IJACSA Vol. 13 Issue 4 (2022)

1

CISE: Community Engagement of CEB Cloud Ecosystem in Box

Author 1: Benjamin Garlington

The explosion of digital and observational data is having a profound effect on the nature of scientific inquiry, requiring new approaches to manipulating and analyzing large and complex data and increasing the need for collaborative solid research teams to address these challenges. These data, along with the availability of computational… Read full abstract & cite →

Collaboration outreach engagement narrowcasting conceptual methodological storage-as-a-service software-as-a-service data-as-a-service infrastructure-as-a-service platform-as-a-service cloud-ecosystem minority serving institutions (MSI)

Abstract doi.org/10.14569/IJACSA.2022.0130401 PDF

2

BEAM: A Network Topology Framework to Detect Weak Signals

Author 1: Hiba Abou Jamra Author 2: Marinette Savonnet Author 3: Eric Leclercq

In these days, strategic decision making and im-mediate action are becoming a complex task for companies and policymakers, since the environment is subject to emerging changes that might include unknown factors. When facing these challenges, companies are exposed to opportunities for growth, but also to threats. Therefore, they seek to… Read full abstract & cite →

Weak signals network analysis network topology graphlets

Abstract doi.org/10.14569/IJACSA.2022.0130402 PDF

3

Soft-sensor of Carbon Content in Fly Ash based on LightGBM

Author 1: Liu Junping Author 2: Luo Hairui Author 3: Huang Xiangguo Author 4: Peng Tao Author 5: Zhu Qiang Author 6: Hu XinRong Author 7: He Ruhan

The soft-sensor method of carbon content in fly ash is to predict and calculate the carbon content of boiler fly ash by modeling the distributed control system (DCS) data of thermal power stations. A novel data-driven soft-sensor model that combines data pre-processing, feature engineering and hyperparameter optimization for application in… Read full abstract & cite →

LightGBM carbon content fly ash soft-sensor feature engineering Bayesian optimization

Abstract doi.org/10.14569/IJACSA.2022.0130403 PDF

4

Research on Intelligent Natural Language Texts Classification

Author 1: Chen Xiao Yu Author 2: Zhang Xiao Min

Natural language texts widely exist in many aspects of social life, and classification is of great significance to its efficient use and normalized preservation. Manual texts classification has the problems such as labor intensive, experience dependent and error prone, therefore, the research on intelligent classification of natural language texts has… Read full abstract & cite →

Machine learning natural language texts text vectorization classification information processing

Abstract doi.org/10.14569/IJACSA.2022.0130404 PDF

5

Image Analysis of Heat-Affected Zone of Laser-Cut Heat-Resistant Paper using Otsu Thresholding Technique

Author 1: Shalida Mohd Rosnan Author 2: Kong Peifu Author 3: Toshiharu Enomae Author 4: Nakagawa-Izumi Akiko

Since ancient times, natural fibers have been essential in paper production and packaging fabrication. However, beauty-marring carbonization, or a heat-affected zone (HAZ) generated during the laser cutting process of paper materials ¬¬¬led to an intriguing discussion on the possibility of reducing this defect zone. Thus, paper loaded with aluminum hydroxide… Read full abstract & cite →

Heat-affected zone image analysis image processing laser cutting thresholding

Abstract doi.org/10.14569/IJACSA.2022.0130405 PDF

6

Hadoop as a Service: Integration of a Company’s Heterogeneous Data to a Remote Hadoop Infrastructure

Author 1: Yordan Kalmukov Author 2: Milko Marinov

Data analysis is very important for the development of any business today. It helps to identify organizational bottlenecks, optimize business processes, foresee customers’ demands and behavior, and provides summarized data that could help reducing costs and increase profits. Having this information when designing new products or services highly increases the… Read full abstract & cite →

Hadoop integration data analytical tools heterogeneous data integration Hadoop distributed file system (HDFS) HBase hive

Abstract doi.org/10.14569/IJACSA.2022.0130406 PDF

7

Method for Estimation of Oleic Acid Content in Soy Plants using Green Band Data of Sentinel-2/MSI

Author 1: Kohei Arai Author 2: Yoshitomo Hideshima Author 3: Yuuhi Iwaki Author 4: Ryota Ito

A method for estimation of oleic acid content in soy plants using green band data of Sentinel-2/MSI: Multi Spectral Imager is proposed. Conventionally, vitality of agricultural plants is estimated with NDVI: Normalized Difference Vegetation Index. Spatial resolution of Near Infrared: NIR band of Sentinel-2/MSI for calculation of NDVI, however, is… Read full abstract & cite →

Oleic acid NDVI (normalized difference vegetation index) regressive analysis soy plant Multi Spectral Imager: MSI

Abstract doi.org/10.14569/IJACSA.2022.0130407 PDF

8

Portable ECG Monitoring System

Author 1: Zhadyra N. Alimbayeva Author 2: Chingiz A. Alimbayev Author 3: Nurlan A. Bayanbay Author 4: Kassymbek A. Ozhikenov Author 5: Oleg N. Bodin Author 6: Yerkat B. Mukazhanov

The number of patients with cardiovascular diseases (CVD) is rapidly increasing in the world. Many CVDs are likely to manifest their symptoms some time prior to the onset of any adverse or catastrophic events, and early detection of cardiac abnormalities is incredibly important. To reduce the risks of life-threatening arrhythmia… Read full abstract & cite →

Electrocardiography portable ECG device ECG monitoring systems cardiovascular diseases mobile healthcare

Abstract doi.org/10.14569/IJACSA.2022.0130408 PDF

9

Development of an IoT Device for Measurement of Respiratory Rate in COVID-19 Patients

Author 1: Jean Pierre Tincopa Author 2: Paulo Vela-Anton Author 3: Cender U. Quispe-Juli Author 4: Anthony Arostegui

During the COVID-19 pandemic, patients who required face-to-face attention and tested positive, even showing signs of high risk, were forced to isolate themselves in their own homes immediately without adequate medical monitoring. Continuous remote monitoring of their vital signs would have helped to avoid subsequent hospitalization caused by the progression… Read full abstract & cite →

Covid-19 respiration rate internet of things vital signs hardware

Abstract doi.org/10.14569/IJACSA.2022.0130409 PDF

10

Design and Implementation of Teaching Assistant System for Mechanical Course based on Mobile AR Technology

Author 1: Jinglei Qu Author 2: Bingxin Ma Author 3: Lulu Zheng Author 4: Yuhui Kang

Augmented reality technology has become a hot spot in many fields because of its unique real-time interaction and the ability to add virtual objects in 3D video space. To enable students better understand and master traditional mechanical courses and solve the limitations of the courseware teaching method, a teaching assistant… Read full abstract & cite →

Augmented reality teaching assistance mechanical teaching visual operation

Abstract doi.org/10.14569/IJACSA.2022.0130410 PDF

11

Extended Max-Occurrence with Normalized Non-Occurrence as MONO Term Weighting Modification to Improve Text Classification

Author 1: Cristopher C. Abalorio Author 2: Ariel M. Sison Author 3: Ruji P. Medina Author 4: Gleen A. Dalaorao

The increased volume of data due to advancements in the internet and relevant technology makes text classification of text documents a popular demand. Providing better representations of the feature vector by setting appropriate term weight values using supervised term weighting schemes improves classification performance in classifying text documents. A state-of-the-art… Read full abstract & cite →

Extended MO normalized NO text classification term weighting scheme

Abstract doi.org/10.14569/IJACSA.2022.0130411 PDF

12

Assessing Digital Readiness of Small Medium Enterprises: Intelligent Dashboard Decision Support System

Author 1: Okfalisa Author 2: Mahyarni Author 3: Wresni Anggraini Author 4: Saktioto Author 5: B. Pranggono

The implication of the Covid-19 global pandemic is driving the transition of SMEs’ business towards digitalization. However, despite the use of the digital platform, many SMEs are unable to survive. Therefore, this study included a focus on Decision Support System (DSS)-based dashboard model as a new feature in assessing SMEs’… Read full abstract & cite →

Decision support system digital readiness fuzzy analytical hierarchy process business intelligent dashboard objective matrix

Abstract doi.org/10.14569/IJACSA.2022.0130412 PDF

13

A Novel IoT Architecture for Seamless IoT Integration into University Systems

Author 1: Wafa Altwoyan Author 2: Ibrahim S. Alsukayti

IoT architectures play critical roles in guiding IoT system construction and enhancing IoT integration. However, there is still no standardized IoT architecture that meets the varying requirements of different IoT deployments. Although this has been a focus within the research community, no specific attention has been paid to optimizing an… Read full abstract & cite →

Internet of things architecture smart campus education

Abstract doi.org/10.14569/IJACSA.2022.0130413 PDF

14

Software Defined Network based Load Balancing for Network Performance Evaluation

Author 1: Omran M. A. Alssaheli Author 2: Z. Zainal Abidin Author 3: N. A. Zakaria Author 4: Z. Abal Abas

Load balancing distributes incoming network traffic across multiple controllers that improve the availability of the internet for users. The load balancing is responsible to maintain the internet availability to users in 24 hours by 7 days a week. However, the internet become unavailable since the load balancer is inflexibility, costly… Read full abstract & cite →

Load balancing software-defined network (SDN) SDN load balancing network performance Mininet

Abstract doi.org/10.14569/IJACSA.2022.0130414 PDF

15

An Efficient Productive Feature Selection and Document Clustering (PFS-DocC) Model for Document Clustering

Author 1: Perumal Pitchandi

In mining, document clustering pretends to diminish the document size by constructing the clustering model which is extremely essential in various web-based applications. Over the past few decades, various mining approaches are analysed and evaluated to enhance the process of document clustering to attain better results; however, in most cases… Read full abstract & cite →

Benchmark standards document clustering productive feature selection multiple clustering web applications

Abstract doi.org/10.14569/IJACSA.2022.0130415 PDF

16

Smart Elevator Obstruction Detection System using Image Classification

Author 1: Preethi Chandirasekeran Author 2: Shridevi S

This paper proposes an approach that leverages real-time Image Classification to improve elevator safety. Elevators are a necessity for most multi story buildings. As a result, they play a crucial role in the lives of millions of people around the world. Despite this, there has been limited advancement in the… Read full abstract & cite →

Binary image classification machine learning deep learning elevator safety

Abstract doi.org/10.14569/IJACSA.2022.0130416 PDF

17

The SMILE, A Cyber Pedagogy based Learning Management System Models

Author 1: Paula Dewanti Author 2: I Made Candiasa Author 3: I Made Tegeh Author 4: I Gde Wawan Sudatha

The study's purpose is to create an LMS model that is adapted to the characteristics of university students to enhance the learning experience by utilizing various multidimensional learning resources in Cyber Pedagogy. This research and development study used the Analyze, Design, Develop, Implement, and Evaluate (ADDIE) instructional design framework as… Read full abstract & cite →

ADDIE cyber pedagogy e-learning higher education learning management system

Abstract doi.org/10.14569/IJACSA.2022.0130417 PDF

18

Location-based Mobile Application for Blood Donor Search

Author 1: Orlando Iparraguirre-Villanueva Author 2: Fernando Sierra-Linan Author 3: Michael Cabanillas-Carbonell

Technological advances and the massive use of mobile devices have led to the exponential evolution of mobile applications in the health sector. Blood donation centers frequently suffer blood shortages due to lack of donations, which is why blood donation requests are frequently seen on social networks for blood donors in… Read full abstract & cite →

Blood banks location mobile applications donor applicant blood bank mobile apps

Abstract doi.org/10.14569/IJACSA.2022.0130418 PDF

19

Soil Nutrients Prediction and Optimal Fertilizer Recommendation for Sustainable Cultivation of Groundnut Crop using Enhanced-1DCNN DLM

Author 1: Sivasankaran S Author 2: K. Jagan Mohan Author 3: G. Mohammed Nazer

Cultivation of crops and their parallel production yields hugely depend upon the fertility composition of the soil in which the crops are being cultivated. The prime fertility factors which contribute towards the health of the soil are the available soil nutrients. Varying climatic conditions and improper cultivation patterns have resulted… Read full abstract & cite →

Soil nutrients Enhc-ID-CNN DLM nutrient classification fertilizer recommendation

Abstract doi.org/10.14569/IJACSA.2022.0130419 PDF

20

Performance Evaluation of Different Supervised Machine Learning Algorithms in Predicting Linear Accelerator Multileaf Collimator Positioning’s Accuracy Problem

Author 1: Hamed S. El-Ghety Author 2: Ismail Emam Author 3: AbdelMagid M. Ali

Radiation Oncology is one of the businesses that employs Machine Learning to automate quality assurance tests so that errors and defects can be reduced, avoided, or eliminated as much as possible during tumor therapy using a Linear Accelerator with MultiLeaf Collimator (Linac MLC). The majority of Machine Learning applications have… Read full abstract & cite →

Linear accelerators logistic regression performance evaluation prediction methods supervised learning

Abstract doi.org/10.14569/IJACSA.2022.0130420 PDF

21

Collaborative Course Assignment Problem to Minimize Unserved Classes and Optimize Education Quality

Author 1: Purba Daru Kusuma Author 2: Ratna Astuti Nugrahaeni

This work proposes a collaborative course assignment model among universities. It is different from existing studies in educational assignment problems or course timetabling, where the scope is only within the institution or department. In this work, the system consists of several universities. A collaborative approach is conducted so that lecturers… Read full abstract & cite →

Course assignment problem simulated annealing collaborative model online teaching combinatorial problem

Abstract doi.org/10.14569/IJACSA.2022.0130421 PDF

22

A Novel Morphological Analysis based Approach for Dynamic Detection of Inflected Gujarati Idioms

Author 1: Jatin C. Modh Author 2: Jatinderkumar R. Saini Author 3: Ketan Kotecha

The Gujarati language is primarily spoken by Gujarati people living in the state of Gujarat, India. It is the medium of communication in the state of Gujarat. In the Gujarati language, ‘rudhiprayog’ i.e. idiom is a very much popular form of expression. It represents the real flavour of the Gujarati… Read full abstract & cite →

Gujarati idiom machine translation system (MTS) morphological analysis natural language processing (NLP) rudhiprayog

Abstract doi.org/10.14569/IJACSA.2022.0130422 PDF

23

Towards Employee Perceived Satisfaction in using Citrix Workspace Technology

Author 1: Bandar Ali Al Fehaidi Author 2: Muhammad Asif Khan

In view of increasing use of technologies and their impacts in businesses, companies are now using technology to accelerate business processes. However, some companies are still failing to achieve the desired promising results by using technology. Technology in any company succeeds only when the people working in the company accept… Read full abstract & cite →

Citrix workspace employee satisfaction secure remote access mobile worker TAM

Abstract doi.org/10.14569/IJACSA.2022.0130423 PDF

24

Bearing Fault Detection based on Internet of Things using Convolutional Neural Network

Author 1: Sovon Chakraborty Author 2: F. M. Javed Mehedi Shamrat Author 3: Rasel Ahammad Author 4: Md. Masum Billah Author 5: Moumita Kabir Author 6: Md Rabbani Hosen

In the age of the industrial revolution, industry and machinery are elements of the utmost importance to the development of human civilization. As industries are dependent on their machines, regular maintenance of these machines is required. However, if the machine is too big for humans to look after, we need… Read full abstract & cite →

Accuracy convolution 1D convolution 2D data loss faulty machinery mobileNetV2 precision

Abstract doi.org/10.14569/IJACSA.2022.0130424 PDF

25

Three Layer Authentications with a Spiral Block Mapping to Prove Authenticity in Medical Images

Author 1: Ferda Ernawan Author 2: Afrig Aminuddin Author 3: Danakorn Nincarean Author 4: Mohd Faizal Ab Razak Author 5: Ahmad Firdaus

Digital medical image has a potential to be manipulated by unauthorized persons due to advanced communication technology. Verifying integrity and authenticity have become important issues on the medical image. This paper proposed a self-embedding watermark using a spiral block mapping for tamper detection and restoration. The block-based coding with the… Read full abstract & cite →

Fragile watermarking self-embedding image authentication self-recovery medical image spiral block mapping

Abstract doi.org/10.14569/IJACSA.2022.0130425 PDF

26

Assessing Node Trustworthiness through Adaptive Trust Threshold for Secure Routing in Mobile Ad Hoc Networks

Author 1: M Venkata Krishna Reddy Author 2: P. V. S. Srinivas Author 3: M. Chandra Mohan

In the field of communication, Mobile Ad-hoc networks (MANET) have become popular and widely used. However, there are many security challenges in communication through these networks due to the presence of malicious nodes. The aim of this article is to present a novel adaptive threshold trust based approach for isolating… Read full abstract & cite →

Node trustworthiness misbehaving nodes secure trust static threshold adaptive threshold secure routing

Abstract doi.org/10.14569/IJACSA.2022.0130426 PDF

27

An Ontology Model for Medical Tourism Supply Chain Knowledge Representation

Author 1: Worawit Janchai Author 2: Abdelaziz Bouras Author 3: Veeraporn Siddoo

This study developed an application ontology related to the medical tourism supply chain domain (MTSC). The motivation for developing an ontology is that current MTSC studies use a descriptive approach to provide knowledge, which is difficult to comprehend and apply. The formalization of MTSC knowledge can provide medical tourism stakeholders… Read full abstract & cite →

Medical tourism application ontology supply chain ontology development knowledge representation

Abstract doi.org/10.14569/IJACSA.2022.0130427 PDF

28

Stochastic Marine Predator Algorithm with Multiple Candidates

Author 1: Purba Daru Kusuma Author 2: Ratna Astuti Nugrahaeni

This work proposes a metaheuristic algorithm that modifies the marine predator algorithm (MPA), namely, the stochastic marine predator algorithm with multiple candidates (SMPA-MC). The modification is conducted in several aspects. The proposed algorithm replaces the three fixed equal size iteration phases with linear probability. Unlike the original MPA, in this… Read full abstract & cite →

Metaheuristic marine predator algorithm stochastic system production planning

Abstract doi.org/10.14569/IJACSA.2022.0130428 PDF

29

A Novel High-Speed Key Transmission Technique to Avoid Fiddling Movements in e-Commerce

Author 1: A. B. Hajira Be Author 2: R. Balasubramanian

To prevent fraud in e-shopping, the High-Speed Key Transmission Technique (HSKT) is primarily focused on safe and effectual transactions of payments and product content. The privacy of users, traders, trader information, product content, and the payment procedure are all protected by this framework. High speed key transmission is also committed… Read full abstract & cite →

Secret key encryption decryption transaction HSKT

Abstract doi.org/10.14569/IJACSA.2022.0130429 PDF

30

Machine Learning Algorithms for Document Classification: Comparative Analysis

Author 1: Faizur Rashid Author 2: Suleiman M. A. Gargaare Author 3: Abdulkadir H. Aden Author 4: Afendi Abdi

Automated document classification is the machine learning fundamental that refers to assigning automatic categories among scanned images of the documents. It reached the state-of-art stage but it needs to verify the performance and efficiency of the algorithm by comparing. The objective was to get the most efficient classification algorithms according… Read full abstract & cite →

Document classification machine learning algorithms text classification analysis

Abstract doi.org/10.14569/IJACSA.2022.0130430 PDF

31

A Novel Evolving Sentimental Bag-of-Words Approach for Feature Extraction to Detect Misinformation

Author 1: Yashoda Barve Author 2: Jatinderkumar R. Saini Author 3: Kaushika Pal Author 4: Ketan Kotecha

The state-of-the-art misinformation detection techniques mainly focus on static datasets. However, a massive amount of information is generated online and the websites are flooded with this legitimate information and misinformation. It is difficult to keep track of this changing information and provide up-to-date accurate status of webpages giving either legitimate… Read full abstract & cite →

Misinformation detection healthcare incremental learning sentiment analysis bag-of-words

Abstract doi.org/10.14569/IJACSA.2022.0130431 PDF

32

Data Security Awareness in Online Learning

Author 1: Rosilah Hassan Author 2: Wahiza Wahi Author 3: Nurul Halimatul Asmak Ismail Author 4: Samer Adnan Bani Awwad

The Covid-19 pandemic has intensified the online learning activities, which have becoming the most crucial platforms for learning sessions. With these online learning activities, a major concern arises particularly on the security of educators and students’ data. Every element in an online learning system can be a potential target of… Read full abstract & cite →

Covid-19 IR4.0 education 4.0 online learning data security

Abstract doi.org/10.14569/IJACSA.2022.0130432 PDF

33

KP-USE: An Unsupervised Approach for Key-Phrases Extraction from Documents

Author 1: Lahbib Ajallouda Author 2: Fatima Zahra Fagroud Author 3: Ahmed Zellou Author 4: Elhabib Ben Lahmar

Automatic key-phrase extraction (AKE) is one of the most popular research topics in the field of natural language processing (NLP). Several techniques were used to extract the key-phrases: statistical, graph-based, classification algorithms, deep learning, and embedding techniques. AKE approaches that use embedding techniques are based on calculating the semantic similarity… Read full abstract & cite →

Key-phrase extraction natural language processing semantic similarity embedding technique universal sentence encoder

Abstract doi.org/10.14569/IJACSA.2022.0130433 PDF

34

Design of a Multiloop Controller for a Nonlinear Process

Author 1: S Anbu Author 2: M Senthilkumar Author 3: T S Murugesh

Among the category of nonlinear processes, the Continuous Stirred Tank Reactor (CSTR) is one popular unit that finds application in various verticals of chemical process industries. The process variables within the CSTR are highly interactive; hence developing control strategies become a laborious task as it can be viewed as a… Read full abstract & cite →

Nonlinear process interaction multi input multi output control closed loop performance stability

Abstract doi.org/10.14569/IJACSA.2022.0130434 PDF

35

License Plates Detection and Recognition with Multi-Exposure Images

Author 1: Seong-O Shim Author 2: Romil Imtiaz Author 3: Asif Siddiq Author 4: Ishtiaq Rasool Khan

Automatic License Plate Recognition (ALPR) has been an important research topic for many years in the intelligent transportation system and image recognition fields. License Plate (LP) detection and recognition has always been a challenging issue due to several factors, including different weather and lighting, unavoidable data acquisition noise, and requirement… Read full abstract & cite →

License plate detection character recognition multi-exposure images convolutional neural networks

Abstract doi.org/10.14569/IJACSA.2022.0130435 PDF

36

An Urban Water Infrastructure Management System Design with Storm Water Intervention for Smart Cities

Author 1: Edward B. Panganiban Author 2: Rafael J. Padre Author 3: Melanie A. Baguio Author 4: Oliver B. Francisco Author 5: Orlando F. Balderama

Cauayan City is one of the hubs of economic development and activities in the northern part of the Philippines. Since this is an urban area, there is a tendency for people and businesses to converge, which results in higher water demand. At present, the combined distribution efficiency of its water… Read full abstract & cite →

Water infrastructure geographic information systems storm water decision support systems water management

Abstract doi.org/10.14569/IJACSA.2022.0130436 PDF

37

Sentiment Analysis on Amazon Product Reviews using the Recurrent Neural Network (RNN)

Author 1: Roobaea Alroobaea

In this paper, the problem of sentiment analysis on Amazon products is tackled. In fact, sentiment analysis systems are applied in all business and social fields. This is because the opinions are at the center of all human activities, and they are key influencers of our behaviors. In this study… Read full abstract & cite →

Sentiment analysis natural language processing deep learning RNN

Abstract doi.org/10.14569/IJACSA.2022.0130437 PDF

38

Arabic Sign Language Recognition using Lightweight CNN-based Architecture

Author 1: Batool Yahya AlKhuraym Author 2: Mohamed Maher Ben Ismail Author 3: Ouiem Bchir

Communication is a critical skill for humans. People who have been deprived from communicating through words like the rest of humans, usually use sign language. For sign language, the main signs features are the handshape, the location, the movement, the orientation and the non-manual component. The vast spread of mobile… Read full abstract & cite →

Arabic sign language recognition supervised learning deep learning efficient lightweight network based convolutional neural network

Abstract doi.org/10.14569/IJACSA.2022.0130438 PDF

39

Review of Industry Workpiece Classification and Defect Detection using Deep Learning

Author 1: Changxing Chen Author 2: Azween Abdullah Author 3: S. H. Kok Author 4: D. T. K. Tien

Object detection and classification denotes one of the most extensively-utilized machine vision applications given the high requirements put forward for object classification and defect detection with the rise of object recognition scenes. Notwithstanding, conventional image recognition processing technology encounters specific drawbacks. Its benefits and limitations were duly compared upon selecting… Read full abstract & cite →

Convolutional neural network image processing image recognition defect detection deep learning

Abstract doi.org/10.14569/IJACSA.2022.0130439 PDF

40

Enterprise Architecture for Smart Enterprise System

Author 1: Meuthia Rachmaniah Author 2: Arif Imam Suroso Author 3: Muhamad Syukur Author 4: Irman Hermadi

The chili agrosystem faces many challenges, and the enterprise architecture (EA) artifacts as the building block of a chili enterprise system (ES) are not exist. This research is a qualitative systematic literature review as part of developing intelligent ES to examine chili's production, consumption, and price. The first step toward… Read full abstract & cite →

Chili agrosystem enterprise architecture intelligent enterprise supply chain Zachman framework

Abstract doi.org/10.14569/IJACSA.2022.0130440 PDF

41

Virtual Reality Application for Pain Management: User Requirements

Author 1: Ioan Alexandru Bratosin Author 2: Ionel Bujorel Pavaloiu Author 3: Nicolae Goga Author 4: Andreea Iuliana Luca

The usage of fully immersive Virtual Reality applications for pain relief is still in an exploratory stage. In consequence there is a need to understand the user perspective and wishes regarding this kind of product. To address this issue, this paper presents quantitative research in order to establish the functional… Read full abstract & cite →

Virtual Reality user requirements serious games therapy

Abstract doi.org/10.14569/IJACSA.2022.0130441 PDF

42

Integration of Convolutional Neural Networks and Recurrent Neural Networks for Foliar Disease Classification in Apple Trees

Author 1: Disha Garg Author 2: Mansaf Alam

Automated methods intended for image classification have become increasingly popular in recent years, with applications in the agriculture field including weed identification, fruit classification, and disease detection in plants and trees. In image classification, convolutional neural networks (CNN) have already shown exceptional results but the problem with these models is… Read full abstract & cite →

Artificial intelligence deep learning transfer learning convolutional neural network recurrent neural network LSTM

Abstract doi.org/10.14569/IJACSA.2022.0130442 PDF

43

Modern City Issues, Management and the Critical Role of Information and Communication Technology

Author 1: Qasim Hamakhurshid Hamamurad Author 2: Normal Mat Jusoh Author 3: Uznir Ujang

Cities are currently dealing with major difficulties that no longer allow slight adjustments to the way cities operate. Instead, local officials must devise creative, transformative solutions. Fortunately, novel approaches to municipal administration and technological advancements are providing city officials with new and beneficial tools. As a result of these improvements… Read full abstract & cite →

Cities modern city smart city COVID-19 information communication technology (ICT) challenges data geographic information system (GIS)

Abstract doi.org/10.14569/IJACSA.2022.0130443 PDF

44

A Novel Framework for Sanskrit-Gujarati Symbolic Machine Translation System

Author 1: Jaideepsinh K. Raulji Author 2: Jatinderkumar R. Saini Author 3: Kaushika Pal Author 4: Ketan Kotecha

Sanskrit falls under the Indo-European language family category. Gujarati, which has descended from the Sanskrit language, is a widely spoken language particularly in the Indian state of Gujarat. The proposed and realized Machine Translation framework uses a grammatical transfer approach to translate the written Sanskrit language to Gujarati. Because both… Read full abstract & cite →

Bilingual synonym dictionary Gujarati lemmatization machine translation system (MTS) morphological analyzer Sanskrit synthesizer transliteration

Abstract doi.org/10.14569/IJACSA.2022.0130444 PDF

45

Detection and Analysis of Oil Spill using Image Processing

Author 1: Myssar Jabbar Hammood AL-BATTBOOTTI Author 2: Nicolae GOGA Author 3: Iuliana MARIN

Thousands of oil spills occur every year on offshore oil production platforms. Moreover, ships that crosses rivers to reach the harbor cause spills each year. The current study focuses on IRAQI marine and rivers, especially Al-Bakr, Khor al-Amaya, ABOT oil terminal and SHAT AL-Arab river inside Al Başrah oil terminal… Read full abstract & cite →

PipelineMLML oil spill artificial intelligence machine learning

Abstract doi.org/10.14569/IJACSA.2022.0130445 PDF

46

Smart Information Retrieval using Query Transformation based on Ontology and Semantic-Association

Author 1: Ram Kumar Author 2: S. C. Sharma

A notable problem with current information retrieval systems is that the input queries cannot express user information needs properly. This imprecise representation of the query hampers the effectiveness of the retrieval system. One method to solve this problem is to transform the original query into a more meaningful form. This… Read full abstract & cite →

Ontology semantics information retrieval query transformation indexing

Abstract doi.org/10.14569/IJACSA.2022.0130446 PDF

47

Characters Segmentation from Arabic Handwritten Document Images: Hybrid Approach

Author 1: Omar Ali Boraik Author 2: M. Ravikumar Author 3: Mufeed Ahmed Naji Saif

Character segmentation in Unconstrained Arabic handwriting is a complex and challenging task due to the overlapping and touching of words or letters. Such issues have not been widely investigated in the literature. Addressing these issues in the segmentation stage reduces errors in the segmentation process, which plays a significant role… Read full abstract & cite →

Arabic handwritten character recognition connected components word segmentation character segmentation morphological operators overlapping and touching characters

Abstract doi.org/10.14569/IJACSA.2022.0130447 PDF

48

Machine Learning for Exhibition Recommendation in a Museum’s Virtual Tour Application

Author 1: Shinta Puspasari Author 2: Ermatita Author 3: Zulkardi

The museum visit is having a crisis during the COVID-19 pandemic. SMBII Museum in Palembang has a remarkable decrease of visitors up to 90%. A strategy is needed to increase museum visits and enable educational and tourism roles in a pandemic situation. This paper evaluates the machine learning model for… Read full abstract & cite →

Machine learning recommender system museum exhibition virtual tour pandemic

Abstract doi.org/10.14569/IJACSA.2022.0130448 PDF

49

Classification of Osteoporosis in the Lumbar Vertebrae using L2 Regularized Neural Network based on PHOG Features

Author 1: Kavita Avinash Patil Author 2: K. V. Mahendra Prashanth Author 3: A Ramalingaiah

One of the most common bone diseases in humans is osteoporosis, which is a major concern for the public health. Osteoporosis can be prevented if it is detected at an early stage. The research agenda consists of two phases: pre-processing of X-ray images of the spine and analysis of texture… Read full abstract & cite →

Cross validation image enhancement lumbar spine lumbar vertebrae neural network osteoporosis PHOG regularization trabecular bone texture features x-ray images

Abstract doi.org/10.14569/IJACSA.2022.0130449 PDF

50

Deep Learning Approach for Spoken Digit Recognition in Gujarati Language

Author 1: Jinal H. Tailor Author 2: Rajnish Rakholia Author 3: Jatinderkumar R. Saini Author 4: Ketan Kotecha

Speech Recognition is an emerging field in the area of Natural Language Processing which provides ease for human machine interaction with speech. Speech recognition for digits is useful for numbers oriented communication such as mobile number, scores, account number, registration code, social security code etc. This research paper seeks to… Read full abstract & cite →

CNN Deep learning digit Gujarati speech recognition

Abstract doi.org/10.14569/IJACSA.2022.0130450 PDF

51

Tweet Credibility Detection for COVID-19 Tweets using Text and User Content Features

Author 1: Vaishali Vaibhav Hirlekar Author 2: Arun Kumar

The deadly COVID-19 pandemic is currently sweeping the globe, and millions of people have been exposed to false information about the disease, its remedies, prevention, and origins. During such perilous times, the propagation of fake news and misinformation can have serious implications, causing widespread panic and exacerbating the pandemic's threat… Read full abstract & cite →

Fake news machine learning natural language processing deep learning

Abstract doi.org/10.14569/IJACSA.2022.0130451 PDF

52

Integration of Ensemble Variant CNN with Architecture Modified LSTM for Distracted Driver Detection

Author 1: Zakaria Boucetta Author 2: Abdelaziz El Fazziki Author 3: Mohamed El Adnani

Driver decisions and behaviors are the major factors in on-road driving safety. Most significantly, traffic injuries and accidents are reduced using the accurate driver behavior monitoring system. However, the challenges occur in understanding human behaviors in the practical environment due to uncontrolled scenarios like cluttered and dynamic backgrounds, occlusion, and… Read full abstract & cite →

Distracted driver detection ensemble variant convolutional neural network hybrid squirrel whale optimization algorithm local gradient pattern local weber pattern optimal fusion-based pattern descriptors long short term memory

Abstract doi.org/10.14569/IJACSA.2022.0130452 PDF

53

A Review of the Integration of Cyber-Physical System and Internet of Things

Author 1: Ramesh Sneka Nandhini Author 2: Ramanathan Lakshmanan

Cyber-physical system has a bigger impact on the present and future of the engineered systems. The integration of cyber-physical system with other technologies often poses challenges that are unique in the fields of design, implementation, and applications. This study explores the definitions of the integrated cyber-physical system from different perceptions… Read full abstract & cite →

Cyber-physical system internet of things industrial internet (ii) industry 4.0

Abstract doi.org/10.14569/IJACSA.2022.0130453 PDF

54

Is Deep Learning on Tabular Data Enough? An Assessment

Author 1: Sheikh Amir Fayaz Author 2: Majid Zaman Author 3: Sameer Kaul Author 4: Muheet Ahmed Butt

It is critical to select the model that best fits the situation while analyzing the data. Many scholars on classification and regression issues have offered ensemble techniques on tabular data, as well as other approaches to classification and regression problems (Like Boosting and Logistic Model tree ensembles). Furthermore, various deep… Read full abstract & cite →

Deep learning XGBoost NODE TabNet DNF-net statistical significance test tabular geographical data

Abstract doi.org/10.14569/IJACSA.2022.0130454 PDF

55

Smart Home Automation by Internet-of-Things Edge Computing Platform

Author 1: Zubair Sharif Author 2: Low Tang Jung Author 3: Muhammad Ayaz Author 4: Mazlaini Yahya Author 5: Dodo Khan

Internet of Things (IoTs) offer significant benefits to various applications, including homes automation (HA), environmental monitoring, healthcare, homeland security, agriculture, and many others. Consequently, the trend of IoTs is rapidly evolving in many new sectors leading to higher comfort, better quality of life, and conveniences that can offer optimum consumption… Read full abstract & cite →

Smart home Internet of Things (IoTs) home automation android application raspberry pi edge computing

Abstract doi.org/10.14569/IJACSA.2022.0130455 PDF

56

An Integrated Approach to Research Paper and Expertise Recommendation in Academic Research

Author 1: Charles N. Mabude Author 2: Iyabo O. Awoyelu Author 3: Bodunde O. Akinyemi Author 4: Ganiyu A. Aderounmu

Research papers and expertise recommendation systems have been operating independently of one another, resulting in avoidable search queries and unsatisfactory recommendations. This study developed an integrated recommendation system to harmonize research papers and expertise recommendations in the academic domain for enhanced research collaboration. It aims to address issues related to… Read full abstract & cite →

Research paper expertise recommendation systems academic

Abstract doi.org/10.14569/IJACSA.2022.0130456 PDF

57

Organizational Architecture and Service Delivery Re-Alignment based on ITIL and TOGAF: Case Study of the Provincial Development Bank

Author 1: Asti Amalia Nur Fajrillah Author 2: Muharman Lubis Author 3: Irmayanti Syam

The operations function area is the core function areas of the development bank to serve its customer related to the financial needs. Interestingly, the total scope of services provided in this case can be categorized as small or not optimal compared to the total population of its coverage area in… Read full abstract & cite →

Organization service innovation alignment ITIL TOGAF alignment

Abstract doi.org/10.14569/IJACSA.2022.0130457 PDF

58

A Lasso-based Collaborative Filtering Recommendation Model

Author 1: Hiep Xuan Huynh Author 2: Vien Quang Dam Author 3: Long Van Nguyen Author 4: Nghia Quoc Phan

This paper proposes a new approach to solve the problem of lack of information in rating data due to new users or new items, or there is too little rating data of the user for items of the collaborative filtering recommendation models (CFR models). In this approach, we consider the… Read full abstract & cite →

UBCF-LASSO IBCF-LASSO Lasso regression

Abstract doi.org/10.14569/IJACSA.2022.0130458 PDF

59

Face Age Estimation using Shortcut Identity Connection of Convolutional Neural Network

Author 1: Shohel Pramanik Author 2: Hadi Affendy Bin Dahlan

Depletion of skin and muscle tone has a considerable impact on the appearance of the face, which is constantly evolving. Algorithms necessitate a large number of aging faces for this purpose. Another popular deep learning technique is convolutional neural networks. In a recent study, many computer vision and pattern recognition… Read full abstract & cite →

Shortcut identity connection ImageNet residual connection face aging

Abstract doi.org/10.14569/IJACSA.2022.0130459 PDF

60

Framework to Deploy Containers using Kubernetes and CI/CD Pipeline

Author 1: Manish Kumar Abhishek Author 2: D. Rajeswara Rao Author 3: K. Subrahmanyam

Containers are continuously replacing the usage of virtual machines and gaining popularity in terms of scalability and agility in IT Industry. The key concept behind containers is Operating system based virtualization. In cloud, computing containers are getting deployed in terms of computing instances whereas in premises they are getting deployed… Read full abstract & cite →

Containers Docker Jenkin Kubernetes rancher virtualization

Abstract doi.org/10.14569/IJACSA.2022.0130460 PDF

61

Adaptive Generation-based Approaches of Oversampling using Different Sets of Base and Nearest Neighbor’s Instances

Author 1: Hatem S Y Nabus Author 2: Aida Ali Author 3: Shafaatunnur Hassan Author 4: Siti Mariyam Shamsuddin Author 5: Ismail B Mustapha Author 6: Faisal Saeed

Standard classification algorithms often face a challenge of learning from imbalanced datasets. While several approaches have been employed in addressing this problem, methods that involve oversampling of minority samples remain more widely used in comparison to algorithmic modifications. Most variants of oversampling are derived from Synthetic Minority Oversampling Technique (SMOTE)… Read full abstract & cite →

Class imbalance nearest neighbors base samples initial selection SMOTE

Abstract doi.org/10.14569/IJACSA.2022.0130461 PDF

62

Social Group Optimization-based New Routing Approach for WMN’s

Author 1: Bhanu Sharma Author 2: Amar Singh

Wireless Mesh Networks (WMNs) are hop-to-hop communication networks that are quickly deployable, dynamically self-organizing, self-configuring, self-healing, self-balancing, and self-aware. In WMNs, a node can leave or join the network at any time. Due to the mobile nature of nodes, the routes between source and destination can change frequently. Computing the… Read full abstract & cite →

ACO AODV DSR BAT BBO wireless mesh network social group optimization

Abstract doi.org/10.14569/IJACSA.2022.0130462 PDF

63

A New Combination Approach to CPU Scheduling based on Priority and Round-Robin Algorithms for Assigning a Priority to a Process and Eliminating Starvation

Author 1: Hussain Mohammad Abu-Dalbouh

The main purpose of an operating system is to control a group of processes, through a method known as CPU scheduling. The performance and efficiency of multitasking operating systems are determined by the use of a CPU scheduling algorithm. Round-robin scheduling is the best solution for time-shared systems, but it… Read full abstract & cite →

Average turnaround time average waiting time utilization performance measures operating system process

Abstract doi.org/10.14569/IJACSA.2022.0130463 PDF

64

Balancing a Practical Inverted Pendulum Model Employing Novel Meta-Heuristic Optimization-based Fuzzy Logic Controllers

Author 1: Dao-Thi Mai-Phuong Author 2: Pham Van-Hung Author 3: Nguyen Ngoc-Khoat Author 4: Pham Van-Minh

This paper concentrates on proposing a newly effective control approach to ensure the balance of an inverted pendulum (IP) system consisting of a free-rotational rod and a small cart. The novel idea is to create an effective integration between a PD-like fuzzy logic architecture and a modified genetic algorithm (mGA)… Read full abstract & cite →

mGA inverted pendulum (IP) balance control scaling factors optimization

Abstract doi.org/10.14569/IJACSA.2022.0130464 PDF

65

Application of Affective Computing in the Analysis of Advertising Jingles in the Political Context

Author 1: Gabriel Elias Chanchi Golondrino Author 2: Manuel Alejandro Ospina Alarcon Author 3: Luz Marina Sierra Martínez

Affective computing is an emerging research area focused on the development of systems with the ability to recognize, process and simulate human emotions in order to improve a user’s experience in an interactive system. One of the possible fields of application of affective computing is marketing and advertising, where the… Read full abstract & cite →

Affective computing advertising jingles emotion analysis arousal valence

Abstract doi.org/10.14569/IJACSA.2022.0130465 PDF

66

An Intelligent Approach based on the Combination of the Discrete Wavelet Transform, Delta Delta MFCC for Parkinson's Disease Diagnosis

Author 1: BOUALOULOU Nouhaila Author 2: BELHOUSSINE DRISSI Taoufiq Author 3: NSIRI Benayad

To diagnose Parkinson’s disease (PD), it is necessary to monitor the progression of symptoms. Unfortunately, diagnosis is often confirmed years after the onset of the disease. Communication problems are often the first symptoms that appear earlier in people with Parkinson’s disease. In this study, we focus on the signal of… Read full abstract & cite →

Parkinson’s disease discrete wavelet transform delta delta MFCC decision tree classifier

Abstract doi.org/10.14569/IJACSA.2022.0130466 PDF

67

Efficient Intrusion Detection System for IoT Environment

Author 1: Rehab Hosny Mohamed Author 2: Faried Ali Mosa Author 3: Rowayda A. Sadek

These days, the Internet is subjected to a variety of attacks that can harm network devices or allow attackers to steal the most sensitive data from these devices. IoT environment provides new perspective and requirements for Intrusion detection due to its heterogeneity. This paper proposes a newly developed Intrusion Detection… Read full abstract & cite →

Intrusion detection systems (IDSs) TON IoT dataset machine learning deep learning ReliefF

Abstract doi.org/10.14569/IJACSA.2022.0130467 PDF

68

Augmented System for Food Crops Production in Agricultural Supply Chain using Blockchain Technology

Author 1: Dayana D. S Author 2: Kalpana G

The elevated version of the Agricultural Traceability System dealing with food production holds utmost significance in not only assuring food insecure, smart contracts and agri-insurance to farmers but also guaranteeing insurance to them during natural disaster. The proposed and improved system for food cultivation traceability deals with agri-crops and farmers… Read full abstract & cite →

Blockchain distributed ledger consensus decentralized stakeholders agricultural insurance payouts trust-based farming system food safety panel of advisers agri-supply chain

Abstract doi.org/10.14569/IJACSA.2022.0130468 PDF

69

A Comprehensive Analysis of Blockchain-based Cryptocurrency Mining Impact on Energy Consumption

Author 1: Md Rafiqul Islam Author 2: Muhammad Mahbubur Rashid Author 3: Mohammed Ataur Rahman Author 4: Muslim Har Sani Bin Mohamad Author 5: Abd Halim Bin Embong

Blockchain already has gained popularity due to its highly secured network and same time enormous computational power consumption has become an undifferentiated debate among the users. A Blockchain network is reliable, secure, transparent, and immutable where the transactions cannot be reversed between sender and receiver. Blockchain technology is not only… Read full abstract & cite →

Blockchain cryptocurrency bitcoin Proof-of-Work (PoW) Proof-of-Stake (PoS)

Abstract doi.org/10.14569/IJACSA.2022.0130469 PDF

70

Bridge Pillar Defect Detection using Close Range Thermography Imagery

Author 1: Abd Wahid Rasib Author 2: Muhammad Latifi Mohd Yaacob Author 3: Nurul Hawani Idris Author 4: Khairulazhar Zainuddin Author 5: Rozilawati Dollah Author 6: Norbazlan Mohd Yusof Author 7: Norisam Abd Rahaman Author 8: Shahrin Ahmad Author 9: Norhadi A. Hamid Author 10: Abdul Manaf Mhapo

Currently, radiometric thermography image has been explored adequately as alternative advance Non-Destructive Testing (NDT) especially for early detection analysis in various applications. Systematic image calibration, higher spatial resolution and high degree order image processing, thermography imagery potential to be used in concrete structure defect detection. Therefore, this study is carried… Read full abstract & cite →

Defect detection bridge pillar drone thermography close range remote sensing

Abstract doi.org/10.14569/IJACSA.2022.0130470 PDF

71

Learning Effectivess of Virtual Land Surveying Simulator for Blended Open Distance Learning Amid Covid-19 Pandemic

Author 1: Yeap Chu Im Author 2: Muhammad Norhadri Bin Mohd Hilmi Author 3: Tan Cheng Peng Author 4: Azrina Jamal Author 5: Noor Halizah binti Abdullah Author 6: Suzi Iryanti Fadilah

Many universities worldwide were forced to physically close campuses due to lockdown and resumed the in-person classes compliant with a stringent set of standards of procedures (SOPs) as Covid cases drop. This has profoundly disrupted the hands-on lab face-to-face learning process that is harder to be moved online. Virtual simulation… Read full abstract & cite →

Covid-19 3D simulator virtual laboratory land surveying blended open distance learning

Abstract doi.org/10.14569/IJACSA.2022.0130471 PDF

72

Fusion of Statistical Reasoning for Healing Highly Corrupted Image

Author 1: Golam Moktader Daiyan Author 2: Leiting Chen Author 3: Chuan Zho Author 4: Golam Moktader Nayeem

The accurate approximation of pixel value for preserving image details at a high concentration of noise has led the researchers to improve filters performance. A few image restoration filters are effective at lower density noise. Filters are commonly deployed for cameras, image processing tasks, medical image analysis, guided media data… Read full abstract & cite →

Salt and pepper noise median filter statistical reasoning performance analysis matrices high-density noise mood trimmed median trimmed mean peak signal-to-noise ratio image enhancement factor structural similarity index

Abstract doi.org/10.14569/IJACSA.2022.0130472 PDF

73

Framework of Infotainment using Predictive Scheme for Traffic Management in Internet-of-Vehicle

Author 1: Reshma S Author 2: Chetanaprakash

Infotainment system potentially contributes towards controlling accident fatalities in the era of Internet-of-Vehicles (IoV). Review of existing system is carried out to find that irrespective of various methods towards infotainment system, the quality of data being retrieved as well as issues associated with power and traffic congestion in vehicular communication… Read full abstract & cite →

Infotainment system internet-of-vehicle reinforcement learning decision making power long short term memory

Abstract doi.org/10.14569/IJACSA.2022.0130473 PDF

74

Internet of Things (IoT) Application for Management in Automotive Parts Manufacturing

Author 1: Apiwat Krommuang Author 2: Opal Suwunnamek

Automotive parts manufacturing focuses on sustainable development manufacturing capabilities with future technology changes. Internet of Things (IoT) plays an important role in applying internet technology to machines and equipment in manufacturing processes for transformation towards Industry 4.0 as well as creating values added and higher competitive advantage for the sustainability… Read full abstract & cite →

Internet of things auto parts industry FANP MCDM sustainable manufacturing

Abstract doi.org/10.14569/IJACSA.2022.0130474 PDF

75

Investigation of Hybrid Feature Selection Techniques for Autism Classification using EEG Signals

Author 1: S. Thirumal Author 2: J. Thangakumar

Autism Spectrum Disorder (ASD), the non-uniform neurodevelopment condition that is characterized by the impairment of behaviour in communication and social interaction with some restricted their repetitive behaviour. Today, to measure the voltage created during brain activity is measured using electroencephalography (EEG). The wavelet transform is used for decomposing the time-frequency… Read full abstract & cite →

Autism spectrum disorder (ASD) electroencephalo graphy (EEG) feature selection River Formation Dynamics (RFD) Support Vector Machine (SVM) hybrid greedy RFD

Abstract doi.org/10.14569/IJACSA.2022.0130475 PDF

76

An Optimized Hybrid Fuzzy Weighted k-Nearest Neighbor with the Presence of Data Imbalance

Author 1: Soha A. Bahanshal Author 2: Rebhi S. Baraka Author 3: Bayong Kim Author 4: Vaibhav Verdhan

We present an optimized hybrid fuzzy Weighted k-Nearest Neighbor classification model in the presence of imbalanced data. More attention is placed on data points in the boundary area between two classes. Finding greater results in the general classification of imbalanced data for both the minority and the majority classes. The… Read full abstract & cite →

Imbalanced data fuzzy weighted kNN SMOTE classification model optimized hybrid kNN

Abstract doi.org/10.14569/IJACSA.2022.0130476 PDF

77

SPKP: A Web-based Application System for Managing Mental Health in Higher Institution

Author 1: Mohamad Fadli Zolkipli Author 2: Zahidah Mohamad Said Author 3: Massudi Mahmuddin

Client psychology profile is one of the methods used by UUM’s Counselling Centre to analyze client psychological health conditions. This psychological profile is in a physical form which means the questions that need to be answered are on the paper. This psychology profile consists of three types of psychological modules… Read full abstract & cite →

Psychology tests psychology health counselling counselor

Abstract doi.org/10.14569/IJACSA.2022.0130477 PDF

78

Breast Cancer Classification using Decision Tree Algorithms

Author 1: Omar Tarawneh Author 2: Mohammed Otair Author 3: Moath Husni Author 4: Hayfa.Y. Abuaddous Author 5: Monther Tarawneh Author 6: Malek A Almomani

Cancer is a major health issue that affects individuals all over the world. This disease has claimed the lives of many people, and will continue to do so in the future. Breast cancer has recently surpassed cervical cancer as the most frequent cancer among women in both industrialized and developing… Read full abstract & cite →

Data mining decision tree classifier breast cancer

Abstract doi.org/10.14569/IJACSA.2022.0130478 PDF

79

Development and Validation of e-Books during the Post-Pandemic to Improve Attitude towards Environmental Care in Case of Indonesia

Author 1: Anggraeni Mashinta Sulistyani Author 2: Zuhdan Kun Prasetyo Author 3: Farida Hanum Author 4: Rizki Noor Prasetyono

Indonesia has natural diversity in the form of tropical rain forests, the sea, flora, and fauna. Information technology adaptation is needed considering its development and use is getting higher, especially during the pandemic and post-pandemic periods. Through information technology in the form of E-books based on local wisdom, an attitude… Read full abstract & cite →

e-Book Google site green science learning model local wisdom environmental care character

Abstract doi.org/10.14569/IJACSA.2022.0130479 PDF

80

A Two-Stage Assessment Approach for QoS in Internet of Things based on Fuzzy Logic

Author 1: Mutasim Elsadig Adam Author 2: Yasir Abdalgadir Ahmed Hamid

In the sphere of IoT, one of the most significant issues is quality of service (QoS), which is critical for both developers and customers. As a result, IoT platform developers are working to enhance models that will meet consumer expectations in terms of IoT services meeting their expected specified levels… Read full abstract & cite →

IoT internet of things QoS quality of services fuzzy logic evaluate assess

Abstract doi.org/10.14569/IJACSA.2022.0130480 PDF

81

Design and Usability Study of Hypertension Management Guideline Mobile Application with Hypertension and Non-hypertension Patients

Author 1: Nor Azman Ismail Author 2: Nor Atiqah Mohd Fuaad Author 3: Muhammad Syahmi Zulkifli Author 4: Farhat Embarak Author 5: Nur Zuhairah Afiqah Husni Author 6: Su Elya Mohamed Author 7: Puteri Syaza Kamarina Megat Mohd Zainon

Hypertension is currently rising steadily among the world population. The first level of screening to know whether one is suffering from hypertension is essential as this lays the foundation for the actual diagnosis. This research details the user interface design and usability evaluation of the hypertension management guideline. The proposed… Read full abstract & cite →

Hypertension management guideline hypertension patient hypertension symptoms user interface user experience

Abstract doi.org/10.14569/IJACSA.2022.0130481 PDF

82

A CNN based Approach for Handwritten Character Identification of Telugu Guninthalu using Various Optimizers

Author 1: B. Soujanya Author 2: Suresh Chittineni Author 3: T. Sitamahalakshmi Author 4: G. Srinivas

Handwritten character recognition is the most critical and challenging area of research in image processing. A computer's ability to detect handwriting input from various original sources, such as paper documents, images, touch screens, and other online and offline devices, may be classified as this recognition. Identifying handwriting in Indian languages… Read full abstract & cite →

Character recognition Adam RMSProp SGD CNN

Abstract doi.org/10.14569/IJACSA.2022.0130482 PDF

83

Information Security Enhancement by Increasing Randomness of Stream Ciphers in GSM

Author 1: Ram Prakash Prajapat Author 2: Rajesh Bhadada Author 3: Arjun Choudhary

Information security is a crucial issue and needs to be addressed efficiently. Encryption of the original information is used to ensure privacy during exchange of information. In GSM (Global System for Mobile) standard, once the voice traffic initiates after signaling, encryption comes into the picture to ensure privacy during the… Read full abstract & cite →

Security encryption A5/1 stream cipher randomness NIST test suite

Abstract doi.org/10.14569/IJACSA.2022.0130483 PDF

84

Plant Disease Detection using AI based VGG-16 Model

Author 1: Anwar Abdullah Alatawi Author 2: Shahd Maadi Alomani Author 3: Najd Ibrahim Alhawiti Author 4: Muhammad Ayaz

Agriculture and modern farming is one of the fields where IoT and automation can have a great impact. Maintaining healthy plants and monitoring their environment in order to identify or detect diseases is essential in order to maintain a maximum crop yield. The implementation of current high rocketing technologies including… Read full abstract & cite →

Machine learning VGG-16 disease detection convolutional networks Plant Village modern farming

Abstract doi.org/10.14569/IJACSA.2022.0130484 PDF

85

Analysis of Factors Influencing the COVID-19 Mortality Rate in Indonesia using Zero Inflated Negative Binomial Model

Author 1: Maria Susan Anggreainy Author 2: Abdullah M. Illyasu Author 3: Hanif Musyaffa Author 4: Florence Helena Kansil

This research aims to create a model, analyze the factors that influence the COVID-19 mortality rate in Indonesia. There are five independent variables and one dependent variable used in the research. The independent variables used are the percentage of poor people, the percentage of households using shared toilet facilities, the… Read full abstract & cite →

Mortality rate overdispersion zero-inflated negative binomial Poisson regression correlation

Abstract doi.org/10.14569/IJACSA.2022.0130485 PDF

86

Automatic Healthy Sperm Head Detection using Deep Learning

Author 1: Ahmad Abdelaziz Mashaal Author 2: Mohamed A. A. Eldosoky Author 3: Lamia Nabil Mahdy Author 4: Kadry Ali Ezzat

Infertility is one of the diseases in which researchers are interested. Infertility disease is a global health concern, and andrologists are constantly looking for more advanced solutions for this disease. The intracytoplasmic sperm injection (ICSI) process is considered as one of the most common procedures for achieving fertilization. Sperm selection… Read full abstract & cite →

Infertility sperm morphology deep learning human sperm head healthy sperms

Abstract doi.org/10.14569/IJACSA.2022.0130486 PDF

87

RTL Design and Testing Methodology for UHF RFID Passive Tag Baseband-Processor

Author 1: Syifaul Fuada Author 2: Aris Agung Pribadi Author 3: Trio Adiono Author 4: Tengku Ahmad Madya

With the rapid growth and widespread implementation of Internet-of-Things (IoT) technology, Radio Frequency Identification (RFID) has become a vital supporting technology to enable it. Various researchers have studied the design of digital or analog blocks for RFID readers. However, most of these works did not provide a comprehensive design methodology… Read full abstract & cite →

UHF RFID passive tag baseband processor register transfer level universal verification methodology Internet-of-things enabler FPGA

Abstract doi.org/10.14569/IJACSA.2022.0130487 PDF

88

IAGA: Interference Aware Genetic Algorithm based VM Allocation Policy for Cloud Systems

Author 1: Tarannum Alimahmad Bloch Author 2: Sridaran Rajagopal Author 3: Prashanth C. Ranga

Diversified systems hosted on cloud infrastructure have to work increasingly on physical servers. Cloud applications running on physical machines require diverse resources. The resource requirements of cloud applications are fluctuating based on the resource intensity of the applications. The multi-tenancy of Cloud servers can be achieved based on effective resource… Read full abstract & cite →

Cloud computing interference VM allocation SLA violation resource utilization

Abstract doi.org/10.14569/IJACSA.2022.0130488 PDF

89

A Hybrid Deep Learning Approach for Freezing of Gait Prediction in Patients with Parkinson's Disease

Author 1: Hadeer El-ziaat Author 2: Nashwa El-Bendary Author 3: Ramadan Moawad

The main objective of this work is to enhance the prediction of the Freezing of Gait (FoG) episodes for patients with Parkinson's Disease (PD). Thus, this paper proposes a hybrid deep learning approach that considers FoG prediction as an unsupervised multiclass classification problem with 3 classes: namely, normal walking, pre-FoG… Read full abstract & cite →

Freezing of Gait (FoG) Parkinson's disease (PD) angular axes features spectrogram convolutional neural network (CNN) long short-term memory (LSTM)

Abstract doi.org/10.14569/IJACSA.2022.0130489 PDF

90

Emotions Classification from Speech with Deep Learning

Author 1: Andry Chowanda Author 2: Yohan Muliono

Emotions are the essential parts that convey mean-ing to the interlocutors during social interactions. Hence, recog-nising emotions is paramount in building a good and natural affective system that can naturally interact with the human interlocutors. However, recognising emotions from social inter-actions require temporal information in order to classify the emotions… Read full abstract & cite →

Emotions recognition speech modality temporal information affective system

Abstract doi.org/10.14569/IJACSA.2022.0130490 PDF

91

A Comprehensive Overview on Biometric Authentication Systems using Artificial Intelligence Techniques

Author 1: Shoroog Albalawi Author 2: Lama Alshahrani Author 3: Nouf Albalawi Author 4: Reem Kilabi Author 5: Aaeshah Alhakamy

Biometric authentication is becoming more preva-lent as it allows consumers to authenticate themselves without entering a physical address or a personal identification number. Thus, a simple finger gesture or a glance at a camera can still prove one’s identity. In this review, we explain in detail how the concept of… Read full abstract & cite →

Biometric authentication physiological traits be-havioral traits facial recognition iris recognition voice recogni-tion signature

Abstract doi.org/10.14569/IJACSA.2022.0130491 PDF

92

Protecting User Preference in Ranked Queries

Author 1: Rong Tang Author 2: Xinyu Yu

Protecting data privacy is of extremely importance for users who outsource their data to a third-party in cloud computing. Although there exist plenty of research work on data privacy protection, the problem of protecting user’s preference information has received less attention. In this paper, we consider the problem of how… Read full abstract & cite →

Preference privacy distortion homomorphic encryption

Abstract doi.org/10.14569/IJACSA.2022.0130492 PDF

93

Towards Security Awareness of Mobile Applications using Semantic-based Sentiment Analysis

Author 1: Ahmed Alzhrani Author 2: Abdulmjeed Alatawi Author 3: Bandar Alsharari Author 4: Umar Albalawi Author 5: Mohammed Mustafa

With the rapid increase of smartphones and the growing interest in their applications, e.g., Google Play Apps, it becomes necessary to analyze users’ reviews whether they are expressed as ratings or comments. This is because recent studies reported that users’ reviews could provide us with useful clues and valuable features… Read full abstract & cite →

Security awareness semantic analysis sentiment analysis mobile applications topic modelling clustering

Abstract doi.org/10.14569/IJACSA.2022.0130493 PDF

94

Deep Multi View Spatio Temporal Spectral Feature Embedding on Skeletal Sign Language Videos for Recognition

Author 1: SK. Ashraf Ali Author 2: M. V. D. Prasad Author 3: P. Praveen Kumar Author 4: P. V. V. Kishore

To build a competitive global view from multiple views which will represent all the views within a class label is the primary objective of this work. The first phase involves the extraction of spatio temporal features from videos of skeletal sign language using a 3D convolutional neural network. In phase… Read full abstract & cite →

Laplacian eigenmaps 3D convolutional networks sign language recognition multi view skeletal data

Abstract doi.org/10.14569/IJACSA.2022.0130494 PDF

95

Human Activity Recognition in Car Workshop

Author 1: Omar Magdy Author 2: Ayman Atia

Human activity recognition has become so widespread in recent times. Due to the modern advancements of technology, it has become an important solution to many prob-lems in various fields such as medicine, industry, and sports. And this subject got the attention of a lot of researchers. Along with problems like… Read full abstract & cite →

Machine learning human activity recognition pose identification industry analysis

Abstract doi.org/10.14569/IJACSA.2022.0130495 PDF

96

BMP: Toward a Broker-less and Microservice Platform for Internet of Thing

Author 1: Lam Nguyen Tran Thanh Author 2: Khoi Le Quoc Author 3: The Anh Nguyen Author 4: Huong Hoang Luong Author 5: Hong Khanh Vo Author 6: Tuan Dao Anh Author 7: Hy Nguyen Vuong Khang Author 8: Khoi Nguyen Huynh Tuan Author 9: Hieu Le Van Author 10: Nghia Huynh Huu Author 11: Khoa Tran Dang Author 12: Khiem Huynh Gia

The Internet of Things (IoT), currently, is one of the most interesting technology trends. IoT is the foundation and driving force for the development of other scientific fields based on its ability to connect things and the huge amount of data it collects. The IoT Platform is considered the backbone… Read full abstract & cite →

Internet of Things (IoT) gRPC Single Sign-On Broker-Less Kafka Microservice Role-based Access Control (RBAC)

Abstract doi.org/10.14569/IJACSA.2022.0130496 PDF

97

CNN-LSTM Based Approach for Dos Attacks Detection in Wireless Sensor Networks

Author 1: Salim Salmi Author 2: Lahcen Oughdir

A denial-of-service (DoS) attack is a coordinated attack by many endpoints, such as computers or networks. These attacks are often performed by a botnet, a network of malware-infected computers controlled by an attacker. The endpoints are instructed to send traffic to a particular target, overwhelming it and preventing legitimate users… Read full abstract & cite →

Denial of Service (DoS) Wireless Sensor Networks (WSN) Convolutional Neural Network (CNN) Long Short-Term Memory (LSTM)

Abstract doi.org/10.14569/IJACSA.2022.0130497 PDF

101

An Enhanced Predictive Approach for Students’ Performance

Author 1: Mohamed Farouk Yacoub Author 2: Huda Amin Maghawry Author 3: Nivin A Helal Author 4: Sebastian Ventura Author 5: Tarek F. Gharib

Applying data mining for improving the outcomes of the educational process has become one of the most significant areas of research. The most important corner stone in the educational process is students’ performance. Therefore, early prediction of students’ performance aims to assist at-risk students by providing appropriate and early support… Read full abstract & cite →

Educational data mining students’ performance classification feature selection machine learning

Abstract doi.org/10.14569/IJACSA.2022.01304101 PDF

102

A Comparative Performance of Optimizers and Tuning of Neural Networks for Spoof Detection Framework

Author 1: Ankita Chadha Author 2: Azween Abdullah Author 3: Lorita Angeline

The breakthroughs in securing speaker verification systems have been challenging and yet are explored by many researchers over the past five years. The compromise in security of these systems is due to naturally sounding synthetic speech and handiness of the recording devices. For developing a spoof detection system, the back-end… Read full abstract & cite →

Spoof detection speech synthesis voice conversion convolutional neural networks optimizers gradient descent algo-rithm spoofed speech automatic speaker verification

Abstract doi.org/10.14569/IJACSA.2022.01304102 PDF

103

Hybrid Deep Learning Approach for Sentiment Classification of Malayalam Tweets

Author 1: Soumya S Author 2: Pramod K V

Social media content in regional languages is ex-panding from day to day. People use different social media platforms to express their suggestions and thoughts in their native languages. Sentiment Analysis (SA) is the known procedure for identifying the hidden sentiment present in the sentences for categorizing it as positive, negative… Read full abstract & cite →

Bi-LSTM CNN NLP Malayalam Twitter

Abstract doi.org/10.14569/IJACSA.2022.01304103 PDF

104

IoDEP: Towards an IoT-Data Analysis and Event Processing Architecture for Business Process Incident Management

Author 1: Abir Ismaili-Alaoui Author 2: Karim Baina Author 3: Khalid Benali

IoT is becoming a hot spot area of technological innovations and economic development promises for many in-dustries and services. This new paradigm shift affects all the enterprise architecture layers from infrastructure to business. Business Process Management (BPM) is a field among others that is affected by this new technology. To… Read full abstract & cite →

Business process management internet of things machine learning complex event processing data analytics

Abstract doi.org/10.14569/IJACSA.2022.01304104 PDF

105

Route Planning using Wireless Sensor Network for Garbage Collection in COVID-19 Pandemic

Author 1: Javier E. Ramirez Author 2: Caleb M. Santiago Author 3: Angelica Kamiyama

Garbage collection is a responsibility faced by all cities and, if not properly carried out, can generate greater costs or sanitary problems. Considering the sanitary situation due to the COVID-19 pandemic, it is necessary to take sanitary safety measures to prevent its spread. The challenge of the present work is… Read full abstract & cite →

K-Means ant colony optimization route planning vehicle routing problem garbage collection wireless sensor network

Abstract doi.org/10.14569/IJACSA.2022.01304105 PDF

106

Empirical Analysis of Learning-based Malware Detection Methods using Image Visualization

Author 1: Abdullah Sheneamer Author 2: Essa Alhazmi Author 3: James Henrydoss

Malware, a short name for malicious software is an emerging cyber threat. Various researchers have proposed ways to build advanced malware detectors that can mitigate threat actors and enable effective cybersecurity decisions in the past. Recent research implements malware detectors based on visualized images of malware executable files. In this… Read full abstract & cite →

Malware detection malware analysis deep learning machine learning malware features

Abstract doi.org/10.14569/IJACSA.2022.01304106 PDF

107

Eye-movement Analysis and Prediction using Deep Learning Techniques and Kalman Filter

Author 1: Sameer Rafee Author 2: Xu Yun Author 3: Zhang Jian Xin Author 4: Zaid Yemeni

Eye movement analysis has gained significant atten-tion from the eye-tracking research community, particularly for real-time applications. Eye movement prediction is predominantly required for the improvement of sensor lag. The previously introduced eye-movement approaches focused on classifying eye movements into two categories: saccades and non-saccades. Al-though these approaches are practical and… Read full abstract & cite →

Eye Movement Classification Eye Movement Prediction Convolutional Neural Network (CNN) Recurrent Neural Network (RNN)

Abstract doi.org/10.14569/IJACSA.2022.01304107 PDF

108

Independent Channel Residual Convolutional Network for Gunshot Detection

Author 1: Jakub Bajzik Author 2: Jiri Prinosil Author 3: Roman Jarina Author 4: Jiri Mekyska

The main purpose of this work is to propose a robust approach for dangerous sound events detection (e.g. gunshots) to improve recent surveillance systems. Despite the fact that the detection and classification of different sound events has a long history in signal processing, the analysis of environmental sounds is still… Read full abstract & cite →

Acoustic signal processing gunshot detection systems audio signal analysis machine learning deep learning residual networks

Abstract doi.org/10.14569/IJACSA.2022.01304108 PDF

109

Improving Intrusion Detection for Imbalanced Network Traffic using Generative Deep Learning

Author 1: Amani A. Alqarni Author 2: El-Sayed M. El-Alfy

Network security has become a serious issue since networks are vulnerable and subject to increasing intrusive activities. Therefore, network intrusion detection systems (IDSs) are an essential component to defend against these activities. One of the biggest issues encountered by IDSs is the class imbalance problem which leads to a biased… Read full abstract & cite →

Intrusion detection machine learning imbalance learning conditional tabular generative adversarial networks

Abstract doi.org/10.14569/IJACSA.2022.01304109 PDF

110

A Machine Learning Model for the Diagnosis of Coffee Diseases

Author 1: Fredy Martinez Author 2: Holman Montiel Author 3: Fernando Martinez

The growing and marketing of coffee is an impor-tant source of economic resources for many countries, especially those with economies dependent on agricultural production, as is the case of Colombia. Although the country has done a lot of research to develop the sector, the truth is that most of its… Read full abstract & cite →

Cercospora Coffeicola convolutional neural network coffee leaf miner coffee leaf rust deep learning image processing phoma leaf spot

Abstract doi.org/10.14569/IJACSA.2022.01304110 PDF

111

Deep Learning-based Hybrid Model for Efficient Anomaly Detection

Author 1: Frances Osamor Author 2: Briana Wellman

It is common among security organizations to run processes system call trace data to predict its anomalous behavior, and it is still a dynamic study region. Learning-based algorithms can be employed to solve such problems since it is typical pattern recognition problem. With the advanced progress in operating systems, some… Read full abstract & cite →

Anomaly detection system call sequence convolution neural network long short term memory

Abstract doi.org/10.14569/IJACSA.2022.01304111 PDF

112

An Ensemble Deep Learning Approach for Emotion Detection in Arabic Tweets

Author 1: Alaa Mansy Author 2: Sherine Rady Author 3: Tarek Gharib

Now-a-days people use social media websites for different activities such as business, entertainment, following the news, expressing their thoughts, feelings, and much more. This initiated a great interest in analyzing and mining such user-generated content. In this paper, the problem of emotion detection (ED) in Arabic text is investigated by… Read full abstract & cite →

Deep learning emotion detection transformers RNNs Bi-LSTM Bi-GRU

Abstract doi.org/10.14569/IJACSA.2022.01304112 PDF

113

Chatbots for the Detection of Covid-19: A Systematic Review of the Literature

Author 1: Antony Albites-Tapia Author 2: Javier Gamboa-Cruzado Author 3: Junior Almeyda-Ortiz Author 4: Alberto Moreno Lázaro

At present, the development of chatbots is one of the key activities for the diagnosis of Covid-19. The aim is to understand how these chatbots operate in the health area to make a respective diagnosis. The purpose of the research is to determine the state of the art on the… Read full abstract & cite →

Covid-19 diagnosis chatbot NLP digital assistants health systematic review

Abstract doi.org/10.14569/IJACSA.2022.01304113 PDF

114

An Enhanced Genetic Algorithm (EGA)-based Multi-Hop Path for Energy Efficient in Wireless Sensor Network (WSN)

Author 1: Battina Srinuvasu Kumar Author 2: S. G. Santhi Author 3: S. Narayana

Wireless Sensor Networks (WSNs) encounter a number of issues in terms of performance. In WSN, the majority of the energy is utilized to transfer data from sensor nodes to a central station or hub (BS). There have therefore been many different types of routing protocols devised to help with the… Read full abstract & cite →

Cluster head energy efficient multi-hop path enhanced genetic algorithm wireless sensor network (WSN)

Abstract doi.org/10.14569/IJACSA.2022.01304114 PDF