IJACSA Vol. 12 Issue 4 (2021)

1

Road Detection Method based on Online Learning

Author 1: Wenbo Wang Author 2: Yong Ma

Road detection is always the key problem of re-searches on areas of unmanned ground vehicle and computer vision. A road detection method is proposed based on online learning and multi-sensor fusion. First of all, the Lidar point clouds are projected onto the images via the joint calibration of these two… Read full abstract & cite →

Road detection data fusion unmanned ground vehicle online learning image segmentation

Abstract doi.org/10.14569/IJACSA.2021.0120401 PDF

2

Autonomous Reusing Policy Selection using Spreading Activation Model in Deep Reinforcement Learning

Author 1: Yusaku Takakuwa Author 2: Hitoshi Kono Author 3: Hiromitsu Fujii Author 4: Wen Wen Author 5: Tsuyoshi Suzuki

This paper describes a policy transfer method of a reinforcement learning agent based on the spreading activation model of cognitive psychology. This method has a prospect of increasing the possibility of policy reuse, adapting to multiple tasks, and assessing agent mechanism differences. In the existing methods, policies are evaluated and… Read full abstract & cite →

Reinforcement learning transfer learning deep learning cognitive psychology spreading activation theory

Abstract doi.org/10.14569/IJACSA.2021.0120402 PDF

3

The Adoption of Mobile Health Applications by Patients in Developing Countries: A Systematic Review

Author 1: Nasser Aljohani Author 2: Daniel Chandran

Mobile health (m-health) apps adoption in developing countries is a new research area in the healthcare industry. M-health is comparatively recent in information systems, with little attention being paid to it developing countries in the previous years. Applications of the m-health strategies in developing nations are considered one of the… Read full abstract & cite →

M-health mobile health apps adoption review developing countries

Abstract doi.org/10.14569/IJACSA.2021.0120403 PDF

4

Method for Most Appropriate Plucking Date Determination based on the Elapsed Days after Sprouting with NIR Reflection from Sentinel-2 Data

Author 1: Kohei Arai Author 2: Yoshiko Hokazono

Method for most appropriate plucking date determination based on the elapsed days after sprouting with Near Infrared: NIR reflection from Sentinel-2 data is proposed. Depending on the elapsed days after sprouting, tealeaf quality is decreasing. On the other hand, tealeaf yield is increasing with increasing of the days after sprouting… Read full abstract & cite →

Plucking date elapsed days after sprouting NIR reflection sentinel-s normalized difference vegetation index: NDVI

Abstract doi.org/10.14569/IJACSA.2021.0120404 PDF

5

Systems Security Affectation with the Implementation of Quantum Computing

Author 1: Norberto Novoa Torres Author 2: Juan Carlos Suarez Garcia Author 3: Erik Alexis Valderrama Guancha

Current security systems use cryptographic robust tools that have been of great help in regulating information. During its time the implementation of these tools abolished the classic security systems, as by means of cryptanalysis they allowed decryption of information in a fast, automated, and simple mode from these systems. Considering… Read full abstract & cite →

Quantum computing encryption cryptography cryptanalysis data security

Abstract doi.org/10.14569/IJACSA.2021.0120405 PDF

6

Energy Storage and Electric Vehicles: Technology, Operation, Challenges, and Cost-Benefit Analysis

Author 1: Surender Reddy Salkuti

With ever-increasing oil prices and concerns for the natural environment, there is a fast-growing interest in electric vehicles (EVs) and renewable energy resources (RERs), and they play an important role in a gradual transition. However, energy storage is the weak point of EVs that delays their progress. The world’s EV… Read full abstract & cite →

Energy storage electric vehicles cost-benefit analysis demand-side management renewable energy smart grid

Abstract doi.org/10.14569/IJACSA.2021.0120406 PDF

7

Detecting Unauthorized Network Intrusion based on Network Traffic using Behavior Analysis Techniques

Author 1: Nguyen Tung Lam

Nowadays, network intrusion detection is an essential problem because cyber-attacks are increasing in both the number and extent of the danger. Network intrusion techniques often use various methods to bypass the oversight of anomaly detection and surveillance systems. This paper proposes to use behavior analysis techniques, machine learning, and deep… Read full abstract & cite →

Network intrusion detection abnormal behaviors IDS 2018 dataset deep learning and machine learning

Abstract doi.org/10.14569/IJACSA.2021.0120407 PDF

8

An Integrated Implementation Framework for an Efficient Transformation to Online Education

Author 1: Ahmed Al-Hunaiyyan Author 2: Salah Al-Sharhan Author 3: Rana Alhajri Author 4: Andrew Bimba

The least developed countries have been tasked with introducing effective e-learning frameworks as they look to overcome technology inadequacies and lack of research support or vision. Ongoing efforts are reliant upon a mixed-methods approach. A systematic literature analysis and a quantitative examination have been undertaken to achieve a thorough assessment… Read full abstract & cite →

Distance learning e-learning framework COVID-19 pandemic e-learning delivery e-Content

Abstract doi.org/10.14569/IJACSA.2021.0120408 PDF

9

Development and Print of Clothing through Digitalized Designs of Natural Patterns with Flexible Filaments in 3D Printers

Author 1: Jean Roger Farfán Gavancho Author 2: Wilber Antonio Figueroa Quispe Author 3: Dayvis Victor Farfán Gavancho Author 4: Beto Puma Huamán Author 5: Victor Manuel Lima Condori Author 6: George Jhonatan Cahuana Alca

This study proposes clothing development by digitalizing natural patterns with flexible filaments in 3D printers. The motivation to carry out this research was the similarity and evenness features of fractals. For this purpose, three natural exemplars have been selected and subsequently digitized: Snowflake, Honeycomb, and Flower of Life, with line… Read full abstract & cite →

Natural pattern fractal garment digital design flexible filament 3D printing

Abstract doi.org/10.14569/IJACSA.2021.0120409 PDF

10

Smartphone-based Recognition of Human Activities using Shallow Machine Learning

Author 1: Maha Mohammed Alhumayyani Author 2: Mahmoud Mounir Author 3: Rasha Ismael

The human action recognition (HAR) attempts to classify the activities of individuals and the environment through a collection of observations. HAR research is focused on many applications, such as video surveillance, healthcare and human computer interactions. Many problems can deteriorate the performance of human recognition systems. Firstly, the development of… Read full abstract & cite →

Data preprocessing data mining classification genetic programming Naïve Bayes decision tree

Abstract doi.org/10.14569/IJACSA.2021.0120410 PDF

11

Deep Learning Approaches for Intrusion Detection in IIoT Networks – Opportunities and Future Directions

Author 1: Thavavel Vaiyapuri Author 2: Zohra Sbai Author 3: Haya Alaskar Author 4: Nourah Ali Alaseem

In recent years, the Industrial Internet of things (IIoT) is a fastest advancing innovative technology with a poten-tial to digitize and interconnect many industries for huge business opportunities and development of global GDP. IIoT is used in diverse range of industries such as manufacturing, logistics, transportation, oil and gas, mining… Read full abstract & cite →

Industrial Control System Industrial Internet of Things (IIoT) cybersecurity intrusion detection system and deep learning

Abstract doi.org/10.14569/IJACSA.2021.0120411 PDF

12

Sensing and Detection of Traffic Status through V2V Routing Hop Count and Route Energy

Author 1: Mahmoud Zaki Iskandarani

New approach to manage congestion using vehicular communication is presented in this work. The research work using MATLAB simulation, tracked communicating vehicles travelling on roads with constant registration of changes in routes, number of hops, and energy consumed as a function of travelled distances. The area of travel and simulation… Read full abstract & cite →

V2V consumed energy congestion hops VANET routing

Abstract doi.org/10.14569/IJACSA.2021.0120412 PDF

13

Annotated Corpus of Mesopotamian-Iraqi Dialect for Sentiment Analysis in Social Media

Author 1: Al-Khafaji Ali J Askar Author 2: Nilam Nur Amir Sjarif

Research on Sentiment Analysis in social media by using Mesopotamian-Iraqi Dialect (MID) of Arabic language was rarely found, there is no reliable dataset developed in MID neither an annotated corpus for the sentiment analysis of social media in this dialect. Therefore, this gap was the main stumbling block for researchers… Read full abstract & cite →

Sentiment analysis Mesopotamian dialect Iraqi dialect social media annotated corpus emotion classification Arabic language

Abstract doi.org/10.14569/IJACSA.2021.0120413 PDF

14

Exploring Parkinson’s Disease Predictors based on Basic Intelligence Quotient and Executive Intelligence Quotient

Author 1: Haewon Byeon

It is important to identify the risk factors of dementia and prevent them for the health of patients and caregivers. This study (1) explored sampling methods that could minimize overfitting due to data imbalance using a data-level approach, (2) developed nine ensemble learning models for predicting Parkinson's Disease–Mild Cognitive Impairment… Read full abstract & cite →

Undersampling oversampling SMOTE random forest Parkinson's disease–mild cognitive impairment

Abstract doi.org/10.14569/IJACSA.2021.0120414 PDF

15

Is Deep Learning Better than Machine Learning to Predict Benign Laryngeal Disorders?

Author 1: Haewon Byeon

It is important in otolaryngology to accurately understand the etiology of a laryngeal disorder, diagnose it early, and provide appropriate treatment accordingly. The objectives of this study were to develop models for predicting benign laryngeal mucosal disorders based on deep learning, naive Bayes model, generalized linear model, a Classification and… Read full abstract & cite →

Benign laryngeal mucosal disorder voice disorder deep learning Naive Bayes model generalized linear model

Abstract doi.org/10.14569/IJACSA.2021.0120415 PDF

16

Distance Education during COVID-19 Pandemic: The Perceptions and Preference of University Students in Malaysia Towards Online Learning

Author 1: Husna Hafiza Razami Author 2: Roslina Ibrahim

The sudden shift from the brick-and-mortar approach to online distance learning due to the coronavirus pandemic greatly impacted everyone involved, particularly students. Hence, it is critical to identify the perception of students regarding the challenges they faced, their satisfaction with remote learning, as well as their preferences and recommendations for… Read full abstract & cite →

COVID distance learning education online learning student perception preference

Abstract doi.org/10.14569/IJACSA.2021.0120416 PDF

17

VG4 Cipher: Digital Image Encryption Standard

Author 1: Akhil Kaushik Author 2: Vikas Thada

When it comes to providing security to information systems, encryption emerges as an indispensable tool, as it has been used extensively in the past few decades for securing stationary data as well as data in motion. With the rapid data transmission techniques and multimedia options available for data representation, the… Read full abstract & cite →

DNA cryptography cipher information security encryption decryption

Abstract doi.org/10.14569/IJACSA.2021.0120417 PDF

18

Formulation of Association Rule Mining (ARM) for an Effective Cyber Attack Attribution in Cyber Threat Intelligence (CTI)

Author 1: Md Sahrom Abu Author 2: Siti Rahayu Selamat Author 3: Robiah Yusof Author 4: Aswami Ariffin

In recent year, an adversary has improved their Tactic, Technique and Procedure (TTPs) in launching cyberattack that make it less predictable, more persistent, resourceful and better funded. So many organisation has opted to use Cyber Threat Intelligence (CTI) in their security posture in attributing cyberattack effectively. However, to fully leverage… Read full abstract & cite →

Cyber threat intelligence (CTI) association rule mining apriori algorithm attribution interestingness measures

Abstract doi.org/10.14569/IJACSA.2021.0120418 PDF

19

Integrated Pairwise Testing based Genetic Algorithm for Test Optimization

Author 1: Baswaraju Swathi Author 2: Harshvardhan Tiwari

Generation of Test cases in software testing is an important and a complex activity as it deals with diversified range of inputs. Fundamentally, test case generation is considered to be a multi-objective problem as it aims to cover many targets. Deriving test cases for the Web Applications has become critical… Read full abstract & cite →

Test case generation genetic algorithm multi objective optimization pairwise testing test optimization fitness value

Abstract doi.org/10.14569/IJACSA.2021.0120419 PDF

20

Iterative Decoding of Chase Pyndiah Decoder Utilizing Multiple Relays Network

Author 1: Saif E. A. Alnawayseh

In this paper, a distributed Encoding and decoding of Turbo Product Code (TPC) over single and multiple relays network are proposed. The information message matrix is encoded at source by Bose Chaudhuri Hochquenghem (BCH) as component code and transmitted to destination and relays in the midway between source and destination… Read full abstract & cite →

Turbo product code (TPC) modified iterative chase Pyndiah decoding algorithm relay source Bit Error Rate (BER) vertical parities horizontal parities

Abstract doi.org/10.14569/IJACSA.2021.0120420 PDF

21

An Efficient Privacy Preserving Approach for e-Health

Author 1: Supriya Menon M Author 2: Rajarajeswari Pothuraju

Immense Procreation of large amounts of data in medical field and health care domain, benefitting society is at risk with sensitive attributes being disclosed. Access to Medical Information made feasible over internet with an intension of serving the people related to medical community is triggering a challenge for researchers in… Read full abstract & cite →

e-Health Attribute Based Encryption (ABE) secure hash algorithm (SHA-1) anonymity privacy sensitive parameters

Abstract doi.org/10.14569/IJACSA.2021.0120421 PDF

22

Indonesian Speech Emotion Recognition using Cross-Corpus Method with the Combination of MFCC and Teager Energy Features

Author 1: Oscar Utomo Kumala Author 2: Amalia Zahra

Emotion recognition is one of the widely studied topics in speech technology. Emotions that come from speech can contain useful information for many purposes. The main aspects in speech emotion recognition are speech features, speech corpus, and machine learning algorithms as the classifier method. In this paper, cross-corpus method is… Read full abstract & cite →

Cross corpus Indonesian speech emotion recognition Mel Frequency Cepstral Coefficients Teager Energy

Abstract doi.org/10.14569/IJACSA.2021.0120422 PDF

23

NetAI-Gym: Customized Environment for Network to Evaluate Agent Algorithm using Reinforcement Learning in Open-AI Gym Platform

Author 1: Varshini Vidyadhar Author 2: Nagaraj R Author 3: D V Ashoka

The growing size of the network imposes computational overhead during network route establishment using conventional approaches of the routing protocol. The alternate approach in contrast to the route table updating mechanism is the rule-based method, but this also provides a limited scope in the dynamic networks. Therefore, reinforcement learning promises… Read full abstract & cite →

Open-AI Gym network environment agent reinforcement learning

Abstract doi.org/10.14569/IJACSA.2021.0120423 PDF

24

Service Outages Prediction through Logs and Tickets Analysis

Author 1: Sunita A Yadwad Author 2: V. Valli Kumari Author 3: S Venkata Lakshmi

Service outage or downtime is a growing challenge to the service providers and end users. The major cause for the unavailability firstly is failure of equipments and applications at various places and secondly failure for proactive diagnosis and rectification. The system activities that are logged and the response of customers… Read full abstract & cite →

Failure prediction linear regression technique network fault prediction lasso ridge regression Bayesian structural time series prophet

Abstract doi.org/10.14569/IJACSA.2021.0120424 PDF

25

Recent Themes of Colombian Scientific Engineering Journals in Scopus

Author 1: Marco Aguilera-Prado Author 2: Octavio José Salcedo Parra Author 3: Eduardo Avendaño Fernández

Through a co-occurrence bibliometric and citation analysis of 1.272 texts published in the four Colombian engineering journals available in Scopus between 2014 and 2018, this paper identified that most articles belong to supply chain optimization and logistics and involve work with information that requires minimal laboratory experimentation. Works applying artificial… Read full abstract & cite →

Co-occurrence words bibliometric analysis bibliometrics Colombian journals

Abstract doi.org/10.14569/IJACSA.2021.0120425 PDF

26

Book Recommendation for Library Automation Use in School Libraries by Multi Features of Support Vector Machine

Author 1: Kitti Puritat Author 2: Phichete Julrode Author 3: Pakinee Ariya Author 4: Sumalee Sangamuang Author 5: Kannikar Intawong

This paper proposed the algorithms of book recommendation for the open source of library automation by using machine learning method of support vector machine. The algorithms consist of using multiple features (1) similarity measures for book title (2) The DDC for systematic arrangement combination of Association Rule Mining (3) similarity… Read full abstract & cite →

Library automation book recommendation system library integrated system title similarity support vector machine open source

Abstract doi.org/10.14569/IJACSA.2021.0120426 PDF

27

Econometric Analysis of Stock Market Performance during COVID-19 Pandemic: A Case Study of Uzbekistan Stock Market

Author 1: Mansur Eshov Author 2: Walid Osamy Author 3: Ahmed Aziz Author 4: Ahmed M. Khedr

This article highlights the impact of the Coronavirus disease (COVID-19). COVID-19 pandemic on the stock market of Uzbekistan on the basis of empirical research and the main factors affecting the stock market are identified as well. Secondary statistical data were collected from the Tashkent Stock Exchange, the Central Bank of… Read full abstract & cite →

Stock market factors SEM-model COVID-19 global economy

Abstract doi.org/10.14569/IJACSA.2021.0120427 PDF

28

Deep Learning based Anomaly Detection in Images: Insights, Challenges and Recommendations

Author 1: Ahad Alloqmani Author 2: Yoosef B. Abushark Author 3: Asif Irshad Khan Author 4: Fawaz Alsolami

Deep learning-based anomaly detection in images has recently been considered a popular research area with numerous applications worldwide. The main aim of anomaly detection (i.e., Outlier detection), is to identify data instances that deviate considerably from the majority of data instances. This paper offers a comprehensive analysis of previous works… Read full abstract & cite →

Anomaly detection outlier detection deep learning

Abstract doi.org/10.14569/IJACSA.2021.0120428 PDF

29

The Evaluation of User Experience Testing for Retrieval-based Model and Deep Learning Conversational Agent

Author 1: Pui Huang Leong Author 2: Ong Sing Goh Author 3: Yogan Jaya Kumar Author 4: Yet Huat Sam Author 5: Cheng Weng Fong

The use of a conversational agent to relay information on behalf of individuals has gained worldwide acceptance. The conversational agent in this study was developed using Retrieval-based Model and Deep Learning to enhance the user experience. Nevertheless, the successfulness of the conversational agent could only be determined upon the evaluation… Read full abstract & cite →

Conversational agent retrieval-based model deep learning user experience testing usability usefulness satisfaction

Abstract doi.org/10.14569/IJACSA.2021.0120429 PDF

30

Survey of Tools and Techniques for Sentiment Analysis of Social Networking Data

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

Social media has rapidly expanded over a period of time and generated a huge repository of content. Sentiment analysis of this data has a vast scope in decision support and attracted many researchers to explore various possibilities for technique enhancement and accuracy improvement. Twitter is one of the social media… Read full abstract & cite →

Social networking sites sentiment analysis twitter sentiment analysis opinion mining ensemble classifier stack based ensemble

Abstract doi.org/10.14569/IJACSA.2021.0120430 PDF

31

Efficient Security Model for RDF Files Used in IoT Applications

Author 1: Mohamed El kholy Author 2: Abdel baes Mohamed

The openness environment of IoT ecosystem arises several security and privacy issues. However, the huge amount of data produced by several IoT devices restricts using traditional security methods. Another security challenge for IoT system is the interoperability between heterogeneous IoT devices. Semantic Web has risen as a promising technology that… Read full abstract & cite →

Semantic Web Internet of Things (IoT) resource description framework (RDF) smart cities security mechanism web ontology language (OWL) partial encryption SPARQL protocol and RDF query language (SPARQL) data encryption standard (DES) component

Abstract doi.org/10.14569/IJACSA.2021.0120431 PDF

32

Predictive Analysis of Ransomware Attacks using Context-aware AI in IoT Systems

Author 1: Vytarani Mathane Author 2: P.V. Lakshmi

Ransomware attacks are emerging as a major source of malware intrusion in recent times. While so far ransomware has affected general-purpose adequately resourceful computing systems, there is a visible shift towards low-cost Internet of Things systems which tend to manage critical endpoints in industrial systems. Many ransomware prediction techniques are… Read full abstract & cite →

Ransomware IoT context-aware machine learning ontology

Abstract doi.org/10.14569/IJACSA.2021.0120432 PDF

33

Contribution to the Improvement of Cryptographic Protection Methods for Medical Images in DICOM Format through a Combination of Encryption Method

Author 1: Maka Maka Ebenezer Author 2: Pauné Félix Author 3: Malong Yannick Author 4: Simo Ntso Pascal Junior Author 5: Nnemé Nnemé Léandre

This paper proposes a method for storing and securing medical images in DICOM format. Other methods offered affect the quality of the image. The solution proposed here is based on the AES256 algorithm in Galois/Counter Mode (GCM) which already integrates authentication and signature processes to ensure the integrity of the… Read full abstract & cite →

Medical images DICOM advanced encryption standard (AES) GCM authentication

Abstract doi.org/10.14569/IJACSA.2021.0120433 PDF

34

Birds Identification System using Deep Learning

Author 1: Suleyman A. Al-Showarah Author 2: Sohyb T. Al-qbailat

Identifying birds is one of challenging role for bird watchers due to the similarity of the birds’ forms/image background and the lack of experience for watchers. So, it needs a computer system based images to help birdwatchers in order to identify birds. This study aims at investigating the use of… Read full abstract & cite →

Birds identification deep learning convolutional neural networks (CNN) VGG-19 principal component analysis (PCA)

Abstract doi.org/10.14569/IJACSA.2021.0120434 PDF

35

Feature Engineering Algorithms for Traffic Dataset

Author 1: Akibu Mahmoud Abdullah Author 2: Raja Sher Afgun Usmani Author 3: Thulasyammal Ramiah Pillai Author 4: Ibrahim Abaker Targio Hashem Author 5: Mohsen Marjani

As a result of an increase in the human popula-tion globally, traffic congestion in the urban area is becoming worse, which leads to time-consuming, waste of fuel, and, most importantly, the emission of pollutants. Therefore, there is a need to monitor and estimate traffic density. The emergence of an automatic… Read full abstract & cite →

Feature engineering algorithm queuing theory Road Traffic Volume Malaysia (RTVM) machine learning algo-rithms

Abstract doi.org/10.14569/IJACSA.2021.0120435 PDF

36

PlexNet: An Ensemble of Deep Neural Networks for Biometric Template Protection

Author 1: Ashutosh Singh Author 2: Ranjeet Srivastva Author 3: Yogendra Narain Singh

The security of biometric systems, especially pro-tecting the templates stored in the gallery database, is a primary concern for researchers. This paper presents a novel framework using an ensemble of deep neural networks to protect biometric features stored as a template. The proposed ensemble chooses two state-of-the-art CNN architectures i.e… Read full abstract & cite →

Biometrics template protection deep learning transfer learning ensemble

Abstract doi.org/10.14569/IJACSA.2021.0120436 PDF

37

A Multi-layer Machine Learning-based Intrusion Detection System for Wireless Sensor Networks

Author 1: Nada M. Alruhaily Author 2: Dina M. Ibrahim

With the increase relay on the internet, and the shift of most business to provide remote services, the burdens of protecting the network and detecting any attack quickly become more significant, as the attack surface and Cyberattack increases in return. Most current Wireless Sensor Networks (WSNs) intrusion detection models that… Read full abstract & cite →

Intrusion detection wireless sensor networks ma-chine learning defence in depth strategy

Abstract doi.org/10.14569/IJACSA.2021.0120437 PDF

38

ParaDist-HMM: A Parallel Distributed Implementation of Hidden Markov Model for Big Data Analytics using Spark

Author 1: Imad Sassi Author 2: Samir Anter Author 3: Abdelkrim Bekkhoucha

Big Data is an extremely massive amount of hetero-geneous and multisource data which often requires fast processing and real time analysis. Solving big data analytics problems needs powerful platforms to handle this enormous mass of data and efficient machine learning algorithms to allow the use of big data full potential… Read full abstract & cite →

Big data machine learning Hidden Markov model forward backward baum-welch parallel distributed computing spark cloud computing ParaDist-HMM

Abstract doi.org/10.14569/IJACSA.2021.0120438 PDF

39

Performance Assessment of Context-aware Online Learning for Task Offloading in Vehicular Edge Computing Systems

Author 1: Mutaz A. B. Al-Tarawneh Author 2: Saif E. Alnawayseh

Vehicular Edge Computing (VEC) systems have recently become an essential computing infrastructure to support a plethora of applications entailed by smart and connected vehicles. These systems integrate the computing resources of edge and cloud servers and utilize them to execute computational tasks offloaded from various vehicular applications. However, the highly… Read full abstract & cite →

Vehicular edge computing task offloading multi-armed bandits contextual bandits

Abstract doi.org/10.14569/IJACSA.2021.0120439 PDF

40

Body Weight Estimation using 2D Body Image

Author 1: Rohan Soneja Author 2: Prashanth S Author 3: R Aarthi

Two dimensional images of a person implicitly contain several useful biometric information such as gender, iris colour, weight, etc. Among them, body weight is a useful metric for a number of usecases such as forensics, fitness and health analysis, airport dynamic luggage allowance, etc. Most current solutions for body weight… Read full abstract & cite →

Body weight estimation deep learning xgboost regressor anthropometric features computer vision

Abstract doi.org/10.14569/IJACSA.2021.0120440 PDF

41

A Detailed Study on the Choice of Hyperparameters for Transfer Learning in Covid-19 Image Datasets using Bayesian Optimization

Author 1: Miguel Miranda Author 2: Kid Valeriano Author 3: Jos´e Sulla-Torres

For many years, the area of health care has evolved, mainly using medical images to detect and evaluate diseases. Nowadays, the world is going through a pandemic due to COVID- 19, causing a severe effect on the health system and the global economy. Researchers, both in health and in different… Read full abstract & cite →

Transfer Learning COVID-19 X-ray image deep learning Bayes optimization machine learning hyperparameter optimization

Abstract doi.org/10.14569/IJACSA.2021.0120441 PDF

42

Impact of Deep Learning on Localizing and Recognizing Handwritten Text in Lecture Videos

Author 1: Lakshmi Haritha Medida Author 2: Kasarapu Ramani

Now-a-days, the video recording technologies have turned out to be more and more forceful and easier to utilize. Therefore, numerous universities are recording and publishing their lectures online in order to make them reachable for learners or students. These lecture videos encapsulate the handwritten text written either on a paper… Read full abstract & cite →

Lecture video text localization segmentation word recognition deep convolutional neural network (DCNN)

Abstract doi.org/10.14569/IJACSA.2021.0120442 PDF

43

A Vehicle Routing Problem for the Collection of Medical Samples at Home: Case Study of Morocco

Author 1: Ettazi Haitam Author 2: Rafalia Najat Author 3: Jaafar Abouchabaka

This paper aims to solve the problem of sampling and collecting blood and/ or urine tubes from sick people at home via a medical staff (nurse/ caregiver) to the laboratory in an optimal way. To ensure good management, several constraints must be taken into account, namely: staff schedules, patient preferences… Read full abstract & cite →

Optimization metaheuristics vehicle routing problem allocation and planning home care

Abstract doi.org/10.14569/IJACSA.2021.0120443 PDF

44

A Computer-Assisted Collaborative Reading Model to Improve Reading Fluency of EFL Learners in Continuous Learning Programs in Saudi Universities

Author 1: Abdulfattah Omar Author 2: Mohamed Saad Mahmoud Hussein Author 3: Fahd Shehail Alalwi

Reading is not synonymous to comprehension; rather it is a prerequisite that doesn’t, by itself, guarantee comprehension. This is to say that being efficient in decoding letters, syllables and whole words and recognizing vocabulary does not ensure natural r automatic comprehension. Fluency seems to be the bridge between the mastery… Read full abstract & cite →

Collaborative reading model computer-assisted language learning (CALL) computer-based instruction EFL learners fluency Saudi Universities struggling readers

Abstract doi.org/10.14569/IJACSA.2021.0120444 PDF

45

Optimal Allocation of DG and D-STATCOM in a Distribution System using Evolutionary based Bat Algorithm

Author 1: Surender Reddy Salkuti

In this work, a methodology to find the optimal allocation (i.e., sizing and location) of Distributed Generators (DGs) and Distribution-static compensators (D-STATCOM) in a radial distribution system (RDS) is proposed. Here, the voltage stability index (VSI) is utilized to find the optimal location for the D-STATCOM, and loss sensitivity factor… Read full abstract & cite →

Bat algorithm distributed generation voltage stability index loss sensitivity optimal location and size radial distribution system

Abstract doi.org/10.14569/IJACSA.2021.0120445 PDF

46

Analysis of Load Variation Consideration for Optimal Distributed Generation Placement

Author 1: Aida Fazliana Abdul Kadir Author 2: Mohamad Fani Sulaima Author 3: Noor Ropidah Bujal Author 4: Mohd Nazri Bin Abd Halim Author 5: Elia Erwani Hassan

Distributed generation (DG) devices offered usefully for power losses minimization, grid reinforcement, bus voltages improvement and efficiency of a distribution system. Usually, the DG placement problem considers the predefined DG number and sizes that might result in many small DGs. However, a better solution could be reached with a minimum… Read full abstract & cite →

Distribution generation optimization techniques IGSA losses minimization optimal placement and sizing

Abstract doi.org/10.14569/IJACSA.2021.0120446 PDF

47

Resource Utilization Prediction in Cloud Computing using Hybrid Model

Author 1: Anupama K C Author 2: Shivakumar B R Author 3: Nagaraja R

In cloud environment, maximum utilization of resource is possible with good resource management strategies. Workload prediction plays a vital role in estimating the actual resource required for successful execution of an application on cloud. Most of the existing works concentrated on predicting workloads which either showed clear seasonality/trend or for… Read full abstract & cite →

Workload prediction SARIMA LSTM ARIMA cloud service provider

Abstract doi.org/10.14569/IJACSA.2021.0120447 PDF

48

An Experiment for Outdoor GPS Localization Enhancement using Kalman Filter with Multiantenna Consumer-Grade Sensors

Author 1: Phudinan Singkhamfu Author 2: Parinya Suwansrikham

Consumer-Grade global positioning system (GPS) is widely used in many domains. The obvious issue of this consumer-grade device is low accuracy and reading fluctuation results. In terms of using an application that requires a more precise location, the output could be difficult. In this study, the authors deploy various methods… Read full abstract & cite →

Global positioning systems accuracy kalman multi global positioning systems global positioning systems pointer global positioning systems enhance filtering algorithm

Abstract doi.org/10.14569/IJACSA.2021.0120448 PDF

49

Artificial Intelligence Model based on Grey Clustering for Integral Analysis of Industrial Hygiene Risk

Author 1: Alexi Delgado Author 2: Diana Aliaga Author 3: Cristian Carlos Author 4: Lisseth Vergaray Author 5: Chiara Carbajal

The article proposes a model with an artificial intelligence approach that integrates risks through the Grey Clustering method applying the "Triangulation of center-point based on Whitening functions -CTWF", for this, the data established is standard data (minimum standards that the four workshops of a company in the industrial sector must… Read full abstract & cite →

Artificial intelligence grey clustering industrial hygiene lighting noise

Abstract doi.org/10.14569/IJACSA.2021.0120449 PDF

50

Intelligent Traffic Light Controller using Fuzzy Logic and Image Processing

Author 1: Abdelkader Chabchoub Author 2: Ali Hamouda Author 3: Saleh Al-Ahmadi Author 4: Adnen Cherif

Today's traffic congestion in the big city is a serious problem, as it causes a lot of environmental pollution and difficulty in transportation, which leads to difficult daily life for the human beings in addition to material losses. In this work a smart traffic light controller was designed using fuzzy… Read full abstract & cite →

Traffic congestion smart city traffic light fuzzy logic image processing objects detections

Abstract doi.org/10.14569/IJACSA.2021.0120450 PDF

51

Private LTE Network Service Management Model, based on Agile Methodologies, for Big Mining Companies

Author 1: José Valdivia-Bedregal Author 2: Norka Bedregal-Alpaca Author 3: Elisa Castañeda-Huaman

Information technology (IT) services must generate added value for any business, either by enhancing its processes, automating its activities, or managing its resources. Using Long Term Evolution (LTE) Networks, IoT solutions and devices are able to be deployed in order to prevent safety incidents and or to online monitor performance… Read full abstract & cite →

IT service management agile methodology ITIL expert judgment LTE network

Abstract doi.org/10.14569/IJACSA.2021.0120451 PDF

52

Speeding up Natural Language Text Search using Compression

Author 1: Majed AbuSafiya

Text search is a well-known problem in computer science where the valid shifts of a pattern P in a text string T are found. This paper shows how to speed up text search by searching for P in a compressed version of T. A fast compression algorithm was designed for… Read full abstract & cite →

Text compression text search unicode

Abstract doi.org/10.14569/IJACSA.2021.0120452 PDF

53

Developing an IoT Platform for the Elderly Health Care

Author 1: Medhat Awadalla Author 2: Firdous Kausar Author 3: Razzaqul Ahshan

The health care of elderly people addresses the necessity for services that utilize recent technologies and devices. Now-a-days, both loneliness and psychological depressions are typical problems which elderly people face because of living alone/abandoned or reduced communication with their children and relatives. This paper presents the development of an integrated… Read full abstract & cite →

Internet of things healthcare sensor network real-time monitoring wearable sensors wireless sensor networks

Abstract doi.org/10.14569/IJACSA.2021.0120453 PDF

54

Study and Analysis for the Choice of Optical Fiber in the Implementation of High-Capacity Backbones in Data Transmission

Author 1: Wilmer Vergaray-Mendez Author 2: Brian Meneses-Claudio Author 3: Alexi Delgado

Fiber optic implementation projects for backbones today have become a necessity, where in many cases failures due to cable stress breaks have been reported. Due to this, it is necessary to carry out a study and analysis of the zone and area prior to implementation. In this research work, through… Read full abstract & cite →

Mechanical loads electric fields backbones optical fiber data transmission

Abstract doi.org/10.14569/IJACSA.2021.0120454 PDF

55

On State-of-the-art of POS Tagger, ‘Sandhi’ Splitter, ‘Alankaar’ Finder and ‘Samaas’ Finder for Indo-Aryan and Dravidian Languages

Author 1: Hema Gaikwad Author 2: Jatinderkumar R. Saini

Computational Linguistic refers to the development of the computer systems that deal with human languages. In this paper, different Computational Linguistic Techniques such as Parts of Speech (POS) tagger, ‘Sandhi’ Splitter, ‘Alankaar’ Finder and ‘Samaas’ Finder were considered. After a thorough literature review, it was found that fifteen techniques were… Read full abstract & cite →

‘Alankaar’ ‘samaas’ ‘sandhi’ parts of speech tagger (POST)

Abstract doi.org/10.14569/IJACSA.2021.0120455 PDF

56

The Development of Students’ Spatial Orientation through the use of 3D Graphics

Author 1: Benjamín Maraza-Quispe

The purpose of this research is to determine to what extent the use of 3D graphics in the educational process improves the spatial orientation skills of secondary school students. The research follows a qualitative approach of experimental type, the population is constituted by 300 students of Secondary Education of which… Read full abstract & cite →

Orientation reasoning spatial technology 3D graphics education processes educational

Abstract doi.org/10.14569/IJACSA.2021.0120456 PDF

57

Symptoms-Based Fuzzy-Logic Approach for COVID-19 Diagnosis

Author 1: Maad Shatnawi Author 2: Anas Shatnawi Author 3: Zakarea AlShara Author 4: Ghaith Husari

The coronavirus (COVID-19) pandemic has caused severe adverse effects on the human life and the global economy affecting all communities and individuals due to its rapid spreading, increase in the number of affected cases and creating severe health issues and death cases worldwide. Since no particular treatment has been acknowledged… Read full abstract & cite →

COVID-19 coronavirus diagnosis fuzzy inference system fuzzy logic fuzzy rules expert systems

Abstract doi.org/10.14569/IJACSA.2021.0120457 PDF

58

An Optimization Approach for Multiple Sequence Alignment using Divide-Conquer and Genetic Algorithm

Author 1: Arunima Mishra Author 2: Sudhir Singh Soam Author 3: Bipin Kumar Tripathi

Multiple Sequence Alignment (MSA) is a very effective tool in bioinformatics. It is used for the prediction of the structure and function of the protein, locating DNA regulatory elements like binding sites, and evolutionary analysis. This research paper proposed an optimization method for the improvement of multiple sequence alignment generated… Read full abstract & cite →

Multiple sequence alignment divide and conquer genetic algorithm optimization method

Abstract doi.org/10.14569/IJACSA.2021.0120458 PDF

59

Proposed Design of White Sugar Industrial Supply Chain System based on Blockchain Technology

Author 1: Ratna Ekawati Author 2: Yandra Arkeman Author 3: Suprihatin Author 4: Titi Candra Sunarti

The white crystal sugar agro-industry is an industry with dynamic characteristics characterized by a sustainable relationship between actors ranging from farmers to consumers. An inefficient supply chain system will affect the flow of products, information, and finance because many actors are involved and have influence. Hence, complicating the system in… Read full abstract & cite →

Blockchain technology supply chain white crystal sugar

Abstract doi.org/10.14569/IJACSA.2021.0120459 PDF

60

Fraud Detection in Shipping Industry using K-NN Algorithm

Author 1: Ganesan Subramaniam Author 2: Moamin A. Mahmoud

The shipment industry is going through tremendous growth in volume thanks to technological innovation in e-commerce and global trade liberalization. Volume growth also means a rise in fraud cases involving smuggling and false declaration of shipments. Shipping companies and customs are mostly relying on routine random inspection thus finding fraud… Read full abstract & cite →

Fraud detection shipping industry k-nn algorithm

Abstract doi.org/10.14569/IJACSA.2021.0120460 PDF

61

Generating Test Cases using Eclipse Environment – A Case Study of Mobile Application

Author 1: Rosziati Ibrahim Author 2: Nurul Ain Aswini Abdul Jan Author 3: Sapiee Jamel Author 4: Jahari Abdul Wahab

In Software Development Life Cycle (SDLC), there are four phases involved. They are analysis, design, implement and testing. Testing is done to ensure the functionalities of the system are correct. There are many approaches to software testing. It is usually divided into two approaches: manual testing or automatic testing. However… Read full abstract & cite →

Software testing automation testing test cases Eclipse Environment

Abstract doi.org/10.14569/IJACSA.2021.0120461 PDF

62

Traffic Accidents Detection using Geographic Information Systems (GIS)

Author 1: Wesam Alkhadour Author 2: Jamal Zraqou Author 3: Adnan Al-Helali Author 4: Sajeda Al-Ghananeem

The mission of reducing the number and severity of traffic accidents becomes the dominant target of road traffic safety management worldwide. The main objective of this work is to analyze traffic accidents in temporal and spatial frameworks in the capital city Amman and identify hotspot zones in the study area… Read full abstract & cite →

Geographic Information System (GIS) statistical tools hotspots spatial analysis temporal analysis road safety traffic accidents spatial correlation

Abstract doi.org/10.14569/IJACSA.2021.0120462 PDF

63

An Agent-Based Evaluation Model of Students' Emotional Engagement in Classroom

Author 1: Moamin A. Mahmoud Author 2: Latha Subramainan Author 3: Ihab L Hussein Alsammak Author 4: Mahmood H. Hussein

This study proposes an agent-based evaluation model of students’ emotional engagement in a classroom. The proposed model consists of four main elements in a classroom which are, the selected strategy to control engagement, the engagement level of students, the emotional state of a lecturer, and the emotional states of students… Read full abstract & cite →

Students’ emotional engagement agent-based evaluation computational model

Abstract doi.org/10.14569/IJACSA.2021.0120463 PDF

64

Wireless Body Area Sensor Networks for Wearable Health Monitoring: Technology Trends and Future Research Opportunities

Author 1: Malek ALRASHIDI Author 2: Nejah NASRI

Today, there is an emerging interest in Wireless Body Area Sensor Networks (WBASNs) for the real-time monitoring of patients and early chronic disease detection. In this context, this paper presents a synopsis survey of healthcare monitoring via the IEEE 802.15.6 (UWB) protocol. We intend to propose a survey of the… Read full abstract & cite →

Healthcare physiological signals security UWB wireless technologies WBASN

Abstract doi.org/10.14569/IJACSA.2021.0120464 PDF

65

A-SA SOS: A Mobile- and IoT-based Pre-hospital Emergency Service for the Elderly and Village Health Volunteers

Author 1: Kannikar Intawong Author 2: Waraporn Boonchieng Author 3: Peerasak Lerttrakarnnon Author 4: Ekkarat Boonchieng Author 5: Kitti Puritat

In Thailand, emergency illnesses are life-threatening conditions that constitute serious health problems and quick access to definitive care can improve the survival rate of the elderly dramatically. Currently, the pre-hospital emergency medical services have limitations which prevent the treatment from getting to the accident site on time. In this research… Read full abstract & cite →

Pre–hospital emergency service mobile healthcare IoT-based healthcare system elderly healthcare volunteer

Abstract doi.org/10.14569/IJACSA.2021.0120465 PDF

66

An Effective Approach for Detecting Diabetes using Deep Learning Techniques based on Convolutional LSTM Networks

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

The most common disorder affecting millions of population worldwide due to insufficient release of insulin by pancreas is diabetes. Early detection or precaution of diabetes is necessary, otherwise leads to many complicated problems. Predicting diabetes at early stages with appropriate treatment, individuals can maintain a happy life. If the conventional… Read full abstract & cite →

Convolutional long short-term memory diabetes prediction machine learning pre-processing

Abstract doi.org/10.14569/IJACSA.2021.0120466 PDF

67

Identification of Babbitt Damage and Excessive Clearance in Journal Bearings through an Intelligent Recognition Approach

Author 1: Joel Pino Gómez Author 2: Fidel E. Hernández Montero Author 3: Julio C. Gómez Mancilla Author 4: Yenny Villuendas Rey

Journal bearings play an important role on many rotating machines placed on industrial environments, especially in steam turbines of thermoelectric power plants. Babbitt damage (BD) and excessive clearance (C) are usual faults of steam turbine journal bearings. This paper is focused on achieving an effective identification of these faults through… Read full abstract & cite →

Journal bearing babbitt damage excessive clearance fault identification feature selection supervised classification

Abstract doi.org/10.14569/IJACSA.2021.0120467 PDF

68

An Empirical Investigation of the Relationship Between Business Process Transparency and Business Process Attack

Author 1: Alhanouf Aldayel Author 2: Ahmad Alturki

Business Process Management (BPM) is a management approach to discover, analyze, redesign, execute and monitor business processes. Implementing BPM concepts help and benefit organizations by increasing their productivity, achieving their strategies and operational excellence, and saving costs. Rosemann et al. identify business process transparency as one of the key values… Read full abstract & cite →

Business Process Management (BPM) business process transparency business process attack fraud

Abstract doi.org/10.14569/IJACSA.2021.0120468 PDF

69

A Tree-profile Shape Ultra Wide Band Antenna for Chipless RFID Tags

Author 1: A K M Zakir Hossain Author 2: Nurulhalim Bin Hassim Author 3: Jamil Abedalrahim Jamil Alsayaydeh Author 4: Mohammad Kamrul Hasan Author 5: Md. Rafiqul Islam

In this article, a new small size planar microstrip tree profile shaped Ultra-Wide Band (UWB) antenna with partial ground plane has been presented. The antenna is designed for chipless RFID tags that are working in UWB region. The operating frequency of the antenna is between 2.72 GHz to 11.1 GHz… Read full abstract & cite →

Planar microstrip UWB antenna chipless RFID realized gain total efficiency

Abstract doi.org/10.14569/IJACSA.2021.0120469 PDF

70

Non-Hodgkin Type Lymphoma Cancer Cell Detection using Connected Components Labeling and Moments of Image

Author 1: Monirul Islam Pavel Author 2: Mohsinul Bari Shakir Author 3: Dewan Ahmed Muhtasim Author 4: Omar Faruk

Cancers are one of the deadliest diseases with a costly treatment system in the world at present. In this paper a cost-effective, autonomous system of cancer-cell detection was proposed using several efficient image processing methods to develop an early stage non-Hodgkin type lymphoma which is a type of blood cancer… Read full abstract & cite →

Non-hodgking lymphoma moment of image connected components labeling otsu thresholding

Abstract doi.org/10.14569/IJACSA.2021.0120470 PDF

71

Grey Clustering Method for Water Quality Assessment to Determine the Impact of Mining Company, Peru

Author 1: Alexi Delgado Author 2: Jhoel Andy Gauna Achata Author 3: Jorge Alfredo Barreda Valdivia Author 4: Julio Cesar Junior Santivañez Montes Author 5: Chiara Carbajal

Mining operations have a significant impact on environment, where the quality of water is an important affected issue that need to be controlled. In that way, the Grey Clustering Method based on center-point triangular whitenization weight (CTWF), is an artificial intelligence criterion that evaluates water samples according to selected parameters… Read full abstract & cite →

Grey clustering method mining company water quality artificial intelligence

Abstract doi.org/10.14569/IJACSA.2021.0120471 PDF

72

Analysis of Speech Signal Data of Mising Vowels using Logistic Regression and K-Means Clustering

Author 1: Ujjal Saikia Author 2: Jiten Hazarika

In this paper, an attempt has been made to study and analyze speech signal data. Here, the sound or speech data has different attributes like time, pitch, formant frequencies, speaker type, Vowel No etc. The dataset used here is speech signal data which are analog in nature and has been… Read full abstract & cite →

Clustering methods formant frequency logit model pitch stype

Abstract doi.org/10.14569/IJACSA.2021.0120472 PDF

73

Hybrid SFLA-UBS Algorithm for Optimal Resource Provisioning with Cost Management in Multi-cloud Computing

Author 1: Muhammad Iftikhar Hussain Author 2: JingSha He Author 3: Nafei Zhu Author 4: Fahad Sabah Author 5: Zulfiqar Ali Zardari Author 6: Saqib Hussain Author 7: Fahad Razque

Multi-cloud is a vendor-based heterogeneous cloud paradigm in recent era of computing with dynamic infrastructural deployment. Multi-cloud provides all the essential and on-demand requirements of a virtual environment from various domains under a single service level agreement (SLA). Consumers from multitier domains can access all the available resources placed in… Read full abstract & cite →

Optimal provisioning resource allocation multi-cloud cost management QoS and selection of resources

Abstract doi.org/10.14569/IJACSA.2021.0120473 PDF

74

Software Engineering Ethics Competency Gap in Undergraduate Computing Qualifications within South African Universities of Technology

Author 1: Senyeki M. Marebane Author 2: Robert T. Hans

Computing graduates working as software engineers are expected to demonstrate competencies in various categories of software engineering ethics as a component of non-technical skills that complement technical skills. Therefore, university programme offerings should provide opportunities for students to develop software engineering ethical competence. This study analyses curriculum documents to determine… Read full abstract & cite →

Software engineering ethics software engineer technical skills knowledge curriculum professional ethics general ethics university of technology

Abstract doi.org/10.14569/IJACSA.2021.0120474 PDF

75

Healthcare Logistics Optimization Framework for Efficient Supply Chain Management in Niger Delta Region of Nigeria

Author 1: Imeh J. Umoren Author 2: Ubong E. Etuk Author 3: Anietie P. Ekong Author 4: Kingsley C. Udonyah

Optimizing logistics allocation and utilization is essential for effective healthcare management. Apparently, less consideration is given to it in most hospitals in Nigeria where less resources are allocated to health sector in yearly budgetary. Hospital consists of several patient classes, each of which follows different treatment process flow paths over… Read full abstract & cite →

Dedicated logistics department (DLD) Quality of Care (QoC) Quality of Experience (QoE) information/cognitive technologies (ETA) and type-1 fuzzy logic model

Abstract doi.org/10.14569/IJACSA.2021.0120475 PDF

76

RETRACTED: A Data Science Framework for Data Quality Assessment and Inconsistency Detection

Author 1: Anusuya Ramasamy Author 2: Berhanu Sisay Author 3: Amanuel Bahiru

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 →

Data Science OMD data model weight generation min-sum dynamic programming algorithm

Abstract doi.org/10.14569/IJACSA.2021.0120476 PDF

77

Investigation of Smart Home Security and Privacy: Consumer Perception in Saudi Arabia

Author 1: Omar Almutairi Author 2: Khalid Almarhabi

One of the fastest and most developing technologies around the globe is the Internet of things (IoT). The research questions in this study focus on the security and privacy challenges for a smart home environment. The geographical region of Saudi Arabia is the selected boundary for the study. The study… Read full abstract & cite →

Smart home IoT Saudi Arabia security privacy issues demographic perception consumer

Abstract doi.org/10.14569/IJACSA.2021.0120477 PDF

78

Smart Company System using Hybrid Nomenclature of Neural Network

Author 1: Mbida Mohamed Author 2: Ezzati Abdellah

Physically, to manage the data related to the products, CRM, suppliers and Administration warehouse of the company makes us use a lot of human resources, and a time which deals with this, consequently the error rate increases and sometimes everything goes out of control, however, this work designed an intelligent… Read full abstract & cite →

Neural network intelligent CRM company warehouse real time

Abstract doi.org/10.14569/IJACSA.2021.0120478 PDF

79

Handling Sudden and Recurrent Changes in Business Process Variability: Change Mining based Approach

Author 1: Asmae HMAMI Author 2: Hanae SBAI Author 3: Mounia FREDJ

Changes are random and unavoidable actions in business processes, and they are frequently overlooked by managers, especially when managers need to deal with a collection of process variants. Because they must manage every single business process variant separately which is a time-consuming task. They exist many approaches to manage a… Read full abstract & cite →

Component variability process variant configurable process model process mining change mining concept drift

Abstract doi.org/10.14569/IJACSA.2021.0120479 PDF

80

The Effect of Different Dimensionality Reduction Techniques on Machine Learning Overfitting Problem

Author 1: Mustafa Abdul Salam Author 2: Ahmad Taher Azar Author 3: Mustafa Samy Elgendy Author 4: Khaled Mohamed Fouad

In most conditions, it is a problematic mission for a machine-learning model with a data record, which has various attributes, to be trained. There is always a proportional relationship between the increase of model features and the arrival to the overfitting of the susceptible model. That observation occurred since not… Read full abstract & cite →

Dimensionality reduction feature subset selection rough set overfitting underfitting machine learning

Abstract doi.org/10.14569/IJACSA.2021.0120480 PDF

81

A Sentiment Analysis of Egypt’s New Real Estate Registration Law on Facebook

Author 1: Abdulfattah Omar Author 2: Wafya Ibrahim Hamouda

In response to the increasing influence of social media networks on shaping the public opinion, sentiment analysis systems and applications have been developed to extract insights and gain an overview of the wider public opinion behind certain topics so as to support businesses, manufacturers, government agencies, and policymakers with their… Read full abstract & cite →

Egypt facebook opinion real estate registration law sentiment analysis social media

Abstract doi.org/10.14569/IJACSA.2021.0120481 PDF

82

Factors Affecting Mobile Learning Acceptance in Higher Education: An Empirical Study

Author 1: Nahil Abdallah Author 2: Odeh Abdallah Author 3: OM Bohra

The use of mobile tools to support learning and teaching activities has become a significant part of the informal learning process. Mobile learning (M-learning) is used to considerably develop the forms of learning activities made by learners, and support the learning process. The effective application of M-learning in higher educational… Read full abstract & cite →

Mobile learning UTAUT structural equation modeling tam technology acceptance

Abstract doi.org/10.14569/IJACSA.2021.0120482 PDF

83

Novel Properties for Total Strong - Weak Domination Over Bipolar Intuitionistic Fuzzy Graphs

Author 1: As’ad Mahmoud As’ad Alnaser

Through this research study, we introduced and discussed total strong (weak) domination concept of bipolar intuitionistic fuzzy graphs and in define strong domination bipolar intuitionistic fuzzy graph also strong domination. Theorems, examples and some properties of these concept are discussed. Read full abstract & cite →

Fuzzy sets bipolar intuitionistic fuzzy sets strong (weak) bipolar intuitionistic fuzzy sets total strong (weak) bipolar intuitionistic number

Abstract doi.org/10.14569/IJACSA.2021.0120483 PDF

84

Performance Comparison of Three Hybridization Categories to Solve Multi-Objective Flow Shop Scheduling Problem

Author 1: Jebari Hakim Author 2: Siham Rekiek Author 3: Rahali El Azzouzi Saida Author 4: Samadi Hassan

The industries must preserve a rate of constant productivity; however, weaknesses appear at the level of production system which engenders high manufacturing costs. Scheduling is considered the most significant issue in the production system, the solution to that problem need complex methods to solve it. The goal of this paper… Read full abstract & cite →

Scheduling multi-objective flow shop multi hybridization artificial bee colony ABC particle swarm optimization PSO

Abstract doi.org/10.14569/IJACSA.2021.0120484 PDF

85

Learners Classification for Personalized Learning Experience in e-Learning Systems

Author 1: A. JOHN MARTIN Author 2: M. MARIA DOMINIC Author 3: F. Sagayaraj Francis

The investigators are inspired by the increasing need and the demand for educational applications and the Learning Management Systems which provide learning objects centered on the learning style of the learners. The technique in which the learners acquire, process, gain the information is unique; these unique characteristics affect their learning… Read full abstract & cite →

Learning style learning profile learning objects e-Learning personalization

Abstract doi.org/10.14569/IJACSA.2021.0120485 PDF

86

Efficient Security Solutions for IoT Devices

Author 1: Faleh Alfaleh Author 2: Salim Elkhediri

The Internet of Things (IoT) is a technological innovation that has revolutionized society. The IoT will forever change the way we use simple things that do very little things to smart, fully capable things. IoT devices can process and automate everyday household and workplace tasks through simple sensors. Yet despite… Read full abstract & cite →

Efficient IoT Systems on a Chip (SoC) ML Network

Abstract doi.org/10.14569/IJACSA.2021.0120486 PDF

87

Internet of Things (IoT) based Smart Vehicle Security and Safety System

Author 1: Yassine SABRI Author 2: Aouad Siham Author 3: Aberrahim Maizate

The Internet of Things (IoT) is making human life easy in all aspects. The applications it offers are beyond com-prehension. IoT is an abstract idea, a notion which interconnects all devices, tools, and gadgets over the Internet to enable these devices to communicate with one another. IoT finds application in… Read full abstract & cite →

Smart vehicle security safety system Internet of Things (IoT)

Abstract doi.org/10.14569/IJACSA.2021.0120487 PDF

88

Permissioned Blockchain: Securing Industrial IoT Environments

Author 1: Samira Yeasmin Author 2: Adeel Baig

With the significantly increased use of the Industrial Internet of Things (IIoT), it is believed that this technology will revolutionize industrial applications and infrastructures by connecting several industrial assets. But it is getting prone to many cyberattacks and security issues. The emerging security challenges of IIoT can have a devastating… Read full abstract & cite →

Industrial Internet of Things IIoT permissioned blockchain hyperledger fabric information security device communication data sharing access control

Abstract doi.org/10.14569/IJACSA.2021.0120488 PDF

89

A Hybrid Technique based on RSA and Data Hiding for Securing Handwritten Signature

Author 1: Yaser Maher Wazery Author 2: Shimaa Gamal Haridy Author 3: AbdElmegeid Amin Ali

Data exchange has been significantly encouraged by the development of communication technology and the wide use of social media over the Internet. Therefore, it is important to hide the data transmitted, especially the data that requires a person’s signature. Where the signature is an increasingly needed item that is used… Read full abstract & cite →

Image Steganography LSB Data Hiding Security Embedding data Cryptography RSA Handwritten signature

Abstract doi.org/10.14569/IJACSA.2021.0120489 PDF

90

Design and Performance Measurement of Energy-based Acoustic Signal Detection with Autonomous Underwater Vehicles

Author 1: Redouane Es-sadaoui Author 2: Jamal Khallaayoune Author 3: Tamara Brizard

The Autonomous Underwater Vehicles (AUVs) in-dustry is still awaiting its Henry Ford to bring to the market solutions that are well adapted to the challenge of underwater exploration. This will certainly be done by the advent of small connected drones equipped with small sensors and embedded devices, allowing AUVs to… Read full abstract & cite →

Autonomous Underwater Vehicles (AUVs) acoustic signal processing spectrum sensing energy detection

Abstract doi.org/10.14569/IJACSA.2021.0120490 PDF

91

A New Corner Detection Operator for Multi-Spectral Images

Author 1: Hassan El Houari Author 2: Ahmed Fouad El Ouafdi

Corner detection is a crucial image processing technique that has a wide range of application, including motion detection, image registration, video tracking, and object recogni-tion. Most proposed approaches for corner detection are based on gray-scale images, despite it has been shown that color infor-mation can greatly improve the quality of… Read full abstract & cite →

Corner detection multi-spectral operator

Abstract doi.org/10.14569/IJACSA.2021.0120491 PDF

92

Fast Fractal Coding of MRI Images using Deep Reinforcement Learning

Author 1: Bejoy Varghese Author 2: S. Krishnakumar

This paper presents an algorithm based on Fractal theory by using Iterated Function Systems (IFS). An efficient and fast coding mechanism is proposed by exploiting the self similarity nature in the Brain MRI images. The proposed algorithm utilizes Deep Reinforcement Learning (DRL) technique to learn the transformations required to recreate… Read full abstract & cite →

Fractal compression deep reinforcement learning MRI image compression deep learning adative fractal coding

Abstract doi.org/10.14569/IJACSA.2021.0120492 PDF

93

Comprehensive Analysis of Two Malicious Arabic-Language Twitter Campaigns

Author 1: Reem Alharthi Author 2: Areej Alhothali Author 3: Kawthar Moria

Fake malicious accounts are one of the primary causes of the deterioration of social network content quality. Numerous such accounts are generated by attackers to achieve multiple nefarious goals, including phishing, spamming, spoof- ing, and promotion. These practices pose significant challenges regarding the availability of credible data that reflect real… Read full abstract & cite →

Social network security social spammers arab twitter users malicious campaigns on twitter data mining

Abstract doi.org/10.14569/IJACSA.2021.0120493 PDF

94

Integrating Cost-231 Multiwall Propagation and Adaptive Data Rate Method for Access Point Placement Recommendation

Author 1: Fransiska Sisilia Mukti Author 2: Puput Dani Prasetyo Adi Author 3: Dwi Arman Prasetya Author 4: Volvo Sihombing Author 5: Nicodemus Rahanra Author 6: Kristia Yuliawan Author 7: Julianto Simatupang

A new approach has been developed to provide an overview about signal behavior in indoor environments using Cost-231 Multiwall Model (Cost-231 MWM) and Adaptive Data Rate (ADR) method. This approach used as a reference for access point (AP) placement for campus building. The Cost-231 MWM plays a role in estimating… Read full abstract & cite →

Access point placement indoor propagation Cost- 231 Multiwall ADR RSSI

Abstract doi.org/10.14569/IJACSA.2021.0120494 PDF

95

A Comparative Analysis of Hadoop and Spark Frameworks using Word Count Algorithm

Author 1: Yassine Benlachmi Author 2: Abdelaziz El Yazidi Author 3: Moulay Lahcen Hasnaoui

With the advent of the Big Data explosion due to the Information Technology (IT) revolution during the last few decades, the need for processing and analyzing the data at low cost in minimum time has become immensely challenging. The field of Big Data analytics is driven by the demand to… Read full abstract & cite →

Big data hadoop spark machine learning Hadoop Distributed File System (HDFS)) mapreduce word count

Abstract doi.org/10.14569/IJACSA.2021.0120495 PDF

96

Security Aspects of Electronic Health Records and Possible Solutions

Author 1: Prashant Vilas Kanade Author 2: Arun Kumar

Health related information of a person in systematic format using information and Communication technology is definitely required. Storing patient information according to guidelines provided by government will help to achieve the concept of one person one record. There is also need to share the personal health record whenever necessary. If… Read full abstract & cite →

Patient history cryptography blockchain timestamp based record IPFS electronic health records

Abstract doi.org/10.14569/IJACSA.2021.0120496 PDF