IJACSA Vol. 13 Issue 1 (2022)

1

Performance Impact of Type-I Virtualization on a NewSQL Relational Database Management System

Author 1: J. Bryan Osborne

For more than 40 years, the relational database management system (RDBMS) and the atomicity, consistency, isolation, durability (ACID) transaction guarantees provided through its use have been the standard for data storage. The advent of Big Data created a need for new storage approaches that led to NoSQL technologies, which rely… Read full abstract & cite →

Database benchmarking NewSQL relational database virtualization

Abstract doi.org/10.14569/IJACSA.2022.0130101 PDF

2

Knock Knock, Who’s There: Facial Recognition using CNN-based Classifiers

Author 1: Qiyu Sun Author 2: Alexander Redei

Artificial intelligence (AI) has captured the public’s imagination. Performance gains in computing hardware, and the ubiquity of data have enabled new innovations in the field. In 2014, Facebook’s DeepFace AI took the facial recognition industry by storm with its splendid performance on image recognition. While newer models exist, DeepFace was… Read full abstract & cite →

Face recognition deep learning convolutional neu-ral networks DeepFace

Abstract doi.org/10.14569/IJACSA.2022.0130102 PDF

3

Design of Smart IoT Device for Monitoring Short-term Exposure to Air Pollution Peaks

Author 1: Eric Nizeyimana Author 2: Jimmy Nsenga Author 3: Ryosuke Shibasaki Author 4: Damien Hanyurwimfura Author 5: JunSeok Hwang

Air pollution spikes have been causing harm to human beings and the environment. Most exposure to Air pollution spikes has demonstrated a significant impact on mental health, especially children at an early age. That lead to suicide or depression. Previous research concentrated on air pollution in general. Existing monitoring systems… Read full abstract & cite →

Short-duration air pollution peak/spike real-time monitoring short-term prediction immutable data blockchain AI

Abstract doi.org/10.14569/IJACSA.2022.0130103 PDF

4

Robust Facial Recognition System using One Shot Multispectral Filter Array Acquisition System

Author 1: M. Eléonore Elvire HOUSSOU Author 2: A. Tidjani SANDA MAHAMA Author 3: Pierre GOUTON Author 4: Guy DEGLA

Face recognition in the visible and Near Infrared range has received a lot of attention in recent years. The current Multispectral (MS) imaging systems used for facial recognition are based on multiple cameras having multiple sensors. These acquisition systems are normally slow because they take one MS image in several… Read full abstract & cite →

Multispectral image database multispectral imaging multispectral filter array (MSFA) one-shot camera facial recognition system

Abstract doi.org/10.14569/IJACSA.2022.0130104 PDF

5

Detecting Distributed Denial of Service in Network Traffic with Deep Learning

Author 1: Muhammad Rusyaidi Author 2: Sardar Jaf Author 3: Zunaidi Ibrahim

COVID-19 has altered the way businesses throughout the world perceive cyber security. It resulted in a series of unique cyber-crime-related conditions that impacted society and business. Distributed Denial of Service (DDoS) has dramatically increased in recent year. Automated detection of this type of attack is essential to protect business assets… Read full abstract & cite →

Cybersecurity Cyber-attack DDoS attack machine learning deep learning recurrent neural networks long short-term memory

Abstract doi.org/10.14569/IJACSA.2022.0130105 PDF

6

Proficient Networking Protocol for BPLC Network Built on Adaptive Multicast, PNP-BPLC

Author 1: Ali Md Liton Author 2: Zhi Ren Author 3: Dong Ren Author 4: Xin Su

In order to solve the problems of the existing broadband power line carrier communication standard IEEE1901.1 data link layer protocol network, multiple primary nodes receiving the beacon will send connotation entreaty message, and CCO will send an association sanction message proximately after receiving the message to confirm their character the… Read full abstract & cite →

Powerline communication network delay control overhead central coordinator

Abstract doi.org/10.14569/IJACSA.2022.0130106 PDF

7

Method for Improvement of Ocean Wind Speed Estimation Accuracy by Taking into Account the Relation between Wind Speed and Wind Direction

Author 1: Kohei Arai Author 2: Kenta Azuma

A method for improvement of ocean wind speed estimation accuracy by taking into account the relation between wind speed and wind direction is proposed. Brightness temperature observed with microwave radiometer onboard satellite is modified with microwave radiometer derived wind direction proposed by Frank Wentz. Using the modified brightness temperature, more… Read full abstract & cite →

Sea surface wind speed (WS) advanced microwave scanning radiometer for erath observing system (AMSR-E) NCEP Global Data Assimilation System (GDAS) relative wind direction (RWD)

Abstract doi.org/10.14569/IJACSA.2022.0130107 PDF

8

A Study of Security Impacts and Cryptographic Techniques in Cloud-based e-Learning Technologies

Author 1: Lavanya-Nehan Degambur Author 2: Sheeba Armoogum Author 3: Sameerchand Pudaruth

e-Learning has transposed the perception of teaching and learning considering knowledge delivery and knowledge acquirement. Today, e-learning participants access and upload their materials at any time and at any place since e-learning technologies are typically hosted on the cloud. Cloud computing has embellished the base platform for the future of… Read full abstract & cite →

e-Learning cloud computing data management pseudonymization data deduplication

Abstract doi.org/10.14569/IJACSA.2022.0130108 PDF

9

Various Antenna Structures Performance Analysis based Fuzzy Logic Functions

Author 1: Chafaa Hamrouni Author 2: Aarif Alutaybi Author 3: Slim Chaoui

The antenna is a critical component of the communication system. The antenna is used in wireless communication for signal transmission and reception over long distances. There are numerous sorts of antennas, such as wire antennas, traveling wave antennas, reflector antennas, microstrip antennas, and so on. The application of antennas is… Read full abstract & cite →

Antenna antenna element function fuzzy logic function fuzzy inference system Matlab Simulink

Abstract doi.org/10.14569/IJACSA.2022.0130109 PDF

10

Empirical Analysis Measuring the Performance of Multi-threading in Parallel Merge Sort

Author 1: Muhyidean Altarawneh Author 2: Umur Inan Author 3: Basima Elshqeirat

Sorting is one of the most frequent concerns in Computer Science, various sorting algorithms were invented for specific requirements. As these requirements and capabilities grow, sequential processing becomes inefficient. Therefore, algorithms are being enhanced to run in parallel to achieve better performance. Performing algorithms in parallel differ depending on the… Read full abstract & cite →

Parallel merge sort sort multithread degree of multithreading

Abstract doi.org/10.14569/IJACSA.2022.0130110 PDF

11

Special Negative Database (SNDB) for Protecting Privacy in Big Data

Author 1: Tamer Abdel Latif Ali Author 2: Mohamed Helmy Khafagy Author 3: Mohamed Hassan Farrag

Despite the importance of big data, it faces many challenges. The most important big data challenges are data storage, heterogeneity, inconsistency, timeliness, security, scalability, visualization, fault tolerance, and privacy. This paper concentrates on privacy which is one of the most pressing issues with big data. As mentioned in the Literature… Read full abstract & cite →

Big data big data challenges privacy violations privacy-preserving techniques special negative database data integrity

Abstract doi.org/10.14569/IJACSA.2022.0130111 PDF

12

Drug Sentiment Analysis using Machine Learning Classifiers

Author 1: Mohammed Nazim Uddin Author 2: Md. Ferdous Bin Hafiz Author 3: Sohrab Hossain Author 4: Shah Mohammad Mominul Islam

In recent times, one of the most emerging sub-dimensions of natural language processing is sentiment analysis which refers to analyzing opinion on a particular subject from plain text. Drug sentiment analysis has become very significant in present times as classifying medicines based on their effectiveness through analyzing reviews from users… Read full abstract & cite →

Machine Learning Algorithms natural language processing drugs sentiment analysis text mining

Abstract doi.org/10.14569/IJACSA.2022.0130112 PDF

13

Effective Malware Detection using Shapely Boosting Algorithm

Author 1: Rajesh Kumar Author 2: Geetha S

Malware constitutes a prime exploitation tool to attack the vulnerabilities in software that lead to a threat to security. The number of malware gets generated as exploitation tools need effective methods to detect them. Machine learning methods are effective in detecting malware. The effectiveness of machine learning models can be… Read full abstract & cite →

Artificial intelligence machine learning malware detection shapely value decision plot waterfall plot

Abstract doi.org/10.14569/IJACSA.2022.0130113 PDF

14

Using a Rule-based Model to Detect Arabic Fake News Propagation during Covid-19

Author 1: Fatimah L. Alotaibi Author 2: Muna M. Alhammad

Since the emergence of the Covid-19, both factual and false information about the new virus has been disseminated. Fake news harms societies and must be combated. This research aims to identify Arabic fake news tweets and classify them into six categories: entertainment, health, politics, religious, social, and sports. The study… Read full abstract & cite →

Fake news Covid-19 text classification rule-based system trends

Abstract doi.org/10.14569/IJACSA.2022.0130114 PDF

15

Hybrid Deep Neural Network Model for Detection of Security Attacks in IoT Enabled Environment

Author 1: Amit Sagu Author 2: Nasib Singh Gill Author 3: Preeti Gulia

The extensive use of Internet of Things (IoT) appliances has greatly contributed in the growth of smart cities. Moreover, the smart city deploys IoT-enabled applications, communications, and technologies to improve the quality of life, people’s wellbeing, quality of services for the service providers and increase the operational efficiency. Nevertheless, the… Read full abstract & cite →

Internet of things deep learning optimization convolutional neural network security attack detection

Abstract doi.org/10.14569/IJACSA.2022.0130115 PDF

16

A Node Monitoring Agent based Handover Mechanism for Effective Communication in Cloud-Assisted MANETs in 5G

Author 1: B. V.S Uma Prathyusha Author 2: K.Ramesh Babu

As nodes often join or leave the network, the communication between the cloud and the MANET remains unreliable in Cloud-Assisted MANET. The event of connection failure in MANET presents several challenges to the network, in particular, the handover issue and high energy consumption during route re-establishment if a connection fails… Read full abstract & cite →

MANET clustering cloud computing 5G Wireless networks cloud-assisted MANET

Abstract doi.org/10.14569/IJACSA.2022.0130116 PDF

17

Design of an Intelligent Hydroponics System to Identify Macronutrient Deficiencies in Chili

Author 1: Deffa Rahadiyan Author 2: Sri Hartati Author 3: Wahyono Author 4: Andri Prima Nugroho

Nutrient contents are important for plants. Lack of macronutrients causes plant damage. Several macronutrient deficiencies exhibit similar visual characteristics that are difficult for ordinary farmers to identify. Collaboration between Computer Vision technology and IoT has become a non-destructive method for nutrient monitoring and control, included in the hydroponic system. Computer… Read full abstract & cite →

Multi Layer perceptron internet of things feature combination leaf image nutrient deficiency

Abstract doi.org/10.14569/IJACSA.2022.0130117 PDF

18

Automatic Fake News Detection based on Deep Learning, FastText and News Title

Author 1: Youssef Taher Author 2: Adelmoutalib Moussaoui Author 3: Fouad Moussaoui

As a range of daily phenomena, Fake News is quickly becoming a longstanding issue affecting individuals, public and private sectors. This major challenge of the connected and modern world can cause many severe and real damages such as manipulating public opinion, damaging reputations, contributing to the loss in stock market… Read full abstract & cite →

Fake news automatic detection deep learning FastText news title

Abstract doi.org/10.14569/IJACSA.2022.0130118 PDF

19

Determine the Level of Concentration of Students in Real Time from their Facial Expressions

Author 1: Bouhlal Meriem Author 2: Habib Benlahmar Author 3: Mohamed Amine Naji Author 4: Elfilali Sanaa Author 5: Kaiss Wijdane

In teaching environments, student facial expressions are a clue to the traditional classroom teacher in gauging students' level of concentration in the course. With the rapid development of information technology, e-learning will take off because students can learn anytime, anywhere and anytime they feel comfortable. And this gives the possibility… Read full abstract & cite →

Emotion recognition level of concentration transfer learning data augmentation

Abstract doi.org/10.14569/IJACSA.2022.0130119 PDF

20

Medical Image Cryptanalysis using Adaptive, Lightweight Neural Network based Algorithm for IoT based Secured Cloud Storage

Author 1: M V Narayana Author 2: Ch Subba Lakshmi Author 3: Rishi Sayal

Currently available modern medical system generates large amounts of data, such as computerized patient data and digital medical pictures, which must be kept securely for future reference. Existing storage technologies are not capable of storing large amounts of data efficiently. It is a key and abrogating topic of specialized, social… Read full abstract & cite →

Cloud storage IoT medical image neural network

Abstract doi.org/10.14569/IJACSA.2022.0130120 PDF

21

Analysis of Logistics Service Quality and Customer Satisfaction during COVID-19 Pandemic in Saudi Arabia

Author 1: Amjaad Bahamdain Author 2: Zahyah H. Alharbi Author 3: Muna M. Alhammad Author 4: Tahani Alqurashi

Logistics companies' success is inextricably linked to the quality of their services, particularly when dealing with customer issues. Nowadays, social media is the first place that users turn to in order to express their thoughts on services or to communicate with customer service representatives to resolve problems. Businesses can retrieve… Read full abstract & cite →

Logistics services sentiment analysis lexicon-based approach SVM sentiment classification

Abstract doi.org/10.14569/IJACSA.2022.0130121 PDF

22

Investigate the Ensemble Model by Intelligence Analysis to Improve the Accuracy of the Classification Data in the Diagnostic and Treatment Interventions for Prostate Cancer

Author 1: Abdelrahman Elsharif Karrar

Class imbalance problem become greatest issue in data mining, imbalanced data appears in daily application, especially in the health care. This research aims at investigating the application of ensemble model by intelligence analysis to improving the classification accuracy of imbalanced data sets on prostate cancer. The primary requirements obtained for… Read full abstract & cite →

Ensemble model intelligence analysis classification of imbalanced data prostate cancer

Abstract doi.org/10.14569/IJACSA.2022.0130122 PDF

23

Dynamic Deployment of Road Side Units for Reliable Connectivity in Internet of Vehicles

Author 1: Abdulwahab Ali Almazroi Author 2: Muhammad Ahsan Qureshi

Internet of vehicles (IoV) promises to provide ubiquitous information exchange among moving vehicles and reliable connectivity to the internet. Therefore, IoV is becoming more and more popular as the number of connected vehicles is increasing. However, the existing vehicular communication infrastructure cannot guarantee reliable connectivity because all-time information exchange for… Read full abstract & cite →

VANET Roadside unit internet of vehicle social internet of vehicles unmanned aerial vehicle line of sight vehicular communication

Abstract doi.org/10.14569/IJACSA.2022.0130123 PDF

24

Customer Satisfaction with Digital Wallet Services: An Analysis of Security Factors

Author 1: Dewan Ahmed Muhtasim Author 2: Siok Yee Tan Author 3: Md Arif Hassan Author 4: Monirul Islam Pavel Author 5: Samiha Susmit

This study aimed to determine an efficient framework that caters to the security and consumer satisfaction for digital wallet systems. A quantitative online survey was carried out to test whether the six factors (i.e., transaction speed, authentication, encryption mechanisms, software performance, privacy details, and information provided) positively or negatively impact… Read full abstract & cite →

Cashless transaction electronic payment internet security consumer satisfaction e-commerce

Abstract doi.org/10.14569/IJACSA.2022.0130124 PDF

25

Towards a Strategic IT GRC Framework for Healthcare Organizations

Author 1: Fawaz Alharbi Author 2: Mohammed Nour A. Sabra Author 3: Nawaf Alharbe Author 4: Abdulrahman A. Almajed

The rapidly changing healthcare market requires healthcare institutions to adjust their operations to address regulatory, strategic, and other risks. Healthcare organizations use a wide range of IT systems producing large amounts of sensitive and confidential data. However, few tools are available to measure the data governance activities of healthcare institutions… Read full abstract & cite →

Information technlogy strategic healthcare governance compliance

Abstract doi.org/10.14569/IJACSA.2022.0130125 PDF

26

Ambulatory Monitoring of Maternal and Fetal using Deep Convolution Generative Adversarial Network for Smart Health Care IoT System

Author 1: S. Venkatasubramanian

With the increase in the number of high-risk pregnancies, it is important to monitor the health of the fetus during pregnancy. Major advances in the field of study have led to the development of intelligent automation systems that enable clinicians to predict and determine the monitoring of Maternal and Fetal… Read full abstract & cite →

Deep convolutional generative adversarial network fetal health monitoring high-risk pregnancies internet of things smart healthcare system

Abstract doi.org/10.14569/IJACSA.2022.0130126 PDF

27

Periapical Radiograph Texture Features for Osteoporosis Detection using Deep Convolutional Neural Network

Author 1: Khasnur Hidjah Author 2: Agus Harjoko Author 3: Moh. Edi Wibowo Author 4: Rurie Ratna Shantiningsih

Currently, research for osteoporosis examination using dental radiographic images is increasing rapidly. Many researchers have used various methods from subject data. It indicates that osteoporosis has become a widespread disease that should be studied more deeply. This study proposes a deep Convolutional Neural Network architecture as a texture feature of… Read full abstract & cite →

Osteoporosis dental periapical radiograph convolutional neural network texture features bone mineral density

Abstract doi.org/10.14569/IJACSA.2022.0130127 PDF

28

Prediction of Diabetic Obese Patients using Fuzzy KNN Classifier based on Expectation Maximization, PCA and SMOTE Algorithms

Author 1: Ibrahim Eldesouky Fattoh Author 2: Soha Safwat

Diabetes is a long-term disease. Inappropriate blood sugar level control in diabetic patients can lead to serious issues like kidney and heart diseases. Obesity is widely regarded as a major risk factor for type 2 diabetes. In this research, a model proposed to predict diabetic obese patients based on Expectation… Read full abstract & cite →

KNN classifier SMOTE PCA diabetic obese patients

Abstract doi.org/10.14569/IJACSA.2022.0130128 PDF

29

Evaluation Optimal Prediction Performance of MLMs on High-volatile Financial Market Data

Author 1: Yao HongXing Author 2: Hafiz Muhammad Naveed Author 3: Muhammad Usman Answer Author 4: Bilal Ahmed Memon Author 5: Muhammad Akhtar

The present study evaluates the prediction performance of the multi-machine learning models (MLMs) on high-volatile financial markets data sets since 2007 to 2020. The linear and nonlinear empirical data sets are comprised on stock price returns of Karachi stock exchange (KSE) 100-Index of Pakistan and currencies exchange rates of Pakistani… Read full abstract & cite →

Support vector regression random forest machine learning-linear regression model optimal prediction performance currencies exchange rates stock price returns

Abstract doi.org/10.14569/IJACSA.2022.0130129 PDF

30

Optimize and Secure Routing Protocol for Multi-hop Wireless Network

Author 1: Salwa Othmen Author 2: Wahida Mansouri Author 3: Somia Asklany Author 4: Wided Ben Daoud

Multi-hop Wireless Network (MWN) requires the existing of wireless nodes that communicate via a wireless channel. Thus, selecting optimal paths between the communicant nodes is a major challenge. Many researchers are focusing on this topic and proposed some routing protocols that help the nodes to learn multi-hop paths. Multi-hop wireless… Read full abstract & cite →

Mutli-hop wireless network routing protocol Diffie-Hellman Weil Pairing NS2

Abstract doi.org/10.14569/IJACSA.2022.0130130 PDF

31

A Machine Learning Approach to Weather Prediction in Wireless Sensor Networks

Author 1: Suvarna S Patil Author 2: B.M.Vidyavathi

Weather prediction is the key requirement to save many lives from environmental disasters like landslides, earthquake, flood, forest fire, tsunami etc. Disaster monitoring and issuing forewarning to people, living in disaster-prone places, can help protect lives. In this paper, the Multiple Linear Regression (MLR) model is proposed for humidity prediction… Read full abstract & cite →

Data mining wireless sensor network multiple linear regression outliers treatment r-square adjusted r-square

Abstract doi.org/10.14569/IJACSA.2022.0130131 PDF

32

Detecting Diabetic Retinopathy in Fundus Images using Combined Enhanced Green and Value Planes (CEGVP) with k-NN

Author 1: Minal Hardas Author 2: Sumit Mathur Author 3: Anand Bhaskar

Diabetic Retinopathy (DR) is a disease that causes damage to the blood vessels of the retina, especially in patients having high uncontrolled blood sugar levels, which may lead to complications in the eyes or loss of vision. Thus, early detection of DR is essential to avoid complete blindness. The automatic… Read full abstract & cite →

Combined enhanced green and value plane diabetic retinopathy fundus image image processing k-NN principal component analysis

Abstract doi.org/10.14569/IJACSA.2022.0130132 PDF

33

A Novel Secure Transposition Cipher Technique using Arbitrary Zigzag Patterns

Author 1: Basil Al-Kasasbeh

Symmetric cipher cryptography is an efficient technique for encrypting bits and letters to maintain secure communication and data confidentiality. Compared to asymmetric cipher cryptography, symmetric cipher has the speed advantage required for various real-time applications. Yet, with the distribution of micro-devices and the wider utilization of the Internet of Things… Read full abstract & cite →

Cryptography symmetric cipher block cipher transposition algorithms

Abstract doi.org/10.14569/IJACSA.2022.0130133 PDF

34

Feature Concatenation based Multilayered Sparse Tensor for Debond Detection Optical Thermography

Author 1: Junaid Ahmed Author 2: Abdul Baseer Author 3: Guiyun Tian Author 4: Gulsher Baloch Author 5: Ahmed Ali Shah

Composites being the key ingredients of the manufacturing in the aerospace, aircraft, civil and related industries, it is quite important to check its quality and health during its manufacture or in service. The most commonly found problem in the CFRPs is debonding. As debonds are subsurface defects, the general methods… Read full abstract & cite →

Improved tensor nuclear norm low-rank decomposition concatenated feature space optical thermography

Abstract doi.org/10.14569/IJACSA.2022.0130134 PDF

35

Unmoderated Remote Usability Testing: An Approach during Covid-19 Pandemic

Author 1: Ambar Relawati Author 2: Guntur Maulana Zamroni Author 3: Yanuar Primanda

Online Nurse Test for Indonesian Nurse Competency (ONT UKNI) is a mobile application that was developed to help increase the success rate of nurse competency test participants. By using this application, users can learn more about the materials tested and conduct try out as a competency test simulation. However, ONT… Read full abstract & cite →

Mobile learning nurse competency test unmoderated remote testing usability

Abstract doi.org/10.14569/IJACSA.2022.0130135 PDF

36

4PCDT: A Quantifiable Parameter-based Framework for Academic Software Project Management

Author 1: Vikas S. Chomal Author 2: Jatinderkumar R. Saini Author 3: Hema Gaikwad Author 4: Ketan Kotecha

Many authorities like Project Management Body of Knowledge (PMBOK) and Capability Maturity Model Integration for Development (CMMI-Dev) lend a hand to software development organizations in management of their crucial projects. Though this area needs focused research, such models are not dedicatedly available for the academic projects developed by students of… Read full abstract & cite →

Academic CMMI-Dev PMBOK project management software project student

Abstract doi.org/10.14569/IJACSA.2022.0130136 PDF

37

Neuromarketing Solutions based on EEG Signal Analysis using Machine Learning

Author 1: Asad Ullah Author 2: Gulsher Baloch Author 3: Ahmed Ali Author 4: Abdul Baseer Buriro Author 5: Junaid Ahmed Author 6: Bilal Ahmed Author 7: Saba Akhtar

Marketing campaigns that promote and market various consumer products are a well-known strategy for increasing sales and market awareness. This simply means the profit of a manufacturing unit would increase. "Neuromarketing" refers to the use of unconscious mechanisms to determine customer preferences for decision-making and behavior prediction. In this work… Read full abstract & cite →

Electroencephalogram (EEG) brain-computer interface neuromarketing machine learning artificial neural networks

Abstract doi.org/10.14569/IJACSA.2022.0130137 PDF

38

Tomato Leaf Disease Detection using Deep Learning Techniques

Author 1: Nagamani H S Author 2: Sarojadevi H

Plant diseases cause low agricultural productivity. Plant diseases are challenging to control and identify by the majority of farmers. In order to reduce future losses, early disease diagnosis is necessary. This study looks at how to identify tomato plant leaf disease using machine learning techniques, including the Fuzzy Support Vector… Read full abstract & cite →

Fuzzy Support Vector Machine (SVM) Convolution Neural Network (CNN) Region-based Convolution Neural Network (R-CNN) color thresholding flood filling

Abstract doi.org/10.14569/IJACSA.2022.0130138 PDF

39

Feature Selection Pipeline based on Hybrid Optimization Approach with Aggregated Medical Data

Author 1: Palwinder Kaur Author 2: Rajesh Kumar Singh

For quite some time, the usage of many sources of data (data fusion) and the aggregation of that data have been underappreciated. For the purposes of this study, trials using several medical datasets were conducted, with the results serving as a single aggregated source for identifying eye illnesses. It is… Read full abstract & cite →

Content-based image retrieval system CLAHE Gabor filter Cuckoo search LION optimization support vector machine

Abstract doi.org/10.14569/IJACSA.2022.0130139 PDF

40

Educational Data Mining to Identify the Patterns of Use made by the University Professors of the Moodle Platform

Author 1: Johan Calderon-Valenzuela Author 2: Keisi Payihuanca-Mamani Author 3: Norka Bedregal-Alpaca

Due to the events caused by the COVID-19 pandemic and social distancing measures, learning management systems have gained importance, preserving quality standards, they can be used to implement remote education or as support for face-to-face education. Consequently, it is important to know how teachers and students use them. In this… Read full abstract & cite →

Clustering educational data mining moodle usage patterns k-means algorithm a priori algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130140 PDF

41

Assessing the Quality of Educational Websites in Sudan using Quality Model Criteria through an Electronic Tool

Author 1: Asim Seedahmed Ali Osman

The application of internet has grown in recent years. Due to this, there is an increase in the number of websites which creates diversity in the services. This leads the researchers to do more research in the quality of websites in order to set standards and models to maintain its… Read full abstract & cite →

Website quality e-websites education information technology PHP language

Abstract doi.org/10.14569/IJACSA.2022.0130141 PDF

42

Secure Inter-Domain Routing for Resisting Unknown Attacker in Internet-of-Things

Author 1: Bhavana A Author 2: Nanda Kumar A N

With an increasing adoption of Internet-of-Things (IoT) over massively connected device, there is a raising security concern. Review of existing security schemes in IoT shows that there is a significant trade-off due to non-adoption of inter-domain routing scheme over larger domain of heterogeneous nodes in an Internet of Things (IoT)… Read full abstract & cite →

Internet-of-things security inter-domain routing gateway node attacker

Abstract doi.org/10.14569/IJACSA.2022.0130142 PDF

43

Snowball Framework for Web Service Composition in SOA Applications

Author 1: Mohamed Elkholy Author 2: Youcef Baghdadi Author 3: Marwa Marzouk

Service Oriented Architecture (SOA) has emerged as a promising architectural style that provides software applications with high level of flexibility and reusability. However, in several cases where legacy software components are wrapped to be used as web services the final solution does not completely satisfy the SOA aims of flexibility… Read full abstract & cite →

Service oriented architecture (SOA) web service granularity web service composition software flexibility snowball composition framework

Abstract doi.org/10.14569/IJACSA.2022.0130143 PDF

44

Selection of Requirement Elicitation Techniques: A Neural Network based Approach

Author 1: Mohd Muqeem Author 2: Sultan Ahmad Author 3: Jabeen Nazeer Author 4: Md. Faizan Farooqui Author 5: Afroj Alam

Requirement Elicitation is key activity of requirement engineering and has a strong impact on design and other phases of software development life cycle. Poor requirement engineering practices lead to project failure. A sound requirement elicitation process is the foundation for the overall quality of software product. Due to criticality and… Read full abstract & cite →

Requirement elicitation requirement engineering neural network back propagation

Abstract doi.org/10.14569/IJACSA.2022.0130144 PDF

45

The Performance of Personality-based Recommender System for Fashion with Demographic Data-based Personality Prediction

Author 1: Iman Paryudi Author 2: Ahmad Ashari Author 3: Khabib Mustofa

Currently, the common method to predict personality implicitly (Implicit Personality Elicitation) is Personality Elicitation from Text (PET). PET predicts personality implicitly based on statuses written on social media. The weakness of this method when applied to a recommender system is the requirement to have minimal one social media account. A… Read full abstract & cite →

Implicit personality elicitation demographic data personality-based recommender system personality trait

Abstract doi.org/10.14569/IJACSA.2022.0130145 PDF

46

A Greedy-based Algorithm in Optimizing Student’s Recommended Timetable Generator with Semester Planner

Author 1: Khyrina Airin Fariza Abu Samah Author 2: Siti Qamalia Thusree Author 3: Ahmad Firdaus Ahmad Fadzil Author 4: Lala Septem Riza Author 5: Shafaf Ibrahim Author 6: Noraini Hasan

Semester planner plays an essential role in students’ society that might help students have self-discipline and determination to complete their studies. However, during the COVID-19 pandemic, they faced difficulty organizing time management and doing a manual schedule. It resulted in substantial disruptions in learning, internal assessment disturbances, and the cancellation… Read full abstract & cite →

Greedy algorithm optimization recommendation system semester planner

Abstract doi.org/10.14569/IJACSA.2022.0130146 PDF

47

Development of an Efficient Electricity Consumption Prediction Model using Machine Learning Techniques

Author 1: Ghaidaa Hamad Alraddadi Author 2: Mohamed Tahar Ben Othman

Electricity consumption has continued to go up rapidly to follow the rapid growth of the economy. Therefore, detecting anomalies in buildings' energy data is considered one of the most essential techniques to detect anomalous events in buildings. This paper aims to optimize the electricity consumption in households by forecasting the… Read full abstract & cite →

Anomalies detection deep learning electricity consumption forecasting LSTM

Abstract doi.org/10.14569/IJACSA.2022.0130147 PDF

48

Critical Review of Technology-Enhanced Learning using Automatic Content Analysis

Author 1: Amalia Rahmah Author 2: Harry B. Santoso Author 3: Zainal A. Hasibuan

Technology-enhanced learning (TEL) continues to grow gradually while considering a multitude of factors, which underpins the need to develop a TEL maturity assessment as a guideline for this gradual improvement. This study investigates the potential application of TEL’s expert knowledge presented in various research articles as qualitative data for developing… Read full abstract & cite →

Automatic content analysis ACA assessment questionnaire concept facet analysis key terms Leximancer systematic literature review SLR technology-enhanced learning TEL text analysis theme

Abstract doi.org/10.14569/IJACSA.2022.0130148 PDF

49

A Knowledge-based Expert System for Supporting Security in Software Engineering Projects

Author 1: Ahmad Azzazi Author 2: Mohammad Shkoukani

Building secure software systems requires the intersection between two engineering disciplines, software engineering and security engineering. There is a lack of a defined security mechanism for each of the software development phases, which affects the quality of the software system intensively. In this paper, the authors are proposing a framework… Read full abstract & cite →

Knowledge-based systems security engineering software development process expert systems

Abstract doi.org/10.14569/IJACSA.2022.0130149 PDF

50

Performance Comparison between Lab-VIEW and MATLAB on Feature Matching-based Speech Recognition System

Author 1: Edita Rosana Widasari Author 2: Barlian Henryranu Prasetio Author 3: Dian Eka Ratnawati

Speech recognition systems are widely used for smart applications. The smart application-based speech recognition system has different requirements for processing the human voice. The most common performance in the speech recognition system is essential to observe, since it is necessary to design smart application-based speech recognition systems for people's needs… Read full abstract & cite →

Speech articulation feature matching Lab-VIEW MATLAB

Abstract doi.org/10.14569/IJACSA.2022.0130150 PDF

51

A New Priority Rule for Initial Ordering of Jobs in Permutation Flowshop Scheduling Problems

Author 1: B. Dhanasakkaravarthi Author 2: A. Krishnamoorthy

Scheduling in a permutation flowshop refers to processing of jobs in a set of available machines in the same order. Among the several possible performance characteristics of a flowshop, makespan remains one of the highest preferred metrics by researchers in the past six decades. The constructive heuristic proposed by Nawaz-Enscore-Ham… Read full abstract & cite →

Priority rule flowshop scheduling makespan NEH algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130151 PDF

52

Preserving Location Privacy in the IoT against Advanced Attacks using Deep Learning

Author 1: Abdullah S. Alyousef Author 2: Karthik Srinivasan Author 3: Mohamad Shady Alrahhal Author 4: Majdah Alshammari Author 5: Mousa Al-Akhras

Location-based services (LBSs) have received a significant amount of recent attention from the research community due to their valuable benefits in various aspects of society. In addition, the dependency on LBS in the performance of daily tasks has increased dramatically, especially after the spread of the COVID-19 pandemic. LBS users… Read full abstract & cite →

LBS dummy deep-learning attacks accuracy resistance performance

Abstract doi.org/10.14569/IJACSA.2022.0130152 PDF

53

A Conceptual User Experience Evaluation Model on Online Systems

Author 1: Norhanisha Yusof Author 2: Nor Laily Hashim Author 3: Azham Hussain

An online system has become a priority for organisations or companies in many countries, as it allows many processes to be conducted via online platforms, which contributes to profit gain. There are different types of user experience (UX) evaluation models that have been proposed to guide the measurement and development… Read full abstract & cite →

User experience UX evaluation UX model online system conceptual model

Abstract doi.org/10.14569/IJACSA.2022.0130153 PDF

54

Applying Artificial Intelligence in Retrieving Design Solution

Author 1: Y. Moubachir Author 2: B. Hamri Author 3: S. Taibi

Design is a very important step in the product life cycle, because it is generally the key for the success or the failure of the product. The field of design theories and methodologies is fill with theories and methods that have been taught and developed throughout the years. Most of… Read full abstract & cite →

Artificial intelligence ANN design methodologies DFX morphological analysis

Abstract doi.org/10.14569/IJACSA.2022.0130154 PDF

55

State-of-the-Art Approach to e-Learning with Cutting Edge NLP Transformers: Implementing Text Summarization, Question and Distractor Generation, Question Answering

Author 1: Spandan Patil Author 2: Lokshana Chavan Author 3: Janhvi Mukane Author 4: Deepali Vora Author 5: Vidya Chitre

Amid the worldwide wave of pandemic lockdowns, there has been a remarkable growth in E-learning. Online learning has become a challenge for students. It has become difficult for students to find the content they need. The mounting accessibility of textual content has necessitated comprehensive study in the areas of automatic… Read full abstract & cite →

Machine intelligence natural language processing neural networks predictive models text processing

Abstract doi.org/10.14569/IJACSA.2022.0130155 PDF

56

A Regression Model to Predict Key Performance Indicators in Higher Education Enrollments

Author 1: Ashraf Abdelhadi Author 2: Suhaila Zainudin Author 3: Nor Samsiah Sani

Key Performance Indicators (KPIs) are essential factors for the success of an organization. KPIs measure the current performance and identify the ongoing progress for specified business objectives. The Ministry of Higher Education (MoHE) in Palestine used established formulas to predict the KPI. These KPIs are vital for charting the organization… Read full abstract & cite →

Data mining KPI regression higher education prediction model

Abstract doi.org/10.14569/IJACSA.2022.0130156 PDF

57

A Novel Stance based Sampling for Imbalanced Data

Author 1: Isha Agarwal Author 2: Dipti Rana Author 3: Aemie Jariwala Author 4: Sahil Bondre

While the world is suffering from coronavirus pandemic (COVID-19), a parallel battle with Infodemic, the proliferation of fake news online is also taking place. The spread of fake news during this global pandemic COVID-19 has dangerous consequences. This is the driving force behind this study. Relying on incorrect information obtained… Read full abstract & cite →

Fake news healthcare sampling stance COVID-19 imbalance

Abstract doi.org/10.14569/IJACSA.2022.0130157 PDF

58

Energy Efficient and Quality-of-Service Aware Routing using Underwater Wireless Sensor Networks

Author 1: P. Sathya Author 2: P. Sengottuvelan

In current years, there has been an increasing attention in Underwater wireless sensor networks (UWSNs). Underwater sensor networks (USNs) can be applied for many various purposes. To address the routing issue, the Cuckoo Search Optimization Algorithm with Energy Efficient and QOS Aware (CSOA-EQ) based routing methods have been proposed in… Read full abstract & cite →

Underwater wireless sensor networks (UWSNs) QOS aware (CSOA-EQ) underwater environments

Abstract doi.org/10.14569/IJACSA.2022.0130158 PDF

59

The Trend of Segmentation for Arabic Handwritten Touching Characters

Author 1: Ahmed Mansoor Mohsen Algaradi Author 2: Mohd Sanusi Azmi Author 3: Intan Ermahani A. Jalil Author 4: Abdulwahab Fuad Ayyash Hashim Author 5: Afrah Abdullah Muhammad Al-Malki

The paper is a comprehensive study of existing research trends in the sector of Arabic language, with a focus on state-of-the-art methods to illustrate the existing condition of various theory in that sector, with the goal of facilitating the adaptation and extension of prior ones into new systems and applications… Read full abstract & cite →

Component character segmentation Arabic handwritten character touching recognition

Abstract doi.org/10.14569/IJACSA.2022.0130159 PDF

60

What Influences Customer’s Trust on Online Social Network Sites (SNSs) Sellers?

Author 1: Ramona Ramli Author 2: Asmidar Abu Bakar Author 3: Fiza Abdul Rahim

Customer trust has been recognized as an essential part of the rising trend of social commerce. Lack of trust facilitates the hesitation of customers to shop online or to avoid them completely. Therefore, it is essential to implement and analyze a way of buyer-seller relationship establishment that will improve customers'… Read full abstract & cite →

Online commerce trust social commerce multi-criteria decision–making

Abstract doi.org/10.14569/IJACSA.2022.0130160 PDF

61

New Textual Authentication Method to Resistant Shoulder-Surfing Attack

Author 1: Islam Abdalla Mohamed Abass Author 2: Loay F.Hussein Author 3: Tarak kallel Author 4: Anis Ben Aissa

Using textual passwords suffer from the balance between security and usability. Password policies are usually adopted by system administrators to force users to choose strong passwords. However, users often use a simple password to make it easy to remember, which reduces the password strength and make it vulnerable to information… Read full abstract & cite →

Shoulder surfing caesar cipher virtual keyboard graphical password social engineering

Abstract doi.org/10.14569/IJACSA.2022.0130161 PDF

62

CovSeg-Unet: End-to-End Method-based Computer-Aided Decision Support System in Lung COVID-19 Detection on CT Images

Author 1: Fatima Zahra EL BIACH Author 2: Imad IALA Author 3: Hicham LAANAYA Author 4: Khalid MINAOUI

COVID-19 epidemic continues to threaten public health with the appearance of new, more severe mutations, and given the delay in the vaccination process, the situation becomes more complex. Thus, the implementation of rapid solutions for the early detection of this virus is an immediate priority. To this end, we provide… Read full abstract & cite →

Deep learning COVID-19 loss function balanced data

Abstract doi.org/10.14569/IJACSA.2022.0130162 PDF

63

Elevint: A Cloud-based Internet of Elevators

Author 1: Sarah Mohammed Aljadani Author 2: Shahd Mohammed Almutairi Author 3: Saja Saeed Ghaleb Author 4: Lama Al Khuzayem

With the significant growth of the number of high-rise buildings nowadays, the dependence on elevators has also increased. The issue that faces elevator passengers in case of breakdowns is the long waiting time for the arrival of the maintenance engineers to perform the repair, as the process of reporting is… Read full abstract & cite →

Internet of things elevator fault detection monitoring notification real-time

Abstract doi.org/10.14569/IJACSA.2022.0130163 PDF

64

Moving Object Detection over Wireless Visual Sensor Networks using Spectral Dual Mode Background Subtraction

Author 1: Ahmed M. AbdelTawab Author 2: M.B. Abdelhalim Author 3: S.E.D. Habib

Wireless Visual Sensor Networks (WVSN) play an essential role in tracking moving objects. WVSN's key drawbacks are storage, power, and bandwidth. Background subtraction is used in the early stages of target tracking to extract moving targets from video images. Many standard methods of subtracting backgrounds are no longer suitable for… Read full abstract & cite →

Background subtraction discrete cosine transform embedded camera networks Gaussian mixture models wireless visual sensor networks

Abstract doi.org/10.14569/IJACSA.2022.0130164 PDF

65

Enhancing the Security of Digital Image Encryption using Diagonalize Multidimensional Nonlinear Chaotic System

Author 1: Mahmoud I. Moussa Author 2: Eman I. Abd El-Latif Author 3: Nawaz Majid

This paper describes a new efficient cryptosystem for the color image encryption technique, based on a combination of multidimensional proposed chaos systems. This chaos system consists of six bisections: T_1 (x),T_2 (x),T_2 (y),T_3 (x),T_3 (y), andT_3 (z). They induce three chaotic matrix keys and three chaotic vector keys. We use… Read full abstract & cite →

Chaotic system encryption decryption image algorithms cryptosystem

Abstract doi.org/10.14569/IJACSA.2022.0130165 PDF

66

A Visual-Range Cloud Cover Image Dataset for Deep Learning Models

Author 1: Muhammad Umair Author 2: Manzoor Ahmed Hashmani

Coastal and offshore oil and gas structures and operations are subject to continuous exposure to environmental conditions (ECs) such as varying air and water temperatures, rough sea conditions, strong winds, high humidity, rain, and varying cloud cover. To monitor ECs, weather and wave sensors are installed on these facilities. However… Read full abstract & cite →

Cloud cover dataset classification GoogLeNet ResNet-50 EfficientNet-B0

Abstract doi.org/10.14569/IJACSA.2022.0130166 PDF

67

Blockchain in the Quantum World

Author 1: Arman Rasoodl Faridi Author 2: Faraz Masood Author 3: Ali Haider Thabet Shamsan Author 4: Mohammad Luqman Author 5: Monir Yahya Salmony

Blockchain is one of the most discussed and highly accepted technologies, primarily due to its application in almost every field where third parties are needed for trust. Blockchain technology relies on distributed consensus for trust, which is accomplished using hash functions and public-key cryptography. Most of the cryptographic algorithms in… Read full abstract & cite →

Blockchain quantum computers distributed ledger technology security systematic literature review quantum attacks

Abstract doi.org/10.14569/IJACSA.2022.0130167 PDF

68

Design and Implementation of Deep Depth Decision Algorithm for Complexity Reduction in High Efficiency Video Coding (HEVC)

Author 1: Helen K Joy Author 2: Manjunath R Kounte Author 3: B K Sujatha

High efficiency video (HEVC) coding made its mark as a codec which compress with low bit rate than its preceding codec that is H.264, but the factor that stop HEVC from many applications is its complex encoding procedure. The rate distortion optimisation (RDO) cost calculation in HEVC consume complex calculations… Read full abstract & cite →

CNN HEVC deep learning RDO encoding time complexity reduction

Abstract doi.org/10.14569/IJACSA.2022.0130168 PDF

69

The Pragmatics of Function Words in Fiction

Author 1: Ayman Farid Khafaga

This paper uses a computer-aided text analysis (CATA) to decipher the ideologies pertaining to function words in fictional discourse represented by Edward Bond’s Lear. In literary texts, function words, such as pronouns and modal verbs display a very high frequency of occurrence. Despite the fact that these linguistic units are… Read full abstract & cite →

Computer-aided text analysis (CATA) concordance function words persuasion manipulation ideology Bond’s Lear

Abstract doi.org/10.14569/IJACSA.2022.0130169 PDF

70

Fusion of BIFFOA and Adaptive Two-Phase Mutation for Helmetless Motorcyclist Detection

Author 1: Sutikno Author 2: Agus Harjoko Author 3: Afiahayati

Road traffic injuries and deaths cause considerable economic losses to individuals, families, and nations as a whole. One of the strategies needed to curtail these fatalities is the surveillance of helmetless motorcyclists, which is carried out by developing an automatic detection system based on computer vision. Generally, this system consists… Read full abstract & cite →

Motorcycle classification helmetless head detection BIFFOA two-phase mutation algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130170 PDF

71

AI-based System for the Detection and Prevention of COVID-19

Author 1: Sofien Chokri Author 2: Wided Ben Daoud Author 3: Wasma Hanini Author 4: Sami Mahfoudhi Author 5: Amel Makhlouf

The COVID-19 pandemic has had catastrophic consequences all over the world since the detection of the first case in December 2019. Currently, exponential growth is expected. In order to stop the spread of this pandemic, it is necessary to respect sanitary protocols such as the mandatory wearing of masks. In… Read full abstract & cite →

Face mask detection coronavirus COVID-19 deep learning MobileNetV2 AES

Abstract doi.org/10.14569/IJACSA.2022.0130171 PDF

72

Human Emotion Recognition by Integrating Facial and Speech Features: An Implementation of Multimodal Framework using CNN

Author 1: P V V S Srinivas Author 2: Pragnyaban Mishra

This Emotion recognition plays a prominent role in today's intelligent system applications. Human computer interface, health care, law, and entertainment are a few of the applications where emotion recognition is used. Humans convey their emotions in the form of text, voice, and facial expressions, thus developing a multimodal emotional recognition… Read full abstract & cite →

Emotion recognition multimodal fusion MFCC MFA FERCNN CREMAD RAVDESS

Abstract doi.org/10.14569/IJACSA.2022.0130172 PDF

73

BERT based Named Entity Recognition for Automated Hadith Narrator Identification

Author 1: Emha Taufiq Luthfi Author 2: Zeratul Izzah Mohd Yusoh Author 3: Burhanuddin Mohd Aboobaider

Hadith serves as a second source of Islamic law for Muslims worldwide, especially in Indonesia, which has the world's most significant Muslim population of 228.68 million people. However, not all Hadith texts have been certified and approved for use, and several falsified Hadiths make it challenging to distinguish between authentic… Read full abstract & cite →

Hadith narrator hadith authentication natural language processing named entity recognition NLP NER BERT BERT fine-tune

Abstract doi.org/10.14569/IJACSA.2022.0130173 PDF

74

An Early Intervention Technique for At-Risk Prediction of Higher Education Students in Cloud-based Virtual Learning Environment using Classification Algorithms during COVID-19

Author 1: Arul Leena Rose. P. J Author 2: Ananthi Claral Mary.T

Higher Education is considered vital for societal development. It leads to many benefits including a prosperous career and financial security. Virtual learning through cloud platforms has become fashionable as it is expediency and flexible to students. New student learning models and prediction outcomes can be developed by using these platforms… Read full abstract & cite →

Prediction at-risk machine learning virtual learning environment cloud platforms classification COVID-19 random forest student academic performance

Abstract doi.org/10.14569/IJACSA.2022.0130174 PDF

75

Balanced Schedule on Storm for Performance Enhancement

Author 1: Arwa Z. Selim Author 2: Noha E. El-Attar Author 3: I. M. Hanafy Author 4: Wael A. Awad

In recent years, real-time and big data aroused and received a lot of attention due to the spread of embedded systems in almost everything in life. This has led to many challenges that need to be solved to enhance and improve systems that work on big real-time data. Apache Storm… Read full abstract & cite →

Real-time big data apache storm scheduling

Abstract doi.org/10.14569/IJACSA.2022.0130175 PDF

76

Extract Concept using Subtitles in MOOC

Author 1: Aarika Kawtar Author 2: Habib Benlahmar Author 3: Mohamed Amine Naji Author 4: Elfilali Sanaa Author 5: Zouheir Banou

Massive open online courses (MOOCs) are a variety of courses offered through the online mode, paid or unpaid and has evolved as an excellent learning resource for students. The structure of the course design is mainly linear where there are a few video lectures provided by either professors of several… Read full abstract & cite →

LDA BERT topic coherence overlap coefficient

Abstract doi.org/10.14569/IJACSA.2022.0130176 PDF

77

Identification of Coronary Heart Disease through Iris using Gray Level Co-occurrence Matrix and Support Vector Machine Classification

Author 1: Vincentius Abdi Gunawan Author 2: Leonardus Sandy Ade Putra Author 3: Fitri Imansyah Author 4: Eka Kusumawardhani

Now-a-days, coronary heart disease is one of the deadliest diseases in the world. An unfavorable lifestyle, lack of physical activity, and consuming tobacco are the causes of coronary heart disease aside from genetic inheritance. Sometimes the patient does not know whether he has abnormalities in heart function or not. Therefore… Read full abstract & cite →

Iris iridology coronary heart circle hough transform gray level co-occurrence matrix support vector machine

Abstract doi.org/10.14569/IJACSA.2022.0130177 PDF

78

Performance of Data Reduction Algorithms for Wireless Sensor Network (WSN) using Different Real-Time Datasets: Analysis Study

Author 1: M. K. Hussein Author 2: Ion Marghescu Author 3: Nayef.A.M. Alduais

This paper investigates the effect of data reduction methods in the performance of Wireless Sensor Network (WSN) using a variety of real-time datasets. The simulation tests are carried out in MATLAB for several methods of reducing the quantity of sent data. These approaches are Data Reduction based - Neural Network… Read full abstract & cite →

Data reduction algorithms WSN energy consumption accuracy neural network independent component analysis

Abstract doi.org/10.14569/IJACSA.2022.0130178 PDF

79

A Global Survey of Technological Resources and Datasets on COVID-19

Author 1: Manoj Muniswamaiah Author 2: Tilak Agerwala Author 3: Charles C. Tappert

The application and successful utilization of technological resources in developing solutions to health, safety, and economic issues caused by COVID-19 indicate the importance of technology in curbing COVID-19. Also, the medical field has had to race against tie to develop and distribute the COVID-19 vaccine. This endeavour became successful with… Read full abstract & cite →

Vaccination hospitalization confirmed cases datasets data science COVID-19

Abstract doi.org/10.14569/IJACSA.2022.0130179 PDF

80

A Comparison between Online and Offline Health Seeking Information using Social Networks for Patients with Chronic Health Conditions

Author 1: Andrew Kear Author 2: Simon Talbot

The patient is now better connected with other patients just like the consumer is now better connected with other consumers in particular through the growing adoption of social media and online peer to peer communities. These relationships which become collaborative have either positive or indeed negative consequences that may either… Read full abstract & cite →

Component social media healthcare peer to peer networks patient networks pre-Covid

Abstract doi.org/10.14569/IJACSA.2022.0130180 PDF

81

Predicting Cyber-Attack using Cyber Situational Awareness: The Case of Independent Power Producers (IPPs)

Author 1: Akwetey Henry Matey Author 2: Paul Danquah Author 3: Godfred Yaw Koi-Akrofi

The increasing critical dependencies on Internet-of-Things (IoT) have raised security concerns; its application on the critical infrastructures (CIs) for power generation has come under massive cyber-attack over the years. Prior research efforts to understand cybersecurity from Cyber Situational Awareness (CSA) perspective fail to critically consider the various Cyber Situational Awareness… Read full abstract & cite →

Internet of things cyber situational awareness critical infrastructures power generation cyber-attack cyber security human behavioural and independent power producers

Abstract doi.org/10.14569/IJACSA.2022.0130181 PDF

82

Design and Performance Analysis of Anti-Surge Control Mechanism for Compressor System using Neural Networks

Author 1: Divya M. N Author 2: Narayanappa C.K Author 3: S L Gangadhariah Author 4: V Nuthan Prasad

The compressor system is caused by the surge, which is an instability occurrence in most gas-process and oil industries. These issues are solved by using a recycle valve that avoids the surge and provides higher mass flow in the compressor system. An advanced controller-based anti-surge control mechanism is a need… Read full abstract & cite →

Anti-surge fuzzy logic controller (FLC) neuro-fuzzy controller (NFC) compressors neural-network

Abstract doi.org/10.14569/IJACSA.2022.0130182 PDF

83

Design and Implementation of True Parallelism Quad-Engine Cybersecurity Architecture on FPGA

Author 1: Nada Qaim Mohammed Author 2: Amiza Amir Author 3: Muataz Hammed Salih Author 4: Badlishah Ahmad

Applications, such as Internet of Things, deal with huge amount of transmitted, processed and stored images that required a high computing capability. Therefore, there is a need a computing architecture that contribute in increasing the throughput by exploiting modern technologies in both spatial and temporal parallelisms. This paper conducts a… Read full abstract & cite →

Field programmable gate array (FPGA) spatial parallelism cybersecurity throughput component

Abstract doi.org/10.14569/IJACSA.2022.0130183 PDF

84

Cotton Crop Yield Prediction using Data Mining Technique

Author 1: Amiksha Ashok Patel Author 2: Dhaval Kathiriya

Cotton is a very important crop, as India leads it in terms of production in the world; and also that a vast number of manpower is engaged in farming as well as post-harvest processing and management of different derivatives of it. Weather is crucial for the productivity of the crop… Read full abstract & cite →

Data mining cotton crop yield prediction agriculture data processing data visualization

Abstract doi.org/10.14569/IJACSA.2022.0130184 PDF

85

Data Analysis of Coronavirus CoVID-19: Study of Spread and Vaccination in European Countries

Author 1: Hela Turki Author 2: Kais Khrouf

Humanity has gone since a long time through several pandemics, such as: H1N1 in 2009 and also Spanish flu in 1917. In December 2019, the health authorities of China detected unexplained cases of pneumonia. The WHO World Health Organization has declared the apparition of CoVID-19 (novel Coronavirus) that caused a… Read full abstract & cite →

Multidimensional model constellation schema coronavirus covid-19 vaccination European countries

Abstract doi.org/10.14569/IJACSA.2022.0130185 PDF

86

Design of Low Cost Bio-impedance Measuring Instrument

Author 1: Rajesh Birok Author 2: Rajiv Kapoor

It is a well-established fact that the electrical bio-impedance of a part of the human body can provide valuable information regarding physiological parameters of the human body, if the signal is correctly detected and interpreted. Accord-ingly, an efficient low-cost bio-electrical impedance measuring instrument was developed, implemented, and tested in this… Read full abstract & cite →

Noninvasive bio-electrical Impedance bio-impedance bio-medical instrumentation

Abstract doi.org/10.14569/IJACSA.2022.0130186 PDF

87

Detecting Irony in Arabic Microblogs using Deep Convolutional Neural Networks

Author 1: Linah Alhaidari Author 2: Khaled Alyoubi Author 3: Fahd Alotaibi

A considerable amount of research has been de-veloped lately to analyze social media with the intention of understanding and exploiting the available information. Recently, irony has took a significant role in human communication as it has been increasingly used in many social media platforms. In Natural Language Processing (NLP), irony… Read full abstract & cite →

Verbal irony natural language processing machine learning automatic irony detection

Abstract doi.org/10.14569/IJACSA.2022.0130187 PDF

88

Analysis about Benefits of Software-Defined Wide Area Network: A New Alternative for WAN Connectivity

Author 1: Catherine Janir´e Mena Diaz Author 2: Laberiano Andrade-Arenas Author 3: Javier Gustavo Utrilla Arellano Author 4: Miguel Angel Cano Lengua

This article is based on conducting research to analyze the benefits of emerging trends in communications and networking technology, such as software-defined wide area networks. Using Waterfall as a methodology, the main objective is to carry out a technical comparison at the design and configuration level, creating a virtual environment… Read full abstract & cite →

Networking technology connectivity SDWAN wide area network Waterfall

Abstract doi.org/10.14569/IJACSA.2022.0130188 PDF

89

Data Recovery Approach for Fault-Tolerant IoT Node

Author 1: Perigisetty Vedavalli Author 2: Deepak Ch

Internet of Things (IoT) has a wide range of applications in many sectors like industries, health care, homes, militarily, and agriculture. Especially IoT-based safety and critical applications must be more securable and reliable. Such type of applications needs to be operated continuously even in the presence of errors and faults… Read full abstract & cite →

Internet of things data recovery RAID node failures reliability network lifetime

Abstract doi.org/10.14569/IJACSA.2022.0130189 PDF

90

An Enhanced Traffic Split Routing Heuristic for Layer 2 and Layer 1 Services

Author 1: Ahlem Harchay Author 2: Abdelwahed Berguiga Author 3: Ayman Massaoudi

Virtual Private Networks (VPNs) have now taken an important place in computer and communication networks. A virtual private network is the extension of a private network that encompasses links through shared or public networks, such as the Internet. A VPN is a transmission network service for businesses with two or… Read full abstract & cite →

Virtual private network enhanced traffic split rout-ing quality of service shortest path routing layer 1 VPN layer 2 VPN

Abstract doi.org/10.14569/IJACSA.2022.0130190 PDF

91

AuSDiDe: Towards a New Authentication System for Distributed and Decentralized Structure based on Shamir’s Secret Sharing

Author 1: Omar SEFRAOUI Author 2: Afaf Bouzidi Author 3: Kamal Ghoumid Author 4: El Miloud Ar-Reyouchi

Nowadays, connected devices are growing exponen-tially; their produced data traffic has increased unprecedent-edly. Information systems security and cybersecurity are critical because data typically contain sensitive personal information, requiring high data protection. An authentication system manages and controls access to this data allowing the system to ensure the legitimacy of the… Read full abstract & cite →

Shamir’s secret sharing authentication system de-centralized distributed blockchain

Abstract doi.org/10.14569/IJACSA.2022.0130191 PDF

92

Keyphrases Concentrated Area Identification from Academic Articles as Feature of Keyphrase Extraction: A New Unsupervised Approach

Author 1: Mohammad Badrul Alam Miah Author 2: Suryanti Awang Author 3: Md. Saiful Azad Author 4: Md Mustafizur Rahman

The extraction of high-quality keywords and sum-marising documents at a high level has become more difficult in current research due to technological advancements and the expo-nential expansion of textual data and digital sources. Extracting high-quality keywords and summarising the documents at a high-level need to use features for the keyphrase… Read full abstract & cite →

Keyphrase concentrated area KCA identification feature extraction data processing keyphrase extraction curve fitting

Abstract doi.org/10.14569/IJACSA.2022.0130192 PDF

93

Transfer Learning based Performance Comparison of the Pre-Trained Deep Neural Networks

Author 1: Jayapalan Senthil Kumar Author 2: Syahid Anuar Author 3: Noor Hafizah Hassan

Deep learning has grown tremendously in recent years, having a substantial impact on practically every discipline. Transfer learning allows us to transfer the knowledge of a model that has been formerly trained for a particular task to a new model that is attempting to solve a related but not identical… Read full abstract & cite →

Transfer learning deep neural networks image classification Convolutional Neural Network (CNN) models

Abstract doi.org/10.14569/IJACSA.2022.0130193 PDF

94

Augmented Reality: Prototype for the Teaching-Learning Process in Peru

Author 1: Shalom Adonai Huaraz Morales Author 2: Laberiano Andrade-Arenas Author 3: Alexi Delgado Author 4: Enrique Lee Huamani

In recent years, augmented reality is playing an important role in the world of mobile technology, since it is a way to facilitate the teaching-learning processes, this easy teaching-learning process generates a great contribution in companies, either creating opportunities or changing the way in which companies approach and interact with… Read full abstract & cite →

Augmented reality teaching education scrum unity

Abstract doi.org/10.14569/IJACSA.2022.0130194 PDF

95

On the Long Tail Products Recommendation using Tripartite Graph

Author 1: Arlisa Yuliawati Author 2: Hamim Tohari Author 3: Rahmad Mahendra Author 4: Indra Budi

The growth of the number of e-commerce users and the items being sold become both opportunities and challenges for e-commerce marketplaces. As the existence of the long-tail phenomenon, the marketplaces need to pay attention to the high number of rarely sold items. The failure to sell these products would be… Read full abstract & cite →

Long tail recommender system tripartite graph random walker hitting time absorbing time

Abstract doi.org/10.14569/IJACSA.2022.0130195 PDF

96

Machine Learning Applied to Prevention and Mental Health Care in Peru

Author 1: Edwin Kcomt Ponce Author 2: Melissa Flores Cruz Author 3: Laberiano Andrade-Arenas

The present research aims to develop an application that allows the early and timely detection of signs of problems in the mental health of citizens. Agile methodology was used, with its SCRUM framework developing its four steps. In addition, technological tools such as artificial intelligence, mobile appli-cations, social networks and… Read full abstract & cite →

Artificial intelligence machine learning mental health scrum sentiment analysis

Abstract doi.org/10.14569/IJACSA.2022.0130196 PDF

97

Modeling and Predicting Blood Flow Characteristics through Double Stenosed Artery from Computational Fluid Dynamics Simulations using Deep Learning Models

Author 1: Ishat Raihan Jamil Author 2: Mayeesha Humaira

Establishing patient-specific finite element analysis (FEA) models for computational fluid dynamics (CFD) of double stenosed artery models involves time and effort, restricting physicians’ ability to respond quickly in time-critical medical applications. Such issues might be addressed by training deep learning (DL) models to learn and predict blood flow character-istics using… Read full abstract & cite →

Double stenosed artery CFD neural network LSTM GRU

Abstract doi.org/10.14569/IJACSA.2022.0130197 PDF

98

NLI-GSC: A Natural Language Interface for Generating SourceCode

Author 1: Aaqib Ahmed R.H. Ansari Author 2: Deepali R. Vora

There are many different programming languages and each programming language has its own structure or way of writing the code, it becomes difficult to learn and frequently switch between different programming languages. Due to this reason, a person working with multiple programming languages needs to look at documentations frequently which… Read full abstract & cite →

Natural Language Processing (NLP) Natural Lan-guage Interface (NLI) Entity Recognition (ER) Artificial Intelli-gence (AI) source code generation pseudocode generation

Abstract doi.org/10.14569/IJACSA.2022.0130198 PDF

99

Improving Arabic Cognitive Distortion Classification in Twitter using BERTopic

Author 1: Fatima Alhaj Author 2: Ali Al-Haj Author 3: Ahmad Sharieh Author 4: Riad Jabri

Social media platforms allow users to share thoughts, experiences, and beliefs. These platforms represent a rich resource for natural language processing techniques to make inferences in the context of cognitive psychology. Some inaccurate and biased thinking patterns are defined as cognitive distortions. Detecting these distortions helps users restructure how to… Read full abstract & cite →

Arabic tweets cognitive distortions’ classification machine learning social media supervised learning unsupervised learning transformers BERTopic topic modeling

Abstract doi.org/10.14569/IJACSA.2022.0130199 PDF

100

Investigation Framework for Cloud Forensics using Dynamic Genetic-based Clustering

Author 1: Mohammed Y. Alkhanafseh Author 2: Mohammad Qatawneh Author 3: Wesam Almobaideen

Cloud computing allows a pool of resources, such as storage, computation power, communication bandwidth, to be shared and accessed by many users from different locations. High dependency on sharing resources among different cloud users allows some attacker to hide and commit crimes using cloud resources and as a result, cloud… Read full abstract & cite →

Cloud computing forensics genetic clustering al-gorithms genetic dynamic clustering forensics framework digital forensics

Abstract doi.org/10.14569/IJACSA.2022.01301100 PDF

101

Towards a Low-Cost FPGA Micro-Server for Big Data Processing

Author 1: Mohamed Abouzahir Author 2: Khalifa Elmansouri Author 3: Rachid Latif Author 4: Mustapha Ramzi

The development of big data in the era of data explosion and the growing demand for micro-servers in place of traditional servers to adapt to lightweight tasks in recent years has put into question how to integrate and make use of these two important domains. During the same era, CPU… Read full abstract & cite →

Arria 10 FPGA (Field Programmable Gate Arrays) GPGPU (General Purpose Graphics Processing Unit) big data parallel computing (HLS) High-Level Synthesis

Abstract doi.org/10.14569/IJACSA.2022.01301101 PDF

102

Assessing and Proposing Countermeasures for Cyber-Security Attacks

Author 1: Ali Al-Zahrani

Cyber-attacks on IT domain infrastructure directly affect the security of businesses’ operational processes, potentially leading to system failure. Some industries have a high risk than others due to the sensitivity of their data, including the transportation industry, which has recently moved from traditional data management to digitalization. This study aims… Read full abstract & cite →

Cyber-attacks cyber-security risk assessment countermeasures

Abstract doi.org/10.14569/IJACSA.2022.01301102 PDF

103

ASM-ROBOT: A Cyber-Physical Home Automation Controller with Memristive Reconfigurable State Machine

Author 1: Kennedy Chinedu Okafor Author 2: Omowunmi Mary Longe

In the next 5 to 10 years, digital Artificial Intelligence with Machine Circuit Learning Algorithms (MCLA) will become the mainstream in complex automated robots. Its power concerns, ethical perspectives, including the issues of digital sensing, actuation, mobility, efficient process-computation, and wireless communication will require advanced neuromorphic process variable controls. Existing… Read full abstract & cite →

Cloud computing cyber-physical systems complex robot computational science IoT machine learning

Abstract doi.org/10.14569/IJACSA.2022.01301103 PDF