IJACSA Vol. 13 Issue 2 (2022)

1

Random-Valued Impulse Noise Detection and Removal based on Local Statistics of Images

Author 1: Mickael Aghajarian Author 2: John E. McInroy

Random-valued impulse noise removal from images is a challenging task in the field of image processing and computer vision. In this paper, an effective three-step noise removal method was proposed using local statistics of grayscale images. Unlike most existing denoising algorithms that assume the noise density is known, our method… Read full abstract & cite →

Random-valued impulse noise noise detection image restoration modified weighted mean filter

Abstract doi.org/10.14569/IJACSA.2022.0130201 PDF

2

Robotic Ad-hoc Networks Connectivity Maintenance based on RF Signal Strength Mapping

Author 1: Mustafa Ayad Author 2: Richard Voyles Author 3: Mohamed Ayad

Network connectivity preservation is one of the substantial factors in achieving efficient mobile robot teams' maneuverability. We present a connectivity maintenance method for a robot team's communication. The proposed approach augments the Radio Frequency Mapping Recognition (RFMR) method and the signal strength gradient decent approach for an overall goal to… Read full abstract & cite →

RF mapping recognition link connectivity gradient algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130202 PDF

3

A Review of Mobility Supporting Tunneling Protocols in Wireless Cellular Networks

Author 1: Zeeshan Abbas Author 2: Wonyong Yoon

With recent technology advancements mobility support is one of the major needed parameters by any wireless or mobile networks. Continuous mobile movement from one cell to another or from one network to another requires continuous mobility support. Previously, tunneling protocols employment was the technique to support UE’s inter or intra… Read full abstract & cite →

Tunneling mobility 3GPP WLAN interworking

Abstract doi.org/10.14569/IJACSA.2022.0130203 PDF

4

Extended Kalman Filter Sensor Fusion in Practice for Mobile Robot Localization

Author 1: Alaa Aldeen Housein Author 2: Gao Xingyu Author 3: Weiming Li Author 4: Yang Huang

Self-driving vehicles and autonomously guided robots could be very beneficial to today's civilization. However, the mobile robot's position must be accurately known, which referred as the localization with the task of tracking the dynamic position, in order for the robot to be active and useful. This paper presents a robot… Read full abstract & cite →

Autonomous navigation Kalman filter self-driving vehicle simultaneous localization and mapping occupancy grid map ROS

Abstract doi.org/10.14569/IJACSA.2022.0130204 PDF

5

The Adoption of Digital Games Among Older Adults

Author 1: Nurul Farinah Mohsin Author 2: Suriati Khartini Jali Author 3: Sylvester Arnab Author 4: Mohamad Imran Bandan Author 5: Minhua Ma

The revolution of technology brings many benefits towards diverse population. Digital game is one of the digital technologies that has potential to facilitate older adults’ daily routine. However, some of them faces challenges to adopt the usage of digital games in their daily lives, one of which is that most… Read full abstract & cite →

Digital games Malaysia older adults technology

Abstract doi.org/10.14569/IJACSA.2022.0130205 PDF

6

Evaluation of Consumer Network Structure for Cosmetic Brands on Twitter

Author 1: Yuzuki Kitajima Author 2: Kohei Otake Author 3: Takashi Namatame

Since the early 2000s, the Internet has become increasingly popular for the development of information dissemination technology and as a platform for interaction. Therefore, the penetration rate of Social Networking Services (SNSs) is also increasing. Using the accounts created on SNSs, companies can disseminate information and communicate with users on… Read full abstract & cite →

Social networking services community structure network analysis consumer network influencer marketing

Abstract doi.org/10.14569/IJACSA.2022.0130206 PDF

7

Combining Multiple Seismic Attributes using Convolutional Neural Networks

Author 1: Abrar Alotaibi Author 2: Mai Fadel Author 3: Amani Jamal Author 4: Ghadah Aldabbagh

Seismic exploration involves estimating the properties of the Earth's subsurface from reflected seismic waves then visualizing the resulting seismic data and its attributes. These data and derived seismic attributes provide complementary information and reduce the amount of time and effort for the geoscientist. Multiple conventional methods to combine various seismic… Read full abstract & cite →

CNNs neural networks seismic attributes seismic images image fusion

Abstract doi.org/10.14569/IJACSA.2022.0130207 PDF

8

RETRACTED: Computational Intelligence Algorithm Implemented in Indoor Environments based on Machine Learning for Lighting Control System

Author 1: Mohammad Ehsanul Alim Author 2: Md. Nazmus Sakib Bin Alam Author 3: Ihab Hassoun

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this… Read full abstract & cite →

Machine learning algorithms indoor lighting control system internet of things (IoT) ultra-wide band sensors lux sensors remote access facility

Abstract doi.org/10.14569/IJACSA.2022.0130208 PDF

9

Comparison of Latent Semantic Analysis and Vector Space Model for Automatic Identification of Competent Reviewers to Evaluate Papers

Author 1: Yordan Kalmukov

The assignment of reviewers to papers is one of the most important and challenging tasks in organizing scientific events. A major part of it is the correct identification of proper reviewers. This article presents a series of experiments aiming to test whether the latent semantic analysis (LSA) could be reliably… Read full abstract & cite →

Latent semantic analysis vector space model automatic assignment of reviewers to papers

Abstract doi.org/10.14569/IJACSA.2022.0130209 PDF

10

Evaluation of Applicability of 1D-CNN and LSTM to Predict Horizontal Displacement of Retaining Wall According to Excavation Work

Author 1: Seunghwan Seo Author 2: Moonkyung Chung

During excavation works in downtown, stability and safety considerations of such excavations and constructions are crucial for which continuous wall structures with varying structural components are commonly used. Most of the current models used for this purpose are often complex, where the accepted parameters do not have a clear physical… Read full abstract & cite →

Excavation wall displacement neural network prediction wall deflection CNN-LSTM

Abstract doi.org/10.14569/IJACSA.2022.0130210 PDF

11

A Review on Classification Methods for Plants Leaves Recognition

Author 1: Khaled Suwais Author 2: Khattab Alheeti Author 3: Duaa Al_Dosary

Plants leaves recognition is an important scientific field that is concerned of recognizing leaves using image processing techniques. Several methods are presented using different algorithms to achieve the highest possible accuracy. This paper provides an analytical survey of various methods used in image processing for the recognition of plants through… Read full abstract & cite →

Leaf recognition feature extraction leaf features classifiers image processing

Abstract doi.org/10.14569/IJACSA.2022.0130211 PDF

12

Tracking Axonal Transports in Time-Lapse Images Obtained from a Microfluidic Culture Platform

Author 1: Nak Hyun Kim

In this paper, a procedure is described for tracking moving object trajectories from image sequences acquired from a microfluidic culture platform. Since particles move along the axons, curve structures need to be detected first from the input image sequence. A kymograph analysis technique is applied to detect axon structures from… Read full abstract & cite →

Axonal transports kymograph trajectory detection image sequence analysis motion parameter extraction

Abstract doi.org/10.14569/IJACSA.2022.0130212 PDF

13

LPRNet: A Novel Approach for Novelty Detection in Networking Packets

Author 1: Anshumaan Chauhan Author 2: Ayushi Agarwal Author 3: Angel Arul Jothi Author 4: Sangili Vadivel

Novelty Detection is a task of recognition of abnormal data points within a given system. Recently, this task has been performed using Deep Learning Autoencoders, but they face several drawbacks which include the problem of identity mapping, adversarial perturbations and optimization algorithms. In this paper, we have proposed a novel… Read full abstract & cite →

Novelty detection deep learning autoencoders unsupervised learning

Abstract doi.org/10.14569/IJACSA.2022.0130213 PDF

14

A Proposed Model for Improving the Performance of Knowledge Bases in Real-World Applications by Extracting Semantic Information

Author 1: Abdelrahman Elsharif Karrar

Knowledge Bases are information resources that convert factual knowledge to machine-readable formats to allow users to extract their desired data from multiple sources. The objective of knowledge base population frameworks is to extend KBs with semantic information to solve fundamental artificial intelligence problems such as understanding human knowledge. Information extraction… Read full abstract & cite →

Semantic information extraction knowledge base slot filling content recommendation

Abstract doi.org/10.14569/IJACSA.2022.0130214 PDF

15

Melody Difficulty Classification using Frequent Pattern and Inter-Notes Distance Analysis

Author 1: Pulung Nurtantio Andono Author 2: Edi Noersasongko Author 3: Guruh Fajar Shidik Author 4: Khafiizh Hastuti Author 5: Sudaryanto Sudaryanto Author 6: Arry Maulana Syarif

This research proposes a novel method for melody difficulty classification performed using frequent pattern and inter-notes distance analysis. The Apriori algorithm was used to measure the frequency of the notes in the note sequence, in which the melody length is also included in the calculation. In addition, the inter-notes distance… Read full abstract & cite →

Multi-class classification frequent analysis Apriori Symbolic music Gamelan

Abstract doi.org/10.14569/IJACSA.2022.0130215 PDF

16

Machine Learning: Assisted Cardiovascular Diseases Diagnosis

Author 1: Aseel Alfaidi Author 2: Reem Aljuhani Author 3: Bushra Alshehri Author 4: Hajer Alwadei Author 5: Sahar Sabbeh

Detecting cardiovascular problems during their early stages is one of the great difficulties facing physicians. Cardiovascular diseases contribute to the deaths of around 18 million patients every year worldwide. That's why heart disease is a critical worry that must be addressed. However, it can be difficult to detect heart disease… Read full abstract & cite →

Cardiovascular diseases artificial intelligence prediction multi-layer perceptron

Abstract doi.org/10.14569/IJACSA.2022.0130216 PDF

17

A Solution for Automatic Counting and Differentiate Motorcycles and Modified Motorcycles in Remote Area

Author 1: Indrabayu Author 2: Intan Sari Areni Author 3: Anugrayani Bustamin Author 4: Elly Warni Author 5: Sofyan Tandungan Author 6: Rizka Irianty Author 7: Najiah Nurul Afifah

Motorcycles are the most significant contributor to the vehicle numbers in Indonesia, about 81% of all vehicles in the country. In addition, the growth of modified motorcycles has also increased in several areas, particularly remote places. Many studies have been conducted for detecting vehicles. However, most vehicle detection studies were… Read full abstract & cite →

Histogram of oriented gradient optical flow vehicles counting support vector machine

Abstract doi.org/10.14569/IJACSA.2022.0130217 PDF

18

PAD: A Pancreatic Cancer Detection based on Extracted Medical Data through Ensemble Methods in Machine Learning

Author 1: Santosh Reddy P Author 2: Chandrasekar M

The considerable research into medical health systems is allowing computing systems to develop with the most cutting-edge innovations. These developments are paving the way for more efficient medical system implementations, including automatic identification of health-related disorders. The most important health research is being done to predict cancer, which can take… Read full abstract & cite →

Pancreatic PDAC LYVE1 REG1A TFF1 CA19_9

Abstract doi.org/10.14569/IJACSA.2022.0130218 PDF

19

Developing and Validating Instrument for Data Integration Governance Framework

Author 1: Noor Hasliza Mohd Hassan Author 2: Kamsuriah Ahmad Author 3: Hasimi Salehuddin

Data integration is one of the important subfields in data management. It allows users to access the same data from multiple sources without redundancy and preserving its integrity. Data Integration Governance Framework (DIGF) is being developed to guide the implementation of data integration. It functions as a reference and guideline… Read full abstract & cite →

Content validity instrument development data integration governance Lawshe’s technique

Abstract doi.org/10.14569/IJACSA.2022.0130219 PDF

20

The Method of Braille Embossed Dots Segmentation for Braille Document Images Produced on Reusable Paper

Author 1: Sasin Tiendee Author 2: Charay Lerdsudwichai Author 3: Somying Thainimit Author 4: Chanjira Sinthanayothin

Braille is the language of communication for blind and visually impaired people. Braille characters are embossed at points to convey the meaning. Typically, Braille documents can be produced on plain paper. Braille documents can be created on reusable paper, also known as a third-page paper; this reduces the paper cost… Read full abstract & cite →

Braille embossed dots document images reusable paper segmentation recognition blind visually impaired

Abstract doi.org/10.14569/IJACSA.2022.0130220 PDF

21

Implementation of Password Hashing on Embedded Systems with Cryptographic Acceleration Unit

Author 1: Holman Montiel A Author 2: Fredy Martínez S Author 3: Edwar Jacinto G

In this modern world where the proliferation of electronic devices associated with the Internet of Things (IoT) grows day by day, security is an imperative issue. The criticality of the information linked to the various electronic devices connected to the Internet forces developers to establish protection mechanisms against possible cyber-attacks… Read full abstract & cite →

Cryptography password hashing embedded systems cryptographic acceleration hardware SHA-256

Abstract doi.org/10.14569/IJACSA.2022.0130221 PDF

22

Prediction of Metastatic Relapse in Breast Cancer using Machine Learning Classifiers

Author 1: Ertel Merouane Author 2: Amali Said Author 3: El Faddouli Nour-eddine

The volume and amount of data in cancerology is continuously increasing, yet the vast majority of this data is not being used to uncover useful and hidden insights. As a result, one of the key goals of physicians for therapeutic decision-making during multidisciplinary consultation meetings is to combine prediction tools… Read full abstract & cite →

Machine learning classification personalized medicine CRISP-DM metastasis breast cancer

Abstract doi.org/10.14569/IJACSA.2022.0130222 PDF

23

Effective ANN Model based on Neuro-Evolution Mechanism for Realistic Software Estimates in the Early Phase of Software Development

Author 1: Ravi Kumar B N Author 2: Yeresime Suresh

There is no doubt that the software industry is one of the fastest-growing sectors on the planet today. As the cost of the entire development process continues to rise, an effective mechanism is needed to estimate the required development cost to control better the cost overrun problem and make the… Read full abstract & cite →

Software cost estimation COCOMO-II neuro-evolution artificial neural network genetic algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130223 PDF

24

Incorporation of Computational Thinking Practices to Enhance Learning in a Programming Course

Author 1: Leticia Laura-Ochoa Author 2: Norka Bedregal-Alpaca

The development of computational thinking skills is essential for information management, problem-solving, and understanding human behavior. Thus, the aim of the experience described here was to incorporate computational thinking practices to improve learning in a first Python programming course using programming tools such as PSeInt, CodingBat, and the turtle graphic… Read full abstract & cite →

Programming tools computational thinking algorithmic thinking motivation abstraction

Abstract doi.org/10.14569/IJACSA.2022.0130224 PDF

25

Detecting and Fact-checking Misinformation using “Veracity Scanning Model”

Author 1: Yashoda Barve Author 2: Jatinderkumar R. Saini Author 3: Ketan Kotecha Author 4: Hema Gaikwad

The expeditious flow of information over the web and its ease of convenience has increased the fear of the rampant spread of misinformation. This poses a health threat and an unprecedented issue to the world impacting people’s life. To cater to this problem, there is a need to detect misinformation… Read full abstract & cite →

Document similarity fact-checking healthcare incremental learning misinformation sentiment analysis

Abstract doi.org/10.14569/IJACSA.2022.0130225 PDF

26

Enhancing EFL Students’ COCA-Induced Collocational Usage of Coronavirus: A Corpus-Driven Approach

Author 1: Amir H. Y. Salama Author 2: Waheed M. A. Altohami

The present study seeks to propose a novel pedagogical strategy for enhancing EFL students’ collocational usage of the node ‘coronavirus’ as currently used in the Corpus of Contemporary American English (COCA) across its five genre-based sections, viz. TV/Movies, Blog, Web-General, Spoken, Fiction, Magazine, Newspaper, and Academic. Drawing on a corpus-driven… Read full abstract & cite →

COCA collocations coronavirus corpus-driven approach EFL learners extended lexical units

Abstract doi.org/10.14569/IJACSA.2022.0130226 PDF

27

A Computational Approach to Decode the Pragma-Stylistic Meanings in Narrative Discourse

Author 1: Ayman Farid Khafaga Author 2: Iman El-Nabawi Abdel Wahed Shaalan

This paper presents a computer-based frequency distribution analysis to decode the pragma-stylistic meanings in one of the narrative discourse represented by Orwell’s dystopian novel Animal Farm. The main objective of the paper is to explore the extent to which computer software contribute to the linguistic analysis of texts. The paper… Read full abstract & cite →

Frequency distribution analysis narrative discourse pragma-stylistic meanings thematic categorization

Abstract doi.org/10.14569/IJACSA.2022.0130227 PDF

28

An Evaluation of the Automatic Detection of Hate Speech in Social Media Networks

Author 1: Abdulfattah Omar Author 2: Mohamed Elarabawy Hashem

Numerous approaches have been developed over recent years to detect hate speech on social media networks. Nevertheless, a great deal of what is generally recognized as hate speech cannot yet be detected. There remain many challenges to assuring the effectiveness and reliability of automatic detection systems in different languages, including… Read full abstract & cite →

Artificial intelligence automatic detection Facebook hate speech Islamic discourse social media networks

Abstract doi.org/10.14569/IJACSA.2022.0130228 PDF

29

A Region-based Compression Technique for Medical Image Compression using Principal Component Analysis (PCA)

Author 1: Sin Ting Lim Author 2: Nurulfajar Bin Abd Manap

Region-based compression technique is particularly useful for radiological archiving system as it allows diagnostically important regions to be compressed with near lossless quality while the non-diagnostically important regions (NROI) to be compressed at lossy quality. In this paper, we present a region-based compression technique tailored for MRI brain scans. In… Read full abstract & cite →

Principal component analysis region-of-interest (ROI) automated segmentation MRI brain scans region-based compression

Abstract doi.org/10.14569/IJACSA.2022.0130229 PDF

30

Identify Discriminatory Factors of Traffic Accidental Fatal Subtypes using Machine Learning Techniques

Author 1: W. Z. Loskor Author 2: Sharif Ahamed

In today's world, traffic accidents are one of the main reasons of mortality and long-term injury. Bangladesh is no exception in this case. Several vehicle accidents each year have become an everyday occurrence in Bangladesh. Bangladesh's largest highway, the Dhaka-Banglabandha National Highway, has a significant number of accidents each year… Read full abstract & cite →

Traffic accident clustering analysis machine learning feature selection classification discriminatory factors

Abstract doi.org/10.14569/IJACSA.2022.0130230 PDF

31

A Review on Software Bug Localization Techniques using a Motivational Example

Author 1: Amr Mansour Mohsen Author 2: Hesham Hassan Author 3: Ramadan Moawad Author 4: Soha Makady

Software bug localization is an essential step within the software maintenance activity, consuming about 70% of the time and cost of the software development life cycle. Therefore, the need to enhance the automation process of software bug localization is important. This paper surveys various software bug localization techniques. Furthermore, a… Read full abstract & cite →

Bug localization bug localization artifacts information retrieval program spectrum

Abstract doi.org/10.14569/IJACSA.2022.0130231 PDF

32

Failure Region Estimation of Linear Voltage Regulator using Model-based Virtual Sensing and Non-invasive Stability Measurement

Author 1: Syukri Zamri Author 2: Mohd Hairi Mohd Zaman Author 3: Muhammad Fauzi Mohd Raihan Author 4: Asraf Mohamed Moubark Author 5: M Marzuki Mustafa

Voltage regulator (VR) stability plays an essential role in ensuring maximum power delivery and long-lasting electronic lifespan. Capacitor with a specific equivalent series resistance (ESR) range is typically connected at the VR output terminal to compensate for instability of the VR due to sudden changes in load current. The stability… Read full abstract & cite →

Voltage regulator output capacitor equivalent series resistance failure region system identification neural network noninvasive stability measurement

Abstract doi.org/10.14569/IJACSA.2022.0130232 PDF

33

Mobile Mathematics Learning Application Selection using Fuzzy TOPSIS

Author 1: Seren Basaran Author 2: Firass El Homsi

Impressive evolution of technology increased the usage frequency of smart mobile phones, and hence abundance in the quantity of available mobile applications has emerged as the vital problem of inventing practical and efficient ways for selecting suitable mobile applications for the desired use. Today, there are almost three million apps… Read full abstract & cite →

Fuzzy TOPSIS ISO/IEC 25010 standards mathematics mobile applications multi-criteria decision making

Abstract doi.org/10.14569/IJACSA.2022.0130233 PDF

34

An Optimal Execution of Composite Service in Decentralized Environment

Author 1: Yashwant Dongre Author 2: Rajesh Ingle

It is important for service-oriented architectures to consider about how the composition of web services affects business processes. For instance, a single web service may not have been adequate for most complex business operations, needing the use of multiple web services. This paper proposed a novel technique for optimal partitioning… Read full abstract & cite →

Genetic algorithm service composition decentralized execution composite service

Abstract doi.org/10.14569/IJACSA.2022.0130234 PDF

35

Design Processes for User Engagement with Mobile Health: A Systematic Review

Author 1: Tochukwu Ikwunne Author 2: Lucy Hederman Author 3: P. J. Wall

Despite the importance of user engagement in mHealth system efficacy, many such interventions fail to engage their users effectively. This paper provides a systematic review of 10 years of research (32 articles) on mHealth design interventions conducted between 2011 and 2020. The PRISMA (Preferred Reporting Items for Systematic Reviews and… Read full abstract & cite →

Design process mobile health socio-cultural user-centered design user engagement

Abstract doi.org/10.14569/IJACSA.2022.0130235 PDF

36

An Intelligent Metaheuristic Optimization with Deep Convolutional Recurrent Neural Network Enabled Sarcasm Detection and Classification Model

Author 1: K. Kavitha Author 2: Suneetha Chittineni

Sarcasm is a state of speech in which the speaker says something that is externally unfriendly with a purpose of abusing/deriding the listener and/or a third person. Since sarcasm detection is mainly based on the context of utterances or sentences, it is hard to design a model to proficiently detect… Read full abstract & cite →

Sarcasm detection data classification deep learning feature extraction TLBO algorithm parameter optimization

Abstract doi.org/10.14569/IJACSA.2022.0130236 PDF

37

DBTechVoc: A POS-tagged Vocabulary of Tokens and Lemmata of the Database Technical Domain

Author 1: Jatinder kumar R. Saini Author 2: Ketan Kotecha Author 3: Hema Gaikwad

Vocabulary of a language has a great role to play in the Natural Language Processing (NLP) applications. Such applications make use of lists like stop-word list, general service list, academic word list and technical domain word list. The technical domain word list differs with each domain and though it is… Read full abstract & cite →

Database lemma part-of-speech (POS) technical word list token unigram vocabulary

Abstract doi.org/10.14569/IJACSA.2022.0130237 PDF

38

Smart Monitoring System for Chronic Kidney Disease Patients based on Fuzzy Logic and IoT

Author 1: Govind Maniam Author 2: Jahariah Sampe Author 3: Rosmina Jaafar Author 4: Mohd Faisal Ibrahim

A Chronic Kidney Disease (CKD) monitoring system was proposed for early detection of cardiovascular disease (CVD) and anemia using Fuzzy Logic. To determine the heart rate and blood oxygen saturation, the proposed model was simulated using MATLAB and Simulink to handle ECG and PPG inputs. The Pan-Tompkins method was used… Read full abstract & cite →

Anemia cardiovascular disease (CVD) fuzzy logic healthcare internet of things

Abstract doi.org/10.14569/IJACSA.2022.0130238 PDF

39

Trust Management in Industrial Internet of Things using a Trusted E-Lithe Protocol

Author 1: Ahmed Motmi Author 2: Samah Alhazmi Author 3: Ahmed Abu-Khadrah Author 4: Mousa AL-Akhras Author 5: Fuad Alhosban

The IoT has gained significant recognition from research and industrial communities over the last decade. The concept of Industrial IoT (IIoT) has emerged to improve industrial processes and reduce downtime or breach in secure communication. If automated, industrial applications can make the implementation process more convenient, it also helps increase… Read full abstract & cite →

IoT industrial IIoT trust management E-lithe secure communication internet of things CoAP datagram transport layer security

Abstract doi.org/10.14569/IJACSA.2022.0130239 PDF

40

Machine Learning Application for Predicting Heart Attacks in Patients from Europe

Author 1: Enrique Arturo Elescano-Avendaño Author 2: Freddy Edson Huamán-Leon Author 3: Gilson Andreson Vasquez-Torres Author 4: Dayana Ysla-Espinoza Author 5: Enrique Lee Huamaní Author 6: Alexi Delgado

Even today, there are still a large number of people suffering from heart attacks, which have already claimed numerous lives worldwide. To examine the main components of this problem in an objective and timely manner, we chose to work with a methodology that relies on taking and learning from real… Read full abstract & cite →

Prediction machine learning model logistic regression heart attack

Abstract doi.org/10.14569/IJACSA.2022.0130240 PDF

41

Multi-Criteria Prediction Framework for the Prioritization of Council Candidates based on Integrated AHP-Consensus and TOPSIS Methods

Author 1: Nurul Akhmal Mohd Zulkefli Author 2: Muhamad Hariz Muhamad Adnan Author 3: Mukesh Madanan Author 4: Tariq Mohsen Hardan

Predicting the council candidate becomes difficult due to the large number of criteria that must be known and identified. The best candidate should be chosen from among the candidates because he or she will play an important role in the organization or institution. It is critical to find the right… Read full abstract & cite →

Analytic hierarchy process (AHP) technique for order of preference by similarity to ideal solution (TOPSIS) multi-criteria decision making (MCDM) student council

Abstract doi.org/10.14569/IJACSA.2022.0130241 PDF

42

A Novel Animated CAPTCHA Technique based on Persistence of Vision

Author 1: Shafiya Afzal Sheikh Author 2: M. Tariq Banday

Image-based CAPTCHA challenges have been successfully used to distinguish between humans and bots for a long time. However, image-based CAPTCHA techniques are constantly broken by hackers, forcing web developers to implement more robust security features and new approaches in CAPTCHA images. Modern-day bots can use many techniques and technologies to… Read full abstract & cite →

CAPTCHA OCR animation segmentation botnet HIP CAPTCHA usability

Abstract doi.org/10.14569/IJACSA.2022.0130242 PDF

43

Securing Dynamic Source Routing by Neighborhood Monitoring in Wireless Adhoc Network

Author 1: Rajani K C Author 2: Aishwarya P

Wireless Adhoc Network (WANET) significantly contributes to cost-effective network formulation due to decentralized and infrastructure-less schemes. One of the primary forms of WANET in Mobile Adhoc Network (MANET) is still evolving in research and a continued set of research problems associated with security. A review of existing security approaches shows… Read full abstract & cite →

Mobile adhoc network wireless adhoc network security attack dynamic source routing

Abstract doi.org/10.14569/IJACSA.2022.0130243 PDF

44

Free Hardware based System for Air Quality and CO2 Monitoring

Author 1: Cristhoper Alvarez-Mendoza Author 2: Jhon Vilchez-Lucana Author 3: Fernando Sierra-Liñan Author 4: Michael Cabanillas-Carbonell

Due to the increase in air pollution, especially in Latin American countries of low and middle income, great environmental and health risks have been generated, highlighting that there is more pollution in closed environments. Given this problem, it has been proposed to develop a system based on free hardware for… Read full abstract & cite →

Air quality air pollution co2 control system free hardware v-model

Abstract doi.org/10.14569/IJACSA.2022.0130244 PDF

45

Using HBase to Implement Speed Layer in Time Series Data Storage Systems

Author 1: Milko Marinov

In recent years, modern systems have become increasingly integrated, and the challenges are focused on delivering real-time analytics based on big data. Thus, using standard software tools to extract information from such datasets is not always possible. The Lambda Architecture proposed by Marz is an architectural solution that can manage… Read full abstract & cite →

Lambda architecture speed layer time series data data storage system

Abstract doi.org/10.14569/IJACSA.2022.0130245 PDF

46

Machine Learning Model for Prediction and Visualization of HIV Index Testing in Northern Tanzania

Author 1: Happyness Chikusi Author 2: Judith Leo Author 3: Shubi Kaijage

Human Immunodeficiency Virus Acquired Immunodeficiency Syndrome (HIV AIDS) in Tanzania is still a threatening disease in society. There have been various strategies to increase the number of people to know their HIV status. Among these strategies, HIV index testing has proven to be the best modality for collecting the number… Read full abstract & cite →

Index testing machine learning random forest xgboost artificial neural network

Abstract doi.org/10.14569/IJACSA.2022.0130246 PDF

47

Processing of Clinical Notes for Efficient Diagnosis with Dual LSTM

Author 1: Chandru A. S Author 2: Seetharam K

Clinical records contain patient information such as laboratory values, doctor notes, or medications. However, clinical notes are underutilized because notes are complex, high-dimensional, and sparse. However, these clinical records may play an essential role in modeling clinical decision support systems. The study aimed to develop an effective predictive learning model… Read full abstract & cite →

Clinical notes natutal language processing diagnosis long short term memory convolution neural network autoencoder

Abstract doi.org/10.14569/IJACSA.2022.0130247 PDF

48

A Smart Decision Making System for the Selection of Production Parameters using Digital Twin and Ontologies

Author 1: ABADI Mohammed Author 2: ABADI Chaimae Author 3: ABADI Asmae Author 4: BEN-AZZA Hussain

Currently, the industrial and economic environment is highly competitive, forcing companies to keep up with technological progress and to be efficient in terms of quality and responsiveness, not only to survive, but also to dominate the market. So, to achieve this goal, companies are always looking to master their production… Read full abstract & cite →

Production parameters selection digital twin case-based reasoning ontologies automation cyber-physical systems decision making artificial intelligence

Abstract doi.org/10.14569/IJACSA.2022.0130248 PDF

49

Data Mining Model for Predicting Customer Purchase Behavior in E-Commerce Context

Author 1: Orieb Abu Alghanam Author 2: Sumaya N. Al-Khatib Author 3: Mohammad O. Hiari

Nowadays e-commerce environment plays an important role to exchange commodity knowledge between consumers commonly with others. Accurately predicting customer purchase patterns in the e-commerce market is one of the critical applications of data mining. In order to achieve high profit in e-commerce, the relationship between customer and merchandise are very… Read full abstract & cite →

Apriori PT algorithm C4.5 CS-MC4 Data mining decision tree E-commerce K-means

Abstract doi.org/10.14569/IJACSA.2022.0130249 PDF

50

An Effective Analytics and Performance Measurement of different Machine Learning Algorithms for Predicting Heart Disease

Author 1: S. M. Hasan Sazzad Iqbal Author 2: Nasrin Jahan Author 3: Afroja Sultana Moni Author 4: Masuma Khatun

This Heart disease means any condition that affects to directly heart. Globally, Heart disease is the main reason for death. According to a survey, approximately 17.9 million people died from heart disease in 2019 (representing 32 percent of global deaths). The number of people dying is increasing at an alarming… Read full abstract & cite →

Machine learning heart disease prediction KNN naive bayes decision tree random forest support vector machine

Abstract doi.org/10.14569/IJACSA.2022.0130250 PDF

51

Implementation of Modified Wiener Filtering in Frequency Domain in Speech Enhancement

Author 1: C. Ramesh Kumar Author 2: M. P. Chitra

The most common complaint about Digital Hearing Aids is feedback noise. Many attempts have been undertaken in recent years to successfully reduce feedback noise. A wiener filter, which calculates the wiener gain using before and after filtering SNR, is one technique to reduce background noise. Modified Noise Reduction Method (MNRM)… Read full abstract & cite →

Digital hearing aid least mean square value noise reduction method power spectral density

Abstract doi.org/10.14569/IJACSA.2022.0130251 PDF

52

A Framework for Integrating the Distributed Hash Table (DHT) with an Enhanced Bloom’s Filter in Manet

Author 1: Renisha P Salim Author 2: Rajesh R

MANET, a self-organizing, infrastructure-less, wireless network is a fast-growing technology in day-to-day life. There is a rapid growth in the area of mobile computing due to the extent of economical and huge availability of wireless devices which leads to the extensive analysis of the mobile ad-hoc network. It consists of… Read full abstract & cite →

Mobile ad hoc network (MANET) distributed hash table (DHT) bloom’s filter link stability

Abstract doi.org/10.14569/IJACSA.2022.0130252 PDF

53

Spark based Framework for Supervised Classification of Hyperspectral Images

Author 1: N. Aswini Author 2: R. Ragupathy

The advancement of remote sensing sensors acquired large amount of image data easily. Primary aspects of big data, such as volume, velocity, and variety, are represented in the acquired images. Furthermore, standard data processing approaches have different limits when dealing with such large amounts of data. As a result, good… Read full abstract & cite →

Hyperspectral images spark supervised classifiers spectral features ANOVA F-test distributed processing

Abstract doi.org/10.14569/IJACSA.2022.0130253 PDF

54

Machine Learning Techniques for Sentiment Analysis of Code-Mixed and Switched Indian Social Media Text Corpus - A Comprehensive Review

Author 1: Gazi Imtiyaz Ahmad Author 2: Jimmy Singla Author 3: Anis Ali Author 4: Aijaz Ahmad Reshi Author 5: Anas A. Salameh

A comprehensive review of sentiment analysis for code-mixed and switched text corpus of Indian social media using machine learning (ML) approaches, based on recent research studies has been presented in this paper. Code-mixing and switching are linguistic behavior shown by the bilingual/multilingual population, primarily in spoken but also in written… Read full abstract & cite →

Sentiment analysis code mixing corpus deep learning machine learning NLP social media text

Abstract doi.org/10.14569/IJACSA.2022.0130254 PDF

55

Hybrid Routing Topology Control for Node Energy Minimization For WSN

Author 1: K Abdul Basith Author 2: T. N. Shankar

Wireless sensing has become an essential feature for minimizing energy for WSN applications. The foundation of the WSN is to implicate the uniqueness of the design feature capabilities, which are tied to different applications choices of interest. The implementation of pervasive algorithms with ubiquitous Network features are depicted with changes… Read full abstract & cite →

SCI (stochastic conditional inequality) LEACH clustering DDOS (distributed denial of service) DEEC (distributed energy efficient clustering) TETRA (terrestrial trunked radio) WSN (wireless sensor nework)

Abstract doi.org/10.14569/IJACSA.2022.0130255 PDF

56

FNU-BiCNN: Fake News and Fake URL Detection using Bi-CNN

Author 1: R. Sandrilla Author 2: M. Savitha Devi

Fake news (FN) has become a big problem in today's world, recognition partly to the widespread use of social media. A wide variety of news organizations and news websites post their stories on social media. It is important to verify that the information posted is genuine and obtained from reputable… Read full abstract & cite →

Bi-LSTM CNN WORDNET machine learning fake news and URL ARIMA

Abstract doi.org/10.14569/IJACSA.2022.0130256 PDF

57

Dynamic Vehicular Communication using Gaussian Interpolation of Cluster Head Selection (GI-CHS)

Author 1: Mahmoud Zaki Iskandarani

Decentralized and centralized vehicular communication is investigated in this work using Gaussian interpolation function with cluster head (CH) selection technique. The work uncovered that the best communication approach is to use both centralized and decentralized vehicular communication as combining them will achieve a much more uniform results as a function… Read full abstract & cite →

Cluster head VANETS adaptive routing weighted clustering Gaussian interpolation V2V V2I

Abstract doi.org/10.14569/IJACSA.2022.0130257 PDF

58

A Secure Unmanned Aerial Vehicle Service for Medical System to Improve Smart City Facilities

Author 1: Birasalapati Doraswamy Author 2: K. Lokesh Krishna Author 3: M. N. Giriprasad

The use of drone technology and drones are currently widespread due to their increasing applications. However, there are some specific security-based challenges in the authentication process. In most drone-based applications, there are many authentication approaches, which are subject to handover delay issues with security complexities for an attack. To end… Read full abstract & cite →

Drones security FFUDAS malicious attack fruit fly fitness path identification medicine delivery

Abstract doi.org/10.14569/IJACSA.2022.0130258 PDF

59

A Channeled Multilayer Perceptron as Multi-Modal Approach for Two Time-Frames Algo-Trading Strategy

Author 1: Noussair Fikri Author 2: Khalid Moussaid Author 3: Mohamed Rida Author 4: Amina El Omri Author 5: Noureddine Abghour

FOREX (Foreign Exchanges) is a 24H open market with an enormous daily volume. Most of the used Trading strategies, used individually, are not providing accurate signals. In this paper, we are proposing an automated trading strategy that fits random market behaviors. It is based on neural networks applying triple exponential… Read full abstract & cite →

FOREX neural networks EMA Bollinger band stochastic RSI momentum reversal MLP back-propagation feed-forward

Abstract doi.org/10.14569/IJACSA.2022.0130259 PDF

60

A Novel Cyber-attack Leads Prediction System using Cascaded R2CNN Model

Author 1: P. Shanmuga Prabha Author 2: S. Magesh Kumar

Novel prediction systems are required in almost all internet-connected platforms to safeguard the user information to get hacked by intermediate peoples. Finding the real impacted factors associated with the Cyber-attack probes are being considered for research. The proposed methodology is derived from various literature studies that motivated to find the… Read full abstract & cite →

Cyber security in smart devices cyber security cyber-attacks internet of things IoT devices machine learning wireless sensor networks

Abstract doi.org/10.14569/IJACSA.2022.0130260 PDF

61

A Secure and Robust Architecture based on Mobile Healthcare Applications for Patient Monitoring Environments

Author 1: Shaik Shakeel Ahamad Author 2: Majed Alowaidi

The recent outbreak of COVID-19 pandemic realized the importance of patient monitoring environments, Mobile Healthcare Applications (MHA) plays very crucial role in the successful implementation of patient monitoring environments. Existing MHA’s in the realm of patient monitoring environments are prone to repackaging attacks; do not ensure security, application security and… Read full abstract & cite →

Mobile healthcare applications (MHA) UICC (universal integrated circuit card) Kotlin language android studio ECDSA (elliptic curve digital signature algorithm) GCM mode end to end security

Abstract doi.org/10.14569/IJACSA.2022.0130261 PDF

62

A Novel Predictive Scheme for Confirming State of Bipolar Disorder using Recurrent Decision Tree

Author 1: Yashaswini K. A Author 2: Aditya Kishore Saxena

Bipolar disorder is one of the most challenging illnesses where medical science is still struggling to achieve its landmark therapies. After reviewing existing prediction-based approaches towards investigating bipolar disorder, it is noted that existing approaches are more or less symptomatic and relates depression as sadness. It implies various theories that… Read full abstract & cite →

Bipolar disorder depression recurrent neural network decision tree prediction sadness

Abstract doi.org/10.14569/IJACSA.2022.0130262 PDF

63

Objective Type Question Generation using Natural Language Processing

Author 1: G. Deena Author 2: K. Raja

Automatic Question Generation (AQG) is a research trend that enables teachers to create assessments with greater efficiency in right set of questions from the study material. Today's educational institutions require a powerful tool to correctly assess learner’s mastery of concepts learned through study materials. Objective type questions are an excellent… Read full abstract & cite →

Intelligent tutoring system true or false dependency parser natural language processing question generation

Abstract doi.org/10.14569/IJACSA.2022.0130263 PDF

64

IoT based Date Palm Water Management System Using Case-Based Reasoning and Linear Regression for Trend Analysis

Author 1: Ferddie Quiroz Canlas Author 2: Moayad Al Falahi Author 3: Sarachandran Nair

Palms trees (Phoenix dactylifera L.), Al Nakheel in Arabic are known to have cultural and economic importance to Gulf and Arabic-speaking countries. However, using the traditional method of cultivation, improper use, and depletion of water is perceived as the major challenge as farmers used almost two and a half times… Read full abstract & cite →

Date palm tree case-based reasoning IoT mobile application NodeMCU water management system

Abstract doi.org/10.14569/IJACSA.2022.0130264 PDF

65

AquaStat: An Arduino-based Water Quality Monitoring Device for Fish Kill Prevention in Tilapia Aquaculture using Fuzzy Logic

Author 1: Mark Rennel D. Molato

In the Philippines, Tilapia fish farming sector is vital to the economy in providing substantial employment, income and meeting local demand for protein sources of the Filipinos. However, the possible benefits that can be derived from this industry are at stake because of the sudden occurrences of fish kill events… Read full abstract & cite →

Fuzzy logic fuzzy sets fish kill freshwater aquaculture Tilapia

Abstract doi.org/10.14569/IJACSA.2022.0130265 PDF

66

Evaluation of Re-identification Risk using Anonymization and Differential Privacy in Healthcare

Author 1: Ritu Ratra Author 2: Preeti Gulia Author 3: Nasib Singh Gill

In the present scenario, due to regulations of data privacy, sharing of data with other organization for research or any medical purpose becomes a big hindrance for different healthcare organizations. To preserve the privacy of patients seems like a crucial challenge for Healthcare Centre. Numerous techniques are used to preserve… Read full abstract & cite →

Data privacy anonymization differential privacy re-identification risk analysis privacy preserving data publishing

Abstract doi.org/10.14569/IJACSA.2022.0130266 PDF

67

Implementation of QT Interval Measurement to Remove Errors in ECG

Author 1: S. Chitra Author 2: V. Jayalakshmi

Wireless Body Sensor Network (WBSNs) are devices that can be ported with different detection, storage, computer, but also communication capabilities. Interfacing was beneficial whenever information was collected by many sources, which may lead to erroneous sensory information. During this paper, an information nuclear fission Ensembles technique for working raw healthcare… Read full abstract & cite →

e-Health QT interval GPU ECG signal CKD IoT

Abstract doi.org/10.14569/IJACSA.2022.0130267 PDF

68

Game-based Learning Increase Japanese Language Learning through Video Game

Author 1: Yogi Udjaja Author 2: Puti Andam Suri Author 3: Ricky Satria Gunawan Author 4: Felix Hartanto

This research was purposed to test the effectiveness of learning the Japanese language through a video game. the video game is built for Personal Computer (PC) users to provide Japanese Language education through video games for teens and adults. The research methods used include literature studies of various books, journals… Read full abstract & cite →

Video games ELEKTRA games-based learning Japanese JLPT N5

Abstract doi.org/10.14569/IJACSA.2022.0130268 PDF

69

Fuzzy-set Theory to Support the Design of an Augmentative and Alternative Communication Systems for Aphasia Individuals

Author 1: Md. Sazzad Hossain

This paper presents a new design of an Augmentative and Alternative Communication (AAC) systems for conveying delicate feelings or emotions of aphasia individuals, which is based on Fuzzy-set theory. Fuzzy-set theory is crucial in addressing the ambiguity of linguistic terms used and judgments made by aphasia individuals. Due to the… Read full abstract & cite →

Aphasia augmentative and alternative communication human factors fuzzy-set theory

Abstract doi.org/10.14569/IJACSA.2022.0130269 PDF

70

Detecting Ransomware within Real Healthcare Medical Records Adopting Internet of Medical Things using Machine and Deep Learning Techniques

Author 1: Randa ELGawish Author 2: Mohamed Abo-Rizka Author 3: Rania ELGohary Author 4: Mohamed Hashim

The Internet of Medical Things was immensely implemented in healthcare systems during the covid 19 pandemic to enhance the patient's circumstances remotely in critical care units while keeping the medical staff safe from being infected. However, Healthcare systems were severely affected by ransomware attacks that may override data or lock… Read full abstract & cite →

Artificial neural networks deep learning healthcare system internet of things machine learning supervised learning

Abstract doi.org/10.14569/IJACSA.2022.0130270 PDF

71

Data Visualization of Influent and Effluent Parameters of UASB-based Wastewater Treatment Plant in Uttar Pradesh

Author 1: Parul Yadav Author 2: Aditya Chaudhary Author 3: Anand Keshari Author 4: Nitish Kumar Chaudhary Author 5: Priyanshu Sharma Author 6: Kumar Saurabh Author 7: Brijesh Singh Yadav

A rise in the population of a region implies an increase in water consumption and such a continuous increase in the usage of water worsens wastewater generation by the region. This escalation in wastewater (influent) requires the Wastewater Treatment Plants (WWTPs) to operate efficiently in order to process the demand… Read full abstract & cite →

Wastewater treatment plant Bharwara STP UASB-based plant influent or effluent prediction data visualization of influent and effluent machine learning based for WWTPs

Abstract doi.org/10.14569/IJACSA.2022.0130271 PDF

72

Forecasting Foreign Currency Exchange Rate using Convolutional Neural Network

Author 1: Manaswinee Madhumita Panda Author 2: Surya Narayan Panda Author 3: Prasant Kumar Pattnaik

Foreign exchange rate forecasting has always been in demand because it is critical for foreign traders to know how their money will perform against other currencies. Traders and investors are always looking for fresh ways to outperform the market and make more money. As a result, economists, researchers and investors… Read full abstract & cite →

Convolutional neural network exchange rate R square random forest regression method

Abstract doi.org/10.14569/IJACSA.2022.0130272 PDF

73

New Blockchain Protocol for Partial Confidentiality and Transparency (PPCT)

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

Running behind new technologies is increasingly becoming a non-circumventable requirement for organisms’ survival. This is not only a strategy to gain a competitive advantage in the market but it is a determinant key for their continuity and persistence. The Blockchain is at the heart of this technological revolution for which… Read full abstract & cite →

Blockchain security privacy confidentiality transparency integrity authentication validation process

Abstract doi.org/10.14569/IJACSA.2022.0130273 PDF

74

Image-based Automatic Counting of Bacillus cereus Colonies using Smartphone

Author 1: Phongsatorn Taithong Author 2: Siriwan Wichai Author 3: Rattapoom Waranusast Author 4: Panomkhawn Riyamongkol

Substantial amounts of Bacillus cereus bacteria present in food indicates that the food is unsafe to eat, so counting B. cereus colonies in food samples is a common test for food cleanliness. Manual counting of B. cereus bacteria colonies requires approximately 2-5 minutes per Petri dish, depending on the number… Read full abstract & cite →

Bacillus cereus bacteria colonies automatic counting android phone application image processing

Abstract doi.org/10.14569/IJACSA.2022.0130274 PDF

77

Path Optimization for Mobile Robots using Genetic Algorithms

Author 1: Fernando Martinez Santa Author 2: Fredy H. Martinez Sarmiento Author 3: Holman Montiel Ariza

This article proposes a path planning strategy for mobile robots based on image processing, the visibility graphs technique, and genetic algorithms as searching/optimization tool. This proposal pretends to improve the overall execution time of the path planning strategy against other ones that use visibility graphs with other searching algorithms. The… Read full abstract & cite →

Optimization path planning genetic algorithms visibility graphs

Abstract doi.org/10.14569/IJACSA.2022.0130277 PDF

78

Cryptanalysis of a Hamming Code and Logistic-Map based Pixel-Level Active Forgery Detection Scheme

Author 1: Oussama Benrhouma

In this paper, we analyze the security of a fragile watermarking scheme for tamper detection in images recently proposed by S. Prasad et al. The chaotic functions are used in the scheme to exploit its pseudo-random behavior and its sensibility to initial condition and control parameter, but despite that, security… Read full abstract & cite →

Cryptanalysis watermarking tamper detection at-tack chaotic functions forgery localization

Abstract doi.org/10.14569/IJACSA.2022.0130278 PDF

79

Wifi Indoor Positioning with Genetic and Machine Learning Autonomous War-Driving Scheme

Author 1: Pham Doan Tinh Author 2: Bui Huy Hoang

Wifi Fingerprinting is a widely used method for indoor positioning due to its proven accuracy. However, the offline phase of the method requires collecting a large quantity of data which costs a lot of time and effort. Furthermore, interior changes in the environment can have impact on system accuracy. This… Read full abstract & cite →

Wifi fingerprinting indoor positioning machine learning genetic algorithm

Abstract doi.org/10.14569/IJACSA.2022.0130279 PDF

80

Geolocation Mobile Application to Create New Routes for Cyclists

Author 1: Jesus F. Lalupu Aguirre Author 2: Laberiano Andrade-Arenas

In Peru in recent decades it has undergone unex-pected changes, often generating chaos among the population, such as the excess of vehicles that travel daily on the roads generating pollution. This has led people to seek alternatives, such as the use of bike, as a means of transportation. The objective… Read full abstract & cite →

Android studio cyclists mobile application geolo-cation scrum

Abstract doi.org/10.14569/IJACSA.2022.0130280 PDF

81

A Software Framework for Self-Organized Flocking System Motion Coordination Research

Author 1: Fredy Martinez Author 2: Holman Montiel Author 3: Edwar Jacinto

We describe and analyze the basic algorithms for the self-organization of a swarm of robots in coordinated motion as a flock of agents as a strategy for the solution of multi-agent tasks. This analysis allows us to postulate a simulation framework for such systems based on the behavioral rules that… Read full abstract & cite →

Flocking formation control motion planning multi-robot system obstacle avoidance swarm

Abstract doi.org/10.14569/IJACSA.2022.0130281 PDF

82

Trust-based Access Control Model with Quantification Method for Protecting Sensitive Attributes

Author 1: Mohd Rafiz Salji Author 2: Nur Izura Udzir Author 3: Mohd Izuan Hafez Ninggal Author 4: Nor Fazlida Mohd. Sani Author 5: Hamidah Ibrahim

The prevailing trend of the seamless digital collec-tion has prompted privacy concerns to the organization. In enforc-ing the automation of privacy policies and laws, access control has been one of the most devoted subjects. Despite the recent advances in access control frameworks and models, there are still issues that hinder… Read full abstract & cite →

Access control trust-based access control quantifi-cation method sensitive attributes privacy privacy protection

Abstract doi.org/10.14569/IJACSA.2022.0130282 PDF

83

Feature based Entailment Recognition for Malayalam Language Texts

Author 1: Sara Renjit Author 2: Sumam Mary Idicula

Textual entailment is a relationship between two text fragments, namely, text/premise and hypothesis. It has applications in question answering systems, multi-document sum-marization, information retrieval systems, and social network analysis. In the era of the digital world, recognizing semantic variability is important in understanding inferences in texts. The texts are either… Read full abstract & cite →

Textual entailment natural language inference Malayalam language machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2022.0130283 PDF

84

Towards Linguistic-based Evaluation System of Cloud Software as a Service (SaaS) Provider

Author 1: Mohammed Abdulaziz Ikram Author 2: Ryan Alturki Author 3: Farookh K. Hussain

Cloud Software as a Service (SaaS) is a type of delivering software application by using Cloud computing Infrastructure services. Cloud SaaS used the global Internet connection to offer its services to the client consumers. The selection of Cloud SaaS provider is based on the evaluation mechanism that the Cloud SaaS… Read full abstract & cite →

Cloud services software as a service (SaaS) eval-uation system quality of experience (QoE) fuzzy logic TOPSIS

Abstract doi.org/10.14569/IJACSA.2022.0130284 PDF

85

Rectenna Design for Enhanced Node Lifetime in Energy Harvesting WSNs

Author 1: Prakash K Sonwalkar Author 2: Vijay Kalmani

In a scenario where every possible solution is investigated for sustainability, Energy Harvesting (EH) stands as an undisputed candidate for enhancing the network lifetime in WSNs where node lifetime decides the network’s life. Radio Frequency (RF) energy is abundantly available in the ambience among all the available energy sources. Since… Read full abstract & cite →

Antenna design backscattering beamfroming en-ergy harvesting sequential rule wireless sensor networks

Abstract doi.org/10.14569/IJACSA.2022.0130285 PDF

86

Politicians-based Deep Learning Models for Detecting News, Authors and Media Political Ideology

Author 1: Khudran M. Alzhrani

Non-partisanship is one of the qualities that con-tribute to journalistic objectivity. Factual reporting alone cannot combat political polarization in the news media. News framing, agenda settings, and priming are influence mechanisms that lead to political polarization, but they are hard to identify. This paper attempts to automate the detection of… Read full abstract & cite →

Deep neural networks text classification political ideology politician personalization

Abstract doi.org/10.14569/IJACSA.2022.0130286 PDF

87

Multi-Spectral Imaging for Fruits and Vegetables

Author 1: Shilpa Gaikwad Author 2: Sonali Tidke

In the field of agriculture, fruit grading and veg-etable classification is an important and challenging task. The current fruit and vegetable classifications are done manually, which results in inconsistent performance. There is an influence of external surroundings on this manual classification. Sometimes getting an expert fruit or vegetable grader, is… Read full abstract & cite →

Multi-spectral imaging fruit grading vegetable classification fruit quality disease detection fruit maturity

Abstract doi.org/10.14569/IJACSA.2022.0130287 PDF

88

Detecting Malware Families and Subfamilies using Machine Learning Algorithms: An Empirical Study

Author 1: Esraa Odat Author 2: Batool Alazzam Author 3: Qussai M. Yaseen

Machine learning algorithms have proved their effectiveness in detecting malware. This paper conducts an em-pirical study to demonstrate the effectiveness of selected machine learning algorithms in detecting and classifying Android malware using permissions features. The used dataset consists of 9000 different malicious applications from the CIC-Maldroid2020, CIC-Maldroid2017 and CIC-InvesAndMal2019 datasets… Read full abstract & cite →

Malware classification machine learning SMOT information security

Abstract doi.org/10.14569/IJACSA.2022.0130288 PDF

89

Systematic Exploration and Classification of Useful Comments in Stack Overflow

Author 1: Prasadhi Ranasinghe Author 2: Nipuni Chandimali Author 3: Chaman Wijesiriwardana

Stack Overflow is a public platform for developers to share their knowledge on programming with an engaged community. Crowdsourced programming knowledge is not only generated through questions and answers but also through comments which are commonly known as developer discussions. Despite the availability of standard commenting guidelines on Stack Overflow… Read full abstract & cite →

Stack overflow useful comments machine learning SVM classification

Abstract doi.org/10.14569/IJACSA.2022.0130289 PDF

90

A New Index for Detecting Frequency of Unknown Underwater Weak Signals with Genetic Algorithm

Author 1: Weixiang Yu Author 2: Xiukui Li

In this paper, a new index is proposed for detecting the frequency of unknown underwater signals based on the stochastic resonance theory. When the received weak signal is input into the stochastic resonance system, first, by frequency analysis, the frequency with the highest amplitude Aₘ of the output signal spectrum… Read full abstract & cite →

Stochastic resonance underwater weak signal de-tection genetic algorithm frequency detection frequency-hopping signal index

Abstract doi.org/10.14569/IJACSA.2022.0130290 PDF

91

Extraction of Point-of-Interest in Multispectral Images for Face Recognition

Author 1: Kossi Kuma KATAKPE Author 2: Lyes AKSAS Author 3: Diarra MAMADOU Author 4: Pierre GOUTON

Security systems in companies, airports, enter-prises, etc. face numerous challenges. Among the major ones there is objects or face recognition. The problem with the robustness of recognition systems that usually affects color images nowadays can be addressed by multispectral image acquisition in the near infrared range with cameras equipped with… Read full abstract & cite →

Multispectral image hybrid sensor image mosaic-ing image demosaicing mosaic filter

Abstract doi.org/10.14569/IJACSA.2022.0130291 PDF

92

The Effectiveness of CATA Software in Exploring the Significance of Modal Verbs in Large Data Texts

Author 1: Ayman Farid Khafaga

This paper investigates the effectiveness of using and applying CATA (Computer-Aided Text Analysis) software in exploring the extent to which particular modals are significant in communicating the ideological and thematic messages of literary discourse. More specifically, the paper attempts to test the hypothesis that CATA software, including FDA (Frequency Distribution… Read full abstract & cite →

CATA software frequency distribution analysis ideologies modal verbs Bond’s Lear

Abstract doi.org/10.14569/IJACSA.2022.0130292 PDF

93

Detection of Criminal Behavior at the Residential Unit based on Deep Convolutional Neural Network

Author 1: H. A. Razak Author 2: Nooritawati Md Tahir Author 3: Ali Abd Almisreb Author 4: N. K. Zakaria Author 5: N. F. M. Zamri

Studies on abnormal behavior based on deep learning as a processing platform increase. Deep learning, specifically the convolutional neural network (CNN), is known for learning the features directly from the raw image. In return, CNN requires a high-performance hardware platform to accommodate its computational cost like AlexNet and VGG-16 with… Read full abstract & cite →

Abnormal behavior deep learning convolution neural network forensic posture property crime

Abstract doi.org/10.14569/IJACSA.2022.0130293 PDF

94

Teacher e-Training and Student e-Learning during the Period of Confinement Caused by Covid-19 in Case of Morocco

Author 1: Abdessamad El Omari Author 2: Malika Tridane Author 3: Said Belaaouad

The rapid advance of the new coronavirus imposes several drastic measures on the authorities to contain the virus and prevent its spread. The Ministry of Education has decreed the suspension of face-to-face classes in all schools. The pedagogical continuity, now a priority, must be carried out remotely through video conferencing… Read full abstract & cite →

COVID-19 e-learning e-training change innovation

Abstract doi.org/10.14569/IJACSA.2022.0130294 PDF

95

Performance Evaluation of Different Raspberry Pi Models for a Broad Spectrum of Interests

Author 1: Eric Gamess Author 2: Sergio Hernandez

Now-a-days, Single Board Computers (SBCs), especially Raspberry Pi (RPi) devices, are extensively used due to their low cost, efficient use of energy, and successful implementation in a wide range of applications; therefore, evaluating their performance is critical to better understand the applicability of RPis to solve problems in different areas… Read full abstract & cite →

Performance evaluation benchmarks raspberry pi single board computer

Abstract doi.org/10.14569/IJACSA.2022.0130295 PDF