IJACSA Vol. 13 Issue 11 (2022)

1

Investigating the User Experience of Mind Map Software: A Comparative Study based on Eye Tracking

Author 1: Junfeng Wang Author 2: Xi Wang Author 3: Jingjing Lu Author 4: Zhiyu Xu

Software for creating mind maps is currently prevalent, and it should have strong usability and create a good user experience. Usability testing can help to uncover flaws in software's usability and support its optimization. This paper took the mind map software "Xmind" and "MindMaster" as study cases and conducted comparative… Read full abstract & cite →

Usability mind map software comparative research eye tracking user experience

Abstract doi.org/10.14569/IJACSA.2022.0131101 PDF

2

Character Level Segmentation and Recognition using CNN Followed Random Forest Classifier for NPR System

Author 1: U. Ganesh Naidu Author 2: R. Thiruvengatanadhan Author 3: S. Narayana Author 4: P. Dhanalakshmi

The number plate recognition system must be able to quickly and accurately identify the plate in both low and noisy lighting conditions, as well as within the specified time limit. This study proposes automated authentication, which would minimize security and individual workload while eliminating the requirement for human credential verification… Read full abstract & cite →

Character segmentation convolutional neural networks bilateral filter character recognition SVM classifier

Abstract doi.org/10.14569/IJACSA.2022.0131102 PDF

3

Prediction of Micro Vascular and Macro Vascular Complications in Type-2 Diabetic Patients using Machine Learning Techniques

Author 1: Bandi Vamsi Author 2: Ali Al Bataineh Author 3: Bhanu Prakash Doppala

A collection of metabolic conditions known as diabetes mellitus are defined by hyperglycemia brought on by deficiencies in insulin secretion, action, or both. In terms of mortality rate, type-2 diabetes is 20 times higher when compared with type-1. Based on the earlier research, there is still scope to identify different… Read full abstract & cite →

Diabetes mellitus micro vascular macro vascular machine learning type-2 complications

Abstract doi.org/10.14569/IJACSA.2022.0131103 PDF

4

Using Incremental Ensemble Learning Techniques to Design Portable Intrusion Detection for Computationally Constraint Systems

Author 1: Promise R. Agbedanu Author 2: Richard Musabe Author 3: James Rwigema Author 4: Ignace Gatare

Computers have evolved over the years, and as the evolution continues, we have been ushered into an era where high-speed internet has made it possible for devices in our homes, hospital, energy, and industry to communicate with each other. This era is known as the Internet of Things (IoT). IoT… Read full abstract & cite →

Cyber-security ensemble machine learning incre-mental machine learning Internet of Things intrusion detection online machine learning

Abstract doi.org/10.14569/IJACSA.2022.0131104 PDF

5

Blockchain based Framework for Efficient Student Performance Tracking (BloSPer)

Author 1: Aisha Zahid Junejo Author 2: Anton Dziatkovskii Author 3: Manzoor Ahmed Hashmani Author 4: Uladzimir Hryneuski Author 5: Ekaterina Ovechkina

For maintaining sustainable economy, the government of Malaysia is working towards improvising the standards of education in higher education institutes. According to reports, around 32% of enrolled students in Public Universities of Malaysia are unable to graduate on time due to unknown reasons. To ensure more students graduate on time… Read full abstract & cite →

Blockchain education performance tracking trackability student data analytics student monitoring

Abstract doi.org/10.14569/IJACSA.2022.0131105 PDF

6

Impact of Mobile Technology Solution on Self-Management in Patients with Hypertension: Advantages and Barriers

Author 1: Adel Alzahrani Author 2: Valerie Gay Author 3: Ryan Alturki

Hypertension is a major risk factor for cardiovascular morbidity and mortality. It is a condition that increases the high risk of heart, liver, and other diseases. Since hypertension is one of the biggest global public health issues, patients require more interventions to manage their blood pressure. The vast use of… Read full abstract & cite →

Impact self-management mHealth hypertension

Abstract doi.org/10.14569/IJACSA.2022.0131106 PDF

7

IRemember: Memorable CAPTCHA Method for Sighted and Visually Impaired Users

Author 1: Mrim Alnfiai Author 2: Sahar Altalhi Author 3: Duaa Alawfi

A CAPTCHA is used to automatically differentiate between human users and automated software to prevent bots from accessing unauthorized websites. Most proposed CAPTCHAs are not accessible to visually impaired users because of the memorability of the CAPTCHA’s numerical digits. Recalling six random spoken digits is a difficult task for any… Read full abstract & cite →

CAPTCHA blind users visually impaired users memorability accessibility

Abstract doi.org/10.14569/IJACSA.2022.0131107 PDF

8

Protein Secondary Structure Prediction based on CNN and Machine Learning Algorithms

Author 1: Romana Rahman Ema Author 2: Mt. Akhi Khatun Author 3: Md. Nasim Adnan Author 4: Sk. Shalauddin Kabir Author 5: Syed Md. Galib Author 6: Md. Alam Hossain

One of the most important topics in computational biology is protein secondary structure prediction. Primary, secondary, tertiary, and quaternary structure are the four levels of complexity that can be used to characterize the entire structure of a protein that are totally ordered by the amino acid sequences. The polypeptide backbone… Read full abstract & cite →

Protein Secondary Structure Prediction (PSSP) Support Vector Machine (SVM) Naive Bays (NB) Random Forest (RF) Convolutional Neural network (CNN)

Abstract doi.org/10.14569/IJACSA.2022.0131108 PDF

9

A Mobility Management Algorithm in the Internet of Things (IoT) for Smart Objects based on Software-Defined Networking (SDN)

Author 1: Lili Pei

In recent decades, technological advancements have significantly improved people's living standards and given rise to the rapid development of intelligent technologies. The Internet of Things (IoT) is one of the most important research topics worldwide. However, IoT is often comprised of unreliable wireless networks, with hundreds of mobile sensors interconnected… Read full abstract & cite →

Internet of things (IoT) mobility management software-defined networking (SDN) CoAP protocol

Abstract doi.org/10.14569/IJACSA.2022.0131109 PDF

10

SPAMID-PAIR: A Novel Indonesian Post–Comment Pairs Dataset Containing Emoji

Author 1: Antonius Rachmat Chrismanto Author 2: Anny Kartika Sari Author 3: Yohanes Suyanto

The detection of spam content is an important task especially in social media. It has become a topic to be continuely studied in Natural Language Processing (NLP) area in the last few years. However, limited data sets are available for this research topic because most researchers collect the data by… Read full abstract & cite →

Dataset natural language processing spam detection spamid-pair post-comment pairs

Abstract doi.org/10.14569/IJACSA.2022.0131110 PDF

11

Cedarwood Quality Classification using SVM Classifier and Convolutional Neural Network (CNN)

Author 1: Muhammad Ary Murti Author 2: Casi Setianingsih Author 3: Eka Kusumawardhani Author 4: Renal Farhan

Cedarwood is one of the most sought-after materials since it can be used to create a wide variety of household appliances. Other than its unique aroma, the product's quality is the most important selling attribute. Fiber patterns allow for a qualitative categorization of this wood. Traditionally, workers in the wood-processing… Read full abstract & cite →

Cedarwood classification convolutional neural network (CNN) HoG feature SVM classification

Abstract doi.org/10.14569/IJACSA.2022.0131111 PDF

12

Ransomware Detection using Machine and Deep Learning Approaches

Author 1: Ramadhan A. M. Alsaidi Author 2: Wael M.S. Yafooz Author 3: Hashem Alolofi Author 4: Ghilan Al-Madhagy Taufiq-Hail Author 5: Abdel-Hamid M. Emara Author 6: Ahmed Abdel-Wahab

Due to the advancement and easy accessibility to computer and internet technology, network security has become vulnerable to hacker threats. Ransomware is a frequently used malware in cyber-attacks to trick the victim users to expose sensitive and private information to the attackers. Consequently, victims may not be able to access… Read full abstract & cite →

Machine learning ransomware URL classification malicious URLs deep learning

Abstract doi.org/10.14569/IJACSA.2022.0131112 PDF

13

Evaluation of Online Teaching in the Covid Period using Learning Analytics

Author 1: Jolana Gubalova

The article compares education at the Faculty of Economics Matej Bel University before the pandemic and during the coronavirus pandemic. At the same time, it tries to outline what the education will look like after this situation is over. It finds out how the situation during the corona affected the… Read full abstract & cite →

Distance online learning learning management system moodle collaboration platform microsoft teams

Abstract doi.org/10.14569/IJACSA.2022.0131113 PDF

14

Multi-Feature Extraction Method of Power Customer’s Portrait based on Knowledge Map and Label Extraction

Author 1: Wentao Liu Author 2: Liang Ji

In order to realize the visualization of power customer characteristics and better provide power services for power customers, a multi-feature extraction method of power customer’s portrait based on knowledge map and label extraction is studied. The power customer’s portrait construction model is designed, which uses the knowledge map construction link… Read full abstract & cite →

Knowledge map label extraction power customer’s portrait multi-feature extraction natural language processing feature visualization

Abstract doi.org/10.14569/IJACSA.2022.0131114 PDF

15

Student Acceptance Towards Online Learning Management System based on UTAUT2 Model

Author 1: Masitah Musa Author 2: Mohd. Norasri Ismail Author 3: Suhaidah Tahir Author 4: Mohd. Farhan Md. Fudzee Author 5: Muhamad Hanif Jofri

Recently, education has changed from physical learning to online and hybrid learning. Furthermore, the outbreak of COVID-19 makes them more significant. An online learning management system (LMS) is one of the most prevalent approaches to online and distance learning. The acceptance of the students towards the LMS is significant and… Read full abstract & cite →

Online learning management system technology acceptance unified theory of acceptance and usage of technology 2 online learning value

Abstract doi.org/10.14569/IJACSA.2022.0131115 PDF

16

Object Pre-processing using Motion Stabilization and Key Frame Extraction with Machine Learning Techniques

Author 1: Kande Archana Author 2: V Kamakshi Prasad

Video information processing is one of the most important application areas in research and to solve in various pre-processing issues. The pre-processing issues such as unstable video frame rates or capture angle, noisy data and large size of the video data prevent the researchers to apply information retrieval or categorization… Read full abstract & cite →

Information loss preventive mean angle measure key frame extraction moving average dynamic thresholding

Abstract doi.org/10.14569/IJACSA.2022.0131116 PDF

17

A Review on Approaches in Arabic Chatbot for Open and Closed Domain Dialog

Author 1: Abraheem Mohammed Sulayman Alsubayhay Author 2: Md Sah Hj Salam Author 3: Farhan Bin Mohamed

A Chatbot is a computer program which facilitates human-to-human communication between an artificial agent and humans. The Arabic language unlike the other languages has been used in Natural Language Processing in relatively fewer works owing to the lack of corpus along with the complexity of the language which has a… Read full abstract & cite →

Arabic chatbot artificial intelligence arabchat human-machine interaction conversational agent

Abstract doi.org/10.14569/IJACSA.2022.0131117 PDF

18

Facial Emotion Detection using Convolutional Neural Network

Author 1: Pooja Bagane Author 2: Shaasvata Vishal Author 3: Rohit Raj Author 4: Tanushree Ganorkar Author 5: Riya

Non-verbal specialized strategies, e.g. look, eye development, and motions are utilized in numerous uses of human-PC connection, among them facial feeling is generally utilized as it conveys the enthusiastic states and sensations of people. In the machine learning calculation, a few significant separated highlights are utilized for displaying the face… Read full abstract & cite →

Feature extraction convolutional neural network resnet emotion recognition emotion detection facial recognition

Abstract doi.org/10.14569/IJACSA.2022.0131118 PDF

19

Research on Sentiment Analysis Algorithm for Comments on Online Ideological and Political Courses

Author 1: Xiang Zhang Author 2: Xiaobo Qin

The online course teaching platform provides a more accessible and open teaching environment for teachers and students. The sentiment tendency reflected in the online course comments becomes an essential basis for teachers to adjust the course and students to choose the course. This paper combined two deep learning algorithms, i.e… Read full abstract & cite →

Online courses comment sentiment tendency long short-term memory

Abstract doi.org/10.14569/IJACSA.2022.0131119 PDF

20

Why do Women Volunteer More than Men? Gender and its Role in Voluntary Citizen Reporting Applications Usage and Adoption

Author 1: Muna M. Alhammad

By researching why citizens are eager to participate in citizen reporting applications, this study contributes to the understanding of citizen-government interaction in open government. Self-determination theory, gender role theory, and social role theory were employed to evaluate the impact of various motivational factors on individual behavioural intentions to participate in… Read full abstract & cite →

Self-determination theory gender role theory social role theory motivation amotivation gender diversity social responsibility citizens reporting application

Abstract doi.org/10.14569/IJACSA.2022.0131120 PDF

21

Effect of Visuospatial Ability on E-learning for Pupils of Physics Option in Scientific Common Trunk

Author 1: Khalid Marnoufi Author 2: Imane Ghazlane Author 3: Fatima Zahra Soubhi Author 4: Bouzekri Touri Author 5: Elhassan Aamro

This study aims to reveal the existence of a relationship between the visuospatial capacity of pupils with a specialization in physics, with high educational performance, and the capacity for E-learning. To achieve the study, we used the Wechsler intelligence test of cognitive ability. Our sample is composed of 204 adolescents… Read full abstract & cite →

Visuospatial e-learning physics intelligence

Abstract doi.org/10.14569/IJACSA.2022.0131121 PDF

22

Mobile Devices Supporting People with Special Needs

Author 1: Tihomir Stefanov Author 2: Silviya Varbanova Author 3: Milena Stefanova

Over the years, various devices designed for people with special needs have been used for a while and then replaced with modern devices to make everyday life easier. The development of mobile devices is especially improved today and through them different everyday activities are facilitated, not only by people with… Read full abstract & cite →

Mobile devices mobile operating systems Android iOS special needs visually impaired hearing impaired e-learning

Abstract doi.org/10.14569/IJACSA.2022.0131122 PDF

23

Vision based 3D Object Detection using Deep Learning: Methods with Challenges and Applications towards Future Directions

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

For autonomous intelligent systems, 3D object detection can act as a basis for decision making by providing information such as object’s size, position and direction to perceive information about surrounding environment. Successful application using robust 3D object detection can hugely impact robotic industry, augmented and virtual reality sectors in the… Read full abstract & cite →

3D object detection deep learning vision depth map point cloud

Abstract doi.org/10.14569/IJACSA.2022.0131123 PDF

24

Emotion Estimation Method with Mel-frequency Spectrum, Voice Power Level and Pitch Frequency of Human Voices through CNN Learning Processes

Author 1: Taiga Haruta Author 2: Mariko Oda Author 3: Kohei Arai

Emotion estimation method with Mel-frequency spectrum, voice power level and pitch frequency of human voices through CNN (Convolutional Neural Network) learning processes is proposed. Usually, frequency spectra are used for emotion estimation. The proposed method utilizes not only Mel-frequency spectrum, but also voice pressure level (voice power level) and pitch… Read full abstract & cite →

e-Learning emotion estimation Mel-frequency spectrum fundamental frequency (pitch frequency) sound pressure level (voice power level)

Abstract doi.org/10.14569/IJACSA.2022.0131124 PDF

25

Cybersecurity in Deep Learning Techniques: Detecting Network Attacks

Author 1: Shatha Fawaz Ghazal Author 2: Salameh A. Mjlae

Deep learning techniques have been found to be useful in a variety of fields. Cybersecurity is one such area. In cybersecurity, both Machine Learning and Deep Learning classification algorithms can be used to monitor and prevent network attacks. Additionally, it can be utilized to identify system irregularities that may signal… Read full abstract & cite →

HTTP DATASET CSIC 2010 deep learning cybersecurity attacks detection attacks network attacks

Abstract doi.org/10.14569/IJACSA.2022.0131125 PDF

26

Permission and Usage Control for Virtual Tourism using Blockchain-based Smart Contracts

Author 1: Muhammad Shoaib Siddiqui Author 2: Toqeer Ali Syed Author 3: Adnan Nadeem Author 4: Waqas Nawaz Author 5: Ahmad Alkhodre

Virtual Tourism (VT) is a booming business with potential perspectives in the entertainment and financial industry. Due to travel restrictions, safety concerns, and expensive travelling the younger generation is showing interest in virtual tourism instead of traditional tourism. However, virtual tourism does not financially benefit the service providers as compared… Read full abstract & cite →

Virtual tourism permission control usage control access control blockchain

Abstract doi.org/10.14569/IJACSA.2022.0131126 PDF

27

A Fast Multicore-based Window Entropy Algorithm

Author 1: Suha S.A. Shokr Author 2: Hazem M. Bahig

Malware analysis is a major challenge in cybersecurity due to the regular appearance of new malware and its effect in cyberspace. The existing tools for malware analysis enable reverse engineering to understand the origin, purpose, attributes, and potential consequences of malicious software. An entropy method is one of the techniques… Read full abstract & cite →

Entropy window method malware analysis parallel algorithm multicore

Abstract doi.org/10.14569/IJACSA.2022.0131127 PDF

28

Routing with Multi-Criteria QoS for Flying Ad-hoc Networks (FANETs)

Author 1: Ch Naveen Kumar Reddy Author 2: Krovi Raja Sekhar

Flying Ad-hoc Network (FANET) is a type of Ad-hoc network on backbone of Unmanned Aerial Vehicle (UAV). These networks are used for providing communication services in case of natural disasters. Dynamic changes in link quality and mobility distort the Quality of Service (QoS) for routing in FANETs. This work proposed… Read full abstract & cite →

Flying ad-hoc Network multi-criteria QoS unmanned aerial vehicles joint optimization

Abstract doi.org/10.14569/IJACSA.2022.0131128 PDF

29

The Use of ICTs in the Digital Culture for Virtual Learning of University Students Applying an Artificial Neural Network Model

Author 1: José Luis Morales Rocha Author 2: Mario Aurelio Coyla Zela Author 3: Nakaday Irazema Vargas Torres Author 4: Helen Gaite Trujillo

Artificial neural networks are mathematical models of artificial intelligence that intend to reproduce the behavior of the human brain and whose main objective is the construction of systems that are capable of demonstrating certain intelligent behavior. The purpose of the investigation is to determine the influence of the use of… Read full abstract & cite →

Artificial neural network digital culture ICT virtual learning COVID 19

Abstract doi.org/10.14569/IJACSA.2022.0131129 PDF

30

A Study of Modelling IoT Security Systems with Unified Modelling Language (UML)

Author 1: Hind Meziane Author 2: Noura Ouerdi

The Internet of Things (IoT) has emerged as a technology with the application in different areas. Hence, security is one of the major challenges that has the potential to stifle the growth of the IoT. In fact, IoT is vulnerable to several cyber attacks and needs challenging techniques to achieve… Read full abstract & cite →

Internet of things (IoT) IoT systems IoT security modelling Unified Modelling Language (UML) UML extensions IoT applications

Abstract doi.org/10.14569/IJACSA.2022.0131130 PDF

31

DevOps Enabled Agile: Combining Agile and DevOps Methodologies for Software Development

Author 1: Shah Murtaza Rashid Al Masud Author 2: Md. Masnun Author 3: Afia Sultana Author 4: Anamika Sultana Author 5: Fahad Ahmed Author 6: Nasima Begum

The Agile and DevOps software development methodologies have made revolutionary advancements in software engineering. These methodologies vastly improve software quality and also speed up the process of developing software products. However, several limitations have been discovered in the practical implementation of Agile and DevOps, including the lack of collaboration between… Read full abstract & cite →

Agile DevOps gaps collaboration skill DevOps Enabled Agile software development

Abstract doi.org/10.14569/IJACSA.2022.0131131 PDF

32

Issues in Requirements Specification in Malaysia’s Public Sector: An Evidence from a Semi-Structured Survey and a Static Analysis

Author 1: Mohd Firdaus Zahrin Author 2: Mohd Hafeez Osman Author 3: Alfian Abdul Halin Author 4: Sa'adah Hassan Author 5: Azlena Haron

Requirement specifications (RS) are essential and fundamental artefacts in system development. RS is the primary reference in software development and is commonly written in natural language. Bad requirement quality, such as requirement smells, may lead to project delay, cost overrun, and failure. Focusing on requirement quality in the Malaysian government… Read full abstract & cite →

Ambiguity requirements engineering requirement smell requirement specification semi-structured interview

Abstract doi.org/10.14569/IJACSA.2022.0131132 PDF

33

A Guideline for Designing Mobile Applications for Children with Autism within Religious Boundaries

Author 1: Ajrun Azhim Zamry Author 2: Muhammad Haziq Lim Abdullah Author 3: Mohd Hafiz Zakaria

Autism spectrum disorder is a condition related to brain development that impacts how a person perceives and socialises with others, causing problems in social interaction and communication. The disorder also includes limited and repetitive patterns of behavior. Children with autism spectrum disorder (ASD) develop at a different rate and don’t… Read full abstract & cite →

Autism Spectrum Disorder (ASD) guidelines mobile applications religion assistive technology communication

Abstract doi.org/10.14569/IJACSA.2022.0131133 PDF

34

Fuzzy Support Vector Machine based Fall Detection Method for Traumatic Brain Injuries

Author 1: Mohammad Kchouri Author 2: Norharyati Harum Author 3: Ali Obeid Author 4: Hussein Hazimeh

Falling is a major health issue that can lead to both physical and mental injuries. Detecting falls accurately can reduce the severe effects and improve the quality of life for disabled people. Therefore, it is critical to develop a smart fall detection system. Many approaches have been proposed in wearable-based… Read full abstract & cite →

Fall detection fuzzy logic SVM traumatic brain injuries wearable sensor

Abstract doi.org/10.14569/IJACSA.2022.0131134 PDF

35

An Effective Ensemble-based Framework for Outlier Detection in Evolving Data Streams

Author 1: Asmaa F. Hassan Author 2: Sherif Barakat Author 3: Amira Rezk

In the last few years, data streams have drawn lots of researchers’ attention due to their various applications, such as healthcare monitoring systems, fraud and intrusion detection, the internet of things (IoT), and financial market applications. A data stream is an unbounded sequence of data continually generated over time and… Read full abstract & cite →

Outlier detection data streams data stream mining ensemble learning concept evolution

Abstract doi.org/10.14569/IJACSA.2022.0131135 PDF

36

Towards a Fair Evaluation of Feature Extraction Algorithms Robustness in Structure from Motion

Author 1: Dina M. Taha Author 2: Hala H. Zayed Author 3: Shady Y. El-Mashad

Structure from Motion is a pipeline for 3D reconstruction in which the true geometry of an object or a scene is inferred from a sequence of 2D images. As feature extraction is usually the first phase in the pipeline, the reconstruction quality depends on the accuracy of the feature extraction… Read full abstract & cite →

Feature extraction feature matching structure from motion 3D reconstruction

Abstract doi.org/10.14569/IJACSA.2022.0131136 PDF

37

Ensemble Tree Classifier based Analysis of Water Quality for Layer Poultry Farm: A Study on Cauvery River

Author 1: Deepika Author 2: Nagarathna Author 3: Channegowda

Indian poultry industry has evolved from a simple backyard occupation to a large commercial agri-based enterprise. Chicken dominates poultry production in India, accounting for almost 95% of total egg production. Several factors affect the egg production such as feeding material, drinking water, environmental factors etc. Analyzing the water quality is… Read full abstract & cite →

Water quality poultry machine learning Cauvery river feature ranking ensemble tree classifier accuracy

Abstract doi.org/10.14569/IJACSA.2022.0131137 PDF

38

Detection of Abnormal Human Behavior in Video Images based on a Hybrid Approach

Author 1: BAI Ya-meng Author 2: WANG Yang Author 3: WU Shen-shen

The analysis of human movement has attracted the attention of many scholars of various disciplines today. The purpose of such systems is to perceive human behavior from a sequence of video images. They monitor the population to find common properties among pedestrians on the scene. In video surveillance, the main… Read full abstract & cite →

Cellular neural network detection of abnormalities differential evolution algorithm video images

Abstract doi.org/10.14569/IJACSA.2022.0131138 PDF

39

Transformer-based Neural Network for Electrocardiogram Classification

Author 1: Mohammed A. Atiea Author 2: Mark Adel

A transformer neural network is a powerful method that is used for sequence modeling and classification. In this paper, the transformer neural network was combined with a convolutional neural network (CNN) that is used for feature embedding to provide the transformer inputs. The proposed model accepts the raw electrocardiogram (ECG)… Read full abstract & cite →

Electrocardiogram classification transformer neural network convolutional neural network

Abstract doi.org/10.14569/IJACSA.2022.0131139 PDF

40

BCT-CS: Blockchain Technology Applications for Cyber Defense and Cybersecurity: A Survey and Solutions

Author 1: Naresh Kshetri Author 2: Chandra Sekhar Bhushal Author 3: Purnendu Shekhar Pandey Author 4: Vasudha

Blockchain technology has now emerged as a ground-breaking technology with possible solutions to applications from securing smart cities to e-voting systems. Although it started as a digital currency or cryptocurrency, bitcoin, there is no doubt that blockchain is influencing and will influence business and society more in the near future… Read full abstract & cite →

Applications blockchain technology blockchain solutions countermeasures cyber-attacks cyber defense cybersecurity survey

Abstract doi.org/10.14569/IJACSA.2022.0131140 PDF

41

Low-rate DDoS attack Detection using Deep Learning for SDN-enabled IoT Networks

Author 1: Abdussalam Ahmed Alashhab Author 2: Mohd Soperi Mohd Zahid Author 3: Amgad Muneer Author 4: Mujaheed Abdullahi

Software Defined Networks (SDN) can logically route traffic and utilize underutilized network resources, which has enabled the deployment of SDN-enabled Internet of Things (IoT) architecture in many industrial systems. SDN also removes bottlenecks and helps process IoT data efficiently without overloading the network. An SDN-based IoT in an evolving environment… Read full abstract & cite →

SDN LDDoS attack OpenFlow Deep Learning Long-Short Term Memory

Abstract doi.org/10.14569/IJACSA.2022.0131141 PDF

42

Stock Price Forecasting using Convolutional Neural Networks and Optimization Techniques

Author 1: Nilesh B. Korade Author 2: Mohd. Zuber

Forecasting the correct stock price is intriguing and difficult for investors due to its irregular, inherent dynamics, and tricky nature. Convolutional neural networks (CNN) have impressive performance in forecasting stock prices. One of the most crucial tasks when training a CNN on a stock dataset is identifying the optimal hyperparameter… Read full abstract & cite →

Convolutional neural networks swarm intelligence random search particle swarm optimization firefly

Abstract doi.org/10.14569/IJACSA.2022.0131142 PDF

43

Vision-based Human Detection by Fine-Tuned SSD Models

Author 1: Tang Jin Cheng Author 2: Ahmad Fakhri Ab. Nasir Author 3: Anwar P. P. Abdul Majeed Author 4: Mohd Azraai Mohd Razman Author 5: Thai Li Lim

Human-robot interaction (HRI) and human-robot collaboration (HRC) has become more popular as the industries are taking initiative to idealize the era of automation and digitalization. Introduction of robots are often considered as a risk due to the fact that robots do not own the intelligent as human does. However, the… Read full abstract & cite →

Human detection deep learning transfer learning SSD fine-tuning human-robot interactions

Abstract doi.org/10.14569/IJACSA.2022.0131143 PDF

44

Data Warehouse Analysis and Design based on Research and Service Standards

Author 1: Lasmedi Afuan Author 2: Nurul Hidayat Author 3: Dadang Iskandar Author 4: Arief Kelik Nugroho Author 5: Bangun Wijayanto Author 6: Ana Romadhona Yasifa

Data are not easy to organize, especially if the data are big in quantity and stored manually and in a non-computerized way. Therefore, in the last few years, many organizations or companies used information systems to help their activities organize and manage the data. Universitas Jenderal Soedirman (UNSOED) is a… Read full abstract & cite →

Data warehouse knowage SNDIKTI UNSOED

Abstract doi.org/10.14569/IJACSA.2022.0131144 PDF

45

Toward an Ontological Cyberattack Framework to Secure Smart Cities with Machine Learning Support

Author 1: Ola Malkawi Author 2: Nadim Obaid Author 3: Wesam Almobaideen

With the emergence and the movement toward the Internet of Things (IoT), one of the most significant applications that have gained a great deal of concern is smart cities. In smart cities, IoT is leveraged to manage life and services within a minimal, or even no, human intervention. IoT paradigm… Read full abstract & cite →

Cyberattack Internet of Things (IoT) ontology machine learning intrusion detection system

Abstract doi.org/10.14569/IJACSA.2022.0131145 PDF

46

A Novel Annotation Scheme to Generate Hate Speech Corpus through Crowdsourcing and Active Learning

Author 1: Nadeera Meedin Author 2: Maneesha Caldera Author 3: Suresha Perera Author 4: Indika Perera

The number of user-generated posts is growing exponentially with social media usage growth. Promoting violence against or having the primary purpose of inciting hatred against individuals or groups based on specific attributes via social media posts is daunting. As the posts are published in multiple languages with different forms of… Read full abstract & cite →

Annotation crowdsourcing hate speech detection social media data analytics

Abstract doi.org/10.14569/IJACSA.2022.0131146 PDF

47

Detecting Brain Diseases using Hyper Integral Segmentation Approach (HISA) and Reinforcement Learning

Author 1: M. Praveena Author 2: M. Kameswara Rao

Medical Images are most widely done by the various image processing approaches. Image processing is used to analyze the various abnormal tissues based on given input images. Deep learning (DL) is one of the fast-growing field in the computer science and specifically in medical imaging analysis. Tumor is a mass… Read full abstract & cite →

Benign malignant magnetic resonance imaging Alzheimer's disease

Abstract doi.org/10.14569/IJACSA.2022.0131147 PDF

48

Combining AHP and Topsis to Select Eligible Social and Solidarity Economy Actors for a Call for Grants

Author 1: Salma Chrit Author 2: Abdellah Azmani Author 3: Monir Azmani

The procedure for selecting projects in order to offer a grant for actors of the social and solidarity economy can be a delicate task for decision-makers (Public or Private Establishments), which is based on several eligibility and refusal criteria (economic, social and environmental); the task that can sometimes take several… Read full abstract & cite →

AHP TOPSIS project selection decision making multi criteria decision method

Abstract doi.org/10.14569/IJACSA.2022.0131148 PDF

49

Classification of Electromyography Signal of Diabetes using Artificial Neural Networks

Author 1: Muhammad Fathi Yakan Zulkifli Author 2: Noorhamizah Mohamed Nasir

Diabetes is one of the most chronic diseases, with an increasing number of sufferers yearly. It can lead to several serious complications, including diabetic peripheral neuropathy (DPN). DPN must be recognized early to receive appropriate treatment and prevent disease exacerbation. However, due to the rapid development of machine learning classification… Read full abstract & cite →

Electromyography diabetic neuropathy classification machine learning artificial neural networks

Abstract doi.org/10.14569/IJACSA.2022.0131149 PDF

50

Constraints on Hyper-parameters in Deep Learning Convolutional Neural Networks

Author 1: Ubaid M. Al-Saggaf Author 2: Abdelaziz Botalb Author 3: Muhammad Faisal Author 4: Muhammad Moinuddin Author 5: Abdulrahman U. Alsaggaf Author 6: Sulhi Ali Alfakeh

Convolutional Neural Network (CNN), a type of Deep Learning, has a very large number of hyper-meters in contrast to the Artificial Neural Network (ANN) which makes the task of CNN training more demanding. The reason why the task of tuning parameters optimization is difficult in the CNN is the existence… Read full abstract & cite →

Neural networks convolution pooling hyper-parameters CNN deep learning zero-padding stride back-propagation

Abstract doi.org/10.14569/IJACSA.2022.0131150 PDF

51

Design of a Speaking Training System for English Speech Education using Speech Recognition Technology

Author 1: Hengheng He

A good English speaking training system can provide an aid to the learning of English. This paper briefly introduced the English speaking training system and described the speaking training scoring and pronunciation resonance peak display modules in the system. The speaking training scoring module scored pronunciation with the Long Short-Term… Read full abstract & cite →

English speech long short-term memory speaking training speech recognition

Abstract doi.org/10.14569/IJACSA.2022.0131151 PDF

52

Development of Underwater Pipe Crack Detection System for Low-Cost Underwater Vehicle using Raspberry Pi and Canny Edge Detection Method

Author 1: Mohd Aliff Author 2: Nur Farah Hanisah Author 3: Muhammad Shafique Ashroff Author 4: Sallaudin Hassan Author 5: Siti Fairuz Nurr Author 6: Nor Samsiah Sani

The effective loading area decreases because of cracking, leading to a rise in stress and eventual structural failure. Monitoring for cracks is an important part of keeping any pipeline or building in excellent working order. There are several obstacles that make manual inspection and monitoring of subsea pipes challenging. The… Read full abstract & cite →

Crack detection pipeline underwater vehicle: image processing Raspberry Pi canny edge detection

Abstract doi.org/10.14569/IJACSA.2022.0131152 PDF

53

Method for 1/f Fluctuation Component Extraction from Images and Its Application to Improve Kurume Kasuri Quality Estimation

Author 1: Jin Shimazoe Author 2: Kohei Arai Author 3: Mariko Oda Author 4: Jewon Oh

Method for 1/f fluctuation component extraction from images is proposed. As an application of the proposed method, Kurume Kasuri textile quality evaluation is also proposed. Frequency component analysis is used for 1/f fluctuation component extraction. Also, an attempt is conducted to discriminate the typical Kurume Kasuri textile quality, (1) Relatively… Read full abstract & cite →

1/f fluctuation component extraction Kurume Kasuri textile quality FLANN OpenCV

Abstract doi.org/10.14569/IJACSA.2022.0131153 PDF

54

Image Verification and Emotion Detection using Effective Modelling Techniques

Author 1: Sumana Maradithaya Author 2: Vaishnavi S

The feelings expressed on the face reflect the manner of thinking and provide useful insights of happenings inside the brain. Face Detection enables us to identify a face. Recognizing the facial expressions for different emotions is to familiarize the machine with human like capacity to perceive and identify human feelings… Read full abstract & cite →

Face detection face recognition emotion detection data augmentation

Abstract doi.org/10.14569/IJACSA.2022.0131154 PDF

55

Big Data Analytics Quality in Enhancing Healthcare Organizational Performance: A Conceptual Model Development

Author 1: Wan Mohd Haffiz Mohd Nasir Author 2: Rusli Abdullah Author 3: Yusmadi Yah Jusoh Author 4: Salfarina Abdullah

The advancement of Big Data Analytics (BDA) has aided numerous organizations in effectively and efficiently adopting BDA as a holistic solution. However, BDA quality assessment has not yet been fully addressed, therefore it is necessary to identify essential BDA quality factors to assure the enhancement of organizational performance, particularly in… Read full abstract & cite →

Big data analytics BDA quality factors BDA quality assessment organizational performance healthcare

Abstract doi.org/10.14569/IJACSA.2022.0131155 PDF

56

Parkinson’s Disease Identification using Deep Neural Network with RESNET50

Author 1: Anila M Author 2: Pradeepini Gera

Recent Parkinson's disease (PD) research has focused on recognizing vocal defects from people's prolonged vowel phonations or running speech since 90% of Parkinson's patients demonstrate vocal dysfunction in the early stages of the illness. This research provides a hybrid analysis of time and frequency and deep learning techniques for PD… Read full abstract & cite →

Parkinson’s disease speech impairment artificial intelligence RESNET50 deep learning ht/wigner-ville distribution 2D time-frequency

Abstract doi.org/10.14569/IJACSA.2022.0131156 PDF

57

Design of Mobile Application Auction for Ornamental Fish to Increase Farmer Sales Transactions in Indonesia

Author 1: Henry Antonius Eka Widjaja Author 2: Meyliana Author 3: Erick Fernando Author 4: Stephen Wahyudi Santoso Author 5: Surjandy Author 6: A.Raharto Condrobimo

This article focuses on designing a mobile application for ornamental fish auction transactions for fish cultivators in order to increase their sales. This mobile app was created using a prototyping methodology and a four step process. The first is communication, the second is Quick plan and design, the third is… Read full abstract & cite →

Mobile application auction ornamental fish prototyping model

Abstract doi.org/10.14569/IJACSA.2022.0131157 PDF

58

An Automatic Adaptive Case-based Reasoning System for Depression Remedy Recommendation

Author 1: Hatoon S. AlSagri Author 2: Mourad Ykhlef Author 3: Mirvat Al-Qutt Author 4: Abeer Abdulaziz AlSanad Author 5: Lulwah AlSuwaidan Author 6: Halah Abdulaziz Al-Alshaikh

Social media data represents the fuel for advanced analytics concerning people’s behaviors, physiological and health status. These analytics include identifying users’ depression levels via Twitter and then recommend remedies. Remedies come in the form of suggesting some accounts to follow, displaying motivational quotes, or even recommending a visit to a… Read full abstract & cite →

Case-based reasoning (CBR) depression remedy adaptation similarity twitter

Abstract doi.org/10.14569/IJACSA.2022.0131158 PDF

59

A Novel Hierarchical Shape Analysis based on Sampling Point-Line Distance for Regular and Symmetry Shape Detection

Author 1: Kehua Xian

Regular and symmetry shapes occurred in natural and manufactured objects. Detecting these shapes are essential and still tricky task in computer vision. This paper proposes a novel hierarchical shape detection (HiSD) method, which consists of circularity and roundness detection, and regularity and symmetry detection phases. The first phase recognizes the… Read full abstract & cite →

Shape recognition hierarchical shape detection sampling point-line distance distribution regular and symmetry shape detection

Abstract doi.org/10.14569/IJACSA.2022.0131159 PDF

60

Development of Automatic Segmentation Techniques using Convolutional Neural Networks to Differentiate Diabetic Foot Ulcers

Author 1: R V Prakash Author 2: K Sundeep Kumar

The quality of computer vision systems to detect abnormalities in various medical imaging processes, such as dual-energy X-ray absorptiometry, magnetic resonance imaging (MRI), ultrasonography, and computed tomography, has significantly improved as a result of recent developments in the field of deep learning. There is discussion of current techniques and algorithms… Read full abstract & cite →

Magnetic resonance imaging (MRI) diabetic foot ulcers (DFU) convolutional neural networks ischemia& machine learning algorithms & dual-energy x-ray absorptiometry

Abstract doi.org/10.14569/IJACSA.2022.0131160 PDF

61

Energy Consumption Reduction Strategy and a Load Balancing Mechanism for Cloud Computing in IoT Environment

Author 1: Tai Zhang Author 2: Huigang Li

Modern networks are built to be linked, agile, programmable, and load-efficient in order to overcome the drawbacks of an unbalanced network, such as network congestion, elevated transmission costs, low reliability, and other problems. The many technological devices in our environment have a considerable potential to make the connected world concept… Read full abstract & cite →

Internet of things load balancing cloud computing virtual machine migration

Abstract doi.org/10.14569/IJACSA.2022.0131161 PDF

62

A Review of Lightweight Object Detection Algorithms for Mobile Augmented Reality

Author 1: Mohammed Mansoor Nafea Author 2: Siok Yee Tan Author 3: Mohammed Ahmed Jubair Author 4: Mustafa Tareq Abd

Augmented Reality (AR) has led to several technologies being at the forefront of innovation and change in every sector and industry. Accelerated advances in Computer Vision (CV), AR, and object detection refined the process of analyzing and comprehending the environment. Object detection has recently drawn a lot of attention as… Read full abstract & cite →

Augmented reality (AR) object detection computer vision (CV) non-graphics processing unit (Non-GPU) real time

Abstract doi.org/10.14569/IJACSA.2022.0131162 PDF

63

The Influence of Virtual Secure Mode (VSM) on Memory Acquisition

Author 1: Niken Dwi Wahyu Cahyani Author 2: Erwid M Jadied Author 3: Nurul Hidayah Ab Rahman Author 4: Endro Ariyanto

Recently, acquiring the Random Access Memory (RAM) full memory and access data is gaining significant interest in digital forensics. However, a security feature on the Windows operating system - Virtual Secure Mode (VSM) - presents challenges to the acquisition process by causing a system crash known as a Blue Screen… Read full abstract & cite →

Live forensics memory acquisition virtualization virtual secure mode

Abstract doi.org/10.14569/IJACSA.2022.0131163 PDF

64

Optimizing Faculty Workloads and Room Utilization using Heuristically Enhanced WOA

Author 1: Lea D. Austero Author 2: Ariel M. Sison Author 3: Junrie B. Matias Author 4: Ruji P. Medina

The creation and generation of schedules that are free of conflicts manually every academic semester present higher education institutions with a duty that is laborious and demanding of their resources. The course timetabling optimization, as an education timetabling problem, is a popular example of an NP-hard combinatorial problem. Numerous attempts… Read full abstract & cite →

Heuristics mutation optimization swarm timetabling whale optimization algorithm

Abstract doi.org/10.14569/IJACSA.2022.0131164 PDF

65

Transformation Model of Smallholder Oil Palm Supply Chain Ecosystem using Blockchain-Smart Contract

Author 1: Irawan Afrianto Author 2: Taufik Djatna Author 3: Yandra Arkeman Author 4: Irman Hermadi

The development of new technology has the potential to disrupt and transform an existing system as well as information technology. This study aims to build a proposed model in order to transform an old system into a Blockchain-based system. The smallholder oil palm supply chain currently uses a traditional information… Read full abstract & cite →

Transformation model smallholder oil palm supply chain blockchain smart contract

Abstract doi.org/10.14569/IJACSA.2022.0131165 PDF

66

Speckle Reduction in Medical Ultrasound Imaging based on Visual Perception Model

Author 1: Yasser M. Kadah Author 2: Ahmed F. Elnokrashy Author 3: Ubaid M. Alsaggaf Author 4: Abou-Bakr M. Youssef

Ultrasound imaging technology is one of the most important clinical imaging modalities due to its safety, low cost, in addition to its versatile applications. The main technical problem in this technology is its noisy appearance due to the presence of speckle, which makes reading imaging more difficult. In this study… Read full abstract & cite →

Contrast sensitivity function image quality metrics speckle reduction ultrasound imaging

Abstract doi.org/10.14569/IJACSA.2022.0131166 PDF

67

Multi-level Video Captioning based on Label Classification using Machine Learning Techniques

Author 1: J. Vaishnavi Author 2: V. Narmatha

Video captioning is the heuristic and most essential task in the current world to save time by converting long and highly content-rich videos into simple and readable reports in text form. It is narrating the events happening in videos in natural language sentences. It makes the way to many more… Read full abstract & cite →

Video captioning label classification Hu moments GLCM statistical features SVM Naive Bayes

Abstract doi.org/10.14569/IJACSA.2022.0131167 PDF

68

Students’ Perspective on Sustaining Education and Promoting Humanising Education through e-Learning

Author 1: Aidrina Sofiadin

The COVID-19 pandemic has shifted the education sector towards an e-learning approach to sustain education. Sustaining student education through e-learning significantly impacts student learning experiences and outcomes, which can be influenced by e-learning infrastructure, e-learning materials, and learning engagement. The concept of humanising education refers to the learning process that… Read full abstract & cite →

Education sustainability humanizing education sustainable e-learning

Abstract doi.org/10.14569/IJACSA.2022.0131168 PDF

69

Diagnosis of Carcinoma from Histopathology Images using DA-Deep Convnets Model

Author 1: K. Abinaya Author 2: B. Sivakumar

Cancer is a major origin of mortality around the globe, responsible for roughly high morbidity and mortality in 2020, or almost one per six deaths. Cervical, lung, and breast are the most common types of cancers. Cervical is the fourth highest common in women worldwide. Cervical would then kill approximately… Read full abstract & cite →

Cancer cervical cancer convolutional neural network deep learning

Abstract doi.org/10.14569/IJACSA.2022.0131169 PDF

70

KMIT-Pathology: Digital Pathology AI Platform for Cancer Biomarkers Identification on Whole Slide Images

Author 1: Rajasekaran Subramanian Author 2: R. Devika Rubi Author 3: Rohit Tapadia Author 4: Rochan Singh

Analysis and identification of cancer imaging bio markers on biopsy tissues are done through optical microscope. Digital tissue scanners and Deep learning models automate this task and produce unbiased diagnostics. The digital tissue scanner is called as virtual microscopy which digitize the glass slide tissues and the digitized images are… Read full abstract & cite →

AI for cancer prediction and diagnostics deep learning for WSI analysis tubule prediction on breast cancer ISUP grading for prostate cancer WSI imaging platform

Abstract doi.org/10.14569/IJACSA.2022.0131170 PDF

71

Visually Impaired Person Assistance Based on Tensor FlowLite Technology

Author 1: Nethravathi B Author 2: Srinivasa H P Author 3: Hithesh Kumar P Author 4: Amulya S Author 5: Bhoomika S Author 6: Banashree S Dalawai Author 7: Chakshu Manjunath

The most exciting thing about computer visualization is to detect a Real time object application system. This is abundantly used in many areas. With the more increase of development of deep learning such as self-driving cars, robots, safety tracking, and guiding visually impaired people, many algorithms have improved to find… Read full abstract & cite →

Tensor flow SSD Yolo Yolo_v3 gifts deep learning

Abstract doi.org/10.14569/IJACSA.2022.0131171 PDF

72

Design of Robust Quasi Decentralized Type-2 Fuzzy Load Frequency Controller for Multi Area Power System

Author 1: Jesraj Tataji Dundi Author 2: Anand Gondesi Author 3: Rama Sudha Kasibhatla Author 4: A. Chandrasekhar

Interconnected power systems receive power through tie lines. Sudden perturbation in load causes uneven power distribution issues resulting in sudden changes in the voltage and frequency in the given system (tie-line power exchange error). The Load Frequency Controller (LFC) has an ability to stabilize the system for the above mentioned… Read full abstract & cite →

Load frequency control type-2 fuzzy quasi-decentralized functional observer fuzzy quasi-decentralized functional observers state observer type-2 fuzzy controller

Abstract doi.org/10.14569/IJACSA.2022.0131172 PDF

73

EEG-Based Silent Speech Interface and its Challenges: A Survey

Author 1: Nilam Fitriah Author 2: Hasballah Zakaria Author 3: Tati Latifah Erawati Rajab

People with speech disorders could have social and welfare difficulties. Therefore, the silent speech interface (SSI) is needed to help them communicate. This interface decodes the speech from a human’s biosignal. The brain signals contain information from speech production to cover people with numerous speech disorders. Brain signals can be… Read full abstract & cite →

Imagined speech silent speech interface electroencephalograph (EEG) speech recognition

Abstract doi.org/10.14569/IJACSA.2022.0131173 PDF

74

Deeply Learned Invariant Features for Component-based Facial Recognition

Author 1: Adam Hassan Author 2: Serestina Viriri

Face recognition underage variation is a challenging problem. It is a difficult task because ageing is an intrinsic variation, not like pose and illumination, which can be controlled. We propose an approach to extract invariant features to improve facial recognition using facial components. Can facial recognition over age progression be… Read full abstract & cite →

Invariant features facial components facial recognition convolutional neural network weighted fusion

Abstract doi.org/10.14569/IJACSA.2022.0131174 PDF

75

Research on the Design of Online Teaching Platform of College Dance Course based on IGA Algorithm

Author 1: Yunyun Xu

As a comprehensive art form, dance plays an integral role in developing the overall quality of students. However, with the increasing progress of IT technology, the traditional classroom-based teaching mode of dance course can no longer adapt to the current educational environment. This research designs an e-teaching platform system for… Read full abstract & cite →

Online teaching improved genetic algorithm college dance course intelligent test set simulated annealing

Abstract doi.org/10.14569/IJACSA.2022.0131175 PDF

76

Early-Warning Dropout Visualization Tool for Secondary Schools: Using Machine Learning, QR Code, GIS and Mobile Application Techniques

Author 1: Judith Leo

Investment in education through the provision of secondary school to the community is geared to develop human capital in Tanzania. However, these investments have been hampered by unacceptable higher rates of school dropouts, which seriously affect female students, since most schools do not have effective mechanisms for quality data management… Read full abstract & cite →

Dropout education girls machine learning students QR code mobile application

Abstract doi.org/10.14569/IJACSA.2022.0131176 PDF

77

The Best Techniques to Deal with Unbalanced Sequential Text Data in Deep Learning

Author 1: Sumarni Adi Author 2: Awaliyatul Hikmah Author 3: Bety Wulan Sari Author 4: Andi Sunyoto Author 5: Ainul Yaqin Author 6: Mardhiya Hayaty

Datasets with a balanced distribution of data are often difficult to find in real life. Although various methods have been developed and proven successful using shallow learning algorithms, handling unbalanced classes using a deep learning approach is still limited. Most of these studies only focus on image data using the… Read full abstract & cite →

Imbalanced text classification deep learning resampling technique weighted cross-entropy loss

Abstract doi.org/10.14569/IJACSA.2022.0131177 PDF

78

A New Framework for Accelerating Magnetic Resonance Imaging using Deep Learning along with HPC Parallel Computing Technologies

Author 1: Hani Moaiteq Aljahdali

MRI (magnetic resource imaging) has played a vital role in emerging technologies because of its non-invasion principle. MR equipment is traditional procedure being used for imaging biological structures. In medical domain, MRI is a most important tool being used for staging in clinical diagnosis that has ability to furnish rich… Read full abstract & cite →

Magnetic resonance imaging (MRI) segmentation classification acceleration deep learning

Abstract doi.org/10.14569/IJACSA.2022.0131178 PDF

79

Artificial Neural Network based Power Control in D2D Communication

Author 1: Nethravathi H M Author 2: S Akhila

As a viable technique for next-generation wireless networks, Device-to-Device (D2D) communication has attracted interest because it encourages the usage of point-to-point communications between User Equipment (UE) without passing over base stations (BS). Device-to-device (D2D) communication has been proposed in cellular networks as a supplementary paradigm to primarily increase network connection… Read full abstract & cite →

Artificial Neural Network (ANN) Base Stations (BS) CUE Device-to-Device (D2D) DUE ML User Equipment (UE)

Abstract doi.org/10.14569/IJACSA.2022.0131179 PDF

80

Providing a Framework for Security Management in Internet of Things

Author 1: XUE Zhen Author 2: LIU Xingyue

With the advent of Internet of Things technology, tremendous changes are taking place. Perhaps what humans never even imagined will come in the near future, and just as the Internet surrounds all aspects of people's daily lives, intelligent objects will autonomously take over all aspects of people's lives. So far… Read full abstract & cite →

Internet of things (IoT) security management security requirement security model security architecture

Abstract doi.org/10.14569/IJACSA.2022.0131180 PDF

81

Novel Strategies Employing Deep Learning Techniques for Classifying Pathological Brain from MR Images

Author 1: Mitrabinda Khuntia Author 2: Prabhat Kumar Sahu Author 3: Swagatika Devi

Brain tumors are the most widespread as well as disturbing sickness, among a very precise expectancy of life almost in their serious structure. As a consequence, therapy planning is a critical component in enhancing the characteristics of the patient’s life. Image modalities like computed tomography (CT), magnetic resonance imaging (MRI)… Read full abstract & cite →

Brain tumor CT MRI CNN MobileNet V2 ResNet101 DenseNet121

Abstract doi.org/10.14569/IJACSA.2022.0131181 PDF

82

Towards a Blockchain-based Medical Test Results Management System

Author 1: Phuc Nguyen Trong Author 2: Hong Khanh Vo Author 3: Luong Hoang Huong Author 4: Khiem Huynh Gia Author 5: Khoa Tran Dang Author 6: Hieu Le Van Author 7: Nghia Huynh Huu Author 8: Tran Nguyen Huyen Author 9: Loc Van Cao Phu Author 10: Duy Nguyen Truong Quoc Author 11: Bang Le Khanh Author 12: Kiet Le Tuan

The role of test results in the diagnosis and treatment of patients’ diseases at medical facilities cannot be ignored. Patients must have a series of tests that are related to their symptoms. This can be repeated as many times as possible, depending on the type of disease and treatment. Seriously… Read full abstract & cite →

Blood donation blockchain hyperledger fabric blood products supply chain

Abstract doi.org/10.14569/IJACSA.2022.0131182 PDF

83

Wheat Diseases Detection and Classification using Convolutional Neural Network (CNN)

Author 1: Md Helal Hossen Author 2: Md Mohibullah Author 3: Chowdhury Shahriar Muzammel Author 4: Tasniya Ahmed Author 5: Shuvra Acharjee Author 6: Momotaz Begum Panna

Ever since the medieval era, the preponderance of our concentration has been concentrated upon agriculture, which is typically recognized to be one of the vital aspects of the economy in contemporary society. This focus on agriculture can be traced back to the advent of the industrial revolution. Wheat is still… Read full abstract & cite →

Wheat crop diseases artificial intelligence convo-lution neural networks image processing feature extraction

Abstract doi.org/10.14569/IJACSA.2022.0131183 PDF

84

An Effective Decision-Making Support for Student Academic Path Selection using Machine Learning

Author 1: Pelagie HOUNGUE Author 2: Michel HOUNTONDJI Author 3: Theophile DAGBA

In Benin, after the GCSE (General Certificate of Secondary Education), learners can either enroll in a Technical and Vocational Education and Training (TVET), or further their studies in the general education. Majority of those who take the latter path enroll in Senior High School by choosing the Biology stream or… Read full abstract & cite →

Academic path academic performance machine learning educational data mining

Abstract doi.org/10.14569/IJACSA.2022.0131184 PDF

85

Towards an YouTube Verified Content System based on Blockchain Approach

Author 1: Phuc Nguyen Trong Author 2: Hong Khanh Vo Author 3: Luong Hoang Huong Author 4: Khiem Huynh Gia Author 5: Khoa Tran Dang Author 6: Hieu Le Van Author 7: Nghia Huynh Huu Author 8: Tran Nguyen Huyen Author 9: The Anh Nguyen Author 10: Loc Van Cao Phu Author 11: Duy Nguyen Truong Quoc Author 12: Bang Le Khanh Author 13: Kiet Le Tuan

YouTube connects people with each other through an online video sharing service platform. With the great devel-opment of the entertainment industry, content on YouTube is accessible to many people of different ages. However, verifying the content posted on YouTube is clean or not is a difficult problem. Dirty content is… Read full abstract & cite →

Blockchain technology public authentication Ethereum Fantom Binance smart chain platform social media platform

Abstract doi.org/10.14569/IJACSA.2022.0131185 PDF

86

Blood and Product-Chain: Blood and its Products Supply Chain Management based on Blockchain Approach

Author 1: Phuc Nguyen Trong Author 2: Hong Khanh Vo Author 3: Luong Hoang Huong Author 4: Khiem Huynh Gia Author 5: Khoa Tran Dang Author 6: Hieu Le Van Author 7: Nghia Huynh Huu Author 8: Tran Nguyen Huyen Author 9: The Anh Nguyen Author 10: Loc Van Cao Phu Author 11: Duy Nguyen Truong Quoc Author 12: Bang Le Khanh Author 13: Kiet Le Tuan

This paper provides a novel implementation of blockchain technology, and data is stored in a decentralized distributed ledger to assist information protection in blood supply chain management and prevent data loss or identity theft. The present blood supply is used exclusively from the blood of volunteers (known as donors), making… Read full abstract & cite →

Blood donation blockchain hyperledger fabric blood products supply chain

Abstract doi.org/10.14569/IJACSA.2022.0131186 PDF

87

360° Virtual Reality Video Tours Generation Model for Hostelry and Tourism based on the Analysis of User Profiles and Case-Based Reasoning

Author 1: Luis Alfaro Author 2: Claudia Rivera Author 3: Ernesto Suarez Author 4: Alberto Raposo

This paper proposes an adaptive software archi-tecture focused on hotel marketing based on immersive virtual reality (VRI) with 360° videos, which includes a component based on Case-Based Reasoning (CBR) to provide experiences that correspond to the analysis of user profiles. For the validation of the system, considering that the use… Read full abstract & cite →

Immersive virtual reality adaptive software archi-tecture case-based reasoning user profiles

Abstract doi.org/10.14569/IJACSA.2022.0131187 PDF

88

A Hybrid Genetic Algorithm for Service Caching and Task Offloading in Edge-Cloud Computing

Author 1: Li Li Author 2: Yusheng Sun Author 3: Bo Wang

Edge-cloud computing is increasingly prevalent for Internet-of-thing (IoT) service provisioning by combining both benefits of edge and cloud computing. In this paper, we aim to improve the user satisfaction and the resource efficiency by service caching and task offloading for edge-cloud computing. We propose a hybrid heuristic method to combine… Read full abstract & cite →

Cloud computing edge computing genetic algo-rithm service caching task offloading

Abstract doi.org/10.14569/IJACSA.2022.0131188 PDF

89

Aspect based Sentiment & Emotion Analysis with ROBERTa, LSTM

Author 1: Uddagiri Sirisha Author 2: Bolem Sai Chandana

Internet usage has increased social media over the past few years, significantly impacting public opinion on online social networks. Nowadays, these websites are considered the most appropriate place to express feelings and opinions. The popular social media site Twitter offers valuable insight into people’s thoughts. Throughout the conflict between Russia… Read full abstract & cite →

Aspect based sentiment analysis twitter LSTM emotion analysis russia-ukraine war online social networks roberta model

Abstract doi.org/10.14569/IJACSA.2022.0131189 PDF

90

Contactless Surveillance for Preventing Wind-Borne Disease using Deep Learning Approach

Author 1: Md Mania Ahmed Joy Author 2: Israt Jaben Bushra Author 3: Razoana Ayshee Author 4: Samira Hasan Author 5: Samia Binta Hassan Author 6: Md. Sawkat Ali Author 7: Omar Farrok Author 8: Mohammad Rifat Ahmmad Rashid Author 9: Maheen Islam

Covid-19 has been marked as a pandemic world-wide caused by the SARS-CoV-2 virus. Different studies are being conducted with a view to preventing and lessening the infections caused by covid-19. In future, many other wind-borne diseases may also appear and even emerge as “pandemic”. To prevent this, various measures should… Read full abstract & cite →

Computer vision convolution neural network COVID-19 deep learning face mask detection identity detection object detection

Abstract doi.org/10.14569/IJACSA.2022.0131190 PDF

91

Secure and Lightweight Authentication Protocol for Smart Metering System

Author 1: Hind El Makhtoum Author 2: Youssef Bentaleb

One of the main advantages of the new power grid over the traditional grid is the intelligent energy management by the customer and the Operator. Energy supply, demand response management, and consumption regulation are only possible with the smart metering system. Smart meters are the main component of that system… Read full abstract & cite →

Internet of things confidentiality integrity authen-tication Ascon Blake2 AVISPA

Abstract doi.org/10.14569/IJACSA.2022.0131191 PDF

92

Applying Logarithm and Russian Multiplication Protocols to Improve Paillier’s Cryptosystem

Author 1: Hamid El Bouabidi Author 2: Mohamed EL Ghmary Author 3: Sara Maftah Author 4: Mohamed Amnai Author 5: Ali Ouacha

Cloud computing provides on-demand access to a diverse set of remote IT services. It offers a number of advantages over traditional computing methods. These advantages include pay-as-you-go pricing, increased agility and on-demand scalabil-ity. It also reduces costs due to increased efficiency and better business continuity. The most significant barrier preventing… Read full abstract & cite →

Cloud computing cloud security homomorphic encryption paillier cryptosystem sockets

Abstract doi.org/10.14569/IJACSA.2022.0131192 PDF

93

Parallelizing Image Processing Algorithms for Face Recognition on Multicore Platforms

Author 1: Kausar Mia Author 2: Tariqul Islam Author 3: Md Assaduzzaman Author 4: Tajim Md. Niamat Ullah Akhund Author 5: Arnab Saha Author 6: Sonjoy Prosad Shaha Author 7: Md. Abdur Razzak Author 8: Angkur Dhar

A good face detection system should have the ability to identify objects with varying degrees of illumination and orientation. It should also be able to respond to all the possible variations in the image. The image of the face depends on the relative camera face pose such as the nose… Read full abstract & cite →

Image processing multi-core platforms machine learning face recognition parallelizing

Abstract doi.org/10.14569/IJACSA.2022.0131193 PDF

94

A Hybrid Protection Method to Enhance Data Utility while Preserving the Privacy of Medical Patients Data Publishing

Author 1: Shermina Jeba Author 2: Mohammed BinJubier Author 3: Mohd Arfian Ismail Author 4: Reshmy Krishnan Author 5: Sarachandran Nair Author 6: Girija Narasimhan

Medical patient data need to be published and made available to researchers so that they can use, analyse, and evaluate the data effectively. However, publishing medical patient data raises privacy concerns regarding protecting sensitive data while preserving the utility of the released data. The privacy-preserving data publishing (PPDP) process attempts… Read full abstract & cite →

Medical patients data publishing anonymization protection method for preserving the privacy

Abstract doi.org/10.14569/IJACSA.2022.0131194 PDF

95

Swarm Intelligence-based Hierarchical Clustering for Identification of ncRNA using Covariance Search Model

Author 1: Lustiana Pratiwi Author 2: Yun-Huoy Choo Author 3: Azah Kamilah Muda Author 4: Satrya Fajri Pratama

Covariance Model (CM) has been quite effective in finding potential members of existing families of non-coding Ribonucleic Acid (ncRNA) identification and has provided ex-cellent accuracy in genome sequence database. However, it has significant drawbacks with family-specific search. An existing Hierarchical Agglomerative Clustering (HAC) technique merged overlapping sequences which is known… Read full abstract & cite →

Covariance model ncRNA identification swarm intelligence hierarchical clustering

Abstract doi.org/10.14569/IJACSA.2022.0131195 PDF

96

COVIDnet: An Efficient Deep Learning Model for COVID-19 Diagnosis on Chest CT Images

Author 1: Briskline Kiruba S Author 2: Murugan D Author 3: Petchiammal A

A novel coronavirus disease (COVID-19) has been a severe world threat to humans since December 2020. The virus mainly affects the human respiratory system, making breathing difficult. Early detection and Diagnosis are essential to controlling the disease. Radiological imaging, like Computed Tomography (CT) scans, produces clear, high-quality chest images and… Read full abstract & cite →

Coronavirus disease reverse transcription poly-merase chain reaction computed tomography deep learning

Abstract doi.org/10.14569/IJACSA.2022.0131196 PDF

97

Rao-Blackwellized Particle Filter with Neural Network using Low-Cost Range Sensor in Indoor Environment

Author 1: Norhidayah Mohamad Yatim Author 2: Amirul Jamaludin Author 3: Zarina Mohd Noh Author 4: Norlida Buniyamin

Implementation of Rao-Blackwellized Particle Fil-ter (RBPF) in grid-based simultaneous localization and mapping (SLAM) algorithm with range sensors is commonly developed by using sensor with dense measurements such as laser rangefinder. In this paper, a more cost convenient solution was explored where implementation of array of infrared sensors equipped on a… Read full abstract & cite →

Simultaneous localization and mapping (SLAM) occupancy grid map neural network Rao-Blackwellized Particle Filter infrared sensor

Abstract doi.org/10.14569/IJACSA.2022.0131197 PDF

98

Multi-Scale ConvLSTM Attention-Based Brain Tumor Segmentation

Author 1: Brahim AIT SKOURT Author 2: Aicha MAJDA Author 3: Nikola S. Nikolov Author 4: Ahlame BEGDOURI

In computer vision, there are various machine learning algorithms that have proven to be very effective. Con-volutional Neural Networks (CNNs) are a kind of deep learning algorithms that became mostly used in image processing with a remarkable success rate compared to conventional machine learning algorithms. CNNs are widely used in… Read full abstract & cite →

Convolutional neural networks image processing semantic brain tumor segmentation convolutional long short term memory inception squeeze-excitation residual-network attention units

Abstract doi.org/10.14569/IJACSA.2022.0131198 PDF

99

NGram Approach for Semantic Similarity on Arabic Short Text

Author 1: Rana Husni Al-Mahmoud Author 2: Ahmad Sharieh

Measuring the semantic similarity between words requires a method that can simulate human thought. The use of computers to quantify and compare semantic similarities has become an important research area in various fields, including artificial intelligence, knowledge management, information re-trieval, and natural language processing. Computational seman-tics require efficient measures for… Read full abstract & cite →

Arabic text Ngram semantic sentences similarity short text ALMaany natural language semantic similarity of words corpus-based measures

Abstract doi.org/10.14569/IJACSA.2022.0131199 PDF

100

An Efficient Meta-Heuristic-Feature Fusion Model using Deep Neuro-Fuzzy Classifier

Author 1: Sri Laxmi Kuna Author 2: A. V. Krishna Prasad

Diabetic Retinopathy (DR) is the major cause of the loss of vision among adults worldwide. DR patients generally do not have any symptoms till they reach the final stage. The categorization of retinal images is a remarkable application in detecting DR. Due to the level of sugar available in the… Read full abstract & cite →

Multi-class severity classification diabetic retinopathy modified mating probability-based water strider algorithm optimized deep neuro-fuzzy classifier fuzzy clustering model adaptive thresholding optic disc removal image enhancement

Abstract doi.org/10.14569/IJACSA.2022.01311100 PDF

101

A Comprehensive Insight into Blockchain Technology: Past Development, Present Impact and Future Considerations

Author 1: Farhat Anwar Author 2: Burhan Ul Islam Khan Author 3: Miss Laiha Mat Kiah Author 4: Nor Aniza Abdullah Author 5: Khang Wen Goh

Blockchain technology is based on the idea of a distributed, consensus ledger, which it employs to create a secure, immutable data storage and management system. It is a publicly accessible and collectively managed ledger enabling unprecedented levels of trust and transparency between business and individual collaborations. It has both robust… Read full abstract & cite →

Blockchain blockchain applications consensus algorithms distributed ledger smart contract

Abstract doi.org/10.14569/IJACSA.2022.01311101 PDF

102

Factors Influencing the Acceptance of Online Mobile Auctions using User-Centered Agile Software Development: An Early Technology Acceptance Model

Author 1: Abdallah Namoun Author 2: Ahmed Alrehaili Author 3: Ali Tufail Author 4: Aseel Natour Author 5: Yaman Husari Author 6: Mohammed A. Al-Sharafi Author 7: Albaraa M. Alsaadi Author 8: Hani Almoamari

e-Commerce is booming everywhere, and Saudi Arabia is no exception. However, the adoption and prevalence of online mobile auctions (aka m-auction) remain unsatisfying in Saudi Arabia and the MENA region. This paper uncovers the enabling factors and hindering barriers against the use of mobile auctions by online consumers. To this… Read full abstract & cite →

Online auction mobile auction technology acceptance model eBay human-centered design agile software development factors

Abstract doi.org/10.14569/IJACSA.2022.01311102 PDF

103

Towards a Blockchain-based Medical Test Results Management System: A Case Study in Vietnam

Author 1: Phuc Nguyen Trong Author 2: Hong Khanh Vo Author 3: Luong Hoang Huong Author 4: Khiem Huynh Gia Author 5: Khoa Tran Dang Author 6: Hieu Le Van Author 7: Nghia Huynh Huu Author 8: Tran Nguyen Huyen Author 9: Loc Van Cao Phu Author 10: Duy Nguyen Truong Quoc Author 11: Bang Le Khanh Author 12: Kiet Le Tuan

The role of the testing process cannot be denied in the diagnosis and treatment of patients’ diseases in medical facilities today. The results from this process help doctors and nurses in medical centers make a preliminary and detailed assessment of symptoms and provide a specific course of treat-ment for their… Read full abstract & cite →

Blockchain-based system hyperledger fabric med-ical test results medical institution at developing countries

Abstract doi.org/10.14569/IJACSA.2022.01311103 PDF