IJACSA Vol. 12 Issue 8 (2021)

1

A New Approach of e-Commerce Web Design for Accessibility based on Game Accessibility in Chinese Market

Author 1: Hemn Barzan Abdalla Author 2: Lu Zhen Author 3: Zhang Yuantu

China is the largest e-commerce market globally, with a share of more than 40% of the total value of e-commerce transactions in the world, down from just 1% a decade ago. The Chinese are the most used electronic payment, ordering services, and watching videos on smart devices worldwide. The study… Read full abstract & cite →

e-Commerce accessibility design color-blind game accessibility

Abstract doi.org/10.14569/IJACSA.2021.0120801 PDF

2

Research on the Relationship between Exploratory Behavior and Consumer Values using Eye Tracking Gaze Data

Author 1: Mei Nonaka Author 2: Kohei Otake Author 3: Takashi Namatame

In recent years, the popularity of e-commerce has witnessed a significant uptick. Physical apparel stores need to implement measures that focus on the behavioral experience of shopping at physical stores, a trait that e-commerce lacks. The purpose of this paper is to clarify the relationship between customer values and product… Read full abstract & cite →

Consumer values eye tracking factor analysis cluster analysis

Abstract doi.org/10.14569/IJACSA.2021.0120802 PDF

3

Lip Detection and Tracking with Geometric Constraints under Uneven Illumination and Shadows

Author 1: Waqqas ur Rehman Butt Author 2: Luca Lombardi

In the modern era, recent advancement in computer vision has led to emergent attention in lip reading. Indeed, lip-reading is used to understand speech without hearing it, and the process is mentioned as a lip-reading system. To construct an automatic lip-reading system, locating the lip and defining the lip region… Read full abstract & cite →

Lip detection lip tracking illumination equalization shadow filtering 16 points lip model

Abstract doi.org/10.14569/IJACSA.2021.0120803 PDF

4

Data Hiding Method with Principal Component Analysis and Image Coordinate Conversion

Author 1: Kohei Arai

Data hiding method with Principal Component Analysis (PCA) and image coordinate conversion as a preprocessing of wavelet Multi Resolution Analysis (MRA) is proposed. The method introduced in this paper, based on the characteristics of the original multispectral image, allows recovering the secret data. Through experiments, it is found that the… Read full abstract & cite →

Multi-dimensional wavelet transformation multi resolution analysis (MRA) image data hiding secrete image Daubechies basis function

Abstract doi.org/10.14569/IJACSA.2021.0120804 PDF

5

DCRL: Approach for Pattern Recognition in Price Time Series using Directional Change and Reinforcement Learning

Author 1: Nora Alkhamees Author 2: Monira Aloud

Developing an intelligent pattern recognition model for electronic markets has been a vital research direction in the field. Ongoing research continues for intelligent learning algorithms capable of recognizing and classifying price patterns and hence providing investors and market analysts with better insights into price time-series. In this paper, an adaptive… Read full abstract & cite →

Machine learning reinforcement learning directional-change event pattern recognition stock market

Abstract doi.org/10.14569/IJACSA.2021.0120805 PDF

6

Constrained Quantum Optimization for Resource Distribution Management

Author 1: Sara El Gaily Author 2: Sándor Imre

The cloud computing field suffers from the heavy processing caused by the exponentially increasing data traffic. Therefore, optimizing the network performance and achieving a better quality of service (QoS) became a central goal. In cloud computing, the problem of energy consumption of resource distribution management system (RDMS) is presented as… Read full abstract & cite →

Quantum computing constrained quantum optimization algorithm quantum extreme values searching algorithm resource distribution management cloud computing

Abstract doi.org/10.14569/IJACSA.2021.0120806 PDF

7

Prototype Design and Experimental Evaluation e-Healthcare System based on Molecular Analysis Devices

Author 1: Maxim Zakharov Author 2: Alexander Paramonov Author 3: Ammar Muthanna Author 4: Ruslan Kirichek

Recently, wireless body area networks (WBANs) and mobile Internet of Things (IoT) have been greatly increased and integrated into a different type of systems such as electronic/mobile-healthcare (e/m-healthcare) systems. In addition, analyzing the composition of drugs or performing the medical rapid tests in the conditions field are the main tasks… Read full abstract & cite →

Micro spectrometer molecular analysis NIR spectroscopy public communication networks internet of things e-health m-health edge computing

Abstract doi.org/10.14569/IJACSA.2021.0120807 PDF

8

MNN and LSTM-based Real-time State of Charge Estimation of Lithium-ion Batteries using a Vehicle Driving Simulator

Author 1: Si Jin Kim Author 2: Jong Hyun Lee Author 3: Dong Hun Wang Author 4: In Soo Lee

Lithium-ion batteries (a type of secondary battery) are now used as a power source in many applications due to their high energy density, low self-discharge rates, and ability to store long-term energy. However, overcharging is inevitable due to frequent charging and discharging of these batteries. This may result in property… Read full abstract & cite →

Lithium-ion battery state of charge multilayer neural network long short-term memory vehicle driving simulator real time

Abstract doi.org/10.14569/IJACSA.2021.0120808 PDF

9

Learning Optimum Number of Bases for Indian Languages in Non-negative Matrix Factorization based Multilingual Speech Separation

Author 1: Nandini C Nag Author 2: Milind S Shah

Non-negative matrix factorization-based audio source separation separating a target source has shown significant performance improvement when the spectral bases attained after factorization exhibits latent structures in the mixed audio signal comprising multiple speaker sources. If all the sources are known, the spectral bases may be inferred on priority by using… Read full abstract & cite →

Indian languages optimum number of bases non-negative matrix factorization speech separation

Abstract doi.org/10.14569/IJACSA.2021.0120809 PDF

10

Determining Local Hematology Reference Ranges: A Data-driven Approach

Author 1: K. A. Hasara Semini Author 2: H.A.Caldera

Hematology is the study of blood, blood-forming organs, and blood diseases. Hematological tests such as Full Blood Count (FBC) can be used to diagnose a wide range of infections and diseases by comparing their results with the standard hematology reference (SHR) ranges. These ranges were established many years ago by… Read full abstract & cite →

Hematology science standard hematology reference range domestic hematology reference ranges local hematology reference range machine learning white blood cell count

Abstract doi.org/10.14569/IJACSA.2021.0120810 PDF

11

A WSM-based Comparative Study of Vision Tracking Methodologies

Author 1: Sara Bouraya Author 2: Abdessamad Belangour

Vision tracking is a key component of a video sequence. It is the process of locating single or multiple moving objects over time using one or many cameras. The latter’s function consists of detecting, categorizing, and tracking. The development of the trustworthy solution for video sequence analysis opens up new… Read full abstract & cite →

Multiple object tracking object detection WSM method computer vision video analysis

Abstract doi.org/10.14569/IJACSA.2021.0120811 PDF

12

Mobile Malware Classification for iOS Inspired by Phylogenetics

Author 1: Muhammad Afif Husainiamer Author 2: Madihah Mohd Saudi Author 3: Azuan Ahmad Author 4: Amirul Syauqi Mohamad Syafiq

Cyber-attacks such as ransomware, data breaches, and phishing triggered by malware, especially for iOS (iPhone operating system) platforms, are increasing. Yet not much works on malware detection for the iOS platform have been done compared to the Android platform. Hence, this paper presents an iOS malware classification inspired by phylogenetics… Read full abstract & cite →

iOS mobile malware reverse engineering exploitation phylogenetic

Abstract doi.org/10.14569/IJACSA.2021.0120812 PDF

13

ANNMDD: Strength of Artificial Neural Network Types for Medical Diagnosis Domain

Author 1: Ahmed Hamza Osman

The abundance of medical evidence in health institutions necessitates the creation of effective data collection methods for extracting valuable information. For several years, scholars focused on the use of computational techniques and data processing techniques in order to enhance the study of broad historical datasets. There is a deficiency to… Read full abstract & cite →

Medical data neural network algorithm multiple radial based function network dynamic quick prune accuracy

Abstract doi.org/10.14569/IJACSA.2021.0120813 PDF

14

Optical Character Recognition Engines Performance Comparison in Information Extraction

Author 1: Tosan Wiar Ramdhani Author 2: Indra Budi Author 3: Betty Purwandari

Named Entity Recognition (NER) is often used to acquire important information from text documents as a part of the Information Extraction (IE) process. However, the text documents quality affects the accuracy of the data obtained, especially for text documents acquired involving the Optical Character Recognition (OCR) process, which never reached… Read full abstract & cite →

Named entity recognition information extraction optical character recognition government human resources documents

Abstract doi.org/10.14569/IJACSA.2021.0120814 PDF

15

Higher Order Statistics and Phase Synchronization as Features in a Motor Imagery Paradigm

Author 1: Oana-Diana Hrisca-Eva Author 2: Madalina-Giorgiana Murariu Author 3: Anca Mihela Lazar

The paper proposes an approach based on higher order statistics and phase synchronization for detection and classification of relevant features in electroencephalographic (EEG) signals recorded during the subjects are performing motor tasks. The method was tested on two different datasets and the performance was evaluated using k nearest neighbor classifier… Read full abstract & cite →

Brain computer interface motor imagery higher order statistics phase synchronization EEG

Abstract doi.org/10.14569/IJACSA.2021.0120815 PDF

16

Enhanced Framework for Big Data Requirement Elicitation

Author 1: Aya Hesham Author 2: Osama E. Emam Author 3: Marwa Salah

Requirement engineering is one of the software development life cycle phases; it has been recognized as an important phase for collecting and analyzing a system’s goals. However, despite its importance, requirement engineering has several limitations such as incomplete requirements, vague requirements, lack of prioritization, and less user involvement, all of… Read full abstract & cite →

Requirement engineering big data requirement agile methodology mind mapping

Abstract doi.org/10.14569/IJACSA.2021.0120816 PDF

17

Analyzing Predictive Algorithms in Data Mining for Cardiovascular Disease using WEKA Tool

Author 1: Aman Author 2: Rajender Singh Chhillar

Cardiovascular Disease (CVD) is the foremost cause of death worldwide that generates a high percentage of Electronic Health Records (EHRs). Analyzing these complex patterns from EHRs is a tedious process. To address this problem, Medical Institutions requires effective Predictive Algorithms for the Prognosis and Diagnosis of the Patients. Under this… Read full abstract & cite →

Logistic regression (LR) support vector machine (SVM) Statlog Cleveland WEKA

Abstract doi.org/10.14569/IJACSA.2021.0120817 PDF

18

Enhanced Clustering-based MOOC Recommendations using LinkedIn Profiles (MR-LI)

Author 1: Fatimah Alruwaili Author 2: Dimah Alahmadi

With the rapid development of massive open online courses (MOOCs), the interest of learners in MOOCs has increased significantly. MOOC platforms offer thousands of varied courses with many options. These options make it difficult for learners to choose courses that suit their needs and compatible with their interests. So, they… Read full abstract & cite →

MOOCs recommendation systems content-based clustering term frequency-inverse document frequency (TF-IDF) LinkedIn

Abstract doi.org/10.14569/IJACSA.2021.0120818 PDF

19

Constructing IoT Botnets Attack Pattern for Host-based and Network-based Platform

Author 1: Wan Nur Fatihah Wan Mohd Zaki Author 2: Raihana Syahirah Abdullah Author 3: Warusia Yassin Author 4: Faizal M.A Author 5: Muhammad Safwan Rosli

Internet of things (IoT) is the things or devices with software, intelligent sensors interconnected via the internet to send and receive data with another device. This capacity makes things, i.e., smartphones, smart homes, intelligent toys, baby monitors, IP cameras, and many more to act as intelligent devices like artificial intelligence… Read full abstract & cite →

IoT botnet IoT botnet host-based network-based

Abstract doi.org/10.14569/IJACSA.2021.0120819 PDF

20

A Classification of Essential Factors for the Development and Implementation of Cyber Security Strategy in Public Sector Organizations

Author 1: Waqas Aman Author 2: Jihan Al Shukaili

To ensure the achievement of quality security to safeguard business objectives, implementing, and maintaining an effective Cyber Security Strategy (CSS) is crucial. Inevitably, we need to recognize and evaluate the essential factors, such as technological, cultural, regulatory, economic, and others, that may hinder the efficacy of a CSS development and… Read full abstract & cite →

Cyber security strategy critical factors risk treatment culture threats

Abstract doi.org/10.14569/IJACSA.2021.0120820 PDF

21

Automatic Speech Recognition Features Extraction Techniques: A Multi-criteria Comparison

Author 1: Maria Labied Author 2: Abdessamad Belangour

Features extraction is an important step in Automatic Speech Recognition, which consists of determining the audio signal components that are useful for identifying linguistic content while removing background noise and irrelevant information. The main objective of features extraction is to identify the discriminative and robust features in the acoustic data… Read full abstract & cite →

Automatic speech recognition feature extraction comparative study MFCC PCA LPC DWT WSM

Abstract doi.org/10.14569/IJACSA.2021.0120821 PDF

22

An Approach for Requirements Engineering Analysis using Conceptual Mapping in Healthcare Domain

Author 1: Aya Radwan Author 2: A. Abdo Author 3: Sayed Abdel Gaber

Healthcare systems aim to achieve the best possible support for patient care and to provide good medical care. Good analysis of requirements is essential to avoid any crises. Elicitation of healthcare systems requirements is an emerging and critical phase. It is a challenging task to deal with constraints from the… Read full abstract & cite →

Conceptual mapping healthcare systems clustering requirement engineering analysis

Abstract doi.org/10.14569/IJACSA.2021.0120822 PDF

23

Improved Rough-fuzzy C-means Clustering and Optimum Fuzzy Interference System for MRI Brain Image Segmentation

Author 1: D. Maruthi Kumar Author 2: D. Satyanarayana Author 3: M. N. Giri Prasad

The categorization of brain tissues plays a vital role in various neuro-anatomical identification and implementations. In manual detection, misidentification of location and sound of unwanted tissues may occur due to visual fatigue by humans. Also, it consumes more time and may exhibit enormous partially inner or outer the manipulator. At… Read full abstract & cite →

Cerebrospinal fluid fuzzy interference system enhanced grasshopper optimization algorithm improved rough fuzzy c-means clustering

Abstract doi.org/10.14569/IJACSA.2021.0120823 PDF

24

Empirical Validation of WebQMDW Model for Quality-based External Web Data Source Incorporation in a Data Warehouse

Author 1: Priyanka Bhutani Author 2: Anju Saha Author 3: Anjana Gosain

In recent years, World Wide Web has emerged as the most promising external data source for organizations’ Data Warehouses for valuable insights required in comprehensive decision making to gain a competitive edge. However, when the Data Warehouse uses external data sources from the Web without quality evaluation, it can adversely… Read full abstract & cite →

Data warehouse external data sources web data sources quality evaluation model quality model validation

Abstract doi.org/10.14569/IJACSA.2021.0120824 PDF

25

Correlating Discriminative Quality Factors (CDQF) for Optimal Resource Scheduling in Cloud Networks

Author 1: B. Ravindra Babu Author 2: A.Govardhan

The Correlating Discriminative Quality Factors (CDQF) for Optimal Resource Scheduling in cloud networks has been addressed in this manuscript. It is since the resources under the cloud platform are loosely coupled according to the SLA between the cloud platform and the resource partakers. This enables the possibility of multiple resources… Read full abstract & cite →

Resource management (RM) resource scheduling (RS) resource provisioning (RP) QoS infrastructure-as-a-service (IAAS)

Abstract doi.org/10.14569/IJACSA.2021.0120825 PDF

26

Development of Novel Algorithm for Data Hiding on Mobile Application

Author 1: Roopesh Kumar Author 2: Ajay Kumar Yadav

We can easily observe that in the current era of communication, Computers, mobile phones, and the Internet are widely used mediums. In such an environment, information security is an important issue. The most common techniques used for information security are Cryptography and Steganography. Many research works have been done on… Read full abstract & cite →

Steganography encryption discrete cosine transform DES F5Algorithm

Abstract doi.org/10.14569/IJACSA.2021.0120826 PDF

27

Fuzzy and Genetic Algorithm-based Decision-making Approach for Collaborative Team Formation: A Study on User Acceptance using UTAUT

Author 1: Azleena Mohd Kassim Author 2: Norhanizah Minin Author 3: Yu-N Cheah Author 4: Fazilah Othman

Forming an optimal collaborative team is achieved using members characteristics to improve team efficiency. A team’s performance may have a negative effect when a team is formed randomly. Moreover, it is quite impossible to achieve an optimal team manually as the formation can expand into countless possibilities. Hence, this paper… Read full abstract & cite →

Collaborative team formation genetic algorithm fuzzy logic unified theory of acceptance and use of technology (UTAUT)

Abstract doi.org/10.14569/IJACSA.2021.0120827 PDF

28

Secured SECS/GEM: A Security Mechanism for M2M Communication in Industry 4.0 Ecosystem

Author 1: Ashish Jaisan Author 2: Selvakumar Manickam Author 3: Shams A. Laghari Author 4: Shafiq Ul Rehman Author 5: Shankar Karuppayah

The manufacturing industry has been revolutionized by Industry 4.0, vastly improving the manufacturing process, increasing production quality and capacity. Machine-to-Machine (M2M) communication protocols were developed to strengthen and bind this ecosystem by allowing machines to communicate with each other. The SECS/GEM protocol is at the heart of the manufacturing industry… Read full abstract & cite →

SECS/GEM HSMS cybersecurity industry-4.0 machine-to-machine communication AES-GCM

Abstract doi.org/10.14569/IJACSA.2021.0120828 PDF

29

Evaluating and Comparing the Usability of Privacy in WhatsApp, Twitter, and Snapchat

Author 1: Abdulmohsen S. Albesher Author 2: Thamer Alhussain

With the increased use of social networking platforms, especially with the inclusion of sensitive personal information, it has become important for those platforms to have adequate levels of security and privacy. This research aimed to evaluate the usability of privacy in the WhatsApp, Twitter, and Snapchat applications. The evaluation was… Read full abstract & cite →

HCI usability heuristics evaluation STRAP privacy usable privacy social media

Abstract doi.org/10.14569/IJACSA.2021.0120829 PDF

30

Genetic Algorithm and Ensemble Learning Aided Text Classification using Support Vector Machines

Author 1: Anshumaan Chauhan Author 2: Ayushi Agarwal Author 3: Razia Sulthana

Text classification is one of the areas where machine learning algorithms are used. The size of the dataset and the methods used for converting the textual words into vectors play a major role in classifying them. This paper proposes a heuristic based approach to classify the documents using Genetic Algorithm… Read full abstract & cite →

Genetic algorithm ensemble learning support vector machines text classification

Abstract doi.org/10.14569/IJACSA.2021.0120830 PDF

31

Object Detection Approaches in Images: A Weighted Scoring Model based Comparative Study

Author 1: Hafsa Ouchra Author 2: Abdessamad Belangour

Computer vision is a branch of artificial intelligence that trains computers to acquire high-level understanding of images and videos. Some of the most well-known areas in Computer Vision are object detection, object tracking and motion estimation among others. Our focus in this paper concerns object detection subarea of computer vision… Read full abstract & cite →

Computer vision object detection images WSM method object detection algorithms

Abstract doi.org/10.14569/IJACSA.2021.0120831 PDF

32

On the Training of Deep Neural Networks for Automatic Arabic-Text Diacritization

Author 1: Asma Abdel Karim Author 2: Gheith Abandah

Automatic Arabic diacritization is one of the most important and challenging problems in Arabic natural language processing (NLP). Recurrent neural networks (RNNs) have proved recently to achieve state-of-the-art results for sequence transcription problems in general, and Arabic diacritization in specific. In this work, we investigate the effect of varying the… Read full abstract & cite →

Arabic text automatic diacritization bidirectional neural network long short-term memory natural language processing recurrent neural networks sequence transcription

Abstract doi.org/10.14569/IJACSA.2021.0120832 PDF

33

Unsupervised Clustering of Comments Written in Albanian Language

Author 1: Mërgim H. HOTI Author 2: Jaumin AJDARI

Now-a-days, social media and communications in social media have become very important for services providers and those play a key role in service quality improvement as well as in decision making. The services consumers’ discussions usually are written in their local languages and extracting important knowledge sometimes is very hard… Read full abstract & cite →

Unsupervised clustering k-means spectral agglomerative vectorization Albanian language

Abstract doi.org/10.14569/IJACSA.2021.0120833 PDF

34

Mitigating Traffic Congestion at Road Junction using Fuzzy Logic

Author 1: Amir Hamzah Pohan Author 2: Liza A. Latiff Author 3: Rudzidatul Akmam Dziyauddin Author 4: Nur Haliza Abdul Wahab

The timing of traffic lights at intersections is determined by the Local Authority. It is based on the peak hour statistics and the timing is maintained even during an off-peak hour. This one standard green time will be used every time in a day regardless of the number of vehicles… Read full abstract & cite →

Traffic fuzzy classification congestion traffic lights control

Abstract doi.org/10.14569/IJACSA.2021.0120834 PDF

35

Adaptive Demand Response Management System using Polymorphic Bayesian Inference Supported Multilayer Analytics

Author 1: Sarin CR Author 2: Geetha Mani

The most significant limitation of stand-alone microgrid systems is the challenge of meeting unexpected additional demands. If demand exceeds the capacity of a stand-alone system, the system may be unable to satisfy demand. This issue is alleviated in grid-connected technology since the utility system will provide more power if it… Read full abstract & cite →

Adaptive control Bayesian demand response energy management system load scheduling

Abstract doi.org/10.14569/IJACSA.2021.0120835 PDF

36

Determine the Main Target Audience Characteristics in M-learning Applications in Saudi Arabian University Communities

Author 1: Alaa Badwelan Author 2: Adel A. Bahaddad

In the fourth economic revolution, which is based on digital transformation, the e-learning process represents one of the most important processes needed to deal with the revolution through increased skills and knowledge. Thus, the automation services in the e-learning field represent one of the most important and supportive means of… Read full abstract & cite →

M-learning mobile learning UTAUT KSA MOE application quality qualitative study

Abstract doi.org/10.14569/IJACSA.2021.0120836 PDF

37

Online Discussion Support System with Facilitation Function

Author 1: Chihiro Sasaki Author 2: Tatsuya Oyama Author 3: Chika Oshima Author 4: Shin Kajihara Author 5: Koichi Nakayama

In this paper, we present a discussion board system (DBS) with a facilitator function that we developed for the purpose of facilitating discussions that require decision-making that incorporates diverse values and opinions. Its function is to constantly extract nouns from the utterances of discussion participants and display them on the… Read full abstract & cite →

Discussion board system decision-making facilitation function diverse values and opinions

Abstract doi.org/10.14569/IJACSA.2021.0120837 PDF

38

Hybrid Spelling Correction and Query Expansion for Relevance Document Searching

Author 1: Dewi Soyusiawaty Author 2: Denny Hilmawan Rahmatullah Wolley

A digital library is a type of information retrieval (IR) system. The existing IR methodologies generally have problems on keyword searching. Some of search engine has not been able to provide search results with partial matching and typographical error. Therefore, it is required to be able to provide search results… Read full abstract & cite →

Cosine similarity information retrieval Levenshtein distance TF-IDF typographical error query expansion

Abstract doi.org/10.14569/IJACSA.2021.0120838 PDF

39

Usability Perceptions of the Madrasati Platform by Teachers in Saudi Arabian Schools

Author 1: Wesam Shishah

As a result of the COVID-19 pandemic, the Saudi Ministry of Education launched the Madrasati Platform for distant teaching and learning for schools. Therefore, recognizing the design and the usability challenges that are linked to this new platform is significant. This paper reports the results of a study that examines… Read full abstract & cite →

Usability Madrasati Platform e-learning Saudi Arabia schools

Abstract doi.org/10.14569/IJACSA.2021.0120839 PDF

40

IDD-HPO: A Proposed Model for Improving Diabetic Detection using Hyperparameter Optimization and Cloud Mapping Storage

Author 1: Eman H. Zaky Author 2: Mona M. Soliman Author 3: A. K. Elkholy Author 4: Neveen I. Ghali

Readmission to the hospital is an important and critical procedure for the quality of health care as it is very costly and helps in determining the quality level of the point of care provided by the hospital to the patient. This paper proposes a group model to predict readmission by… Read full abstract & cite →

Machine learning deep learning diabetes hospital readmission hyper parameter optimization cloud computing mobile cloud computing

Abstract doi.org/10.14569/IJACSA.2021.0120840 PDF

41

Emotional Cascade Model and Deep Learning

Author 1: Carlos Pelta

Emotional Cascade Model proposes that the emotional and behavioral dysregulation of individuals with Borderline Personality Disorder can be understood through emotional cascades. Emotional cascades are vicious cycles of intense rumination and negative affect that may induce aversive emotional states that generate abnormal behaviors to reduce the effect of intense rumination… Read full abstract & cite →

Emotional cascade model borderline personality disorder rumination deep learning cascade-correlation algorithm

Abstract doi.org/10.14569/IJACSA.2021.0120841 PDF

42

Diabetes Classification using an Expert Neuro-fuzzy Feature Extraction Model

Author 1: P. Bharath Kumar Chowdary Author 2: R. Udaya Kumar

Diabetes is one of the challenging diseases prevailing in recent times. Due to the incompleteness, uncertainty and imprecise details, classification of diabetes using machine learning algorithms is turning out to be even more challenging. The efficiency of the classification model is influenced by the data present in the dataset. This… Read full abstract & cite →

Diabetes neuro-fuzzy model feature extraction artificial neural network

Abstract doi.org/10.14569/IJACSA.2021.0120842 PDF

43

A Multiagent and Machine Learning based Hybrid NIDS for Known and Unknown Cyber-attacks

Author 1: Said OUIAZZANE Author 2: Malika ADDOU Author 3: Fatimazahra BARRAMOU

The objective of this paper is to propose a hybrid Network Intrusion Detection System (NIDS) for the detection of cyber-attacks that may target modern computer networks. Indeed, in the era of technological evolution that the world is currently experiencing, hackers are constantly inventing new attack mechanisms that can bypass traditional… Read full abstract & cite →

Intrusion detection zero-day attacks machine learning multi-agent systems security

Abstract doi.org/10.14569/IJACSA.2021.0120843 PDF

44

Software Quality Analysis for Halodoc Application using ISO 25010:2011

Author 1: Aditia Arga Pratama Author 2: Achmad Benny Mutiara

The rapid spread of the Covid-19 disease and the ongoing social distancing have disrupted community activities. This consequently makes people use information and communication technology, especially in the fields of health, education, and business. The use of information and communication technology in the health sector plays an important role in… Read full abstract & cite →

Halodoc ISO 25010:2011 software quality assurance telemedicine

Abstract doi.org/10.14569/IJACSA.2021.0120844 PDF

45

The Novel CPW 2.4 GHz Antenna with Parallel Hybrid Electromagnetic Solar for IoT Energy Harvesting and Wireless Sensors

Author 1: Irfan Mujahidin Author 2: Akio Kitagawa

The design and implementation's novelty simultaneously utilizes the antenna's frequency, polarization, and feed structure to maximize the harvested RF energy and become a microstrip communication circuit for wireless sensor or communication systems in IoT devices. In addition, the optimization of the parallel circuit configuration has a voltage doubler model with… Read full abstract & cite →

Double CPW antenna energy harvesting wireless sensors IoT communications

Abstract doi.org/10.14569/IJACSA.2021.0120845 PDF

46

Smart Air Pollution Monitoring System with Smog Prediction Model using Machine Learning

Author 1: Salman Ahmad Siddiqui Author 2: Neda Fatima Author 3: Anwar Ahmad

Air Pollution is a harsh reality of today’s times. With rapid industrialization and urbanization, the polluting gases emitted by the burning of fossil fuels in industries, factories and vehicles, cities around the world have become “gas chambers”. Unfortunately, New Delhi too happens to be among the most polluted cities in… Read full abstract & cite →

Air pollution IoT machine learning smart mirror temperature and humidity sensor

Abstract doi.org/10.14569/IJACSA.2021.0120846 PDF

47

Novel Secure Validation Scheme to Assess Device Legitimacy in Internet of Things

Author 1: Ayasha Author 2: M Savitha Devi

The increasing security concerns in Internet-of-Things (IoT) have led the researchers to evolve up with multiple levels of the research-based solution towards identifying and protecting the lethal threats. After reviewing the existing literature, it is found that existing approaches are highly specific toward stopping threats via predefined threat information. Hence… Read full abstract & cite →

Internet of things security validation privacy integrity attacks

Abstract doi.org/10.14569/IJACSA.2021.0120847 PDF

48

An Efficient IoT-based Smart Water Meter System of Smart City Environment

Author 1: Raad AL-Madhrahi Author 2: Nayef.A.M. Alduais Author 3: Jiwa Abdullah Author 4: Hairulnizam B. Mahdin Author 5: Abdul-Malik H. Y. Saad Author 6: Abdullah B. Nasser Author 7: Husam Saleh Alduais

Water is a precious need of our lives. Due to the rapid population and urbanization, water usage monitoring is a significant problem facing our society. One solution is to control, analyze, and reduce the water consumption of the houses. The emerging of the Internet of Things (IoT) concept lately in… Read full abstract & cite →

Internet of things smart water metering energy consumption smart city

Abstract doi.org/10.14569/IJACSA.2021.0120848 PDF

49

White-Grey-Black Hat Hackers Role in World and Russian Domestic and Foreign Cyber Strategies

Author 1: Mikhail A. Shlyakhtunov

The article aims at establishing the role of three different types of hackers in the domestic cyber space, policy and welfare, international relations and warfare of the Russian Federation compared to the situation in the world as for the beginning of 2020 year. The character and structure of hackers’ participation… Read full abstract & cite →

Cyber wars cybercriminals disinformation espionage hackers information security military technology

Abstract doi.org/10.14569/IJACSA.2021.0120849 PDF

50

RETRACTED: Mobile Computational Vision System in the Identification of White Quinoa Quality

Author 1: Percimil Lecca-Pino Author 2: Daniel Tafur-Vera Author 3: Michael Cabanillas-Carbonell Author 4: José Luis Herrera Salazar Author 5: Esteban Medina-Rafaile

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this… Read full abstract & cite →

Computer vision system quinoa quality digital image processing

Abstract doi.org/10.14569/IJACSA.2021.0120850 PDF

51

Radiofrequency Temperature Control System for Fish Capture

Author 1: Walter Vásquez-Cubas Author 2: Marvin Zarate-Cuzco Author 3: Michael Cabanillas-Carbonell Author 4: José Luis Herrera Salazar Author 5: Oswaldo Casazola-Cruz

Artisanal fishing is one of the activities with the greatest economic impact worldwide. In the present research, the radiofrequency temperature monitoring system for fish catches was aimed to determine the influence on the satisfaction of fish catches. The dimensions included were time delay and direct cost; on the other hand… Read full abstract & cite →

Temperature monitoring system satisfaction radiofrequency fish capture

Abstract doi.org/10.14569/IJACSA.2021.0120851 PDF

52

Ontology based Semantic Query Expansion for Searching Queries in Programming Domain

Author 1: Manal Anwer Khedr Author 2: Fatma A. El-Licy Author 3: Akram Salah

Information on the web is growing rapidly; learning programming languages has become one of the most widely searched topics. Programmers and people of several backgrounds are now using Web search engines to acquire programming information, including information about a specific language or topic. Nonetheless, due to a lack of programming… Read full abstract & cite →

Query expansion ontology semantic search short queries cosine similarity

Abstract doi.org/10.14569/IJACSA.2021.0120852 PDF

53

A Cryptographic Technique for Communication among IoT Devices using Tiger192 and Whirlpool

Author 1: Bismark Tei Asare Author 2: Kester Quist-Aphetsi Author 3: Laurent Nana

The heterogeneous standards and operational platforms of IoT devices, introduce additional security loopholes into the network thereby increasing the attack surface for the IoT. Most of the devices used in these IoT systems are not secure by design. Such vulnerable devices pose a great threat to the IoT system. In… Read full abstract & cite →

IoT devices whirlpool Tiger192 internet of things security cryptographic communication

Abstract doi.org/10.14569/IJACSA.2021.0120853 PDF

54

User-centred Design and Evaluation of Web and Mobile based Travelling Applications

Author 1: Nor Azman Ismail Author 2: Siti Fatimah Nizam Author 3: Simon Yuen Author 4: Layla Hasan Author 5: Su Elya Mohamed Author 6: Wong Yee Leng Author 7: Khalid Krayz Allah

Travelling has been known as one of the top-rated activities people do during their leisure time. In this digital time, people usually research before visiting a new place to avoid unpleasant events and to have a well-planned trip. Due to the complexity of search engine browsers, people have been switching… Read full abstract & cite →

Usability travelling application SUS questionnaire: low-fidelity prototype user-centred design (UCD)

Abstract doi.org/10.14569/IJACSA.2021.0120854 PDF

55

Experimental Study of Hybrid Genetic Algorithms for the Maximum Scatter Travelling Salesman Problem

Author 1: Zakir Hussain Ahmed Author 2: Asaad Shakir Hameed Author 3: Modhi Lafta Mutar Author 4: Mohammed F. Alrifaie Author 5: Mundher Mohammed Taresh

We consider the maximum scatter travelling salesman problem (MSTSP), a travelling salesman problem (TSP) variant. The problem aims to maximize the shortest edge in the tour that travels each city only once in the given network. It is a very complicated NP-hard problem, and hence, exact solutions are obtainable for… Read full abstract & cite →

Hybrid genetic algorithm maximum scatter travelling salesman problem sequential constructive crossover adaptive mutation local search perturbation procedure

Abstract doi.org/10.14569/IJACSA.2021.0120855 PDF

56

Knowledge Extraction and Data Visualization: A Proposed Framework for Secure Decision Making using Data Mining

Author 1: Hazzaa N. Alshareef Author 2: Ahmed Majrashi Author 3: Maha Helal Author 4: Muhammad Tahir

The decision-making process, promptly on time, is a crucial success factor in large organizations. Generally, the data warehouses of these organizations grow rapidly with the data generated from various business activities. This huge volume of data needs to be analyzed and decisions must be made quickly to meet the market… Read full abstract & cite →

Big data data mining data visualization classification cloud computing security

Abstract doi.org/10.14569/IJACSA.2021.0120856 PDF

57

Automated Labeling of Hyperspectral Images for Oil Spills Classification

Author 1: Madonna Said Author 2: Monica Hany Author 3: Monica Magdy Author 4: Omar Saleh Author 5: Maha Sayed Author 6: Yomna M.I. Hassan Author 7: Ayman Nabil

The constant increase in oil demand caused a huge loss in the form of oil spills during the process of exporting the product, which leads to an increase in pollution, especially in the marine environment. This research assists in providing a solution for this problem through modern technology by detecting… Read full abstract & cite →

Oil spills hyperspectral imagery unlabeled data k-means cluster classification

Abstract doi.org/10.14569/IJACSA.2021.0120857 PDF

58

Logistic Regression Modeling to Predict Sarcopenia Frailty among Aging Adults

Author 1: Sukhminder Kaur Author 2: Azween Abdullah Author 3: Noran Naqiah Hairi Author 4: Siva Kumar Sivanesan

Sarcopenia and frailty have been associated with low aging population capacities for exercise and high metabolic instability. To date, the current models merely support one classification with an accuracy of 83%. The models also reflect overfitting dataset complexities in predicting the accuracy and detecting the misclassifications of rare diseases. As… Read full abstract & cite →

Sarcopenia frailty logistic regression model prediction

Abstract doi.org/10.14569/IJACSA.2021.0120858 PDF

59

Adaptive Continuous Authentication System for Smartphones using Hyper Negative Selection and Random Forest Algorithms

Author 1: Maryam M. Alharbi Author 2: Rashiq Rafiq Marie

As smartphones have become a part of our daily lives, including payment and banking transactions; therefore, increasing current data and privacy protection models is essential. A continuous authentication model aims to track the smartphone user's interaction after the initial login. However, current continuous authentication models are limited due to dynamic… Read full abstract & cite →

Continuous authentication (CA) artificial immunes system (AIS) negative selection algorithm (NSA) random forest algorithm (RFA) smartphones

Abstract doi.org/10.14569/IJACSA.2021.0120859 PDF

60

Lightweight Chain for Detection of Rumors and Fake News in Social Media

Author 1: Yazed Alsaawy Author 2: Ahmad Alkhodre Author 3: Nour M. Bahbouh Author 4: Adnan Abi Sen Author 5: Adnan Nadeem

Social media has become one of the most important sources of news in our lives, but the process of validating news and limiting rumors remains an open research issue. Many researchers have suggested using Blockchain to solve this problem, but it has traditionally failed due to the large volume of… Read full abstract & cite →

Component fake news detection text mining blockchain detection algorithms words

Abstract doi.org/10.14569/IJACSA.2021.0120860 PDF

61

Auditor's Perception on Technology Transformation: Blockchain and CAATs on Audit Quality in Indonesia

Author 1: Meiryani Author 2: Monika Sujanto Author 3: ASL Lindawati Author 4: Arif Zulkarnain Author 5: Suryadiputra Liawatimena

The purpose of this study is to analyze the auditor’s perception of the implementation of technology transformation such as: blockchain and CAATs that can affect audit quality at the Big Four Public Accounting Firm in Jakarta. This study uses quantitative research methods using a combination of primary and secondary data… Read full abstract & cite →

Blockchain CAATs audit quality auditor’s perception technology transformation

Abstract doi.org/10.14569/IJACSA.2021.0120861 PDF

62

The Effect of using Flipped Learning Strategy on the Academic Achievement of Eighth Grade Students in Jordan

Author 1: Firas Ibrahem Mohammad Al-Jarrah Author 2: Mustafa Ayasreh Author 3: Fadi Bani Ahmad Author 4: Othman Mansour

This study aimed to reveal the effect of using the flipped learning strategy on the development of achievement and the trend towards it among eighth grade students in the English language subject in the Hashemite Kingdom of Jordan. The sample of the study consisted of a sample of eighth-grade students… Read full abstract & cite →

Strategy flipped learning academic achievement eighth grade introduction

Abstract doi.org/10.14569/IJACSA.2021.0120862 PDF

63

Analysis and Optimization of Delegation-based Sequenced Packet Exchange (SPX) Protocol: A Kailar Logic Approach

Author 1: Ebrima Jaw Author 2: Mbemba Hydara Author 3: Wang Xue Ming

Accountability within electronic commerce protocols has tremendous significance, especially those that require answerability for the actions taken by participants. In this study, the authors evaluate the delegation of accountability based on the Sequenced Packet Exchange (SPX) protocol. The study emphasizes the concept of provability as a benchmark to formalize accountability… Read full abstract & cite →

Delegator accountability grantor Kailar logic principal client delegate grantee

Abstract doi.org/10.14569/IJACSA.2021.0120863 PDF

64

Analysis of Big Data Storage Tools for Data Lakes based on Apache Hadoop Platform

Author 1: Vladimir Belov Author 2: Evgeny Nikulchev

When developing large data processing systems, the question of data storage arises. One of the modern tools for solving this problem is the so-called data lakes. Many implementations of data lakes use Apache Hadoop as a basic platform. Hadoop does not have a default data storage format, which leads to… Read full abstract & cite →

Big data formats data lakes Apache Hadoop data warehouses

Abstract doi.org/10.14569/IJACSA.2021.0120864 PDF

65

An IoT-based Coastal Recreational Suitability System using Effective Messaging Protocol

Author 1: Farashazillah Yahya Author 2: Ahmad Farhan Ahmad Zaki Author 3: Ervin Gubin Moung Author 4: Hasimi Sallehudin Author 5: Nur Azaliah Abu Bakar Author 6: Rio Guntur Utomo

Coastal recreational activities are one of the main attractions for local public beachgoers and overseas tourists. The accessibility to better-quality coastal water will enhance safety and public health awareness when the information is available. Existing platforms showing the risk of whether a beach is suitable for public recreational use is… Read full abstract & cite →

Coastal recreational internet of things message queuing telemetry transport sensor water quality

Abstract doi.org/10.14569/IJACSA.2021.0120865 PDF

66

Threat Analysis using N-median Outlier Detection Method with Deviation Score

Author 1: Pattabhi Mary Jyosthna Author 2: Konala Thammi Reddy

Any organization can only operate optimally if all employees fulfil their roles and responsibilities. For the majority of tasks and activities, each employee must collaborate with other employees. Every employee must log their activities related with their roles, responsibilities, and access permissions. Some users may deviate from their work or… Read full abstract & cite →

Organizational roles insider threats outlier detection deviation score

Abstract doi.org/10.14569/IJACSA.2021.0120866 PDF

67

Methods and Architectural Patterns of Storage, Analysis and Distribution of Spatio-temporal Data

Author 1: Stanislav A. Yamashkin Author 2: Anatoliy A. Yamashkin Author 3: Ekaterina O. Yamashkina Author 4: Sergey M. Kovalenko

The work describes the key principles of the process of building digital spatial data infrastructures for effective decision-making in the management of natural systems and for the sustainable development of the regional economy. The following reference points are considered in detail: increasing the accuracy of the deep learning and neural… Read full abstract & cite →

Spatial data infrastructure deep learning neural networks spatial data geoportals

Abstract doi.org/10.14569/IJACSA.2021.0120867 PDF

68

Development of Architecture and Software Implementation of Deep Neural Network Models Repository for Spatial Data Analysis

Author 1: Stanislav A. Yamashkin Author 2: Anatoliy A. Yamashkin Author 3: Ekaterina O. Yamashkina Author 4: Milan M. Radovanovic

The article presents the key aspects of designing and developing a repository of deep neural network models for analyzing and predicting the development of spatial processes based on spatial data. The framework of the system operates on the basis of the MVC pattern, in which the framework is decomposed into… Read full abstract & cite →

Repository deep learning artificial neural network spatial data visual programming software design

Abstract doi.org/10.14569/IJACSA.2021.0120868 PDF

69

The Development of Green Software Process Model

Author 1: Siti Rohana Ahmad Ibrahim Author 2: Jamaiah Yahaya Author 3: Hasimi Salehudin Author 4: Aziz Deraman

Software process and development are the fundamental activities in software engineering. Increasing software usage either develops in-house or outsourcing requires improving the software process accordingly to minimise the adverse effects on the environment. The resources and power consumption controlled by hardware affected the software to move the process that causes… Read full abstract & cite →

Software process green factor waste reduction qualitative instrument green software process model

Abstract doi.org/10.14569/IJACSA.2021.0120869 PDF

70

Robot Chat System (Chatbot) to Help Users “Homelab” based in Deep Learning

Author 1: Aji Naufal Aqil Author 2: Burhanuddin Dirgantara Author 3: Istikmal Author 4: Umar Ali Ahmad Author 5: Reza Rendian Septiawan Author 6: Alex Lukmanto Suherman

Homelab is a discussion platform on course materials and assignments for students and is packed in an Android application product and website. The Homelab website is built using Laravel. For Android-based Homelab application development, a special Application Programming Interface (API) with JWT security is made in this research. In Homelab… Read full abstract & cite →

API Chatbot deep learning Homelab question and answer forum

Abstract doi.org/10.14569/IJACSA.2021.0120870 PDF

71

Optimized Energy-efficient Load Balance Routing Protocol for Wireless Mesh Networks

Author 1: M Kiran Sastry Author 2: Arshad Ahmad Khan Mohammad Author 3: Arif Mohammad Abdul

Wireless mesh network (WMN) technology gains the user attractions due to its deployment flexibility. The main challenging task in the WMN is the provision of Quality of Service due to its unbalanced traffic in communication. Moreover, the recent advancement in wireless technology has fueled the user’s attraction towards the delay-sensitive… Read full abstract & cite →

Wireless mesh network routing energy efficiency optimization

Abstract doi.org/10.14569/IJACSA.2021.0120871 PDF

72

Vertical Handover Algorithm for Telemedicine Application in 5G Heterogeneous Wireless Networks

Author 1: Boh Wen Diong Author 2: Mark Irwin Goh Author 3: Seng Kheau Chung Author 4: Ali Chekima Author 5: Hoe Tung Yew

In this fast-paced technology era, the advancement of telecommunication systems has made many advanced technologies possible. With the help of the 5G technology, more technologies will become a reality and telemedicine is one of them. Numerous studies have shown that the fatal rate of ischemic heart disease cases can be… Read full abstract & cite →

Mobile terminal vertical handover heterogeneous networks unnecessary handover telemedicine TOPSIS

Abstract doi.org/10.14569/IJACSA.2021.0120872 PDF

73

Analysis of Electroencephalography Signals using Particle Swarm Optimization

Author 1: Shereen Essam Elbohy Author 2: Laila Abdelhamed Author 3: Farid Mousa Ali Author 4: Mona M. Nasr

Brain computer interface devices monitor the brain signals and convert them into control commands in an attempt to imitate certain human cognitive functions. Numerous studies and applications have developed, because of the researchers' interest in systems in recent years. The capacity to categorize electroencephalograms is essential for building effective brain-computer… Read full abstract & cite →

Electroencephalographic k-nearest neighbors long short-term memory epileptic seizure recognition decision tree

Abstract doi.org/10.14569/IJACSA.2021.0120873 PDF

74

Fuzzy C-mean Missing Data Imputation for Analogy-based Effort Estimation

Author 1: Ayman Jalal AlMutlaq Author 2: Dayang N. A. Jawawi Author 3: Adila Firdaus Binti Arbain

The accuracy of effort estimation in one of the major factors in the success or failure of software projects. Analogy-Based Estimation (ABE) is a widely accepted estimation model since its flow human nature in selecting analogies similar in nature to the target project. The accuracy of prediction in ABE model… Read full abstract & cite →

Analogy-based effort estimation imputation missing data fuzzy c-mean

Abstract doi.org/10.14569/IJACSA.2021.0120874 PDF

75

Simplified IT Risk Management Maturity Audit System based on “COBIT 5 for Risk”

Author 1: Hasnaa Berrada Author 2: Jaouad Boutahar Author 3: Souhaïl El Ghazi El Houssaïni

In recent years, the role of risk management has emerged as a key success factor in ensuring the growth on the one hand and the survival on the other hand of any organization. Moreover, dependence on IT has become systematic within any organization. This dependence therefore, implies the importance of… Read full abstract & cite →

IT risk management COBIT 5 for risk maturity audit system COBIT 5 enablers analysis axes maturity scale and score maturity audit report

Abstract doi.org/10.14569/IJACSA.2021.0120875 PDF

76

ExMrec2vec: Explainable Movie Recommender System based on Word2vec

Author 1: Amina SAMIH Author 2: Abderrahim GHADI Author 3: Abdelhadi FENNAN

According to the user profile, a recommender system intends to offer items to the user that may interest him. The recommendations have been applied successfully in various fields. Recommended items include movies, books, travel and tourism services, friends, research articles, research queries, and much more. Hence the presence of recommender… Read full abstract & cite →

Recommender system explainable artificial intelligence machine learning Word2vec

Abstract doi.org/10.14569/IJACSA.2021.0120876 PDF

77

Using Blockchain in the Internet of Things Coordination

Author 1: Radia Belkeziz Author 2: Zahi Jarir

Now-a-days, the Internet of Things (IoT) has generated enormous interest from industry to create distributed and innovative solutions. However, achieving this goal is a tedious task and presents several open challenges as the literature points out. One of the most complex is the IoT coordination service. Unfortunately, most research works… Read full abstract & cite →

Internet of things IoT Internet of things coordination blockchain smart contract multi-agent systems

Abstract doi.org/10.14569/IJACSA.2021.0120877 PDF

78

Improving Data Security using Compression Integrated Pixel Interchange Model with Efficient Encryption Technique

Author 1: Naga Raju Hari Manikyam Author 2: Munisamy Shyamala Devi

We exist in a digital era in which communication is largely based on the transfer of digital knowledge over data networks. Disclosures are sometimes regarded as a transmitter that transmits a digital file. A system of encoding, efficient and easy yet secure model must be developed for quick and prompt… Read full abstract & cite →

Image segmentation image pixel extraction pixel compression pixel interchange image security

Abstract doi.org/10.14569/IJACSA.2021.0120878 PDF

79

Cyclic Path Planning of Hyper-redundant Manipulator using Whale Optimization Algorithm

Author 1: Affiani Machmudah Author 2: Setyamartana Parman Author 3: Aijaz Abbasi Author 4: Mahmud Iwan Solihin Author 5: Teh Sabariah Abd Manan Author 6: Salmia Beddu Author 7: Amiruddin Ahmad Author 8: Nadiah Wan Rasdi

This paper develops a path planning algorithm of hyper-redundant manipulators to achieve a cyclic property. The basic idea is based on a geometrical analysis of a 3-link planar series manipulator in which there is an orientation angle boundary of a prescribed path. To achieve the repetitive behavior, for hyper-redundant manipulators… Read full abstract & cite →

Hyper-redundant path planning whale optimization algorithm sustainable manufacturing

Abstract doi.org/10.14569/IJACSA.2021.0120879 PDF

80

Deep Learning Predictive Model for Colon Cancer Patient using CNN-based Classification

Author 1: Zarrin Tasnim Author 2: Sovon Chakraborty Author 3: F. M. Javed Mehedi Shamrat Author 4: Ali Newaz Chowdhury Author 5: Humaira Alam Nuha Author 6: Asif Karim Author 7: Sabrina Binte Zahir Author 8: Md. Masum Billah

In recent years, the area of Medicine and Healthcare has made significant advances with the assistance of computational technology. During this time, new diagnostic techniques were developed. Cancer is the world's second-largest cause of mortality, claiming the lives of one out of every six individuals. The colon cancer variation is… Read full abstract & cite →

Colon cancer MobileNetV2 Max pooling Average pooling data loss accuracy

Abstract doi.org/10.14569/IJACSA.2021.0120880 PDF

81

Towards Indian Sign Language Sentence Recognition using INSIGNVID: Indian Sign Language Video Dataset

Author 1: Kinjal Mistree Author 2: Devendra Thakor Author 3: Brijesh Bhatt

Sign language, a language used by Deaf community, is a fully visual language with its own grammar. The Deaf people find it very difficult to express their feelings to the other people, since the other people lack the knowledge of the sign language used by the Deaf community. Due to… Read full abstract & cite →

Indian sign language sign language recognition pretrained models transfer learning vision-based approaches

Abstract doi.org/10.14569/IJACSA.2021.0120881 PDF

82

Automated Pavement Distress Detection, Classification and Measurement: A Review

Author 1: Brahim Benmhahe Author 2: Jihane Alami Chentoufi

Road surface distress is an unavoidable situation due to age, vehicles overloading, temperature changes, etc. In the beginning, pavement maintenance actions took only place after having too much pavement damage, which leads to costly corrective actions. Therefore, scheduled road surface inspections can extend service life while guaranteeing users security and… Read full abstract & cite →

Automated pavement distress detection smarts cities pavement management system machine learning deep neural networks

Abstract doi.org/10.14569/IJACSA.2021.0120882 PDF

83

A Model-driven Architecture for Collaborative Business Processes

Author 1: Leila Amdah Author 2: Naima Essadi Author 3: Adil Anwar

The Model Driven Engineering was developed to make application development more flexible, it provides a comprehensive interoperability framework for defining interconnected systems, and aims to reduce the inherent complexity that partners must face when developing their systems. In collaborative environments where systems are made through the collaboration of several departments… Read full abstract & cite →

Model Driven Engineering (MDE) Business Process Model and Notation (BPMN) Business Process Execution Language (BPEL) ATLAS Transformation Language (ATL) BPMN to BPEL Transformation

Abstract doi.org/10.14569/IJACSA.2021.0120883 PDF

84

Comprehensive Study on Machine Learning Techniques for Software Bug Prediction

Author 1: Nasraldeen Alnor Adam Khleel Author 2: Károly Nehéz

Software bugs are defects or faults in computer programs or systems that cause incorrect or unexpected operations. These negatively affect software quality, reliability, and maintenance cost; therefore many researchers have already built and developed several models for software bug prediction. Till now, a few works have been done which used… Read full abstract & cite →

Static code analysis software bug prediction software metrics machine learning techniques

Abstract doi.org/10.14569/IJACSA.2021.0120884 PDF

85

The Effect of Adaptive Learning Rate on the Accuracy of Neural Networks

Author 1: Jennifer Jepkoech Author 2: David Muchangi Mugo Author 3: Benson K. Kenduiywo Author 4: Edna Chebet Too

Learning rates in gradient descent algorithms have significant effects especially on the accuracy of a Capsule Neural Network (CNN). Choosing an appropriate learning rate is still an issue to date. Many developers still have a problem in selecting a learning rate for CNN leading to low accuracies in classification. This… Read full abstract & cite →

CNN ConvNet learning rate gradient descent

Abstract doi.org/10.14569/IJACSA.2021.0120885 PDF

86

A Systematic Review Web Content Mining Tools and its Applications

Author 1: Manjunath Pujar Author 2: Monica R Mundada

In recent years, the emergence of WWW (World Wide Web) led to the accumulation of huge amount of information and data. Hence the web is found to consist of unstructured and structured information that impacts the day to day life of the society. Because of such availability of huge information… Read full abstract & cite →

Web content mining web structure mining web usage mining data mining information retrieval information extraction.

Abstract doi.org/10.14569/IJACSA.2021.0120886 PDF

87

Usability and Learning Environment of a Virtual Reality Simulator for Laparoscopic Surgery Training

Author 1: Karina Rosas-Paredes Author 2: José Esquicha-Tejada Author 3: Héctor Manrique Morante Author 4: Agueda Muñoz del Carpio Toia

One of the critical aspects of laparoscopic surgeries is the training and learning of medical students to acquire the experience and the correct use of the equipment, which is usually difficult due to different circumstances. One of the ways to improve these activities is by using Virtual Reality technology that… Read full abstract & cite →

Usability learning environment virtual reality training simulator medical laparoscopic surgery

Abstract doi.org/10.14569/IJACSA.2021.0120887 PDF

88

Detection of Hepatoma based on Gene Expression using Unitary Matrix of Singular Vector Decomposition

Author 1: Lailil Muflikhah Author 2: Nashi Widodo Author 3: Wayan Firdaus Mahmudy Author 4: Solimun Author 5: Ninik Nihayatul Wahibah

Hepatoma is a long-term disease with a high risk of mortality. However, the disease is late detected, at the fourth level stadium due to silent symptoms. The infected hepatitis B virus gene HBx is a genome virus to trigger liver disease. This virus inserts material genetic into the host and… Read full abstract & cite →

Hepatoma gene expression feature extraction unitary matrix

Abstract doi.org/10.14569/IJACSA.2021.0120888 PDF

89

Anti-Islamic Arabic Text Categorization using Text Mining and Sentiment Analysis Techniques

Author 1: Rawan Abdullah Alraddadi Author 2: Moulay Ibrahim El-Khalil Ghembaza

The aim of this research is to detect and classify websites based on their content if it encourages spreading hate speech toward Islam and Muslims, or Islamophobia using sentiment analysis and web text mining techniques. In this research, a large dataset corpus has been collected, to identify and classify anti-Islamic… Read full abstract & cite →

Web Text mining text classification Arabic computational linguistics natural language processing SVM MNB opinion mining hate speech toxic language detection

Abstract doi.org/10.14569/IJACSA.2021.0120889 PDF

90

Machine Learning Model to Analyze Telemonitoring Dyphosia Factors of Parkinson’s Disease

Author 1: Mohimenol Islam Fahim Author 2: Syful Islam Author 3: Sumaiya Tun Noor Author 4: Md. Javed Hossain Author 5: Md. Shahriar Setu

For many years, lots of people have been suffering from Parkinson’s disease all over the world, and some datasets are generated by recording important PD features for reliable decision-making diagnostics. But a dataset can contain correlated data points and outliers that can affect the dataset’s output. In this work, a… Read full abstract & cite →

Parkinson’s disease correlation outliers machine learning RFE-based analysis

Abstract doi.org/10.14569/IJACSA.2021.0120890 PDF

91

Vietnamese Sentence Paraphrase Identification using Pre-trained Model and Linguistic Knowledge

Author 1: Dien Dinh Author 2: Nguyen Le Thanh

The paraphrase identification task identifies whether two text segments share the same meaning, thereby playing a crucial role in various applications, such as computer-assisted translation, question answering, machine translation, etc. Although the literature on paraphrase identification in English and other popular languages is vast and growing, the research on this… Read full abstract & cite →

Paraphrase identification Vietnamese pre-trained model linguistics neural networks

Abstract doi.org/10.14569/IJACSA.2021.0120891 PDF

92

Optimized Design of Decoder 2 to 4, 3 to 8 and n to 2n using Reversible Gates

Author 1: Issam Andaloussi Author 2: Sedra Moulay Brahim Author 3: Mariam El Ghazi

The design of low consumption CMOS circuits, nanotechnologies and quantum computing has becomed more attached to the reversible logic. A set of gates have been recently exploited in reversible computer science for the design of certain circuits. Among them, we find the decoders. In this paper we have exploited a… Read full abstract & cite →

Decoder 2to4 Decoder 3to8 Decoder n to2n Number of Gates (CG) Number of Garbage Output (NGO) Number of Constant Inputs (NCI) Quantum Cost (QC) Hardware Complexity (HC)

Abstract doi.org/10.14569/IJACSA.2021.0120892 PDF

93

Grammatical Error Correction with Denoising Autoencoder

Author 1: Krzysztof Pajak Author 2: Adam Gonczarek

A denoising autoencoder sequence-to-sequence model based on transformer architecture proved to be useful for underlying tasks such as summarization, machine translation, or question answering. This paper investigates the possibilities of using this model type for grammatical error correction and introduces a novel method of remark-based model checkpoint output combining. This… Read full abstract & cite →

Denoising autoencoder transformer sequence-to-sequence grammatical error correction model ensembling error remarks filtering fine-tuning

Abstract doi.org/10.14569/IJACSA.2021.0120893 PDF

94

A Unique Glottal Flow Parameters based Features for Anti-spoofing Countermeasures in Automatic Speaker Verification

Author 1: Ankita Chadha Author 2: Azween Abdullah Author 3: Lorita Angeline

The domain of Automatic Speaker Verification (ASV) is blooming with growing developments in feature en-gineering and artificial intelligence. Inspite of this, the system is liable to spoofing attacks in the form of synthetic or replayed speech. The difficulty in detecting synthetic speech is due to recent advancements in the Voice… Read full abstract & cite →

Spoof detection synthetic speech glottal excitation speaker verification voice conversion text-to-speech

Abstract doi.org/10.14569/IJACSA.2021.0120894 PDF

95

Knowledge Base Driven Automatic Text Summarization using Multi-objective Optimization

Author 1: Chihoon Jung Author 2: Wan Chul Yoon Author 3: Rituparna Datta Author 4: Sukhwan Jung

Automatic Text summarization aims to automati-cally generate condensed summary from a large set of documents on the same topic. We formulate text summarization task as a multi-objective optimization problem by defining information coverage and diversity as two conflicting objective functions. With this formulation, we propose a novel technique to improve… Read full abstract & cite →

Multi-document summarization evolutionary multi-objective optimization knowledge base named entity recognition

Abstract doi.org/10.14569/IJACSA.2021.0120895 PDF

96

An Adaptive Discrete Brain Storm Algorithm Solves 3D Protein Structure Prediction

Author 1: Alaa Fahim Author 2: Nehad Abdelraheem

Brain Storm Optimization (BSO) is one of the major effective swarm intelligence algorithms that simulate the human brainstorming process to find optimality for optimization problems. BSO method has successfully been applied to many real-world problems. This study employs BSO method, called BSO-IP, to solve the integer programming problem. Our method… Read full abstract & cite →

Brain storm optimization integer programming problem three dimensional protein structure prediction

Abstract doi.org/10.14569/IJACSA.2021.0120896 PDF

97

Design of a Web System to Optimize the Logistics and Costing Processes of a Chocolate Manufacturing Company

Author 1: Richard Arias-Marreros Author 2: Keyla Nalvarte-Dionisio Author 3: Laberiano Andrade-Arenas

The research work is focused on the solution to a problem that a company dedicated to the manufacture of chocolates has. This company does not have a computer system to help it improve its management. The information recorded from the logistics and cost processes is stored locally in Excel files… Read full abstract & cite →

Adobe XD costing logistics scrum methodology web system

Abstract doi.org/10.14569/IJACSA.2021.0120897 PDF

98

A RED-BET Method to Improve the Information Diffusion on Social Networks

Author 1: Son N. Duong Author 2: Hanh P. Du Author 3: Cuong N. Nguyen Author 4: Hoa N. Nguyen

Information diffusion in the social network has been widely used in many fields today, from online marketing, e-government campaigns to predicting large social events. Some study focuses on how to discover a method to accelerate the parameter calculation for the information diffusion forecast in order to improve the efficiency of… Read full abstract & cite →

Information diffusion graph reduction between-ness centrality parallel computing

Abstract doi.org/10.14569/IJACSA.2021.0120898 PDF

99

A Comprehensive Study on Intrusion and Extrusion Phenomena

Author 1: Md. Abdul Hamid Author 2: Marjia Akter Author 3: M. F. Mridha Author 4: Muhammad Mostafa Monowar Author 5: Madini O. Alassafi

This paper presents a comprehensive survey on intrusion and extrusion phenomena and their existing detection and prevention techniques. Intrusion and extrusion events, breach of security system, hamper the protection of the devices or systems. Needless to say that security threats are flourishing with new level of complexity making difficulty in… Read full abstract & cite →

Intrusion extrusion intrusion detection security and survey

Abstract doi.org/10.14569/IJACSA.2021.0120899 PDF

100

Identifying Central Nodes in Directed and Weighted Networks

Author 1: Sharanjit Kaur Author 2: Ayushi Gupta Author 3: Rakhi Saxena

An issue of critical interest in complex network analysis is the identification of key players or important nodes. Centrality measures quantify the notion of importance and hence provide a mechanism to rank nodes within a network. Several centrality measures have been proposed for un-weighted, un-directed networks but applying or modifying… Read full abstract & cite →

Centrality weighted network directed network mi-gration network world input output trade network community structure

Abstract doi.org/10.14569/IJACSA.2021.01208100 PDF

101

Real Time Vehicle Detection, Tracking, and Inter-vehicle Distance Estimation based on Stereovision and Deep Learning using YOLOv3

Author 1: Omar BOURJA Author 2: Hatim DERROUZ Author 3: Hamd AIT ABDELALI Author 4: Abdelilah MAACH Author 5: Rachid OULAD HAJ THAMI Author 6: Francois BOURZEIX

In this paper, we propose a robust real-time vehicle tracking and inter-vehicle distance estimation algorithm based on stereovision. Traffic images are captured by a stereoscopic system installed on the road, and then we detect moving vehicles with the YOLO V3 Deep Neural Network algorithm. Thus, the real-time video goes through… Read full abstract & cite →

Stereovision stereo image YOLOv3 deep neural network convolutional neural network vehicle detection tracking bounding boxes distance estimation

Abstract doi.org/10.14569/IJACSA.2021.01208101 PDF

102

Blind, Secured and Robust Watermarking for 3-D Polygon Mesh using Vertex Curvature

Author 1: Priyanka Singh Author 2: K Jyothsna Devi

In this paper a blind, imperceptible, robust and secure watermarking scheme for 3-D mesh models is presented. Here, the watermark is embedded in deeper surface vertices to minimize the perceivable distortion. Deeper surface vertices are selected on the basis of their mean curvature (lesser than zero) and converted to spherical… Read full abstract & cite →

3-D mesh watermarking mean curvature radial distance spherical coordinates visual masking

Abstract doi.org/10.14569/IJACSA.2021.01208102 PDF

103

Optimized Design of a Converter Decimal to BCD Encoder and a Reversible 4-bit Controlled Up/Down Synchronous Counter

Author 1: Issam Andaloussi Author 2: Sedra Moulay Brahim Author 3: Mariam El Ghazi

The field of quantum computing, reversible logic, and nanotechnology have earned much attention from researchers in recent years due to their low power dissipation. Quantum computing has been a guiding light for nanotechnology, optical computing of information, low power CMOS design, computer science. Moreover, the dissipation of energy in the… Read full abstract & cite →

Decimal to BCD Encoder (D2BE) Reversible Bi-nary Counter Number of Gates (CG) Number of Garbage Output (NGO) Number of Constant Inputs (NCI) Quantum Cost (QC) Hardware Complexity (HC)

Abstract doi.org/10.14569/IJACSA.2021.01208103 PDF

104

Financial Stumbling Detection Model for SMEs

Author 1: Reham Nasser Farag Author 2: Nashaat Al-Wakeel Author 3: Mohamed Sameh Hassanein

Access to financing is still one of the greatest obstacles facing Small and Medium Enterprises (SMEs) all over the world and prevents them from developing. Because a large percentage of these projects fail/stumble and go bankrupt, due to failures in their financial management and assets management decisions. SMEs do not… Read full abstract & cite →

SMEs financial statements business intelligence (BI) DSR methodology financial decisions

Abstract doi.org/10.14569/IJACSA.2021.01208104 PDF