org/10.14569/IJACSA.2021.0120675 PDF

76

An Approach for Optimal Feature Selection in Machine Learning using Global Sensitivity Analysis

Author 1: G. Saranya Author 2: A. Pravin

The classification application is an important procedure for selecting the feature. The classification is mainly based on the features extracted from the object. You can select the best feature using the following three methods: wrapper selection, filter and embedded procedure. All three practices have been implemented by single or combined… Read full abstract & cite →

Feature selection feature sensitivity feature correlation global sensitivity analysis classification

Abstract doi.org/10.14569/IJACSA.2021.0120676 PDF

77

Energy Material Network Data Hubs

Author 1: Robert R. White Author 2: Kristin Munch Author 3: Nicholas Wunder Author 4: Nalinrat Guba Author 5: Chitra Sivaraman Author 6: Kurt M. Van Allsburg Author 7: Huyen Dinh Author 8: Courtney Pailing

In early 2015 the United States Department of Energy conceived of a consortium of collaborative bodies based on shared expertise, data, and resources that could be targeted towards the more difficult problems in energy materials research. The concept of virtual laboratories had been envisioned and discussed earlier in the decade… Read full abstract & cite →

Energy materials research cloud computing virtual laboratories data management consortium network

Abstract doi.org/10.14569/IJACSA.2021.0120677 PDF

78

A New Approach based on Fuzzy MADM for Enhancing Infrastructure Selection in the Case of VANET Network

Author 1: Abdeslam Houari Author 2: Tomader Mazri

The emergence of the 5G mobile network has a huge impact on the evolution of services and functionalities offered to its customers; this latest version of mobile networks will allow the simultaneous connection of a significant number of people and IoT devices, in addition to the improvement of several other… Read full abstract & cite →

5G Vehicular adhoc network internet of things intelligent transportation system cellular infrastructure road infrastructure fuzzy vertical handover MADM

Abstract doi.org/10.14569/IJACSA.2021.0120678 PDF

79

A Modified Particle Swarm Optimization Approach for Latency of Wireless Sensor Networks

Author 1: Jannat H. Elrefaei Author 2: Ahmed Yahya Author 3: Mouhamed K. Shaat Author 4: Ahmed H. Madian Author 5: Refaat M. Fikry

In time-sensitive applications, such as detecting environmental and individual nuclear radiation exposure, wireless sensor networks are employed.. Such application requires timely detection of radiation levels so that appropriate emergency measures are applied to protect people and the environment from radiation hazards. In these networks, collision and interference in communication between… Read full abstract & cite →

Wireless sensor networks media access control protocol scheduling algorithms meta-heuristics particle swarm optimization

Abstract doi.org/10.14569/IJACSA.2021.0120679 PDF

80

Case Study of Self-Organization Processes in Information System Caching Components

Author 1: Pavel Kurnikov Author 2: Nina Krapukhina

Most modern Information Systems (IS) are designed with Object-Relational Mapping components (ORM). Such components bring down the number of queries to the database server and therefore increase the system performance. Caching mechanisms in software components are complex dynamic systems of open type. A simulation model of cache-application interaction has been… Read full abstract & cite →

Caching mechanisms ORM phase space reconstruction self-organization dissipative structures deterministic chaos

Abstract doi.org/10.14569/IJACSA.2021.0120680 PDF

81

Dynamic Management of Security Policies in PrivOrBAC

Author 1: Jihane EL MOKHTARI Author 2: Anas ABOU EL KALAM Author 3: Siham BENHADDOU Author 4: Jean-Philippe LEROY

This article is a continuation of our previous work on identifying and developing tools and concepts to provide automatic management and derivation of security and privacy policies. In this document we are interested in the extension of the PrivOrBAC model in order to ensure a dynamic management of privacy-aware security… Read full abstract & cite →

Access control privacy PrivOrBAC PrivUML smart contract WS-agreement

Abstract doi.org/10.14569/IJACSA.2021.0120681 PDF

82

Hyperspectral Image Classification using Convolutional Neural Networks

Author 1: Shambulinga M Author 2: G. Sadashivappa

Hyperspectral image is well-known for the identification of the objects on the earth's surface. Most of the classifier uses the spectral features and does not consider the spatial features to perform the classification and to recognize the various objects on the image. In this paper, the hyperspectral image is classified… Read full abstract & cite →

Convolutional neural network hyperspectral image classification

Abstract doi.org/10.14569/IJACSA.2021.0120682 PDF

83

Skeletonization of the Straight Leg Raise Movement using the Kinect SDK

Author 1: Hustinawaty Author 2: T. Rumambi Author 3: M. Hermita

Biomechanics is widely used as a basis for research in studying disorders of the movement system in the human body. The development of biomechanics has an effect on the field of physiotherapy. Various physiotherapy tests or studies have been developed by researchers to identify and analyze the causes of movement… Read full abstract & cite →

Straight leg raise range of motion skeleton kinect

Abstract doi.org/10.14569/IJACSA.2021.0120683 PDF

84

MAGITS: A Mobile-based Information Sharing Framework for Integrating Intelligent Transport System in Agro-Goods e-Commerce in Developing Countries

Author 1: Stivin Aloyce Nchimbi Author 2: Mussa Ally Dida Author 3: Gerrit K. Janssens Author 4: Janeth Marwa Author 5: Michael Kisangiri

The technological advancement in Intelligent Transport Systems and mobile phones enable massive collaborating devices to collect, process, and share information to support the sales and transportation of agricultural goods (agro-goods) from farmer to market within the Agriculture Supply Chain. Mobile devices, especially smartphones and intelligent Point of Sale (PoS), provide… Read full abstract & cite →

Intelligent transport system stakeholders mobile phone agro-goods information sharing agriculture supply chain machine learning

Abstract doi.org/10.14569/IJACSA.2021.0120684 PDF

85

Software Project Estimation with Machine Learning

Author 1: Noor Azura Zakaria Author 2: Amelia Ritahani Ismail Author 3: Afrujaan Yakath Ali Author 4: Nur Hidayah Mohd Khalid Author 5: Nadzurah Zainal Abidin

This project involves research about software effort estimation using machine learning algorithms. Software cost and effort estimation are crucial parts of software project development. It determines the budget, time and resources needed to develop a software project. One of the well-established software project estimation models is Constructive Cost Model (COCOMO)… Read full abstract & cite →

Software effort estimation project estimation constructive cost model COCOMO machine learning

Abstract doi.org/10.14569/IJACSA.2021.0120685 PDF

86

Do Learning Styles Enhance the Academic Performance of University Students? A Case Study

Author 1: Jorge Muñoz-Mederos Author 2: Elizabeth Acosta-Gonzaga Author 3: Elena Fabiola Ruiz-Ledesma Author 4: Aldo Ramírez-Arellano

Higher education models appear to be not entirely designed to support students in facing severe challenges, such as failure in exams and dropping out of school. To solve these challenges, several models of learning styles have been proposed, under the premise that these studies contribute to improving the student's learning… Read full abstract & cite →

Learning styles learning objects unified learning style model (ULSM) academic performance higher education

Abstract doi.org/10.14569/IJACSA.2021.0120686 PDF

87

Application of Expert System with Smartphone-based Certainty Factor Method for Hypertension Risk Detection

Author 1: Dodon Yendri Author 2: Derisma Author 3: Desta Yolanda Author 4: Sabrun Jamil

Hypertension is a factor health problem with a high prevalence in Indonesia. The total amount of hypertension nationwide is 34.11%. There are only 1/2 were diagnosed, and the remaining 1/2 are undiagnosed. Certainty factor was needed to prove the certain or not of a fact in a metric form, and… Read full abstract & cite →

Hypertension certainty factor blood pressure mpx5500dp

Abstract doi.org/10.14569/IJACSA.2021.0120687 PDF

88

Using API with Logistic Regression Model to Predict Hotel Reservation Cancellation by Detecting the Cancellation Factors

Author 1: Sultan Almotiri Author 2: Nouf Alosaimi Author 3: Bayan Abdullah

The aim of establishing hotels is to provide a service activity to its customers with the aim of making a profit. So, for that the cancellations are a key perspective of inn income administration since their effectiveness on room reservation systems. Cancelling the reservation eliminates the outcome. Many expected factors… Read full abstract & cite →

Prediction API factors logistics regression

Abstract doi.org/10.14569/IJACSA.2021.0120688 PDF

89

A Technique for Constrained Optimization of Cross-ply Laminates using a New Variant of Genetic Algorithm

Author 1: Huiyao Zhang Author 2: Atsushi Yokoyama

The main challenge presented by the design of laminated composite material is the laminate layup, involving a set of fiber orientations, composite material systems, and stacking sequences. In nature, it is a combinatorial optimization problem with constraints that can be solved by the genetic algorithm. The traditional approach to solve… Read full abstract & cite →

Laminated composite classical lamination theory genetic algorithm optimal design

Abstract doi.org/10.14569/IJACSA.2021.0120689 PDF

90

Kinematic Analysis for Trajectory Planning of Open-Source 4-DoF Robot Arm

Author 1: Han Zhong Ting Author 2: Mohd Hairi Mohd Zaman Author 3: Mohd Faisal Ibrahim Author 4: Asraf Mohamed Moubark

Many small and large industries use robot arms to establish a range of tasks such as picking and placing, and painting in today’s world. However, to complete these tasks, one of the most critical problems is to obtain the desire position of the robot arm’s end-effector. There are two methods… Read full abstract & cite →

Robot arm kinematic analysis forward kinematic inverse kinematic open-source

Abstract doi.org/10.14569/IJACSA.2021.0120690 PDF

91

Fake News Detection in Arabic Tweets during the COVID-19 Pandemic

Author 1: Ahmed Redha Mahlous Author 2: Ali Al-Laith

In March 2020, the World Health Organization declared the COVID-19 outbreak to be a pandemic. Soon af-terwards, people began sharing millions of posts on social media without considering their reliability and truthfulness. While there has been extensive research on COVID-19 in the English lan-guage, there is a lack of research… Read full abstract & cite →

Fake news Twitter social media Arabic corpus

Abstract doi.org/10.14569/IJACSA.2021.0120691 PDF

92

Detecting COVID-19 Utilizing Probabilistic Graphical Models

Author 1: Emad Alsuwat Author 2: Sabah Alzahrani Author 3: Hatim Alsuwat

Probabilistic graphical models are employed in a variety of areas such as artificial intelligence and machine learn-ing to depict causal relations among sets of random variables. In this research, we employ probabilistic graphical models in the form of Bayesian network to detect coronavirus disease 2019 (denoted as COVID-19) disease. We… Read full abstract & cite →

Coronavirus disease 2019 COVID-19 artificial in-telligence machine learning probabilistic graphical models causal models Bayesian networks detection methods

Abstract doi.org/10.14569/IJACSA.2021.0120692 PDF

93

An Optimized Artificial Neural Network Model using Genetic Algorithm for Prediction of Traffic Emission Concentrations

Author 1: Akibu Mahmoud Abdullah Author 2: Raja Sher Afgun Usmani Author 3: Thulasyammal Ramiah Pillai Author 4: Mohsen Marjani Author 5: Ibrahim Abaker Targio Hashem

Global warming and climate change have become universal issues recently. One of the leading sources of climate change is automobiles. Automobiles are the prime source of air pollution in urban areas globally. This has resulted in a problematic and chaotic state in the development of an automatic traffic management system… Read full abstract & cite →

Optimized Artificial Neural Network (OANN) Ge-netic Algorithm traffic emissions

Abstract doi.org/10.14569/IJACSA.2021.0120693 PDF

94

Discrete Time-Space Stochastic Mathematical Modelling for Quantitative Description of Software Imperfect Fault-Debugging with Change-Point

Author 1: Mohd Taib Shatnawi Author 2: Omar Shatnawi

Statistics and stochastic-process theories, along with the mathematical modelling and the respective empirical evidence support, describe the software fault-debugging phenomenon. In software-reliability engineering literature, stochastic mathemat-ical models based on the non-homogeneous Poisson process (NHPP) are employed to measure and boost reliability too. Since reliability evolves on account of the running… Read full abstract & cite →

Stochastic mathematical modelling discrete time-space non-homogenous poisson process change-point imperfect fault-debugging software-reliability

Abstract doi.org/10.14569/IJACSA.2021.0120694 PDF

95

The Role of Data Pre-processing Techniques in Improving Machine Learning Accuracy for Predicting Coronary Heart Disease

Author 1: Osamah Sami Author 2: Yousef Elsheikh Author 3: Fadi Almasalha

These days, in light of the rapid developments, people work day and night to live at a good level. This often causes them to not pay much attention to a healthy lifestyle, such as what they eat or even what physical activities they do. These people are often the most… Read full abstract & cite →

Coronary heart disease heart machine learning data preprocessing classification technique

Abstract doi.org/10.14569/IJACSA.2021.0120695 PDF

96

Numerical Investigation on System of Ordinary Differential Equations Absolute Time Inference with Mathematica®

Author 1: Adeniji Adejimi Author 2: Surulere Samuel Author 3: Mkolesia Andrew Author 4: Shatalov Michael

The purpose of this research is to perform a comparative numerical analysis of an efficient numerical methods for second-order ordinary differential equations, by reducing the second-order ODE to a system of first-order differential equations. Then we obtain approximate solutions to the system of ODE. To validate the accuracy of the… Read full abstract & cite →

Euler’s method Runge-Kutta method System of ODE Mathematica® AbsoluteTiming

Abstract doi.org/10.14569/IJACSA.2021.0120696 PDF

97

Maneuverable Autonomy of a Six-legged Walking Robot: Design and Implementation using Deep Neural Networks and Hexapod Locomotion

Author 1: Hiep Xuan Huynh Author 2: Nghia Duong-Trung Author 3: Tran Nam Quoc Nguyen Author 4: Bao Hoai Le Author 5: Tam Hung Le

Automatically real-time synthesizing behaviors for a six-legged walking robot pose several exciting challenges, which can be categorized into mechanics design, control software, and the combination of both. Due to the complexity of control-ling and automation, numerous studies choose to gear their attention to a specific aspect of the whole challenge… Read full abstract & cite →

Six-legged walking robot hexapod locomotion Raspberry Pi deep neural networks

Abstract doi.org/10.14569/IJACSA.2021.0120697 PDF

98

Comprehensive Analysis of Augmented Reality Technology in Modern Healthcare System

Author 1: Jinat Ara Author 2: Faria Benta Karim Author 3: Mohammed Saud A Alsubaie Author 4: Yeasin Arafat Bhuiyan Author 5: Muhammad Ismail Bhuiyan Author 6: Salma Begum Bhyan Author 7: Hanif Bhuiyan

The recent advances of Augmented Reality (AR) in healthcare have shown that technology is a significant part of the current healthcare system. In recent days, augmented reality has proposed numerous intelligent applications in the healthcare domain including, wearable access, telemedicine, remote surgery, diagnosis of medical reports, emergency medicine, etc. These… Read full abstract & cite →

Augmented Reality (AR) healthcare applications healthcare challenges AR-based healthcare security issues dy-namic security solution

Abstract doi.org/10.14569/IJACSA.2021.0120698 PDF

99

Identification of Abusive Behavior Towards Religious Beliefs and Practices on Social Media Platforms

Author 1: Tanvir Ahammad Author 2: Md. Khabir Uddin Author 3: Tamanna Yesmin Author 4: Abdul Karim Author 5: Sajal Halder Author 6: Md. Mahmudul Hasan

The ubiquitous use of social media has enabled many people, including religious scholars and priests, to share their religious views. Unfortunately, exploiting people’s religious beliefs and practices, some extremist groups intentionally or unin-tentionally spread religious hatred among different communities and thus hamper social stability. This paper aims to propose an… Read full abstract & cite →

Social media religious abuse detection religious keywords religious hatred feature extraction classifier

Abstract doi.org/10.14569/IJACSA.2021.0120699 PDF

100

Fish Disease Detection System: A Case Study of Freshwater Fishes of Bangladesh

Author 1: Juel Sikder Author 2: Kamrul Islam Sarek Author 3: Utpol Kanti Das

The proposed system is designed for automatic detection and classification of fish diseases in freshwater es-pecially Rangamati Kaptai Lake and Sunamganj Hoar area of Bangladesh. Our experimental result is indicating that the proposed approach is significantly an accurate and automatic detection and recognition of fish diseases. This study presents fish… Read full abstract & cite →

K-means c-means fuzzy logic multi-SVM detection

Abstract doi.org/10.14569/IJACSA.2021.01206100 PDF

101

Improving Data Services of Mobile Cloud Storage with Support for Large Data Objects using OpenStack Swift

Author 1: Aslam B Nandyal Author 2: Mohammed Rafi Author 3: M Siddappa Author 4: Babu B. Sathish

Providing data services support for large file upload and download is increasingly vital for mobile cloud storage. There is an increase in mobile users whose data access trends show more access and large file sharing. It is a challenging task for Mobile Application Developers to handle upload and retrieve large… Read full abstract & cite →

Mobile cloud computing mobile backend as a service large files distributed systems

Abstract doi.org/10.14569/IJACSA.2021.01206101 PDF

102

A Comparative Study of Stand-Alone and Hybrid CNN Models for COVID-19 Detection

Author 1: Wedad Alawad Author 2: Banan Alburaidi Author 3: Asma Alzahrani Author 4: Fai Alflaj

The COVID-19 pandemic continues to impact both the international economy and individual lives. A fast and accurate diagnosis of COVID-19 is required to limit the spread of this disease and reduce the number of infections and deaths. However, a time consuming biological test, Real-Time Reverse Transcription–Polymerase Chain Reaction (RT-PCR), is… Read full abstract & cite →

COVID-19 convolutional neural network hybrid models chest X-Ray deep learning

Abstract doi.org/10.14569/IJACSA.2021.01206102 PDF

103

A Self-adaptive Algorithm for Solving Basis Pursuit Denoising Problem

Author 1: Mengkai Zhu Author 2: Xu Zhang Author 3: Bing Xue Author 4: Hongchun Sun

In this paper, we further consider a method for solving the basis pursuit denoising problem (BPDP), which has received considerable attention in signal processing and statistical inference. To this end, a new self-adaptive algorithm is proposed, its global convergence results is established. Furthermore, we also show that the method is… Read full abstract & cite →

Basis pursuit denoising problem algorithm global convergence sublinearly convergent rate sparse signal recovery

Abstract doi.org/10.14569/IJACSA.2021.01206103 PDF

104

Wheelchair Control System based Eye Gaze

Author 1: Samar Gamal Amer Author 2: Rabie A. Ramadan Author 3: Sanaa A. kamh Author 4: Marwa A. Elshahed

The inability to control the limbs is the main reason that affects the daily activities of the disabled which causes social restrictions and isolation. More studies were performed to help disabilities for easy communication with the outside world and others. Various techniques are designed to help the disabled in carrying… Read full abstract & cite →

Dilip numpy gaze ratio facial landmarks points deep learning

Abstract doi.org/10.14569/IJACSA.2021.01206104 PDF

105

Design and Implementation of a Most Secure Cryptographic Scheme for Lightweight Environment using Elliptic Curve and Trigonohash Technique

Author 1: Bhaskar Prakash Kosta Author 2: PasalaSanyasi Naidu

The Internet of Things (IoT) is a rising development and is an organization of all gadgets that can be gotten to through the web. As a central advancement of the IoT, wireless sensor networks (WSN) can be used to accumulate the vital environment parameters for express applications. In light of… Read full abstract & cite →

Internet of Things (IoT) authentication one way hash function lightweight environment secret key

Abstract doi.org/10.14569/IJACSA.2021.01206105 PDF

106

Detecting Malware Infection on Infrastructure Hosted in Iaas Cloud using Cloud Visibility and Forensics

Author 1: Lama Almadhoor Author 2: A. A. bd El-Aziz Author 3: Hedi Hamdi

Cloud computing has been adopted very rapidly by organizations with different businesses and sizes, the use of cloud services is rising at an unparalleled rate these days especially IaaS services as cloud providers offer more powerful resources with flexible offerings and models. This rapid adoption opens new surface attacks to… Read full abstract & cite →

Malware attacks infrastructure as a service (IaaS) amazon web services (AWS) malware detection cloud forensics visibility

Abstract doi.org/10.14569/IJACSA.2021.01206106 PDF

107

Reputation Measurement based on a Hybrid Sentiment Analysis Approach for Saudi Telecom Companies

Author 1: Bayan Abdullah Author 2: Nouf Alosaimi Author 3: Sultan Almotiri

Thousands of active people on social media daily share their thoughts and opinions about different subjects and different issues. Many social media platforms used to express the feeling or opinion and at top of it is Twitter. On Twitter, many opinions are expressed in many fields such as movies, events… Read full abstract & cite →

Reputation sentiment analysis Arabic language social media

Abstract doi.org/10.14569/IJACSA.2021.01206107 PDF