IJACSA Vol. 12 Issue 7 (2021)

1

Edge-based Video Analytic for Smart Cities

Author 1: Dipak Pudasaini Author 2: Abdolreza Abhari

Video analytic is the important tool for smart city development. The video analytic application requires more memories and high processing devices. The problems of cloud-based approach for video analytic are high latency and more network bandwidth to transfer data into the cloud. To overcome these problems, we propose a model… Read full abstract & cite →

Video analytic cloud computing smart city object detection object tracking edge network

Abstract doi.org/10.14569/IJACSA.2021.0120701 PDF

2

SmartTS: A Component-Based and Model-Driven Approach to Software Testing in Robotic Software Ecosystem

Author 1: Vineet Nagrath Author 2: Christian Schlegel

Validating the behaviour of commercial off-the-shelf components and of interactions between them is a complex, and often a manual task. Treated like any other software product, a software component for a robot system is often tested only by the component developer. Test sets and results are often not available to… Read full abstract & cite →

Model-Driven Engineering (MDE) Component-Based Software Engineering (CBSE) Model-Driven Testing (MDT) Component-Based Software Testing (CBST) Service Robotics Software Quality Automated Software Testing

Abstract doi.org/10.14569/IJACSA.2021.0120702 PDF

3

Vietnamese Short Text Classification via Distributed Computation

Author 1: Hiep Xuan Huynh Author 2: Linh Xuan Dang Author 3: Nghia Duong-Trung Author 4: Cang Thuong Phan

Social networking has been growing rapidly in Vietnam. The sharing information is diverse and circulates in many forms. It requires user-friendly solutions such as topic sorting and perspectives analysis in analyzing community trends, advertisements or anticipating and monitoring the spread of bad news. Unfortunately, Vietnamese is highly different from other… Read full abstract & cite →

Short text classification na¨ive bayes apache spark vietnamese distributed computation

Abstract doi.org/10.14569/IJACSA.2021.0120703 PDF

4

Development of Intelligent Tools for Detecting Resource-intensive Database Queries

Author 1: Salah M.M. Alghazali Author 2: Konstantin Polshchykov Author 3: Ahmad M. Hailan Author 4: Lyudmila Svoykina

The detection of resource-intensive queries which consume an excessive amount of time, processor, disk, and memory resources is one of the most popular vulnerabilities of Database Management Systems (DBMS). The tools for monitoring and optimizing queries typically used in modern DBMS were analyzed, and their shortcomings were identified. Subsequently, the… Read full abstract & cite →

Resource-intensive queries database detecting self-organizing Kohonen maps statistical parameters

Abstract doi.org/10.14569/IJACSA.2021.0120704 PDF

5

A New Approach for Network Steganography Detection based on Deep Learning Techniques

Author 1: Cho Do Xuan Author 2: Lai Van Duong

One of the techniques that current cyber-attack methods often use to steal and transmit data out is to hide secret data in packets. This is the network steganography technique. Because millions of packets are sent and received every hour in internet activity, so it is very difficult to detect the… Read full abstract & cite →

Network steganography network steganography detection method abnormal packets deep learning techniques

Abstract doi.org/10.14569/IJACSA.2021.0120705 PDF

6

Is Face Recognition with Masks Possible?

Author 1: Yaaseen Muhammad Saib Author 2: Sameerchand Pudaruth

With the recent outbreak of the COVID-19 pandemic, wearing face masks has become extremely important to protect us, and to reduce the spread of the virus. This measure has made many existing face recognition systems ineffective as they were trained to work with unmasked faces. In this paper, several methods… Read full abstract & cite →

Face detection face recognition face mask deep learning VGG16 MobileNetV2 HOG

Abstract doi.org/10.14569/IJACSA.2021.0120706 PDF

7

Requirements Engineering: A State of Practice in Gulf Cooperation Countries

Author 1: Asaad Alzayed Author 2: Abdulwahed Khalfan

Requirement Engineering (RE) is one of the crucial elements for successful software development. Nevertheless, in terms of research discussing the failure or success of various products, little has been undertaken to examine this area as it pertains to the Gulf Cooperation Council (GCC) nations, i.e. Saudi Arabia (KSA), Kuwait, United… Read full abstract & cite →

Requirements engineering project success software development requirements engineering practices GCC countries

Abstract doi.org/10.14569/IJACSA.2021.0120707 PDF

8

Structural Limitations with K Means Algorithms in Research in Perú

Author 1: Javier Pedro Flores Arocutipa Author 2: Jorge Jinchuña Huallpa Author 3: Julio César Lujan Minaya Author 4: Ruth Daysi Cohaila Quispe Author 5: Juan Luna Carpio Author 6: Gamaniel Carbajal Navarro

In the world of science there are high-level, moderate-level, and low-level emerging countries. The indicators are an investment in research and development (I&D), number of universities, investment, researchers, intellectual production, expenditure on education, gross domestic product (PBI), and quality of life (IDH). In Methodology, it is basic, explanatory, of conglomerates… Read full abstract & cite →

Researchers PBIpc investment in I&D exports universities

Abstract doi.org/10.14569/IJACSA.2021.0120708 PDF

9

The Effects of Adaptive Feedback on Student’s Learning Gains

Author 1: Andrew Thomas Bimba Author 2: Norisma Idris Author 3: Ahmed Al-Hunaiyyan Author 4: Salwa Ungku Ibrahim Author 5: Naharudin Mustafa Author 6: Izlina Supa’at Author 7: Norazlin Zainal Author 8: Mohd Yahya Ahmad

There is an increase in the implementation of adap-tive feedback models, which focus on the relationship between adaptive feedback and learning gains. These literatures suggest that the complex relationship between feedback, task complexity, pedagogical principles and student’s characteristics affect the significance of feedback effects. However, current studies have shown insufficient… Read full abstract & cite →

Authoring tools and methods evaluation of CAL systems intelligent tutoring systems teaching/learning strategies pedagogical issues

Abstract doi.org/10.14569/IJACSA.2021.0120709 PDF

10

A Fuzzy MCDM Approach for Structured Comparison of the Health Literacy Level of Hospitals

Author 1: Abed Saif Ahmed Alghawli Author 2: Adel A. Nasser Author 3: Mijahed N. Aljober

The primary objective of this study is to develop a hybrid multi-criteria decision-making (MCDM) model to evaluate and compare the organizational health literacy responsiveness (OHLR) level of hospitals. To achieve this goal, the health literacy performance indicators are selected, some potential uses of single and hybrid MCDM and qualitative approaches… Read full abstract & cite →

Health literacy the organizational health literacy standard fuzzy analytic hierarchy process fuzzy Delphi method structured comparison

Abstract doi.org/10.14569/IJACSA.2021.0120710 PDF

11

WorkStealing Algorithm for Load Balancing in Grid Computing

Author 1: Hadeer S. Hossam Author 2: Hala Abdel-Galil Author 3: Mohamed Belal

Grid computing is a computer network in which many resources and services are shared for performing a specific task. The term grid appeared in the mid-1990s and due to the computational capabilities, efficiency and scalability provided by the shared resources, it is used nowadays in many areas, including business, e-libraries… Read full abstract & cite →

Grid computing static scheduling dynamic scheduling load balancing directed acyclic graph (DAG)

Abstract doi.org/10.14569/IJACSA.2021.0120711 PDF

12

Multi-parameter Coordinated Public School Admission Model by using Stable Marriage

Author 1: Purba Daru Kusuma

School admission is a very important process in improving the education quality. Meanwhile, one problem in the school admission system is the mismatch. There are unassigned applicants and unallocated seats. In Indonesia, zone-based model is adopted in the public-school admission system. Students are assigned to their nearest school. Besides location… Read full abstract & cite →

School admission school choice stable marriage deferred-acceptance education

Abstract doi.org/10.14569/IJACSA.2021.0120712 PDF

13

IoT-based Smart Greenhouse with Disease Prediction using Deep Learning

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

Rapid industrialization and urbanization has led to decrease in agricultural land and productivity worldwide. This is combined with increasing demand of chemical free organic vegetables by the educated urban households, and thus, greenhouses are quickly catching trend for their specialized advantages especially in extreme weather countries. They provide an ideal… Read full abstract & cite →

Cloud deep learning greenhouse humidity IoT soil moisture temperature

Abstract doi.org/10.14569/IJACSA.2021.0120713 PDF

14

Snapshot of Energy Optimization Techniques to Leverage Life of Wireless Sensor Network

Author 1: Kavya A P Author 2: D J Ravi

Energy Optimization in Wireless Sensor Network (WSN) deals with the techniques which targets higher degree of energy efficiency using resource-constraint sensor nodes with minimal inclusion of any different variants of resources. At present, there are various approaches and techniques towards addressing the problems of energy but not all the research… Read full abstract & cite →

Battery energy efficiency energy optimization network lifetime sensor node wireless sensor network

Abstract doi.org/10.14569/IJACSA.2021.0120714 PDF

15

Truck Scheduling Model in the Cross-docking Terminal by using Multi-agent System and Shortest Remaining Time Algorithm

Author 1: Purba Daru Kusuma

One most important and critical problem in a cross-docking system is truck scheduling. Many studies in it assumed that the temporary storage is unlimited which is in the real world, the temporary storage is limited. Many studies focus on minimizing total completion time. Meanwhile, studies that focus on minimizing temporary… Read full abstract & cite →

Truck scheduling cross-docking system multi agent system shortest remaining time intelligent supply chain

Abstract doi.org/10.14569/IJACSA.2021.0120715 PDF

16

A Note on Time and Space Complexity of RSA and ElGamal Cryptographic Algorithms

Author 1: Adeniyi Abidemi Emmanuel Author 2: Okeyinka Aderemi E Author 3: Adebiyi Marion O Author 4: Asani Emmanuel O

The computational complexity study of algorithms is highly germane to the design and development of high-speed computing devices. The whole essence of computation is principally influenced by efficiency of algorithms; this is more so the case with the algorithms whose solution space explodes exponentially. Cryptographic algorithms are good examples of… Read full abstract & cite →

RSA algorithm ElGamal algorithm time complexity space complexity data security

Abstract doi.org/10.14569/IJACSA.2021.0120716 PDF

17

Anomaly Detection on Medical Images using Autoencoder and Convolutional Neural Network

Author 1: Rashmi Siddalingappa Author 2: Sekar Kanagaraj

Detection of anomalies from the medical image dataset improves prognosis by discovering new facts hidden in the data. The present study aims to discuss anomaly detection using autoencoders and convolutional neural networks. The autoencoder identifies the imbalance between normal and abnormal samples. They create learning models flexible and accurate on… Read full abstract & cite →

Anomalies autoencoder convolutional neural networks (CNN) (ConvNets) deep neural network architecture regularization

Abstract doi.org/10.14569/IJACSA.2021.0120717 PDF

18

A Comparative Study of Unimodal and Multimodal Interactions for Digital TV Remote Control Mobile Application among Elderly

Author 1: Nor Azman Ismail Author 2: Nurul Aiman Ab Majid Author 3: Nur Haliza Abdul Wahab Author 4: Farhan Mohamed

A research was conducted to study user interactions design for the TV remote control applications that are preferable among the elderly. Now-a-days smart home concept is widely accepted around the globe. Many applications were developed based on smart home concepts, such as smart remote-control applications for TVs and air conditioners… Read full abstract & cite →

HCI usability testing unimodal multimodal elderly

Abstract doi.org/10.14569/IJACSA.2021.0120718 PDF

19

Harnessing Emotive Features for Emotion Recognition from Text

Author 1: Rutal Mahajan Author 2: Mukesh Zaveri

With the prevalence of affective computing, emotion recognition becomes vital in any work related to natural language understanding. The inspiration for this work is provided by supplying machines with complete emotional intelligence and integrating them into routine life to satisfy complex human desires and needs. The text being a common… Read full abstract & cite →

Emotion recognition emotive features natural language processing affective computing

Abstract doi.org/10.14569/IJACSA.2021.0120719 PDF

20

Monte Carlo Ray Tracing based Method for Investigation of Multiple Reflection among Trees

Author 1: Kohei Arai

Monte Carlo Ray Tracing (MCRT) method for investigation of the multiple reflection among trees is proposed. For the forest research (Leaf Area Index: LAI, Normalized Difference Vegetation Index: NDVI, forest type, tree age, etc.) with spaceborne based optical sensor data, some errors due to influences of the multiple reflection among… Read full abstract & cite →

Radiative transfer equation Monte Carlo ray tracing: MCRT multi reflection among trees forest research canopy reflectance ellipse and cone shaped trees model

Abstract doi.org/10.14569/IJACSA.2021.0120720 PDF

21

Recent Progress on Bio-mechanical Energy Harvesting System from the Human Body: Comprehensive Review

Author 1: Mohankumar V Author 2: G.V. Jayaramaiah

Energy harvesting is a powerful technique to produce clean and renewable energy with better infrastructure improvement. The exhaustive review of recent progress and development in bio-mechanical energy harvesting (BMEH) techniques from human body is discussed in this manuscript. The BMEH from the human body is categorized into three parts, namely… Read full abstract & cite →

Bio-mechanical energy harvesting electromagnetic human-body piezoelectric triboelectric

Abstract doi.org/10.14569/IJACSA.2021.0120721 PDF

22

CRS-iEclat: Implementation of Critical Relative Support in iEclat Model for Rare Pattern Mining

Author 1: Wan Aezwani Wan Abu Bakar Author 2: Mustafa Man Author 3: Zailani Abdullah Author 4: Mahadi B Man

The research purpose is to develop a performance enhancement in Incremental Eclat (iEclat) model by embedding Critical Relative Support (CRS) in mining of infrequent itemset. The CRS measure acts as an interestingness measure (filter) in iEclat model that comprises of i-Eclat-diffset algorithm, i-Eclat-sortdiffset algorithm and i-Eclat-postdiffset algorithm for infrequent (rare)… Read full abstract & cite →

Critical relative support equivalence class transformation (Eclat) iEclat model interestingness measure

Abstract doi.org/10.14569/IJACSA.2021.0120722 PDF

23

Pre-trained CNNs Models for Content based Image Retrieval

Author 1: Ali Ahmed

Content based image retrieval (CBIR) systems is a ‎common recent method for image retrieval and is ‎based mainly ‎on two pillars extracted features and similarity measures. Low ‎level image presentations, ‎based on colour, texture and shape ‎properties are the most common feature extraction methods used ‎by ‎traditional CBIR systems. Since… Read full abstract & cite →

Pre-trained deep neural networks transfer learning content based image retrieval

Abstract doi.org/10.14569/IJACSA.2021.0120723 PDF

24

Independent Task Scheduling in Cloud Computing using Meta-Heuristic HC-CSO Algorithm

Author 1: Jai Bhagwan Author 2: Sanjeev Kumar

Cloud computing is a vital paradigm of emerging technologies. It provides hardware, software, and development platforms to end-users as per their demand. Task scheduling is an exciting job in the cloud computing environment. Tasks can be divided into two categories dependent and independent. Independent tasks are not connected to any… Read full abstract & cite →

Crow search algorithm (CSA) cat swarm optimization (CSO) H-CSO algorithm HC-CSO algorithm heft algorithm SMIW (self-motivated inertia weight) independent tasks particle swarm optimization (PSO) QoS (Quality of Service) virtual machines (VMs)

Abstract doi.org/10.14569/IJACSA.2021.0120724 PDF

25

Detecting Website Defacement Attacks using Web-page Text and Image Features

Author 1: Trong Hung Nguyen Author 2: Xuan Dau Hoang Author 3: Duc Dung Nguyen

Recently, web attacks in general and defacement attacks in particular to websites and web applications have been considered one of major security threats to many enterprises and organizations who provide web-based services. A defacement attack can result in a critical effect to the owner’s website, such as instant discontinuity of… Read full abstract & cite →

Website defacement attacks website defacement detection machine learning-based website defacement detection deep learning-based website defacement detection

Abstract doi.org/10.14569/IJACSA.2021.0120725 PDF

26

Preprocessing Handling to Enhance Detection of Type 2 Diabetes Mellitus based on Random Forest

Author 1: Nur Ghaniaviyanto Ramadhan Author 2: Adiwijaya Author 3: Ade Romadhony

Diabetes is a non-communicable disease that has a death rate of 70% in the world. Majority of diabetes cases, 90-95%, are of diabetes cases are type 2 diabetes which is caused by an unhealthy lifestyle. Type 2 diabetes can be detected earlier by using examination that contains diabetes-related parameters. However… Read full abstract & cite →

Diabetes mellitus data preprocessing data augmentation random forest classification

Abstract doi.org/10.14569/IJACSA.2021.0120726 PDF

27

Grey Clustering Approach to Assess Sediment Quality in a Watershed in Peru

Author 1: Alexi Delgado Author 2: Jossel Altaminarano Author 3: Luis Pariona Author 4: Patricia Oscanoa Author 5: Stephany Esquivel Author 6: Wendy Mejía Author 7: Chiara Carbajal

The evaluation of sediment quality is a relevant topic that involves the analysis of various parameters that are altered by natural or anthropogenic causes. Therefore, the Grey Clustering method provides an alternative to evaluate sediment quality. In the present study, the sediment quality of the Chontayacu river watershed was evaluated… Read full abstract & cite →

Grey clustering sediment quality watershed

Abstract doi.org/10.14569/IJACSA.2021.0120727 PDF

28

Dynamic Phrase Generation for Detection of Idioms of Gujarati Language using Diacritics and Suffix-based Rules

Author 1: Jatin C. Modh Author 2: Jatinderkumar R. Saini

Gujarati is the language used for everyday communication in the state of Gujarat, India. The Gujarati language is also officially recognized by the constitution and the government of India. Gujarati script is based on the Devanagari script. An idiom is an expression, phrase, or word that has a different meaning… Read full abstract & cite →

Diacritic Gujarati idiom machine translation system (MTS) natural language processing (NLP) suffix unicode transformation format (UTF)

Abstract doi.org/10.14569/IJACSA.2021.0120728 PDF

29

Copy Move Forgery Detection Techniques: A Comprehensive Survey of Challenges and Future Directions

Author 1: Ibrahim A. Zedan Author 2: Mona M. Soliman Author 3: Khaled M. Elsayed Author 4: Hoda M. Onsi

Digital Image Forensics is a growing field of image processing that attempts to gain objective ‎proof ‎of the origin and veracity of a visual image. Copy-move forgery detection (CMFD) has ‎currently ‎become an active research topic in the passive/blind image forensics field. There has no ‎doubt that ‎conventional techniques and… Read full abstract & cite →

Image forensics copy-move forgery detection (CMFD) conventional techniques deep learning techniques

Abstract doi.org/10.14569/IJACSA.2021.0120729 PDF

30

LSTM, VADER and TF-IDF based Hybrid Sentiment Analysis Model

Author 1: Mohamed Chiny Author 2: Marouane Chihab Author 3: Omar Bencharef Author 4: Younes Chihab

Most sentiment analysis models that use supervised learning algorithms consume a lot of labeled data in the training phase in order to give satisfactory results. This is usually expensive and leads to high labor costs in real-world applications. This work consists in proposing a hybrid sentiment analysis model based on… Read full abstract & cite →

Sentiment analysis hybrid model long short-term memory (LSTM) Valence Aware Dictionary and sEntiment Reasoner (VADER) term frequency-inverse document frequency (TF-IDF) classification algorithm

Abstract doi.org/10.14569/IJACSA.2021.0120730 PDF

31

Multiple Relay Nodes Selection Scheme using Exit Time Variation for Efficient Data Dissemination in VANET

Author 1: Deepak Gupta Author 2: Rakesh Rathi Author 3: Shikha Gupta Author 4: Neetu Sharma

Efficient Data dissemination in VANET is still the challenge because of variable speed of vehicles, road conditions, frequent fragmentation etc. In this article a selective forwarding data dissemination scheme using exit time differences in vehicles for highway lanes scenario is proposed that focuses on the solution of broadcast storm, less… Read full abstract & cite →

Broadcasting disseminations exit time highway lanes relay nodes vehicle speed vehicular ad hoc networks

Abstract doi.org/10.14569/IJACSA.2021.0120731 PDF

32

IoT-based Closed Algal Cultivation System with Vision System for Cell Count through ImageJ via Raspberry Pi

Author 1: Lean Karlo S. Tolentino Author 2: Sheila O. Belarmino Author 3: Justin Gio N. Chan Author 4: Oliver D. Cleofas Jr Author 5: Jethro Gringo M. Creencia Author 6: Meryll Eve L. Cruz Author 7: JC Glenn B. Geronimo Author 8: John Peter M. Ramos Author 9: Lejan Alfred C. Enriquez Author 10: Jay Fel C. Quijano Author 11: Edmon O. Fernandez Author 12: Maria Victoria C. Padilla

Spirulina platensis and other microalgae are now being considered in the different fields of research. It is due to the former’s endless potential let alone, its high protein content. That is why, a stable demand of microalga production is now necessary. To achieve a high-protein spirulina, its cultivation using closed… Read full abstract & cite →

Spirulina platensis ImageJ image processing closed algal cultivation parameter monitoring firebase

Abstract doi.org/10.14569/IJACSA.2021.0120732 PDF

33

Feature Engineering Framework to detect Phishing Websites using URL Analysis

Author 1: N. Swapna Goud Author 2: Anjali Mathur

Phishing is a most popular and dangerous cyber-attack in the world of internet. One of the most common attacks in cyber security is to access the personal information of internet users through “Phishing Website”. The major element through which hacker can do this job is through URL. Hacker creates an… Read full abstract & cite →

Recursive feature elimination principal component analysis standard scalar transformation eXtreme gradient boosting classifier correlation matrix

Abstract doi.org/10.14569/IJACSA.2021.0120733 PDF

34

The Impact of CALL Software on the Performance of EFL Students in the Saudi University Context

Author 1: Ayman Khafaga Author 2: Abed Saif Ahmed Alghawli

This paper investigates the extent to which Computer-Assisted Language Learning (CALL) contributes academically and pedagogically to the performance of students majoring English as a Foreign Language (EFL). The paper’s main objective is to explore the extent to which CALL is effective in developing the linguistic and communicative competence of EFL… Read full abstract & cite →

CALL EFL students Saudi university context language skills reading SnagitTM screencast performance effectiveness

Abstract doi.org/10.14569/IJACSA.2021.0120734 PDF

35

A Novel Method for Handling Partial Occlusion on Person Re-identification using Partial Siamese Network

Author 1: Muhammad Pajar Kharisma Putra Author 2: Wahyono

Person-reidentification (Re-ID) is one of the tasks in CCTV-based surveillance system for verifying whether two detected objects are the same person or not. Re-ID visually matching one person or group in various situations obtained from different cameras or on the same camera but at different times. This method replaces the… Read full abstract & cite →

CCTV CNN video-surveillance NN contrastive-loss

Abstract doi.org/10.14569/IJACSA.2021.0120735 PDF

36

Validation of Requirements for Transformation of an Urban District to a Smart City

Author 1: Rosziati Ibrahim Author 2: N.A.M. Asri Author 3: Sapiee Jamel Author 4: Jahari Abdul Wahab

The concept of a smart city is still debatable and yet gives attention to every country around the globe to provide their community with a better quality of life. New ideas for the development of a smart city have always evolved to enhance the quality, performance, and interactivity of services… Read full abstract & cite →

Smart city Internet of Things (IoTs) requirements analysis survey instrument

Abstract doi.org/10.14569/IJACSA.2021.0120736 PDF

37

Cyberattacks and Vociferous Implications on SECS/GEM Communications in Industry 4.0 Ecosystem

Author 1: Shams A. Laghari Author 2: Selvakumar Manickam Author 3: Shankar Karuppayah Author 4: Ayman Al-Ani Author 5: Shafiq Ul Rehman

Information and communications technology (ICT) is prevalent in almost every field of industrial production and manufacturing processes at present. A typical industry network consists of sensors, actuators, devices, and services to connect, track, and manage production processes to increase performance and boost productivity. The SEMI Equipment Communications Standard/Generic Equipment Model… Read full abstract & cite →

SECS/GEM cybersecurity industry-4.0 machine-to-machine communication industrial internet of things (IIoT)

Abstract doi.org/10.14569/IJACSA.2021.0120737 PDF

38

A Similarity Score Model for Aspect Category Detection

Author 1: Zohreh Madhoushi Author 2: Abdul Razak Hamdan Author 3: Suhaila Zainudin

Aspect-based Sentiment Analysis (ABSA) aims to extract significant aspects of an item or product from reviews and predict the sentiment of each aspect. Previous similarity methods tend to extract aspect categories at the word level by combining Language Models (LM) in their models. A drawback for the LM model is… Read full abstract & cite →

Aspect category detection language model semantic similarity

Abstract doi.org/10.14569/IJACSA.2021.0120738 PDF

39

SRAVIP: Smart Robot Assistant for Visually Impaired Persons

Author 1: Fahad Albogamy Author 2: Turk Alotaibi Author 3: Ghalib Alhawdan Author 4: Mohammed Faisal

Vision is one of the most important human senses, as visually impaired people encounter various difficulties due to their inability to move safely in different environments. This research aimed to facilitate integrating such persons into society by proposing a robotic solution (Robot Assistance) to assist them in navigating within indoor… Read full abstract & cite →

Mobile robot robotics robot assistance and visually impaired persons

Abstract doi.org/10.14569/IJACSA.2021.0120739 PDF

40

Modelling the Player and Avatar Attachment based on Student’s Engagement and Attention in Educational Games

Author 1: Nooralisa Mohd Tuah Author 2: Dinna @ Nina Mohd Nizam Author 3: Zaidatol Haslinda A. Sani

The Player and Avatar attachment help to motivate a student to strengthen their engagement in gameplay. The different types of avatar designs deployed in a game have an impact on students' engagements. The avatars are designed with different roles, wherein each role offers varying motivational effects on students' engagement. Several… Read full abstract & cite →

Avatar engagement attention digital educational games

Abstract doi.org/10.14569/IJACSA.2021.0120740 PDF

41

Assessment of Emotion in Online News based on Kansei Approach for National Security

Author 1: Noor Afiza Mat Razali Author 2: Nur Atiqah Malizan Author 3: Nor Asiakin Hasbullah Author 4: Norul Zahrah Mohd Zainuddin Author 5: Normaizeerah Mohd Noor Author 6: Khairul Khalil Ishak Author 7: Sazali Sukardi

Securing a nation is more complicated in modern days than how it was decades ago. In the era of big data, massive information is constantly being shared in cyberspace. Online rumours and fake news could evoke negative emotions and disruptive behaviours that possibly can jeopardize national security. Real-time detection and… Read full abstract & cite →

Online news kansei national security political security

Abstract doi.org/10.14569/IJACSA.2021.0120741 PDF

42

Arbitrary Verification of Ontology Increments using Natural Language

Author 1: Kaneeka Vidanage Author 2: Noor Maizura Mohamad Noor Author 3: Rosmayati Mohemad Author 4: Zuriana Abu Bakar

Parallel to the advancement of practical use cases in computers, the trend toward collaborative ontology engineering is accelerating. Both domain experts and ontologists must collaborate in collaborative ontology engineering processes. However, the bulk of domain experts are not computer experts (i.e. lawyers, medical doctors, bankers, etc.). Question and Answer on… Read full abstract & cite →

First order logic linked data ontologist iterative framework

Abstract doi.org/10.14569/IJACSA.2021.0120742 PDF

43

An Improvised Facial Emotion Recognition System using the Optimized Convolutional Neural Network Model with Dropout

Author 1: P V V S Srinivas Author 2: Pragnyaban Mishra

Facial expression detection has long been regarded as both verbal and nonverbal communication. The muscular expression on a person's face reflects their physical and mental state. Using computer programming to integrate all face curves into a categorization class is significantly more important than doing so manually. Convolutional Neural Networks, an… Read full abstract & cite →

Convolutional neural network (CNN) facial emotion recognition (FER) dropout FER 2013 CREMAD RVDSR CK48 JAFFE

Abstract doi.org/10.14569/IJACSA.2021.0120743 PDF

44

An Exploration on Online Learning Challenges in Malaysian Higher Education: The Post COVID-19 Pandemic Outbreak

Author 1: Ramlan Mustapha Author 2: Maziah Mahmud Author 3: Norhapizah Mohd Burhan Author 4: Hapini Awang Author 5: Ponmalar Buddatti Sannagy Author 6: Mohd Fairuz Jafar

Flexible online programmes and learning are gaining popularity as a means of educating students. It can also facilitate the delivery of knowledge to pupils, as well as facilitating the learning process. The purpose of this study was to investigate Online Learning Challenges following the Covid-19 pandemic outbreak in Malaysia. This… Read full abstract & cite →

Online learning COVID-19 outbreak fuzzy delphi method expert consensus

Abstract doi.org/10.14569/IJACSA.2021.0120744 PDF

45

An Advanced Stress Detection Approach based on Processing Data from Wearable Wrist Devices

Author 1: Mazin Alshamrani

Today's busy lifestyle often leads to frequent stress, the accumulation of which may lead to severe consequences for humans. Smartwatches are widely distributed and accessible, and as such deserve intelligent solutions that deal with the processing of such collected data and ensuring the improvement of the quality of life of… Read full abstract & cite →

Fully convolutional neural network stress detection smartwatch data pre-processing semi-supervised learning

Abstract doi.org/10.14569/IJACSA.2021.0120745 PDF

46

An Evaluation of the Accuracy of the Machine Translation Systems of Social Media Language

Author 1: Yasser Muhammad Naguib Sabtan Author 2: Mohamed Saad Mahmoud Hussein Author 3: Hamza Ethelb Author 4: Abdulfattah Omar

In this age of information technology, it has become possible for people all over the world to communicate in different languages through social media platforms with the help of machine translation (MT) systems. As far as the Arabic-English language pair is concerned, most studies have been conducted on evaluating the… Read full abstract & cite →

Colloquial Arabic Google translate machine translation evaluation reliability social media

Abstract doi.org/10.14569/IJACSA.2021.0120746 PDF

47

Impact of Data Compression on the Performance of Column-oriented Data Stores

Author 1: Tsvetelina Mladenova Author 2: Yordan Kalmukov Author 3: Milko Marinov Author 4: Irena Valova

Compression of data in traditional relational database management systems significantly improves the system performance by decreasing the size of the data that results in less data transfer time within the communication environment and higher efficiency in I/O operations. The column-oriented database management systems should perform even better since each attribute… Read full abstract & cite →

Column-oriented data stores data compression distributed non-relational databases benchmarking column-oriented databases

Abstract doi.org/10.14569/IJACSA.2021.0120747 PDF

48

IoT-based Cyber-security of Drones using the Naïve Bayes Algorithm

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

Recent advancements in drone technology are opening new opportunities and applications: in various fields of life especially in the form of small drones. However, these advancements are also causing new challenges in terms of security, adaptability, and consistency. Small drones are proving to be a new opportunity for the civil… Read full abstract & cite →

Drone technology security internet of things internet of drones machine learning blockchain

Abstract doi.org/10.14569/IJACSA.2021.0120748 PDF

49

Data Mining to Determine Behavioral Patterns in Respiratory Disease in Pediatric Patients

Author 1: Michael Cabanillas-Carbonell Author 2: Randy Verdecia-Peña Author 3: José Luis Herrera Salazar Author 4: Esteban Medina-Rafaile Author 5: Oswaldo Casazola-Cruz

There are several varieties of respiratory diseases which mainly affect children between 0 and 5 years of age, not having a complete report of the behavior of each of these. This research seeks to conduct a study of the behavior of patterns in respiratory diseases of children in Peru through… Read full abstract & cite →

Respiratory diseases data mining cluster algorithms K-Means algorithm

Abstract doi.org/10.14569/IJACSA.2021.0120749 PDF

50

Image Encryption Enabling Chaotic Ergodicity with Logistic and Sine Map

Author 1: Mohammad Ahmar Khan Author 2: Jalaluddin Khan Author 3: Abdulrahman Abdullah Alghamdi Author 4: Sarah Mohammed Awadh Bait Saidan

Chaotic systems with complicated characteristics of ergodicity, impredictability as well as sensitivity to beginning stages are commonly utilized in the world of cryptography. A 2D logistic-adjusted-sine (LS) map is implemented in this article. Performance assessments reveal superior ergodicity as well as unpredictable and even a broader spectrum of chaotics than… Read full abstract & cite →

Image encryption ergodicity logistic sine map security privacy

Abstract doi.org/10.14569/IJACSA.2021.0120750 PDF

51

An Optimized Neural Network Model for Facial Expression Recognition over Traditional Deep Neural Networks

Author 1: Pavan Nageswar Reddy Bodavarapu Author 2: P.V.V.S Srinivas

Emotions have a key role in Feedback analysis to provide a good customer service, the main seven emotions are Anger, Disgust, Fear, Happy, Neutral, Sad and Surprise. There are several advantages, an efficient Facial Emotion Recognition model can help us in self-discipline and control over the drivers, while they are… Read full abstract & cite →

Facial expression recognition deep learning filtering techniques convolutional neural network emotion

Abstract doi.org/10.14569/IJACSA.2021.0120751 PDF

52

Development of a Low-Cost Bio-Inspired Swimming Robot (SRob) with IoT

Author 1: Mohd Aliff Author 2: Ahmad Raziq Mirza Author 3: Mohd Ismail Author 4: Nor Samsiah

Now-a-days, exploring underwater is a difficult activity to do and requires specialized equipment to explore it. Many studies so far have proven that bio-inspired robotic fish such as stingray robots have many advantages for use as underwater exploration. One of them is the manta ray which can show excellent swimming… Read full abstract & cite →

Stingray robot angle of flapping motion remote control position control compact Srob

Abstract doi.org/10.14569/IJACSA.2021.0120752 PDF

53

Multicriteria Handover Management by the SDN Controller-based Fussy AHP and VIKOR Methods

Author 1: Najib Mouhassine Author 2: Mostapha Badri Author 3: Mohamed Moughit

A wireless environment is characterized by its dynamic nature, inherent uncertainty, and imprecise parameters and constraints. Network settings such as speed, RSS, network delays, etc. are inherently imprecise. Due to this vagueness, accurately measuring these network parameters in a wireless environment is a difficult task. As a result, a fuzzy… Read full abstract & cite →

SDN QoS WLAN Handover F-AHP VIKOR

Abstract doi.org/10.14569/IJACSA.2021.0120753 PDF

54

ROI Image Encryption using YOLO and Chaotic Systems

Author 1: Sung Won Kang Author 2: Un Sook Choi

In this paper, we design a cellular automata (CA)-based ROI (region of interest) image encryption system that can effectively reduce computational cost and maintain an appropriate level of security. The proposed image encryption system obtains a cryptographic image through three steps. First, a region of interest with high importance is… Read full abstract & cite →

Image encryption cellular automata YOLO algorithm deep learning Chen system region of interest

Abstract doi.org/10.14569/IJACSA.2021.0120754 PDF

55

Multi-point Fundraising and Distribution via Blockchain

Author 1: Abdullah Omar Abdul Kareem Alassaf Author 2: Fakhrul Hazman Yusoff

Trust and transparency are significant facets that are much esteemed by charitable organizations in achieving their mission and encouraging donations from the public. However, after many high-profile scandals, the faith in charities is questionable, heralding the need for an increased level of transparency among such organizations. Fortunately, leveraging Blockchain technology… Read full abstract & cite →

Blockchain smart contract transparency charity

Abstract doi.org/10.14569/IJACSA.2021.0120755 PDF

56

Power System Controlled Islanding using Modified Discrete Optimization Techniques

Author 1: N. Z. Saharuddin Author 2: I. Z. Abidin Author 3: H. Mokhlis Author 4: M.Y. Hassan

Controlled islanding is implemented to save the power system from experiencing blackouts during severe sequence line tripping. The power system is partitioned into several stand-alone islands by removing the optimal transmission line during controlled islanding execution. Since selecting the optimal transmission lines to be removed (cutsets) is important in this… Read full abstract & cite →

Controlled islanding modified discrete evolutionary programming (MDEP) technique modified discrete particle swarm optimization (MDPSO) technique minimal power flow disruption power imbalance

Abstract doi.org/10.14569/IJACSA.2021.0120756 PDF

57

Development of Technology to Support Large Information Storage and Organization of Reduced User Access to this Information

Author 1: Serikbayeva Sandugash Kurmanbekovna Author 2: Batyrkhanov Ardak Gabitovich Author 3: Sambetbayeva Madina Aralbaevna Author 4: Sadirmekova Zhana Bakirbaevna Author 5: Yerimbetova Aigerim Sembekovna

This article solves the problem of developing a technology for supporting large information storages and organizing delimited user access to this information, which provides a service both for managing these objects and organizing access to these objects. Solving the problem will allow you to create a conceptual model with the… Read full abstract & cite →

Information systems digital library metadata collection privilege rights administrator

Abstract doi.org/10.14569/IJACSA.2021.0120757 PDF

58

Open Text Ontology Mining to Improve Retrievals of Information

Author 1: Mohd Pouzi Hamzah Author 2: Syarifah Fatem Na’imah Syed Kamaruddin

Information retrieval is the main task to extract relevant information from documents. Mostly, the information retrieval system is based on the keyword approach to extract the knowledge of relevant documents. The experiment shows the ontology can improve the result to overcome the weakness of keyword approach. Ontology implementation method is… Read full abstract & cite →

Information retrieval ontology Malay text taxonomy relationship non-taxonomy relationship

Abstract doi.org/10.14569/IJACSA.2021.0120758 PDF

59

Adaptive Control Technique Effects on Single Link Bilateral Articulated Robot Arm

Author 1: Nuratiqa Natrah Mansor Author 2: Muhammad Herman Jamaluddin Author 3: Ahmad Zaki Shukor

This paper describes a technique for addressing the issue of instability within force controller by developing a model of a bilateral master-slave haptic system that incorporates a Disturbance Observer (DOB) in a robotic simulation. The suggested modeling is used in conjunction with conventional controllers to be correcting undesired noise that… Read full abstract & cite →

Force and position controller disturbance observer simulated bilateral system adaptive control manipulator arm

Abstract doi.org/10.14569/IJACSA.2021.0120759 PDF

60

A Novel Method for Rainfall Prediction and Classification using Neural Networks

Author 1: K. Varada Rajkumar Author 2: K. Subrahmanyam

In the field of food production, it is an important and difficult job to maintain water sources for major population centres and reduce the risk of flooding, to forecast rainfall reliably and accurately. Accurate and genuine forecasts of rainfall on monthly and seasonal time scales help to provide beneficiaries with… Read full abstract & cite →

Pattern recognition ant colony optimization artificial neural network rainfall prediction feed-forward cascade-forward data processing

Abstract doi.org/10.14569/IJACSA.2021.0120760 PDF

61

A Hybrid Model to Profile and Evaluate Soft Skills of Computing Graduates for Employment

Author 1: Hemalatha Ramalingam Author 2: Raja Sher Afgun Usmani Author 3: Ibrahim Abakar Targio Hashem Author 4: Thulasyammal Ramiah Pillai

Emerging tools such as Game Based Assessments have been valuable in talent screening and matching soft skills for job selection. However, these techniques/models are rather stand alone and are unable to provide an objective measure of the effectiveness of their approach leading to mismatch of skills. In this research study… Read full abstract & cite →

Soft skills artificial intelligence intelligent con-troller game based assessment graduate profile hybrid model

Abstract doi.org/10.14569/IJACSA.2021.0120761 PDF

62

System Dynamics Modeling for Solid Waste Management in Lima Peru

Author 1: Margarita Giraldo Retuerto Author 2: Dayana Ysla Espinoza Author 3: Laberiano Andrade-Arenas

This research work focuses on environmental care based on the treatment of solid, organic and inorganic waste. These inappropriate wastes cause deterioration of the environ-ment and the ozone layer. This is why we are currently seeing an abrupt change in climate and diseases caused by environmental pollution. The objective of… Read full abstract & cite →

Causal diagram environmental pollution forrester diagram systems dynamics vensim

Abstract doi.org/10.14569/IJACSA.2021.0120762 PDF

63

Analysis of Distance Learning in the Professional School of Systems Engineering and Informatics

Author 1: Eleazar Flores Medina Author 2: Yrma Principe Somoza Author 3: Laberiano Andrade-Arenas Author 4: Janet Corzo Zavaleta Author 5: Roberto Yon Alva Author 6: Samuel Vargas Vargas

The distance modality exponentially accelerated the use of technological tools in times of pandemic. In this context, educational institutions at all levels implemented actions to strengthen teaching work through training. The present study was carried out in the University of Sciences and Humanities considering the distance teaching process that is… Read full abstract & cite →

Distance modality evaluation focus group re-sources and pedagogical materials teaching strategy

Abstract doi.org/10.14569/IJACSA.2021.0120763 PDF

64

An ICU Admission Predictive Model for COVID-19 Patients in Saudi Arabia

Author 1: Hamza Ghandorh Author 2: Muhammad Zubair Khan Author 3: Raed Alsufyani Author 4: Mehshan Khan Author 5: Yousef M. Alsofayan Author 6: Anas A. Khan Author 7: Ahmed A. Alahmari

Globally, COVID-19 already emerged in around 170 million confirmed cases of infected people and, as of May 31, 2021, affected more than 3.54 million deaths. This pandemic has given rise to numerous public health and socioeconomic issues, emphasizing the significance of unraveling the epidemic’s history and forecasting the disease’s potential… Read full abstract & cite →

Covid-19 ANN ensemble learning method predic-tion ICU admission Saudi Arabia

Abstract doi.org/10.14569/IJACSA.2021.0120764 PDF

65

Applying Custom Algorithms in Windows Active Directory Certificate Services

Author 1: Alaev Ruhillo

The article presents a solution to the problem of not recognizing the O’zDst 1092:2009 algorithm by the operating system and the problem of using digital certificates generated using the O’zDst 1092:2009 algorithm and O’zDst 1106:2009 algorithm. These algorithms were adopted in 2009. But these algorithms are still not recognized by… Read full abstract & cite →

O’zDSt 1106:2009 hashing algorithm the O’zDSt 1092:2009 signature algorithm active directory certificate services digital certificate key access control key storage provider

Abstract doi.org/10.14569/IJACSA.2021.0120765 PDF

66

Robust Real-time Head Pose Estimation for 10 Watt SBC

Author 1: Emad Wassef Author 2: Hossam E. Abd El Munim Author 3: Sherif Hammad Author 4: Maged Ghoneima

Head Pose Estimation has always been an essential part for many applications such as autonomous driving and driv-ing assist systems and hence performance optimization provides better performance as well as lower computing and power needs that allows us to run such applications over embedded devices inside these systems. In this… Read full abstract & cite →

Head Pose Estimation real-time face detection face landmarks localization single board computing SBC GPU optimization

Abstract doi.org/10.14569/IJACSA.2021.0120766 PDF

67

SIP-MBA: A Secure IoT Platform with Brokerless and Micro-service Architecture

Author 1: Lam Nguyen Tran Thanh Author 2: Nguyen Ngoc Phien Author 3: The Anh Nguyen Author 4: Hong Khanh Vo Author 5: Hoang Huong Luong Author 6: Tuan Dao Anh Author 7: Khoi Nguyen Huynh Tuan Author 8: Ha Xuan Son

The Internet of Things is one of the most interesting technology trends today. Devices in the IoT network are often geared towards mobility and compact in size, thus having a rather weak hardware configuration. There are many light weight protocols, tailor-made suitable for limited processing power and low energy consumption… Read full abstract & cite →

Internet of Things (IoT) gRPC Single Sign-On brokerless micro-service MQTT message queue security

Abstract doi.org/10.14569/IJACSA.2021.0120767 PDF

68

IoHT-MBA: An Internet of Healthcare Things (IoHT) Platform based on Microservice and Brokerless Architecture

Author 1: Lam Nguyen Tran Thanh Author 2: Nguyen Ngoc Phien Author 3: The Anh Nguyen Author 4: Hong Khanh Vo Author 5: Hoang Huong Luong Author 6: Tuan Dao Anh Author 7: Khoi Nguyen Huynh Tuan Author 8: Ha Xuan Son

Internet of Thing (IoT), currently, is one of the technology trends that are most interested. IoT can be divided into five main areas including: Health-care, Environmental, Smart city, Commercial and Industrial. The IoHT-MBA Platform is considered the backbone of every IoT architecture, so the optimal design of the IoHT-MBA Platform… Read full abstract & cite →

Internet of Health Things (IoHT) microservice brokerless gRPC kafka single sign-on RBAC

Abstract doi.org/10.14569/IJACSA.2021.0120768 PDF

69

A Survey on the Effectiveness of Virtual Reality-based Therapy and Pain Management

Author 1: Fatma E. Ibrahim Author 2: Neven A. M. Elsayed Author 3: Hala H. Zayed

Virtual reality refers to the technology used to create multi-sensory three-dimensional environments that can be navigated, manipulated, and interacted by a user. This paper’s objective is to categorize the most common areas that use virtual reality (VR) for managing pain (psychological and physical). To our knowledge, this is the first… Read full abstract & cite →

Virtual reality mental health cancer pain distrac-tion pain management

Abstract doi.org/10.14569/IJACSA.2021.0120769 PDF

70

Improved Medical Image Classification Accuracy on Heterogeneous and Imbalanced Data using Multiple Streams Network

Author 1: Mumtaz Ali Author 2: Riaz Ali Author 3: Nazim Hussain

Small and massively imbalanced datasets are long-standing problems on medical image classification. Traditionally, researchers use pre-trained models to solve these problems, however, pre-trained models typically have a huge number of trainable parameters. Small datasets are challenging for them to train a model adequately and imbalanced datasets easily lead to overfitting… Read full abstract & cite →

Medical image classification convolutional neural networks class imbalance small dataset margin loss

Abstract doi.org/10.14569/IJACSA.2021.0120770 PDF

71

A Randomized Hyperparameter Tuning of Adaptive Moment Estimation Optimizer of Binary Tree-Structured LSTM

Author 1: Ruo Ando Author 2: Yoshiyasu Takefuji

Adam (Adaptive Moment Estimation) is one of the promising techniques for parameter optimization of deep learning. Because Adam is an adaptive learning rate method and easier to use than Gradient Descent. In this paper, we propose a novel randomized search method for Adam with randomizing parameters of beta1 and beta2… Read full abstract & cite →

Adaptive moment estimation gradient descent tree-structured LSTM hyperparameter tuning

Abstract doi.org/10.14569/IJACSA.2021.0120771 PDF

72

Encryption on Multimodal Biometric using Hyper Chaotic Method and Inherent Binding Technique

Author 1: Nalini M K Author 2: Radhika K R

Chaotic maps are non-convergent and highly sensitive to initial values. The applications include secure digital identity in distributed systems. Face and fingerprint biometric templates are subjected to hyper-chaotic map leading to encrypted image. Encrypted image is fed as an input to deoxyribonucleic acid (DNA) sequence. Dimensionality of generated DNA sequence… Read full abstract & cite →

Chaotic systems DNA sequences cryptographic techniques Convolutional Neural Networks (CNN) key binding

Abstract doi.org/10.14569/IJACSA.2021.0120772 PDF

73

Evaluation of Routing Protocols and Mobility in Flying Ad-hoc Network

Author 1: Emad Felemban

The ability of dynamic reconfigurability, quick response and ease of deployment has made Unmanned Aerial Vehicles (UAVs), a paramount solution in several areas such as military applications. Flying ad-hoc network (FANET) is a net-work of UAVs connected wirelessly and configured continuously without infrastructures. Routing on its own is not significant… Read full abstract & cite →

Flying ad-hoc network (FANET) mobility models adhoc routing protocols OPNET Unmanned Aerial Vehicles (UAVs)

Abstract doi.org/10.14569/IJACSA.2021.0120773 PDF

74

Combining Word Embeddings and Deep Neural Networks for Job Offers and Resumes Classification in IT Recruitment Domain

Author 1: Amine Habous Author 2: El Habib Nfaoui

Now-a-days, the use of web portals known as job boards for publishing job offers by recruiters has grown consid-erably. The candidates in their turn, apply to the job positions via the job boards. Since the opportunities are available on a wide range and the job application process is fast and… Read full abstract & cite →

IT recruitment word embeddings deep neural net-works text classification natural language processing

Abstract doi.org/10.14569/IJACSA.2021.0120774 PDF

75

Mean Value Estimation of Shape Operator on Triangular Meshes

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

The principal curvatures, eigenvalues of the shape operator, are an important differential geometric features that characterize the object’s shape, as a matter of fact, it plays a central role in geometry processing and physical simulation. The shape operator is a local operator resulting from the matrix quotient of normal derivative… Read full abstract & cite →

Curvature estimation shape operator triangular meshes discrete differential operator

Abstract doi.org/10.14569/IJACSA.2021.0120775 PDF

76

Content-based Image Retrieval using Tesseract OCR Engine and Levenshtein Algorithm

Author 1: Charles Adjetey Author 2: Kofi Sarpong Adu-Manu

Image Retrieval Systems (IRSs) are applications that allow one to retrieve images saved at any location on a network. Most IRSs make use of reverse lookup to find images stored on the network based on image properties such as size, filename, title, color, texture, shape, and description. This paper provides… Read full abstract & cite →

Image Retrieval Systems image processing Optical Character Recognition (OCR) text matching algorithm Tesseract OCR engine Levenshtein Algorithm

Abstract doi.org/10.14569/IJACSA.2021.0120776 PDF

77

New Data Placement Strategy in the HADOOP Framework

Author 1: Akram Elomari Author 2: Larbi Hassouni Author 3: Abderrahim MAIZATE

Today, the data quantities generated and exchanged between information systems continues to increase. Storing and exploiting such quantities require can’t be done without bigdata systems with mechanisms capable of meeting technological challenges commonly grouped under the four Vs (Volume, Velocity, Variety and Veracity). These technologies include mainly the Distributed File… Read full abstract & cite →

Big data data storage Hadoop DFS HDFS data striping chunks placement strategy performance optimization

Abstract doi.org/10.14569/IJACSA.2021.0120777 PDF

78

A Proposed Framework for Big Data Analytics in Higher Education

Author 1: Beenu Mago Author 2: Nasreen Khan

Students, faculties, and other members of the higher education (HEd) system are increasingly reliant on various information technologies. Such a reliance results in a plethora of data that can be explored to obtain relevant statistics or insights. Another reason to explore the data is to acquire valuable insight regarding the… Read full abstract & cite →

Big data analysis higher education learning analytics academic analytics

Abstract doi.org/10.14569/IJACSA.2021.0120778 PDF

79

Fine-tuned Predictive Model for Verifying POI Data

Author 1: Monika Sharma Author 2: Mahesh Bundele Author 3: Vinod Bothale Author 4: Meenakshi Nawal

Mapping websites and geo portals are playing a vital role in daily life due to the availability of geo-tagged data. From booking a cab to search a place, getting traffic information, review of the place, searching for a doctor or best school available in the locality, we are heavily dependent… Read full abstract & cite →

Crowdsourced fine-tuning geotagged data hyperparameters predictive model

Abstract doi.org/10.14569/IJACSA.2021.0120779 PDF

80

A New Secure Algorithm for Upcoming Sensitive Connection between Heterogeneous Mobile Networks

Author 1: Omar Khattab

One of the most important concepts in the heterogeneous mobile networks is Vertical Handover (VHO). The VHO is a vital process taken place by Mobile Users (MUs) in order to satisfy their preferences of security and cost, in addition to the rest of parameters of network and terminal such as… Read full abstract & cite →

Vertical handover security mobile networks wireless networks heterogeneous wireless

Abstract doi.org/10.14569/IJACSA.2021.0120780 PDF

81

A Planar 2×2 MIMO Antenna Array for 5G Smartphones

Author 1: A. K. M. Zakir Hossain Author 2: Nurulhalim Bin Hassim Author 3: W. H. W. Hassan Author 4: Win Adiyansyah Indra Author 5: Safarudin Gazali Herawan Author 6: Mohamad Zoinol Abidin Bin Abd. Aziz

Here, a planar 2×2 MIMO configuration for the 5G smartphone has been presented. A single element modified planar tree profile shape (MPTPS) antenna is implemented to investigate the suitability in future 5G communication for different sub-6 GHz spectrum band. The size of the single MPTPS antenna is 40 × 25… Read full abstract & cite →

MIMO smartphone antenna isolation envelope correlation coefficient diversity gain specific absorption rate (SAR)

Abstract doi.org/10.14569/IJACSA.2021.0120781 PDF

82

Machine Learning Approach of Hybrid KSVN Algorithm to Detect DDoS Attack in VANET

Author 1: Nivedita Kadam Author 2: Krovi Raja Sekhar

Most of the self-driving vehicles are suspect of the of the different types attacks due to its communication pattern and changing network topology characteristics, these types of vehicles are dependent on external communication sources of VANET, which is a vehicular network, It has attracted great interest of industry and academia… Read full abstract & cite →

K-Nearest neighbor (KNN) support vector machine (SVM) DDoS (distributed denial of service attack)

Abstract doi.org/10.14569/IJACSA.2021.0120782 PDF

83

An Intelligent Approach for Data Analysis and Decision Making in Big Data: A Case Study on E-commerce Industry

Author 1: EL FALAH Zineb Author 2: RAFALIA Najat Author 3: ABOUCHABAKA Jaafar

A recent informational phenomenon has emerged as one of the considerable innovations in information systems, commonly referred to as "Big Data". The latter is currently trendy, both in academia and industry, and is used to describe a wide range of concepts, from data extraction, storage, and management, to data processing… Read full abstract & cite →

Big data data analytics decision making big data analytics big data analysis machine learning marketing e-commerce

Abstract doi.org/10.14569/IJACSA.2021.0120783 PDF

84

Improved Incentive Pricing Wireless Multi-service Single Link with Bandwidth Attribute

Author 1: Nael Hussein Author 2: Kamaruzzaman Seman Author 3: Fitri Maya Puspita Author 4: Khairi Abdulrahim Author 5: Mus’ab Sahrim

Several objectives that service providers have to achieve are to determine the increase or decrease in the price change due to the change in service quality and the amount of service quality value. Multi-service wireless Internet pricing schemes that apply the quality of the bandwidth advantage are designed to take… Read full abstract & cite →

Optimal solution multi service network wireless pricing scheme bandwidth QoS attribute

Abstract doi.org/10.14569/IJACSA.2021.0120784 PDF

85

Drip Irrigation Detection for Power Outage-Prone Areas with Internet-of-Things Smart Fertigation Managemant System

Author 1: Dahlila Putri Dahnill Author 2: Zaihosnita Hood Author 3: Afzan Adam Author 4: Mohd Zulhakimi Ab Razak Author 5: Ahmad Ghadafi Ismail

In drip irrigation agriculture or fertigation technique, sufficient amount of water and nutrients are crucial for a plant's growth and development. An electronic timer is usually used to control the plant watering automatically and the scheduling is set according to different levels of plant growth. The timer has to be… Read full abstract & cite →

Irrigation technique water and nutrient automatic drip irrigation crop power-outage

Abstract doi.org/10.14569/IJACSA.2021.0120785 PDF

86

View-independent Vehicle Category Classification System

Author 1: Sara Baghdadi Author 2: Noureddine Aboutabit

Vehicle category classification is important, but it is a challenging task, especially, when the vehicles are captured from a surveillance camera with different view angles. This paper aims to develop a view-independent vehicle category classification system. It proposes a two-phase system: one phase recognizes the view angles helping the second… Read full abstract & cite →

Vehicle category classification view recognition machine learning deep learning convolutional neural network

Abstract doi.org/10.14569/IJACSA.2021.0120786 PDF

87

Machine Learning Predictors for Sustainable Urban Planning

Author 1: Sarojini Devi Nagappan Author 2: Salwani Mohd Daud

While essential for economic reasons, rapid urbanization has had many negative impacts on the environment and the social wellbeing of humanity. Heavy traffic, unexpected geohazards are some of the effects of uncontrollable development. This situation points its fingerto urban planning and design; there are numerous automation tools to help urban… Read full abstract & cite →

Urban planning sustainable development urban development classification model machine learning urban development predictors

Abstract doi.org/10.14569/IJACSA.2021.0120787 PDF

88

Designing Strategies for Autonomous Stock Trading Agents using a Random Forest Approach

Author 1: Monira Aloud

Machine learning-based autonomous agents are valuable for back-testing stock trading strategies, including algorithmic trading. Several studies in the financial literature have proposed artificial intelligence-based algorithms that support decision making for financial investment, but few studies have provided systematic processes for designing intelligent trading agents. This paper overviews the steps involved… Read full abstract & cite →

Decision trees financial forecasting machine learning random forest trading agents trading strategy

Abstract doi.org/10.14569/IJACSA.2021.0120788 PDF

89

Risk Assessment of Attack in Autonomous Vehicle based on a Decision Tree

Author 1: Sara FTAIMI Author 2: Tomader MAZRI

Risk management has become increasingly essential in all areas, and it represents a cornerstone of the Safety Management System. In principle, it brings together all the procedures to identify and evaluate risks to improve systems performance. With the development of the transportation system and the appearance of intelligent ones (ITS)… Read full abstract & cite →

Vehicular adhoc network intelligent transportation system decision tree risk assessment impact autonomous vehicle attacks

Abstract doi.org/10.14569/IJACSA.2021.0120789 PDF

90

An Automated Framework for Enterprise Financial Data Pre-processing and Secure Storage

Author 1: Sirisha Alamanda Author 2: Suresh Pabboju Author 3: G. Narasimha

The analysis on the financial data is highly crucial and critical as the results or the conclusion communicated based on the analysis can generate a greater impact on the personal and enterprise scale business processes. The primary source of the financial data is the business process and often the data… Read full abstract & cite →

Financial data pre-processing outlier treatment missing value treatment regression differential iterations iterative clustering

Abstract doi.org/10.14569/IJACSA.2021.0120790 PDF

91

System Design and Case Study Reporting on AQASYS: A Web-based Academic Quality Assurance System

Author 1: Adel Alfozan Author 2: Mohammad Ali Kadampur

The demands of modern education have evolved from a teacher-centric requirement to a learner-centric requirement. Knowledge, skill, and competence are the most sought-after attributes of a graduate. Features such as the objective focus of learning, curriculum planning, a set of high expectations, and extended opportunities to the learner after completion… Read full abstract & cite →

Outcome-based education quality standards automated software system design education technology accreditation

Abstract doi.org/10.14569/IJACSA.2021.0120791 PDF

92

A Systematic Literature Review of the Types of Authentication Safety Practices among Internet Users

Author 1: Krishnapriyaa Kovalan Author 2: Siti Zobidah Omar Author 3: Lian Tang Author 4: Jusang Bolong Author 5: Rusli Abdullah Author 6: Akmar Hayati Ahmad Ghazali Author 7: Muhammad Adnan Pitchan

The authentication system is one of the most important methods for maintaining information security in smart devices. There are many authentication methods, such as password authentication, biometric authentication, signature authentication, and so on, to protect cloud users’ data. However, online information is not yet effectively authenticated. The purpose of this… Read full abstract & cite →

Password authentication biometric authentication multi-factor authentication information security safety practices

Abstract doi.org/10.14569/IJACSA.2021.0120792 PDF

93

Development of Learning Analytics Dashboard based on Moodle Learning Management System

Author 1: Ong Kiat Xin Author 2: Dalbir Singh

Digitalization catalyzes drastic changes to a particular subject or area. Digitalization is an operational structure transformation process, such as in the educational domain. Digitalization in the academic field has brought the classroom to the users' fingertips with the prevalence of e-learning applications, learning management systems, etc. However, with the increasing… Read full abstract & cite →

Learning analytics learning management system moodle

Abstract doi.org/10.14569/IJACSA.2021.0120793 PDF

94

Real-time Driver Drowsiness Detection using Deep Learning

Author 1: Md. Tanvir Ahammed Dipu Author 2: Syeda Sumbul Hossain Author 3: Yeasir Arafat Author 4: Fatama Binta Rafiq

Every year thousands of lives pass away worldwide due to vehicle accidents, and the main reason behind this is the drowsiness in drivers. A drowsiness detection system will help to reduce this accident and save many lives around the world. To defend this problem, we propose a methodology based on… Read full abstract & cite →

Deep learning drowsiness detection object detection MobileNets Single Shot Multibox Detector

Abstract doi.org/10.14569/IJACSA.2021.0120794 PDF

95

Wireless Intrusion and Attack Detection for 5G Networks using Deep Learning Techniques

Author 1: Bayana Alenazi Author 2: Hala Eldaw Idris

A Wireless Intrusion Detection System is an important part of any system or company connected to the internet and has a wireless connection inside it because of the increasing number of internal or external attacks on the network. These WIDS systems are used to predict and detect wireless network attacks… Read full abstract & cite →

Wireless intrusion detection system 5G autoencoder deep learning attack detection

Abstract doi.org/10.14569/IJACSA.2021.0120795 PDF