IJACSA Vol. 12 Issue 5 (2021)

1

Rain Attenuation in 5G Wireless Broadband Backhaul Link and Develop (IoT) Rainfall Monitoring System

Author 1: Konstantinos Zarkadas Author 2: George Dimitrakopoulos

Climate change is the cause of more frequent and intense rainfall where they affect wireless communications because they cause severe weakening of the power of the emitted signal. These losses reduce network coverage and, therefore, system availability. The proposed solution is to integrate an Internet of Things (IoT) rainfall monitoring… Read full abstract & cite →

Rain attenuation Internet of Things wireless broadband

Abstract doi.org/10.14569/IJACSA.2021.0120501 PDF

2

Development of Wearable Heart Sound Collection Device

Author 1: Ximing HUAI Author 2: Shota Notsu Author 3: Dongeun Choi Author 4: Panote Siriaraya Author 5: Noriaki Kuwahara

In recent years, the mortality rate of cardiovascular diseases and the younger generation have attracted people's attention. At the same time, there is an increasing demand for devices that can monitor the physiological parameters of the heart. In this research, a wearable devices was designed and developed for heart sound… Read full abstract & cite →

Cardiovascular diseases wearable devices heart sound collection convolutional neural network

Abstract doi.org/10.14569/IJACSA.2021.0120502 PDF

3

Matters of Neural Network Repository Designing for Analyzing and Predicting of Spatial Processes

Author 1: Stanislav A. Yamashkin Author 2: Anatoliy A. Yamashkin Author 3: Ekaterina O. Yamashkina Author 4: Anastasiya A. Kamaeva

The article is devoted to solving the scientific problem of accumulating and systematizing models and machine learning algorithms by developing a repository of deep neural network models for analyzing and predicting of spatial processes in order to support the process of making managerial decisions in the field of ensuring conditions… Read full abstract & cite →

Repository deep learning artificial neural network spatial data visual programming

Abstract doi.org/10.14569/IJACSA.2021.0120503 PDF

4

Bluetooth-based WKNNPF and WKNNEKF Indoor Positioning Algorithm

Author 1: Sokliep Pheng Author 2: Ji Li Author 3: Luo Xiaonan Author 4: Yanru Zhong

Indoor Positioning System (IPS) in generally perform as a network of devices that always located the objects or people inside a building wirelessly. An IPS has direction relies nearby anchors and also can be entirely local to your smartphone. With the rapid growth and sharp increase in Indoor Positioning System… Read full abstract & cite →

Indoor Positioning System (IPS) Bluetooth low energy WLAN RSSI WKNNPF WKNNEKF KNN WKNN

Abstract doi.org/10.14569/IJACSA.2021.0120504 PDF

5

Exploring Machine Learning Techniques for Coronary Heart Disease Prediction

Author 1: Hisham Khdair Author 2: Naga M Dasari

Coronary Heart Disease (CHD) is one of the leading causes of death nowadays. Prediction of the disease at an early stage is crucial for many health care providers to protect their patients and save lives and costly hospitalization resources. The use of machine learning in the prediction of serious disease… Read full abstract & cite →

Coronary heart disease machine learning prediction classification

Abstract doi.org/10.14569/IJACSA.2021.0120505 PDF

6

A Survey of Specification-based Intrusion Detection Techniques for Cyber-Physical Systems

Author 1: Livinus Obiora Nweke

Cyber-physical systems (CPS) integrate computa-tion and communication capabilities to monitor and control physical systems. Even though this integration improves the performance of the overall system and facilitates the application of CPS in several domains, it also introduces security challenges. Over the years, intrusion detection systems (IDS) have been de-ployed as… Read full abstract & cite →

Cyber-physical systems intrusion detection systems specification-based intrusion detection mechanism security

Abstract doi.org/10.14569/IJACSA.2021.0120506 PDF

7

Exploring Factors Associated with Subjective Health of Older-Old using ReLU Deep Neural Network and Machine Learning

Author 1: Haewon Byeon

Resolving the health issues of the elderly has emerged as an important task in the current society. This study developed models that could predict the subjective health of the older-old based on gradient boosting machine (GBM), naive Bayes model, classification and regression trees (CART), deep neural network, and random forest… Read full abstract & cite →

Gradient boosting machine classification and regression trees Naive Bayes model deep learning subjective health

Abstract doi.org/10.14569/IJACSA.2021.0120507 PDF

8

Propose Vulnerability Metrics to Measure Network Secure using Attack Graph

Author 1: Zaid. J. Al-Araji Author 2: Sharifah Sakinah Syed Ahmad Author 3: Raihana Syahirah Abdullah

With the increase in using computer networking, the security risk has also increased. To protect the network from attacks, attack graph has been used to analyze the vulnerabilies of the network. However, properly securing networks requires quantifying the level of security offered by these actions, as you cannot enhance what… Read full abstract & cite →

Attack graph security metrics attack path path analysis attack graph uses

Abstract doi.org/10.14569/IJACSA.2021.0120508 PDF

9

Creativity Training Model for Game Design

Author 1: Raudyah Md Tap Author 2: Nor Azan Mat Zin Author 3: Hafiz Mohd Sarim Author 4: Norizan Mat Diah

The popularity of digital games is increasing with a global market value of RM197.6 billion. However, the game produced locally still has no impact. One reason is that there is no emphasis on the game design process in the game development education program. Games designed have a problem in terms… Read full abstract & cite →

Creativity training game design creative ideas creative thinking

Abstract doi.org/10.14569/IJACSA.2021.0120509 PDF

10

Spiritual User Experience (iSUX) for Older Adult Users using Mobile Application

Author 1: Nahdatul Akma Ahmad Author 2: Zirawani Baharum Author 3: Azaliza Zainal Author 4: Fariza Hanis Abdul Razak Author 5: Wan Adilah Wan Adnan

The increasing number of aging populations worldwide versus vast developments in mobile technology creates questions on how older adults adapt and apply mobile technology in their daily life. This research focused on spiritual user experience for older adult users because older adults are claimed to be more spiritually inclined as… Read full abstract & cite →

Techno-spiritual user experience human computer interaction Geneva emotional musical scale 3e diary older people

Abstract doi.org/10.14569/IJACSA.2021.0120510 PDF

11

Reversible Data Hiding using Block-wise Histogram Shifting and Run-length Encoding

Author 1: Kandala Sree Rama Murthy Author 2: V. M. Manikandan

Histogram shifting-based Reversible Data Hiding (RDH) is a well-explored information security domain for secure message transmission. In this paper, we propose a novel RDH scheme that considers the block-wise histograms of the image. Most of the existing histogram shifting techniques will have additional overhead information to recover the overflow and/or… Read full abstract & cite →

Histogram shifting run-length encoding secure message transmission overflow Elias gamma

Abstract doi.org/10.14569/IJACSA.2021.0120511 PDF

12

A Bird’s Eye View of Natural Language Processing and Requirements Engineering

Author 1: Assad Alzayed Author 2: Ahmed Al-Hunaiyyan

Natural Language Processing (NLP) has demonstrated effectiveness in many application domains. NLP can assist software engineering by automating various activities. This paper examines the interaction between software requirements engineering (RE) and NLP. We reviewed the current literature to evaluate how NLP supports RE and to examine research developments. This literature… Read full abstract & cite →

Automated text understanding natural language processing requirements engineering requirements elicitation

Abstract doi.org/10.14569/IJACSA.2021.0120512 PDF

13

An Evaluation of Automatic Text Summarization of News Articles: The Case of Three Online Arabic Text Summary Generators

Author 1: Fahad M. Alliheibi Author 2: Abdulfattah Omar Author 3: Nasser Al-Horais

Digital news platforms and online newspapers have multiplied at an unprecedented speed, making it difficult for users to read and follow all news articles on important, relevant topics. Numerous automatic text summarization systems have thus been developed to address the increasing needs of users around the world for summaries that… Read full abstract & cite →

AlSummarizer Arabic automatic summarization discourse markers extraction LAKHASLY news articles RESOOMER sentence relevance

Abstract doi.org/10.14569/IJACSA.2021.0120513 PDF

14

Online Parameter Estimation of DC-DC Converter through OPC Communication Channel

Author 1: Mohammad A Obeidat Author 2: Malek Al Anani Author 3: Ayman M Mansour

System identification is a very powerful tool for determining the system model and parameters from sets of observable input and output data. Once the system parameters are obtained, the system dynamic behavior, including all the system characteristics (time constant, overshoot, settling time, etc.) can be accessed and evaluated. Despite the… Read full abstract & cite →

Online parameters estimation Open Platform Communication OPC communication channel ARMAX model (autoregressive-moving average with exogenous terms) DC-DC Converter chopper circuit

Abstract doi.org/10.14569/IJACSA.2021.0120514 PDF

15

Image Contrast Optimization using Local Color Correction and Fuzzy Intensification

Author 1: Avadhesh Kumar Dixit Author 2: Rakesh Kumar Yadav Author 3: Ramapati Mishra

Global image enhancement techniques are used to enhance contrast in images but these techniques are found to be under-enhanced or over-enhanced in differently illuminated regions of the image. Local color correction methods work on local pixel regions to optimize the color contrast enhancement but they also have been found to… Read full abstract & cite →

Contrast enhancement local color correction fuzzy operators optimization

Abstract doi.org/10.14569/IJACSA.2021.0120515 PDF

16

Exploring Factors Associated with the Social Discrimination Experience of Children from Multicultural Families in South Korea by using Stacking with Non-linear Algorithm

Author 1: Haewon Byeon

The number of children from multicultural families is increasing rapidly along with quickly increasing multicultural families. However, there are not enough surveys and basic researches for understanding the characteristics of multicultural children and issues such as social discrimination. This study discovered the machine learning model with the best performance for… Read full abstract & cite →

Stacking ensemble meta model root-mean-square-error index of agreement rotation forest

Abstract doi.org/10.14569/IJACSA.2021.0120516 PDF

17

Predicting DOS-DDOS Attacks: Review and Evaluation Study of Feature Selection Methods based on Wrapper Process

Author 1: Kawtar BOUZOUBAA Author 2: Youssef TAHER Author 3: Benayad NSIRI

Now-a-days, Cybersecurity attacks are becoming increasingly sophisticated and presenting a growing threat to individuals, private and public sectors, especially the Denial Of Service attack (DOS) and its variant Distributed Denial Of Service (DDOS). Dealing with these dangerous threats by using traditional mitigation solutions suffers from several limits and performance issues… Read full abstract & cite →

DOS-DDOS attacks feature selection wrapper process machine learning

Abstract doi.org/10.14569/IJACSA.2021.0120517 PDF

18

Intelligent Data Aggregation Framework for Resource Constrained Remote Internet of Things Applications

Author 1: Abhijith H V Author 2: H S Ramesh Babu

Internet of Things (IoT) is a technology that can connect everything to the Internet. IoT can be used in a wide range of applications which includes remote applications like Underwater networks. Remote applications involve the deployment of several low-power, low-cost interconnected sensor nodes in the specific region. With a massive… Read full abstract & cite →

Wireless sensor networks Internet of Things intelligent boundary determination sensor nodes data aggregation

Abstract doi.org/10.14569/IJACSA.2021.0120518 PDF

19

Investigative Study of the Effect of Various Activation Functions with Stacked Autoencoder for Dimension Reduction of NIDS using SVM

Author 1: Nirmalajyothi Narisetty Author 2: Gangadhara Rao Kancherla Author 3: Basaveswararao Bobba Author 4: K.Swathi

Deep learning is one of the most remarkable artificial intelligence trends. It remains behind numerous recent achievements in various domains, such as speech processing, and computer vision, to mention a few. Likewise, these achievements have sparked great attention in utilizing deep learning for dimension reduction. It is known that the… Read full abstract & cite →

Auto-encoder cloud computing dimension reduction intrusion detection system machine leaning

Abstract doi.org/10.14569/IJACSA.2021.0120519 PDF

20

GAAR: Gross Anatomy using Augmented Reality Mobile Application

Author 1: Wan Aezwani Wan Abu Bakar Author 2: Mustafa Man Author 3: Mohd Airil Solehan Author 4: Ily Amalina Ahmad Sabri

Covid-19 pandemic has forced the teaching and learning activity into real time and real-world education meetings. The traditional physical and face-to-face meetings are avoided in accordance to reducing the close physical contacts among individuals. Thus, a new paradigm shift towards teaching and learning needs to be highly enforced. Teaching and… Read full abstract & cite →

Augmented reality gross anatomy learning tool android mobile application 3D human anatomy

Abstract doi.org/10.14569/IJACSA.2021.0120520 PDF

21

GRASP Combined with ILS for the Vehicle Routing Problem with Time Windows, Precedence, Synchronization and Lunch Break Constraints

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

In this era of pandemic especially with COVID-19, many hospitals and care structures are at full capacity regarding availability of beds. This problem leads to ensure giving specific cares to people in need either in illness or disability in their own homes. Home Health Care (HHC) proposes this kind of… Read full abstract & cite →

Optimization VRP home health care ILS tabu search metaheuristics

Abstract doi.org/10.14569/IJACSA.2021.0120521 PDF

22

Development and Usability Testing of a Consultation System for Diabetic Retinopathy Screening

Author 1: Nurul Najihah A’bas Author 2: Sarni Suhaila Rahim Author 3: Mohamad Lutfi Dolhalit Author 4: Wan Sazli Nasarudin Saifudin Author 5: Nazreen Abdullasim Author 6: Shahril Parumo Author 7: Raja Norliza Raja Omar Author 8: Siti Zakiah Md Khair Author 9: Khavigpriyaa Kalaichelvam Author 10: Syazwan Izzat Noor Izhar

This study aims to develop a novel web-based decision support system for diabetic retinopathy screening and classification of eye fundus images for medical officers. The research delivers diabetic retinopathy information with a web-based environment according to the needs of the users. The proposed research also intends to evaluate the developed… Read full abstract & cite →

Consultation diabetic retinopathy eye screening image editing image processing web development testing

Abstract doi.org/10.14569/IJACSA.2021.0120522 PDF

23

Secure Data Transmission Framework for Internet of Things based on Oil Spill Detection Application

Author 1: Abhijith H V Author 2: H S Rameshbabu

Internet of Things (IoT) is a leading technology which can interlink anything to Internet and makes everything to intelligent and smart. IoT is not just a single technology. IoT is a combination of various technologies like communication, data analytics, sensors and actuators, cloud computing, artificial intelligence, machine learning, etc. Applications… Read full abstract & cite →

Internet of things wireless sensor networks sensor nodes data aggregation authentication light weight cryptography

Abstract doi.org/10.14569/IJACSA.2021.0120523 PDF

24

A Contemporary Ensemble Aspect-based Opinion Mining Approach for Twitter Data

Author 1: Satvika Author 2: Vikas Thada Author 3: Jaswinder Singh

Aspect-based opinion mining is one among the thought-provoking research field which focuses on the extraction of vivacious aspects from opinionated texts and polarity value associated with these. The principal aim here is to identify user sentiments about specific features of a product or service rather than overall polarity. This fine-grained… Read full abstract & cite →

Aspect-based sentiment analysis dependency parsing long short-term memory (LSTM) part of speech (POS) tagging term frequency-inverse document frequency (TF-IDF)

Abstract doi.org/10.14569/IJACSA.2021.0120524 PDF

25

Ultra-key Space Domain for Image Encryption using Chaos-based Approach with DNA Sequence

Author 1: Ibrahim AlBidewi Author 2: Nashwan Alromema

Recently, image encryption has taken an importance especially after the dramatic evolution of the internet and network communication. The importance of securing the images contents is due to the simplicity of capturing and transferring of digital images in various communication media. Although there are many approaches for image encryptions, chaos-based… Read full abstract & cite →

Chaos-based image encryption confusion diffusion color image RGB components DNA sequence

Abstract doi.org/10.14569/IJACSA.2021.0120525 PDF

26

Integrated Model to Develop Grammar Checker for Afaan Oromo using Morphological Analysis: A Rule-based Approach

Author 1: Jemal Abate Author 2: Vijayshri Khedkar Author 3: Sonali Kothari Tidke

This study has implemented a rule-based approach on grammar checkers by integrating a spell-checker with a morphological analyzer to improve the Afaan Oromo grammar checker. A corpus containing about 300,000 words has been prepared to be used for spell-checker. About 300 grammar rules are constructed to detect the grammar error… Read full abstract & cite →

Grammar checker spell checker part-of-speech tag error detection syntactic analysis semantic analysis morphological analyzer NLP

Abstract doi.org/10.14569/IJACSA.2021.0120526 PDF

27

IoT Soil Monitoring based on LoRa Module for Oil Palm Plantation

Author 1: Ahmad Alfian Ruslan Author 2: Shafina Mohamed Salleh Author 3: Sharifah Fatmadiana Wan Muhamad Hatta Author 4: Aznida Abu Bakar Sajak

Internet of Things (IoT) Soil Monitoring based on Low Range (LoRa) Module for Palm Oil Plantation is a prototype that sends data from the sender to the receiver by using LoRa technology. This realises the implementation of Industrial Revolution 4.0 in the agriculture sector. Also, this prototype uses the TTGO… Read full abstract & cite →

Internet of Things (IoT) Low Range (LoRa) Organic Light-Emitting Diodes (OLED) ThingSpeak Arduino

Abstract doi.org/10.14569/IJACSA.2021.0120527 PDF

28

Workload Partitioning of a Bio-inspired Simultaneous Localization and Mapping Algorithm on an Embedded Architecture

Author 1: Amraoui Mounir Author 2: Latif Rachid Author 3: Abdelhafid El Ouardi Author 4: Abdelouahed Tajer

Many algorithms were developed to perform visual localization and mapping (SLAM) for robotic applications. These algorithms used monocular or stereovision systems to solve constraints related to the navigation in unknown or dynamic environment. The requirement of SLAM systems in terms of processing time and precision is a factor that limits… Read full abstract & cite →

Simultaneous localization and mapping (SLAM) Bio-inspired algorithms CPU-GPU workload partitioning embedded systems visual acuity (VA) hardware/software codesign

Abstract doi.org/10.14569/IJACSA.2021.0120528 PDF

29

An Approach based on Machine Learning Algorithms for the Recommendation of Scientific Cultural Heritage Objects

Author 1: Fouad Nafis Author 2: Khalid AL FARARNI Author 3: Ali YAHYAOUY Author 4: Badraddine AGHOUTANE

The Scientific Cultural Heritage (SCH) of the Drâa-Tafilalet region in south-eastern Morocco is a rich source of data testifying to the ingenuity of an older generation that has shaped the past of the region. These data must be preserved for future generations, particularly with new technologies and the semantic web… Read full abstract & cite →

Cultural heritage CIDOC-CRM ontologies OWL recommender system semantic web RDF

Abstract doi.org/10.14569/IJACSA.2021.0120529 PDF

30

Comprehensive Survey and Research Directions on Blockchain IoT Access Control

Author 1: Hafiz Adnan Hussain Author 2: Zulkefli Mansor Author 3: Zarina Shukur

The Internet of Things (IoT) is a widely used technology in the last decade in different applications. The Internet of things is wirelessly or wired to communicate, store, compute and track various real-time scenarios. This survey mainly discussed the core problems of Internet of things security and access control to… Read full abstract & cite →

Blockchain Internet of Things IoT access control access control management

Abstract doi.org/10.14569/IJACSA.2021.0120530 PDF

31

Improving Performance of ABAC Security Policies Validation using a Novel Clustering Approach

Author 1: K. Vijayalakshmi Author 2: V.Jayalakshmi

Cloud computing offers several services, such as storage, software, networking, and other computing services. Cloud storage is a boon for big data and big data owners. Although big data owners can easily avail cloud storage without spending much on infrastructure and software to manage their data, security is a big… Read full abstract & cite →

Anomalies attribute-based access control model big data cloud storage clustering intrusion detection system security policy

Abstract doi.org/10.14569/IJACSA.2021.0120531 PDF

32

Multi-Robot based Control System

Author 1: Atef Gharbi

One of the most important challenge in Robotic Flexible Manufacturing Systems (RFMS) is how to develop a Multi-Robot based control system in which the robot is able to take intelligent decision to a changing environment. The problematic is how to ensure the flexibility with the proposed multi-robot based control system… Read full abstract & cite →

Robotic Flexible Manufacturing Systems (RFMS) multi-robot based control system RFMS control architecture planning model flexibility

Abstract doi.org/10.14569/IJACSA.2021.0120532 PDF

33

ICS: Interoperable Communication System for Inter-Domain Routing in Internet-of-Things

Author 1: Bhavana A Author 2: Nandha Kumar A N

The Internet-of-Things consists of heterogeneous smart appliances connected by global network with self-configuring capabilities requiring interoperable communication schemes while performing inter-domain routing. A review of existing interoperable approaches shows that there is still a large scope of improving IoT interoperability. The proposed system introduces Interoperable Communication System (ICS) by developing… Read full abstract & cite →

Internet-of-Things (IoT) interoperability heterogeneous gateway protocol inter-domain routing

Abstract doi.org/10.14569/IJACSA.2021.0120533 PDF

34

Security and Threats of RFID and WSNs: Comparative Study

Author 1: Ghada Hisham Alzeer Author 2: Ghada Sultam Aljumaie Author 3: Wajdi Alhakami

The Internet of Things (IoT) has garnered significant attention from people with growing changes in human life over the last few years. IoT is a network of a group of smart devices that use sensors to collect information and conduct events in their environments. The information can then be shared… Read full abstract & cite →

Security IoT WSN RFID

Abstract doi.org/10.14569/IJACSA.2021.0120534 PDF

35

Proposal of a Method to Measure Test Suite Quality Attributes for White-Box Testing

Author 1: Mochamad Chandra Saputra Author 2: Tetsuro Katayama

As an important asset in software testing, measuring quality attributes of the test suite is important to describe the quality of software. This research proposes a method to measure the test suite quality attributes for white-box testing. The attributes are usability, efficiency, reliability, functionality, portability, and maintainability that are selected… Read full abstract & cite →

Test case test suite quality attributes white-box testing reliability analysis software quality

Abstract doi.org/10.14569/IJACSA.2021.0120535 PDF

36

Intelligent Scroll Order Generator Software from View Movements in People with Disabilities

Author 1: Juan Ríos-Kavadoy Author 2: Harold Guerrero-Bello Author 3: Michael Cabanillas-Carbonell

People with motor disabilities face problems such as being able to move around independently, as well as having difficulties to take advantage of the technological tools developed for their rehabilitation. This research is based on computer vision and robotics, and was carried out with the objective of generating displacement orders… Read full abstract & cite →

Displacement motor disability pupil computer vision of images

Abstract doi.org/10.14569/IJACSA.2021.0120536 PDF

37

Onion Crop Monitoring with Multispectral Imagery using Deep Neural Network

Author 1: Naseer U Din Author 2: Bushra Naz Author 3: Samer Zai Author 4: Bakhtawer Author 5: Waqar Ahmed

The world’s growing population leads the government of Pakistan to increase the supply of food for the coming years in a well-organized manner. Feasible agriculture plays a vital role for sustain food production and preserves the environment from any unnecessary chemicals by the use of technology for good management. This… Read full abstract & cite →

UAV deep neural networks onion crop NDVI crop monitoring VGG16

Abstract doi.org/10.14569/IJACSA.2021.0120537 PDF

38

Combined Non-parametric and Parametric Classification Method Depending on Normality of PDF of Training Samples

Author 1: Kohei Arai

Classification method with combined nonparametric and parametric classifications which depends on the normality of Probability Density Function of training samples is proposed. The proposed classification method is also based on spatial information for high spatial resolution of satellite based optical sensor images is proposed. Also, a classification method which takes… Read full abstract & cite →

Spectral information spatial information maximum likelihood decision rule satellite image image classification classification performance instantaneous field of view

Abstract doi.org/10.14569/IJACSA.2021.0120538 PDF

39

Online Training and Serious Games in Clinical Training in Nursing and Midwife Education

Author 1: Galya Georgieva-Tsaneva Author 2: Ivanichka Serbezova

The article examines the application, methods, and trends in online training of health care and medical professionals in Bulgaria. Attention is paid to modern methods for the effective application of online training and the extent to which online training can replace traditional training. The article presents the results of a… Read full abstract & cite →

Health care medical education serious educational games nurse midwife online training

Abstract doi.org/10.14569/IJACSA.2021.0120539 PDF

40

An Implementation of Hybrid Enhanced Sentiment Analysis System using Spark ML Pipeline: A Big Data Analytics Framework

Author 1: Raviya K Author 2: Mary Vennila S

Today, we live in the Big Data age. Social networks, online shopping, mobile data are main sources generating huge text data by users. This "text data" will provide companies with useful insight on how customers view their brand and encourage them to make business strategies actively in order to maintain… Read full abstract & cite →

Big data sentiment analysis machine learning apache spark ML pipeline

Abstract doi.org/10.14569/IJACSA.2021.0120540 PDF

41

Traffic Engineering in Software-defined Networks using Reinforcement Learning: A Review

Author 1: Delali Kwasi Dake Author 2: James Dzisi Gadze Author 3: Griffith Selorm Klogo Author 4: Henry Nunoo-Mensah

With the exponential increase in connected devices and its accompanying complexities in network management, dynamic Traffic Engineering (TE) solutions in Software-Defined Networking (SDN) using Reinforcement Learning (RL) techniques has emerged in recent times. The SDN architecture empowers network operators to monitor network traffic with agility, flexibility, robustness and centralized control… Read full abstract & cite →

Software defined networking reinforcement learning machine learning traffic engineering

Abstract doi.org/10.14569/IJACSA.2021.0120541 PDF

42

How Enterprise must be Prepared to be “AI First”?

Author 1: Mustapha Lahlali Author 2: Naoual Berbiche Author 3: Jamila El Alami

Among disruptive technologies, Artificial Intelligence (AI), Robotic Process Automation (RPA) and Machine Learning (ML) play a very important role in Businesses Transformation and continues to show great promise for creating new sources of wealth and new business models. The reality of AI in the company is not reduced to a… Read full abstract & cite →

Artificial intelligence machine learning RPA business transformation AI adoption

Abstract doi.org/10.14569/IJACSA.2021.0120542 PDF

43

The Effect of Augmented Reality in Improving Visual Thinking in Mathematics of 10th-Grade Students in Jordan

Author 1: Fadi Abdul Raheem Odeh Bani Ahmad

Augmented reality is one of the key issues in the area of improving visual thinking in science courses such as Mathematics. Augmented reality also offers a significant and effective role in the educational process. The current study aimed to investigate the effect of augmented reality in improving visual thinking of… Read full abstract & cite →

Augmented reality technology visual thinking development 10th grade mathematics

Abstract doi.org/10.14569/IJACSA.2021.0120543 PDF

44

Speeding up an Adaptive Filter based ECG Signal Pre-processing on Embedded Architectures

Author 1: Safa Mejhoudi Author 2: Rachid Latif Author 3: Amine Saddik Author 4: Wissam Jenkal Author 5: Abdelhafid El Ouardi

Medical applications increasingly require complex calculations with constraints of accelerated processing time. These applications are therefore oriented towards the integration of high-performance embedded architectures. In this context, the detection of cardiac abnormalities is a task that remains a high priority in emergency medicine. ECG analysis is a complex task that… Read full abstract & cite →

ECG signal denoising ADTF algorithm OpenMP programming embedded architectures

Abstract doi.org/10.14569/IJACSA.2021.0120544 PDF

45

Efficient Rain Simulation based on Constrained View Frustum

Author 1: JinGi Im Author 2: Mankyu Sung

Realistic real-time rain streaks rendering has been treated as a very difficult problem because of various natural phenomena. Also, for creating and managing many particles in a rain streak, many resources had to be used. This paper propose am efficient real-time rain streaks simulation algorithm by generating view-dependent rain particles… Read full abstract & cite →

View-dependent rendering realistic real-time simulation view frustum

Abstract doi.org/10.14569/IJACSA.2021.0120545 PDF

46

A Secure Communication Process of Wireless Sensor Network Architecture for Smart Urban Environment Monitoring Applications

Author 1: Rashmi S Bhaskar Author 2: Veena S Chakravarthi

Wireless Sensor Network has been increasingly used for remote monitoring system and its adoption in increasing exponentially for larger application too. However, there are various challenges associated with both resource management and security that roots up when the deployment scale goes massive and distributed in order. The proposed system considers… Read full abstract & cite →

Wireless sensor network (WSN) sensors smart city security secure communication process

Abstract doi.org/10.14569/IJACSA.2021.0120546 PDF

47

Customer Opinion Mining by Comments Classification using Machine Learning

Author 1: Moazzam Ali Author 2: Farwa yasmine Author 3: Husnain Mushtaq Author 4: Abdullah Sarwar Author 5: Adil Idrees Author 6: Sehrish Tabassum Author 7: BaburHayyat Author 8: Khalil Ur Rehman

In this era of digital and competitive market, every business entity is trying to adopt a digital marketing strategy to get global business benefits. To get such competitive advantages, it is necessary for E-commerce business organizations to understand the feelings, thinking and seasons of their customers regarding their products and… Read full abstract & cite →

Customer comments behavior mining data mining machine learning

Abstract doi.org/10.14569/IJACSA.2021.0120547 PDF

48

Spoken Language Identification on Local Language using MFCC, Random Forest, KNN, and GMM

Author 1: Vincentius Satria Wicaksana Author 2: Amalia Zahra S.Kom

Spoken language identification is a field of research that is already being done by many people. There are many techniques proposed for doing speech processing, such as Support Vector Machines, Gaussian Mixture Models, Decision Trees, and others. This paper will use the system using the Mel-Frequency Cepstral Coefficient (MFCC) features… Read full abstract & cite →

Gaussian mixture model random forest K-Nearest Neighbor spoken language recognition MFCC GMM KNN

Abstract doi.org/10.14569/IJACSA.2021.0120548 PDF

49

Conceptualizing Smart Sustainable Cities: Crossing Visions and Utilizing Resources in Africa

Author 1: Ahmed Al-Gindy Author 2: Aya Al-Chikh Omar Author 3: Mariam Aerabe Author 4: Ziad Elkhatib

Recent advancements in technologies enabled the development of smart cities to be more effective and possible. Smart cities depend on intelligent systems, artificial intelligence, the internet of things, control system, and many more advanced technologies. Sustainability challenges and problems worldwide, with smart and sustainability concepts, reflect almost mutual goals. It… Read full abstract & cite →

Smart cities sustainable energy renewable energy internet of things artificial intelligence

Abstract doi.org/10.14569/IJACSA.2021.0120549 PDF

50

Monophonic Guitar Synthesizer via Mobile App

Author 1: Edgar García Leyva Author 2: Elena Fabiola Ruiz Ledesma Author 3: Rosaura Palma Orozco Author 4: Lorena Chavarría Báez

In the guild of guitarists, it is common to work with guitar synthesizers because the emulation of a great variety of sounds that are produced by different musical instruments, starting from just playing the guitar, which means, a piece of music is played with a guitar, but other musical instruments… Read full abstract & cite →

Monophonic synthesizer guitar sound emulation mobile application

Abstract doi.org/10.14569/IJACSA.2021.0120550 PDF

51

Implementation of Artificial Neural Network in Forecasting Sales Volume in Tokopedia Indonesia

Author 1: Meiryani Author 2: Dezie Leonarda Warganegara

Predicting sales is one way to get company profits. Tokopedia Indonesia is one of the marketplaces that is included in the type of e-commerce customer to customer (C2C). This research was conducted in order to help sellers in the Tokopedia Indonesia marketplace to predict the sales of their merchandise, so… Read full abstract & cite →

Forecasting e-commerce backpropagation artificial neural network

Abstract doi.org/10.14569/IJACSA.2021.0120551 PDF

52

Design and Evaluation of Bible Learning Application using Elements of User Experience

Author 1: Frederik Allotodang Author 2: Herman Tolle Author 3: Nataniel Dengen

Technological developments can encourage children to learn easily and help solve problems that often arise in the learning process. Sunday School students need learning media to make it easier to understand Christian Education. The method used in Sunday Schools still uses conventional methods which include face-to-face teaching and learning in… Read full abstract & cite →

Christian education Sunday school element of user experience ARCS android application

Abstract doi.org/10.14569/IJACSA.2021.0120552 PDF

53

A Markerless-based Gait Analysis and Visualization Approach for ASD Children

Author 1: Nur Khalidah Zakaria Author 2: Nooritawati Md Tahir Author 3: Rozita Jailani

This study proposed a new method in gait acquisition and analysis for autistic children based on the markerless technique versus the gold standard marker-based technique. Here, the gait acquisition stage is conducted using a depth camera with a customizable skeleton tracking function that is the Microsoft Kinect sensor for recording… Read full abstract & cite →

Autism spectrum disorder (ASD) kinematic marker-based markerless-based gait analysis

Abstract doi.org/10.14569/IJACSA.2021.0120553 PDF

54

Increasing the Steganographic Resistance of the LSB Data Hide Algorithm

Author 1: A. Y. Buchaev Author 2: A. G. Mustafaev Author 3: V.S. Galyaev Author 4: A. M. Bagandov

The robustness of the security algorithm is one of the most important properties that determines how difficult it is to break it. Increasing the robustness of the algorithm directly affects the degree of secrecy when it is used for confidential transmission. The paper analyzes the steganographic algorithm Least Significant Bit… Read full abstract & cite →

Steganography steganalysis visual attack least significant bit

Abstract doi.org/10.14569/IJACSA.2021.0120554 PDF

55

Twitter based Data Analysis in Natural Language Processing using a Novel Catboost Recurrent Neural Framework

Author 1: V. Laxmi Narasamma Author 2: M. Sreedevi

In recent years, the sentiment analysis using Twitter data is the most prevalent theme in Natural Language Processing (NLP). However, the existing sentiment analysis approaches are having lower performance and accuracy for classification due to the inadequate labeled data and failure to analyze the complex sentences. So, this research develops… Read full abstract & cite →

Natural language processing sentiment analysis twitter data Catboost recurrent neural network

Abstract doi.org/10.14569/IJACSA.2021.0120555 PDF

56

Image-based Onion Disease (Purple Blotch) Detection using Deep Convolutional Neural Network

Author 1: Muhammad Ahmed Zaki Author 2: Sanam Narejo Author 3: Muhammad Ahsan Author 4: Sammer Zai Author 5: Muhammad Rizwan Anjum Author 6: Naseer u Din

Agriculture on earth is the biggest need for human sustenance. Over years, many farming methods and components have become computerized to guarantee quicker production with higher quality. Because of the enlarged demand in the farming industry, agricultural produce must be cultivated using an efficient process. Onion (Allium cepa L.) is… Read full abstract & cite →

Disease detection disease classification artificial intelligence inceptionv3 deep convolutional neural network

Abstract doi.org/10.14569/IJACSA.2021.0120556 PDF

57

Design of Multi-band Microstrip Patch Antennas for Mid-band 5G Wireless Communication

Author 1: Karima Mazen Author 2: Ahmed Emran Author 3: Ahmed S. Shalaby Author 4: Ahmed Yahya

Recently, the best antenna structures have considered microstrip patch antenna due to their simple construction, low cost, minimum weight, and the fact that they can be effortlessly integrated with circuits. To achieve multi-band operation an antenna is designed with an etching rectangle and circle slot on the surface of the… Read full abstract & cite →

Band-width microstrip multi-band notch slot rectangle slot 5 G

Abstract doi.org/10.14569/IJACSA.2021.0120557 PDF

58

Stacked Autoencoder based Feature Compression for Optimal Classification of Parkinson Disease from Vocal Feature Vectors using Immune Algorithms

Author 1: K. Kamalakannan Author 2: G.Anandharaj

Parkinson’s disease (PD) is a neurological progressive disorder and is most common among people who are above 60 years old. It affects the brain nerve cells due to the deficiency of dopamine secretion. Dopamine acts as a neurotransmitter and helps in the movement of the body parts. Once brain cells/neurons… Read full abstract & cite →

Immune algorithms Parkinson’s disease stacked autoencoder airs-parallel machine learning

Abstract doi.org/10.14569/IJACSA.2021.0120558 PDF

59

Gender Diversity in Computing and Immersive Games for Computer Programming Education: A Review

Author 1: Chyanna Wee Author 2: Kian Meng Yap

This paper provides a review of the current state of the gender gap in computer science and highlights how immersive games can mitigate this issue. Game-based learning (GBL) applications have been shown to successfully incite motivation in students and increase learning efficiency in both formal and non-formal educational settings. With… Read full abstract & cite →

Computer science education game-based learning gender virtual reality

Abstract doi.org/10.14569/IJACSA.2021.0120559 PDF

60

Fairness Embedded Adaptive Recommender System: A Conceptual Framework

Author 1: Alina Popa

In the current fast paced and constantly changing environment, companies should ensure that their way of interacting with user is both relevant and highly adaptive. In order to stay competitive, companies should invest in state-of-the-art technologies that optimize the relationship with the user using increasingly available data. The most popular… Read full abstract & cite →

Algorithmic fairness reinforcement learning recommender systems system adaptability

Abstract doi.org/10.14569/IJACSA.2021.0120560 PDF

61

Online Learning Acceptance Model during Covid-19: An Integrated Conceptual Model

Author 1: Qasem Kharma Author 2: Kholoud Nairoukh Author 3: AbdelRahman Hussein Author 4: Mosleh Abualhaj Author 5: Qusai Shambour

Because of Covid-19, many countries shutdown schools in order to prevent spreading the virus in their communities. Therefore, schools have opted to use online learning technologies that support distance learning for students. As consequences, Ministry of Higher Education and Scientific Research encourages higher education institutes to adopt blended learning in… Read full abstract & cite →

Online learning technology acceptance learning assistance learning community building assistance

Abstract doi.org/10.14569/IJACSA.2021.0120561 PDF

62

Data Analytics in Investment Banks

Author 1: Basma Iraqi Author 2: Lamia Benhiba Author 3: Mohammed Abdou Janati Idrissi

Capital Markets are one of the most important pillars of worldwide economy. They gather skilled finance and IT professionals as well as economists in order to take the best investment decisions and choose the most suitable funding solutions every time. Data analytics projects in Capital Markets can definitely be very… Read full abstract & cite →

Capital markets data analytics data analytics use cases data-driven transformation investment banks

Abstract doi.org/10.14569/IJACSA.2021.0120562 PDF

63

Early Prediction of Plant Diseases using CNN and GANs

Author 1: Ahmed Ali Gomaa Author 2: Yasser M. Abd El-Latif

Plant diseases enormously affect the agricultural crop production and quality with huge economic losses to the farmers and the country. This in turn increases the market price of crops and food, which increase the purchase burden of customers. Therefore, early identification and diagnosis of plant diseases at every stage of… Read full abstract & cite →

Plants diseases deep learning early detection convolutional neural network generative adversarial networks

Abstract doi.org/10.14569/IJACSA.2021.0120563 PDF

64

Mammogram Segmentation Techniques: A Review

Author 1: Eman Justaniah Author 2: Areej Alhothali Author 3: Ghadah Aldabbagh

There is a significant development in computer-aided detection (CADe) and computer-aided diagnostic (CADx) systems in recent years. This development coincides with the evolution of computing power and the growth of data. The CAD systems support detections and diagnosis of significant diseases, including cancer. Breast cancer is one of the most… Read full abstract & cite →

Mammogram medical imaging segmentation preprocessing breast cancer

Abstract doi.org/10.14569/IJACSA.2021.0120564 PDF

65

Sensed-Lexicon based Approach for Identification of Similarity among Punjabi Documents

Author 1: Jasleen Kaur Author 2: Jatinderkumar R Saini

Textual similarity among documents often leads to copyright issues. Manual measurement of similarity among documents is a time consuming infeasible activity. In this paper, we proposed a technique for measuring similarity at sensed-lexicon level for documents written in Punjabi language using Gurumukhi script. 50 Punjabi document pairs were manually collected… Read full abstract & cite →

Cosine Similarity Index (CSI) Jaccard Similarity Index (JSI) Levenshtien Distance Index (LDI) n-gram Punjabi similarity checker

Abstract doi.org/10.14569/IJACSA.2021.0120565 PDF

66

A Review on Feature Selection and Ensemble Techniques for Intrusion Detection System

Author 1: Majid Torabi Author 2: Nur Izura Udzir Author 3: Mohd Taufik Abdullah Author 4: Razali Yaakob

Intrusion detection has drawn considerable interest as researchers endeavor to produce efficient models that offer high detection accuracy. Nevertheless, the challenge remains in developing reliable and efficient Intrusion Detection System (IDS) that is capable of handling large amounts of data, with trends evolving in real-time circumstances. The design of such… Read full abstract & cite →

Intrusion detection system (IDS) anomaly-based IDS feature selection (FS) ensemble

Abstract doi.org/10.14569/IJACSA.2021.0120566 PDF

67

Design, Aggregation and Analysis of Power Consumption Data using the Jump Process

Author 1: Yazid Hambally Yacouba Author 2: Amadou Diabagaté Author 3: Michel Babri Author 4: Adama Coulibaly

This work aims to seek a pragmatic approach to assess electricity consumption at the level of households, buildings and neighborhoods. The main concern consists in proposing aggregation methods based on jump process according to a customer environment that is intrinsically linked to the implementation of a centralized system. The aim… Read full abstract & cite →

Design aggregation analysis jump process electricity consumption smart meter

Abstract doi.org/10.14569/IJACSA.2021.0120567 PDF

68

Assessing Data Sharing's Model Fitness Towards Open Data by using Pooled CFA

Author 1: Siti Nur’asyiqin Ismael Author 2: Othman Mohd Author 3: Yahaya Abd Rahim

This study demonstrates the step-by-step procedure to perform Pooled Confirmatory Factor Analysis (CFA) in the measurement part of Structural Equation Modelling (SEM). CFA is crucial for the SEM measurement model to obtain the acceptable model fit before modeling the structural model. There are two techniques in CFA; individual CFA and… Read full abstract & cite →

Pooled CFA data sharing open data measurement model validity

Abstract doi.org/10.14569/IJACSA.2021.0120568 PDF

69

Towards the Development of a Brain Semi-controlled Wheelchair for Navigation in Indoor Environments

Author 1: Hailah AlMazrua Author 2: Abir Benabid Najjar

Several technological advancements emerged providing the technical assistance supporting people with special needs in tackling their everyday tasks. Particularly, with the advancements in cost-effective Brain-Computer Interfaces (BCI), they can be very useful for people with disabilities to improve their quality of life. This paper investigates the usability of low-cost BCI… Read full abstract & cite →

Usability wheelchair navigation indoor navigation mobility impairment obstacle avoidance obstacle detection path planning BCI brain-computer interaction

Abstract doi.org/10.14569/IJACSA.2021.0120569 PDF

70

Computing Academics’ Perceived Level of Awareness and Exposure to Software Engineering Code of Ethics: A Case Study of a South African University of Technology

Author 1: Robert T. Hans Author 2: Senyeki M. Marebane Author 3: Jacqui Coosner

The need for awareness on ethical computing is increasingly becoming important. As a result this challenges all stakeholders in the software engineering profession, including educators, to improve their efforts on the awareness of professional codes of ethics which provide framework for ethical reference. However, the several compromises in the software… Read full abstract & cite →

Software engineering ethics code of ethics ethics awareness ethics education moral development ethics

Abstract doi.org/10.14569/IJACSA.2021.0120570 PDF

71

Automating and Optimizing Software Testing using Artificial Intelligence Techniques

Author 1: Minimol Anil Job

The final product of software development process is a software system and testing is one of the important stages in this process. The success of this process can be determined by how well it accomplishes its goal. Due to the advancement of technology, various software testing tools have been introduced… Read full abstract & cite →

Software testing artificial intelligence testing automation software engineering software quality

Abstract doi.org/10.14569/IJACSA.2021.0120571 PDF

72

Cultural Events Classification using Hyper-parameter Optimization of Deep Learning Technique

Author 1: Feng Zhipeng Author 2: Hamdan Gani

Through digitization, maintaining and promoting cultural heritage is being strengthened. Concerning this background, this study presents a new Indonesia cultural events dataset and automatic image classification for cultural events. The dataset was developed using the Flickr image platform, and the five cultural events image was collected including the Baliem Festival… Read full abstract & cite →

Cultural events convolutional neural network (CNN) very depth convolutional network (VGG) multi-class classification

Abstract doi.org/10.14569/IJACSA.2021.0120572 PDF

73

Towards using Single EEG Channel for Human Identity Verification

Author 1: Marwa A. Elshahed

Biometrics is an interesting area of research as a result of tremendous technological advances, especially in security. It is considered as an automated technology used for identification based on biological or behavioral human traits. An electroencephalogram (EEG) is the brain electrical activity signals considered as biological traits used in biometrics… Read full abstract & cite →

Biometric EEG single channel verification brain lobes

Abstract doi.org/10.14569/IJACSA.2021.0120573 PDF

74

Evaluation of Machine Learning Algorithms for Intrusion Detection System in WSN

Author 1: Mohammed S. Alsahli Author 2: Marwah M. Almasri Author 3: Mousa Al-Akhras Author 4: Abdulaziz I. Al-Issa Author 5: Mohammed Alawairdhi

Technology has revolutionized into connecting “things” together with the rebirth of the global network called Internet of Things (IoT). This is achieved through Wireless Sensor Network (WSN) which introduces new security challenges for Information Technology (IT) scientists and researchers. This paper addresses the security issues in WSN by establishing potential… Read full abstract & cite →

Internet of Things (IoT) Wireless Sensor Network (WSN) Information Technology (IT) Denial of Service (DoS) artificial intelligence (AI) machine learning (ML)

Abstract doi.org/10.14569/IJACSA.2021.0120574 PDF

75

Improving Packet Delivery Ratio in Wireless Sensor Network with Multi Factor Strategies

Author 1: Venkateswara Rao M Author 2: Srinivas Malladi

In the design of wireless sensor network (WSN), packet delivery ratio is an import parameter to be maximized. In existing schemes, a secure zone-based routing protocol was implemented for life time improvement in WSNs. In multi - hop communication, a new routing criterion was formulated for packet transmission. Security against… Read full abstract & cite →

Multi factor strategies novel routing metric packet coding packet delivery ratio

Abstract doi.org/10.14569/IJACSA.2021.0120575 PDF

76

UML Sequence Diagram: An Alternative Model

Author 1: Sabah Al-Fedaghi

The UML sequence diagram is the second most common UML diagram that represents how objects interact and exchange messages over time. Sequence diagrams show how events or activities in a use case are mapped into operations of object classes in the class diagram. The general acceptance of sequence diagrams can… Read full abstract & cite →

Requirements elicitation conceptual modeling static model events model behavioral model

Abstract doi.org/10.14569/IJACSA.2021.0120576 PDF

77

A Succinct Novel Searching Algorithm

Author 1: Celine Author 2: Shinoj Robert Author 3: Maria Dominic

A searching algorithm was found to be effective in producing acutely needed results in the operation of data structures. Searching is being performed as a common operation unlike other operations in various formats of algorithms. The binary and linear search book a room in most of the searching techniques. Going… Read full abstract & cite →

Time complexities space complexities searching algorithm biform tree pre-order traversal

Abstract doi.org/10.14569/IJACSA.2021.0120577 PDF

78

Earthquake Prediction using Hybrid Machine Learning Techniques

Author 1: Mustafa Abdul Salam Author 2: Lobna Ibrahim Author 3: Diaa Salama Abdelminaam

This research proposes two earthquake prediction models using seismic indicators and hybrid machine learning techniques in the region of southern California. Seven seismic indicators were mathematically and statistically calculated depending on pervious recorded seismic events in the earthquake catalogue of that region. These indicators are namely, time taken during the… Read full abstract & cite →

Extreme learning machine least square support vector machine flower pollination algorithm earthquake prediction

Abstract doi.org/10.14569/IJACSA.2021.0120578 PDF

79

New Smart Encryption Approach based on Multidimensional Analysis Tools

Author 1: Salima TRICHNI Author 2: Fouzia OMARY Author 3: Mohammed BOUGRINE

In the last decade, with the new situation forced by the Covide-19 pandemic, the information systems are often forced to work remotely, they must communicate and share confidential data with several interlocutors. In such a context, ensuring the confidentiality of communications becomes a complex and difficult task. Hence, the need… Read full abstract & cite →

Security confidentiality artificial intelligent smart encryption cryptography skyline

Abstract doi.org/10.14569/IJACSA.2021.0120579 PDF

80

Natural Language Processing Applications: A New Taxonomy using Textual Entailment

Author 1: Manar Elshazly Author 2: Mohammed Haggag Author 3: Soha Ahmed Ehssan

Textual entailment recognition is one of the recent challenges of the Natural Language Processing (NLP) domain. Deep learning strategies are used in the work of text entailment instead of traditional Machine learning or raw coding to achieve new enhanced results. Textual entailment is also used in the substantial applications of… Read full abstract & cite →

Textual entailment deep learning summarization sentiment analysis information verification machine learning depression detection

Abstract doi.org/10.14569/IJACSA.2021.0120580 PDF

81

Improved Exemplar based Image Inpainting for Partial Instance Occlusion Handling with K-means Clustering and YCbCr Color Space

Author 1: Deepa Abin Author 2: Sudeep D.Thepade

The images acquired in real time outdoor environment are often subject to uneven illumination conditions, cloudy weather, lighting conditions. The instances of partial occlusions deteriorate the background modeling of such scenes. Varying illumination outdoor scene set of images with partial occlusions are addressed through this investigative work. There is a… Read full abstract & cite →

Partial occlusion exemplar inpainting K-means clustering YCbCr color space

Abstract doi.org/10.14569/IJACSA.2021.0120581 PDF

82

Predicting the Appropriate Mode of Childbirth using Machine Learning Algorithm

Author 1: Md. Kowsher Author 2: Nusrat Jahan Prottasha Author 3: Anik Tahabilder Author 4: Kaiser Habib Author 5: Md. Abdur-Rakib Author 6: Md. Shameem Alam

A woman's satisfaction with childbirth may have immediate and long-term effects on her health as well as on the relationship with her newborn child. The mode of baby delivery is genuinely vital to a delivery patient and her infant child. It might be a crucial factor for ensuring the safety… Read full abstract & cite →

Childbirth labour mode supervised machine learning maternal death infant

Abstract doi.org/10.14569/IJACSA.2021.0120582 PDF

83

Power-based Side Channel Analysis and Fault Injection: Hacking Techniques and Combined Countermeasure

Author 1: Noura Benhadjyoussef Author 2: Mouna Karmani Author 3: Mohsen Machhout

Over the last years, physical attacks have been massively researched due to their capability to extract secret information from cryptographic engine. These hacking techniques are based on exploiting information from physical implementations instead of cryptographic algorithm flaws. Fault-injection attacks (FA) and Side-channel analysis (SCA) are the most popular techniques of… Read full abstract & cite →

Advanced encryption standard fault attack power attacks combined countermeasure hardware implementation

Abstract doi.org/10.14569/IJACSA.2021.0120583 PDF

84

RETRACTED: Drone Security: Issues and Challenges

Author 1: Rizwan Majeed Author 2: Nurul Azma Abdullah Author 3: Muhammad Faheem Mushtaq Author 4: Rafaqut Kazmi

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 →

Drone technology security internet of things threats privacy

Abstract doi.org/10.14569/IJACSA.2021.0120584 PDF

85

Blockchain Technology in Education System

Author 1: Afnan H. Alsaadi Author 2: Doaa M. Bamasoud

The aim of this paper is to review the blockchain technology and its benefits in relations to education system. Blockchain technology is widely researched and highly evaluated and appraised for its unique infrastructure. In general, blockchain researched for its association with Bitcoin and cryptocurrency advantages. In this survey the plan… Read full abstract & cite →

Blockchain certifications authentication decentralized-education transparency immutability smart contracts learning accessibility fraud prevention sustainability ledger consensus

Abstract doi.org/10.14569/IJACSA.2021.0120585 PDF

86

Supporting Multi-interface Entities in Software-Defined Wireless Networks

Author 1: Jun-Hyuk Park Author 2: Wonyong Yoon

Software-Defined Networking (SDN) has gained growing momentum from its earlier application for wired networks (e.g., data center networks) to its application for wireless and mobile networks. In addition, state-of-the-art wireless and mobile networks (cellular networks and mesh networks) have been enhanced through the integration of multiple radio access technologies or… Read full abstract & cite →

Software-defined networking multi-interface multi-interface switch flow-precision mobility flow-precision routing

Abstract doi.org/10.14569/IJACSA.2021.0120586 PDF

87

A Machine Learning based Analytical Approach for Envisaging Bugs

Author 1: Anjali Munde

A software imperfection is a shortcoming, virus, defect, mistake, breakdown or glitch in software that initiates it to establish an unsuitable or unanticipated result. The foremost hazardous components connected with a software imperfection that is not identified at an initial stage of software expansion are time, characteristic, expenditure, determination and… Read full abstract & cite →

Software bug prediction prediction model data mining machine learning Naïve Bayes (NB) support vector machine (SVM) k-nearest neighbors (KNN) decision tree (DT) random forest (RF) python programming

Abstract doi.org/10.14569/IJACSA.2021.0120587 PDF

88

Multi-category Bangla News Classification using Machine Learning Classifiers and Multi-layer Dense Neural Network

Author 1: Sharmin Yeasmin Author 2: Ratnadip Kuri Author 3: A R M Mahamudul Hasan Rana Author 4: Ashraf Uddin Author 5: A. Q. M. Sala Uddin Pathan Author 6: Hasnat Riaz

Online and offline newspaper articles have become an integral phenomenon to our society. News articles have a significant impact on our personal and social activities but picking a piece of an appropriate news article is a challenging task for users from the ocean of sources. Recommending the appropriate news category… Read full abstract & cite →

Bangla news classification supervised learning feature extraction category prediction machine learning neural network

Abstract doi.org/10.14569/IJACSA.2021.0120588 PDF

89

The Effect of Using Light Stemming for Arabic Text Classification

Author 1: Jaffar Atwan Author 2: Mohammad Wedyan Author 3: Qusay Bsoul Author 4: Ahmad Hamadeen Author 5: Ryan Alturki Author 6: Mohammed Ikram

Arabic is one of the Semitic languages in antiquity and one of the six official languages of the UN. Also, Arabic classification plays a significant and essential role in modern applications. There is a big difference between handling English text and Arabic text classification; preprocessing is also challenging for Arabic… Read full abstract & cite →

Arabic language light stemming information retrieval Naïve Bayes classification

Abstract doi.org/10.14569/IJACSA.2021.0120589 PDF

90

Travel Behavior Modeling: Taxonomy, Challenges, and Opportunities

Author 1: Aman Sharma Author 2: Abdullah Gani Author 3: David Asirvatham Author 4: Riyath Ahmed Author 5: Muzaffar Hamzah Author 6: Mohammad Fadhli Asli

Personal daily movement patterns have a longitu-dinal impact on the individual’s decision-making in traveling. Recent observation on human travel raises concerns on the impact of travel behavior changes on many aspects. Many travel-related aspects like traffic congestion management and effective land-use were significantly affected by travel behavior changes. Existing travel… Read full abstract & cite →

Travel behavior travel behavior modeling predic-tion modeling intelligent traveling

Abstract doi.org/10.14569/IJACSA.2021.0120590 PDF

91

A Novel Pornographic Visual Content Classifier based on Sensitive Object Detection

Author 1: Dinh-Duy Phan Author 2: Thanh-Thien Nguyen Author 3: Quang-Huy Nguyen Author 4: Hoang-Loc Tran Author 5: Khac-Ngoc-Khoi Nguyen Author 6: Duc-Lung Vu

With the increasing amount of pornography being uploaded on the Internet today, arises the need to detect and block such pornographic websites, especially in Eastern cultural countries. Studying pornographic images and videos, show that explicit sensitive objects are typically one of the main charac-teristics portraying the unique aspect of pornography… Read full abstract & cite →

Computer vision image proccessing object detec-tion pornographic recognition and classification blocking exten-sion machine learning deep learning CNN

Abstract doi.org/10.14569/IJACSA.2021.0120591 PDF

92

Deep Learning-based Natural Language Processing Methods Comparison for Presumptive Detection of Cyberbullying in Social Networks

Author 1: Diego A. Andrade-Segarra Author 2: Gabriel A. Le´on-Paredes

Due to TIC development in the last years, users have managed to satisfy many social experiences through several digital media like blogs, web and especially social networks. However, not all social media users have had good experiences with these media. Since there are malicious users that are able to cause… Read full abstract & cite →

Bidirectional Encoder Representations from Trans-formers BERT Cyberbullying Natural Language Processing Re-current Neural Network + Long Short Term Memory RNN+LSTM Sentiment Analysis Semantics Spanish Language Processing

Abstract doi.org/10.14569/IJACSA.2021.0120592 PDF

93

Situation Awareness Levels to Evaluate the Usability of Augmented Feedback to Support Driving in an Unfamiliar Traffic Regulation

Author 1: Hasan J. Alyamani Author 2: Ryan Alturkiy Author 3: Arda Yunianta Author 4: Nashwan A. Alromema Author 5: Hasan Sagga Author 6: Manolya Kavakli

Driving in an unfamiliar traffic regulation using an unfamiliar vehicle configuration contributes to increase number of traffic accidents. In these circumstances, a driver needs to have what is referred to as ‘situation awareness’ (SA). SA is divided into (level 1) perception of environmental cues, (level 2) comprehension of the perceived… Read full abstract & cite →

Situation awareness unfamiliar traffic regulation augmented feedback in-vehicle information systems

Abstract doi.org/10.14569/IJACSA.2021.0120593 PDF

94

An Interactive Tool for Teaching the Central Limit Theorem to Engineering Students

Author 1: Anas Basalamah

The sole purpose of this paper is to guide students in learning the introductory statistical concepts such as- probability distribution and the central limit theorem (CLT) in an intuitive approach through an interactive tool. When a used data has different probability distributions, this paper intends to clarify the notions of… Read full abstract & cite →

Probability distribution CLT population interac-tive tool sampling distribution

Abstract doi.org/10.14569/IJACSA.2021.0120594 PDF

95

Improving the Effectiveness of e-Learning Processes through Dynamic Programming: A Survey

Author 1: Norah Alqahtani Author 2: Farrukh Nadeem

E-learning has been widely adopted as an important tool for distance education, especially in these days of pandemic Covid-19. However, several problems/challenges have been re-ported in different processes of e-learning that need to be ad-dressed for effective use of e-learning. These problems/challenges include development of student focused contents, giving learner… Read full abstract & cite →

e-learning e-learning challenge dynamic programming

Abstract doi.org/10.14569/IJACSA.2021.0120595 PDF

96

The Feasibility of Implementing a Secure C2C Credit Scoring Platform

Author 1: Mariam Musa Al- 0qabi Author 2: Wahid Rajeh

The continuous development of social media and online commerce, which permeates all aspects of our lives, leads to the need for a similar mechanism similar to the financial credit score in traditional business. Also, a realistic classification of users through social media to be used in all aspects of the… Read full abstract & cite →

Social media online commerce social credit sys-tem creditworthiness

Abstract doi.org/10.14569/IJACSA.2021.0120596 PDF

97

Extended Graph Convolutional Networks for 3D Object Classification in Point Clouds

Author 1: Sajan Kumar Author 2: Sai Rishvanth Katragadda Author 3: Ashu Abdul Author 4: V. Dinesh Reddy

Point clouds are a popular way to represent 3D data. Due to the sparsity and irregularity of the point cloud data, learning features directly from point clouds become complex and thus huge importance to methods that directly consume points. This paper focuses on interpreting the point cloud inputs using the… Read full abstract & cite →

Object classification graph convolution networks non-autonomous driving

Abstract doi.org/10.14569/IJACSA.2021.0120597 PDF

98

Techniques for Solving Shortest Vector Problem

Author 1: V. Dinesh Reddy Author 2: P. Ravi Author 3: Ashu Abdul Author 4: Mahesh Kumar Morampudi Author 5: Sriramulu Bojjagani

Lattice-based crypto systems are regarded as secure and believed to be secure even against quantum computers. lattice-based cryptography relies upon problems like the Shortest Vector Problem. Shortest Vector Problem is an instance of lattice problems that are used as a basis for secure cryptographic schemes. For more than 30 years… Read full abstract & cite →

Lattice SVP CVP post quantum cryptography

Abstract doi.org/10.14569/IJACSA.2021.0120598 PDF

99

Black-box Fuzzing Approaches to Secure Web Applications: Survey

Author 1: Aseel Alsaedi Author 2: Abeer Alhuzali Author 3: Omaimah Bamasag

Web applications are increasingly important tools in our modern daily lives, such as in education, business transac-tions, and social media. Because of their prevalence, they are becoming more susceptible to different types of attacks that exploit security vulnerabilities. Exploiting these vulnerabilities may cause damage to the web applications as well… Read full abstract & cite →

Black-box fuzzing web application security vulner-ability scanning automatic web app testing vulnerability detection survey

Abstract doi.org/10.14569/IJACSA.2021.0120599 PDF

100

Improved Trust Model to Enhance Availability in Private Cloud

Author 1: Vijay Kumar Damera Author 2: A Nagesh Author 3: M Nagaratna

In the process of cloud service selection, it is difficult for users to choose trusted, available, and reliable cloud services. A trust model is a perfect solution for this service selection problem. In cloud computing, data availability and reliability have always been major concerns. According to research, around$285 million is… Read full abstract & cite →

Trust trust model cloud availability reliability

Abstract doi.org/10.14569/IJACSA.2021.01205100 PDF

101

Supervised Learning-based Cancer Detection

Author 1: Juel Sikder Author 2: Utpol Kanti Das Author 3: Rana Jyoti Chakma

The segmentation, detection and extraction of the infected tumor from Magnetic Resonance Imaging (MRI) images are the key concerns for radiologists or clinical experts. But it is tedious and time consuming and its accuracy depends on their experience only. This paper suggest a new methodology segmentation, recognition, classification and detection… Read full abstract & cite →

Semantic segmentation CNN brain breast leukemia lung

Abstract doi.org/10.14569/IJACSA.2021.01205101 PDF

102

Analysis of the Use of Videoconferencing in the Learning Process During the Pandemic at a University in Lima

Author 1: Angie Del Rio-Chillcce Author 2: Luis Jara-Monge Author 3: Laberiano Andrade-Arenas

Due to the health emergency situation, which forced universities to stop using their centers as a means of teaching, many of them opted for virtual education. Affecting the learning process of students, which has predisposed many of them to become familiar with this new learning process, making the use of… Read full abstract & cite →

Digital tools health emergency universities video conferencing virtual education

Abstract doi.org/10.14569/IJACSA.2021.01205102 PDF

103

Network Forensics: A Comprehensive Review of Tools and Techniques

Author 1: Sirajuddin Qureshi Author 2: Saima Tunio Author 3: Faheem Akhtar Author 4: Ahsan Wajahat Author 5: Ahsan Nazir Author 6: Faheem Ullah

With the evolution and popularity of computer networks, a tremendous amount of devices are increasingly being added to the global internet connectivity. Additionally, more sophisticated tools, methodologies, and techniques are being used to enhance global internet connectivity. It is also worth men-tioning that individuals, enterprises, and corporate organizations are quickly… Read full abstract & cite →

Network forensics Tshark Dumpcap Wireshark OSCAR network security

Abstract doi.org/10.14569/IJACSA.2021.01205103 PDF

104

Cloud Computing in Remote Sensing: Big Data Remote Sensing Knowledge Discovery and Information Analysis

Author 1: Yassine SABRI Author 2: Fadoua Bahja Author 3: Aouad Siham Author 4: Aberrahim Maizate

With the rapid development of remote sensing technology, our ability to obtain remote sensing data has been improved to an unprecedented level. We have entered an era of big data. Remote sensing data clear showing the characteristics of Big Data such as hyper spectral, high spatial resolution, and high time… Read full abstract & cite →

Remote sensing data integration cloud computing big data

Abstract doi.org/10.14569/IJACSA.2021.01205104 PDF