IJACSA Vol. 13 Issue 8 (2022)

1

Real-Time Wildfire Detection and Alerting with a Novel Machine Learning Approach

Author 1: Audrey Zhang Author 2: Albert S. Zhang

Up until the end of July 2022, there have been over 38k wildfires in the US alone, decimating over 5.6 million acres. Wildfires significantly contribute to carbon emission, which is the root cause of global warming. Research has shown that artificial intelligence already plays a very important role in wildfire… Read full abstract & cite →

Wildfire detection CNN (convolutional neural network) machine learning image processing model server framework

Abstract doi.org/10.14569/IJACSA.2022.0130801 PDF

2

Severely Degraded Underwater Image Enhancement with a Wavelet-based Network

Author 1: Shunsuke Takao Author 2: Tsukasa Kita Author 3: Taketsugu Hirabayashi

Underwater images are important in marine science and ocean engineering fields owing to giving color information, low cost, and compact. Yet obtained underwater images are often degraded and restoring and enhancing wavelength selective signal attenuation of underwater images depending on complex underwater physical process is essential in practical application. While… Read full abstract & cite →

Underwater image enhancement deep learning discrete wavelet transform whitening and coloring transform

Abstract doi.org/10.14569/IJACSA.2022.0130802 PDF

3

Towards Personalized Adaptive Learning in e-Learning Recommender Systems

Author 1: Massra Sabeima Author 2: Myriam Lamolle Author 3: Mohamedade Farouk Nanne

An adaptive e-learning scenario not only allows people to remain motivated and engaged in the learning process, but it also helps them expand their awareness of the courses they are interested in. e-Learning systems in recent years had to adjust with the advancement of the educational situation. Therefore many recommender… Read full abstract & cite →

e-Learning adaptive learning recommendation system ontology

Abstract doi.org/10.14569/IJACSA.2022.0130803 PDF

4

A Comparative Research on Usability and User Experience of User Interface Design Software

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

With the development of science and technology, people increasingly rely on intelligent interactive products, thus promoting the vigorous development of the user interface industry. Software with high usability and user experience can improve users’ effectiveness and satisfaction, as well as the user viscosity. Taking three design software: Sketch, Adobe XD… Read full abstract & cite →

Usability user experience interaction design UI design software eye tracking

Abstract doi.org/10.14569/IJACSA.2022.0130804 PDF

5

Experimental Evaluation of Basic Similarity Measures and their Application in Visual Information Retrieval

Author 1: Miroslav Marinov Author 2: Yordan Kalmukov Author 3: Irena Valova

Searching for similar images is an important feature for image databases and decision support systems in various subject domains. However, it is essential that search results are sorted by degree of similarity in reverse order. This paper presents a comparative analysis of four existing similarity measures and experimentally tests whether… Read full abstract & cite →

Content Based Image Retrieval (CBIR) image search and ranking similarity measures image databases

Abstract doi.org/10.14569/IJACSA.2022.0130805 PDF

6

Automatic Detection of Roads using Aerial Photographs and Calculation of the Optimal Overflight Route for a Fixed-wing Drone

Author 1: Miguel Pérez P Author 2: Holman Montiel A Author 3: Fredy Martínez S

Currently, fixed-wing drones have become indispensable tools for the surveillance of large areas of land, justified by their better cost/benefit ratio, great flight autonomy, and payload capacity. In particular, the identification of roads, traffic control, monitoring of wear on asphalt layers, risk identification, and safety improvement are applications that are… Read full abstract & cite →

Automatic road tracking decorrelation stretching aerial imagery optimal overflight route calculation UAV

Abstract doi.org/10.14569/IJACSA.2022.0130806 PDF

7

Research on Regional Differentiation Allocation Mode of Energy Finance based on Attention Mechanism and Support Vector Machine

Author 1: Ling Sun Author 2: Hao Wu

This paper studies the prediction method of regional differentiated allocation mode of energy finance based on attention mechanism and support vector machine to provide scientific guidance for the future development direction of energy finance in each region. Analysis of the key factors influencing the energy consumption, through the attention mechanism… Read full abstract & cite →

Attention mechanism support vector machine energy finance differentiation configuration mode energy consumption

Abstract doi.org/10.14569/IJACSA.2022.0130807 PDF

8

Bilingual AI-Driven Chatbot for Academic Advising

Author 1: Ghazala Bilquise Author 2: Samar Ibrahim Author 3: Khaled Shaalan

Conversational technologies are revolutionizing how organizations communicate with people, thereby raising quick responses and constant availability expectations. Students often have queries about the institutional and academic policies and procedures, academic progression, activities, and more in an academic environment. In reality, the student services team and the academic advisors are overwhelmed… Read full abstract & cite →

Chatbot conversational agent academic advising natural language processing deep learning bilingual English Arabic

Abstract doi.org/10.14569/IJACSA.2022.0130808 PDF

9

Modified Prophet+Optuna Prediction Method for Sales Estimations

Author 1: Kohei Arai Author 2: Ikuya Fujikawa Author 3: Yusuke Nakagawa Author 4: Tatsuya Momozaki Author 5: Sayuri Ogawa

A prediction method for estimation of sales based on Prophet with a consideration of nonlinear events and conditions by a modified Optuna is proposed. Linear prediction does not work for a long-term sales prediction because purchasing actions are based on essentially nonlinear customers’ behavior. One of nonlinear prediction methods is… Read full abstract & cite →

Prediction method nonlinearity prophet optuna typhoon event modified optuna mean and standard deviation adjustment

Abstract doi.org/10.14569/IJACSA.2022.0130809 PDF

10

Encryption Algorithms Modeling in Detecting Man in the Middle Attack in Medical Organizations

Author 1: Sulaiman Alnasser Author 2: Raed Alsaqour

A cyberattack is a serious crime that could affect medical organizations. These attacks could affect medical organization sensitive data disclosure, loss of organization data, or the business's continuity. The Man-in-The-Middle (MITM) attack is one of the threats that could impact medical organizations. It happens when unapproved outsiders break into the… Read full abstract & cite →

Cyberattack medical organization man in the middle attack encryption algorithm rivest shamir adleman algorithm elliptic curve cryptography algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130810 PDF

11

A Smart Decision Making System for the Optimization of Manufacturing Systems Maintenance using Digital Twins and Ontologies

Author 1: ABADI Mohammed Author 2: ABADI Chaimae Author 3: ABADI Asmae Author 4: BEN-AZZA Hussain

Now-a-days manufacturing processes are becoming more and more complex which constantly complicate the management of their life cycle. Although, in order to survive and maintain a good position in the competitive industrial context, industrials have understood that they must optimize the whole life cycle of their manufacturing processes. The maintenance… Read full abstract & cite →

Maintenance systems maintenance policy digital twin reasoning ontologies automation cyber-physical interoperability decision making artificial intelligence

Abstract doi.org/10.14569/IJACSA.2022.0130811 PDF

12

An Improved Arabic Sentiment Analysis Approach using Optimized Multinomial Naïve Bayes Classifier

Author 1: Ahmed Alsanad

Arabic sentiment analysis has emerged during the last decade as a computational process on Arabic texts for extracting people's attitudes toward targeted objects or their feelings and emotions regarding targeted events. Sentiment analysis (SA) using machine learning (ML) methods has become an important research task for developing various text-based applications… Read full abstract & cite →

Machine learning Arabic sentiment analysis optimized multinomial Naïve Bayes (MNNB) classifier hyper-parameters optimization

Abstract doi.org/10.14569/IJACSA.2022.0130812 PDF

13

Erratic Navigation in Lecture Videos using Hybrid Text based Index Point Generation

Author 1: Geeta S Hukkeri Author 2: R. H. Goudar

The difficulty in lecture videos is an erratic navigation in lecture video for watching only the needed portion of video content. Machine learning technologies like Optical Character Recognition and Automatic Speech Recognition allows to easily fetch the information that is hybrid text from lecture slides and audio respectively. This paper… Read full abstract & cite →

Automatic speech recognition indexing key-frames lecture video optical character recognition title identification text extraction

Abstract doi.org/10.14569/IJACSA.2022.0130813 PDF

14

High Capacity Image Steganography System based on Multi-layer Security and LSB Exchanging Method

Author 1: Rana Sami Hameed Author 2: Siti Salasiah Mokri Author 3: Mustafa Sabah Taha Author 4: Mustafa Muneeb Taher

Data security is becoming an important issue because of the vast use of the Internet and data transfer from one place to another. Security of these data is essential, especially when these data represent critical information. There are several techniques used to hide these data, such as encryption. Steganography can… Read full abstract & cite →

Information hiding steganography cryptography multi-layer security high capacity component

Abstract doi.org/10.14569/IJACSA.2022.0130814 PDF

15

Recognition of Odia Character in an Image by Dividing the Image into Four Quadrants

Author 1: Aradhana Kar Author 2: Sateesh Kumar Pradhan

This paper deals with optical character recognition of Odia characters written in a particular font family ‘AkrutiOriAshok-99’ with different font sizes 18, 20, 22, 24, 26, 28, 36, 48 and 72 in Bold style. The font ‘AkrutiOriAshok-99’ is a font from the typing software ‘Akruti’. The basic idea behind the… Read full abstract & cite →

Odia characters image processing character decomposition machine learning optical character recognition

Abstract doi.org/10.14569/IJACSA.2022.0130815 PDF

16

Enhancement of Design Level Class Decomposition using Evaluation Process

Author 1: Bayu Priyambadha Author 2: Tetsuro Katayama

Refactoring on the design level artifact such as the class diagram was already done using the threshold-based agglomerative hierarchical clustering method, specifically class decomposition. The approach produced a better cluster based on the label name similarity of attribute and method. But, some problems emerge from the experiment result. The negative… Read full abstract & cite →

Refactoring design level refactoring software refactoring class decomposition software quality

Abstract doi.org/10.14569/IJACSA.2022.0130816 PDF

17

A Multi-Objective Optimization for Supply Chain Management using Artificial Intelligence (AI)

Author 1: Mohamed Hassouna Author 2: Ibrahim El-henawy Author 3: Riham Haggag

Supply chain management seeks to solve the complex problems of transporting goods from the suppliers to the end customers. Improving the differentiation between different paths to reduce costs and time may require smart systems. This paper proposes two new algorithms for determining, with Multi-Objective Optimization, the least cost and the… Read full abstract & cite →

Supply chain management artificial intelligence particle swarm optimization ant colony optimization and multi-objective optimization

Abstract doi.org/10.14569/IJACSA.2022.0130817 PDF

18

Cylinder Liner Defect Detection and Classification based on Deep Learning

Author 1: Chengchong Gao Author 2: Fei Hao Author 3: Jiatong Song Author 4: Ruwen Chen Author 5: Fan Wang Author 6: Benxue Liu

The machine vision-based defect detection for cylinder liner is a challenging task due to irregular shape, various and small defects on the cylinder liner surface. To improve the accuracy of defect detection by machine vision a deep learning-based defect detection method for cylinder liner was explored in this paper. First… Read full abstract & cite →

Cylinder liner defect detection deep learning machine vision

Abstract doi.org/10.14569/IJACSA.2022.0130818 PDF

19

Mobile Payment Transaction Model with Robust Security in the NFC-HCE Ecosystem with Secure Elements on Smartphones

Author 1: Lucia Nugraheni Harnaningrum Author 2: Ahmad Ashari Author 3: Agfianto Eko Putra

The Near Field Communication embedded (NFC-embedded) smartphone consists of two ecosystems, namely Near Field Communication Subscriber Identity Module Secure Element (NFC-SIM-SE) and Near Field Communication Host Card Emulation (NFC-HCE). NFC-SIM-SE places secure elements in smartphones, while NFC-HCE places secure elements in the cloud. In terms of security, the location of… Read full abstract & cite →

Transaction near field communication mobile secure element encryption

Abstract doi.org/10.14569/IJACSA.2022.0130819 PDF

20

Observation of Imbalance Tracer Study Data for Graduates Employability Prediction in Indonesia

Author 1: Ferian Fauzi Abdulloh Author 2: Majid Rahardi Author 3: Afrig Aminuddin Author 4: Sharazita Dyah Anggita Author 5: Arfan Yoga Aji Nugraha

Tracer Study is a mandatory aspect of accreditation assessment in Indonesia. The Indonesian Ministry of Education requires all Indonesia Universities to anually report graduate tracer study reports to the government. Tracer study is also needed by the University in evaluating the success of learning that has been applied to the… Read full abstract & cite →

Tracer study support vector machine synthetic minority oversampling technique SMOTE employability

Abstract doi.org/10.14569/IJACSA.2022.0130820 PDF

21

Determining the Best Email and Human Behavior Features on Phishing Email Classification

Author 1: Ahmad Fadhil Naswir Author 2: Lailatul Qadri Zakaria Author 3: Saidah Saad

There are many email filters that have been developed for classifying spam and phishing email. However, there is still a lack of phishing email filters developed because of the complexity of feature extraction and selection of the data. There are several categories of features for classifying phishing emails, either on… Read full abstract & cite →

Phishing phishing email classification features selection binary classification email features human features

Abstract doi.org/10.14569/IJACSA.2022.0130821 PDF

22

A Scalable Machine Learning-based Ensemble Approach to Enhance the Prediction Accuracy for Identifying Students at-Risk

Author 1: Swati Verma Author 2: Rakesh Kumar Yadav Author 3: Kuldeep Kholiya

Among the educational data mining problems, the early prediction of the students' academic performance is the most important task, so that timely and requisite support may be provided to the needy students. Machine learning techniques may be used as an important tool for predicting low-performers in educational institutions. In the… Read full abstract & cite →

Educational data mining resampling methods feature selection technique machine learning imbalanced data

Abstract doi.org/10.14569/IJACSA.2022.0130822 PDF

23

AI-based Academic Advising Framework: A Knowledge Management Perspective

Author 1: Ghazala Bilquise Author 2: Khaled Shaalan

Academic advising has become a critical factor of students’ success as universities offer a variety of programs and courses in their curriculum. It is a student-centered initiative that fosters a student’s involvement with the institution by supporting students in their academic progression and career goals. Managing the knowledge involved in… Read full abstract & cite →

Knowledge management artificial intelligence academic advising rule-based expert system machine learning chatbot conversational agent

Abstract doi.org/10.14569/IJACSA.2022.0130823 PDF

24

An Adaptation Layer for Hardware Restrictions of Quadruple-Level Cell Flash Memories

Author 1: Se Jin Kwon

In recent years, major flash memory vendors have produced SSDs and fusion memories as substitution for hard disks. However, there has been a lack of studies on access restriction of QLC flash memory, since most researches have targeted small capacity flash memory. As a solution, we propose to implement an… Read full abstract & cite →

Cache storage flash memory SSD nonvolatile memory

Abstract doi.org/10.14569/IJACSA.2022.0130824 PDF

25

Improving Internet of Things Platform with Anomaly Detection for Environmental Sensor Data

Author 1: Okyza Maherdy Prabowo Author 2: Suhono Harso Supangkat Author 3: Eueung Mulyana Author 4: I Gusti Bagus Baskara Nugraha

Internet of things has an essential role in various application domains. The number of Internet of Things applications makes researchers try to formulate how to design the architecture of the Internet of Things platform so that it can be used generically in various domains. Commonly used architectural designs consist of… Read full abstract & cite →

Anomaly detection sensor data multivariate Internet of Things smart system

Abstract doi.org/10.14569/IJACSA.2022.0130825 PDF

26

Math Balance Aids based on Internet of Things for Arithmetic Operational Learning

Author 1: Novian Anggis Suwastika Author 2: Yovan Julio Adam Author 3: Rizka Reza Pahlevi Author 4: Maslin Masrom

Industry 4.0 has changed various aspects of human life towards an era heavily influenced by information technology. The impact of industry 4.0 on the education sector has led to the emergence of the term education 4.0. The Internet of Things (IoT) is one of the pillars of industry 4.0. With… Read full abstract & cite →

Arithmetic operation education 4.0 internet of things development math balance aids

Abstract doi.org/10.14569/IJACSA.2022.0130826 PDF

27

An Efficient Patient Activity Recognition using LSTM Network and High-Fidelity Body Pose Tracking

Author 1: Thanh-Nghi Doan

The need for healthcare services is growing, particularly in light of the COVID-19 epidemic's convoluted trajectory. This causes overcrowding in medical facilities, making it difficult to manage, treat, and monitor patients' health. Therefore, a method to remotely observe the patient's behavior is required, to aid in early warning and treatment… Read full abstract & cite →

Human body pose tracking LSTM raspberry Pi 4 patient monitoring system

Abstract doi.org/10.14569/IJACSA.2022.0130827 PDF

28

A Covid-19 Positive Case Prediction and People Movement Restriction Classification

Author 1: I Made Artha Agastya

The world experienced a pandemic that changed people's daily life due to Coronavirus Disease 2019 (covid-19). In Jakarta, the covid-19 cases were discovered on March 18, 2020, and the case increased uncontrollably until the government conducted a movement restriction called pembatasan sosial berskala besar (PSBB). The effectivity of movement restriction… Read full abstract & cite →

Covid-19 movement restriction machine learning positive case infected prediction

Abstract doi.org/10.14569/IJACSA.2022.0130828 PDF

29

Evaluation of Parameter Fine-Tuning with Transfer Learning for Osteoporosis Classification in Knee Radiograph

Author 1: Usman Bello Abubakar Author 2: Moussa Mahamat Boukar Author 3: Steve Adeshina

Osteoporosis is a bone disease that raises the risk of fracture due to the density of the bone mineral being low and the decline of the structure of bone tissue. Among other techniques, such as Dual-Energy X-ray Absorptiometry (DXA), 2D x-ray pictures of the bone can be used to detect… Read full abstract & cite →

Osteoporosis transfer learning models convolutional neural network fine-tuning

Abstract doi.org/10.14569/IJACSA.2022.0130829 PDF

30

Dangerous Goods Container Location Allocation Strategy based on Improved NSGA-II Algorithm

Author 1: Xinmei Zhang Author 2: Nannan Liang Author 3: Chen Chen

The characteristics of port dangerous goods are complicated and diverse in danger, which is very likely to cause chain effects once a fire and explosion accident occurs. Based on the distribution characteristics of dangerous goods container yards and the special national storage requirements for dangerous goods containers, the paper establishes… Read full abstract & cite →

Dangerous goods containers container allocation improved NSGA-II algorithm entropy weight-TOPSIS

Abstract doi.org/10.14569/IJACSA.2022.0130830 PDF

31

Word by Word Labelling of Romanized Sindhi Text by using Online Python Tool

Author 1: Irum Naz Sodhar Author 2: Abdul Hafeez Buller Author 3: Suriani Sulaiman Author 4: Anam Naz Sodhar

Sindhi is one of the most ancient languages in the world and it has its own written and spoken scripts. After the rigorous study it was found that a lot of research work has been done in different languages, but word by word labelling of Sindhi language had not been… Read full abstract & cite →

Romanized sindhi word labelling rule-based model POS tagging SindhiNLP tool

Abstract doi.org/10.14569/IJACSA.2022.0130831 PDF

32

Forest Fires Detection using Deep Transfer Learning

Author 1: Mimoun YANDOUZI Author 2: Mounir GRARI Author 3: Idriss IDRISSI Author 4: Mohammed BOUKABOUS Author 5: Omar MOUSSAOUI Author 6: Mostafa AZIZI Author 7: Kamal GHOUMID Author 8: Aissa KERKOUR ELMIAD

Forests are vital ecosystems composed of various plant and animal species that have evolved over years to coexist. Such ecosystems are often threatened by wildfires that can start either naturally, as a result of lightning strikes, or unintentionally caused by humans. In general, human-caused fires are more severe and expensive… Read full abstract & cite →

Forest fires wildfires deep learning transfer learning computer vision convolutional neural networks (CNN)

Abstract doi.org/10.14569/IJACSA.2022.0130832 PDF

33

An Enhancement Technique to Diagnose Colon and Lung Cancer by using Double CLAHE and Deep Learning

Author 1: Nora yahia Ibrahim Author 2: Amira Samy Talaat

The most common and deadly cancers are lung and colon cancers. More than a quarter of all cancer cases are caused by them. Early detection of the disease, on the other hand, greatly raises the probability of survival. Image enhancement by Double CLAHE stages and modified neural networks are made… Read full abstract & cite →

Artificial intelligent system machine learning cancer detection image classification deep learning

Abstract doi.org/10.14569/IJACSA.2022.0130833 PDF

34

Mobile Applications for the Implementation of Health Control against Covid-19 in Educational Centers, a Systematic Review of the Literature

Author 1: Bryan Quispe-Lavalle Author 2: Fernando Sierra-Liñan Author 3: Michael Cabanillas-Carbonell

A health crisis caused by the SARS-CoV-2 virus is still ongoing. That is why an important factor for the resumption of on-site classes is the creation of sanitary measures to help control Covid-19. The present research is a literature review, The PRISMA methodology is used and 265 articles are collected… Read full abstract & cite →

Mobile application sanitary control systematic review digital technologies

Abstract doi.org/10.14569/IJACSA.2022.0130834 PDF

35

Modelling of IoT-WSN Enabled ECG Monitoring System for Patient Queue Updation

Author 1: Parminder Kaur Author 2: Hardeep Singh Saini Author 3: Bikrampal Kaur

The advancement of communication technologies has led to the interconnection of different sensors using the Internet of Things (IoT) and Wireless Sensor Network (WSN). WSN for healthcare applications has expanded exponentially due to evolving advantages such as low power requirement of sensors, transmission accuracy, and cost-efficiency. For heart attack patients… Read full abstract & cite →

WSN cloud ECG monitoring wearable sensors IoT queue updation

Abstract doi.org/10.14569/IJACSA.2022.0130835 PDF

36

A Proposed Deep Learning based Framework for Arabic Text Classification

Author 1: Mostafa Sayed Author 2: Hatem Abdelkader Author 3: Ayman E. Khedr Author 4: Rashed Salem

Deep learning has become one of the crucial trends in the modern era due to the huge amount of data that has become available. This paper aims to investigate and improve a generic framework for Arabic Text Classification (ATC) with different deep learning techniques. Besides, it deals directly with a… Read full abstract & cite →

Text classification arabic text classification scaled conjugate gradient TF-IDF GDX ICW

Abstract doi.org/10.14569/IJACSA.2022.0130836 PDF

37

Simultaneous Importance-Performance Analysis based on SWOT in the Service Domain of Electronic-based Government Systems

Author 1: Tenia Wahyuningrum Author 2: Gita Fadila Fitriana Author 3: Arief Rais Bahtiar Author 4: Aina Azalea Author 5: Darwan

Decision makers for decades have used SWOT analysis for strategic planning. However, the problems that arise in the SWOT analysis are subjective, so decision-making becomes inefficient. Therefore, SWOT analysis is often combined with other methods to make decision-making strategies more focused and measurable according to priority interests. The SWOT analysis… Read full abstract & cite →

Importance performance analysis strength weakness opportunity threat analysis service quality electronic based government systems

Abstract doi.org/10.14569/IJACSA.2022.0130837 PDF

38

Federated Learning and its Applications for Security and Communication

Author 1: Hafiz M. Asif Author 2: Mohamed Abdul Karim Author 3: Firdous Kausar

The not so long ago, Artificial Intelligence (AI) has revolutionized our life by giving rise to the idea of self-learning in different environments. Amongst its different variants, Federated Learning (FL) is a novel approach that relies on decentralized communication data and its associated training. While reducing the amount of data… Read full abstract & cite →

Federated learning communication security deep learning Artificial Intelligence

Abstract doi.org/10.14569/IJACSA.2022.0130838 PDF

39

Machine Learning in OCR Technology: Performance Analysis of Different OCR Methods for Slide-to-Text Conversion in Lecture Videos

Author 1: Geeta S Hukkeri Author 2: R H Goudar Author 3: Prashant Janagond Author 4: Pooja S Patil

A significant percentage of a lecture video's content shown is text. Video text can therefore be a crucial source for automated video indexing. Researchers have recognised printed and handwritten text extracted from pictures using a variety of machine learning techniques and tools before digitising it. A machine learning technology called… Read full abstract & cite →

Video lectures keyframes Google cloud vision (GCV) Tesseract Abbyy Finereader Transym text extraction

Abstract doi.org/10.14569/IJACSA.2022.0130839 PDF

40

Disease Prediction Model based on Neural Network ARIMA Algorithm

Author 1: Kedong Li

Because the morbidity data of infectious diseases do not only have a single linear or nonlinear characteristic, but also have both linear and nonlinear characteristics, the combination model prediction method is often used to predict the morbidity of infectious diseases in recent years. Compared with the single model prediction analysis… Read full abstract & cite →

Disease prevention and control trend prediction neural network combination model ARIMA algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130840 PDF

41

Evaluation of Spiral Pattern Watermarking Scheme for Common Attacks to Social Media Images

Author 1: Tiew Boon Li Author 2: Jasni Mohamad Zain Author 3: Syifak Izhar Hisham Author 4: Alya Afikah Usop

The 21st century might be considered the "boom" period for social networking due to the fast expansion of social media use. In terms of user privacy and security regulations, a plethora of new requirements, issues, and concerns have arisen due to the proliferation of social media. With the increase in… Read full abstract & cite →

Spiral pattern fragile watermarking social media LSB substitution

Abstract doi.org/10.14569/IJACSA.2022.0130841 PDF

42

Computational Study of Quantum Coherence from Classical Nonlinear Compton Scattering with Strong Fields

Author 1: Huber Nieto-Chaupis

From the covariant formulation of radiation intensity of Hartemann-Kerman model entirely constructed in the classical electrodynamics scenario, a formulation of coherent states has been obtained in an explicit manner represented by the infinite sum of integer-order Bessel functions. Both linear and nonlinear Compton scattering are included, suggesting that Compton processes… Read full abstract & cite →

Quantum coherence bessel compton scattering

Abstract doi.org/10.14569/IJACSA.2022.0130842 PDF

43

Cybersecurity Risk Assessment: Modeling Factors Associated with Higher Education Institutions

Author 1: Rachel Ganesen Author 2: Asmidar Abu Bakar Author 3: Ramona Ramli Author 4: Fiza Abdul Rahim Author 5: Md Nabil Ahmad Zawawi

Most universities rely heavily on Information Technology (IT) to process their information and support their vision and mission. This rapid advancement in internet technology leads to increased cyberattacks in Higher Education Institutions (HEIs). To secure their infrastructure from cyberattacks, they must implement the best cybersecurity risk management approach, which involves… Read full abstract & cite →

Cyber security risk assessment university

Abstract doi.org/10.14569/IJACSA.2022.0130843 PDF

44

Acne Classification with Gaussian Mixture Model based on Texture Features

Author 1: Alfa Nadhya Maimanah Author 2: Wahyono Author 3: Faizal Makhrus

This paper presents an acne detection method on face images using a Gaussian Mixture Model (GMM). First, the skin area in the face image is segmented based on color information using the GMM. Second, the candidates of the acne region are then extracted using a Laplacian of Gaussian-based blob detection… Read full abstract & cite →

Acne GLCM Gabor filter Gaussian mixture model

Abstract doi.org/10.14569/IJACSA.2022.0130844 PDF

45

Learning Content Classification and Mapping Content to Synonymous Learners based on 2022 Augmented Verb List of Marzano and Kendall Taxonomy

Author 1: S. Celine Author 2: M. Maria Dominic Author 3: F. Sagayaraj Fransis Author 4: M. Savitha Devi

Finding suitable learning content for learners with different learning styles is a challenging task in the learning process. Hence it is essential to follow some learning taxonomies to deliver learner-centric learner content. Learning taxonomies are used to express various learning practices and learning habits to be followed by the learner… Read full abstract & cite →

Learning taxonomies marzano and kendall taxonomy personalization XG boost deep neural network CNN property graph action verbs content classification

Abstract doi.org/10.14569/IJACSA.2022.0130845 PDF

46

The Hybrid Combinatorial Design-based Session Key Distribution Method for IoT Networks

Author 1: Gundala Venkata Hindumathi Author 2: D. Lalitha Bhaskari

Internet of Things (IoT) is currently being used in a range of applications as cutting-edge technology. IoT is a technological platform that connects the physical and digital worlds, allowing us to use things remotely. Various sensor-connected nodes serve as objects that communicate with one another over the internet. Hence security-related… Read full abstract & cite →

Key distribution hybrid combinatorial design IoT networks resource constraint nodes symmetric key generation

Abstract doi.org/10.14569/IJACSA.2022.0130846 PDF

47

Automated Study Plan Generator using Rule-based and Knapsack Problem

Author 1: Muhammad Amin Mustapa Author 2: Lizawati Salahuddin Author 3: Ummi Rabaah Hashim

Undergraduate students are given the flexibility of arranging courses throughout their study duration especially when they are eligible for credit exemption for the courses taken during their diploma study. Issues arise when students arrange their studies manually. Improper course arrangement in the study plan may be resulting some of the… Read full abstract & cite →

Knapsack problem rule-based study plan undergraduate credit exemption

Abstract doi.org/10.14569/IJACSA.2022.0130847 PDF

48

Combining Multiple Classifiers using Ensemble Method for Anomaly Detection in Blockchain Networks: A Comprehensive Review

Author 1: Sabri Hisham Author 2: Mokhairi Makhtar Author 3: Azwa Abdul Aziz

Blockchain is one of the most anticipated technology revolutions, with immense promise in various applications. It is a distributed and encrypted database that can address a range of challenges connected to online security and trust. While many people identify Blockchain with cryptocurrencies such as Bitcoin, it has a wide range… Read full abstract & cite →

Blockchain Ethereum Bitcoin ensemble anomaly detection

Abstract doi.org/10.14569/IJACSA.2022.0130848 PDF

49

A Novel Hybrid Sentiment Analysis Classification Approach for Mobile Applications Arabic Slang Reviews

Author 1: Rabab Emad Saudy Author 2: Alaa El Din M. El-Ghazaly Author 3: Eman S. Nasr Author 4: Mervat H. Gheith

Arabic language incurs from the shortage of accessible huge datasets for Sentiment Analysis (SA), Machine Learning (ML), and Deep Learning (DL) applications. In this paper, we present MASR, a simple Mobile Applications Arabic Slang Reviews dataset for SA, ML, and DL applications which comprises of 2469 Egyptian Mobile Apps reviews… Read full abstract & cite →

Arabic sentiment analysis mobile application hybrid classification model hybrid supervised classification approach Google play store random forest logistic regression neural network multi-layer perceptron neural network machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2022.0130849 PDF

50

User Evaluation of UbiQuitous Access Learning (UQAL) Portal: Measuring User Experience

Author 1: Nazlena Mohamad Ali Author 2: Wan Fatimah Wan Ahmad Author 3: Zainab Abu Bakar

The goal of user experience (UX) research in human-computer interaction is to understand how humans interact with technology. This paper aimed to evaluate the interface and user experience of UbiQuitous Access Learning Portal (UQAL) and make recommendations for the system interface. UQAL Portal is an e-learning web portal that teaches… Read full abstract & cite →

User experience questionnaire user experience user interface heuristic evaluation

Abstract doi.org/10.14569/IJACSA.2022.0130850 PDF

51

Design of a Cloud-Blockchain-based Secure Internet of Things Architecture

Author 1: Deepti Rani Author 2: Nasib Singh Gill Author 3: Preeti Gulia

The growing number of Internet of Things (IoT) objects and the operational and security challenges in IoT systems are encouraging researchers to design suitable IoT architecture. Enormous data generated in the IoT environment face several kinds of security and privacy challenges. IoT system generally suffers from several issues like data… Read full abstract & cite →

Internet of things cloud computing blockchain iot architecture security and services

Abstract doi.org/10.14569/IJACSA.2022.0130851 PDF

52

Medical Big Data Analysis using Binary Moth-Flame with Whale Optimization Approach

Author 1: Saka Uma Maheswara Rao Author 2: K Venkata Rao Author 3: Prasad Reddy PVGD

The accurate analysis of medical data is dependent on early disease detection and the value of accuracy is reduced when the medical data quality is poor. However, existing techniques have lower efficiency in handling heterogeneous medical data and the complexity of the features was not enhanced using an optimal feature… Read full abstract & cite →

Binary moth-flame optimization complexity of the features medical data long short term memory spark streaming layers whale optimization algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130852 PDF

53

Implementation of a Mobile Application based on the Convolutional Neural Network for the Diagnosis of Pneumonia

Author 1: Jazmin Flores-Rodriguez Author 2: Michael Cabanillas-Carbonell

Pneumonia is the main cause of infant mortality in Peru, which has led to plansfig, such as vaccination campaigns, greater economic investment in health, and the strengthening of specialized medical personnel, however, mortality rates remain high. In this sense, the implementation of new computer technologies such as Deep Learning through… Read full abstract & cite →

Pneumonia convolutional neural network deep learning chest x-rays

Abstract doi.org/10.14569/IJACSA.2022.0130853 PDF

54

Parameter Estimation in Computational Systems Biology Models: A Comparative Study of Initialization Methods in Global Optimization

Author 1: Muhammad Akmal Remli Author 2: Nor-Syahidatul N.Ismail Author 3: Noor Azida Sahabudin Author 4: Nor Bakiah Abd Warif

This paper compares different initialization methods and investigates their performance and effects on estimating kinetic parameters’ value in models of biological systems. Estimating parameters values is difficult and time-consuming process due to their highly nonlinear and huge number of kinetic parameters involved. Global optimization method based on an enhanced scatter… Read full abstract & cite →

Metaheuristic opposition-based learning kinetic parameters initialization method metabolic engineering

Abstract doi.org/10.14569/IJACSA.2022.0130854 PDF

55

Determinants of Information Security Awareness and Behaviour Strategies in Public Sector Organizations among Employees

Author 1: Al-Shanfari I Author 2: Warusia Yassin Author 3: Nasser Tabook Author 4: Roesnita Ismail Author 5: Anuar Ismail

In this digital era, protecting an organisation's sensitive information system assets against cyberattacks is challenging. Globally, organisations spend heavily on information security (InfoSec) technological countermeasures. Public and private sectors often fail to secure their information assets because they depend primarily on technical solutions. Human components create the bulk of cybersecurity… Read full abstract & cite →

Information security awareness behaviour strategies self-administered questionnaire structural equation modelling (SEM)

Abstract doi.org/10.14569/IJACSA.2022.0130855 PDF

56

Novel Oversampling Algorithm for Handling Imbalanced Data Classification

Author 1: Anjali S. More Author 2: Dipti P. Rana

In the current age, the attention of researchers is immersed by numerous imbalanced data applications. These application areas are intrusion detection in security, fraud recognition in finance, medical applications dealing with disease diagnosis pilfering in electricity, and many more. Imbalanced data applications are categorized into two types: binary and multiclass… Read full abstract & cite →

Binary imbalance multiclass imbalance oversampling random forest classification classification

Abstract doi.org/10.14569/IJACSA.2022.0130856 PDF

57

Predicting Malicious Software in IoT Environment Based on Machine Learning and Data Mining Techniques

Author 1: Abdulmohsen Alharbi Author 2: Md. Abdul Hamid Author 3: Husam Lahza

The Internet of Things (IoT) enable the IoT to sense and respond using the power of computing to autonomously come up with the best solutions for any industry today. However, Internet of Things have vulnerabilities since it can be hacked by cybercriminals. The cybercriminals know where the IoT vulnerabilities are… Read full abstract & cite →

Machine learning internet of things malware predictive modeling cyber threats

Abstract doi.org/10.14569/IJACSA.2022.0130857 PDF

58

Power user Data Feature Matching Verification Model based on TSVM Semi-supervised Learning Algorithm

Author 1: Yakui Zhu Author 2: Rui Zhang Author 3: Xiaoxiao Lu

The existing model for identifying user data features based on smart meter data adopts a supervised learning method. Although the model has good identification performance under the condition of sufficient index samples, matching data are difficult to obtain and the marking cost is high in real life. The identification accuracy… Read full abstract & cite →

Power system data matching data characteristics semi-supervised learning algorithm load model

Abstract doi.org/10.14569/IJACSA.2022.0130858 PDF

59

Light Gradient Boosting with Hyper Parameter Tuning Optimization for COVID-19 Prediction

Author 1: Ferda Ernawan Author 2: Kartika Handayani Author 3: Mohammad Fakhreldin Author 4: Yagoub Abbker

The 2019 coronavirus disease (COVID-19) caused pandemic and a huge number of deaths in the world. COVID-19 screening is needed to identify suspected positive COVID-19 or not and it can reduce the spread of COVID-19. The polymerase chain reaction (PCR) test for COVID-19 is a test that analyzes the respiratory… Read full abstract & cite →

ROS light gradient boosting hyper parameter tuning COVID-19 screening blood and age based

Abstract doi.org/10.14569/IJACSA.2022.0130859 PDF

60

Surface Electromyography Signal Classification for the Detection of Temporomandibular Joint Disorder using Spectral Mapping Method

Author 1: Bormane D. S Author 2: Roopa B. Kakkeri Author 3: R. B. Kakkeri

Temporomandibular joint Disorder (TMD) is with multifaceted and complex signs and symptoms which makes day to day activities of an individual uneasy. Electromyographic (EMG) processing of related muscles recordings could provide an early and immediate detection of TMD. To detect the TMD using surface electromyography (SEMG) of Masseter and Temporalis… Read full abstract & cite →

Temporomandibular joint (TMJ) temporomandibular joint disorder (TMD) surface electromyography (sEMG) spectral mapping discrete wavelet transform (DWT)

Abstract doi.org/10.14569/IJACSA.2022.0130860 PDF

61

A Deep Learning Approach for Viral DNA Sequence Classification using Genetic Algorithm

Author 1: Ahmed El-Tohamy Author 2: Huda Amin Maghwary Author 3: Nagwa Badr

DNA sequence classification is one of the major challenges in biological data processing. The identification and classification of novel viral genome sequences drastically help in reducing the dangers of a viral outbreak like COVID-19. The more accurate the classification of these viruses, the faster a vaccine can be produced to… Read full abstract & cite →

Deep learning sequence classification convolutional neural networks genetic algorithm sequence encoding

Abstract doi.org/10.14569/IJACSA.2022.0130861 PDF

62

J-Selaras: New Algorithm for Automated Data Integration Tools

Author 1: Mustafa Man Author 2: Wan Aezwani Wan Abu Bakar Author 3: Mohd. Kamir Yusof Author 4: Norisah Abdul Ghani Author 5: Mohd Adza Arshad Author 6: Raja Normawati Raja Ayob Author 7: Kamarul Azhar Mahmood Author 8: Faizul Azwan Ariffin Author 9: Mohamad Dizi Che Kadir Author 10: Lily Mariya Rosli Author 11: Nurhafiza Binti Abu Yaziz

Data integration is a popular technique or method today for data converting and sharing within new application with different database format and location. The interaction of data from one application system to another application system requires an intermediary software or middleware that allows the data to be transferred or read… Read full abstract & cite →

Automated data integration algorithm bill of quantity (BQ) CostX single and multiple sheets J-Selaras tool

Abstract doi.org/10.14569/IJACSA.2022.0130862 PDF

63

Efficient Function Integration and a Case Study with Gompertz Functions for Covid-19 Waves

Author 1: Oliver Amadeo Vilca-Huayta Author 2: Ubaldo Yancachajlla Tito

Numerical algorithms are widely used in different applications, therefore, the execution time of the functions involved in numerical algorithms is important, and, in some cases, decisive, for example, in machine learning algorithms. Given a finite set of independent functions A(x), B(x), ..., Z(x) with domains defined by disjoint, consecutive, and… Read full abstract & cite →

Covid-19 corona virus function integration Gompertz model machine learning

Abstract doi.org/10.14569/IJACSA.2022.0130863 PDF

64

Enhancement of Low-Light Image using Homomorphic Filtering, Unsharp Masking, and Gamma Correction

Author 1: Tan Wan Yin Author 2: Kasthuri A/P Subaramaniam Author 3: Abdul Samad Bin Shibghatullah Author 4: Nur Farraliza Mansor

Now-a-days, a digital image can be found almost everywhere, and digital image processing plays a huge role in analyzing and enhancing the image so that it can be delivered in a good condition. Color distortion and loss of image details are the common problems that were faced by low-light image… Read full abstract & cite →

Low-light image gamma correction homomorphic filtering. low-light enhancement unsharp masking

Abstract doi.org/10.14569/IJACSA.2022.0130864 PDF

65

An Ensemble of Arabic Transformer-based Models for Arabic Sentiment Analysis

Author 1: Ikram El Karfi Author 2: Sanaa El Fkihi

In recent years, sentiment analysis has gained momentum as a research area. This task aims at identifying the opinion that is expressed in a subjective statement. An opinion is a subjective expression describing personal thoughts and feelings. These thoughts and feelings can be assigned with a certain sentiment. The most… Read full abstract & cite →

Transformers BERT ensemble learning Arabic sentiment analysis

Abstract doi.org/10.14569/IJACSA.2022.0130865 PDF

66

Grover’s Algorithm for Data Lake Optimization Queries

Author 1: Mohamed CHERRADI Author 2: Anass EL HADDADI

Now-a-days, the use of No-SQL databases is one of the potential options for storing and processing big data lakes. However, searching for large data in No-SQL databases is a complex and time-consuming task. Further, information retrieval from big data management suffers in terms of execution time. To reduce the execution… Read full abstract & cite →

Big data data management information retrieval quantum computing

Abstract doi.org/10.14569/IJACSA.2022.0130866 PDF

67

Inclusive Study of Fake News Detection for COVID-19 with New Dataset using Supervised Learning Algorithms

Author 1: Emad K. Qalaja Author 2: Qasem Abu Al-Haija Author 3: Afaf Tareef Author 4: Mohammad M. Al-Nabhan

Covid-19 imposes many bans and restrictions on news, individuals and teams, and thus social networks have become one of the most used platforms for sharing and destroying news, which can be either fake or true. Therefore, detecting fake news has become imperative and thus has drawn the attention of researchers… Read full abstract & cite →

Machine learning fake news twitter covid-19 correlation coefficient

Abstract doi.org/10.14569/IJACSA.2022.0130867 PDF

68

A 4-Layered Plan-Driven Model (4LPdM) to Improve Software Development

Author 1: Kamal Uddin Sarker Author 2: Aziz Bin Deraman Author 3: Raza Hasan Author 4: Ali Abbas

Quality is the degree of excellence of a product and one of the most important factors of software projects that mainly defines user satisfaction and success of the project. Software methodologies represent a variety of tasks, processes, and roles to manage time, cost, and quality. The invention, innovation, and diffusion… Read full abstract & cite →

Software development methodology project management 4-layered plan-driven model quality factors sustainability

Abstract doi.org/10.14569/IJACSA.2022.0130868 PDF

69

A New Model to Detect COVID-19 Coughing and Breathing Sound Symptoms Classification from CQT and Mel Spectrogram Image Representation using Deep Learning

Author 1: Mohammed Aly Author 2: Nouf Saeed Alotaibi

Deep Learning is a relatively new Artificial Intelligence technique that has shown to be extremely effective in a variety of fields. Image categorization and also the identification of artefacts in images are being employed in visual recognition. The goal of this study is to recognize COVID-19 artefacts like cough and… Read full abstract & cite →

COVID-19 median filter deep learning Mel-scale spectrogram sound classification constant-Q Transform

Abstract doi.org/10.14569/IJACSA.2022.0130869 PDF

70

MFCC and Texture Descriptors based Stuttering Dysfluencies Classification using Extreme Learning Machine

Author 1: Roohum Jegan Author 2: R. Jayagowri

Stuttering is a type of speech disorder which results in disrupted flow of speech in the form of unintentional repetitions and prolongation of sounds. Stuttering classification is important for speech pathology treatment and speech therapy techniques which decreases speech disfluency to some extent. In this article, a method for prolongation… Read full abstract & cite →

Voice disorder Mel-frequency cepstral coefficients gray level co-occurrence matrix GLRLM Laplacian score extreme learning machine

Abstract doi.org/10.14569/IJACSA.2022.0130870 PDF

71

Innovation Management Model as a Source of Business Competitiveness for Industrial SMEs

Author 1: Rafael Roosell Paez Advincula Author 2: Celso Gonzales Chavesta Author 3: Lilian Ocares-Cunyarachi

One of the main problems of small companies is not knowing how to properly manage investments, resources, strategies, tools and responsibilities to be more competitive, the research objective is the development of management and innovation processes required by the new company for its permanence in the market and decision making… Read full abstract & cite →

Competitiveness continuous improvement management optimization strategies

Abstract doi.org/10.14569/IJACSA.2022.0130871 PDF

72

A Cross Platform Contact Tracing Mobile Application for COVID-19 Infections using Deep Learning

Author 1: Josephat Kalezhi Author 2: Mathews Chibuluma Author 3: Christopher Chembe Author 4: Victoria Chama Author 5: Francis Lungo Author 6: Douglas Kunda

The COVID-19 pandemic has remained a global health crisis following the declaration by the World Health Organization. As a result, a number of mechanisms to contain the pandemic have been devised. Popular among these are contact tracing to identify contacts and carry out tests on them in order to minimize… Read full abstract & cite →

Contact tracing mobile application coronavirus COVID-19 deep neural networks

Abstract doi.org/10.14569/IJACSA.2022.0130872 PDF

73

A Hybrid 1D-CNN-Bi-LSTM based Model with Spatial Dropout for Multiple Fault Diagnosis of Roller Bearing

Author 1: Gangavva Choudakkanavar Author 2: J. Alamelu Mangai

Fault diagnosis of roller bearings is a crucial and challenging task to ensure the smooth functioning of modern industrial machinery under varying load conditions. Traditional fault diagnosis methods involve preprocessing of the vibration signals and manual feature extraction. This requires domain expertise and experience in extracting relevant features to accurately… Read full abstract & cite →

Fault diagnosis roller bearing deep learning 1D-CNN Bi-LSTM spatial dropout

Abstract doi.org/10.14569/IJACSA.2022.0130873 PDF

74

Building and Testing Fine-Grained Dataset of COVID-19 Tweets for Worry Prediction

Author 1: Tahani Soud Alharbi Author 2: Fethi Fkih

The COVID-19 outbreak has resulted in the loss of human life worldwide and has increased worry concerning life, public health, the economy, and the future. With lockdown and social distancing measures in place, people turned to social media such as Twitter to share their feelings and concerns about the pandemic… Read full abstract & cite →

COVID-19 sentiment analysis emotion analysis worry dataset concern analysis

Abstract doi.org/10.14569/IJACSA.2022.0130874 PDF

75

Local Pre-Conditioning and Quality Enhancement to Handle Different Data Complexities in Contactless Fingerprint Classification

Author 1: Deepika K C Author 2: G Shivakumar

Biometric authentication systems have always been a fascinating approach to meet personalized security. Among the major existing solutions fingerprint-biometrics have gained widespread attention; yet, guaranteeing scalability and reliability over real-time demands remains a challenge. Despite innovations, the recent COVID-19 pandemic has capped the efficacy of the existing touch-based two-dimensional fingerprint… Read full abstract & cite →

Ridge orientation Gabor filtering region masking ridge frequency contactless fingerprint

Abstract doi.org/10.14569/IJACSA.2022.0130875 PDF

76

English and Arabic Chatbots: A Systematic Literature Review

Author 1: Abeer S. Alsheddi Author 2: Lubna S. Alhenaki

In recent years, the availability of chatbot applications has increased substantially with the advancement of artificial intelligence techniques, and research efforts have been active in the English language, which presents state-of-the-art solutions. However, despite the popularity of the Arabic language, its research community is still in an immature stage. Therefore… Read full abstract & cite →

Chatbots Arabic language development approaches domain applications evaluation metrics

Abstract doi.org/10.14569/IJACSA.2022.0130876 PDF

77

Duality at Classical Electrodynamics and its Interpretation through Machine Learning Algorithms

Author 1: Huber Nieto-Chaupis

The aim of this paper is to investigate the hypothetical duality of classical electrodynamics and quantum mechanics through the usage of Machine Learning principles. Thus, the Mitchell’s criteria are used. Essentially this paper is focused on the radiated energy by a free electron inside an intense laser. The usage of… Read full abstract & cite →

Classical electrodynamics quantum mechanics machine learning principles mitchell’s criteria

Abstract doi.org/10.14569/IJACSA.2022.0130877 PDF

78

Approximate TSV-based 3D Stacked Integrated Circuits by Inexact Interconnects

Author 1: Mahmoud S. Masadeh

Three-Dimensional Stacked Integrated Circuit (3D-SICs) based on Through-Silicon Vias (TSVs) provide a high-density integration technology. However, integrating pre-tested dies requires post-bond interconnect testing, which is complex and costly. An imperfect TSV-based interconnect indicates a defective chip that should be rejected. Thus, it increases the yield loss and test cost. On… Read full abstract & cite →

Approximate computing Three-Dimensional Inte-grated Circuit (3D IC) Through-Silicon Via (TSV) testing approx-imate communications approximate interconnect yield energy efficiency

Abstract doi.org/10.14569/IJACSA.2022.0130878 PDF

79

IoT based Low-cost Posture and Bluetooth Controlled Robot for Disabled and Virus Affected People

Author 1: Tajim Md. Niamat Ullah Akhund Author 2: Mosharof Hossain Author 3: Khadizatul Kubra Author 4: Nurjahan Author 5: Alistair Barros Author 6: Md Whaiduzzaman

IoT-based robots can help people to a great extent. This work results in a low-cost posture recognizer robot that can detect posture signs from a disabled or virus-affected person and move accordingly. The robot can take images with the Raspberry Pi camera and process the image to identify the posture… Read full abstract & cite →

Internet of Things (IoT) Raspberry Pi Pi camera Pi robots hospital robots posture recognition robots

Abstract doi.org/10.14569/IJACSA.2022.0130879 PDF

80

Deepfakes on Retinal Images using GAN

Author 1: Yalamanchili Salini Author 2: J HariKiran

In Deep Learning (DL), Generative Adversarial Networks (GAN) are a popular technique for generating synthetic images, which require extensive and balanced datasets to train. These Artificial Intelligence systems can produce synthetic images that seem authentic, known as Deep Fakes. At present, data-driven approaches to classifying medical images are prevalent. However… Read full abstract & cite →

DeepFakes deep learning retinal fundus image synthesis segmentation generative adversarial network (GAN) variational autoencoder (VAE)

Abstract doi.org/10.14569/IJACSA.2022.0130880 PDF

81

A GIS and Fuzzy-based Model for Identification and Analysis of Accident Vulnerable Locations in Urban Traffic Management System: A Case Study of Bhubaneswar

Author 1: Sarita Mahapatra Author 2: Krishna Chandra Rath Author 3: Satya Ranjan Das

The world has seen road accident and its related societal and economical impact as one of the live, persisting problem in the last 2-3 decades and its prominence has been observed in the developing countries of the Asian subcontinent. With no exception, all major cities in India are facing the… Read full abstract & cite →

Road traffic management accident vulnerability GIS fuzzy inference fuzzy rules

Abstract doi.org/10.14569/IJACSA.2022.0130881 PDF

82

Novel Deep Learning Technique to Improve Resolution of Low-Quality Finger Print Image for Bigdata Applications

Author 1: Lisha P P Author 2: Jayasree V K

High-resolution images are highly in demand when they are utilized for different analysis purposes and obviously due to their quality aesthetic visual impact. The objective of image super-resolution (SR) is to reconstruct a high-resolution (HR) image from a low-resolution (LR)image. Storing, transferring and processing of high-resolution (HR) images have got… Read full abstract & cite →

Single image super-resolution convolution neural network biometric fingerprint images

Abstract doi.org/10.14569/IJACSA.2022.0130882 PDF

83

Mobile Application: A Proposal for the Inventory Management of Pharmaceutical Industry Companies

Author 1: Alfredo Leonidas Vasquez Ubaldo Author 2: Juan Andres Berrios Albines Author 3: Jose Luis Herrera Salazar Author 4: Laberiano Andrade-Arenas Author 5: Michael Cabanillas-Carbonell

In recent years, the development of mobile applications has been evolving and becoming more and more frequent. This event is positive, since it plays an important role in facing and mitigating the multiple adversities that appear in the different existing sectors, such as business. On the other hand, it was… Read full abstract & cite →

Inventory management mobile application pharmaceutical industry prototype RUP methodology

Abstract doi.org/10.14569/IJACSA.2022.0130883 PDF

84

A Deep Neural Network based Detection System for the Visual Diagnosis of the Blackberry

Author 1: Alejandro Rubio Author 2: Carlos Avendano Author 3: Fredy Martinez

Thanks to its geographical and climatic advantages, Colombia has a historically strong fruit-growing tradition. To date, the basis of its food and economic development in a significant part of its territory is based on a wide range of fruits. One of the most important in the central and western regions… Read full abstract & cite →

Automatic sorter blackberry deep neural network fruit handling image analysis

Abstract doi.org/10.14569/IJACSA.2022.0130884 PDF

85

A Comparative Analysis of Generative Neural Attention-based Service Chatbot

Author 1: Sinarwati Mohamad Suhaili Author 2: Naomie Salim Author 3: Mohamad Nazim Jambli

Companies constantly rely on customer support to deliver pre-and post-sale services to their clients through websites, mobile devices or social media platforms such as Twitter. In assisting customers, companies employ virtual service agents (chatbots) to provide support via communication devices. The primary focus is to automate the generation of conversational… Read full abstract & cite →

Sequence-to-sequence encoder-decoder service chatbot attention-based encoder-decoder Recurrent Neural Net-work (RNN) Long Short-Term Memory (LSTM) Gated Recurrent Unit (GRU) word embedding

Abstract doi.org/10.14569/IJACSA.2022.0130885 PDF

86

CapNet: An Encoder-Decoder based Neural Network Model for Automatic Bangla Image Caption Generation

Author 1: Rashik Rahman Author 2: Hasan Murad Author 3: Nakiba Nuren Rahman Author 4: Aloke Kumar Saha Author 5: Shah Murtaza Rashid Al Masud Author 6: A S Zaforullah Momtaz

Automatic caption generation from images has be-come an active research topic in the field of Computer Vision (CV) and Natural Language Processing (NLP). Machine generated image caption plays a vital role for the visually impaired people by converting the caption to speech to have a better understanding of their surrounding… Read full abstract & cite →

Bangla image caption generation encoder-decoder bidirectional long short term memory (LSTM) bangla natural language processing (NLP)

Abstract doi.org/10.14569/IJACSA.2022.0130886 PDF

87

An Improved K-Nearest Neighbor Algorithm for Pattern Classification

Author 1: Zinnia Sultana Author 2: Ashifatul Ferdousi Author 3: Farzana Tasnim Author 4: Lutfun Nahar

This paper proposed a “Locally Adaptive K-Nearest Neighbor (LAKNN) algorithm” for pattern exploration problem to enhance the obscenity of dimensionality. To compute neighborhood local linear discriminant analysis is an effective metric which determines the local decision boundaries from centroid information. KNN is a novel approach which uses in many classifications… Read full abstract & cite →

LANN algorithm Standard Euclidian Distance variance based Euclidian Distance feature extraction pattern classification

Abstract doi.org/10.14569/IJACSA.2022.0130887 PDF

88

An Approach to Detect Phishing Websites with Features Selection Method and Ensemble Learning

Author 1: Mahmuda Khatun Author 2: MD Akib Ikbal Mozumder Author 3: Md. Nazmul Hasan Polash Author 4: Md. Rakib Hasan Author 5: Khalil Ahammad Author 6: MD. Shibly Shaiham

Nowadays, phishing is a major problem on a global scale. Everyone must use the internet in today’s society in order to cope up in the real world. As a result, internet crime like phishing has become a serious issue throughout the world. This type of crime can be committed by… Read full abstract & cite →

Machine learning deep learning catboost LGBM embedded react-native flask

Abstract doi.org/10.14569/IJACSA.2022.0130888 PDF

89

A Prototype Implementation of a CUDA-based Customized Rasterizer

Author 1: Nakhoon Baek

In these days, we have high-performance massively parallel computing devices, as well as high-performance 3D graphics rendering devices. In this paper, we show a prototype implementation of a full-software 3D rasterizer system, based on the CUDA parallel architecture. While most of previous CUDA-based software rasterizer implementations focused on the triangle… Read full abstract & cite →

3D rasterization CUDA implementation OpenGL emulation

Abstract doi.org/10.14569/IJACSA.2022.0130889 PDF

90

Mobile App Design: Logging and Diagnostics of Respiratory Diseases

Author 1: Diana Cecilia Chavez Canari Author 2: Angel Vicente Garcia Obispo Author 3: Jose Luis Herrera Salazar Author 4: Laberiano Andrade-Arenas Author 5: Michael Cabanillas-Carbonell

Over the years, a wide variety of respiratory diseases have caused a high mortality rate throughout the world. This was again observed with the appearance of the pandemic, COVID-19. In addition, the most affected are people living in extreme poverty. The objective is design a mobile health application for the… Read full abstract & cite →

Mobile app Covid-19 diagnosis respiratory diseases RUP methodology

Abstract doi.org/10.14569/IJACSA.2022.0130890 PDF

91

Summarizing Event Sequence Database into Compact Big Sequence

Author 1: Mosab Hassaan

Detecting the core structure of a database is one of the most objective of data mining. Many methods do so, in pattern set mining, by mining a small set of patterns that together summarize the dataset in efficient way. The better of these patterns, the more effective summarization of the… Read full abstract & cite →

Sequence data compressing patterns mining minimum description length

Abstract doi.org/10.14569/IJACSA.2022.0130891 PDF

92

A Novel Big Data Intelligence Analytics Framework for 5G-Enabled IoT Healthcare

Author 1: Yassine Sabri Author 2: Ahmed Outzourhit

Intelligent networking is a concept that enables 5G, the Internet of Things (IoT) and artificial intelligence (AI) to combine as a way to accelerate technological innovation and develop new revolutionary digital services. In the intelligent connectivity vision, the digital information gathered by the machines, devices and sensors which make up… Read full abstract & cite →

Big data analytics 5G-enabled IoT healthcare fog computing confidentiality

Abstract doi.org/10.14569/IJACSA.2022.0130892 PDF

93

A New Learning to Rank Approach for Software Defect Prediction

Author 1: Sara Al-omari Author 2: Yousef Elsheikh Author 3: Mohammed Azzeh

Software defect prediction is one of the most active research fields in software development. The outcome of defect prediction models provides a list of the most likely defect-prone modules that need a huge effort from quality assurance teams. It can also help project managers to effectively allocate limited resources to… Read full abstract & cite →

Software engineering software testing software defect prediction learning to rank approach

Abstract doi.org/10.14569/IJACSA.2022.0130893 PDF

94

Utilizing Artificial Intelligence Techniques for Assisting Visually Impaired People: A Personal AI-based Assistive Application

Author 1: Samah Alhazmi Author 2: Mohammed Kutbi Author 3: Soha Alhelaly Author 4: Ulfat Dawood Author 5: Reem Felemban Author 6: Entisar Alaslani

Nowadays, the Artificial Intelligence (AI) field has made a significant change in the real life. Numerous applications use the AI techniques for the purpose of assisting people in different life aspects. Furthermore, with the increased number of people with visual difficulties around the world, there is a need for such… Read full abstract & cite →

Artificial intelligence machine learning assistive technology visually impaired

Abstract doi.org/10.14569/IJACSA.2022.0130894 PDF

95

Fashion Image Retrieval based on Parallel Branched Attention Network

Author 1: Sangam Man Buddhacharya Author 2: Sagar Adhikari Author 3: Ram Krishna Lamichhane

With the increase in vision-associated applications in e-commerce, image retrieval has become an emerging application in computer vision. Matching the exact user clothes from the database images is challenging due to noisy background, wide variation in orientation and lighting conditions, shape deformations, and the variation in the quality of the… Read full abstract & cite →

Convolutional neural network (CNN) image retrieval attention mechanism convolutional block attention module (CBAM)

Abstract doi.org/10.14569/IJACSA.2022.0130895 PDF

96

Watchdog Monitoring for Detecting and Handling of Control Flow Hijack on RISC-V-based Binaries

Author 1: Toyosi Oyinloye Author 2: Lee Speakman Author 3: Thaddeus Eze Author 4: Lucas O’Mahony

Control flow hijacking has been a major challenge in software security. Several means of protections have been developed but insecurities persist. This is because existing protections have sometimes been circumvented while some resilient protections do not cover all applications. Studies have revealed that a holistic way of tackling software insecurity… Read full abstract & cite →

Watchdog return oriented programming RISC-V control flow integrity software security

Abstract doi.org/10.14569/IJACSA.2022.0130896 PDF

97

Towards Flexible Transparent Authentication System for Mobile Application Security

Author 1: Abdullah Golam Author 2: Mohammed Abuhmoud Author 3: Umar Albalawi

Undoubtedly, Mobile Application Security (MAS) has made tremendous progress in implementing enhanced security protocols in the past decade. With the recent increase in the usage of mobile applications, concerns of privacy and security are increasing rapidly. Thus, the security measurement must be applied to satisfy security and privacy needs. On… Read full abstract & cite →

Transparent security authentication UX/UI for-getting password reset password biometric systems

Abstract doi.org/10.14569/IJACSA.2022.0130897 PDF

98

Computational Analysis based on Advanced Correlation Automatic Detection Technology in BDD-FFS System

Author 1: Xiao Zheng Author 2: Muhammad Tahir Author 3: Mingchu Li Author 4: Shaoqing Wang

Big Data-Driven Fabric Future Systems (BDD-FFS) is currently attracting widespread attention in the healthcare research community. Medical devices rely primarily on the intelligent Internet to gather important health-related information. According to this, we provide patients with deeply supportive data to help them through their recovery. However, due to the large… Read full abstract & cite →

Big data-driven fabric future systems (BDD-FFS) magnetic resonance imaging (MRI) partial tree

Abstract doi.org/10.14569/IJACSA.2022.0130898 PDF

99

Image Enhancement Method based on an Improved Fuzzy C-Means Clustering

Author 1: Libao Yang Author 2: Suzelawati Zenian Author 3: Rozaimi Zakaria

Image enhancement is an important method in the process of image processing. This paper proposes an image enhancement method base on an improved fuzzy c-means clustering. The method consists of the following steps: firstly, proposed a fuzzy c-means clustering with a cooperation center(FCM-co). Secondly, using the FCM-co, divide the image… Read full abstract & cite →

Image enhancement fuzzy clustering fuzzy c-means clustering membership objective function

Abstract doi.org/10.14569/IJACSA.2022.0130899 PDF

100

A New Hate Speech Detection System based on Textual and Psychological Features

Author 1: Fatimah Alkomah Author 2: Sanaz Salati Author 3: Xiaogang Ma

Hate speech often spreads on social media and harms individuals and the community. Machine learning models have been proposed to detect hate speech in social media; however, several issues presently limit the performance of current approaches. One challenge is the issue of having diverse comprehensions of hate speech constructs which… Read full abstract & cite →

Hate speech detection hate speech classification hate speech features hate speech methods

Abstract doi.org/10.14569/IJACSA.2022.01308100 PDF

101

Straggler Mitigation in Hadoop MapReduce Framework: A Review

Author 1: Lukuman Saheed Ajibade Author 2: Kamalrulnizam Abu Bakar Author 3: Ahmed Aliyu Author 4: Tasneem Danish

Processing huge and complex data to obtain useful information is challenging, even though several big data processing frameworks have been proposed and further enhanced. One of the prominent big data processing frameworks is MapReduce. The main concept of MapReduce framework relies on distributed and parallel processing. However, MapReduce framework is… Read full abstract & cite →

Big data blacklisting execution Hadoop MapReduce spark speculative execution straggler

Abstract doi.org/10.14569/IJACSA.2022.01308101 PDF

102

Blood Management System based on Blockchain Approach: A Research Solution in Vietnam

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

More and more new health care solutions are born based on the development of science and technology. The subjects who benefit the most, in this case, are not only patients (i.e., shorter healing time, faster recovery) but also medical staff, e.g., doctors/nurses (i.e., easy monitoring of the patient’s recovery process… Read full abstract & cite →

Blood donation in Vietnam blockchain hyperledger fabric blood products supply chain

Abstract doi.org/10.14569/IJACSA.2022.01308102 PDF

103

Letter-of-Credit Chain: Cross-Border Exchange based on Blockchain and Smart Contracts

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

The exchange of goods between countries is growing, contributing to the promotion of logistics-related technologies. More and more systems are adopting advances in science and engineering to reduce manual handling steps, thereby reducing transit time. Letter-of-Credit (LOC) is a standard method where the parties involved will enter into agreements for… Read full abstract & cite →

Letter-of-Credit blockchain smart contract authorization Ethereum Fantom Binance smart chain

Abstract doi.org/10.14569/IJACSA.2022.01308103 PDF

104

Enhanced Security: Implementation of Hybrid Image Steganography Technique using Low-Contrast LSB and AES-CBC Cryptography

Author 1: Edwar Jacinto G Author 2: Holman Montiel A Author 3: Fredy H. Martínez S

Now-a-days, sensitive and confidential information needs to be exchanged over open, public, and not secure networks such as the Internet. For this purpose, some information security techniques combine cryptographic and steganographic algorithms and image processing techniques to exchange information securely. Therefore, this research presents the implementation of an algorithm that… Read full abstract & cite →

Steganography cryptography LSB low contrast areas AES-CBC algorithm

Abstract doi.org/10.14569/IJACSA.2022.01308104 PDF

105

Secure and Efficient Implicit Certificates: Improving the Performance for Host Identity Protocol in IoT

Author 1: Zhaokang Lu Author 2: Jianzhu Lu

Implicit certificates own the shorter public key validation data. This property makes them appealing in resource-constrained IoT systems where public-key authentication is performed very often, which is common in Host Identity Protocol (HIP). However, it is still a critical challenge in IoT how to guarantee the security and efficiency of… Read full abstract & cite →

Authentication privacy implicit certificates internet of things (IoT) host identity security

Abstract doi.org/10.14569/IJACSA.2022.01308105 PDF