IJACSA Vol. 12 Issue 2 (2021)

1

Model-driven Framework for Requirement Traceability

Author 1: Nader Kesserwan Author 2: Jameela Al-Jaroodi

In software development, requirements traceability is often mandated. It is important to apply to support various software development activities like result evaluation, regression testing and coverage analysis. Model-Driven Testing is one approach to provide a way to verify and validate requirements. However, it has many challenges in test generation in… Read full abstract & cite →

Requirements traceability model transformation do-178c model-driven testing traceability scheme

Abstract doi.org/10.14569/IJACSA.2021.0120201 PDF

2

Space Mining Robot Prototype for NASA Robotic Mining Competition Utilizing Systems Engineering Principles

Author 1: Tariq Tashtoush Author 2: Jesus A. Vazquez Author 3: Julian Herrera Author 4: Liliana Hernandez Author 5: Lisa Martinez Author 6: Michael E. Gutierrez Author 7: Osiris Escamilla Author 8: Rosaura E. Martinez Author 9: Alejandra Diaz Author 10: Jorge Jimenez Author 11: Jose Isaac Segura Author 12: Marcus Martinez

The 2017 National Aeronautics and Space Ad-ministration (NASA) Robotic Mining Competition (RMC) is an outstanding opportunity for engineering students to imple-ment all the knowledge and experience that they gained in the undergraduate years, in building a robot that will provide an intellectual insight to NASA, to develop innovative robotic excavation… Read full abstract & cite →

NASA robotic mining competition mining robot ice regolith autonomous NASA space exploration systems life-cycle mechanical structure design control system systems engineering software development

Abstract doi.org/10.14569/IJACSA.2021.0120202 PDF

3

Evaluating the Accuracy of Models for Predicting the Speech Acceptability for Children with Cochlear Implants

Author 1: Haewon Byeon

This study developed a model for predicting healthy hearing people’s speech acceptability for children with cochlear implants using multiple regression analysis, support vector regression, and random forest and evaluated the prediction performance of the model by comparing mean absolute errors and root mean squared errors. This study targeted 91 hearing-impaired… Read full abstract & cite →

Cochlear implants speech acceptability support vector regression random forest mean absolute errors

Abstract doi.org/10.14569/IJACSA.2021.0120203 PDF

4

Advanced Debugger for Arduino

Author 1: Jan Dolinay Author 2: Petr Dostálek Author 3: Vladimír Vašek

This article describes improved version of our source-level debugger for Arduino. The debugger can be used to debug Arduino programs using GNU debugger GDB with Eclipse or Visual Studio Code as the visual front-end. It supports all the functionally expected from a debugger such as stepping through the code, setting… Read full abstract & cite →

Arduino debugger microcontroller software debugging

Abstract doi.org/10.14569/IJACSA.2021.0120204 PDF

5

Transliterating Nôm Scripts into Vietnamese National Scripts using Statistical Machine Translation

Author 1: Dien Dinh Author 2: Phuong Nguyen Author 3: Long H. B. Nguyen

Nôm scripts were used as the Vietnamese writing system from the 10th century to the early 20th century. During this period, Nôm scripts were the means to record a broad range of historical events, literary works, medical knowledge, as well as wisdom of many other domains. Unfortunately, since hardly any… Read full abstract & cite →

Statistical machine translation automatic translit-eration Nôm Script (chú Nôm) vietnamese national script (chú Quèc ngú)

Abstract doi.org/10.14569/IJACSA.2021.0120205 PDF

6

Improve the Effectiveness of Image Retrieval by Combining the Optimal Distance and Linear Discriminant Analysis

Author 1: Phuong Nguyen Thi Lan Author 2: Tao Ngo Quoc Author 3: Quynh Dao Thi Thuy Author 4: Minh-Huong Ngo

In image retrieval with relevant feedback, classification and distance calculation have a great influence on image retrieval accuracy. In this paper, we propose an image retrieval method, called ODLDA (Image Retrieval using the optimal distance and linear discriminant analysis). The proposed method can effectively exploit user’s feedback from relevant and… Read full abstract & cite →

Content-based image retrieval deep learning similarity measures Mahalanobis metric distance linear discriminant analysis

Abstract doi.org/10.14569/IJACSA.2021.0120206 PDF

7

HADOOP: A Comparative Study between Single-Node and Multi-Node Cluster

Author 1: Elisabeta ZAGAN Author 2: Mirela DANUBIANU

Data analysis has become a challenge in recent years as the volume of data generated has become difficult to manage, therefore more hardware and software resources are needed to store and process this huge amount of data. Apache Hadoop is a free framework, widely used thanks to the Hadoop Distributed… Read full abstract & cite →

Hadoop HDFS single-node cluster multi-node cluster namenode secondary namenode datanodes jobtracker tasktrackers

Abstract doi.org/10.14569/IJACSA.2021.0120207 PDF

8

Technology in Education: Attitudes Towards using Technology in Nutrition Education

Author 1: Asrar Sindi Author 2: James Stanfield Author 3: Abdullah Sheikh

Digital technologies have influenced how teachers conduct the daily practice, and students learn in classrooms. In addition, technology is increasingly being deployed in the classroom environment via a combination of kinesthetics’, visual’s and auditory approaches. This paper aims to investigate teachers’ and students’ attitude towards using technology in nutritional education… Read full abstract & cite →

Technology application online games nutrition education

Abstract doi.org/10.14569/IJACSA.2021.0120208 PDF

9

Gender Differences in the Perception of a Student Information System

Author 1: Rana Alhajri Author 2: Ahmed Al-Hunaiyyan Author 3: Bareeq Alghannam Author 4: Abdullah Alshaher

There is growing recognition that electronic student information systems support college administrations and enhance student performance. These systems must fulfill their user’s needs by understanding gender differences among users. This study analyzes gender variations concerning the utilization of online student information systems (SIS), with its central concern being how the… Read full abstract & cite →

Gender differences student information system human-computer interaction usability user experience perceptions

Abstract doi.org/10.14569/IJACSA.2021.0120209 PDF

10

Student Information System: Investigating User Experience (UX)

Author 1: Ahmed Al-Hunaiyyan Author 2: Rana Alhajri Author 3: Bareeq Alghannam Author 4: Abdullah Al-Shaher

There is growing recognition that electronic student information systems support college administrations and enhance student performance. These systems must fulfill their user’s needs (efficiently achieve their academic goals) while also providing a positive user experience (UX). This study used quantitative and qualitative approaches to elucidate students’ perceptions and investigate UX… Read full abstract & cite →

Student information system user experience usability human-computer interaction e-learning

Abstract doi.org/10.14569/IJACSA.2021.0120210 PDF

11

Mitigating Denial of Service Signaling Threats in 5G Mobile Networks

Author 1: Raja Ettiane Author 2: Rachid EL Kouch

With the advent of 5th generation (5G) technology, the mobile paradigm witnesses a tremendous evolution involving the development of a plethora of new applications and services. This enormous technological growth is accompanied with an huge signaling overhead among 5G network elements, especially with emergence of massive devices connectivity. This heavy… Read full abstract & cite →

5G New Radio (NR) network Radio Resource Control (RRC) state model Denial of Service (DoS) signaling threats randomization

Abstract doi.org/10.14569/IJACSA.2021.0120211 PDF

12

Regulation Proposal for the Implementation of 5G Technology in Peru

Author 1: Luis Nunez-Tapia

Telecommunications play a very important role in people’s life, for years there has been an evolution of this technology in the mobile communications’ industry reaching up to the 5G technology, which is more advanced than 4G, making it thus more comfortable for the user. In Peru, 5G technology has not… Read full abstract & cite →

5G regulation antennas radio spectrum

Abstract doi.org/10.14569/IJACSA.2021.0120212 PDF

13

A Meta-analysis of Educational Data Mining for Predicting Students Performance in Programming

Author 1: Devraj Moonsamy Author 2: Nalindren Naicker Author 3: Timothy T. Adeliyi Author 4: Ropo E. Ogunsakin

An essential skill amid the 4th industrial revolution is the ability to write good computer programs. Therefore, higher education institutions are offering computer programming as a module not only in computer related programmes but other programmes as well. However, the number of students that underperform in programming is significantly higher… Read full abstract & cite →

Data mining educational data mining machine learning performance programming

Abstract doi.org/10.14569/IJACSA.2021.0120213 PDF

14

Adaptive Congestion Window Algorithm for the Internet of Things Enabled Networks

Author 1: Ramadevi Chappala Author 2: Ch.Anuradha Author 3: P. Sri Ram Chandra Murthy

Heterogeneous constrained computing resources in the Internet of Things (IoT) are communicated, collected, and share information from the environment using sensors and other high-speed technologies which generate tremendous traffic and lead to congestion in the Internet of Things (IoT) networks. This paper proposes an Adaptive Congestion Window (ACW) algorithm for… Read full abstract & cite →

Congestion window internet of things packet delivery ratio throughput

Abstract doi.org/10.14569/IJACSA.2021.0120214 PDF

15

AMBA: Adaptive Monarch Butterfly Algorithm based Information of Transfer Scheduling in Cloud for Big Information Application

Author 1: D. Sugumaran Author 2: C. R. Bharathi

In present days cloud computing is most famous innovation and has a great deal of research potential in different zones like allocation of resource, scheduling of data transfer, security as well as privacy and so on. Data transfer Scheduling is one of the significant issues for improving the proficiency of… Read full abstract & cite →

Information transfer scheduling AMBA throughput maximization migration operation

Abstract doi.org/10.14569/IJACSA.2021.0120215 PDF

16

Robotic Education in 21st Century: Teacher Acceptance of Lego Mindstorms as Powerful Educational Tools

Author 1: Mardhiah Masril Author 2: Ambiyar Author 3: Nizwardi Jalinus Author 4: Ridwan Author 5: Billy Hendrik

Acceptance of robotic technology in education is a crucial issue in the revolution industry 4.0 era. This study aims to explore the acceptance of Lego Mindstorms Ev3 as one kind of robotic technology by the teachers as a learning resources that can develop teachers and student’s skills. The Technology Acceptance… Read full abstract & cite →

Education TAM teacher acceptance Lego Robotic

Abstract doi.org/10.14569/IJACSA.2021.0120216 PDF

17

Simulation Study on Blood Flow Mechanism of Vein in Existence of Different Thrombus Size

Author 1: Nabilah Ibrahim Author 2: Nur Shazilah Aziz Author 3: Muhammad Kamil Abdullah Author 4: Gan Hong Seng

Blood velocity is expected to be as a parameter for detecting abnormality of blood such as the existence of thrombus. Proper blood flow in veins is important to ensure effective return of deoxygenated blood to the heart. However, it is much challenging to recognize the vessel condition due to the… Read full abstract & cite →

Blood velocity profile velocity contour plot computational fluid dynamic (CFD) thrombus vein valve

Abstract doi.org/10.14569/IJACSA.2021.0120217 PDF

18

Singer Gender Classification using Feature-based and Spectrograms with Deep Convolutional Neural Network

Author 1: Mukkamala S.N.V. Jitendra Author 2: Y. Radhika

The task of music information retrieval (MIR) is gaining much importance since the digital cloud is growing sparklingly. An important attribute of MIR is the singer-id, which helps effectively during the recommendation process. It is highly difficult to identify a singer in the case of music as the number of… Read full abstract & cite →

Gender identification spectrogram genetic algorithm-based feature selection (GAFS) music information retrieval (MIR) music recommendation and singer’s gender identification

Abstract doi.org/10.14569/IJACSA.2021.0120218 PDF

19

An Hybrid Approach for Cost Effective Prediction of Software Defects

Author 1: Satya Srinivas Maddipati Author 2: Malladi Srinivas

Identifying software defects during early stages of Software Development life cycle reduces the project effort and cost. Hence there is a lot of research done in finding defective proneness of a software module using machine learning approaches. The main problems with software defect data are cost effective and imbalance. Cost… Read full abstract & cite →

Cost effective problem principle component analysis adaptive neuro fuzzy inference system area under ROC curve

Abstract doi.org/10.14569/IJACSA.2021.0120219 PDF

20

Design of Modern Distributed Systems based on Microservices Architecture

Author 1: Isak Shabani Author 2: Endrit Mëziu Author 3: Blend Berisha Author 4: Tonit Biba

Distributed systems are very commonplace nowadays. They have seen an enormous growth in use during the past few years. The idea to design systems that are robust, scalable, reliable, secure and fault tolerance are some of the many reasons of this development and growth. Distributed systems provide a shift from… Read full abstract & cite →

Distributed systems microservice monolithic web services Jmeter

Abstract doi.org/10.14569/IJACSA.2021.0120220 PDF

21

Feature Engineering for Human Activity Recognition

Author 1: Basma A. Atalaa Author 2: Ibrahim Ziedan Author 3: Ahmed Alenany Author 4: Ahmed Helmi

Human activity recognition (HAR) techniques can significantly contribute to the enhancement of health and life care systems for elderly people. These techniques, which generally operate on data collected from wearable sensors or those embedded in most smart phones, have therefore attracted increasing interest recently. In this paper, a random forest-based… Read full abstract & cite →

Human activity recognition random forest feature engineering sensor signal processing

Abstract doi.org/10.14569/IJACSA.2021.0120221 PDF

22

Digitization of Supply Chains as a Lever for Controlling Cash Flow Bullwhip: A Systematic Literature Review

Author 1: Hicham Lamzaouek Author 2: Hicham Drissi Author 3: Naima El Haoud

Due to the new possibilities offered by digital technologies, more and more companies are embarking on a process of digitizing their supply chains. This dynamic seems to be the opportunity to analyse the impact that digital technologies may have on one of the phenomena that disrupt financial flows within supply… Read full abstract & cite →

Cash flow bullwhip digital technologies digitization supply chain cash flow bullwhip effect

Abstract doi.org/10.14569/IJACSA.2021.0120222 PDF

23

IoT System for Vital Signs Monitoring in Suspicious Cases of Covid-19

Author 1: John Amachi-Choqque Author 2: Michael Cabanillas-Carbonell

Currently the world is going through a pandemic caused by Covid-19, the World Health Organization recommends to stay isolated from the rest of the people. This research shows the development of a prototype based on the internet of things, which aims to measure three very important aspects: heart rate, blood… Read full abstract & cite →

Covid-19 vital signs internet of things NodeMCU IoT platform

Abstract doi.org/10.14569/IJACSA.2021.0120223 PDF

24

Factors Influencing Master Data Quality: A Systematic Review

Author 1: Azira Ibrahim Author 2: Ibrahim Mohamed Author 3: Nurhizam Safie Mohd Satar

Master data refers to the data that represents the core business of the organization, shared among different applications, departments, and organizations and most valued as the important asset to the organization. Despite the outward benefit of master data mainly in decision making and organization performance, the quality of master data… Read full abstract & cite →

Quality management total quality management data quality data quality management master data master data quality master data quality management systematic literature review

Abstract doi.org/10.14569/IJACSA.2021.0120224 PDF

25

Hybrid Feature Selection and Ensemble Learning Methods for Gene Selection and Cancer Classification

Author 1: Sultan Noman Qasem Author 2: Faisal Saeed

A promising research field in bioinformatics and data mining is the classification of cancer based on gene expression results. Efficient sample classification is not supported by all genes. Thus, to identify the appropriate genes that help efficiently distinguish samples, a robust feature selection method is needed. Redundancy in the data… Read full abstract & cite →

Microarray gene selection ensemble classification cancer classification gene expression

Abstract doi.org/10.14569/IJACSA.2021.0120225 PDF

26

Visibility and Ethical Considerations of Pakistani Universities Researchers on Google Scholar

Author 1: Muhammad Asghar Khan Author 2: Tariq Rahim Soomro

Maximizing visibility by using academic profiling sites is very crucial in the academic world to improve the readership of research papers published and constant evaluation of research quality. In this article, the authors focused on the visibility of Pakistani University scholars on Google Scholar (GS). An intelligent Web Bot (MAKGBOT)… Read full abstract & cite →

Google scholar research visibility Pakistani researchers ethical considerations web bot research in Pakistan

Abstract doi.org/10.14569/IJACSA.2021.0120226 PDF

27

Early Detection of Severe Flu Outbreaks using Contextual Word Embeddings

Author 1: Redouane Karsi Author 2: Mounia Zaim Author 3: Jamila El Alami

The purpose of automated health surveillance systems is to predict the emergence of a disease. In most cases, these systems use a text categorization model to classify any clinical text into a category corresponding to an illness. The problem arises when the target classes refer to diseases sharing multiple information… Read full abstract & cite →

ELMo SVM contextual word embeddings semantic term weighting health surveillance text classification

Abstract doi.org/10.14569/IJACSA.2021.0120227 PDF

28

An Enhanced Artificial Bee Colony: Naïve Bayes Technique for Optimizing Software Testing

Author 1: Palak Author 2: Preeti Gulia Author 3: Nasib Singh Gill

Software driven technology has become a part of life and the quality of software largely depends on the extent of effective testing performed during various phases of development. A wide range of nature inspired searching techniques are employed over years to automate the testing process and provide promising solutions to… Read full abstract & cite →

Software testing artificial bee colony swarm intelligence Naïve Bayes test case selection

Abstract doi.org/10.14569/IJACSA.2021.0120228 PDF

29

Intelligent Climate Control System inside a Greenhouse

Author 1: A Labidi Author 2: A. Chouchaine Author 3: A. Mami

An agricultural greenhouse is an environment to ensure intensive agricultural production. The favorable climatological conditions (temperature, lighting, humidity ...) for agricultural production must be reproduced in a non-natural way by controlling these parameters using several actuators (heating/air conditioning, ventilation, and humidifier/ dehumidifier). The objective of this study is to control… Read full abstract & cite →

Greenhouse climate humidity fuzzy logic controller humidification dehumidification

Abstract doi.org/10.14569/IJACSA.2021.0120229 PDF

30

Selection of Social Media Applications for Ubiquitous Learning using Fuzzy TOPSIS

Author 1: Caitlin Sam Author 2: Nalindren Naicker Author 3: Mogiveny Rajkoomar

The exponential advancements in Information and Communications Technology has led to its prevalence in education, especially with the arrival of COVID-19. Ubiquitous learning (u-learning) is everyday learning that happens irrespective of time and place and it is enabled by m-learning, e-learning, and social computing such as social media. Due to… Read full abstract & cite →

Social media applications Ubiquitous learning fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Multiple criteria decision-making tools

Abstract doi.org/10.14569/IJACSA.2021.0120230 PDF

31

Nonlinear Rainfall Yearly Prediction based on Autoregressive Artificial Neural Networks Model in Central Jordan using Data Records: 1938-2018

Author 1: Suhail Sharadqah Author 2: Ayman M Mansour Author 3: Mohammad A Obeidat Author 4: Ramiro Marbello Author 5: Soraya Mercedes Perez

Jordan is suffering a chronicle water resources shortage. Rainfall is the real input for all water resources in the country. Acceptable accuracy of rainfall prediction is of great importance in order to manage water resources and climate change issues. The actual study include the analysis of time series trends of… Read full abstract & cite →

Jordan rainfall distribution time series analyses Levenberg-Marquardt algorithm climate change

Abstract doi.org/10.14569/IJACSA.2021.0120231 PDF

32

Fungal Blast Disease Detection in Rice Seed using Machine Learning

Author 1: Raj Kumar Author 2: Gulsher Baloch Author 3: Pankaj Author 4: Abdul Baseer Buriro Author 5: Junaid Bhatti

The economy of Pakistan mainly relies upon agriculture alongside other vital industries. Fungal blast is one of the significant plant diseases found in rice crops, leading to reduction of agricultural products and hindrance in the country's economic development. Plant disease detection is an initial step towards improving the yield and… Read full abstract & cite →

Fungal blast machine learning support vector machine (SVM) logistic regression decision tree Naïve Bayes random forest linear discriminant analysis (LDA) principal component analysis (PCA) image acquisition pre-processing feature extraction F1-Score convolutional classifier deep learning

Abstract doi.org/10.14569/IJACSA.2021.0120232 PDF

33

Investigation of Factors Affecting Employee Satisfaction of IT Sector

Author 1: Eiman Tamah Al-Shammari

Job satisfaction or employee satisfaction has various definitions, but we can generalize it by how gratified an individual is with his or her job. Happy employees help to strengthen the company by lowering turnover and increasing loyalty. Job satisfaction also promotes a healthy working environment that helps to attract talent… Read full abstract & cite →

Job satisfaction IT sector productivity intangible benefits communication

Abstract doi.org/10.14569/IJACSA.2021.0120233 PDF

34

Fuzzy based Search in Motion Estimation for Real Time Video Compression

Author 1: Upendra Kumar Srivastava Author 2: Rakesh Kumar Yadav

Video compression ratio, quality and efficiency are determined by the motion estimation algorithm. Motion estimation is used to perform inter frame prediction in video sequences. The individual frames are divided into blocks the motion estimation is computed by a video codec such as H.264. A video codec computes the displacement… Read full abstract & cite →

Fuzzy logic motion estimation compression current frame reference frame predicted frame

Abstract doi.org/10.14569/IJACSA.2021.0120234 PDF

35

Using Blockchain based Authentication Solution for the Remote Surgery in Tactile Internet

Author 1: Tarik HIDAR Author 2: Anas ABOU EL KALAM Author 3: Siham BENHADOU Author 4: Oussama MOUNNAN

Since the Tactile Internet has been considered as a new era of Internet, delivering real-time interactive systems as well as ultra-reliable and ultra-responsive network connectivity, tremendous efforts have been made to ensure authentication between communication’s parties to secure remote surgery. Since this human to machine interaction like remote surgery is… Read full abstract & cite →

Tactile internet blockchain human to machine interaction authentication remote surgery

Abstract doi.org/10.14569/IJACSA.2021.0120235 PDF

36

PHY-DTR: An Efficient PHY based Digital Transceiver for Body Coupled Communication using IEEE 802.3 on FPGA Platform

Author 1: Sujaya B. L Author 2: S.B. Bhanu Prashanth

Body coupled communication (BCC) is an efficient networking approach to body area network (BAN) based on Human-centric communication. The BCC provides interference only between humans in very close proximity. In this work, an efficient Physical layer (PHY) based digital transceiver) is designed for BCC. The digital transceiver Module mainly contains… Read full abstract & cite →

Body coupled communication physical layer digital FPGA radiofrequency human body

Abstract doi.org/10.14569/IJACSA.2021.0120236 PDF

37

Towards an Ontological Learner’s Modeling During and After the COVID-19 Pandemic

Author 1: Amina OUATIQ Author 2: Kamal El Guemmat Author 3: Khalifa Mansouri Author 4: Mohammed Qbadou

The health crisis and the unprecedented upheaval in the education systems which it caused are far from being over, consequently, the adaptation of the learning experience is most needed, and it should take into consideration the criteria of this specific crisis and its impact on the physical and mental health… Read full abstract & cite →

Learner model personalization adaptive learning ontology COVID-19

Abstract doi.org/10.14569/IJACSA.2021.0120237 PDF

38

A Survey on Dental Imaging for Building Classifier to Benefit the Dental Implant Practitioners

Author 1: Shashikala J Author 2: Thangadurai N

Endo-osseous implants are considered an ideal dental fixture. It is becoming the preferred choice of the edentulous patient to rehabilitate toothlessness because of their aesthetic and functional outcome. Despite the successful surgery and implant placement, complications occur, which may be related to several factors, like operative assessment, treatment planning, patient-related… Read full abstract & cite →

Dental implant complication implant failure dental imaging pre-processing

Abstract doi.org/10.14569/IJACSA.2021.0120238 PDF

39

Emerging Line of Research Approach in Precision Agriculture: An Insight Study

Author 1: Vanishree K Author 2: Nagaraja G S

The present state of agriculture and its demand is very much different than what it used to be two decades back. Hence, Precision Agriculture (PA) is more in demand to address this challenging demand. With consistent pressure to develop multiple products over the same agricultural land, farmers find PA’s adoption… Read full abstract & cite →

Precision agriculture smart farming wireless sensor network internet-of-things remote sensing variable rate technology

Abstract doi.org/10.14569/IJACSA.2021.0120239 PDF

40

Optimal Power Allocation in Downlink Non-Orthogonal Multiple Access (NOMA)

Author 1: Wajd Fahad Alghasmari Author 2: Laila Nassef

Fifth generation of wireless cellular networks promise to enable better services anytime and anywhere. Non-orthogonal multiple access (NOMA) stands as a suitable multiple accessing scheme due to the ability to allow multiple users to share the same radio resource simultaneously via different domains (power, code, etc.). Through the introduced power… Read full abstract & cite →

Non-orthogonal multiple access power allocation genetic algorithm user pairing

Abstract doi.org/10.14569/IJACSA.2021.0120240 PDF

41

Comparing the Accuracy and Developed Models for Predicting the Confrontation Naming of the Elderly in South Korea using Weighted Random Forest, Random Forest, and Support Vector Regression

Author 1: Haewon Byeon

Since dementia patients clearly show the retrogression of linguistic ability from the early stage, evaluating cognitive and language abilities is very important when diagnosing dementia. Among them, naming is an essential item (sub-test) that is always included in the dementia-screening test. This study developed confrontation naming prediction models using support… Read full abstract & cite →

Confrontation naming generative naming support vector regression random forest weighted random forest

Abstract doi.org/10.14569/IJACSA.2021.0120241 PDF

42

Towards the Development of Computational Thinking and Mathematical Logic through Scratch

Author 1: Benjamín Maraza-Quispe Author 2: Ashtin Maurice Sotelo-Jump Author 3: Olga Melina Alejandro-Oviedo Author 4: Lita Marianela Quispe-Flores Author 5: Lenin Henry Cari-Mogrovejo Author 6: Walter Cornelio Fernandez-Gambarini Author 7: Luis Ernesto Cuadros-Paz

Currently the need to provide quality education to future generations has led to the development of new teaching methodologies, within this fact the tools provided by information technologies have been positioned as the future of learning, in this sense, the learning to program is no longer considered a selective skill… Read full abstract & cite →

Scratch computational thinking logic reasoning teaching

Abstract doi.org/10.14569/IJACSA.2021.0120242 PDF

43

Survey of Centralized and Decentralized Access Control Models in Cloud Computing

Author 1: Suzan Almutairi Author 2: Nusaybah Alghanmi Author 3: Muhammad Mostafa Monowar

In recent years, cloud computing has become a popular option for a number of different businesses sectors. It is a paradigm employed to deliver a range of computing services, such as sharing resources via the Internet. Security issues in cloud computing necessitates the need for a mechanism to keep the… Read full abstract & cite →

Cloud computing access control cloud security centralized decentralized

Abstract doi.org/10.14569/IJACSA.2021.0120243 PDF

44

An Efficient Color LED Driver based on Self-Configuration Current Mirror Circuit

Author 1: Shaheer Shaida Durrani Author 2: Abu Zaharin Bin Ahmad Author 3: Bakri Bin Hassan Author 4: Atif Sardar Khan Author 5: Asif Nawaz Author 6: Naveed Jan Author 7: Rehan Ali Khan Author 8: Rohi Tariq Author 9: Ahmed Ali Shah Author 10: Tariq Bashir Author 11: Zia Ullah Khan Author 12: Sheeraz Ahmed

The string channel of Color LED driver with precise current balancing is proposed. It is noted that to drive a multiple LEDs string is by using a proper current source, due to the level of the brightness LED depends on the quantity of the current flows. In the production of… Read full abstract & cite →

Color LED driver current mirror circuit super diode

Abstract doi.org/10.14569/IJACSA.2021.0120244 PDF

45

Prediction of Sunspots using Fuzzy Logic: A Triangular Membership Function-based Fuzzy C-Means Approach

Author 1: Muhammad Hamza Azam Author 2: Mohd Hilmi Hasan Author 3: Said Jadid Abdul Kadir Author 4: Saima Hassan

Fuzzy logic is an algorithm that works on “degree of truth”, instead of the conventional crisp logic where the possible answer can be 1 or 0. Fuzzy logic resembles human thinking as it considers all the possible outcomes between 1 and 0 and it tries to reflect reality. Generation of… Read full abstract & cite →

Fuzzy logics fuzzy c-means (FCM) Gaussian membership function prediction sunspots triangular membership function

Abstract doi.org/10.14569/IJACSA.2021.0120245 PDF

46

Optimum Spatial Resolution of Satellite-based Optical Sensors for Maximizing Classification Performance

Author 1: Kohei Arai

Optimum spatial resolution of satellite based optical sensors for maximizing classification performance is investigated. Also, classification performance assessment method considering spatial resolution of satellite based optical imagers is proposed. Optimum spatial resolution which makes the highest classification accuracy is determined from spatial frequency components, spectral features of objects and classification… Read full abstract & cite →

Spectral information spatial information maximum likelihood decision rule satellite image image classification mixed pixel (Mixels) optimum spatial resolution classification performance spatial and spectral features

Abstract doi.org/10.14569/IJACSA.2021.0120246 PDF

47

Disruptive Technologies for Labor Market Information System Implementation Enhancement in the UAE: A Conceptual Perspective

Author 1: Ghada Goher Author 2: Maslin Masrom Author 3: Astuty Amrin Author 4: Noorlizawati Abd Rahim

In December 2019, the world learned about the first outbreak of the novel coronavirus (COVID-19) that first broke out in Wuhan, China. This limited outbreak in a small province of China has rapidly evolved into a global pandemic that has led to a health and economic crisis. As millions of… Read full abstract & cite →

Disruptive technologies labor market information systems skills and educational mismatch future of work system engineering system design thinking COVID-19

Abstract doi.org/10.14569/IJACSA.2021.0120247 PDF

48

Exploratory Study of Some Machine Learning Techniques to Classify the Patient Treatment

Author 1: Mujiono Sadikin Author 2: Ida Nurhaida Author 3: Ria Puspita Sari

Numerous studies have been carried out on computation and its applications to medical data with proven benefits for improving the quality of public health. However, not all research results or practical applications can be applied to all conditions but must be in accordance with the various contexts such as community… Read full abstract & cite →

Electronic health record XGBoost patient treatment patient laboratory test data

Abstract doi.org/10.14569/IJACSA.2021.0120248 PDF

49

Sentiment Analysis using Social and Topic Context for Suicide Prediction

Author 1: E. Rajesh Kumar Author 2: K.V.S.N. Rama Rao

In many fields, analysing large user-generated microblogs is very crucial and drawing many researchers to study. However, processing such short and noisy microblogs is very difficult and challenging. Most prior studies use only texts to find the polarity of sentiment and presume that microblog site is independent and distributed identically… Read full abstract & cite →

Social context topic context microblogging Laplacian matrix emotional and sentimental

Abstract doi.org/10.14569/IJACSA.2021.0120249 PDF

50

A DNA Cryptographic Solution for Secured Image and Text Encryption

Author 1: Bahubali Akiwate Author 2: Latha Parthiban

In recent days, DNA cryptography is gaining more popularity for providing better security to image and text data. This paper presents a DNA based cryptographic solution for image and textual information. Image encryption involves scrambling at pixel and bit levels based on hyperchaotic sequences. Both image and text encryption involves… Read full abstract & cite →

DNA cryptography image encryption text encryption DNA digital coding DNA sequences

Abstract doi.org/10.14569/IJACSA.2021.0120250 PDF

51

Smart Control System for Smart City using IoT

Author 1: Parasa Avinash Author 2: B Krishna Vamsi Author 3: Thumu Srilakshmi Author 4: P V V Kishore

As technologies are introducing and improving day by day, there is a tremendous change in the applications like “Smart City”. The Internet of Things (IoT) is the best approach to combine various Sensors with Embedded devices to create solutions for the real time problems and this will help us to… Read full abstract & cite →

Internet Society Attention-Grabbing Networking Enabling Technologies Connectivity Models IP Address ADAFRUIT Embedded Systems

Abstract doi.org/10.14569/IJACSA.2021.0120251 PDF

52

Public Sentiment Analysis on Twitter Data during COVID-19 Outbreak

Author 1: Mohammad Abu Kausar Author 2: Arockiasamy Soosaimanickam Author 3: Mohammad Nasar

The COVID-19 pandemic, is also known as the coronavirus pandemic, is an ongoing serious global problem all over the world. The outbreak first came to light in December 2019 in Wuhan, China. This was declared pandemic by the World Health Organization on 11th March 2020. COVID-19 virus infected on people… Read full abstract & cite →

COVID-19 corona virus corona pandemic social media sentiment analysis Twitter

Abstract doi.org/10.14569/IJACSA.2021.0120252 PDF

53

The Enrichment of Texture Information to Improve Optical Flow for Silhouette Image

Author 1: Bedy Purnama Author 2: Mera Kartika Delimayanti Author 3: Kunti Robiatul Mahmudah Author 4: Fatma Indriani Author 5: Mamoru Kubo Author 6: Kenji Satou

Recent advances in computer vision with machine learning enabled detection, tracking, and behavior analysis of moving objects in video data. Optical flow is fundamental information for such computations. Therefore, accurate algorithm to correctly calculate it has been desired long time. In this study, it was focused on the problem that… Read full abstract & cite →

Optical flow silhouette image artificial increase of texture information

Abstract doi.org/10.14569/IJACSA.2021.0120253 PDF

54

Verb Sense Disambiguation by Measuring Semantic Relatedness between Verb and Surrounding Terms of Context

Author 1: Arpita Dutta Author 2: Samir Kumar Borgohain

Word sense disambiguation (WSD) is considered an AI complete problem which may be defined as the ability to resolve the intended meaning of ambiguous words occurring in a language. Language has complex structure and is highly ambiguous which has deep rooted relations between its different components specifically words, sentences and… Read full abstract & cite →

Word sense disambiguation ambiguous verb context semantic space latent semantic analysis polysemy machine translation

Abstract doi.org/10.14569/IJACSA.2021.0120254 PDF

55

Water Level Monitoring and Control System in Elevated Tanks to Prevent Water Leaks

Author 1: Christian Baldeon-Perez Author 2: Brian Meneses-Claudio Author 3: Alexi Delgado

The shortage of water is recurrent in Lima, Perú and in the world, either due to natural disasters, deficiency in pipes due to age, or breakages by external agents such as heavy trucks, heavy machinery, etc., which damage to the underground pipes causing flooding and, shortages in the affected area… Read full abstract & cite →

Arduino ultrasonic sensor stockouts algorithm monitoring and control water leaks elevated tanks

Abstract doi.org/10.14569/IJACSA.2021.0120255 PDF

56

An Evaluation of the Localization Quality of the Arabic Versions of Learning Management Systems

Author 1: Abdulfattah Omar

The recent years have witnessed the development of numerous Learning Management Systems (LMSs) to address the increasing needs of individuals and institutions all over the world. For accessibility and commercial purposes, many of these LMSs are released in different languages using what is known as localization systems. In this regard… Read full abstract & cite →

Ambiguity Arabic language inconsistencies Learning Management Systems (LMSs) localization quality

Abstract doi.org/10.14569/IJACSA.2021.0120256 PDF

57

Comparative Analysis of the Impact on Air Quality Due to the Operation of La Oroya Metallurgical Complex using the Grey Clustering Method

Author 1: Alexi Delgado Author 2: Luis Vasquez Author 3: Luis Espinoza Author 4: Manuel Mejía Author 5: Erick Yauri Author 6: Chiara Carbajal Author 7: Enrique Lee Huamaní

Air pollution is one of the biggest problems worldwide due to the increase of burning of fossil fuels by industries around the world. In the present work, the air quality study will be carried out with the grey clustering method, since the data obtained presents a certain level of uncertainty… Read full abstract & cite →

Air quality assessment Grey clustering method particulate matter (PM10) sulfur dioxide (SO2)

Abstract doi.org/10.14569/IJACSA.2021.0120257 PDF

58

Deep Wavelet Neural Network based Robust Text Recognition for Overlapping Characters

Author 1: Neha Tripathi Author 2: Pushpinder Singh Patheja

This paper presents a deep learning based intelligent text recognition system with touching and overlapped characters. The robustness and effectiveness in the proposed model are enhanced through the modified configuration of neural network known as Deep Wavelet Neural Network (DWNN). The capability of deep learning networks to learn efficiently from… Read full abstract & cite →

Text recognition overlapped characters deep wavelet neural network feature extraction segmentation basis function optical character recognition

Abstract doi.org/10.14569/IJACSA.2021.0120258 PDF

59

Performance Improvement of Network Coding for Heterogeneous Data Items with Scheduling Algorithms in Wireless Broadcast

Author 1: Romana Rahman Ema Author 2: Md. Alam Hossain Author 3: Nazmul Hossain Author 4: Syed Md. Galib Author 5: Md. Shafiuzzaman

This is the age of information. Now-a-days everyone communicates with each other by means of digital systems. Humans are always communicating with each other on the go. On-demand broadcasting is an efficient way to broadcast information according to user requests. In an on-demand broadcasting network, anyone can satisfy multiple clients… Read full abstract & cite →

Network coding scheduling algorithms CR graph wireless broadcast simulation LTSF STOBS performance metric

Abstract doi.org/10.14569/IJACSA.2021.0120259 PDF

60

Optimality Assessments of Classifiers on Single and Multi-labelled Obstetrics Outcome Classification Problems

Author 1: Udoinyang G. Inyang Author 2: Samuel A. Robinson Author 3: Funebi F. Ijebu Author 4: Ifiok J. Udo Author 5: Chuwkudi O. Nwokoro

It is indisputable that clinicians cannot exactly state the outcome of pregnancies through conventional knowledge and methods even as the surge in human knowledge continues. Hence, several computational techniques have been adapted for precise pregnancy outcome (PO) prediction. Obstetric datasets for PO determination exist as single label learning (SLL), multi-label… Read full abstract & cite →

Pregnancy outcome random forest multi-label learning comparative analytics machine learning algorithms single label learning maternal outcome prediction decision tree

Abstract doi.org/10.14569/IJACSA.2021.0120260 PDF

61

Pixel Value Difference based Face Recognition for Mitigation of Secret Message Detection

Author 1: Alaknanda S. Patil Author 2: G. Sundari

Data security is an important aspect of the modern digital world. Authentication is necessary for the prevention of data from intruders and hackers. Most of the existing system uses textual password which can provide only single-layer security. The textual passwords are simple but they may prone to spyware as well… Read full abstract & cite →

Audio Face recognition Information Security LSB Steganography Video

Abstract doi.org/10.14569/IJACSA.2021.0120261 PDF

62

Machine Learning based Optimization Scheme for Detection of Spam and Malware Propagation in Twitter

Author 1: Savita Kumari Sheoran Author 2: Partibha Yadav

Social networking sites are new generation of web-services providing global community of users in an online environment. Twitter is one of such popular social networks having more than 152 million daily active users making a half billions of tweets per day. Owing to its immense popularity, the accounts of legitimate… Read full abstract & cite →

Social networking sites Twitter spam malware Cosine similarity Jaccard similarity genetic algorithm artificial neural network

Abstract doi.org/10.14569/IJACSA.2021.0120262 PDF

63

Secure Intruder Information Sharing in Wireless Sensor Network for Attack Resilient Routing

Author 1: Venkateswara Rao M Author 2: Srinivas Malladi

Securing the routing process against attacks in wireless sensor network (WSN) is a vital factor to ensure the reliability of the network. In the existing system, a secure attack resilient routing for WSN using zone-based topology is proposed against message drops, message tampering and flooding attacks. The secure attack resilient… Read full abstract & cite →

Flooding malicious zone network overhead overhearing rate packet delivery ratio

Abstract doi.org/10.14569/IJACSA.2021.0120263 PDF

64

Mobile Technologies’ Utilization and Competency among College Students

Author 1: Mokhtar Hood Bindhorob Author 2: Khaled Salmen Aljaaidi

The focus of this study is to (1) determine the level of mobile technologies’ utilization and competency and (2) report separately the level of basic operation, communication and collaboration, information Seeking, digital citizenship and creativity and innovation skills in mobile technologies among first year undergraduate students in College of Computer… Read full abstract & cite →

Mobile technologies utilization competency college students

Abstract doi.org/10.14569/IJACSA.2021.0120264 PDF

65

Infrastructure Study for Solving Connectivity Problems Through the Nile River

Author 1: Noha Kamal Author 2: Ibrahim Gomaa

Fiber optics cables present various benefits over regular cables when used as a data transportation medium in today’s communication networks. It is noted that there are significant challenges in the connectivity of inner cities that are located far inland away from the coastal areas. Most of the networks developed in… Read full abstract & cite →

Communications optical fiber cables delft3d underwater / river crossing cable

Abstract doi.org/10.14569/IJACSA.2021.0120265 PDF

66

A Meta Analysis of Attention Models on Legal Judgment Prediction System

Author 1: G. Sukanya Author 2: J.Priyadarshini

Artificial Intelligence in legal research is transforming the legal area in manifold ways. Pendency of court cases is a long-lasting problem in the judiciary due to various reasons such as lack of judges, lack of technology in legal services and the legal loopholes. The judicial system has to be more… Read full abstract & cite →

Legal judgment prediction hierarchical attention neural network text processing transformer

Abstract doi.org/10.14569/IJACSA.2021.0120266 PDF

67

Development of a Virtual Pet Simulator for Pain and Stress Distraction for Pediatric Patients using Intelligent Techniques

Author 1: Angie Solis-Vargas Author 2: Iam Contreras-Alcázar Author 3: Jose Sulla-Torres

Pediatric medical procedures are often stressful and painful for children, so they can resist and make the work of doctors and nurses a little more complicated. This research aims to develop a virtual pet simulator to distract pediatric patients from pain and stress using smart techniques. The methodology used is… Read full abstract & cite →

Virtual pet pediatric patients pain stress smart techniques A-star algorithm flocking algorithm

Abstract doi.org/10.14569/IJACSA.2021.0120267 PDF

68

Identifying Communication Issues Contributing to the Formation of Chaotic Situation: An AGSD View

Author 1: Hina Noor Author 2: Babur Hayat Malik Author 3: Zeenat Amjad Author 4: Mahek Hanif Author 5: Sehrish Tabussum Author 6: Rahat Mansha Author 7: Kinza Mubasher

The software can be constructed in many different contexts using various approaches to software creation, Software Development (GSD), Agile Software Development (ASD) and Agile Global Software Development (AGSD) in an ecumenically distributed way (a coalescence of GSD and ASD). This GSD (Global Engenderment of Software) is becoming increasingly important. Although… Read full abstract & cite →

Chaotic situation chaos issues communication agile distributed software development global distributed software development communication challenges AGSD

Abstract doi.org/10.14569/IJACSA.2021.0120268 PDF

69

Urban Addressing Practices and Geocoding Algorithm Validity in Developing Countries

Author 1: Mohamed El Imame MALAAININE Author 2: Hatim LECHGAR

Addressing systems have a key role in understanding and managing economic connections and social conditions, especially in urban territories. Developing countries need to learn from previous experiences and adapt solutions and techniques to their local contexts. A review of the world bank’s experience in addressing cities in Africa during the… Read full abstract & cite →

Addressing system geocoding Geographic Information System (GIS)

Abstract doi.org/10.14569/IJACSA.2021.0120269 PDF

70

A Self Supervised Defending Mechanism Against Adversarial Iris Attacks based on Wavelet Transform

Author 1: Meenakshi K Author 2: G. Maragatham

In biometric applications, deep neural networks have presented significant improvements. However, when presenting carefully designed input training data known as adversarial examples, their output is severely reduced. These types of attacks are termed as adversarial attacks, and any biometric security system is greatly affected by these attacks. In the proposed… Read full abstract & cite →

Iris classification deep neural networks adversarial attack defense method wavelet processing biometrics

Abstract doi.org/10.14569/IJACSA.2021.0120270 PDF

71

Acquisition of Positional Accuracy with Comparative Analysis of GPS and EGNOS in Urban Constituency

Author 1: Zeeshan Ali Author 2: Riaz Ahmed Soomro Author 3: Faisal Ahmed Dahri Author 4: Muhammad Mujtaba Shaikh

Over the years, precise positioning has been the ultimate goal for Satellite Navigation Systems. The American Global Navigation Satellite System deliver the position and time information intended for various sectors such as vehicle tracking, oil exploration, atmospheric studies, astronomical telescope pointing, airport and harbor security tracking etc. Corresponding technological competitors… Read full abstract & cite →

Differential GPS augmentation EGNOS EDAS on-board equipment urban and positional accuracy

Abstract doi.org/10.14569/IJACSA.2021.0120271 PDF

72

Review of Public Procurement Fraud Detection Techniques Powered by Emerging Technologies

Author 1: Nikola Modrušan Author 2: Kornelije Rabuzin Author 3: Leo Mršic

Numerous studies and various methods have been used to detect and prevent corruption in public procurement. With the development of IT technology and thus the digitization of the Public Procurement Process (PPP), the amount of available data is increasing. Studies have shown progress in this area and have revealed many… Read full abstract & cite →

Public procurement fraud detection techniques corruption detection fraud detection review fraud data source

Abstract doi.org/10.14569/IJACSA.2021.0120272 PDF

73

Mobile-based Decision Support System for Poultry Farmers: A Case of Tanzania

Author 1: Martha Shapa Author 2: Lena Trojer Author 3: Dina Machuve

Poultry farms in Tanzania are characterized by inadequate management practices which are mainly caused by the lack of adequate systems to guide the small-scale poultry farmers in decision making. It is well-established that information is a key factor in making effective decisions in numerous sectors including poultry farming. Furthermore, various… Read full abstract & cite →

Decision support system chatbot mobile application poultry farming data-driven approach

Abstract doi.org/10.14569/IJACSA.2021.0120273 PDF

74

Using Behaviour-driven Requirements Engineering for Establishing and Managing Agile Product Lines

Author 1: Heba Elshandidy Author 2: Sherif Mazen Author 3: Ehab Hassanein Author 4: Eman Nasr

Requirements engineering in agile product line engineering refers to both common and variability components establishing a software. Although it is conventional for the requirements engineering to take place in a dedicated upfront domain analysis phase, agile-based environments denounce such a proactive behaviour. This paper provides an observational study examining a… Read full abstract & cite →

Agile product line engineering behaviour-driven requirements engineering observational study requirements engineering

Abstract doi.org/10.14569/IJACSA.2021.0120274 PDF

75

Detecting Generic Network Intrusion Attacks using Tree-based Machine Learning Methods

Author 1: Yazan Ahmad Alsariera

The development Intrusion Detection System (IDS) has a solid impact in mitigating against internal and external cyber threats among other cybersecurity methods. The machine learning-based method for IDS has proven to be an effective approach to detecting either anomaly or multiple classes of intrusion. For the detection of various types… Read full abstract & cite →

Generic attack decision trees cybersecurity intrusion detection

Abstract doi.org/10.14569/IJACSA.2021.0120275 PDF

76

An Extensive Analysis of the Vision-based Deep Learning Techniques for Action Recognition

Author 1: Manasa R Author 2: Ritika Shukla Author 3: Saranya KC

Action recognition involves the idea of localizing and classifying actions in a video over a sequence of frames. It can be thought of as an image classification task extended temporally. The information obtained over the multitude of frames is aggregated to comprehend the action classification output. Applications of action recognition… Read full abstract & cite →

Action recognition deep learning vision sensors convolution neural networks (CNN) recurrent neural networks (RNN) action classification temporal action detection spatiotemporal action detection

Abstract doi.org/10.14569/IJACSA.2021.0120276 PDF

77

Evaluation of Sentiment Analysis based on AutoML and Traditional Approaches

Author 1: K. T.Y. Mahima Author 2: T.N.D.S.Ginige Author 3: Kasun De Zoysa

AutoML or Automated Machine Learning is a set of tools to reduce or eliminate the necessary skills of a data scientist to build machine learning or deep learning models. Those tools are able to automatically discover the machine learning models and pipelines for the given dataset within very low interaction… Read full abstract & cite →

Automated machine learning sentiment analysis deep learning machine learning

Abstract doi.org/10.14569/IJACSA.2021.0120277 PDF

78

Detecting Hate Speech using Deep Learning Techniques

Author 1: Chayan Paul Author 2: Pronami Bora

Social networking sites saw a steep rise in terms of number of users in last few years. As a result of this, the interaction among the users also increased considerably. Along with these posting racial comments based on cast, race, gender, religion, etc. also increased. This propagation of negative messages… Read full abstract & cite →

Bi-directional Long Short Term Memory (Bi-LSTM) deep learning hate speech Long Short Term Memory (LSTM) text classification

Abstract doi.org/10.14569/IJACSA.2021.0120278 PDF

79

Design and Implementation of a Strong and Secure Lightweight Cryptographic Hash Algorithm using Elliptic Curve Concept: SSLHA-160

Author 1: Bhaskar Prakash Kosta Author 2: Pasala Sanyasi Naidu

Cryptographic hash function assumes a fundamental job in numerous pieces of cryptographic algorithm and conventions, particularly in authentication, non-repudiation and information trustworthiness administrations. A cryptographic hash work takes a commitment of optional tremendous size message and conveys a fixed little size hash code as a yield. In the proposed work… Read full abstract & cite →

Cryptography hash function message digests authentication elliptic curve concepts

Abstract doi.org/10.14569/IJACSA.2021.0120279 PDF

80

Heart Diseases Prediction for Optimization based Feature Selection and Classification using Machine Learning Methods

Author 1: N. Rajinikanth Author 2: L. Pavithra

Globally, heart disease is considered to be the major cause of death. As per statistics, 17.9 million people are losing their lives every year worldwide. Chronic Kidney Disease (CKD) and Breast Cancer takes the next positions in the list. Disease classification is an important issue that needs more attention now… Read full abstract & cite →

Teaching learning based optimization kernel density support vector machine k-nearest neighbour ensemble learning

Abstract doi.org/10.14569/IJACSA.2021.0120280 PDF

81

Face Recognition based on Convolution Neural Network and Scale Invariant Feature Transform

Author 1: Jamilah ALAMRI Author 2: Rafika HARRABI Author 3: Slim BEN CHAABANE

Recently, Face Recognition (FR) has been received wide attention from both the research community and the cyber security industrial companies. Low accuracy of recognition is considered a main challenge when it comes to talking about employing the Artificial Intelligence (AI) for FR. In this work, the Scale Invariant Feature Transform… Read full abstract & cite →

Face recognition training testing CNN SIFT accuracy classifier

Abstract doi.org/10.14569/IJACSA.2021.0120281 PDF

82

Regression Test Case Prioritization: A Systematic Literature Review

Author 1: Ali Samad Author 2: Hairulnizam Mahdin Author 3: Rafaqut Kazmi Author 4: Rosziati Ibrahim

The techniques associated with the Test Case Prioritization (TCP) are used to reduce the cost of regression testing to achieve the objectives that the modifications in the target code would not impact the functionality of updated software. The effectiveness of the TCP is measured based on the cost, the code… Read full abstract & cite →

Software testing regression testing test case prioritization cost code coverage fault detection ability

Abstract doi.org/10.14569/IJACSA.2021.0120282 PDF

83

A Complexity Survey on Density based Spatial Clustering of Applications of Noise Clustering Algorithms

Author 1: Boulchahoub Hassan Author 2: Rachiq Zineb Author 3: Labriji Amine Author 4: Labriji Elhoussine

Data Clustering is an interesting field of unsupervised learning that has been extensively used and discussed over several research papers and scientific studies. It handles several issues related to data analysis by grouping similar entities into the same set. Up to now, many algorithms were developed for clustering using several… Read full abstract & cite →

Unsupervised learning clustering density clustering DBSCAN

Abstract doi.org/10.14569/IJACSA.2021.0120283 PDF

84

Particle Physics Simulator for Scientific Education using Augmented Reality

Author 1: Hasnain Hyder Author 2: Gulsher Baloch Author 3: Khawaja Saad Author 4: Nehal Shaikh Author 5: Abdul Baseer Buriro Author 6: Junaid Bhatti

In this era of fourth industrial revolution, young learners need to be equipped with 21st century skills, such as critical thinking, creativity, communication, collaboration, innovation and problem solving. Augmented Reality (AR) based learning systems are an effective tool to embed these skills. This paper presents a detailed review of latest… Read full abstract & cite →

Particle physics augmented reality proton-proton collision Higgs field interactive classroom AR in education AR based lab experiments

Abstract doi.org/10.14569/IJACSA.2021.0120284 PDF

85

Parallelization Technique using Hybrid Programming Model

Author 1: Abdullah Algarni Author 2: Abdulraheem Alofi Author 3: Fathy Eassa

A multi-core processor is an integrated circuit that contains multiple core processing unit. For more than two decades, the single-core processors dominated the computing environment. The continuous development of hardware and processors led to the emergence of high-performance computers that able to address complex scientific and engineering programs quickly. Besides… Read full abstract & cite →

Serial code translation parallel code C++ hybrid programming model auto-translation S2PMOACC

Abstract doi.org/10.14569/IJACSA.2021.0120285 PDF

86

Fully Convolutional Networks for Local Earthquake Detection

Author 1: Youness Choubik Author 2: Abdelhak Mahmoudi Author 3: Mohammed Majid Himmi

Automatic earthquake detection is widely studied to replace manual detection, however, most of the existing methods are sensitive to seismic noise. Hence, the need for Machine and Deep Learning has become more and more significant. Regardless of successful applications of the Fully Convolutional Networks (FCN) in many different fields, to… Read full abstract & cite →

Earthquake detection fully convolutional networks data normalization classification

Abstract doi.org/10.14569/IJACSA.2021.0120286 PDF

87

A Hybridized Deep Learning Method for Bengali Image Captioning

Author 1: Mayeesha Humaira Author 2: Shimul Paul Author 3: Md Abidur Rahman Khan Jim Author 4: Amit Saha Ami Author 5: Faisal Muhammad Shah

An omnipresent challenging research topic in com-puter vision is the generation of captions from an input image. Previously, numerous experiments have been conducted on image captioning in English but the generation of the caption from the image in Bengali is still sparse and in need of more refining. Only a… Read full abstract & cite →

Bengali image captioning hybrid architecture In-ceptionResNet Xception

Abstract doi.org/10.14569/IJACSA.2021.0120287 PDF

88

Hybrid Approaches based on Simulated Annealing, Tabu Search and Ant Colony Optimization for Solving the k-Minimum Spanning Tree Problem

Author 1: El Houcine Addou Author 2: Abelhafid Serghini Author 3: El Bekkaye Mermri

In graph theory, the k-minimum spanning tree problem is considered to be one of the well-known NP hard problems to solve. This paper address this problem by proposing several hybrid approximate approaches based on the combination of simulated annealing, tabu search and ant colony optimization algorithms. The performances of the… Read full abstract & cite →

k-Minimum spanning tree metaheuristics simu-lated annealing ant colony optimization algorithms tabu search approximation algorithms

Abstract doi.org/10.14569/IJACSA.2021.0120288 PDF

89

Automatic Classification of Preliminary Diabetic Retinopathy Stages using CNN

Author 1: Omar Khaled Author 2: Mahmoud ElSahhar Author 3: Mohamed Alaa El-Dine Author 4: Youssef Talaat Author 5: Yomna M. I. Hassan Author 6: Alaa Hamdy

Diabetes Mellitus is one of the modern world’s most prominent and dominant maladies. This condition later on leads to a menacing eye disease called Diabetic Retinopathy (DR). Diabetic Retinopathy is a retinal disease that is caused by high blood sugar levels in the retina, and can naturally progress to irreversible… Read full abstract & cite →

Diabetes mellitus diabetic retinopathy DR convo-lutional neural networks (CNNs) image processing

Abstract doi.org/10.14569/IJACSA.2021.0120289 PDF

90

Smart Home Energy Management System based on the Internet of Things (IoT)

Author 1: Emmanuel Ampoma Affum Author 2: Kwame Agyeman-Prempeh Agyekum Author 3: Christian Adumatta Gyampomah Author 4: Kwadwo Ntiamoah-Sarpong Author 5: James Dzisi Gadze

The global increasing demand for energy has brought attention to the need for energy efficiency. Markedly noticeable in developing areas, energy challenges can be at-tributed to the losses in the distribution and transmission sys-tems, and insufficient demand-side energy management. Demand-oriented systems have been widely proposed as feasible solutions. Smart Home… Read full abstract & cite →

Internet of things energy efficiency home control smart home

Abstract doi.org/10.14569/IJACSA.2021.0120290 PDF

91

Security, Privacy and Trust in IoMT Enabled Smart Healthcare System: A Systematic Review of Current and Future Trends

Author 1: Thavavel Vaiyapuri Author 2: Adel Binbusayyis Author 3: Vijayakumar Varadarajan

In the past decades, healthcare has witnessed a swift transformation from traditional specialist/hospital centric approach to a patient-centric approach especially in the smart healthcare system (SHS). This rapid transformation is fueled on account of the advancements in numerous technologies. Amongst these technologies, the Internet of medicals things (IoMT) play an… Read full abstract & cite →

Smart healthcare system internet of medical things authentication and authorization security and privacy blockchain intrusion detection system

Abstract doi.org/10.14569/IJACSA.2021.0120291 PDF

92

High Speed Single-Stage Face Detector using Depthwise Convolution and Receptive Fields

Author 1: Rahul Yadav Author 2: Priyanka Author 3: Priyanka Kacker

At present face detectors use a large Convolutional Neural Network (CNN) to achieve high detection performance, which is a widely used sub-area of artificial intelligence. These face detectors have a large number of parameters which reduces their detection speed dreadfully on a system with low computa-tional resources. This is a… Read full abstract & cite →

Artificial intelligence computer-vision Convolu-tional Neural Network (CNN) face detector

Abstract doi.org/10.14569/IJACSA.2021.0120292 PDF

93

A Novel Framework for Modelling Wheelchairs under the Realm of Internet-of-Things

Author 1: Sameer Ahmad Bhat Author 2: Muneer Ahmad Dar Author 3: Hazem Elalfy Author 4: Mohammed Abdul Matheen Author 5: Saadiya Shah

Innovations in research labs are driven to global markets by applied, established standard engineering practices, using state-of-the-art research that most likely results in manu-facturing highly effective and efficient engineered products. As a technology, that enables assistance to physically challenged people, wheelchairs have attracted researchers across the globe whilst showcasing an… Read full abstract & cite →

Wheelchairs IoT acceptability engineering human-centered engineering innovative technologies early adopters

Abstract doi.org/10.14569/IJACSA.2021.0120293 PDF

94

Impact of Mobile Applications for a Lima University in Pandemic

Author 1: Carlos Diaz-Nunez Author 2: Gianella Sanchez-Cochachin Author 3: Yordin Ricra-Chauca Author 4: Laberiano Andrade-Arenas

The current global pandemic situation has forced universities to opt for distance education, relying on digital tools that are currently available, such as course management platforms like Moodle, videoconferencing applications like Google Meet or Zoom, or instant messaging apps like WhatsApp. In this study it is detailed that these tools… Read full abstract & cite →

Higher education internet connection mobile ap-plications pandemic university

Abstract doi.org/10.14569/IJACSA.2021.0120294 PDF

95

Deep Convolutional Neural Network for Chicken Diseases Detection

Author 1: Hope Mbelwa Author 2: Jimmy Mbelwa Author 3: Dina Machuve

For many years in the society, farmers rely on experts to diagnose and detect chicken diseases. As a result, farmers lose many domesticated birds due to late diagnoses or lack of reliable experts. With the available tools from artificial intelligence and machine learning based on computer vision and image analysis… Read full abstract & cite →

Image classification Convolutional Neural Net-works (CNNs) disease detection transfer learning

Abstract doi.org/10.14569/IJACSA.2021.0120295 PDF

96

Efficient Lung Nodule Classification Method using Convolutional Neural Network and Discrete Cosine Transform

Author 1: Abdelhamid EL HASSANI Author 2: Brahim AIT SKOURT Author 3: Aicha MAJDA

In today’s medicine, Computer-Aided Diagnosis Systems (CAD) are very used to improve the screening test accuracy of pulmonary nodules. Processing, classification, and detection techniques form the basis of CAD architecture. In this work, we focus on the classification step in a CAD system where we use Discrete Cosine Transform (DCT)… Read full abstract & cite →

Convolutional neural network discrete cosine trans-form pulmonary nodule classification computer aided diagnosis systems

Abstract doi.org/10.14569/IJACSA.2021.0120296 PDF

97

Streaming of Global Navigation Satellite System Data from the Global System of Navigation

Author 1: Liliana Ibeth Barbosa-Santillan Author 2: Juan Jaime Sanchez-Escobar Author 3: Luis Francisco Barbosa-Santillan Author 4: Amilcar Meneses-Viveros Author 5: Zhan Gao Author 6: Julio Cesar Roa-Gil Author 7: Gabriel A. Le´on Paredes

The Big Data phenomenon has driven a revolution in data and has provided competitive advantages in business and science domains through data analysis. By Big Data, we mean the large volumes of information generated at high speeds from various information sources, including social networks, sensors for multiple devices, and satellites… Read full abstract & cite →

GLONASS streaming extraction satellites data observation files metadata

Abstract doi.org/10.14569/IJACSA.2021.0120297 PDF

98

Deep Reinforcement Learning based Handover Management for Millimeter Wave Communication

Author 1: Michael S. Mollel Author 2: Shubi Kaijage Author 3: Michael Kisangiri

The Millimeter Wave (mm-wave) band has a broad-spectrum capable of transmitting multi-gigabit per-second date-rate. However, the band suffers seriously from obstruction and high path loss, resulting in line-of-sight (LOS) and non-line-of-sight (NLOS) transmissions. All these lead to significant fluctu-ation in the signal received at the user end. Signal fluctuations present… Read full abstract & cite →

Handover management 5G machine learning re-inforcement learning mm-wave communication

Abstract doi.org/10.14569/IJACSA.2021.0120298 PDF

99

Disposable Virtual Machines and Challenges to Digital Forensics Investigation

Author 1: Mohammed Yousuf Uddin Author 2: Sultan Ahmad Author 3: Mohammad Mazhar Afzal

Digital forensics field faces new challenges with emerging technologies. Virtualization is one of the significant challenges in the field of digital forensics. Virtual Machines (VM) have many advantages either it be an optimum utilization of hardware resources or cost saving for organizations. Traditional forensics’ tools are not competent enough to… Read full abstract & cite →

Digital forensics digital investigation disposable virtual machines light weight virtual machine Microsoft sandbox QEMU qubes

Abstract doi.org/10.14569/IJACSA.2021.0120299 PDF

100

Priority-Mobility Aware Clustering Routing Algorithm for Lifetime Improvement of Dynamic Wireless Sensor Network

Author 1: Rajiv R. Bhandari Author 2: K. Raja Sekhar

Wireless sensor network with mobility is rapidly evolving and increasing in the recent decade. The cluster and hierarchical routing strategy demonstrates major changes in the lifespan of the network and the scalability. The latency, average energy consumption, packet distribution ratio is highly impacted due to a lack of coordination between… Read full abstract & cite →

Cluster routing sleep scheduling priority reinforcement

Abstract doi.org/10.14569/IJACSA.2021.01202100 PDF

101

Cluster-based Access Control Mechanism for Cellular D2D Communication Networks with Dense Device Deployment

Author 1: Thanh-Dat Do Author 2: Ngoc-Tan Nguyen Author 3: Thi-Huong-Giang Dang Author 4: Nam-Hoang Nguyen Author 5: Minh-Trien Pham

In cellular device-to-device (D2D) communication networks, devices can communicate directly with each other without passing through base stations. Access control is an important function of radio resource management which aims to reduce frequency collision and mitigate interference between user’s connections. In this paper, we propose a cluster-based access control (CBAC)… Read full abstract & cite →

D2D communications access control channel al-location power assignment interference mitigation

Abstract doi.org/10.14569/IJACSA.2021.01202101 PDF

102

Human Recognition using Single-Input-Single-Output Channel Model and Support Vector Machines

Author 1: Sameer Ahmad Bhat Author 2: Abolfazl Mehbodniya Author 3: Ahmed Elsayed Alwakeel Author 4: Julian Webber Author 5: Khalid Al-Begain

WiFi based human motion recognition systems mainly rely on the availability of Channel State Information (CSI). Embedded within WiFi devices, the present radio sub-systems can output CSI that describes the response of a wireless communication channel. Radio subsystems as such, use complex hardware architectures that consume lots of energy during… Read full abstract & cite →

Motion detection pattern recognition received sig-nal strength indicator Software Defined Radio (SDR) supervised learning

Abstract doi.org/10.14569/IJACSA.2021.01202102 PDF

103

Agile Fitness of Software Companies in Bangladesh: An Empirical Investigation

Author 1: M M Mahbubul Syeed Author 2: Razib Hayat Khan Author 3: Jonayet Miah

With the mandate of light-weight working practices, iterative development, customer collaboration and incremental delivery of business values, Agile software development methods have become the de-facto standard for commercial software development, worldwide. Consequently, this research aims to empirically investigate the preparedness and the adoption of agile practices in the prominent software… Read full abstract & cite →

Agile manifesto agile methodology scrum soft-ware development projects software companies in Bangladesh

Abstract doi.org/10.14569/IJACSA.2021.01202103 PDF