IJACSA Vol. 12 Issue 11 (2021)

1

Performance Evaluation of SNMPv1/2c/3 using Different Security Models on Raspberry Pi

Author 1: Eric Gamess Author 2: Sergio Hernandez

The Simple Network Management Protocol (SNMP) is one of the dominant protocols for network monitoring and configuration. The first two versions of SNMP (v1 and v2c) use the Community-based Security Model (CSM), where the community is transferred in clear text, resulting in a low level of security. With the release… Read full abstract & cite →

Simple network management protocol SNMP performance evaluation benchmarks raspberry pi

Abstract doi.org/10.14569/IJACSA.2021.0121101 PDF

2

Digital Economy and its Importance in the Development of Small and Medium Innovative Enterprises

Author 1: Tatiana Korsakova Author 2: Lyudmila Dubanevich Author 3: Oleg Drozdov Author 4: Anna Mikhailova Author 5: Ekaterina Kamchatova

A single universally accepted definition, levels and interconnections of digital economy with other economies is not yet developed. Thus, various definitions of the digital economy have been investigated, as well as various approaches to describing the process of transformation of the digital economy for the correct establishment of these relationships… Read full abstract & cite →

Business SMEs entrepreneurship Russia digitalization

Abstract doi.org/10.14569/IJACSA.2021.0121102 PDF

3

Human Action Recognition in Video Sequence using Logistic Regression by Features Fusion Approach based on CNN Features

Author 1: Tariq Ahmad Author 2: Jinsong Wu Author 3: Imran Khan Author 4: Asif Rahim Author 5: Amjad Khan

Human Action recognition (HAR) gains too much attention due to its wide range of real world applications, such as video surveillance, robotics and computer vision. In video surveillance systems security cameras are placed to monitor activities and motion, generate alerts in undesirable situations. Due to such importance of video surveillance… Read full abstract & cite →

Human action recognition logistic regression deep learning convolution neural network features fusion

Abstract doi.org/10.14569/IJACSA.2021.0121103 PDF

4

Application-based Framework for Analysis, Monitoring and Evaluation of National Open Data Portals

Author 1: Vigan Raca Author 2: Goran Velinov Author 3: Betim Cico Author 4: Margita Kon-Popovska

Open Government Data (OGD) portals are considered of significant national importance towards transparency and accountability improvement. The continuous publication of data in OGD portals introduces the need for high-quality data and the qualitative portal itself. This paper aims to address the data quality issues through a framework composed of several… Read full abstract & cite →

Open data government datasets evaluation portals framework

Abstract doi.org/10.14569/IJACSA.2021.0121104 PDF

5

Deep Learning for Arabic Image Captioning: A Comparative Study of Main Factors and Preprocessing Recommendations

Author 1: Hani Hejazi Author 2: Khaled Shaalan

Captioning of images has been a major concern for the last decade, with most of the efforts aimed at English captioning. Due to the lack of work done for Arabic, relying on translation as an alternative to creating Arabic captions will lead to accumulating errors during translation and caption prediction… Read full abstract & cite →

Deep learning NLP Arabic image captioning Arabic text preprocessing LSTM VGG16 INCEPTION V3

Abstract doi.org/10.14569/IJACSA.2021.0121105 PDF

6

Hardware Architecture for Adaptive Dual Threshold Filter and Discrete Wavelet Transform based ECG Signal Denoising

Author 1: Safa MEJHOUDI Author 2: Rachid LATIF Wissam JENKAL Author 3: Amine Saddik Author 4: Abdelhafid EL OUARDI SATIE

The ECG signal, like all signals obtained when instrumenting a data acquisition system, is affected by noises of physiological and technical sources such as Electromyogram (EMG) and power line interferences, which can deteriorate its morphology. To overcome this issue, it’s subjected to apply a preprocessing step to remove these noises… Read full abstract & cite →

ECG signal DWT ADTF hybrid technique hardware-software codesign FPGA

Abstract doi.org/10.14569/IJACSA.2021.0121106 PDF

7

Machine Learning based Forecasting Systems for Worldwide International Tourists Arrival

Author 1: Ram Krishn Mishra Author 2: Siddhaling Urolagin Author 3: J. Angel Arul Jothi Author 4: Nishad Nawaz Author 5: Haywantee Ramkissoon

The international tourist movement has overgrown in recent decades, and travelers are considered a significant source of income to the tourism economy. When tourists visit a place, they spend considerable money on their enjoyment, travel, and hotel accommodations. In this research, tourist data from 2010 to 2020 have been extracted… Read full abstract & cite →

Tourists forecasting machine learning Covid-19

Abstract doi.org/10.14569/IJACSA.2021.0121107 PDF

8

Analyzing the Sentiments of Jordanian Students Towards Online Education in the Higher Education Institutions

Author 1: Bayan Alfayoumi Author 2: Mohammad Alshraideh Author 3: Saleh Al-Sharaeh Author 4: Martin Leiner Author 5: Iyad Muhsen AlDajani

Sentiment analysis and opinion polling are two areas that have grown significantly over the past decade. Opinion research and sentiments analysis in the online education environment can truly reflect the learning state of students and educators and experts in the field; providing the theoretical basis needed to further review educational… Read full abstract & cite →

Online education students sentiment analysis online education online environment online social media

Abstract doi.org/10.14569/IJACSA.2021.0121108 PDF

9

Comparative Study of Flooding Area Detection with SAR Images based on Thresholding and Difference Images Acquired Before and After the Flooding

Author 1: Kohei Arai

Comparative study of flooding area detection with Synthetic Aperture Radar (SAR) images based on thresholding and difference images acquired before and after the flooding is conducted. Method for flooding, landslide and sediment disaster area detections with SAR is proposed. The following two different methods for flooding detection are common. It… Read full abstract & cite →

Flooding landslide sediment disaster heavy rain image quality Synthetic Aperture Radar SAR sentinel-1 SAR thresholding difference images between before and after disaster

Abstract doi.org/10.14569/IJACSA.2021.0121109 PDF

10

Developing of Middleware and Cross Platform Chat Application

Author 1: Danny Sebastian Author 2: Restyandito Author 3: Kristian Adi Nugraha

The rapid development of technology has resulted in many new innovations on social media platforms. Now-a-days, there are many chat applications available, namely Whatsapp, Telegram, LINE, Viber, and many others. This in turn forces users to juggle between many chat applications as different applications can’t communicate with each other. This… Read full abstract & cite →

Telegram API line API chat application flutter middleware

Abstract doi.org/10.14569/IJACSA.2021.0121110 PDF

11

A Survey on Deep Learning Face Age Estimation Model: Method and Ethnicity

Author 1: Hadi A. Dahlan

Face age estimation is a type of study in computer vision and pattern recognition. Designing an age estimation or classification model requires data as training samples for the machine to learn. Deep learning method has improved estimation accuracy and the number of deep learning age estimation models developed. Furthermore, numerous… Read full abstract & cite →

Deep learning face age estimation face database ethnicity bias

Abstract doi.org/10.14569/IJACSA.2021.0121111 PDF

12

Comparative Analysis of Supervised Machine Learning Techniques for Sales Forecasting

Author 1: Stuti Raizada Author 2: Jatinderkumar R. Saini

This study talks about how data mining can be used for sales forecasting in retail sales and demand prediction. Prediction of sales is a crucial task which determines the success of any organization in the long run. There are various techniques available for predicting the sales of a supermarket such… Read full abstract & cite →

Sales forecasting linear regression random forest regression KNN regression algorithm SVM algorithm supervised machine learning techniques

Abstract doi.org/10.14569/IJACSA.2021.0121112 PDF

13

Machine Learning for Diagnosing Drug Users and Types of Drugs Used

Author 1: Anthony Anggrawan Author 2: Christofer Satria Author 3: Che Ku Nuraini Author 4: Lusiana Author 5: Ni Gusti Ayu Dasriani Author 6: Mayadi

Drug use is very detrimental to the physical and psychological health of users. Drug abuse also causes addiction and is a global epidemic. Therefore it is not surprising that scientific research related to drugs has attracted attention for research. However, many factors become obstacles in the medical services of the… Read full abstract & cite →

Machine learning drug expert system forward chaining certainty factor

Abstract doi.org/10.14569/IJACSA.2021.0121113 PDF

14

Insights on Deep Learning based Segmentation Schemes Towards Analyzing Satellite Imageries

Author 1: Natya S Author 2: Ramya K Author 3: Seema Singh

Satellite imageries are essentially a complex form of an image when subjected to critical analytical operation. The analytical process applied on remotely sensed satellite imageries are utilized for generating the land cover map. With an abundance of traditional techniques evolved to date, deep learning-based schemes are progressively gaining pace for… Read full abstract & cite →

Deep learning landcover map generation remotely sense image satellite image segmentation

Abstract doi.org/10.14569/IJACSA.2021.0121114 PDF

15

DNA Profiling: An Investigation of Six Machine Learning Algorithms for Estimating the Number of Contributors in DNA Mixtures

Author 1: Hamdah Alotaibi Author 2: Fawaz Alsolami Author 3: Rashid Mehmood

DNA (Deoxyribonucleic acid) profiling involves analysis of sequences of individual or mixed DNA profiles to identify persons these profiles belong to. DNA profiling is used in important applications such as for paternity tests, in forensic science for person identification on a crime scheme, etc. Finding the number of contributors in… Read full abstract & cite →

Machine learning DNA profiling DNA mixtures forensic science

Abstract doi.org/10.14569/IJACSA.2021.0121115 PDF

16

Visualization of the Temporal Topic Model on Higher Education Preferences with Higher Education Ranking Indicators

Author 1: Winda Widya Ariestya Author 2: Achmad Benny Mutiara Author 3: I Made Wiryana Author 4: Setia Wirawan

Private universities have devised a strategy to counteract the ongoing competition. Private universities can use the appropriate data analysis method to make higher education management decisions. The goal of this research is to find a new approach to data analysis methods in the form of visualization using the TTM (Temporal… Read full abstract & cite →

Management decisions temporal topic model university visualization

Abstract doi.org/10.14569/IJACSA.2021.0121116 PDF

17

Sparse Distributed Memory Approach for Reinforcement Learning Driven Efficient Routing in Mobile Wireless Network System

Author 1: Varshini Vidyadhar Author 2: Nagaraj R Author 3: G Sudha

In recent years, researchers have explored the applicability of Q-learning, a model-free reinforcement learning technology towards designing QoS-aware, resource-efficiency, and reliable routing techniquesin a dynamically changing network environment. However, Q-learning is based on tabular representation to characterize learned policies that frequently encounter a dimension disaster problem when introduced to the… Read full abstract & cite →

Mobile wireless network reinforcement learning Q-learning Kanerva coding routing memory optimization

Abstract doi.org/10.14569/IJACSA.2021.0121117 PDF

18

A Systematic Review of Published Articles, Phases and Activities in an Online Social Networks Forensic Investigation Domain

Author 1: Aliyu Musa Bade Author 2: Siti Hajar Othman

The purpose of this paper is to retrieve, evaluate and analyse the available published articles in five (5) relevant online databases from 2011 to 2021 and also critically identify the phases and activities involved in an Online Social Networks Forensic Investigation based on bibliometric analysis and Degree of confidence respectively… Read full abstract & cite →

Forensic investigation model online social networks bibliometric analysis degree of confidence

Abstract doi.org/10.14569/IJACSA.2021.0121118 PDF

19

Deep Learning based Neck Models for Object Detection: A Review and a Benchmarking Study

Author 1: Sara Bouraya Author 2: Abdessamad Belangour

Artificial intelligence is the science of enabling computers to act without being further programmed. Particularly, computer vision is one of its innovative fields that manages how computers acquire comprehension from videos and images. In the previous decades, computer vision has been involved in many fields such as self-driving cars, efficient… Read full abstract & cite →

Object detection deep learning computer vision neck models feature aggregation feature fusion

Abstract doi.org/10.14569/IJACSA.2021.0121119 PDF

20

Naïve Bayes Classification of High-Resolution Aerial Imagery

Author 1: Asmala Ahmad Author 2: Hamzah Sakidin Author 3: Mohd Yazid Abu Sari Author 4: Abd Rahman Mat Amin Author 5: Suliadi Firdaus Sufahani Author 6: Abd Wahid Rasib

In this study, the performance of Naïve Bayes classification on a high-resolution aerial image captured from a UAV-based remote sensing platform is investigated. K-means clustering of the study area is initially performed to assist in selecting the training pixels for the Naïve Bayes classification. The Naïve Bayes classification is performed… Read full abstract & cite →

Naïve Bayes k-means classification accuracy training set size discriminant analysis

Abstract doi.org/10.14569/IJACSA.2021.0121120 PDF

21

Secured and Provisioned Access Authentication using Subscribed user Identity in Federated Clouds

Author 1: Sudan Jha Author 2: Sultan Ahmad Author 3: Meshal Alharbi Author 4: Bader Alouffi Author 5: Shoney Sebastian

Cloud computing has become an essential source for modern trade or market environments by abled frameworks. The exponential growth of cloud computing services in the last few years has resulted in extensive use, especially in storing and sharing the data on various cloud servers. The current trend in the cloud… Read full abstract & cite →

Security authentication (SA) cloud federation (CF) cloud service provider (CSP) key distribution center (KDC) user identity verification module (UIdVM)

Abstract doi.org/10.14569/IJACSA.2021.0121121 PDF

22

Local Frequency Descriptor and Hybrid Features for Classification of Brain Magnetic Resonance Images using Ensemble Classifier

Author 1: Shruthi G Author 2: Krishna Raj P M

A brain tumor is an irregular development of cells in the human brain that causes problems with the brain's normal functionalities. Early detection of brain tumor is an essential process to help the patient to live longer than treatment. Hence in this paper, a hybrid ensemble model has been proposed… Read full abstract & cite →

Brain tumor hybrid features local frequency descriptor (LFD) ensemble classifier

Abstract doi.org/10.14569/IJACSA.2021.0121122 PDF

23

Mutual Informative Brown Clustering based Multiattribute Cockroach Swarm Optimization for Reliable Data Dissemination in VANET

Author 1: D. Radhika Author 2: A. Bhuvaneswari

A vehicular ad hoc network (VANETs) intends to obtain communication for vehicular networks and enhances road safety and effectiveness with help of wireless technology. Data dissemination is an important process in communication. In VANETs system, Data dissemination plays a significant role. A novel Mutual informative brown clustering-based multi attribute cockroach… Read full abstract & cite →

VANET data dissemination mutual informated brown agglomerative clustering multi attribute cockroach swarm optimization

Abstract doi.org/10.14569/IJACSA.2021.0121123 PDF

24

Face Age Estimation and the Other-race Effect

Author 1: Oluwasegun Oladipo Author 2: Elijah Olusayo Omidiora Author 3: Victor Chukwudi Osamor

Age estimation is an automated method of predicting human age from 2-D facial feature representations. The majority of studies carried out in this research area use the FG-NET and MORPH 2 databases to train and test developed systems, which are lacking in black-face content. Most age frauds are perpetuated in… Read full abstract & cite →

Component face recognition age estimation other-race effect

Abstract doi.org/10.14569/IJACSA.2021.0121124 PDF

25

Polarity Detection of Dialectal Arabic using Deep Learning Models

Author 1: Saleh M. Mohamed Author 2: Ensaf Hussein Mohamed Author 3: Mohamed A. Belal

With the evolution of a new era of technology and social media networks, as well as an increase in Arabs sharing their point of view, it became necessary that this research be conducted. Sentiment analysis is concerned with identifying and extracting opinionated phrases from reviews or tweets. Specifically, to determine… Read full abstract & cite →

Sentiment analysis word embedding sentiment classification dialectical arabic deep learning

Abstract doi.org/10.14569/IJACSA.2021.0121125 PDF

26

Challenges in Developing Virtual Reality, Augmented Reality and Mixed-Reality Applications: Case Studies on A 3D-Based Tangible Cultural Heritage Conservation

Author 1: Ahmad Zainul Fanani Author 2: Khafiizh Hastuti Author 3: Arry Maulana Syarif Author 4: Prayanto Widyo Harsanto

A model that contributes in a simple, practical and effective way to develop 3D-based CH conservation applications involving the use of VR, AR and MR technologies was proposed based on the identification of challenges in developing applications. Identification was carried out by analyzing related and relevant articles selected randomly using… Read full abstract & cite →

Virtual reality augmented reality mixed reality tangible cultural heritage 3D-based cultural heritage conservation

Abstract doi.org/10.14569/IJACSA.2021.0121126 PDF

27

Trust-based Key Management Conglomerate ElGamal Encryption for Data Aggregation Framework in WSN using Blockchain Technology

Author 1: T. G. Babu Author 2: V. Jayalakshmi

In wireless sensor networks (WSN), data aggregation is a widely used method. Security issues like data integrity and data confidentiality became a significant concern in data aggregation when the sensor network is deployed in a hostile environment. Many researches may carry out several works to tolerate these security issues. However… Read full abstract & cite →

Wireless sensor networks data aggregation PoW detection scheme blockchain technology cluster formation key generation security delay ratio

Abstract doi.org/10.14569/IJACSA.2021.0121127 PDF

28

Statistical Analysis for Revealing Defects in Software Projects: Systematic Literature Review

Author 1: Alia Nabil Mahmoud Author 2: Vítor Santos

Defect detection in software is the procedure to identify parts of software that may comprise defects. Software companies always seek to improve the performance of software projects in terms of quality and efficiency. They also seek to deliver the soft-ware projects without any defects to the communities and just in… Read full abstract & cite →

Defects software projects statistical model linear regression logistic regression

Abstract doi.org/10.14569/IJACSA.2021.0121128 PDF

29

A Hybrid Deep Neural Network for Human Activity Recognition based on IoT Sensors

Author 1: Zakaria BENHAILI Author 2: Youssef BALOUKI Author 3: Lahcen MOUMOUN

Internet of things (IOT) sensors, has received a lot of interest in recent years due to the rise of application demands in domains like ubiquitous and context-aware computing, activity surveillance, ambient assistive living and more specifically in Human activity recognition. The recent development in deep learning allows to extract high-level… Read full abstract & cite →

IoT deep learning CNN GRU CNGRU human activity recognition

Abstract doi.org/10.14569/IJACSA.2021.0121129 PDF

30

Bioinformatics Research Through Image Processing of Histopathological Response to Stonefish Venom

Author 1: Mohammad Wahsha Author 2: Heider A. M. Wahsheh Author 3: Wissam Hayek Author 4: Haya Al-Tarawneh Author 5: Maroof Khalaf Author 6: Tariq Al-Najjar

The present study utilizes coastal and environmental engineering to investigate the histopathological effects of Synanceia verrucosa venom on Albino BALB/c mice. S. verrucosa is the most hazardous venomous marine fish that belong to the family Synanceiidae, generally known as the "Reef Stonefish". Crude venom was collected from venom glands of… Read full abstract & cite →

Synanceia verrucosa Gulf of Aqaba artificial intelligence marine biotoxins

Abstract doi.org/10.14569/IJACSA.2021.0121130 PDF

31

Real Time Distributed and Decentralized Peer-to-Peer Protocol for Swarm Robots

Author 1: Mahmoud Almostafa RABBAH Author 2: Nabila RABBAH Author 3: Hicham BELHADAOUI Author 4: Mounir RIFI

This contribution proposes an approach to enhance the capability of robotic agents to join the Internet of Things (IoT) and act autonomously in extreme and hostile environment. This capability will help in the development in environments where the connectivity, availability, and responsivity of the devices are subject to variations and… Read full abstract & cite →

Autonomous robots smart objects peer-to-peer real time communication ROS2 ZeroMQ middleware

Abstract doi.org/10.14569/IJACSA.2021.0121131 PDF

32

Improving Customer Churn Classification with Ensemble Stacking Method

Author 1: Mohd Khalid Awang Author 2: Mokhairi Makhtar Author 3: Norlina Udin Author 4: Nur Farraliza Mansor

Due to the high cost of acquiring new customers, accurate customer churn classification is critical in any company. The telecommunications industry has employed single classifiers to classify customer churn; however, the classification accuracy remains low. Nevertheless, combining several classifiers' decisions improves classification accuracy. This article attempts to enhance ensemble integration… Read full abstract & cite →

Stacking ensemble customer churn prediction bagging boosting

Abstract doi.org/10.14569/IJACSA.2021.0121132 PDF

33

Enhancing the Takhrij Al-Hadith based on Contextual Similarity using BERT Embeddings

Author 1: Emha Taufiq Luthfi Author 2: Zeratul Izzah Mohd Yusoh Author 3: Burhanuddin Mohd Aboobaider

Muslims are required to conduct Takhrij to validate the truth of Hadith text, especially when it is obtained from online media. Typically, the traditional Takhrij processes are conducted by experts and apply to Arabic Hadith text. This study introduces a contextual similarity model based on BERT Embedding to handle Takhrij… Read full abstract & cite →

Hadith text Takhrij natural language processing text-similarity word embedding BERT fine-tuning

Abstract doi.org/10.14569/IJACSA.2021.0121133 PDF

34

UX Testing for Mobile Learning Applications of Deaf Children

Author 1: Normala Mohamad Author 2: Nor Laily Hashim

Many studies are focusing on deaf children mobile learning. However, they are not concentrating on user experience (UX) testing. Current UX testing is based on existing UX evaluation models that are hard to apply due to the comprehensive measurements and lack of description on how to conduct evaluation for a… Read full abstract & cite →

User experience UX testing UX dimension UX metrics mobile learning application deaf children smileyometer

Abstract doi.org/10.14569/IJACSA.2021.0121134 PDF

35

The Regularization Effect of Pre-activation Batch Normalization on Convolutional Neural Network Performance for Face Recognition System Paper

Author 1: Abu Sanusi Darma Author 2: Fatma Susilawati Binti Mohamad

Face recognition is of pronounced significance to real-world applications such as video surveillance systems, human computing interaction, and security systems. This biometric authenticating system encompasses rich real human face characteristics. As such, it has been one of the important research topics in computer vision. Face recognition systems based on deep… Read full abstract & cite →

Face recognition pre-active batch normalization convolutional neural network

Abstract doi.org/10.14569/IJACSA.2021.0121135 PDF

36

Heuristics and Think-aloud Method for Evaluating the Usability of Game-based Language Learning

Author 1: Kashif Ishaq Author 2: Fadhilah Rosdi Author 3: Nor Azan Mat Zin Author 4: Adnan Abid

Digital learning environments are increasingly becoming popular in recent years. The rising usage of cell phones has invited researchers to design and develop learning applications and games for mobile phones. Specifically, game-based language learning is being promoted by researchers in many parts of the world. “Language Learning Serious Game (LLSG)”… Read full abstract & cite →

Engagement game-based heuristic evaluation language learning motivation think aloud usability

Abstract doi.org/10.14569/IJACSA.2021.0121136 PDF

37

Towards Measuring User Experience based on Software Requirements

Author 1: Issa Atoum Author 2: Jameel Almalki Author 3: Saeed Masoud Alshahrani Author 4: Waleed Al Shehri

User Experience (UX) provides insights into the users’ product perceptions while using or intending to use an application. Software products are known for complexity and changeability, starting from requirements engineering until the product operation. Users often evaluate software UX based on a prototype; however, UX is semantically embedded in the… Read full abstract & cite →

User experience benchmark dataset requirements engineering UX evaluation software engineering

Abstract doi.org/10.14569/IJACSA.2021.0121137 PDF

38

Machine Learning Driven Feature Sensitive Progressive Sampling Model for BigData Analytics

Author 1: Nandita Bangera Author 2: Kayarvizhy N

BigData requires processing a huge data volume, which is an undeniable challenge for academia-industries. The classical sampling techniques are limited when addressing data-imbalance, large data-heterogeneity, multi-dimensionality etc. To alleviate it, in this paper a novel machine learning driven feature sensitive progressive sampling (ML-FSPS) that in conjunction with an improved feature… Read full abstract & cite →

Feature sensitive progressive sampling BigData analytics machine learning ensemble learning rank sum test IoT-device classification

Abstract doi.org/10.14569/IJACSA.2021.0121138 PDF

39

Thermal-aware Dynamic Weighted Adaptive Routing Algorithm for 3D Network-on-Chip

Author 1: Muhammad Kaleem Author 2: Ismail Fauzi Bin Isnin

3D Network-on-Chip NoC based systems have severe thermal problems due to the stacking of dies and disproportionate cooling efficiency of different layers. While adaptive routing can help with thermal issues, current routing algorithms are either thermally imbalanced or suffer from traffic congestion. In this work a novel thermal aware dynamic… Read full abstract & cite →

Routing algorithms thermal-aware dynamic weighted model 3D Network-on-Chip

Abstract doi.org/10.14569/IJACSA.2021.0121139 PDF

40

A New Back-off Algorithm with Priority Scheduling for MQTT Protocol and IoT Protocols

Author 1: Marwa O Al Enany Author 2: Hany M. Harb Author 3: Gamal Attiya

The Internet of Things (IoT) protocols have encountered great challenges as the growth of technology has led to many limitations of the performance of the IoT protocols. Message Queuing Telemetry Transport protocol (MQTT) is one of the most dominant protocols in most fields of smart applications, so it has been… Read full abstract & cite →

Back-off algorithm priority scheduling MQTT protocol average transmission frequency rate IoT protocols

Abstract doi.org/10.14569/IJACSA.2021.0121140 PDF

41

Examining User Experience of Moodle e-Learning System

Author 1: Layla Hasan

This research investigates the user experience (UX) of the Moodle e-learning system employed at one university in Malaysia from students’ perspectives. Comprehensive user experience (UX) criteria were suggested, which was adopted from two reliable criteria, to evaluate the user experience (UX) of the e-learning system. The suggested comprehensive user experience… Read full abstract & cite →

User Experience (UX) e-learning system Moodle usability learning management system

Abstract doi.org/10.14569/IJACSA.2021.0121141 PDF

42

Query Expansion based on Word Embeddings and Ontologies for Efficient Information Retrieval

Author 1: Namrata Rastogi Author 2: Parul Verma Author 3: Pankaj Kumar

Information retrieval has been an ever-going process for end users to fetch relevant data at one go. The problem intensifies more with unstructured data in a semantic web environment. It is also a promising area for researchers to dive in and refine it from time to time. Expanding the user… Read full abstract & cite →

CBOW Information retrieval ontology query reformulation semantic web skip gram word embeddings word2vec

Abstract doi.org/10.14569/IJACSA.2021.0121142 PDF

43

A Novel Integrated Scheme for Detection and Mitigation of Route Diversion Attack in MANET

Author 1: H C Ramaprasad Author 2: S. C. Lingareddy

With the involvement of Mobile Adhoc Network (MANET) in many upcoming technologies and applications, there is an increasing concern about secure data transmission. Until the last decade, various solutions have evolved to circumvent this threat; however, the security issue is still a more significant threat. The problems studied during the… Read full abstract & cite →

Mobile Adhoc network route diversion attack routing attack link legitimacy encryption

Abstract doi.org/10.14569/IJACSA.2021.0121143 PDF

44

Multi-level Hierarchical Controller Assisted Task Scheduling and Resource Allocation in Large Cloud Infrastructures

Author 1: Jyothi S Author 2: B S Shylaja

The high-pace emergence in Cloud Computing technologies demands and alarmed academia-industries to attain Quality-of-Service (QoS) oriented solutions to ensure optimal network performance in terms of Service Level Agreement (SLA) provision as well as Energy-Efficiency. Majority of the at-hand solutions employ Virtual Machine Migration to perform dynamic resource allocation which fails… Read full abstract & cite →

Task-scheduling VM-migration improved ant colony system SLA assurance energy-efficient consolidation

Abstract doi.org/10.14569/IJACSA.2021.0121144 PDF

45

A Review of a Biomimicry Swimming Robot using Smart Actuator

Author 1: Muhammad Shafique Ashroff Md Nor Author 2: Mohd Aliff Author 3: Nor Samsiah

Biomimicry-based robotic mobility is a newer subgenre of bio-inspired design and it's all about applying natural concepts to the development of real-world engineered systems. Previously, researchers used actuators such as motors, pumps, and intelligent materials or intelligent actuators to build many biomimicry robots. Due to the field's growing interest, this… Read full abstract & cite →

Biomimicry fish propulsion biological life smart actuator

Abstract doi.org/10.14569/IJACSA.2021.0121145 PDF

46

Fuel Consumption Prediction Model using Machine Learning

Author 1: Mohamed A. HAMED Author 2: Mohammed H.Khafagy Author 3: Rasha M.Badry

In the paper, we are enhancing the accuracy of the fuel consumption prediction model with Machine Learning to minimize Fuel Consumption. This will lead to an economic improvement for the business and satisfy the domain needs. We propose a machine learning model to predict vehicle fuel consumption. The proposed model… Read full abstract & cite →

Fuel consumption machine learning support vector machine feature weight feature selection on-board diagnostic

Abstract doi.org/10.14569/IJACSA.2021.0121146 PDF

47

Scalable and Reactive Multi Micro-Agents System Middleware for Massively Distributed Systems

Author 1: EZZRHARI Fatima Ezzahra Author 2: EL ABID AMRANI Noureddine Author 3: YOUSSFI Mohamed Author 4: BOUATTANE Omar

IT transformation has revolutionized the business landscape and changed most of organizations business model into digital and innovation driven firms. To fully take advantage of this digitalization and the exponential growth of data, organizations need to rely on resilient, scalable, extremely connected, highly available & very performant systems. To meet… Read full abstract & cite →

Massively distributed system multi agent system (MAS) high performance computing reactive programming hazelcast

Abstract doi.org/10.14569/IJACSA.2021.0121147 PDF

48

Expert System in Enhancing Efficiency in Basic Educational Management using Data Mining Techniques

Author 1: Fuseini Inusah Author 2: Yaw Marfo Missah Author 3: Najim Ussiph Author 4: Frimpong Twum

The importance of basic education is well noted in every country. Proper planning and utilization of resources at the basic level, helps in leveraging the success of education at all other levels of education in a country. Ghana is noted to be the country that spends higher in education than… Read full abstract & cite →

Basic education data mining educational management expert system population

Abstract doi.org/10.14569/IJACSA.2021.0121148 PDF

49

Machine Learning for Predicting Employee Attrition

Author 1: Norsuhada Mansor Author 2: Nor Samsiah Sani Author 3: Mohd Aliff

Employee attrition has become a focus of researchers and human resources because of the effects of poor performance on organizations regardless of geography, industry, or size. In this context, the use of machine learning classification models to predict whether an employee is likely to quit could greatly increase the human… Read full abstract & cite →

Artificial neural networks decision tree employee attrition machine learning support vector machines

Abstract doi.org/10.14569/IJACSA.2021.0121149 PDF

50

Finding Good Binary Linear Block Codes based on Hadamard Matrix and Existing Popular Codes

Author 1: Driss Khebbou Author 2: Reda Benkhouya Author 3: Idriss Chana Author 4: Hussain Ben-azza

Because of their algebraic structure and simple hardware implementation, linear codes as class of error-correcting codes, are used in a multitude of situations such as Compact disk, backland bar code, satellite and wireless communication, storage systems, ISBN numbers and so more. Nevertheless, the design of linear codes with high minimum… Read full abstract & cite →

Binary linear codes code construction minimum hamming distance error-correcting codes weight distribution coding theory hadamard matrix

Abstract doi.org/10.14569/IJACSA.2021.0121150 PDF

51

EFPT-OIDS: Evaluation Framework for a Pre-processing Techniques of Automatic Optho-Imaging Diagnosis and Detection System

Author 1: Sobia Naz Author 2: Radha Krishna Rao K. A Author 3: Shreekanth T

The modalities of FUNDUS images and the availability of public domain data sets provides a starting point in designing an ecosystem for developing an automatic detection of degenerative early-stage Glaucoma and Diabetic Retinopathy, and other eye-related diseases. The existing techniques for these operations lack flexibility and robustness in their design… Read full abstract & cite →

Pre processing FUNDUS image glaucoma diabetic retinopathy interpolation image enhancement

Abstract doi.org/10.14569/IJACSA.2021.0121151 PDF

52

A Delay-tolerant MAC Protocol for Emergency Care in WBAN Considering Preemptive and Non-preemptive Methods

Author 1: Shah Murtaza Rashid Al Masud Author 2: Aloke Kumar Saha

For facilitating pilgrims with no delay, quick and real-time emergency medical services at ritual sites a delay-tolerant Medium Access Control (MAC) protocol for the IEEE 802.15.6 standard based Wireless Body Area Networks (WBANs) has been proposed. Since MAC protocol is application-specific hence any particular MAC technique may not be appropriate… Read full abstract & cite →

WBAN MAC preemptive non-preemptive delay emergency traffic

Abstract doi.org/10.14569/IJACSA.2021.0121152 PDF

53

Transformer based Contextual Model for Sentiment Analysis of Customer Reviews: A Fine-tuned BERT

Author 1: Ashok Kumar Durairaj Author 2: Anandan Chinnalagu

The Bidirectional Encoder Representations from Transformers (BERT) is a state-of-the-art language model used for multiple natural language processing tasks and sequential modeling applications. The accuracy of predictions from context-based sentiment and analysis of customer review data from various social media platforms are challenging and time-consuming tasks due to the high… Read full abstract & cite →

Transformers model BERT sequential model deep learning RNN LSVM LSTM BiLSTM fastText

Abstract doi.org/10.14569/IJACSA.2021.0121153 PDF

54

A New Energy-efficient Multi-hop Routing Protocol for Heterogeneous Wireless Sensor Networks

Author 1: Rowayda A. Sadek Author 2: Doha M. Abd-alazeem Author 3: Mohamed M. Abbassy

Energy use of sensor nodes efficiently and extending the lifetime of heterogeneous wireless sensor networks (HWSNs) is a main goal of HWSNs routing optimization methods, and therefore building an energy-efficient routing protocol becomes critical for HWSN performance improvement. They present an energy-efficient routing protocol based on the grey wolf optimizer… Read full abstract & cite →

Heterogeneous wireless sensor networks (HWSNs) forwarding of reliable route packets (FRRPs) grey wolf optimizer (GWO) routing optimization tabu search algorithm (TSA) quality of service (QoS)

Abstract doi.org/10.14569/IJACSA.2021.0121154 PDF

55

Improved GRASP Technique based Resource Allocation in the Cloud

Author 1: Madhukar E Author 2: Ragunathan T

In the era of cloud computing, everyone is somehow using cloud resources. However, the resources are limited in the Cloud. Cloud vendors look for enhanced returns on investments. Promising return on investment is possible only when the cloud resources are scheduled efficiently to execute jobs within the stipulated time. However… Read full abstract & cite →

Cloud computing task scheduling meta-heuristics fixed set search GRASP resource allocation

Abstract doi.org/10.14569/IJACSA.2021.0121155 PDF

56

Ada-IDS: AdaBoost Intrusion Detection System for ICMPv6 based Attacks in Internet of Things

Author 1: A. Arul Anitha Author 2: L. Arockiam

The magical buzzword Internet of Things (IoT) connects any objects which are diverse in nature. The restricted capacity, heterogeneity and large scale implementation of the IoT technology tend to have lot of security threats to the IoT networks. RPL is the routing protocol for the constraint devices like IoT nodes… Read full abstract & cite →

IoT ICMPv6 version number attack DIS attack DAO attack Ada-IDS

Abstract doi.org/10.14569/IJACSA.2021.0121156 PDF

57

Analytical Framework for Binarized Response for Enhancing Knowledge Delivery System

Author 1: Chethan G S Author 2: Vinay S

The student feedback offer effective insight into their experience of knowledge transfer, routinely collected in academic institutions. However, the existing research literature lacks reporting whether the comments in education system are helpful or non-useful. Most of the existing works are limited to sentiment polarity computation only, and teacher evaluation is… Read full abstract & cite →

Education knowledge transfer machine learning natural language processing student feedback

Abstract doi.org/10.14569/IJACSA.2021.0121157 PDF

58

A Linguistic Analysis Metric in Detecting Ransomware Cyber-attacks

Author 1: Diana Florea Author 2: Wayne Patterson

Originating and striking from anywhere, cyber-attacks have become ever more sophisticated in our modern society and users are forced to adopt increasingly good and vigilant practices to protect from them. Among these, ransomware remains a major cyber-attack whose major threat to end users (disrupted operations, restricted files, scrambled sensitive data… Read full abstract & cite →

Cyber-security cyber-attacks machine translation language Levenshtein distance

Abstract doi.org/10.14569/IJACSA.2021.0121158 PDF

59

Design and Implementation of Dynamic Packet Scheduling with Waiting Time Aware: DPSW2A

Author 1: K Raghavendra Rao Author 2: B N Jagadesh

One of the principal goals of 5G is to enhance performance in connection with speed and delay curtailment. To accomplish this, IETF has proposed Multipath TCP to utilize the accessible interface for communication. The demand for mobile communication is escalating day by day. The predominant communication option for people is… Read full abstract & cite →

MPTCP scheduler latency delay transport protocol waiting time

Abstract doi.org/10.14569/IJACSA.2021.0121159 PDF

60

Evaluating Domain Knowledge and Time Series Features for Automated Detection of Schizophrenia from EEG Signals

Author 1: Saqib Hussain Author 2: Nasrullah Pirzada Author 3: Erum Saba Author 4: Muhammad Aamir Panhwar Author 5: Tanveer Ahmed

Over the recent years, Schizophrenia has become a serious mental disorder that is affecting almost 21 million people globally. There are different symptoms to recognize schizophrenia from healthy people. It can affect the thinking pattern of the brain. Delusions, hallucinations, and disorganized speech are the common symptoms of Schizophrenia. In… Read full abstract & cite →

Artificial intelligence (AI) Logistic Regression (LR) smote-class weight (S-CW) borderline smote-class weight (BS-CW) electroencephalography Time Series Feature Extraction Library (TSFEL)

Abstract doi.org/10.14569/IJACSA.2021.0121160 PDF

61

Long Term Solar Power Generation Prediction using Adaboost as a Hybrid of Linear and Non-linear Machine Learning Model

Author 1: Sana Mohsin Babbar Author 2: Chee Yong Lau Author 3: Ka Fei Thang

The usage of renewable energy sources has increased manifolds in terms of electric utilities. From other non-conventional sources, solar energy has been seen as a promising and convenient source used around the globe. In terms of meeting the daily requirements, solar energy has huge potential to fulfil the world’s demand… Read full abstract & cite →

Recurrent neural network (RNN) support vector machine (SVM) autoregressive with exogenous variable (ARX) adaptive boosting (Adaboost) and photovoltaic system (PV)

Abstract doi.org/10.14569/IJACSA.2021.0121161 PDF

62

HORAM: Hybrid Oblivious Random Access Memory Scheme for Secure Path Hiding in Distributed Environment

Author 1: Snehalata Funde Author 2: Gandharba Swain

Now-a-days in most of the sectors digitization has taken place to store data and process it easily with enhanced techniques. Online transactions produce very huge data daily in various sectors like health care, military, government office. To store huge data many firms, take the help of third-party organizations and store… Read full abstract & cite →

HORAM metadata data blocks privacy block shuffling

Abstract doi.org/10.14569/IJACSA.2021.0121162 PDF

63

Blockchain-based Secure Data Transmission for UAV Swarm using Modified Particle Swarm Optimization Path Planning Algorithm

Author 1: M. Kayalvizhi Author 2: S. Ramamoorthy

With the rapid development of unmanned aerial vehicles assisted applications enabled with a communication system, they are open to various malicious attacks. As a new form of flying things, they can access the network for better communication via the aerial base station. Most of the Unmanned aerial vehicles assisted flying… Read full abstract & cite →

Unmanned aerial vehicles path planning swarm optimization denial of service attack blockchain security and privacy data communication

Abstract doi.org/10.14569/IJACSA.2021.0121163 PDF

64

Resource Allocation in Spectrum Deployment for Cognitive Third-party Users

Author 1: Arikatla Jaya Lakshmi Author 2: G. N. Swamy Author 3: M. N. Giri Prasad

Spectrum scarcity is a major challenge in wireless communication for next generation applications. The spectrum sharing and utilization of other user available spectrum is an optimal solution, which has outcome with a new mode of communication called cognitive network. Cognitive devices are capable of requesting and sharing free spectrum among… Read full abstract & cite →

Slot monitoring spectrum sensing primary user (PU) secondary user (SU) third-party spectrum utilization (TSU)

Abstract doi.org/10.14569/IJACSA.2021.0121164 PDF

65

The Use of the Relational Concept in the Arabic Morphological Analysis

Author 1: Said Iazzi Author 2: Abderrazak Iazzi Author 3: Saida Laaroussi Author 4: Abdellah Yousfi

The Arabic language differs from other natural languages in its structures and compositions. In this article we have developed an Arabic morphological analyzer. For this, we have used the relational concept in the database to build our Arabic morphological analyzer. This analyzer uses a set of tables which are linked… Read full abstract & cite →

Arabic language rules morphology morphological analyzers database relational concept

Abstract doi.org/10.14569/IJACSA.2021.0121165 PDF

66

Development of Wearable System to Help Preventing the Spread of Covid-19 in Public Indoor Area

Author 1: Annisa Istiqomah Arrahmah Author 2: Surya Ramadhan

Smart wearables as a part of the Internet of Things nowadays gaining confidence in our daily lives because of its accessibility and simplicity. Today, with the outbreak of Coronavirus around the world, a smart wearable device can become another solution to help slowing the virus spreading by ensuring public health… Read full abstract & cite →

Wearable device healthcare system COVID-19 door-lock system radio signal strength indicator (RSSI)

Abstract doi.org/10.14569/IJACSA.2021.0121166 PDF

67

A Comparative Study of Segmentation Method for Computer-aided Diagnosis (CAD) Leukemia AML Subtype M0, M1, and M2

Author 1: Wiharto Author 2: Wisnu Widiarto Author 3: Esti Suryani Author 4: Nurmajid Hidayatullah

A computer-based diagnosis model for Acute Myelogenous Leukemia (AML) is carried out using white blood cell image processing. The stages in computer-aided diagnosis (CAD) are included pre-processing, segmentation, feature extraction, and classification. The segmentation method has many approaches, namely, clustering, region growing, and thresholding. The number of approaches that can… Read full abstract & cite →

Acute myelogenous leukemia leukemia segmentation feature extraction classification

Abstract doi.org/10.14569/IJACSA.2021.0121167 PDF

68

EC-Elastic an Explicit Congestion Control Mechanism for Named Data Networking

Author 1: Asmaa EL-BAKKOUCHI Author 2: Mohammed EL GHAZI Author 3: Anas BOUAYAD Author 4: Mohammed FATTAH Author 5: Moulhime EL BEKKALI

In recent years, Named Data Networking (NDN) has attracted researchers’ attention as a new internet architecture. NDN changes the internet communication paradigm from a host-to-host IP model to a name-based model. Thus, NDN permits the retrieval of requested content by name, from different sources and via multiple paths, and the… Read full abstract & cite →

NDN named data networking congestion control explicit congestion control TCP-elastic

Abstract doi.org/10.14569/IJACSA.2021.0121168 PDF

69

1D-CNN based Model for Classification and Analysis of Network Attacks

Author 1: Kuljeet Singh Author 2: Amit Mahajan Author 3: Vibhakar Mansotra

With the advancement in technology and upsurge in network devices, more and more devices are getting connected to the network leading to more data and information on the network which emphasizes the security of the network to be of paramount importance. Malicious traffic must be detected in networks and machine… Read full abstract & cite →

1D-CNN CICIDS2017 network attacks deep learning

Abstract doi.org/10.14569/IJACSA.2021.0121169 PDF

70

Applying Grey Systems and Inverse Distance Weighted Method to Assess Water Quality from a River

Author 1: Alexi Delgado Author 2: Anthonny Fernandez Author 3: Eduardo Lozano Author 4: Dennis Miguel Author 5: Félix León Author 6: Jhosep Arteta Author 7: Ch. Carbajal

The Cañete River basin, in Peru, has suffered an increase in pollution due to various causes, among the main ones being the lack of knowledge, culture of individuals and municipal authorities, economic activities, among others. We analyze this degree of pollution reflected in the upper part of the Cañete river… Read full abstract & cite →

Grey systems inverse distance weighted (IDW) water quality

Abstract doi.org/10.14569/IJACSA.2021.0121170 PDF

71

Unsupervised Machine Learning Approach for Identifying Biomechanical Influences on Protein-Ligand Binding Affinity

Author 1: Arjun Singh

Drug discovery is incredibly time-consuming and expensive, averaging over 10 years and $985 million per drug. Calculating the binding affinity between a target protein and a ligand through Virtual Screening is critical for discovering viable drugs. Although supervised machine learning (ML) can predict binding affinity accurately, models experience severe overfitting… Read full abstract & cite →

Drug discovery unsupervised machine learning feature engineering protein-ligand binding affinity virtual screening

Abstract doi.org/10.14569/IJACSA.2021.0121171 PDF

72

Statistical Analysis of Cybersecurity Awareness Issues in Higher Education Institutes

Author 1: Latifa Alzahrani

Now-a-days, computers and the Internet are becoming increasingly indispensable tools in several aspects of our lives, including academic study, professional work, entertainment, and communication. Despite the significant advantages of information technology, particularly in information accessibility and internet applications, cyber security has risen to become a national concern in Saudi Arabia… Read full abstract & cite →

Cyber security cyber security awareness educational institutes cyber risk higher education cyber trust

Abstract doi.org/10.14569/IJACSA.2021.0121172 PDF

73

Ontology-based Daily Menu Recommendation System for Complementary Food According to Nutritional Needs using Naïve Bayes and TOPSIS

Author 1: Mujahidah Showafah Author 2: Sari Widya Sihwi Author 3: Winarno

Babies begin to be given complementary feeding at the age of 6 to 24 months. Complementary foods given to babies need to meet nutritional needs according to their ages. Since, at these ages, babies are just learning to eat, it is necessary to plan a complementary food menu referring to… Read full abstract & cite →

Calorie complementary food babies Naïve Bayes nutrition needs ontology recommendation system SUS TOPSIS

Abstract doi.org/10.14569/IJACSA.2021.0121173 PDF

74

Emerging Requirement Engineering Models: Identifying Challenges is Important and Providing Solutions is Even Better

Author 1: Hina Noor Author 2: Maheen Tariq Author 3: Anam Yousaf Author 4: Hafiz Wajid Ali Author 5: Arqam Abdul Moqeet Author 6: Abu Bakar Hamid Author 7: Mahek Hanif Author 8: Huma Naz Author 9: Nabeel Tariq Author 10: Ijaz Amin Author 11: Osama Naseer

Requirement Engineering is one of the most crucial tasks because it serves as the foundation for any software. Four pillars of requirement engineering procedures underpin the entire software. The bricks that make up the software edifice are functional and non-functional needs. Finally, design, implementation, and testing add stories to the… Read full abstract & cite →

Requirement engineering current requirement engineering methods emerging models for requirement engineering challenges pros and cons

Abstract doi.org/10.14569/IJACSA.2021.0121174 PDF

75

An Advanced Ontology based Deep Learning for Computer-aided Interpretation of Mammography Images

Author 1: Hamida Samiha Rahli Author 2: Nacéra Benamrane

This paper has been removed. Read full abstract & cite →

Computer assisted detection (CAD) breast cancer the digital database for screening mammography (DDSM) ontology deep learning breast imaging-reporting and data system (BIRADS)

Abstract doi.org/10.14569/IJACSA.2021.0121175 PDF

76

Electronic Commerce Product Recommendation using Enhanced Conjoint Analysis

Author 1: Andrew Brian Osmond Author 2: Fadhil Hidayat Author 3: Suhono Harso Supangkat

While finding any product, there are many identical products sold in the marketplace, so buyers usually compare the items according to the desired preferences, for example, price, seller reputation, product reviews, and shipping cost. From each preference, buyers count subjectively to make a final decision on which product is should… Read full abstract & cite →

Enhanced conjoint analysis marketplace ecommerce

Abstract doi.org/10.14569/IJACSA.2021.0121176 PDF

77

Normalisation of Indonesian-English Code-Mixed Text and its Effect on Emotion Classification

Author 1: Evi Yulianti Author 2: Ajmal Kurnia Author 3: Mirna Adriani Author 4: Yoppy Setyo Duto

Usage of code-mixed text has increased in re-cent years among Indonesian internet users, who often mix Indonesian-language with English-language text. Normalisation of this code-mixed text into Indonesian needs to be performed to capture the meaning of English parts of the text and process them effectively. We improve a state-of-the-art code-mixed… Read full abstract & cite →

Code-mixed normalisation Indonesian English emotion classification

Abstract doi.org/10.14569/IJACSA.2021.0121177 PDF

78

Sign Language Gloss Translation using Deep Learning Models

Author 1: Mohamed Amin Author 2: Hesahm Hefny Author 3: Ammar Mohammed

Converting sign language to a form of natural language is one of the recent areas of the machine learning domain. Many research efforts have focused on categorizing sign language into gesture or facial recognition. However, these efforts ignore the linguistic structure and the context of natural sentences. Traditional translation methods… Read full abstract & cite →

Sequence to sequence model neural machine trans-lation sign language deep learning LSTM GRU

Abstract doi.org/10.14569/IJACSA.2021.0121178 PDF

79

Swapping-based Data Sanitization Method for Hiding Sensitive Frequent Itemset in Transaction Database

Author 1: Dedi Gunawan Author 2: Yusuf Sulistyo Nugroho Author 3: Maryam

Sharing a transaction database with other parties for exploring valuable information becomes more recognized by business institutions, i.e., retails and supermarkets. It offers various benefits for the institutions, such as finding customer shopping behavior and frequently bought items, known as fre-quent itemsets. Due to the importance of such information, some… Read full abstract & cite →

Transaction database data sanitization data min-ing sensitive frequent itemset swapping-based method

Abstract doi.org/10.14569/IJACSA.2021.0121179 PDF

80

Software Security Static Analysis False Alerts Handling Approaches

Author 1: Aymen Akremi

False Positive Alerts (FPA), generated by Static Analyzers Tools (SAT), reduce the effectiveness of the automatic code review, letting them be underused in practice. Researchers conduct a lot of tests to improve SAT accuracy while keeping FPA at a lower rate. They use different simulated and production datasets to validate… Read full abstract & cite →

Software security static analysis false alert reduc-tion source code dataset security bugs

Abstract doi.org/10.14569/IJACSA.2021.0121180 PDF

81

CDRA: A Community Detection based Routing Algorithm for Link Failure Recovery in Software Defined Networks

Author 1: Muhammad Yunis Daha Author 2: Mohd Soperi Mohd Zahid Author 3: Babangida Isyaku Author 4: Abdussalam Ahmed Alashhab

The increase in size and complexity of the Internet has led to the introduction of Software Defined Networking (SDN). SDN is a new networking paradigm that breaks the limitations of traditional IP networks and upgrades the current network infrastructures. However, like traditional IP networks, network failures may also occur in… Read full abstract & cite →

Software Defined Network (SDN) community detection methods CDRA link failure

Abstract doi.org/10.14569/IJACSA.2021.0121181 PDF

82

A Reliable Lightweight Trust Evaluation Scheme for IoT Security

Author 1: Hamad Aldawsari Author 2: Abdel Monim Artoli

The rapid development of smart devices and the consequent demand their reliability have posed many challenges limiting their versatility. One of the most significant challenges is safeguarding the widespread network of sensors and devices within harsh remote environments. Numerous trust schemes have been proposed to overcome related IoT security concerns… Read full abstract & cite →

IoT security clustering trust energy efficient algorithm

Abstract doi.org/10.14569/IJACSA.2021.0121182 PDF

83

Multi-Criteria Decision-Making Approach for Selection of Requirements Elicitation Techniques based on the Best-Worst Method

Author 1: Abdulmajeed Aljuhani

During requirements elicitation stage, requirements engineers gather system requirements and drive stakeholders to convey needs and desired software functionality. The elicitation techniques used to acquire software requirements significantly impact the quality of elicited requirements. Several elicitation techniques have been proposed for the Requirement Engineering (RE) process; however, these techniques are… Read full abstract & cite →

Requirements elicitation elicitation techniques de-cision support methods Best-Worst Method BWM

Abstract doi.org/10.14569/IJACSA.2021.0121183 PDF

84

e-Business Model to Optimise Sales through Digital Marketing in a Peruvian Company

Author 1: Misael Lazo-Amado Author 2: Leoncio Cueva-Ruiz Author 3: Laberiano Andrade-Arenas

The COVID-19 pandemic has affected the Peruvian market, generating a great loss in sales in Peruvian companies. The objective of the research is to develop a model to optimize sales with the use of digital marketing in a Peruvian company, the chosen methodology is DesingScrum, which is a hybrid of… Read full abstract & cite →

Design thinking desingScrum methodology digital marketing e-Business scrum

Abstract doi.org/10.14569/IJACSA.2021.0121184 PDF

85

A Fast and Efficient Algorithm for Outlier Detection Over Data Streams

Author 1: Mosab Hassaan Author 2: Hend Maher Author 3: Karam Gouda

Outlier detection over data streams is an important task in data mining. It has various applications such as fraud detection, public health, and computer network security. Many approaches have been proposed for outlier detection over data streams such as distance-,clustering-, density-, and learning-based approaches. In this paper, we are interested… Read full abstract & cite →

Data mining outlier detection data streams density-based approach clustering-based approach

Abstract doi.org/10.14569/IJACSA.2021.0121185 PDF

87

Near-ground Measurement and Modeling for Archaeological Park of Pisac in Cusco for LoRa Technology

Author 1: Yhon D. Lezama Author 2: Jinmi Lezama Author 3: Jorge Arizaca-Cusicuna

This research work presents the details of a near-ground received power measurement and modeling based on it, inside the archaeological park of Pisac in the city of Cusco. The measurements were performed at a working frequency of 920 MHz in the industrial, scientific, and medical (ISM) band, using transceiver devices… Read full abstract & cite →

Archaeological park LoRa propagation model statistics near-ground

Abstract doi.org/10.14569/IJACSA.2021.0121187 PDF

88

Development of Predictions through Machine Learning for Sars-Cov-2 Forecasting in Peru

Author 1: Shal´om Adonai Huaraz Morales Author 2: Marissel Fabiola Mio Antayhua Author 3: Laberiano Andrade-Arenas

The SARS-COV-2 virus of the coronavirus family was identified in 2019. This is a type of virus that infects humans and some animals, in Peru it has seriously affected everyone, causing so many deaths, which has resulted in that people be tested to rule out contagion, using laboratory methods recommended… Read full abstract & cite →

Forecast laboratory methods machine learning Python SARS-COV-2

Abstract doi.org/10.14569/IJACSA.2021.0121188 PDF

89

Inclusive Education: Implementation of a Mobile Application for Blind Students

Author 1: Alejandro Boza-Chua Author 2: Karen Gabriel-Gonzales Author 3: Laberiano Andrade-Arenas

Currently, the world is going through an era of changes in the education sector, but most Latin American countries are lagging, especially Peru, which does not have the technological tools that allow it to advance to an adequate level of inclusion of disabled students, especially blind students who are 60%… Read full abstract & cite →

Blind disability educational inclusion mobile ap-plication scrum methodology

Abstract doi.org/10.14569/IJACSA.2021.0121189 PDF

90

Design and Implementation of HSQL: A SQL-like language for Data Analysis in Distributed Systems

Author 1: Anurag Singh Bhadauria Author 2: Atreya Bain Author 3: Jyoti Shetty Author 4: Shobha G Author 5: Arjuna Chala Author 6: Jeremy Clements

In today’s modern world, we’re experiencing a substantial increase in the use of data in various fields, and this has necessitated the use of distributed systems to consume and process Big Data. Machine learning tends to benefit from the usage of Big Data, and the models generated from such techniques… Read full abstract & cite →

ANTLR4 big data context free grammar dis-tributed systems HPCC Javascript language machine learning Parser SQL transpiler

Abstract doi.org/10.14569/IJACSA.2021.0121190 PDF

91

Factors Influencing the Adoption of Cyber Security Standards Among Public Listed Companies in Malaysia

Author 1: Mohamed Abdalla Author 2: Muath Jarrah Author 3: Ahmed Abu-Khadrah Author 4: Yusri bin Arshad

Employee’s failure to adhere to their organization’s cyber security policies contributes most of the cyber incidents. To secure information security systems, companies need to communicate behavioral and technical solutions to their employees, due to the fragility of the human factor since it plays a critically significant role in securing cyber… Read full abstract & cite →

Cyber security human factor cyberspace cyber security standards

Abstract doi.org/10.14569/IJACSA.2021.0121191 PDF

92

Novel Algorithm Utilizing Deep Learning for Enhanced Arabic Lip Reading Recognition

Author 1: Doaa Sami Khafaga Author 2: Hanan A. Hosni Mahmoud Author 3: Norah S. Alghamdi Author 4: Amani A. Albraikan

Computerized lip reading is the science of translating visemes and oral lip reading into written text, where visemes are lip movement without sound. Video processing is applied for the recognition of those visemes. Previous research developed automated systems to for computerized lip reading recognition to be hearing-impaired aid. Many challenges… Read full abstract & cite →

Lip reading deep CNN deep learning recognition viseme

Abstract doi.org/10.14569/IJACSA.2021.0121192 PDF