IJACSA Vol. 14 Issue 1 (2023)

1

Eye-tracking Analysis: College Website Visual Impact on Emotional Responses Reflected on Subconscious Preferences

Author 1: Hedda Martina Šola Author 2: Fayyaz Hussain Qureshi Author 3: Sarwar Khawaja

This study examined students’ behaviour on the college website and the content of information they were able to obtain. With the eye-tracking sensor, this study aims to investigate the university websites’ effectiveness, satisfaction, and efficiency and collect data regarding users' visual impacts. The research was carried out using mobile phone… Read full abstract & cite →

Neuromarketing eye-tracking student behavior college website analyses mood intensities visual impact website conversions

Abstract doi.org/10.14569/IJACSA.2023.0140101 PDF

2

Improving MapReduce Speculative Executions with Global Snapshots

Author 1: Ebenezer Komla Gavua Author 2: Gabor Kecskemeti

Hadoop’s MapReduce implementation has been employed for distributed storage and computation. Although efficient for parallelizing large-scale data processing, the chal-lenge of handling poor-performing jobs persists. Hadoop does not fix straggler tasks but instead launches equivalent tasks (also called a backup task). This process is called Speculative Execution in Hadoop. Current… Read full abstract & cite →

MapReduce Hadoop speculative executions strag-glers consistent global snapshots K-means algorithm

Abstract doi.org/10.14569/IJACSA.2023.0140102 PDF

3

Recognizing Safe Drinking Water and Predicting Water Quality Index using Machine Learning Framework

Author 1: Mohamed Torky Author 2: Ali Bakhiet Author 3: Mohamed Bakrey Author 4: Ahmed Adel Ismail Author 5: Ahmed I. B. EL Seddawy

Water quality monitoring, analysis, and prediction have emerged as important challenges in several uses of water in our life. Recent water quality problems have raised the need for artificial intelligence (AI) models for analyzing water quality, classifying water samples, and predicting water quality index (WQI). In this paper, a machine-learning… Read full abstract & cite →

Water quality artificial intelligence machine learning deep learning classification analysis and regression analysis

Abstract doi.org/10.14569/IJACSA.2023.0140103 PDF

4

Leaf-based Classification of Important Indigenous Tree Species by Different Feature Extraction Techniques and Selected Classification Algorithms

Author 1: Eugene Val D. Mangaoang Author 2: Jaime M. Samaniego

The machine learning algorithms, namely, k-Nearest Neighbor (KNN), Support Vector Machine (SVM), Back-Propagation (BP) networks, and Convolutional Neural Networks (CNN) are four of the mostly used classifiers. Different sets of features are required as input in different application domains. In this paper, a set of significant leaf features and classification… Read full abstract & cite →

Machine learning feature extraction convolutional neural network leaf classification

Abstract doi.org/10.14569/IJACSA.2023.0140104 PDF

5

A Novel Deep-learning based Approach for Automatic Diacritization of Arabic Poems using Sequence-to-Sequence Model

Author 1: Mohamed Saleh Mahmoud Author 2: Nermin Negied

Over the last 10 years, Arabic language have attracted researchers in the area of Natural Language Processing (NLP). A lot of research papers suddenly emerged in which the main work was the processing of Arabic language and its dialects too. Arabic language processing has been given a special name ANLP… Read full abstract & cite →

Text diacritization deep learning sequence-to-sequence regex tokenization ANLP

Abstract doi.org/10.14569/IJACSA.2023.0140105 PDF

6

An Investigation of Cybersecurity Issues of Remote Work during the COVID-19 Pandemic in Saudi Arabia

Author 1: Gaseb N Alotibi Author 2: Abdulwahid Al Abdulwahid

COVID-19 pandemic has dramatically changed the public life style as well as the daily work activities across the world. This indeed has led both public and private sectors to attempt to adapt thereby shifting to remote work and adopting and enabling new technologies and online services in order to sustain… Read full abstract & cite →

Cybersecurity issues investigative survey remote work COVID-19 Pandemic Saudi Arabia

Abstract doi.org/10.14569/IJACSA.2023.0140106 PDF

7

Patent Text Classification based on Deep Learning and Vocabulary Network

Author 1: Ran Li Author 2: Wangke Yu Author 3: Qianliang Huang Author 4: Yuying Liu

Patent documents are a special long text format, and traditional deep learning methods have insufficient feature extraction ability, which results in a weaker classification effect than ordinary text. Based on this, this paper constructs a text feature extraction method based on the lexical network, according to the inner relation between… Read full abstract & cite →

Text classification deep learning network vocabulary patent feature extraction

Abstract doi.org/10.14569/IJACSA.2023.0140107 PDF

8

IoT Technology for Intelligent Management of Energy, Equipment and Security in Smart House

Author 1: Fangmin Yuan Author 2: Yan Zhang Author 3: Junchao Zhang

The Internet of Things means that many of the daily devices used by humans will share their functions and information with each other or with humans by connecting to the Internet. The most important factor of the Internet of Things is the integration of several technologies and communication solutions. Identification… Read full abstract & cite →

Internet of things technology smart homes intelligent energy management fuzzy logic

Abstract doi.org/10.14569/IJACSA.2023.0140108 PDF

9

The Effect of Augmented Reality Mobile Application on Visitor Impact Mediated by Rational Hedonism: Evidence from Subak Museum

Author 1: Ketut Agustini Author 2: Dessy Seri Wahyuni Author 3: I Nengah Eka Mertayasa Author 4: Ni Made Ratminingsih Author 5: Gede Ariadi

This study expands our comprehension of museum visitor impact within a system quality, information quality, and augmented reality (AR) media content quality on mobile applications. Museums meet new defiance of escalating expectancies of their visitors. As a result of the universal mobile phone tool, AR has arisen as the latest… Read full abstract & cite →

System quality information quality augmented reality media content quality rational hedonism satisfaction experienced

Abstract doi.org/10.14569/IJACSA.2023.0140109 PDF

10

Developing a Computer Simulation to Study the Behavior of Factors Affecting the Flooding of the Gash River

Author 1: Abdalilah G. I. Alhalangy

In recent years, the city of Kassala has suffered from frequent flooding disasters in the Gash River, which is the city's lifeblood. But the problem of frequent flooding of the river has made it a life-threatening nightmare. The importance of research lies in the fact that it is one of… Read full abstract & cite →

Gash river flood simulation influencing factors to flood simulation

Abstract doi.org/10.14569/IJACSA.2023.0140110 PDF

11

Pinpointing Factors in the Success of Integrated Information System Toward Open Government Data Initiative: A Perspective from Employees

Author 1: Wahyu Setiawan Wibowo Author 2: Ahmad Fadhil Author 3: Dana Indra Sensuse Author 4: Sofian Lusa Author 5: Prasetyo Adi Wibowo Putro Author 6: Alivia Yulfitri

As the Supervisory Institution in Statistics, Badan Pusat Statistik (BPS) launched an integrated information system (IS) to exercise the Open Government Data (OGD) initiative and to impose the One Data Policy Act. Albeit challenges arise, BPS manages to provide more than 120 thousand publicly accessible datasets. With the success of… Read full abstract & cite →

Open data open government data OGD employees’ perspective ISSM UTAUT success factors acceptance impact integrated IS One Data Policy BPS SEM

Abstract doi.org/10.14569/IJACSA.2023.0140111 PDF

12

Autism Spectrum Disorder Detection: Video Games based Facial Expression Diagnosis using Deep Learning

Author 1: Morched Derbali Author 2: Mutasem Jarrah Author 3: Princy Randhawa

In this study, a novel method is proposed for determining whether a child between the ages of 3 and 10 has autism spectrum disorder. Video games have the ability to immerse a child in an intense and immersive environment. With the expansion of the gaming industry over the past decade… Read full abstract & cite →

Autism in children machine learning deep learning convolution neural network (CNN) video games prediction

Abstract doi.org/10.14569/IJACSA.2023.0140112 PDF

13

An Improved SVM Method for Movement Recognition of Lower Limbs by MIMU and sEMG

Author 1: Xu Yun Author 2: Xu Ling Author 3: Gao Lei Author 4: Liu Zhanhao Author 5: Shen Bohan

Aiming at the problems that the movement recognition accuracy of lower limbs needs to be improved, the optimized SVM recognition method by using voting mechanism is proposed in this paper. First, CS algorithm is applied to optimize the kernel function parameter and the penalty factor for SVM model. And then… Read full abstract & cite →

Surface electromyography micro inertial measurement unit support vector machine voting mechanism

Abstract doi.org/10.14569/IJACSA.2023.0140113 PDF

14

Bidirectional Recurrent Neural Network based on Multi-Kernel Learning Support Vector Machine for Transformer Fault Diagnosis

Author 1: Xun Zhao Author 2: Shuai Chen Author 3: Ke Gao Author 4: Lin Luo

Traditional neural network has many weaknesses, such as a lack of mining transformer timing relation, poor generalization of classification, and low classification accuracy of heterogeneous data. Aiming at questions raised, this paper proposes a bidirectional recurrent neural network model based on a multi-kernel learning support vector machine. Through a bidirectional… Read full abstract & cite →

Multi-kernel learning support vector machine bidirectional recurrent neural network fault diagnosis

Abstract doi.org/10.14569/IJACSA.2023.0140114 PDF

15

DataOps Lifecycle with a Case Study in Healthcare

Author 1: Shaimaa Bahaa Author 2: Atef Z. Ghalwash Author 3: Hany Harb

The DataOps methodology has become a solution to many of the difficulties faced by data science and analytics projects. This research introduces a novel DataOps lifecycle along with a detailed description of each phase. The proposed cycle enhances the implementation of data science and analytics projects for achieving business value… Read full abstract & cite →

DataOps lifecycle DataOps in machine learning DataOps in healthcare DataOps in data science feature extraction feature selection

Abstract doi.org/10.14569/IJACSA.2023.0140115 PDF

16

Evaluation of e-Service Quality Impacts Customer Satisfaction: One-Gate Integrated Service Application in Indonesian Weather Agency

Author 1: Aji Prasetyo Author 2: Deny Irawan Author 3: Dana Indra Sensuse Author 4: Sofian Lusa Author 5: Prasetyo Adi Wibowo Author 6: Alivia Yulfitri

Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) is the weather agency in Indonesia. It has One-Gate Integrated Service Application, also known as Pelayanan Terpadu Satu Pintu (PTSP) BMKG Application, which is a web-based e-commerce concept application. Its goal is to provide users with information and services related to Meteorology, Climatology, and… Read full abstract & cite →

e-Service quality one-gate integrated service e-government multivariate analysis Partial Least Square (PLS) Structural Equation Model (SEM)

Abstract doi.org/10.14569/IJACSA.2023.0140116 PDF

17

Investigating the Input Validation Vulnerabilities in C Programs

Author 1: Shouki A. Ebad

Input validation is a fairly universal programming practice that helps reduce the chances of producing protection-related vulnerabilities in software. In this paper, an experiment is conducted to specifically determine the input validation issues found in programs and the problematic functions that lead to such issues. The experiment evaluated 12 arbitrarily… Read full abstract & cite →

Input validation buffer overflow memory mismanagement safe C functions

Abstract doi.org/10.14569/IJACSA.2023.0140117 PDF

18

An Optimized Method for Polar Code Construction

Author 1: Issame El Kaime Author 2: Reda Benkhouya Author 3: Abdessalam Ait Madi Author 4: Hassane Erguig

Polar codes are traditionally constructed by calculating the reliability of channels, then sorting them by intensive calculations to select the most reliable channels. However, these operations can be complicated especially when, the polar code length, N becomes great. This paper proposes a new low-complexity procedure for polar codes construction over… Read full abstract & cite →

Polar codes SNR successive cancellation decoding error correction low-complexity code construction additive white Gaussian noise Bhattacharya parameter density evolution with Gaussian approximation

Abstract doi.org/10.14569/IJACSA.2023.0140118 PDF

19

Current Multi-factor of Authentication: Approaches, Requirements, Attacks and Challenges

Author 1: Ali Hameed Yassir Mohammed Author 2: Rudzidatul Akmam Dziyauddin Author 3: Liza Abdul Latiff

Now-a-days, with the rapid and broad emergence of local or remote access to services on the internet. Authentication represents an important security control requirement and the MFA is recommended to mitigate the weaknesses in the SFA. MFA techniques can be classified into two main approaches: based biometric and non-biometric approaches… Read full abstract & cite →

MFA authentication OTP cancelable biometrics security identity

Abstract doi.org/10.14569/IJACSA.2023.0140119 PDF

20

Arabic Dialogue Processing and Act Classification using Support Vector Machine

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

Text classification is the technique of grouping documents according to their content into classes and groups. As a result of the vast amount of textual material available online, this procedure is becoming increasingly crucial. The primary challenge in text categorization is enhancing classification accuracy. This role is receiving more attention… Read full abstract & cite →

Dialogue processing Act Arabic language linear support vector machine without cue

Abstract doi.org/10.14569/IJACSA.2023.0140120 PDF

21

Tree-based Machine Learning and Deep Learning in Predicting Investor Intention to Public Private Partnership

Author 1: Ahmad Amin Author 2: Rahmawaty Author 3: Maya Febrianty Lautania Author 4: Suraya Masrom Author 5: Rahayu Abdul Rahman

Public private partnership (PPP) is the government initiate in accelerating public infrastructure development growth. However, the scheme exposes private sector to various risks including political risk which in turn affect financial performance and reporting of participating firms. Given that one of the issues facing the government is the lack of… Read full abstract & cite →

Tree-based machine learning deep learning prediction investor intention public private partnership

Abstract doi.org/10.14569/IJACSA.2023.0140121 PDF

22

VHDL based Design of an Efficient Hearing Aid Filter using an Intelligent Variable-Bandwidth-Filter

Author 1: Ujjwala S Rawandale Author 2: Sanjay R. Ganorkar Author 3: Mahesh T. Kolte

Filtering techniques have been elaborated in the HA field to improve signal clarity and enhance the hearing capacity of deaf people. However, public sounds are highly noisy, so filtering those signals is not an easy task. Hence, the present article has aimed to develop a novel Ant Lion based power… Read full abstract & cite →

Hearing aid system variable bandwidth filter audiograms matching error power consumption signal filtering

Abstract doi.org/10.14569/IJACSA.2023.0140122 PDF

23

Performance Evaluation of Photovoltaic Projects in Latin America

Author 1: Cristian León-Ospina Author 2: Heyner Arias-Zarate Author 3: Cesar Hernandez

Photovoltaic solar energy has been booming worldwide due to the scarcity of non-renewable resources, from there arises the need to modernize and innovate in the methodologies for the use of energy resources as well as in the correct installation of this system at an urban or level rural. In recent… Read full abstract & cite →

Evaluation Latin America photovoltaic project

Abstract doi.org/10.14569/IJACSA.2023.0140123 PDF

24

Ransomware: Analysis of Encrypted Files

Author 1: Houria MADANI Author 2: Noura OUERDI Author 3: Abdelmalek Azizi

Ransomware is a type of malware that damage the system by encrypting all the files existing in the computer. To get access, the victim has to pay a ransom to get a key to decrypt his data. When the virus is running in machine, the user cannot stop it on… Read full abstract & cite →

Ransomware encrypted files signature file format static analysis

Abstract doi.org/10.14569/IJACSA.2023.0140124 PDF

25

MMZ: A Study on the Implementation of Mathematical Game-based Learning Tool

Author 1: Nur Syaheera Binti Sulaiman Author 2: Hamzah Asyrani Bin Sulaiman Author 3: Nor Saradatul Akmar Binti Zulkifli Author 4: Tuty Asmawanty Binti Abdul Kadir

Mathematic has always been one of the hardest subject to be learnt during school. This is the very same issue that student have been facing no matter the level of education that they are in, and this is the reason why Math Maze Zone or also known as MMZ had… Read full abstract & cite →

Primary school educational mathematic game game components

Abstract doi.org/10.14569/IJACSA.2023.0140125 PDF

26

An Improved Poisson Surface Reconstruction Algorithm based on the Boundary Constraints

Author 1: Zhouqi Liu Author 2: Lei Wang Author 3: Muhammad Tahir Author 4: Jin Huang Author 5: Tianqi Cheng Author 6: Xinping Guo Author 7: Yuwei Wang Author 8: ChunXiang Liu

The usage of the point cloud surface reconstruction to generate high-precision 3D models has been widely applied in various fields. In order to deal with the problems of insufficient accuracy, pseudo-surfaces and high time cost caused by the traditional surface reconstruction algorithms of the point cloud data, this paper proposes… Read full abstract & cite →

Point cloud moving least squares Poisson reconstruction Neumann boundary constraints

Abstract doi.org/10.14569/IJACSA.2023.0140126 PDF

27

Data Augmentation for Deep Learning Algorithms that Perform Driver Drowsiness Detection

Author 1: Ghulam Masudh Mohamed Author 2: Sulaiman Saleem Patel Author 3: Nalindren Naicker

Driver drowsiness is one of the main causes of driver-related motor vehicle collisions, as this impairs a person’s concentration whilst driving. With the enhancements of computer vision and deep learning (DL), driver drowsiness detection systems have been developed previously, in an attempt to improve road safety. These systems experienced performance… Read full abstract & cite →

Data augmentation deep learning computer vision drowsiness detection road safety

Abstract doi.org/10.14569/IJACSA.2023.0140127 PDF

28

An Improved Ant Colony Algorithm for Virtual Resource Scheduling in Cloud Computing

Author 1: Chunlei Zhong Author 2: Gang Yang

In order to solve the problems of uneven spatial distribution of data nodes and unclear weight relationship of virtual scheduling features in cloud computing platform, a virtual resource scheduling method based on improved ant colony algorithm is studied and designed to improve the performance of virtual resource scheduling in cloud… Read full abstract & cite →

Improved ant colony algorithm cloud computing virtual resources intelligent scheduling

Abstract doi.org/10.14569/IJACSA.2023.0140128 PDF

29

Deep Analysis of Risks and Recent Trends Towards Network Intrusion Detection System

Author 1: D. Shankar Author 2: G. Victo Sudha George Author 3: Janardhana Naidu J N S S Author 4: P Shyamala Madhuri

In the modern world, information security and communications concerns are growing due to increasing attacks and abnormalities. The presence of attacks and intrusion in the network may affect various fields such as social welfare, economic issues and data storage. Thus intrusion detection (ID) is a broad research area, and various… Read full abstract & cite →

Network dataset communication intrusion detection system attacks deep learning machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140129 PDF

30

Ọdịgbo Metaheuristic Optimization Algorithm for Computation of Real-Parameters and Engineering Design Optimization

Author 1: Ikpo C V Author 2: Akowuah E K Author 3: Kponyo J J Author 4: Boateng K O

This paper proposes a new population-based global optimization algorithm, Ọdịgbo Metaheuristic Optimization Algorithm–ỌMOA, for solving complex bounded-constraint/single objective real-parameter problems found in most engineering and scientific applications. It’s inspired by the human socio-cultural informal discipleship learning pattern inherent in the behavior of the Ndịgbo peoples; the subject – primary (Nwa-ahịa)… Read full abstract & cite →

Human socio-cultural nature-inspired informal-learning global optimization

Abstract doi.org/10.14569/IJACSA.2023.0140130 PDF

31

Modeling of Whale Optimization with Deep Learning based Brain Disorder Detection and Classification

Author 1: Uvaneshwari M Author 2: M. Baskar

Brain disorders are a significant source of economic strain and unfathomable suffering in modern society. Imaging techniques help diagnose, monitor and treat mental health, neurological, and developmental disorders. To aid in the Computer-Aided Diagnosis of brain diseases, deep learning (DL) was used for the analysis of neuroimages from modalities including… Read full abstract & cite →

Brain disorder detection magnetic resonance imaging deep learning convolutional recurrent neural network whale optimization algorithm

Abstract doi.org/10.14569/IJACSA.2023.0140131 PDF

32

A Study on the Designation Institution for Supercomputer Specialized Centers in Republic of Korea

Author 1: Hyungwook Shim Author 2: Yonghwan Jung Author 3: Jaegyoon Hahm

In Korea, specialized centers are designated for 10 strategic fields for the purpose of jointly utilizing supercomputer resources at the national level. Based on the “National Supercomputing Innovation Strategy,” it plans to select 10 centers in three stages by 2030, and has now completed the designation of the first-stage specialized… Read full abstract & cite →

Supercomputer specialized center evaluation system logistic regression model network centrality analysis

Abstract doi.org/10.14569/IJACSA.2023.0140132 PDF

33

Time Series Forecasting using LSTM and ARIMA

Author 1: Khulood Albeladi Author 2: Bassam Zafar Author 3: Ahmed Mueen

Time series analysis is the process of evaluating sequential data to extract meaningful statistics. In the current era, organizations rely greatly on data analysis to solve and predict possible answers to a specific problem. These predictions help greatly in decision-making. In time series problems, the data is used to train… Read full abstract & cite →

Stock analysis machine learning deep learning time series ARIMA LSTM

Abstract doi.org/10.14569/IJACSA.2023.0140133 PDF

34

Enhancing the Intrusion Detection Efficiency using a Partitioning-based Recursive Feature Elimination in Big Cloud Environment

Author 1: Hesham M. Elmasry Author 2: Ayman E. Khedr Author 3: Hatem M. Abdelkader

In the era of cloud computing, the effectiveness of utilizing supervised machine-learning-based intrusion detection models for categorizing and detecting malicious network attacks depends on the preparation, extraction, and selection of the optimal subset of features from the dataset. Therefore, before beginning the training phase of the machine learning classifier models… Read full abstract & cite →

Machine learning models big cloud environment intrusion detection system (IDS) Jupyter Notebook feature selection ISOT-CID introduction

Abstract doi.org/10.14569/IJACSA.2023.0140134 PDF

35

Parameter Extraction and Performance Analysis of 3D Surface Reconstruction Techniques

Author 1: Richha Sharma Author 2: Pawanesh Abrol

Digital image-based 3D surface reconstruction is a streamlined and proper means of studying the features of the object being modelled. The generation of true 3D content is a very crucial step in any 3D system. A methodology to reconstruct a 3D surface of objects from a set of digital images… Read full abstract & cite →

3D reconstruction point cloud feature detection feature matching

Abstract doi.org/10.14569/IJACSA.2023.0140135 PDF

36

Classifying Weather Images using Deep Neural Networks for Large Scale Datasets

Author 1: Shweta Mittal Author 2: Om Prakash Sangwan

Classifying weather from outdoor images helps prevent road accidents, schedule outdoor activities, and improve the reliability of vehicle assistant driving and outdoor video surveillance systems. Weather classification has applications in various fields such as agriculture, aquaculture, transportation, tourism, etc. Earlier, expensive sensors and huge manpower were used for weather classification… Read full abstract & cite →

Weather classification big data transfer learning deep learning Sparkdl convolutional networks

Abstract doi.org/10.14569/IJACSA.2023.0140136 PDF

37

Exploring College Academic Performance of K to12 IT and Non-IT-related Strands to Reduce Academic Deficiencies

Author 1: Marilou S. Benoza Author 2: Thelma Palaoag

Improving students' academic performance is a significant concern among academics. Despite various strategies to improve academic performance, there are still a significant number of students who fail academically. This study sought to investigate the possible reasons for the academic deficiencies among Infotech Development Systems Colleges, Inc. Information Technology (IT) students… Read full abstract & cite →

Academic performance exploratory research reduce academic deficiencies thematic analysis

Abstract doi.org/10.14569/IJACSA.2023.0140137 PDF

38

AI based Dynamic Prediction Model for Mobile Health Application System

Author 1: Adari Ramesh Author 2: C K Subbaraya Author 3: G K Ravi Kumar

In recent decades, mobile health (m-health) applications have gained significant attention in the healthcare sector due to their increased support during critical cases like cardiac disease, spinal cord problems, and brain injuries. Also, m-health services are considered more valuable, mainly where facilities are deficient. In addition, it supports wired and… Read full abstract & cite →

Artificial Intelligence (AI) M-Health System Data Collection Cloud Storage Gorilla Troop Optimization (GTO) Bi-directional Long Short-Term Memory (Bi-LSTM) dynamic prediction

Abstract doi.org/10.14569/IJACSA.2023.0140138 PDF

39

Reducing Cheating in Online Exams Through the Proctor Test Model

Author 1: Yusring Sanusi Baso Author 2: Nurul Murtadho Author 3: Syihabuddin Author 4: Hikmah Maulani Author 5: Andi Agussalim Author 6: Haeruddin Author 7: Ahmad Fadlan Author 8: Ilham Ramadhan

The World Health Organization (WHO) officially declared coronavirus (COVID-19) a pandemic on March 11, 2020. Educational institutions must change most face-to-face learning activities in class to online. This situation forces academic institutions to change the format of assessing student learning outcomes. Online exam surveillance applications utilizing cameras and other blocking… Read full abstract & cite →

Reducing cheating online exam proctor test models Indonesian learners of Arabic Silsilat Al-Lisan

Abstract doi.org/10.14569/IJACSA.2023.0140139 PDF

40

A Framework of Outcome-based Assessment and Evaluation for Computing Programs

Author 1: Wasan S. Awad Author 2: Khadija A. Almhosen

This paper is to present a framework for student outcome-based assessment and evaluation, including the process and detailed activities leading to continue assessment of the successes of an academic program which is essential to its sustainability. Moreover, this paper provides a survey of the literature that reviews the different means… Read full abstract & cite →

Student outcomes program assessment program evaluation program accreditation ABET accreditation continuous improvement

Abstract doi.org/10.14569/IJACSA.2023.0140140 PDF

41

A Hybrid Filtering Technique of Digital Images in Multimedia Data Warehouses

Author 1: Nermin Abdelhakim Othman Author 2: Ahmed Ayman Saad Author 3: Ahmed Sharaf Eldin

The similarity search approach used for image Data Warehouse (DW) can provide better insights into discovering the most similar images compared to the input query. Due to the later innovation improvement, the mixed media complexity is discernibly expanded and modern inquires about regions are opened depending on comparable mixed media… Read full abstract & cite →

Data Warehouse (DW) Content-Based Image Retrieval (CBIR) Color Edge Detection (CED) Genetic Algorithm (GA) Simulating Annealing (SA) Memetic Algorithm (MA)

Abstract doi.org/10.14569/IJACSA.2023.0140141 PDF

42

Agro-Food Supply Chain Traceability using Blockchain and IPFS

Author 1: Subashini Babu Author 2: Hemavathi Devarajan

Many blockchain initiatives significantly use the InterPlanetary File System (IPFS) to store user data off-chain. The centralized administration, ambiguous data, unreliable data, and ease of creating information islands are all issues with traditional traceability systems. This study develops a monitoring system using blockchain technology to record and inquire about product… Read full abstract & cite →

Blockchain IPFS supply chain management traceability Ethereum

Abstract doi.org/10.14569/IJACSA.2023.0140142 PDF

43

Implementation of Flood Emergency Response System with Face Analytics

Author 1: E. Mardaid Author 2: Z. Zainal Abidin Author 3: S. A. Asmai Author 4: Z. Abal Abas

Disaster management system is developed to monitor flood, tsunami and earthquake, which is effectively preparing for and responding to the disaster. In fact, Malaysia is building the emergency response system for managing the flood disaster since it is highly occurred. However, the current flood emergency response system has limitations, which… Read full abstract & cite →

Disaster management system flood emergency response system flood emergency response system with face analytics flood emergency response system with face analytics using HOG algorithm flood emergency response system dashboard

Abstract doi.org/10.14569/IJACSA.2023.0140143 PDF

44

A Novel Smart Deepfake Video Detection System

Author 1: Marwa Elpeltagy Author 2: Aya Ismail Author 3: Mervat S. Zaki Author 4: Kamal Eldahshan

Rapid advancements in deep learning-based technologies have developed several synthetic video and audio generation methods producing incredibly hyper-realistic deepfakes. These deepfakes can be employed to impersonate the identity of a source person in videos by swapping the source's face with the target one. Deepfakes can also be used to clone… Read full abstract & cite →

Deepfake deepfake detection bimodal XceptionNet InceptionResNetV2 constant-Q transform CQT Gated Recurrent Unit GRU video authenticity deep learning multimodal

Abstract doi.org/10.14569/IJACSA.2023.0140144 PDF

45

Three on Three Optimizer: A New Metaheuristic with Three Guided Searches and Three Random Searches

Author 1: Purba Daru Kusuma Author 2: Ashri Dinimaharawati

This paper presents a new swarm intelligence-based metaheuristic called a three-on-three optimizer (TOTO). This name is chosen based on its novel mechanism in adopting multiple searches into a single metaheuristic. These multiple searches consist of three guided searches and three random searches. These three guided searches are searching toward the… Read full abstract & cite →

Optimization metaheuristic swarm intelligence portfolio optimization Kompas 100 bank

Abstract doi.org/10.14569/IJACSA.2023.0140145 PDF

46

An Empirical Study on the Affecting Factors of Cloud-based ERP System Adoption in Iraqi SMEs

Author 1: Mohammed G. J Author 2: MA Burhanuddin Author 3: Dawood F. A. A Author 4: Alyousif S Author 5: Alkhayyat A Author 6: Ali M. H Author 7: R. Q. Malik Author 8: Jaber M. M

This paper aims to investigate the main factors that have an impact on the adoption of cloud-based enterprise resource planning (ERP) among small- and medium-sized enterprises (SMEs) in the Republic of Iraq using TOE, DOI, and HOT-fit as a theoretical framework. Data was collected from 136 decision maker senior executives… Read full abstract & cite →

SMEs TOE DOI and HOT-fit frameworks Cloud-based ERP ICT SmartPLS SPSS

Abstract doi.org/10.14569/IJACSA.2023.0140146 PDF

47

A Learning-based Correlated Graph Model for Spinal Cord Injury Prediction from Magnetic Resonance Spinal Images

Author 1: P. R. S. S. V Raju Author 2: V. Asanambigai Author 3: Suresh Babu Mudunuri

In epidemiological research on spine surgery, machine learning represents a promising new area. It is made up of several algorithms that work together to identify patterns in the data. Machine learning provides many benefits over traditional regression techniques, including a lower necessity for a priori predictor information and a higher… Read full abstract & cite →

Spinal cord injury regression machine learning graph model

Abstract doi.org/10.14569/IJACSA.2023.0140147 PDF

48

The Practices of Online Assessment in a Digital Device in the Context of University Training: The Case of Hassan II University

Author 1: Fatima-ezzahra Mrisse Author 2: Nadia Chafiq Author 3: Mohammed Talbi Author 4: Kamal Moundy

This research presents online assessment in a digital device in the context of university training, aimed at improving their practices with emerging technologies based on an experiment with students from Hassan II University. Or, online assessment is a systematic process that helps measure the knowledge and skills of learners through… Read full abstract & cite →

Online assessment digital device Information and Communication Technologies (ICT) biometrics identify digital student

Abstract doi.org/10.14569/IJACSA.2023.0140148 PDF

49

Comparative and Evaluation of Anomaly Recognition by Employing Statistic Techniques on Humanoid Robot

Author 1: Nuratiqa Natrah Mansor Author 2: Muhammad Herman Jamaluddin Author 3: Ahmad Zaki Shukor Author 4: Muhammad Sufyan Basri

This paper presents the study to differentiate between normal and anomaly conditions detected by humanoid robots using comparative statistics. The study has been conducted in robotic software as a platform to examine the scenario and evaluate between the anomalies and normal behaviour in different conditions. This study employed a machine… Read full abstract & cite →

Anomaly detection humanoid robot vision system statistical analysis robot recognition

Abstract doi.org/10.14569/IJACSA.2023.0140149 PDF

50

Queueing Model based Dynamic Scalability for Containerized Cloud

Author 1: Ankita Srivastava Author 2: Narander Kumar

Cloud computing has become a growing technology and has received wide acceptance in the scientific community and large organizations like government and industry. Due to the highly complex nature of VM virtualization, lightweight containers have gained wide popularity, and techniques to provision the resources to these containers have drawn researchers… Read full abstract & cite →

Cloud computing scalability containers containerized cloud models queueing model

Abstract doi.org/10.14569/IJACSA.2023.0140150 PDF

51

An Improved Breast Cancer Classification Method Using an Enhanced AdaBoost Classifier

Author 1: Yousef K. Qawqzeh Author 2: Abdullah Alourani Author 3: Sameh Ghwanmeh

The goal of this research is to create a machine learning (ML) classifier that can improve breast cancer (BC) diagnosis and prediction. The principle components analysis (PCA) technique is used in this work to minimize the dimensions of the BC dataset and achieve better classification metrics. The developed classifier outperformed… Read full abstract & cite →

Breast cancer diagnosis prediction AdaBoost RandomForest PCA

Abstract doi.org/10.14569/IJACSA.2023.0140151 PDF

52

Efficient Multimedia Content Transmission Model for Disaster Management using Delay Tolerant Mobile Adhoc Networks

Author 1: Sushant Mangasuli Author 2: Mahesh Kaluti

Natural and manmade disasters such as earthquakes, floods, unprecedented rainfall, etc. pose several threats to our society. The citizens upload disaster information in the form of multimedia content such as pictures, audio, and videos. Efficient information and communication framework are critical for disaster management. Mobile Adhoc Networks (MANET) have been… Read full abstract & cite →

Buffer management disaster management Mobile Adhoc Network opportunistic routing Quality of Service

Abstract doi.org/10.14569/IJACSA.2023.0140152 PDF

53

The Effect of Thermal and Electrical Conductivities on the Ablation Volume during Radiofrequency Ablation Process

Author 1: Mohammed S. Ahmed Author 2: Mohamed Tarek El-Wakad Author 3: Mohammed A. Hassan

Radiofrequency ablation (RFA) is the treatment of choice for certain types of cancers, especially liver cancer. However, the main issue with RFA is that the larger the tumor volume, the longer the ablation period. That causes more pain for the patient, so the surgeons perform a larger number of ablation… Read full abstract & cite →

Radiofrequency ablation (RFA) finite element method (FEM) COMSOL Cool-tip RF electrode multi-hooks electrode large tumor ablation

Abstract doi.org/10.14569/IJACSA.2023.0140153 PDF

54

A Light-weight Authentication Scheme in the Internet of Things using the Enhanced Bloom Filter

Author 1: Xiaoyan Huo

Authenticated key exchange mechanisms are critical for security-sensitive Internet of Things (IoT) and Wireless Sensor Networks (WSNs). In this area, the Bloom Filter (BF) plays a crucial role directly and indirectly, which has a significant advantage in space and time. Light-weight input authentication is one of the most challenging tasks… Read full abstract & cite →

En-route authentication bitmap message authentication codes Internet of Things bloom filter

Abstract doi.org/10.14569/IJACSA.2023.0140154 PDF

55

Generalized Epileptic Seizure Prediction using Machine Learning Method

Author 1: Zarqa Altaf Author 2: Mukhtiar Ali Unar Author 3: Sanam Narejo Author 4: Muhammad Ahmed Zaki Author 5: Naseer-u-Din

In recent years, the electroencephalography (EEG) signal identification of epileptic seizures has developed into a routine procedure to determine epilepsy. Since physically identifying epileptic seizures by expert neurologists becomes a labor-intensive, time-consuming procedure that also produces several errors. Thus, efficient, and computerized detection of epileptic seizures is required. The disordered… Read full abstract & cite →

Epilepsy electroencephalogram artificial intelligence machine learning CHB-MIT

Abstract doi.org/10.14569/IJACSA.2023.0140155 PDF

56

The Impact of COVID-19 on Digital Competence

Author 1: Syerina Syahrin Author 2: Khalid Almashiki Author 3: Eman Alzaanin

The study looked into how COVID-19 affected the digital competence of a group of preservice teacher education students at a higher education institution in the Sultanate of Oman. The paper examined students’ digital profile in five areas namely information and data literacy, communication and collaboration, digital content creation, safety and… Read full abstract & cite →

Digital competence digital skills digital profile ICT skills preservice teacher education

Abstract doi.org/10.14569/IJACSA.2023.0140156 PDF

57

A Survey on Cloudlet Computation Optimization in the Mobile Edge Computing Environment

Author 1: Layth Muwafaq Author 2: Nor K. Noordin Author 3: Mohamed Othman Author 4: Alyani Ismail Author 5: Fazirulhisyam Hashim

Mobile Edge Computing (MEC) uses to perform computation operations at the edge of a network for mobile devices. This allows the deployment of more powerful and efficient computing resources in a cost-effective, lightweight and scalable manner. MEC can optimize mobile device performance, enhance security and privacy, improve battery life, provide… Read full abstract & cite →

Mobile edge computing cloudlet deployment task offloading mobile device multi-objective optimization meta-heuristics variable-length

Abstract doi.org/10.14569/IJACSA.2023.0140157 PDF

58

Proof-of-Work for Merkle based Access Tree in Patient Centric Data

Author 1: B Ravinder Reddy Author 2: T Adilakshmi

With the advent of wearable devices and smart health care, the wearable health care technology for obtaining Patient Centric Data (PCD) has gained popularity in recent years. To establish access control over encrypted data in health records, Ciphertext Policy-Attribute Based Encryption (CP-ABE), is used. The most critical element is granting… Read full abstract & cite →

Merkle tree hashing CP-ABE access policy PCD

Abstract doi.org/10.14569/IJACSA.2023.0140158 PDF

59

Water Tank Wudhu and Monitoring System Design using Arduino and Telegram

Author 1: Ritzkal Author 2: Yuggo Afrianto Author 3: Indra Riawan Author 4: Fitrah Satrya Fajar Kusumah Author 5: Dwi Remawati

Manual water faucets, which are commonly used in mosques and homes, cannot control water use, resulting in a variety of issues, including water waste when the user forgets to close the water faucet, resulting in water continuously coming out. In addition to filling the water tank, which is also an… Read full abstract & cite →

Arduino solenoid valves ultrasonic sensor pump water

Abstract doi.org/10.14569/IJACSA.2023.0140159 PDF

60

Risk Analysis of Urban Water Infrastructure Systems in Cauayan City

Author 1: Rafael J. Padre Author 2: Melanie A. Baguio Author 3: Edward B. Panganiban Author 4: Rudy U. Panganiban Author 5: Carluz R. Bautista Author 6: Justine Ryan L. Rigates Author 7: Allisandra Pauline Mariano

The City of Cauayan Isabela is known as one of the first smart cities and leading agro-industrial centers in the Philippines. Since the center of the economy is in urban areas like Cauayan City, there is a tendency for people and businesses to converge when development and activity take place… Read full abstract & cite →

Water infrastructure risk analysis geographic information systems decision support systems storm water

Abstract doi.org/10.14569/IJACSA.2023.0140160 PDF

61

Mitigate Volumetric DDoS Attack using Machine Learning Algorithm in SDN based IoT Network Environment

Author 1: Kumar J Author 2: Arul Leena Rose P J

Software-Defined Networking (SDN) is a recent trend that is combined with Internet of Things (IoT) in wireless network applications. SDN focus entirely on the upper-level network management and IoT enables monitoring the physical activity of the real-time environment via internet network connectivity. The IoT clusters with SDN often undergoes challenges… Read full abstract & cite →

DDoS SDN IoT machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140161 PDF

62

Customer Sentiment Analysis in Hotel Reviews Through Natural Language Processing Techniques

Author 1: Soumaya Ounacer Author 2: Driss Mhamdi Author 3: Soufiane Ardchir Author 4: Abderrahmane Daif Author 5: Mohamed Azzouazi

Customer reviews of products and services play a key role in the customers' decision to buy a product or use a service. Customers' preferences and choices are influenced by the opinions of others online; on blogs or social networks. New customers are faced with many views on the web, but… Read full abstract & cite →

Topic modeling aspect-based sentiments analysis aspect extraction sentiment classification machine learning

Abstract doi.org/10.14569/IJACSA.2023.0140162 PDF

63

Performance Comparison of the Kernels of Support Vector Machine Algorithm for Diabetes Mellitus Classification

Author 1: Dimas Aryo Anggoro Author 2: Dian Permatasari

Diabetes Mellitus is a disease where the body cannot use insulin properly, so this disease is one of the health problems in various countries. Diabetes Mellitus can be fatal and can cause other diseases and even lead to death. Based on this, it is important to have prediction activities to… Read full abstract & cite →

Diabetes mellitus kernel normalization oversampling SVM

Abstract doi.org/10.14569/IJACSA.2023.0140163 PDF

64

Image Segmentation of Intestinal Polyps using Attention Mechanism based on Convolutional Neural Network

Author 1: Xinyi Zheng Author 2: Wanru Gong Author 3: Ruijia Yang Author 4: Guoyu Zuo

The intestinal polyp is one of the common intestinal diseases, which is characterized by protruding lining tissue of the colon or rectum. Considering that they may become cancerous, they should be removed by surgery as soon as possible. In the past, it took a lot of manpower and time to… Read full abstract & cite →

Image segmentation intestinal polyps block convolutional attention mechanism Har Dnet

Abstract doi.org/10.14569/IJACSA.2023.0140164 PDF

65

A Novel Hybrid DL Model for Printed Arabic Word Recognition based on GAN

Author 1: Yazan M. Alwaqfi Author 2: Mumtazimah Mohamad Author 3: Ahmad T. Al-Taani Author 4: Nazirah Abd Hamid

The recognition of printed Arabic words remains an open area for research since Arabic is among the most complex languages. Prior research has shown that few efforts have been made to develop models of accurate Arabic recognition, as most of these models have faced the increasing complexity of the performance… Read full abstract & cite →

Deep learning convolutional neural network generative adversarial network Arabic recognition image processing

Abstract doi.org/10.14569/IJACSA.2023.0140165 PDF

66

Quantum Cryptography Experiment using Optical Devices

Author 1: Nur Shahirah Binti Azahari Author 2: Nur Ziadah Binti Harun

The study of quantum cryptography is one of the great interest. A straightforward and reliable quantum experiment is provided in this paper. A half wave plate in linearly polarized light makes up a simplified polarization rotator. The polarization rotates twice as much as the half wave plate's fast axis' angle… Read full abstract & cite →

Half-wave plate polarizer photon beam splitter Stoke Vector

Abstract doi.org/10.14569/IJACSA.2023.0140166 PDF

67

Analysis of Medical Slide Images Processing using Depth Learning in Histopathological Studies of Cerebellar Cortex Tissue

Author 1: Xiang-yu Zhang Author 2: Xiao-wen Shi Author 3: Xing-bo Zhang

Today, with the advancement of science and technology, artificial intelligence evolves and grows along with human beings. Clinical specialists rely only on their knowledge and experience, as well as the results of complex and time-consuming clinical trials, despite the inevitable human errors of diagnosis work. Performing malignant and dangerous diseases… Read full abstract & cite →

Image processing fragmentation of images machine learning image classification stereological histopathology

Abstract doi.org/10.14569/IJACSA.2023.0140167 PDF

68

The Cloud-powered Hybrid Learning Process to Enhance Digital Natives’ Analytical Reading Skills

Author 1: Sakolwan Napaporn Author 2: Sorakrich Maneewan Author 3: Kuntida Thamwipat Author 4: Vitsanu Nittayathammakul

Analytical reading is a necessary cognitive skill for advancing to other skills required in the digital age. Thailand is focused on the instructional development and use of digital media to enhance the digital natives' analytical reading skills, which will assist learners of all ages in effectively and quickly adapting to… Read full abstract & cite →

Hybrid learning cloud-powered learning tools learning process analytical reading skills digital natives

Abstract doi.org/10.14569/IJACSA.2023.0140168 PDF

69

A Model for Detecting Fungal Diseases in Cotton Cultivation using Segmentation and Machine Learning Approaches

Author 1: Odukoya O. H Author 2: Aina S Author 3: Dégbéssé F. W

This research detailed a model for detecting fungal diseases via techniques for processing images of cotton leaves. The work allowed to develop a model based on the set of preprocessed data, to formulate the developed model, to simulate and evaluate the model. It is about detecting fungal diseases in cotton… Read full abstract & cite →

Fungal diseases watershed segmentation SVM K-means Edge Detection algorithm

Abstract doi.org/10.14569/IJACSA.2023.0140169 PDF

70

Deep Learning Models for the Detection of Monkeypox Skin Lesion on Digital Skin Images

Author 1: Othman A. Alrusaini

The study is an investigation testing the accuracy of deep learning models in the detection of Monkeypox. The disease is relatively new and difficult for physicians to detect. Data for the skins were obtained from Google via web-scraping with Python’s BeautifulSoup, SERP API, and requests libraries. The images underwent scrutiny… Read full abstract & cite →

Monkeypox digital skin images artificial intelligence deep learning convoluted neural networks VGG-16

Abstract doi.org/10.14569/IJACSA.2023.0140170 PDF

71

Upgraded Very Fast Decision Tree: Energy Conservative Algorithm for Data Stream Classification

Author 1: Mai Lefa Author 2: Hatem Abd-Elkader Author 3: Rashed Salem

Traditional machine learning (ML) techniques model knowledge using static datasets. With the increased use of the Internet in today's digital world, a massive amount of data is generated at an accelerated rate that must be handled. This data must be handled as soon as it arrives because it is continuous… Read full abstract & cite →

Classification energy consumption Hoeffding bound Information gain massive online analysis stream data very fast decision tree

Abstract doi.org/10.14569/IJACSA.2023.0140171 PDF

72

Classification Model for Diabetes Mellitus Diagnosis based on K-Means Clustering Algorithm Optimized with Bat Algorithm

Author 1: Syaiful Anam Author 2: Zuraidah Fitriah Author 3: Noor Hidayat Author 4: Mochamad Hakim Akbar Assidiq Maulana

Diabetes mellitus is a disease characterized by abnormal glucose homeostasis resulting in an increase in blood sugar. According to data from the International Diabetes Federation (IDF), Indonesia ranks 7th out of 10 countries with the highest number of diabetes mellitus patients in the world. The prevalence of patients with diabetes… Read full abstract & cite →

Diabetes mellitus disease diagnosis methods k-means clustering algorithm optimization bat algorithm

Abstract doi.org/10.14569/IJACSA.2023.0140172 PDF

73

Descriptive Analytics and Interactive Visualizations for Performance Monitoring of Extension Services Programs, Projects, and Activities

Author 1: Noelyn M. De Jesus Author 2: Lorissa Joana E. Buenas

Providing universities with high technology-enabled automation tools to support the administrative decision-making processes will enable them to achieve their objectives. For an institution to succeed in its everyday tasks, it should come up with the emerging and modernized management services constituted, among others, by cloud, mobile, and business analytics technology… Read full abstract & cite →

Business analytics descriptive analytics dashboards interactive visualizations extension services monitoring key performance indicators KPIs community

Abstract doi.org/10.14569/IJACSA.2023.0140173 PDF

74

Arabic Stock-News Sentiments and Economic Aspects using BERT Model

Author 1: Eman Alasmari Author 2: Mohamed Hamdy Author 3: Khaled H. Alyoubi Author 4: Fahd Saleh Alotaibi

Stock-market news sentiment analysis (SA) aims to identify the attitudes of the news of the stock on the official platforms toward companies’ stocks. It supports making the right decision in investing or analysts’ evaluation. However, the research on Arabic SA is limited compared to that on English SA due to… Read full abstract & cite →

Machine learning deep learning classification prediction statements

Abstract doi.org/10.14569/IJACSA.2023.0140174 PDF

75

e-Government Usability Evaluation: A Comparison between Algeria and the UK

Author 1: Mohamed Benaida

e-Government holds the keys to improving government services provided to citizens and the private sectors within their countries. Although Algeria is the largest country in Africa and has one of the most thriving economies in the continent, it is remarkable that the Algerian EGDI ranking was 120th according to the… Read full abstract & cite →

Human computer interaction usability evaluation web design e-Government user satisfaction

Abstract doi.org/10.14569/IJACSA.2023.0140175 PDF

76

The Effect of Artificial Neural Network Towards the Number of Particles of Rao-Blackwellized Particle Filter using Laser Distance Sensor

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

Rao-Blackwellized particle filter (RBPF) algorithm aims to solve the Simultaneous Localization and Mapping (SLAM) problem. The performance of RBPF is based on the number of particles. The higher the number of particles, the better the performance of RBPF. However, higher number of particles required high memory and computational cost. Nevertheless… Read full abstract & cite →

SLAM occupancy grid map Rao-Blackwellized particle filter artificial neural network laser distance sensor

Abstract doi.org/10.14569/IJACSA.2023.0140176 PDF

77

Expanding Louvain Algorithm for Clustering Relationship Formation

Author 1: Murniyati Author 2: Achmad Benny Mutiara Author 3: Setia Wirawan Author 4: Tristyanti Yusnitasari Author 5: Dyah Anggraini

Community detection is a method to determine and to discover the existence of cluster or group that share the same interest, hobbies, purposes, projects, lifestyles, location or profession. There are some example of community detection algorithms that have been developed, such as strongly connected components algorithm, weakly connected components, label… Read full abstract & cite →

Community detection Louvain algorithm modularity network clustering relationship

Abstract doi.org/10.14569/IJACSA.2023.0140177 PDF

78

Implementation Failure Recovery Mechanism using VLAN ID in Software Defined Networks

Author 1: Heru Nurwarsito Author 2: Galih Prasetyo

Link failure is a common problem that occurs in software-defined networks. The most proposed approach for failure recovery is to use pre-configured backup paths in the switch. However, it may increase the number of traffic packets after the traffic is rerouted through the backup path. In this research, the proposed… Read full abstract & cite →

Software-defined networks openflow link failure failure recovery VLAN ID fast failover

Abstract doi.org/10.14569/IJACSA.2023.0140178 PDF

79

Analysis of the Artificial Neural Network Approach in the Extreme Learning Machine Method for Mining Sales Forecasting Development

Author 1: Hendra Kurniawan Author 2: Joko Triloka Author 3: Yunus Ardhan

Forecasting is an accurate indicator to support management decisions. This study aimed to mining sales forecasting on Indonesia’s consumer goods companies with business warehouses engaged in the dynamic movement of large data using the Artificial Neural Network method. The sales forecasting used traditional method by inputting data and improvising simple… Read full abstract & cite →

Artificial neural network business warehouse extreme learning machine mining sales forecasting

Abstract doi.org/10.14569/IJACSA.2023.0140179 PDF

80

Deca Convolutional Layer Neural Network (DCL-NN) Method for Categorizing Concrete Cracks in Heritage Building

Author 1: Dinar Mutiara Kusumo Nugraheni Author 2: Andi Kurniawan Nugroho Author 3: Diah Intan Kusumo Dewi Author 4: Beta Noranita

It is critical to develop a method for detecting cracks in historic building concrete structures. This is due to the fact that it is a method of preserving historic building and protecting visitors from the collapse of a historic structure. The purpose of this research is to determine the best… Read full abstract & cite →

Cracks concrete Deca-CNN features mapping performance

Abstract doi.org/10.14569/IJACSA.2023.0140180 PDF

81

Convolutional Transformer based Local and Global Feature Learning for Speech Enhancement

Author 1: Chaitanya Jannu Author 2: Sunny Dayal Vanambathina

Speech enhancement (SE) is an important method for improving speech quality and intelligibility in noisy environments where received speech is severely distorted by noise. An efficient speech enhancement system relies on accurately modelling the long-term dependencies of noisy speech. Deep learning has greatly benefited by the use of transformers where… Read full abstract & cite →

Convolutional neural network recurrent neural network speech enhancement multi-head attention two-stage convolutional transformer feed-forward network

Abstract doi.org/10.14569/IJACSA.2023.0140181 PDF

82

Assessing User Interest in Web API Recommendation using Deep Learning Probabilistic Matrix Factorization

Author 1: T. Ramathulasi Author 2: M. Rajasekhara Babu

Internet 2.0 Things connected to the Internet not only manage data supply through devices but also control the commands that flow through it. The communication technology created by the desired sensor is used by a new computing model so that the collected data appears in Web 2.0 for management. In… Read full abstract & cite →

Implicit feature API’s recommendation IoT collaborative filtering matrix factorization

Abstract doi.org/10.14569/IJACSA.2023.0140182 PDF

83

Unsupervised Learning-based New Seed-Expanding Approach using Influential Nodes for Community Detection in Social Networks

Author 1: Khaoula AIT RAI Author 2: Mustapha MACHKOUR Author 3: Jilali ANTARI

Several recent studies focus on community structure due to its importance in analyzing and understanding complex networks. Communities are groups of nodes highly connected with themselves and not much connected to the rest of the network. Community detection helps us to understand the properties of the dynamic process within a… Read full abstract & cite →

Complex network community detection TOPSIS seed-centric approach ground-truth k-means

Abstract doi.org/10.14569/IJACSA.2023.0140183 PDF

84

Implementation of ICT Continuity Plan (ICTCP) in the Higher Education Institutions (HEI’S): SUC’S Awareness and its Status

Author 1: Chester L. Cofino Author 2: Ken M. Balogo Author 3: Jefrey G. Alegia Author 4: Michael Marvin P. Cruz Author 5: Benjamin B. Alejado Jr Author 6: Felicisimo V. Wenceslao Jr

The purpose of this study was to assess the level of awareness of the management and the personnel within the academic institution and identify the implementation status of the ICTCP to the implementing SUCs. The researchers used the BCM Framework was utilized in this study as the model for identifying… Read full abstract & cite →

Business Continuity Plan (BCP) Information Communication and Technology Continuity Plan (ICTCP) State Universities and Colleges (SUCs) Business Continuity Management (BCM) Framework

Abstract doi.org/10.14569/IJACSA.2023.0140184 PDF

85

Towards a Machine Learning-based Model for Automated Crop Type Mapping

Author 1: Asmae DAKIR Author 2: Fatimazahra BARRAMOU Author 3: Omar Bachir ALAMI

In the field of smart farming, automated crop type mapping is a challenging task to guarantee fast and automatic management of the agricultural sector. With the emergence of advanced technologies such as artificial intelligence and geospatial technologies, new concepts were developed to provide realistic solutions to precision agriculture. The present… Read full abstract & cite →

Smart farming artificial intelligence machine Learning Precision agriculture random forest SVM

Abstract doi.org/10.14569/IJACSA.2023.0140185 PDF

86

A Hybrid Model by Combining Discrete Cosine Transform and Deep Learning for Children Fingerprint Identification

Author 1: Vaishali Kamble Author 2: Manisha Dale Author 3: Vinayak Bairagi

Fingerprint biometric as an identification tool for children recognition was started in the late 19th century by Sir Galton. However, it is still not matured for children as adult fingerprint identification even after the span of two centuries. There is an increasing need for biometric identification of children because more… Read full abstract & cite →

Discrete Cosine Transform (DCT) Curve DCT biometric recognition machine learning convolutional neural network AlexNet

Abstract doi.org/10.14569/IJACSA.2023.0140186 PDF

87

2-D Deep Convolutional Neural Network for Predicting the Intensity of Seismic Events

Author 1: Assem Turarbek Author 2: Yeldos Adetbekov Author 3: Maktagali Bektemesov

Machine learning has advanced rapidly in the last decade, promising to significantly change and improve the function of big data analysis in a variety of fields. When compared to traditional methods, machine learning provides significant advantages in complex problem solving, computing performance, uncertainty propagation and handling, and decision support. In… Read full abstract & cite →

Earthquake prediction deep learning machine learning classification

Abstract doi.org/10.14569/IJACSA.2023.0140187 PDF

88

User-Centered Design (UCD) of Time-Critical Weather Alert Application

Author 1: Abdulelah M. Ali Author 2: Abdulrahman Khamaj Author 3: Ziho Kang Author 4: Majed Moosa Author 5: Mohd Mukhtar Alam

Weather alert applications can save precious lives in time-critical risk situations; however, even the most widely used applications may fall short in intuitive interface and content design, possibly due to limitations in the users participation in the design process and in the users range considered. The objective of this study… Read full abstract & cite →

User-centered design time-critical weather alert apps weather forecasts map set-tings message alert

Abstract doi.org/10.14569/IJACSA.2023.0140188 PDF

89

Interventional Teleoperation Protocol that Considers Stair Climbing or Descending of Crawler Robots in Low Bit-rate Communication

Author 1: Tsubasa Sakaki Author 2: Kei Sawai

In teleoperation of a crawler robot in a disaster-stricken enclosed space, distress of the crawler robot due to communication breakdown is a problem. We present a robot teleoperation system using LoRaWAN as a subcommunication infrastructure to solve this problem. In this system, the crawler robot is operated by teleoperation using… Read full abstract & cite →

LoRaWAN teleoperation crawler robot disaster-reduction activity teleoperation protocol

Abstract doi.org/10.14569/IJACSA.2023.0140189 PDF

90

Business Intelligence Data Visualization for Diabetes Health Prediction

Author 1: Samantha Siow Jia Qi Author 2: Sarasvathi Nagalingham

In today's environment, Business Intelligence (BI) is transforming the world at a rapid pace across domains. Business intelligence has been around for a long time, but when combined with technology, the results are astounding. BI is also playing an important role in the healthcare domain. Centers for Disease Control and… Read full abstract & cite →

Diabetes business intelligence prediction dashboard visualization data analysis centers for disease control and prevention

Abstract doi.org/10.14569/IJACSA.2023.0140190 PDF

91

Augmented, Virtual and Mixed Reality Research in Cultural Heritage: A Bibliometric Study

Author 1: Nilam Upasani Author 2: Asmita Manna Author 3: Manjiri Ranjanikar

Heritage allows us to learn about the different monuments of importance and the inherited traditions from our ancestors. However, many times the monuments get partly ruined due to natural wear and tear, sometimes due to attacks by invaders. To preserve the cultural heritage virtually, many researchers have used augmented, virtual… Read full abstract & cite →

Augmented reality bibliometric analysis cultural heritage information science mixed reality virtual reality

Abstract doi.org/10.14569/IJACSA.2023.0140191 PDF

92

Implementation of Business Intelligence Solution for United Airlines

Author 1: Ng Iris Author 2: Sarasvathi Nagalingham

US Airline is recognized as the world's largest airline, with a massive number of daily departures completed and a combined fleet of over 2700 aircraft. US Airlines have carried major 18 airlines, categorized as mainline, regional, and freight airlines. United Airline is one of the major airlines in the US… Read full abstract & cite →

Business intelligence aviation industry dashboard visualization tableau data analytics

Abstract doi.org/10.14569/IJACSA.2023.0140192 PDF

93

Model Predictive Controlled Quasi Z Source Inverter Fed Induction Motor Drive System

Author 1: D. Himabindu Author 2: G. Sreenivasan Author 3: R. Kiranmayi

Ongoing advancements in inverters have offered pathway to high gain quasi Z source inverter Circuit (QZSIC). High gain QZSIC can be found between Semi Converter (SC) and three phase Induction Motor Loads (TPIML). This paper proposes suitable controller for closed loop controlled QZSIC-TPIML. This strive deals within improvement in time… Read full abstract & cite →

QZSIC TPIML CLSC SMC MPC IMDS

Abstract doi.org/10.14569/IJACSA.2023.0140193 PDF

94

Visualization of Business Intelligence Insights into Aviation Accidents

Author 1: Loe Piin Piin Author 2: Sarasvathi Nagalingham

Despite the recent tragic loss activity, flying is often said to be the safest form of transport, and this is at least true in terms of fatalities per distance travelled. The Civil Aviation Authority reports that the death rate per billion kilometers travelled by aircraft is 0.003, which is much… Read full abstract & cite →

Aviation accidents business intelligence prediction dashboard visualization data analysis

Abstract doi.org/10.14569/IJACSA.2023.0140194 PDF

95

Metaphor Recognition Method based on Graph Neural Network

Author 1: Zhou Chuwei Author 2: SHI Yunmei

This Metaphor is a very common language phenomenon. Human language often uses metaphor to express emotion, and metaphor recognition is also an important research content in the field of NLP. Official documents are a serious style and do not usually use rhetorical sentences. This paper aims to identify rhetorical metaphorical… Read full abstract & cite →

Sentiment analysis metaphor recognition graph neural network attention mechanism

Abstract doi.org/10.14569/IJACSA.2023.0140195 PDF

96

User Perceive Realism of Machine Learning-based Drone Dynamic Simulator

Author 1: Damitha Sandaruwan Author 2: Nihal Kodikara Author 3: Piyumi Radeeshani Author 4: K.T.Y. Mahima Author 5: Chathura Suduwella Author 6: Sachintha Pitigala Author 7: Mangalika Jayasundara

The drone will be a commonly used technology by a significant portion of society, and simulating a given drone dynamic will be an essential requirement. There are drone dy-namic simulation models to simulate popular commercial drones. In addition, there are many Newtonian and fluid dynamics-based generic drone dynamic models. However… Read full abstract & cite →

Drone simulation machine learning drone dynamics virtual reality

Abstract doi.org/10.14569/IJACSA.2023.0140196 PDF

97

Stacking Deep-Learning Model, Stories and Drawing Properties for Automatic Scene Generation

Author 1: Samir Elloumi Author 2: Nzamba Bignoumba

Text-image mapping is of great interest to the scientific community, especially for educational purposes. It helps young learners, mainly those with learning difficulties, to better understand the content of stories. In this paper, we propose to capture the teacher’s experience in manually building relevant scenes for animal behavior stories. This… Read full abstract & cite →

Text to image conversion elementary image image composition deep-learning drawing properties

Abstract doi.org/10.14569/IJACSA.2023.0140197 PDF

98

A Machine Learning Hybrid Approach for Diagnosing Plants Bacterial and Fungal Diseases

Author 1: Ahmed BaniMustafa Author 2: Hazem Qattous Author 3: Ihab Ghabeish Author 4: Muwaffaq Karajeh

Bacterial and Fungal diseases may affect the yield of stone fruit and cause damage to the Chlorophyll synthesis process, which is crucial for tree growth and fruiting. However, due to their similar visual shot-hole symptoms, novice agriculturalists and ordinary farmers usually cannot identify and differentiate these two diseases. This work… Read full abstract & cite →

Deep learning machine learning classification plant diseases disease diagnosis

Abstract doi.org/10.14569/IJACSA.2023.0140198 PDF

99

Enhancing Collaborative Interaction with the Augmentation of Sign Language for the Vocally Challenged

Author 1: Sukruth G L Author 2: Vijaya Kumar B P Author 3: Tejas M R Author 4: Rithvik K Author 5: Trisha Ann Tharakan

As per Census 2011, in India, there were 26.8 million differently abled people, out of which more than 25%of the people faced difficulty in vocal communication. They use Indian Sign Language (ISL) to communicate with others. The proposed solution is developing a sensor-based Hand Gesture Recognition (HGR) wearable device capable… Read full abstract & cite →

Hand Gesture Recognition (HGR) wearable sen-sors Long-Short Term Memory (LSTM) Natural Language Pro-cessing (NLP) Dynamic Spatio-Temporal Warping (DSTW) Indian Sign Language (ISL)

Abstract doi.org/10.14569/IJACSA.2023.0140199 PDF

100

Delivery Management System based on Blockchain, Smart Contracts and NFT: A Case Study in Vietnam

Author 1: Khiem Huynh Gia Author 2: Luong Hoang Huong Author 3: Hong Khanh Vo Author 4: Phuc Nguyen Trong Author 5: Khoa Tran Dang Author 6: Hieu Le Van Author 7: Loc Van Cao Phu Author 8: Duy Nguyen Truong Quoc Author 9: Nguyen Huyen Tran Author 10: Anh Nguyen The Author 11: Huynh Trong Nghia Author 12: Bang Le Khanh Author 13: Kiet Le Tuan Author 14: Nguyen Thi Kim Ngan

Current traditional shipping models are increas-ingly revealing many shortcomings and affecting the interests of sellers and buyers due to having to depend on trusted third parties. For example, the Cash-on-Delivery (CoD) model must depend on the carrier/shipper, or the Letter-of-Credit (LoC) model depends on the place of the Letter certification… Read full abstract & cite →

Letter-of-Credit cash-on-delivery blockchain smart contract NFT Ethereum Fantom Polygon Binance Smart Chain

Abstract doi.org/10.14569/IJACSA.2023.01401100 PDF

101

Integrated Assessment of Teaching Efficacy: A Natural Language Processing Approach

Author 1: Lalitha Manasa Chandrapati Author 2: Ch. Koteswara Rao

The most significant component in the education domain is evaluation. Apart from student evaluation, teacher evaluation plays a vital role in the colleges or universities. The implementation of a scientific and appropriate assessment method for enhancing teaching standards in educational institutions is absolutely essential. Conventional teacher assessment techniques have always… Read full abstract & cite →

Teacher evaluation topic modeling clustering La-tent Dirichlet Allocation (LDA) K-means

Abstract doi.org/10.14569/IJACSA.2023.01401101 PDF

102

An Effect Assessment System for Curriculum Ideology and Politics based on Students’ Achievements in Chinese Engineering Education

Author 1: Bo Wang Author 2: Hailuo Yu Author 3: Yusheng Sun Author 4: Zhifeng Zhang Author 5: Xiaoyun Qin

The curriculum ideological and political education (CIPE) has caused the attention of China’s leaders and state departments in Chinese education, but its effect assessment is still an open issue should be address for the efficient and effective implementation of CIPE. The engineering education conception has been widely adopted in Chinese… Read full abstract & cite →

Curriculum ideology and politics assessment engi-neering education ideological and political education outcomes-based education

Abstract doi.org/10.14569/IJACSA.2023.01401102 PDF

103

Navigation of Autonomous Vehicles using Reinforcement Learning with Generalized Advantage Estimation

Author 1: Edwar Jacinto Author 2: Fernando Martinez Author 3: Fredy Martinez

This study proposes a reinforcement learning ap-proach using Generalized Advantage Estimation (GAE) for autonomous vehicle navigation in complex environments. The method is based on the actor-critic framework, where the actor network predicts actions and the critic network estimates state values. GAE is used to compute the advantage of each action… Read full abstract & cite →

Actor-critic autonomous vehicles generalized ad-vantage estimation navigation reinforcement learning

Abstract doi.org/10.14569/IJACSA.2023.01401103 PDF

104

A Low-Cost Wearable Autonomous System for the Protection of Bicycle Users

Author 1: Daniel Mejia Author 2: Sergio Gomez Author 3: Fredy Martinez

A bicycle is a form of transport that not only positively impacts the health of users, and the general population by reducing pollution levels but also constitutes an accessible and affordable means of transport for developing societies. However, when coexisting with other forms of transport, the accident rate is elevated… Read full abstract & cite →

Autonomous system bicycle users embedded sys-tem protection wearable

Abstract doi.org/10.14569/IJACSA.2023.01401104 PDF

105

An Automated Impact Analysis Approach for Test Cases based on Changes of Use Case based Requirement Specifications

Author 1: Adisak Intana Author 2: Kanjana Laosen Author 3: Thiwatip Sriraksa

Change Impact Analysis (CIA) is essential to the software development process that identifies the potential effects of changes during the development process. The changing of requirements always impacts on the software testing because some parts of the existing test cases may not be used to test the software. This affects… Read full abstract & cite →

Change impact analysis approach test case black-box testing use case based requirement specification combination of equivalence and classification tree method

Abstract doi.org/10.14569/IJACSA.2023.01401105 PDF

106

Trust Management for Deep Autoencoder based Anomaly Detection in Social IoT

Author 1: Rashmi M R Author 2: C Vidya Raj

Social IoT has gained huge traction with the advent of 5G and beyond communication. In this connected world of devices, the trust management is crucial for protecting the data. There are many attacks, while DDOS is the most prevalent BotNet attack. The infected devices earnestly require anomaly detection to learn… Read full abstract & cite →

Social IoT trust management anomaly detection DDoS deep autoencoder

Abstract doi.org/10.14569/IJACSA.2023.01401106 PDF

107

Machine Learning Techniques to Enhance the Mental Age of Down Syndrome Individuals: A Detailed Review

Author 1: Irfan M. Leghari Author 2: Hamimah Ujir Author 3: SA Ali Author 4: Irwandi Hipiny

Down syndrome individuals are known as intellectually disabled people. Their intellectual ability is classified into four categories known as mild, moderate, severe, and profound. These individuals have significant limitations in learning and adapting skills. Psychologists evaluate mental capability of such individuals using conventional intellectual quotient method instead of using any… Read full abstract & cite →

Artificial Intelligence Artificial Neural Network (ANN) Down Syndrome Individuals (DSI) Interactive Mental Learning Software (IMLS)

Abstract doi.org/10.14569/IJACSA.2023.01401107 PDF

108

AMIM: An Adaptive Weighted Multimodal Integration Model for Alzheimer’s Disease Classification

Author 1: Dewen Ding Author 2: Xianhua Zeng Author 3: Xinyu Wang Author 4: Jian Zhang

Alzheimer’s disease (AD) is an irreversible neu-rological disorder, so early medical diagnosis is extremely im-portant. Magnetic resonance imaging (MRI) is one of the main medical imaging methods used clinically to detect and diagnose AD. However, most existing computer-aided diagnostic methods only use MRI slices for model architecture design. They ig-nore… Read full abstract & cite →

MRI global information images maximum infor-mation slices adaptive weights integration method

Abstract doi.org/10.14569/IJACSA.2023.01401108 PDF