IJACSA Vol. 12 Issue 9 (2021)

1

Information Flow Control for Serverless Systems

Author 1: Rishabh Chawla

Security for Serverless Systems is looked at from two perspectives, the server-level security managed by the infras-tructure company and the Application level Security managed by the tenants.The Trusted computing base for cloud systems is enormous as it encompasses all the functions running on a system. Authentication for systems is mostly… Read full abstract & cite →

Information flow control serverless systems lan-guage based security cloud computing

Abstract doi.org/10.14569/IJACSA.2021.0120901 PDF

2

Monitoring Indoor Activity of Daily Living using Thermal Imaging: A Case Study

Author 1: Hassan M. Ahmed Author 2: Bessam Abdulrazak

Monitoring indoor activities of daily living (ADLs) of a person is subjected to dependency on sensor type, power supply stability, and connectivity stability without mentioning artifacts introduced by the person himself. Multiple challenges have to be overcome in this field, such as; detecting the precise spatial location of the person… Read full abstract & cite →

Activity monitoring activities of daily living (ADLs) thermal imaging indoor monitoring thermal sensor array (TSA)

Abstract doi.org/10.14569/IJACSA.2021.0120902 PDF

3

Improving the Quality of e-Commerce Service by Implementing Combination Models with Step-by-Step, Bottom-Up Approach

Author 1: Hemn Barzan Abdalla Author 2: Ge Chengwei Author 3: Baha Ihnaini

e-Commerce, as a hot industry, plays an important role in people's lives. People visit e-commerce websites, check what they want, then click buy, and finally complete the transaction. The developments taking place at the level of electronic services at the global level and the intensification of competition and the increase… Read full abstract & cite →

E-commerce website framework criteria model approach service quality

Abstract doi.org/10.14569/IJACSA.2021.0120903 PDF

4

Facilitating Personalisation in Epilepsy with an IoT Approach

Author 1: S. A McHale Author 2: E. Pereira

The premises made in this paper put the future of personalisation in epilepsy into focus, a focus that shifts from a one-size fits all to a focus on the core of the epilepsy patients’ individual characteristics. The emerging approach of personalised healthcare is known to be facilitated by the Internet… Read full abstract & cite →

IoT healthcare systems smart healthcare personalisation

Abstract doi.org/10.14569/IJACSA.2021.0120904 PDF

5

EEG-based Brain Computer Interface Prosthetic Hand using Raspberry Pi 4

Author 1: Haider Abdullah Ali Author 2: Diana Popescu Author 3: Anton Hadar Author 4: Andrei Vasilateanu Author 5: Ramona Cristina Popa Author 6: Nicolae Goga Author 7: Hussam Al Deen Qhatan Hussam

Accidents, wars, or different diseases can affect upper limbs in such a manner so their amputation is required, with dramatic effects on people’s ability to perform tasks such as grabbing, holding objects, or moving them. In this context, it is necessary to develop solutions to support upper limb amputees to… Read full abstract & cite →

Prosthetic brain computer interface (BCI) electroencephalography (EEG) raspberry pi 4 EMOTIV

Abstract doi.org/10.14569/IJACSA.2021.0120905 PDF

6

A Facilitator Support System that Overlooks Keywords Expressing the True Intentions of All Discussion Participants

Author 1: Chika Oshima Author 2: Tatsuya Oyama Author 3: Chihiro Sasaki Author 4: Koichi Nakayama

This paper proposed the Keyword Movement Disclose System (KMDS), which allows a facilitator of discussion to watch a record of the moving keywords in a Discussion Board System (DBS). In the DBS, the discussion participants place each keyword in a box made for each item to be discussed. The keywords… Read full abstract & cite →

Keyword movement disclose system discussion board system facilitator putting keywords in box

Abstract doi.org/10.14569/IJACSA.2021.0120906 PDF

7

A New Flipped Learning Engagement Model to Teach Programming Course

Author 1: Ahmad Shaarizan Shaarani Author 2: Norasiken Bakar

Online learning education at higher learning institutions has changed over the years as technology evolves. The main purpose of this study was to propose a new Flipped Learning Engagement (FLE) model. User testing to measure students’ achievement was carried out in four separate groups namely Control Technology (CT) group, Experimental… Read full abstract & cite →

Flipped learning engagement model online programming course student achievement blended learning technical based higher learning institutions

Abstract doi.org/10.14569/IJACSA.2021.0120907 PDF

8

Classifying Familial Hypercholesterolaemia: A Tree-based Machine Learning Approach

Author 1: Marshima Mohd Rosli Author 2: Jafhate Edward Author 3: Marcella Onn Author 4: Yung-An Chua Author 5: Noor Alicezah Mohd Kasim Author 6: Hapizah Nawawi

Familial hypercholesterolaemia is the most common and serious form of inherited hyperlipidaemia. It has an autosomal dominant mode of inheritance, and is characterised by severely elevated low-density lipoprotein cholesterol levels. Familial hypercholesterolaemia is an important cause of premature coronary heart disease, but is potentially treatable. However, the majority of familial… Read full abstract & cite →

Familial hypercholesterolaemia predicting FH machine learning algorithms tree-based classifier

Abstract doi.org/10.14569/IJACSA.2021.0120908 PDF

9

Development of Star-Schema Model for Lecturer Performance in Research Activities

Author 1: M. Miftakul Amin Author 2: Adi Sutrisman Author 3: Yevi Dwitayanti

In this study, the researchers developed a multidimensional data model to investigate the activities of lecturers in universities in carrying out research activities as part of the Three Pillars of Higher Education. Information about lecturers' research activities has been managed using spreadsheet (excel) documents. Thus, access and analysis of the… Read full abstract & cite →

Data warehouse (DW) star-schema multidimensional data business intelligence (BI)

Abstract doi.org/10.14569/IJACSA.2021.0120909 PDF

10

Empirical Analysis of Feature Points Extraction Techniques for Space Applications

Author 1: Janhavi H. Borse Author 2: Dipti D. Patil

Recently, space research advancements have widened the scope of many vision-based techniques. Computer vision techniques with manifold objectives require that valuable features are extracted from input data. This paper attempts to analyze known feature extraction techniques empirically; Scale Invariant Feature Transform (SIFT), Speeded up robust features (SURF), Oriented fast and… Read full abstract & cite →

Artificial intelligence convolutional neural network computer vision feature extraction machine learning satellite images space research

Abstract doi.org/10.14569/IJACSA.2021.0120910 PDF

11

Traffic Adaptive Deep Learning based Fine Grained Vehicle Categorization in Cluttered Traffic Videos

Author 1: Shobha B. S Author 2: Deepu. R

Smart traffic management is being proposed for better management of traffic infrastructure and regulate traffic in smart cities. With surge of traffic density in many cities, smart traffic management becomes utmost necessity. Vehicle categorization, traffic density estimation and vehicle tracking are some of the important functionalities in smart traffic management… Read full abstract & cite →

Vehicle categorization deep learning traffic density estimation clutter

Abstract doi.org/10.14569/IJACSA.2021.0120911 PDF

12

Wide Area Measurement System in the IEEE-14 Bus System using Multiobjective Shortest Path Algorithm for Fault Analysis

Author 1: Lilik J. Awalin Author 2: Syahirah Abd Halim Author 3: Jafferi Bin Jamaludin Author 4: Nor Azuana Ramli

In a large-scale interconnected power system network, few challenges exist in evaluating and maintaining the overall system stability. The power system’s ability to supply all types of loads during natural disasters or faults has yet to be addressed. This work focuses on developing a wide-area measurement system to manage and… Read full abstract & cite →

IEEE-14 bus system wide area measurement multi-objective shortest path algorithm fault location PMU

Abstract doi.org/10.14569/IJACSA.2021.0120912 PDF

13

An Enhanced Feature Acquisition for Sentiment Analysis of English and Hausa Tweets

Author 1: Amina Imam Abubakar Author 2: Abubakar Roko Author 3: Aminu Muhammad Bui Author 4: Ibrahim Saidu

Due to the continuous and rapid growth of social media, opinionated contents are actively created by users in different languages about various products, services, events, and political parties. The automated classification of these contents prompted the need for multilingual sentiment analysis researches. However, the majority of research efforts are devoted… Read full abstract & cite →

Multilingual sentiment analysis sentiment analysis social media machine learning

Abstract doi.org/10.14569/IJACSA.2021.0120913 PDF

14

Development of Technology for Summarization of Kazakh Text

Author 1: Talgat Zhabayev Author 2: Ualsher Tukeyev

This paper presents the solution to the problem of summarizing Kazakh texts. The problem of Kazakh text summarization is considered as a sequence of two tasks: extracting the most important sentences of the text and simplifying the received sentences. The task of extracting the most important sentences of the text… Read full abstract & cite →

Summarization text simplification low-resource language seq2seq transfer learning

Abstract doi.org/10.14569/IJACSA.2021.0120914 PDF

15

An Energy-aware Facilitation Framework for Scalable Social Internet of Vehicles

Author 1: Abdulwahab Ali Almazroi Author 2: Muhammad Ahsan Qureshi

The Internet of Things (IoT) has eventually evolved into a more promising service provisioning paradigm, namely, Social Internet of Things (SIoT). Social Internet of Vehicles (SIoV) symbolizes a multitude of components from the existing Vehicular Ad-Hoc Networks (VANETs) such as OBUs, RSUs, and cloud devices that necessitate energy for proper… Read full abstract & cite →

Social Internet of Vehicles (SIoV) energy optimization Travel Sales Person (TSP) problem Ant Colony Optimization (ACO)

Abstract doi.org/10.14569/IJACSA.2021.0120915 PDF

16

The Role of Ontologies through the Lifecycle of Virtual Reality based Training (VRT) Development Process: A Review Study

Author 1: Youcef Benferdia Author 2: Mohammad Nazir Ahmad Author 3: Mushawiahti Mustafa Author 4: Mohd Amran Md Ali

The size of learning content continually challenges education and training providers. A recent advanced technology called Virtual Reality (VR) has emerged as a promising choice to facilitate knowledge acquisition and skill transfer in a variety of sectors. The main challenge in this technology is the increasing costs, time, effort, and… Read full abstract & cite →

Virtual reality ontology methodology training and learning

Abstract doi.org/10.14569/IJACSA.2021.0120916 PDF

17

Components and Indicators of Problem-solving Skills in Robot Programming Activities

Author 1: Chacharin Lertyosbordin Author 2: Sorakrich Maneewan Author 3: Daruwan Srikaew

The objective of this research was to study the components and indicators of problem-solving skills in robot programming activities for high school students. This is done by analyzing the second order of confirmatory factor analysis (CFA) based on data from the behavioral assessment with regard to the robot programming activities… Read full abstract & cite →

Components indicators problem solving robot programming

Abstract doi.org/10.14569/IJACSA.2021.0120917 PDF

18

A Hybrid Ensemble Word Embedding based Classification Model for Multi-document Summarization Process on Large Multi-domain Document Sets

Author 1: S Anjali Devi Author 2: S Sivakumar

Contextual text feature extraction and classification play a vital role in the multi-document summarization process. Natural language processing (NLP) is one of the essential text mining tools which is used to preprocess and analyze the large document sets. Most of the conventional single document feature extraction measures are independent of… Read full abstract & cite →

Word embedding models text classification multi-document summarization contextual feature similarity natural language processing

Abstract doi.org/10.14569/IJACSA.2021.0120918 PDF

19

Integration of Value Co-creation into the e-Learning Platform

Author 1: Eliza Annis Thangaiah Author 2: Ruzzakiah Jenal Author 3: Jamaiah Yahaya

The e-learning platform is a technology used in most academic institutions. The e-learning platform provides services as an alternative to conventional methods. Previous studies have primarily focused on using and accepting e-learning among consumers and developing tangible attributes on the platform. Platform attributes should be available to engage with all… Read full abstract & cite →

e-Learning co-creation S-D Logic value propositions value drivers actors

Abstract doi.org/10.14569/IJACSA.2021.0120919 PDF

20

An Efficient Aspect based Sentiment Analysis Model by the Hybrid Fusion of Speech and Text Aspects

Author 1: Maganti Syamala Author 2: N. J. Nalini

Aspect-based Sentiment Analysis (ABSA) is treated to be a challenging task in the domain of speech, as it needs the fusion of acoustic features and Linguistic features for information retrieval and decision making. The existing studies in speech are limited to speech and emotion recognition. The main objective of this… Read full abstract & cite →

Acoustic aspect-based sentiment analysis decision making emotion extraction hybrid lexicon linguistic natural language processing speech

Abstract doi.org/10.14569/IJACSA.2021.0120920 PDF

21

Evaluating Chinese Potential e-Commerce Websites based on Analytic Hierarchy Process

Author 1: Hemn Barzan Abdalla Author 2: Liwei Wang

China has recently become the largest market for e-commerce at the global level. After the technological revolution and its widespread, As of December 2020, about 782.41 million people deal with this e-commerce through modern and advanced electronic devices, which are smartphones, computers, and others. The study of e-commerce is one… Read full abstract & cite →

Analytic hierarchy process (AHP) e-commerce chinese e-commerce websites JD (JING DONG) taobao suning

Abstract doi.org/10.14569/IJACSA.2021.0120921 PDF

22

Detection Technique and Mitigation Against a Phishing Attack

Author 1: Haytham Tarek Mohammed Fetooh Author 2: M. M. EL-GAYAR Author 3: A. Aboelfetouh

Wireless networking is a main part of our daily life during these days, each one wants to be connected. Nevertheless, the massive progress in the Wi-Fi trends and technologies leads most people to give no attention to the security issues. Also detecting a fake access point is a hard security… Read full abstract & cite →

Rogue access point phishing attacks KARMA attack social engineering hacking

Abstract doi.org/10.14569/IJACSA.2021.0120922 PDF

23

A PSNR Review of ESTARFM Cloud Removal Method with Sentinel 2 and Landsat 8 Combination

Author 1: Dietrich G. P. Tarigan Author 2: Sani M. Isa

Remote sensing images with high spatial and temporal resolution (HSHT) for GIS land use monitoring are crucial data sources. When trying to get HSHT resolution images, cloud cover is a typical problem. The effects of cloud cover reduction using the ESTARFM, one of spatiotemporal image fusion technique, is examined in… Read full abstract & cite →

Cloud removal RS-Remote sensing PSNR-Peak signal noise ratio GIS-Geographic information system spatiotemporal image fusion

Abstract doi.org/10.14569/IJACSA.2021.0120923 PDF

24

An Improved K-anonymization Approach for Preserving Graph Structural Properties

Author 1: A. Mohammed Hanafy Author 2: Sherif Barakat Author 3: Amira Rezk

Privacy risks are an important issue to consider during the release of network data to protect personal information from potential attacks. Network data anonymization is a successful procedure used by researchers to prevent an adversary from revealing the user's identity. Such an attack is called a re-identification attack. However, this… Read full abstract & cite →

Privacy social networks anonymization edge-perturbation methods

Abstract doi.org/10.14569/IJACSA.2021.0120924 PDF

25

Security Enhancement in Software Defined Networking (SDN): A Threat Model

Author 1: Pradeep Kumar Sharma Author 2: S. S Tyagi

Software Defined Networking (SDN) has emerged as a technology which can replace the prevalent vendor based proprietary CLI networking devices. SDN has introduced applications based network control and provided various opportunities and challenges for research and innovation in these networks. Despite many advantages and opportunities in SDN, security is a… Read full abstract & cite →

Software defined networking (SDN) openflow control plane data plane controller programmability

Abstract doi.org/10.14569/IJACSA.2021.0120925 PDF

26

A Comprehensive Framework for Big Data Analytics in Education

Author 1: Ganeshayya Shidaganti Author 2: Prakash S

With the adoption of cloud services for hosting knowledge delivery system in educational domain, there is a surplus quantity of education data being generated every day by current learning management system. Such data are associated with certain typical complexities that impose significant challenges for existing database management and analytics. Review… Read full abstract & cite →

Big data data analytics educational big data predictive analytics text mining machine learning education technology

Abstract doi.org/10.14569/IJACSA.2021.0120926 PDF

27

A Systematic Mapping Study of Software Usability Studies

Author 1: Abdulwahab Ali Almazroi

Among software quality attributes “software usability” is considered as one of the vital factors in software engineering literature. Software usability is the ability for users to generally understand, use, and learn a software with ease. Due to the importance of usability in software quality, a considerable amount of literature is… Read full abstract & cite →

Software usability usability study systematic mapping study systematic literature review software engineering

Abstract doi.org/10.14569/IJACSA.2021.0120927 PDF

28

Multimedia Transmission Mechanism for Streaming Over Wireless Communication Channel

Author 1: Shwetha M Author 2: Yamuna Devi C R

With the evolution of wireless communication technologies (i.e., 4G/5G), the explosion of multimedia transmission of content sharing has become an integral part of users' daily lives. It expects further growth in Quality of Service (QoS) and Quality-of-Experience (QoE) performance. Therefore, multimedia service providers are developing new technologies to offer higher… Read full abstract & cite →

Multimedia transmission video encoding multimedia streaming quality of service quality of experience video compression standards

Abstract doi.org/10.14569/IJACSA.2021.0120928 PDF

29

A Systematic Literature Review on Regression Test Case Prioritization

Author 1: Ani Rahmani Author 2: Sabrina Ahmad Author 3: Intan Ermahani A. Jalil Author 4: Adhitia Putra Herawan

Test case prioritization (TCP) is deemed valid to improve testing efficiency, especially in regression testing, as retest all is costly. The TCP schedule the test case execution order to detect bugs faster. For such benefit, test case prioritization has been intensively studied. This paper reviews the development of TCP for… Read full abstract & cite →

Software testing test case prioritization regression testing requirements-based test case prioritization software engineering

Abstract doi.org/10.14569/IJACSA.2021.0120929 PDF

30

SNR based Energy Efficient Communication Protocol for Emergency Applications in WBAN

Author 1: K. Viswavardhan Reddy Author 2: Navin Kumar

Continuous remote monitoring of a patient’s health condition in dynamic environment imposes many challenges. Challenges further get multiplied based on the size of body area sensor network. One such challenge is energy efficiency of sensors. Maintaining longer life of all nodes, especially who participate in communicating vital signals from one… Read full abstract & cite →

WBAN energy efficiency emergency applications protocol remote monitoring

Abstract doi.org/10.14569/IJACSA.2021.0120930 PDF

31

Critical Success Factor of Trusted Elements for Mobile Health Records Management: A Review of Conceptual Models

Author 1: Fatin Nur Zulkipli Author 2: Nurussobah Hussin Author 3: Saiful Farik Mat Yatin Author 4: Azman Ismail

Health Information Technology such as Mobile Health Record Management (MHRM) and Electronic Health Record (EHR) depend on each other in maintaining the patients’ medical record. For maintaining trust specifically in health information technology development, the relationship among the patients, providers and clinicians needs to be maintained. The present study consists… Read full abstract & cite →

Electronic health record mobile health record records management health information technology records trust

Abstract doi.org/10.14569/IJACSA.2021.0120931 PDF

32

Non-linear Multiclass SVM Classification Optimization using Large Datasets of Geometric Motif Image

Author 1: Fikri Budiman Author 2: Edi Sugiarto

Support Vector Machine (SVM) with Radial Basis Functions (RBF) kernel is one of the methods frequently applied to nonlinear multiclass image classification. To overcome some constraints in the form of a large number of image datasets divided into nonlinear multiclass, there three stages of SVM-RBF classification process carried out i.e… Read full abstract & cite →

Geometric motif image classification multiclass non-linear large dataset

Abstract doi.org/10.14569/IJACSA.2021.0120932 PDF

33

Recent Progress, Emerging Techniques, and Future Research Prospects of Bangla Machine Translation: A Systematic Review

Author 1: M. A. H. Akhand Author 2: Arna Roy Author 3: Argha Chandra Dhar Author 4: Md Abdus Samad Kamal

Machine Translation (MT), the way of translating texts or documents from a source language to a target language automatically without human intervention, has gained popularity in the growing information technology-based era of globalization. Bangla is a major language, and several MT studies with different tools and techniques have been investigated… Read full abstract & cite →

Machine Translation (MT) Bangla language rule-based MT example-based MT statistical MT neural MT hybrid MT

Abstract doi.org/10.14569/IJACSA.2021.0120933 PDF

34

Classification of Breast Cancer Cell Images using Multiple Convolution Neural Network Architectures

Author 1: Zarrin Tasnim Author 2: F. M. Javed Mehedi Shamrat Author 3: Md Saidul Islam Author 4: Md.Tareq Rahman Author 5: Biraj Saha Aronya Author 6: Jannatun Naeem Muna Author 7: Md. Masum Billah

Breast cancer is a malignant tumor that affects women. It is the most prevalent cancer in women, affecting about 10% of all women at any point in their lives. The development of breast cancer begins in the lobules or ducts of the cells. Early detection and prevention are the best… Read full abstract & cite →

Breast cancer IDC non-IDC AlexNet VGG19 Inception sV3 GoogLeNet Xecption accuracy

Abstract doi.org/10.14569/IJACSA.2021.0120934 PDF

35

A Multi-dimensional Credibility Assessment for Arabic News Sources

Author 1: Amira M. Gaber Author 2: Mohamed Nour El-din Author 3: Hanan Moussa

Due to the advances in social media, it has become the most popular means of the propagation of news. Many news items are published on social media like Facebook, Twitter, Instagram, etc. Facebook is a huge source for spreading and consuming daily news, but it is an unstructured way of… Read full abstract & cite →

Information credibility social media machine learning Arabic Natural Language Processing (ANLP)

Abstract doi.org/10.14569/IJACSA.2021.0120935 PDF

36

Online Programming Semantic Error Feedback using Dynamic Template Matching

Author 1: Razali M. K. A Author 2: S. Suhailan Author 3: Mohamed M. A Author 4: M. D. M. Sufian

Many of automated computer programming feedback is generated based on static template matching that need to be provided by the experts. This research is focusing on developing an automated online programming semantic error feedback by using dynamic template matching models based on students’ correct answers submission. Currently, there is a… Read full abstract & cite →

Dynamic feedback online programming semantic error template matching

Abstract doi.org/10.14569/IJACSA.2021.0120936 PDF

37

Comparing MapReduce and Spark in Computing the PCC Matrix in Gene Co-expression Networks

Author 1: Nagwan Abdel Samee Author 2: Nada Hassan Osman Author 3: Rania Ahmed Abdel Azeem Abul Seoud

Correlation between gene expression profiles across multiple samples and the identification of inter-gene interactions is a critical technique for Co-expression networking. Due to the highly intensive processing of calculating the Pearson’s Correlation Coefficient, PCC, matrix, it often takes too much processing time to accomplish it. Therefore, in this work, Big… Read full abstract & cite →

Pearson's correlation Hadoop MapReduce spark gene co-expression networks GCN Affymetrix microarrays

Abstract doi.org/10.14569/IJACSA.2021.0120937 PDF

38

Analysis of Different Attacks on Software Defined Network and Approaches to Mitigate using Intelligent Techniques

Author 1: P. Karthika Author 2: A. Karmel

The detection of DDoS (Distributed Denial of Service) attacks is essential topic under network security. DDoS attacks cause network services to become unavailable by repeatedly flooding servers with unwanted traffic. The volume, magnitude, and complexity of these attacks increased dramatically as a result of low-cost Internet connections and easily available… Read full abstract & cite →

Distributed Denial of Service (DDoS) Software Defined Networking (SDN) attack detection Mininet OpenFlow mitigation machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2021.0120938 PDF

39

Multi-objective Batch Scheduling in Collaborative Multi-product Flow Shop System by using Non-dominated Sorting Genetic Algorithm

Author 1: Purba Daru Kusuma

Batch scheduling is a well-known topic that has been studied widely with various objectives, methods, and circumstances. Unfortunately, batch scheduling in a collaborative flow shop system is still unexplored. All studies about batch scheduling that are found were in a single flow shop system where all arriving jobs come from… Read full abstract & cite →

Batch scheduling flow shop NSGA II collaborative system

Abstract doi.org/10.14569/IJACSA.2021.0120939 PDF

40

Power Loss Minimization using Optimal Power Flow based on Firefly Algorithm

Author 1: Chia Shu Jun Author 2: Syahirah Abd Halim Author 3: Hazwani Mohd Rosli Author 4: Nor Azwan Mohamed Kamari

Conventional methods are commonly used to solve optimal power flow problems in power system networks. However, conventional methods are not suitable for solving large and non-linear optimal power flow problems as they are influenced by initialization values and more likely be trapped in local optimum. Hence, heuristic optimization methods such… Read full abstract & cite →

Optimal power flow firefly algorithm real power loss control variables

Abstract doi.org/10.14569/IJACSA.2021.0120940 PDF

41

Distance Education during the COVID-19 Pandemic: The Impact of Online Gaming Addiction on University Students’ Performance

Author 1: Mahmoud Abou Naaj Author 2: Mirna Nachouki

The COVID-19 pandemic has forced most universities worldwide to convert to distance education to ensure the educational process remains uninterrupted. The COVID-19 pandemic-related confinement orders have led students to be more engaged with online games. However, for a minority of students, excessive playing can become problematic and addictive. Few studies… Read full abstract & cite →

Distance education COVID-19 pandemic game addiction students’ performance

Abstract doi.org/10.14569/IJACSA.2021.0120941 PDF

42

Enhancing Business Process Modeling with Context and Ontology

Author 1: Jamal EL BOUROUMI Author 2: Hatim GUERMAH Author 3: Mahmoud NASSAR

Business process is a sequence of events and tasks that encompass actions and people. Therefore, a company that pays much attention to its business processes has to clearly identify and define the procedures of their relations. However, with the exponential evolution in ubiquitous computing, the exploitation of information spread all… Read full abstract & cite →

Business process business process modeling context context-awareness ontology

Abstract doi.org/10.14569/IJACSA.2021.0120942 PDF

43

Hybrid Decision Support System Framework for Leaf Image Analysis to Improve Crop Productivity

Author 1: Meeradevi Author 2: Monica R Mundada

Crop disease is one of the major problems with agriculture in India. Identifying the disease and classifying the type of disease is most important which can be made possible using the deep learning technique. To perform this verified dataset is required which consists of healthy and disease leaf images of… Read full abstract & cite →

Deep learning activation function attention mechanism dropout operation transfer learning VGG16

Abstract doi.org/10.14569/IJACSA.2021.0120943 PDF

44

Weighted Clustering for Deep Learning Approach in Heart Disease Diagnosis

Author 1: BhandareTrupti Vasantrao Author 2: Selvarani Rangasamy

An approach for heart diagnosis based on weighted clustering is presented in this paper. The existing heart diagnosis approach develops a decision based on correlation of feature vector of a querying sample with available knowledge to the system. With increase in the learning data to the system the search overhead… Read full abstract & cite →

Learning approach weighted clustering heart disease diagnosis gain factor

Abstract doi.org/10.14569/IJACSA.2021.0120944 PDF

45

Research Efforts and Challenges in Crowd-based Requirements Engineering: A Review

Author 1: Rosmiza Wahida Abdullah Author 2: Sabrina Ahmad Author 3: Siti Azirah Asmai Author 4: Seok-Won Lee Author 5: Zarina Mat Zain

Eliciting software system development requirements is a challenging task as the information is from various resources. The most constructive resource is the stakeholders of the system to be developed. It is critical yet time-consuming to capture essential requirements to realize a reliable and workable software system. The crowd-based Requirements Engineering… Read full abstract & cite →

Crowd-based requirement engineering requirements engineering requirements elicitation software engineering crowdsourcing review

Abstract doi.org/10.14569/IJACSA.2021.0120945 PDF

46

Application of Convolutional Neural Networks for Binary Recognition Task of Two Similar Industrial Machining Parts

Author 1: Hadyan Hafizh Author 2: Amir Hamzah Abdul Rasib Author 3: Rohana Abdullah Author 4: Mohd Hadzley Abu Bakar Author 5: Anuar Mohamed Kassim

Misclassifying parts in the small-medium manufacturing enterprise can lead to serious consequences. Manual inspection, as currently practiced, allows for compromises in product traceability. Due to this condition, inspection of the part’s number is not digitally visible. Due to a lack of modern traceability, customers receive incorrect parts, and the same… Read full abstract & cite →

Convolutional neural networks binary recognition machining parts deep learning

Abstract doi.org/10.14569/IJACSA.2021.0120946 PDF

47

Design and Evaluation of an Engagement Framework for e-Learning Gamification

Author 1: Mohammed Abdulaziz Alsubhi Author 2: Noraidah Sahari Ashaari Author 3: Tengku Siti Meriam Tengku Wook

Recently, gamification in education software development to improve student engagement and performance has become prevalent. Gamification is used to counter attrition and dropout issues in e-learning. A handful of methods are presented for the gamification of e-learning systems in the literature. However, the e-learning gamification methods proposed in the literature… Read full abstract & cite →

e-learning learning activities gamification game elements engagement framework

Abstract doi.org/10.14569/IJACSA.2021.0120947 PDF

48

Application of Deep Learning in Satellite Image-based Land Cover Mapping in Africa

Author 1: Nzurumike Obianuju Lynda Author 2: Ezeomedo Innocent C Author 3: Nwojo Agwu Nnanna Author 4: Ali Ahmad Aminu

Deep Learning Networks (DLN), in particular, Convolutional Neural Networks (CNN) has achieved state-of-the-art results in various computer vision tasks including automatic land cover classification from satellite images. However, despite its remarkable performance and broad use in developed countries, using this advanced machine learning algorithm has remained a huge challenge in… Read full abstract & cite →

Deep learning satellite image classification land cover mapping Africa

Abstract doi.org/10.14569/IJACSA.2021.0120948 PDF

49

Semi-supervised Deep Learning for Stress Prediction: A Review and Novel Solutions

Author 1: Mazin Alshamrani

This research introduces a novel self-supervised deep learning model for stress detection using an intelligent solution that detects the stress state using the physiological parameters. The first part of this research represents a concise review of different intelligent techniques for processing physiological data and the emotional states of humans. Also… Read full abstract & cite →

Deep learning semi-supervised learning contrastive learning physiological data stress prediction

Abstract doi.org/10.14569/IJACSA.2021.0120949 PDF

50

Customer Segmentation and Profiling for Life Insurance using K-Modes Clustering and Decision Tree Classifier

Author 1: Shuzlina Abdul-Rahman Author 2: Nurin Faiqah Kamal Arifin Author 3: Mastura Hanafiah Author 4: Sofianita Mutalib

Customer segmentation and profiling has become an important marketing strategy in most businesses as a preparation for better customer services as well as enhancing customer relationship management. This study presents the segmentation and classification technique for insurance industry via data mining approaches: K-Modes Clustering and Decision Tree Classifier. Data from… Read full abstract & cite →

Customer segmentation customer profiling decision tree insurance domain k-modes clustering

Abstract doi.org/10.14569/IJACSA.2021.0120950 PDF

51

Building a Standard Model of an Information System for Working with Documents on Scientific and Educational Activities

Author 1: Serikbayeva Sandugash Author 2: Tussupov Jamalbek Author 3: Sambetbayeva Madina Author 4: Yerzhanova Akbota Author 5: Abduvalova Ainur

To increase the effectiveness of research, it is necessary to have access to systematic information resources of scientific work. Therefore, in any field of science, it begins with research, the search for scientific information, but with the growing number of scientific articles, books, monographs, patents, the search for information becomes… Read full abstract & cite →

Scientific and educational activities distributed information systems electronic library metadata model search interoperability document ontology Z39. 50 SRU/SRW Apache Solr

Abstract doi.org/10.14569/IJACSA.2021.0120951 PDF

52

Detection of Intruder in Cloud Computing Environment using Swarm Inspired based Neural Network

Author 1: Nishika Author 2: Kamna Solanki Author 3: Sandeep Dalal

Cloud computing services offered a resource pool with a wide range of storage for large amounts of data. Cloud services are generally used as a demand-driven private or open data forum, and the increase in use has led to security concerns. Therefore, it is necessary to design an accurate Intrusion… Read full abstract & cite →

Cloud computing intrusion detection system cuckoo search feed forward back propagation neural network (FFBPNN)

Abstract doi.org/10.14569/IJACSA.2021.0120952 PDF

53

Construction of a Model and Development of an Algorithm for Solving the Wave Problem under Pulsed Loading

Author 1: Khabdolda Bolat Author 2: Zhuzbayev Serik Author 3: Sabitova Diana S Author 4: Aitkenova Ailazzat A Author 5: Serikbayeva Sandugash Author 6: Badekova Karakoz Zh Author 7: Yerzhanova Akbota Y

The article considers approaches and methods for modeling the wave process resulting from blasting operations. The analysis of modeling methods has shown that in the context of the task it is advisable to conduct a study based on the application of the method of behavioral characteristics, which was optimized using… Read full abstract & cite →

Information systems wave process explosive technologies method of bicharacteristics stress tensor

Abstract doi.org/10.14569/IJACSA.2021.0120953 PDF

54

Evaluation Study of Elliptic Curve Cryptography Scalar Multiplication on Raspberry Pi4

Author 1: Fatimah Alkhudhayr Author 2: Tarek Moulahi Author 3: Abdulatif Alabdulatif

The internet of things (IoT) is defined as a collection of autonomous devices that connect and network with each other via the Internet without the requirement for human interaction. It enhances daily our lives such as through personal devices, healthcare sensing, retail sensing, and industrial control, as well as the… Read full abstract & cite →

IoT elliptic curve cryptography fast scalar multiplication raspberry Pi4

Abstract doi.org/10.14569/IJACSA.2021.0120954 PDF

55

A Comparative Analysis of Scalability Issues within Blockchain-based Solutions in the Internet of Things

Author 1: Ahmed Alrehaili Author 2: Abdallah Namoun Author 3: Ali Tufail

Recently, enormous interest has been shown by both academia and industry around concepts and techniques related to connecting heterogeneous IoT devices. It is now considered a rapidly evolving technology with billions of IoT devices expected to be deployed in the upcoming years around the globe. These devices must be maintained… Read full abstract & cite →

Blockchain IoT scalability issues distributed ledger throughput latency

Abstract doi.org/10.14569/IJACSA.2021.0120955 PDF

56

An Internet of Things (IoT) Reference Model for an Infectious Disease Active Digital Surveillance System

Author 1: Nur Hayati Author 2: Kalamullah Ramli Author 3: Muhammad Suryanegara Author 4: Muhammad Salman

Internet of Things (IoT) technological assistance for infectious disease surveillance is urgently needed when outbreaks occur, especially during pandemics. The IoT has great potential as an active digital surveillance system, since it can provide meaningful time-critical data needed to design infectious disease surveillance. Many studies have developed the IoT for… Read full abstract & cite →

IoT framework digital surveillance infectious disease Covid-19

Abstract doi.org/10.14569/IJACSA.2021.0120956 PDF

57

Personally Identifiable Information (PII) Detection in the Unstructured Large Text Corpus using Natural Language Processing and Unsupervised Learning Technique

Author 1: Poornima Kulkarni Author 2: Cauvery N K

Personally Identifiable Information (PII) has gained much attention with the rapid development of technologies and the exploitation of information relating to an individual. The corporates and other organizations store a large amount of information that is primarily disseminated in the form of emails that include personnel information of the user… Read full abstract & cite →

PII natural language processing word2vec machine learning PII detection security

Abstract doi.org/10.14569/IJACSA.2021.0120957 PDF

58

Evaluation of Data Center Network Security based on Next-Generation Firewall

Author 1: Andi Jehan Alhasan Author 2: Nico Surantha

This study aims to create a network security system that can mitigate attacks carried out by internal users and reduce attacks from internal networks. Further, a network security system is expected to overcome the difficulty of mitigating attacks carried out by internal users. The goal of this research is to… Read full abstract & cite →

Network security next-generation firewall TCP SYN attack UDP flood attack ICMP smurf attack

Abstract doi.org/10.14569/IJACSA.2021.0120958 PDF

59

Analogy of the Application of Clustering and K-Means Techniques for the Approximation of Values of Human Development Indicators

Author 1: José Luis Morales Rocha Author 2: Mario Aurelio Coyla Zela Author 3: Nakaday Irazema Vargas Torres Author 4: Genciana Serruto Medina

The objective of this study was to apply Clustering and K-Means’ techniques to classify the departments of Peru according to their Human Development Index. In this article, the elbow method was used to determine the optimal number of clusters, applying the classification algorithms to group the departments of Peru according… Read full abstract & cite →

Clustering K-Means elbow method cohesion separation human development index

Abstract doi.org/10.14569/IJACSA.2021.0120959 PDF

60

Analysis of Momentous Fragmentary Formants in Talaqi-like Neoteric Assessment of Quran Recitation using MFCC Miniature Features of Quranic Syllables

Author 1: Mohamad Zulkefli Adam Author 2: Noraimi Shafie Author 3: Hafiza Abas Author 4: Azizul Azizan

The use of technological speech recognition systems with a variety of approaches and techniques has grown rapidly in a variety of human-machine interaction applications. Further to this, a computerized assessment system to identify errors in reading the Qur'an can be developed to practice the advantages of technology that exist today… Read full abstract & cite →

Speech processing MFCC-Formant Quranic recitation assessment human-guided threshold classification

Abstract doi.org/10.14569/IJACSA.2021.0120960 PDF

61

IoT-based e-Health Framework for COVID-19 Patients Monitoring

Author 1: Fahad Albogamy

The COVID-19 pandemic, produced by the SARS-CoV-2 virus, has caused global public health emergency, with the rapid evolution and tragic consequences. The fight against this disease, whose epidemiological, clinical, and prognostic characteristics are still being studied in recent works which is forcing a change in the form of care, to… Read full abstract & cite →

COVID-19 IoT healthcare e-Health

Abstract doi.org/10.14569/IJACSA.2021.0120961 PDF

62

Brown Spot Disease Severity Level Detection using Binary-RGB Image Masking

Author 1: N. S. A. M Taujuddin Author 2: N. H. N. A Halim Author 3: M. Siti Norsuha Author 4: R. Koogeethavani Author 5: Z. H Husin Author 6: A. R. A Ghani Author 7: Tara Othman Qadir

Agriculture is known as one of the main factor for a growth of a country. Paddy plantation is the most widely planted crop in Malaysia. The rice produced is the main food source to Malaysian’s people and source of income to this country as well. However, a disease known as… Read full abstract & cite →

Brown spot image enhancement binary image RGB image masking process

Abstract doi.org/10.14569/IJACSA.2021.0120962 PDF

63

A Novel Feature Extraction for Complementing Authentication in Hand-based Biometric

Author 1: Mahalakshmi B S Author 2: Sheela S V

With an increasing usage of hand-based biometrics in authentication system, there is a need to evolve up with more potential security owing to increasing evolution of threats. The security of the hand authentication system completely depends upon uniqueness and distinct selection of features from hand image which has the properties… Read full abstract & cite →

Biometric security feature extraction hand geometric authentication palmprint recognition

Abstract doi.org/10.14569/IJACSA.2021.0120963 PDF

64

Categorical Vehicle Classification and Tracking using Deep Neural Networks

Author 1: Deependra Sharma Author 2: Zainul Abdin Jaffery

The classification and tracking of vehicles is a crucial component of modern transportation infrastructure. Transport authorities make significant investments in it since it is one of the most critical transportation facilities for collecting and analyzing traffic data to optimize route utilization, increase transportation safety, and build future transportation plans. Numerous… Read full abstract & cite →

Vehicle classification generative adversarial networks single shot multibox detector vehicle tracking deep neural networks

Abstract doi.org/10.14569/IJACSA.2021.0120964 PDF

65

Goal-oriented Email Stream Classifier with A Multi-agent System Approach

Author 1: Wenny Hojas-Mazo Author 2: Mailyn Moreno-Espino Author 3: José Vicente Berná Martínez Author 4: Francisco Maciá Pérez Author 5: Iren Lorenzo Fonseca

Now-a-days, email is often one of the most widely used means of communication despite the rise of other communication methods such as instant messaging or communication via social networks. The need to automate the email stream management increases for reasons such as multi-folder categorization, and spam email classification. There are… Read full abstract & cite →

Email stream classification goal-oriented requirements i* multi-agent system

Abstract doi.org/10.14569/IJACSA.2021.0120965 PDF

66

Problem based Learning: An Experience of Evaluation based on Indicators, Case of Electronic Business in Professional Career of Systems Engineering

Author 1: César Baluarte-Araya Author 2: Ernesto Suarez-Lopez Author 3: Oscar Ramirez-Valdez

It is a reality that universities place great emphasis on formative research in the training of their students in order to increase their knowledge, skills, attitudes and achieve competences. This paper aims to show the experience of applying the Problem-Based Learning (PBL) methodology to assess learning based on indicators that… Read full abstract & cite →

Problem-based learning formative research competences evaluation performance indicator skills deliverable report

Abstract doi.org/10.14569/IJACSA.2021.0120966 PDF

67

Genetic Behaviour of Zika Virus and Identification of Motif

Author 1: Pushpa Susant Mahapatro Author 2: Jatinderkumar R. Saini

ZIKV is a mosquito-borne disease. It is known to cause neurological disorders and congenital disabilities in newborns. The Genome Sequence of the Zika virus is used for the study. The essential cell functionalities like circadian behavior and expression of genes are studied. Regulatory proteins are alternating functionalities during daytime and… Read full abstract & cite →

Circadian behaviour consensus string genome study greedy search technique motif search regulatory proteins

Abstract doi.org/10.14569/IJACSA.2021.0120967 PDF

68

Enhanced Graphical Representation of Data in Web Application (Case Study: Covid-19 in the UK)

Author 1: Rockson Adomah Author 2: Tariq Alwada’n Author 3: Mohammed Al Masarweh

This paper describes the analysis, design, and implementation of responsive data representation in the web application that can render data asynchronously to users by making an Application Programming Interface (API) request from a webserver. At the same time, provides high-quality downloadable Scalable Vector Graphics (SVG) images for journals, magazines, and… Read full abstract & cite →

Data representation data visualization accessibility standards scalable vector graphics Covid-19

Abstract doi.org/10.14569/IJACSA.2021.0120968 PDF

69

Internet of Things Multi-protocol Interoperability with Syntactic Translation Capability

Author 1: Nedaa H. Ahmed Author 2: Ahmed M. Sadek Author 3: Haytham Al-Feel Author 4: Rania A. AbulSeoud

Because Internet of Things (IoT) systems contain different devices, infrastructures, and data formats; its success depends on the realization of full interoperability among these systems. Interoperability is a communication challenge that affects all the layers of the system. In this paper, a transparent translator to solve interoperability issues in two… Read full abstract & cite →

Internet of things (IoT) interoperability multiprotocol translation message payload translation SSN ontology

Abstract doi.org/10.14569/IJACSA.2021.0120969 PDF

70

Comparing SMOTE Family Techniques in Predicting Insurance Premium Defaulting using Machine Learning Models

Author 1: Mohamed Hanafy Kotb Author 2: Ruixing Ming

Default in premium payments impacts significantly on the profitability of the insurance company. Therefore, predicting defaults in advance is very important for insurance companies. Predicting in the insurance sector is one of the most beneficial and important study areas in today's world, thanks to technological advancements. But because of the… Read full abstract & cite →

Machine learning classification insurance imbalanced data SMOTE family statistical analysis

Abstract doi.org/10.14569/IJACSA.2021.0120970 PDF

71

A Gray Box-based Approach to Automatic Requirements Specification for a Robot Patrol System

Author 1: Soojin Park

The black box-based requirements specification models representative by the use case model focus on specifying system behaviors exposed outside. While these models are sufficiently effective in specifying requirements for business applications behavior, they are limited in specifying requirements for embedded systems with relatively very short interaction sequences with users. To… Read full abstract & cite →

Embedded system automatic requirement specifications generation mobile robots use case specification

Abstract doi.org/10.14569/IJACSA.2021.0120971 PDF

72

A Comparison of BAT and Firefly Algorithm in Neighborhood based Collaborative Filtering

Author 1: Hartatik Author 2: Bayu Permana Sejati Author 3: Hamdani Hamdani Author 4: Andri Syafrianto

The recommender system is a knowledge-based filtering system that predicts the users' rating and preference for what they might desire. Simultaneously, the neighborhood method is a promising approach to perform predictions, resulting in a high accuracy based on the common items. This method, furthermore, could affect the resulting accuracy value… Read full abstract & cite →

Bat algorithm firefly algorithm collaborative filtering recommender system swarm intelligent

Abstract doi.org/10.14569/IJACSA.2021.0120972 PDF

73

Modeling a Fault Detection Predictor in Compressor using Machine Learning Approach based on Acoustic Sensor Data

Author 1: Divya M. N Author 2: Narayanappa C. K Author 3: Gangadharaiah S. L

Proper functioning of the air compressor ensures stability for many critical systems. The ill-effect of the breakdown caused by the wear and tear in the system can be mitigated if there exists an effective automated fault classification system. Traditionally, the simulation-based methods help to extend to identify the faults; however… Read full abstract & cite →

Air-compressor fault detection LSTM multi-layer perception ANN acoustic sensor data

Abstract doi.org/10.14569/IJACSA.2021.0120973 PDF

74

Organisational Information Security Management Maturity Model

Author 1: Mazlina Zammani Author 2: Rozilawati Razali Author 3: Dalbir Singh

Information Security Management (ISM) is a systematic initiative in managing the organisation’s information security. ISM can also be defined as a strategic approach to addressing information security (IS) risks, breaches, and incidents that could threaten the confidentiality, integrity, and availability of information. Although organisations have complied with ISM requirements, security… Read full abstract & cite →

Information security information security management maturity models information security management maturity model

Abstract doi.org/10.14569/IJACSA.2021.0120974 PDF

75

Applying Grey Clustering and Shannon’s Entropy to Assess Sediment Quality from a Watershed

Author 1: Alexi Delgado Author 2: Betsy Vilchez Author 3: Fabian Chipana Author 4: Gerson Trejo Author 5: Renato Acari Author 6: Rony Camarena Author 7: Víctor Galicia Author 8: Chiara Carbajal

The evaluation of the quality of sediments is a complex issue in the Peruvian reality, mainly because there is no sampling protocol or norm for comparison, which leads to the assessment of sediments without a comprehensive analysis of their quality. In the present study, the quality of the sediments in… Read full abstract & cite →

Grey clustering sediment quality Shannon entropy

Abstract doi.org/10.14569/IJACSA.2021.0120975 PDF

76

A Hybrid Intrusion Detection Model for Identification of Threats in Internet of Things Environment

Author 1: Nsikak Pius Owoh Author 2: Manmeet Mahinderjit Singh Author 3: Zarul Fitril Zaaba

Internet of Things (IoT) has transcended from its application in traditional sensing networks such as wireless sensing and radio frequency identification to life-changing and critical applications. However, IoT networks are still vulnerable to threats, attacks, intrusions, and other malicious activities. Intrusion Detection Systems (IDS) that employ unsupervised learning techniques are… Read full abstract & cite →

Internet of things intrusion detection system k-means principal component analysis support vector machine

Abstract doi.org/10.14569/IJACSA.2021.0120976 PDF

77

Data Dissemination for Bioinformatics Application using Agent Migration

Author 1: Shakir Ullah Shah Author 2: Abdul Hameed Author 3: Jamil Ahmad Author 4: Hafeez Ur Rehman Safia Fatima Author 5: Muhammad Amin

Bioinformatics is research intensive field where agents operate in highly dynamic environment. Due to extensive research in this domain leads to basic but important problems for the researchers that are (1) Bandwidth (2) storage and (3) computation. We are using agent migration approach to reduce the network load and resolve… Read full abstract & cite →

Data dissemination protein-protein interactions agent migration inter-platform mobility multi-agent systems

Abstract doi.org/10.14569/IJACSA.2021.0120977 PDF

78

Hybrid Metaheuristic Aided Energy Efficient Cluster Head Selection in Wireless Sensor Network

Author 1: Turki Ali Alghamdi

Clustering is one of the significant techniques for expanding the lifetime of networks in wireless sensor networks (WSNs). It entails combining of sensor nodes (SNs) into clusters and electing cluster heads (CHs) for each and every cluster. CH collects the information from particular cluster nodes and passes the cumulative data… Read full abstract & cite →

Cluster head security trust dragonfly algorithm LU-DA model

Abstract doi.org/10.14569/IJACSA.2021.0120978 PDF

79

Risk Assessment Methods for Cybersecurity in Nuclear Facilities: Compliance to Regulatory Requirements

Author 1: Lilis Susanti Setianingsih Author 2: Reza Pulungan Author 3: Agfianto Eko Putra Author 4: Moh Edi Wibowo Author 5: Syarip

As strategic infrastructures, nuclear facilities are considered attractive targets for attackers to commit their mali-cious intention. At the same time, for efficiency, those infrastruc-tures are increasingly implemented, equipped with, and managed by digitally computerized systems. Attackers, therefore, try to realign their attack scenarios through such cyber systems. It is crucial… Read full abstract & cite →

Risk assessment cybersecurity nuclear facilities security requirements regulatory requirements

Abstract doi.org/10.14569/IJACSA.2021.0120979 PDF

80

Comparative Analysis of Spark and Ignite for Big Spatial Data Processing

Author 1: Samah Abuayeid Author 2: Louai Alarabi

Recently, spatial data became one of the most interesting fields related to big data studies, in which the spatial data have been generated and consumed from different resources. However, the increasing numbers of location-based services and applications such as Google Maps, vehicle navigation, recommendation systems are the main foundation of… Read full abstract & cite →

Big spatial data GeoSpark SpatialIgnite Apache Ignite Apache Spark

Abstract doi.org/10.14569/IJACSA.2021.0120980 PDF

81

Carrot Disease Recognition using Deep Learning Approach for Sustainable Agriculture

Author 1: Naimur Rashid Methun Author 2: Rumana Yasmin Author 3: Nasima Begum Author 4: Aditya Rajbongshi Author 5: Md. Ezharul Islam

Carrot is a fast-growing and nutritious vegetable cultivated throughout the world for its edible roots. The farmers are still learning the scientific methods of carrot production worldwide. For the production of good quality carrots, modern technology is not being used to its fullest to detect carrot vegetable diseases in the… Read full abstract & cite →

Deep learning convolutional neural network In-ception v3 carrot disease recognition

Abstract doi.org/10.14569/IJACSA.2021.0120981 PDF

82

Data Security: A New Symmetric Cryptosystem based on Graph Theory

Author 1: Khalid Bekkaoui Author 2: Soumia Ziti Author 3: Fouzia Omary

Sharing private data in an unsecured channel is extremely critical, as unauthorized entities can intercept it and could break its privacy. The design of a cryptosystem that fulfills the security requirements in terms of confidentiality, integrity and authenticity of transmitted data has therefore become an unavoidable imperative. Indeed, a lot… Read full abstract & cite →

Cryptosystem graph theory hamiltonian circuits adjacency matrix block cipher encryption

Abstract doi.org/10.14569/IJACSA.2021.0120982 PDF

83

A New Algorithm to Reduce Peak to Average Power Ratio in OFDM Systems based on BCH Codes

Author 1: Brahim BAKKAS Author 2: Reda Benkhouya Author 3: Toufik Chaayra Author 4: Chana Idriss Author 5: Hussain Ben-Azza

Orthogonal Frequency Division Multiplexing (OFDM) has a great peak-to-average power ratio (PAPR). This will reduce the performance of the power amplifier (PA). Therefore, PAPR deteriorates the overall energy efficiency of an OFDM system. Peak Insertion (PI) is one of the most commonly used methods to reduce PAPR, it gives the… Read full abstract & cite →

Orthogonal Frequency Division Multiplexing (OFDM) Peak to Average Power Ratio (PAPR) Bit Error Rate (BER) Peak Insertion (PI) Coding Bose Chaudhuri Hocquenghem (BCH)

Abstract doi.org/10.14569/IJACSA.2021.0120983 PDF

84

Collision Resolution Techniques in Hash Table: A Review

Author 1: Ahmed Dalhatu Yusuf Author 2: Saleh Abdullahi Author 3: Moussa Mahamat Boukar Author 4: Salisu Ibrahim Yusuf

One of the major challenges of hashing is achieving constant access time O (1) with an efficient memory space at a high load factor environment when various keys generate the same hash value or address. This problem causes a collision in the hash table, to resolve the collision and achieve… Read full abstract & cite →

Hashing collision resolution hash table hash function slot

Abstract doi.org/10.14569/IJACSA.2021.0120984 PDF

85

Future Friend Recommendation System based on User Similarities in Large-Scale on Social Network

Author 1: Md. Amirul Islam Author 2: Linta Islam Author 3: Md. Mahmudul Hasan Author 4: Partho Ghose Author 5: Uzzal Kumar Acharjee Author 6: Md. Ashraf Kamal

Friendship is one of the most important issues in online social networks (OSN). Researchers analyze the OSN to determine how people are connected to a network and how new connections are developed. Most of the existing methods cannot efficiently evaluate a friendship graphs internal connectivity and decline to render a… Read full abstract & cite →

Social networks recommendation framework pro-file similarity network similarity

Abstract doi.org/10.14569/IJACSA.2021.0120985 PDF

86

An Open-source Wireless Platform for Real-time Water Quality Monitoring with Precise Global Positioning

Author 1: Niel F. Salas-Cueva Author 2: Jorch Mendoza Author 3: Juan Carlos Cutipa-Luque Author 4: Pablo Raul Yanyachi

Sustainable development associated with the agri-cultural field of Arequipa, a region in economic growth, is vul-nerable to contamination of water resources, putting production systems and food security at risk. Therefore, it is necessary to implement an automated system to control, management, and monitor this vital resource. The proposed work proposed… Read full abstract & cite →

Open-source water quality monitoring real-time python visual interface MySQL dual Global Navigation Satellite System (GNSS) Inertial Navigation System (INS) multiparameter sonde

Abstract doi.org/10.14569/IJACSA.2021.0120986 PDF

87

Structured and Unstructured Robust Control for an Induction Motor

Author 1: Jhoel F. Espinoza-Quispe Author 2: Juan C. Cutipa-Luque Author 3: German A. Echaiz Espinoza Author 4: Andres O. Salazar

The indirect field-oriented control approaches for induction motors have recently gained more attention due to its use in trend areas, such as electromobility, electric vehicles, electric ships, and unmanned vehicles. This work studies the performance of two advanced control synthesized by the H8 norm as an alternative to the classical… Read full abstract & cite →

H8 Robust control induction motor indirect field oriented control

Abstract doi.org/10.14569/IJACSA.2021.0120987 PDF

88

Employing DDR to Design and Develop a Flipped Classroom and Project based Learning Module to Applying Design Thinking in Design and Technology

Author 1: Mohd Ridzuan Padzil Author 2: Aidah Abd Karim Author 3: Hazrati Husnin

The purpose of this study is to discuss the Design and Development (DDR) research approach that was used to develop a Flipped Classroom and project-based learning modules for students of Design and Technology (D&T). The module's fundamental theory is based on 21st-century teaching and learning models, as well as design… Read full abstract & cite →

Flipped classroom project-based learning design and development (DDR) Isman instructional design model

Abstract doi.org/10.14569/IJACSA.2021.0120988 PDF

89

Effective Service Discovery based on Pertinence Probabilities Learning

Author 1: Mohammed Merzoug Author 2: Abdelhak Etchiali Author 3: Fethallah Hadjila Author 4: Amina Bekkouche

Web service discovery is one of the most motivating issues of service-oriented computing field. Several approaches have been proposed to tackle this problem. In general, they leverage similarity measures or logic-based reasoning to perform this task, but they still present some limitations in terms of effectiveness. In this paper, we… Read full abstract & cite →

Service-oriented computing web service discovery rank aggregation probabilistic fusion

Abstract doi.org/10.14569/IJACSA.2021.0120989 PDF