IJACSA Vol. 11 Issue 12 (2020)

1

Performance based Comparison between Several Link Prediction Methods on Various Social Networking Datasets (Including Two New Methods)

Author 1: Ahmad Rawashdeh

This work extends my previous work on link prediction in Social Networks. In this research, I used two additional datasets, Twitter dataset and Facebook Social Circles Dataset and I ran link prediction methods on these datasets. In my previous work, I performed experiment on the Facebook dataset and proposed two… Read full abstract & cite →

Social networks link prediction comparison experiment

Abstract doi.org/10.14569/IJACSA.2020.0111201 PDF

2

The Impact of Teaching Operating Systems using Two Different Teaching Modalities

Author 1: Ingrid A. Buckley

This paper presents a preliminary look at the performance of two cohorts enrolled in an Operating System course which was taught using two different teaching delivery methods. Operating systems is a technical, senior-level, undergraduate course that includes abstract concepts, mechanisms, and their implementations. This course exposes students to a UNIX-based… Read full abstract & cite →

Operating systems synchronous online course traditional course face-to-face course online course

Abstract doi.org/10.14569/IJACSA.2020.0111202 PDF

3

Reducing Energy Consumption in Microcontroller-based Systems with Multipipeline Architecture

Author 1: Cristian Andy Tanase

Current mobile battery powered systems require low power consumption as possible without affecting the overall performance of the system. The purpose of this article is to present a multi-pipeline architecture implemented on a RISC V processor with 4 levels pipeline. Each thread has an assigned CLKSCALE registry that allows to… Read full abstract & cite →

Multi-pipeline register RISC V (Reduced Instruc-tion Set Computer) power consumption multi-threading FPGA (Field Programmable Gate Array) variable frequency

Abstract doi.org/10.14569/IJACSA.2020.0111203 PDF

4

Cryptanalysis and Countermeasure of “An Efficient NTRU-based Authentication Protocol in IoT Environment”

Author 1: YoHan Park Author 2: Woojin Seok Author 3: Wonhyuk Lee Author 4: Hong Taek Ju

A quantum computer is a paradigm of information processing that can show remarkable possibilities of exponentially improved information processing. However, this paradigm could disrupt the current cryptosystem, which is called quantum computing attacks, by calculating factoring problem and discrete logarithm problem. Recently, NTRU is applied to various security systems, because… Read full abstract & cite →

Post-quantum NTRU biometrics user authentica-tion key agreement

Abstract doi.org/10.14569/IJACSA.2020.0111204 PDF

5

Developing a Mining Robot for Mars Exploitation: NASA Robotics Mining Competition (RMC)

Author 1: Tariq Tashtoush Author 2: Agustin Velazquez Author 3: Andres Aranguren Author 4: Cristian Cavazos Author 5: David Reyes Author 6: Edgar Hernandez Author 7: Emily Bueno Author 8: Esteban Otero Author 9: Gerardo Zamudio Author 10: Hector Casarez Author 11: Jorge Rullan Author 12: Jose Rodriguez Author 13: Juan Carlos Villarreal Author 14: Michael Gutierrez Author 15: Patricio Rodriguez Author 16: Roberto Torres Author 17: Rosaura Martinez Author 18: Sanjuana Partida

This paper focuses on demonstrating the design and build stages, and effort done by Systems Engineering students team (DustyTRON NASA Robotics) to develop a mining robot that was used in the 2016 National Aeronautics & Space Ad-ministration (NASA) Robotics Mining Competition (RMC). The objective of the NASA RMC challenge is… Read full abstract & cite →

NASA Robotics Mining competition mining robot ice regolith autonomous NASA space exploration systems life-cycle mechanical structure design control system systems engineering

Abstract doi.org/10.14569/IJACSA.2020.0111205 PDF

6

Context Classification based on Mixing Ratio Estimation by Means of Inversion Theory

Author 1: Kohei Arai

A contextual image classification method with a proportion estimation of the pixels composed of several classes, Mixed pixels (Mixels), is proposed. The method allows us to check the connectivity of separated road segments, which are observed frequently as discontinuity of roads in satellite remote sensing imagery. Under the assumption of… Read full abstract & cite →

Search engine fuzzy expression knowledge base system membership function mixed pixel: Mixel context information inverse problem solving

Abstract doi.org/10.14569/IJACSA.2020.0111206 PDF

7

Concurrent Detection of Linear and Angular Motion using a Single-Mass 6-axis Piezoelectric IMU

Author 1: Hela Almabrouk Author 2: Mohamed Hadj Said Author 3: Fares Tounsi Author 4: Brahim Mezghani Author 5: Guillaume Agnus Author 6: Yves Bernard

This paper exhibits operating system and performances of a novel single-mass 6-axis Inertial Measurement Unit (IMU) using piezoelectric detection. The electronic processing circuitry for the concurrent detection of linear and angular motion is proposed. The IMU structure is based on the use of 2 rings, connected with eight electrodes, implemented… Read full abstract & cite →

Inertial measurement unit piezoelectric detection angular rate linear acceleration electronic circuitry

Abstract doi.org/10.14569/IJACSA.2020.0111207 PDF

8

Can Model Checking Assure, Distributed Autonomous Systems Agree? An Urban Air Mobility Case Study

Author 1: Anubhav Gupta Author 2: Siddhartha Bhattacharyya Author 3: S. Vadivel

Advancement in artificial intelligence, internet of things and information technology have enabled the delegation of execution of autonomous services to autonomous systems for civil applications. It is envisioned, that with an increase in the demand for autonomous systems, the decision making associated in the execution of the autonomous services will… Read full abstract & cite →

Formal methods autonomous systems distributed algorithms assurance for distributed protocols distributed protocol modeling and verification distributed autonomous systems

Abstract doi.org/10.14569/IJACSA.2020.0111208 PDF

9

Prospects and Challenges of Learning Management Systems in Higher Education

Author 1: Ahmed Al-Hunaiyyan Author 2: Salah Al-Sharhan Author 3: Rana AlHajri

Many higher education institutions nowadays are equipped with Learning Management Systems (LMS) to provide rich online learning solutions and utilize its functions and capabilities to improve the learning practices. The current study aims to gain instructors’ perspective of LMS, investigate the use of its functions, and identify the barriers that… Read full abstract & cite →

Learning Management Systems (LMS) e-learning Information Communication Technology (ICT) Higher Education (HE)

Abstract doi.org/10.14569/IJACSA.2020.0111209 PDF

10

Deep Learning based Approach for Bone Diagnosis Classification in Ultrasonic Computed Tomographic Images

Author 1: Marwa Fradi Author 2: Mouna Afif Author 3: Mohsen Machhout

Artificial intelligence (AI) in the area of medical imaging has shown a developed technology to have automatically the true diagnosis especially in ultrasonic imaging area. At this light, two types of neural networks algorithms have been developed to automatically classify the Ultrasonic Computed Tomographic (USCT) images into three categories, such… Read full abstract & cite →

USCT Inception-V3 MobileNet Ameobanet-V2 classification accuracy transfer deep learning

Abstract doi.org/10.14569/IJACSA.2020.0111210 PDF

11

Ice Concentration Estimation Method with Satellite based Microwave Radiometer by Means of Inversion Theory

Author 1: Kohei Arai

Ice concentration estimation method with satellite-based microwave radiometer by means of inversion theory is proposed. Through experiments, it is found that the proposed methods are superior to the existing methods, the NASA Team algorithm and the Comiso's Bootstrap algorithm with up to 45% of improvement on ice concentration estimation accuracy… Read full abstract & cite →

Ice concentration Microwave radiometer Inversion Theory Comiso’s Bootstrap algorithm The Special Sensor Microwave Imager (SSM/I) Japanese Earth Resources Satellite: JERS-1 Synthetic Aperture Radar: SAR

Abstract doi.org/10.14569/IJACSA.2020.0111211 PDF

12

The Effectiveness of Adopting e-Learning during COVID-19 at Hashemite University

Author 1: Alaa Obeidat Author 2: Rana Obeidat Author 3: Mohammed Al-Shalabi

e-Learning is the utilization of the electronic technologies and the media to deliver the educational content to the learners, enabling them to interact actively with the content, the teachers, and their peers. Students’ interaction can be either synchronous or asynchronous or a combination of both. One advantage of the e-learning… Read full abstract & cite →

e-Learning COVID19 classroom ICT Hashemite University educational platform

Abstract doi.org/10.14569/IJACSA.2020.0111212 PDF

13

Recovering UML2 Sequence Diagrams from Execution Traces

Author 1: EL Mahi BOUZIANE Author 2: Chafik BAIDADA Author 3: Abdeslam JAKIMI

Reverse engineering is a proven and efficient technique for automatically generating UML2 models from object-oriented legacy systems with missing or obsolete documentation. To perform reverse engineering, two techniques are used: dynamic and static analysis. Dynamic analysis refers to collecting information when the system is running while static analysis corresponds to… Read full abstract & cite →

Execution traces Reverse engineering UML2 Sequence Diagram Colored Petri Nets

Abstract doi.org/10.14569/IJACSA.2020.0111213 PDF

14

The Architecture of Intelligent Career Prediction System based on the Cognitive Technology for Producing Graduates to the Digital Manpower

Author 1: Pongsaton Palee Author 2: Panita Wannapiroon Author 3: Prachyanun Nilsook

This research is a documentary research aimed at designing the architecture of the intelligent career prediction system based on the cognitive technology for producing graduates to the digital manpower. The research methods were divided into three phases: Phase 1, Composition Synthesis of Intelligent Career Prediction System. Phase 2, Intelligent Career… Read full abstract & cite →

Architecture of intelligent career prediction system cognitive technology producing graduates digital manpower

Abstract doi.org/10.14569/IJACSA.2020.0111214 PDF

15

Analyzing the Barriers and Possibilities with p-values towards Starting a New Postgraduate Computer and Engineering Programs at Najran University: A Cross-Sectional Study

Author 1: Abdullah Alghamdi

A cross-sectional study was conducted to find out the barriers and their possible solutions to start a new postgraduate computer and engineering programs at Najran University (NU), Kingdom of Saudi Arabia. This study includes interviews and surveys consist of 35 questions. The total number of the participant was 363; most… Read full abstract & cite →

Postgraduate program p-values barriers Najran university English language schedule

Abstract doi.org/10.14569/IJACSA.2020.0111215 PDF

16

Enhancing Convolutional Neural Network using Hu’s Moments

Author 1: Sanad AbuRass Author 2: Ammar Huneiti Author 3: Mohammad Belal Al-Zoubi

Convolutional Neural Networks (CNN) is a powerful deep learning method which is mostly used in image classification and image recognition applications. It has achieved acceptable accuracy in these fields but it still suffers some limitations. One of these limitations of CNN is the lack of ability to be invariant to… Read full abstract & cite →

CNN image transformations invariant Hu’s moments

Abstract doi.org/10.14569/IJACSA.2020.0111216 PDF

17

Predicting Undergraduate Admission: A Case Study in Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Bangladesh

Author 1: Md. Protikuzzaman Author 2: Mrinal Kanti Baowaly Author 3: Maloy Kumar Devnath Author 4: Bikash Chandra Singh

The university admission tests find the applicant's ability to admit to the desired university. Nowadays, there is a huge competition in the university admission tests. The failure in the admission tests makes an examinee depressed. This paper proposes a method that predicts undergraduate admission in universities. It can help students… Read full abstract & cite →

Undergraduate admission educational data mining XGBoost Light GBM GBM evaluation metrics

Abstract doi.org/10.14569/IJACSA.2020.0111217 PDF

18

Applications of Clustering Techniques in Data Mining: A Comparative Study

Author 1: Muhammad Faizan Author 2: Megat F. Zuhairi Author 3: Shahrinaz Ismail Author 4: Sara Sultan

In modern scientific research, data analyses are often used as a popular tool across computer science, communication science, and biological science. Clustering plays a significant role in the reference composition of data analysis. Clustering, recognized as an essential issue of unsupervised learning, deals with the segmentation of the data structure… Read full abstract & cite →

Clustering data analysis data mining unsupervised learning k-mean algorithms

Abstract doi.org/10.14569/IJACSA.2020.0111218 PDF

19

A Genetic Algorithm Approach for Inter and Intra Homogeneous Grouping Considering Multi-student Characteristics

Author 1: A. M. Aseere

This paper addresses the problem of group formation in collaborative learning by considering the students’ characteristics. The proposed solution is based on a Genetic Algorithm (GA), which minimizes an objective function that has two main aims. Indeed, the proposed GA’s fitness function helps to achieve two objectives: Fairness in the… Read full abstract & cite →

Genetic algorithm group formation intragroup homogeneity intergroup homogeneity fitness permutation random keys representation

Abstract doi.org/10.14569/IJACSA.2020.0111219 PDF

20

The Effects of Privacy Preserving Data Publishing based on Overlapped Slicing on Feature Selection Stability and Accuracy

Author 1: Mohana Chelvan P Author 2: Perumal K

Feature selection is vital for data mining as each organization gathers a colossal measure of high dimensional microdata. Among significant standards of the algorithms for feature selection, the primary one which is currently considered as significant is feature selection stability along with accuracy. Privacy preserving data publishing methods with various… Read full abstract & cite →

Overlapped slicing privacy preserving data publishing feature selection Jaccard Index selection stability

Abstract doi.org/10.14569/IJACSA.2020.0111220 PDF

21

Exploring UX Maturity in Software Development Environments in Saudi Arabia

Author 1: Obead Alhadreti

User experience (UX) design is becoming increasingly crucial for developing successful software today. It can determine whether or not users stay engaged with a product or service. It is, therefore, important that organizations have their users in mind when developing software and that there is a maturity for UX work… Read full abstract & cite →

User experience UX maturity Saudi Arabia

Abstract doi.org/10.14569/IJACSA.2020.0111221 PDF

22

Noise and Restoration of UAV Remote Sensing Images

Author 1: Asmala Ahmad Author 2: Khadijah Amira Mohd Fauzey Author 3: Mohd Mawardy Abdullah Author 4: Suliadi Firdaus Sufahani Author 5: Mohd Yazid Abu Sari Author 6: Abd Rahman Mat Amin

Remotely sensed images captured from a camera mounted on a UAV (unmanned aerial vehicle) are exposed to noise caused by internal factors, such as the UAV system itself or external factors such as atmospheric conditions. Such images need to be restored before they can undergo further processing stages. This study… Read full abstract & cite →

Noise restoration remote sensing UAV PSNR

Abstract doi.org/10.14569/IJACSA.2020.0111222 PDF

23

Prevention of Attacks in Mobile Ad Hoc Network using African Buffalo Monitoring Zone Protocol

Author 1: R. Srilakshmi Author 2: M.Jaya Bhaskar

Mobile ad hoc networks (MANET) can be utilized for communicating wirelessly. However, MANET is affected by many attacks and malicious activities. In MANET, the prevention approach is necessary to secure communication. MANET is easily affected by numerous attacks such as wormhole (WH) attack, Grey-hole (GH) attack, and black-hole (BH) attack… Read full abstract & cite →

Mobile ad hoc network malicious nodes routing protocol wormhole attack security

Abstract doi.org/10.14569/IJACSA.2020.0111223 PDF

24

Analysis of Indonesian Motorcycle Gang with Social Network Approach

Author 1: Edi Surya Negara Author 2: Ria Andryani Author 3: Deni Erlansyah Author 4: Rezki Syaputra

Analysis of motorcycle gang networks in Indonesia was conducted to determine the dynamics of the motor gang network. This analysis is needed by the government in making appropriate and effective policies in overcoming social problems caused by the existence of this group. The purpose of this study is to detect… Read full abstract & cite →

Social network data mining data analytics community detection motorcycle gang

Abstract doi.org/10.14569/IJACSA.2020.0111224 PDF

25

Predictive System of Semiconductor Failures based on Machine Learning Approach

Author 1: Yousef El Mourabit Author 2: Youssef El Habouz Author 3: Hicham Zougagh Author 4: Younes Wadiai

Maintenance in manufacturing has been developed and researched in the last few decades at a very rapid rate. It’s a major step in process control to build a decision tool that detects defects in equipment or processes as quickly as possible to maintain high process efficiencies. However, the high complexity… Read full abstract & cite →

Machine learning semiconductor predictive maintenance industry 4.0

Abstract doi.org/10.14569/IJACSA.2020.0111225 PDF

26

Industrial Energy Load Profile Forecasting under Enhanced Time of Use Tariff (ETOU) using Artificial Neural Network

Author 1: Mohamad Fani Sulaima Author 2: Siti Aishah Abu Hanipah Author 3: Nur Rafiqah Abdul Razif Author 4: Intan Azmira Wan Abdul Razak Author 5: Aida Fazliana Abdul Kadir Author 6: Zul Hasrizal Bohari

The demand response program involves consumers to mitigate peak demand and reducing global CO2 emission. In sustaining this effort, energy provider such as Tenaga Nasional Berhad (TNB) in Peninsular Malaysia has introduced Enhance Time of Use (ETOU) tariff. However, since 2015, small numbers join the ETOU program due to less… Read full abstract & cite →

Time of use artificial neural network energy forecasting load profile

Abstract doi.org/10.14569/IJACSA.2020.0111226 PDF

27

A Fast Military Object Recognition using Extreme Learning Approach on CNN

Author 1: Hari Surrisyad Author 2: Wahyono

Convolutional Neural Network (CNN) is an algorithm that can classify image data with very high accuracy but requires a long training time so that the required resources are quite large. One of the causes of the long training time is the existence of a backpropagation-based classification layer, which uses a… Read full abstract & cite →

Training-speed resource backpropagationm CNN ELM

Abstract doi.org/10.14569/IJACSA.2020.0111227 PDF

28

A New Traffic Distribution Routing Algorithm for Low Level VPNs

Author 1: Abdelwahed Berguiga Author 2: Ahlem Harchay Author 3: Ayman Massaoudi Author 4: Radhia Khdhir

Virtual Private Networks (VPN) constitute a particular class of shared networks. In such networks, the resources are shared among several customers. The management of these resources requires a high level of automation to obtain the dynamics necessary for the well-functioning of a VPN. In this paper, we consider the problem… Read full abstract & cite →

Virtual Private Networks (VPN) Quality of Service (QoS) NS-2 Simulations Shortest Path Routing (SPR) Traffic Split Routing (TSR) Routing algorithm

Abstract doi.org/10.14569/IJACSA.2020.0111228 PDF

29

A Platform for Extracting Driver Behavior from Vehicle Sensor Big Data

Author 1: Sultan Ibrahim bin Ibrahim Author 2: Emad Felemban Author 3: Faizan Ur Rehman Author 4: Ahmad Muaz Qamar Author 5: Akhlaq Ahmad Author 6: Abdulrahman A. Majrashi

Traffic analysis of vehicles in densely populated areas and places of public gathering can provide interesting insights into crowd behavior. Hajj is a spatio-temporally bound religious activity that is held annually and attended by more than 2 million people. More than 17,000 buses are used to transport pilgrims on fixed… Read full abstract & cite →

GPS Data AVL sensors hajj big data traffic analysis

Abstract doi.org/10.14569/IJACSA.2020.0111229 PDF

30

Simulation and Analysis of Variable Antenna Designs for Effective Stroke Detection

Author 1: Amor Smida

The variety of applications of patch antenna for portable applications has opened the avenues for the possibilities of having compact, cost-efficient, and life-saving devices. Considering the challenges of portability and cost in making it feasible for detecting strokes in the masses of developing countries where the demand is quite high… Read full abstract & cite →

Stroke detection Specific Absorption Rate (SAR) Patch Antenna S-parameter (S11) electromagnetic wave bio-heat transfer

Abstract doi.org/10.14569/IJACSA.2020.0111230 PDF

31

Verification of Himawari-8 Observation Data using Cloud Optical Thickness (COT) and Cloud Image Energy

Author 1: Umar Ali Ahmad Author 2: Wendi Harjupa Author 3: Dody Qory Utama Author 4: Risyanto Author 5: Alex Lukmanto Suherman Author 6: Wahyu Pamungkas Author 7: Prayitno Abadi Author 8: Agus Virgono Author 9: Burhanuddin Dirgantoro Author 10: Reza Rendian Septiawan Author 11: Mas’ud Adhi Saputra

Himawari-8 satellite cloud observation data covers all areas of Indonesia. The cloud observation data can be used for observations of current weather conditions and short-term predictions. This paper reports the verification method of Himawari-8 Observation Data using Cloud Optical Thickness (COT) and compared to Cloud Image Energy. The verification test… Read full abstract & cite →

Himawari-8 COT image classification cloud energy

Abstract doi.org/10.14569/IJACSA.2020.0111231 PDF

32

A Smart Approximation Algorithm for Minimum Vertex Cover Problem based on Min-to-Min (MtM) Strategy

Author 1: Jawad Haider Author 2: Muhammad Fayaz

In this paper, we have proposed an algorithm based on min-to-min approach. In the proposed algorithm first the degree of each vertex of the graph is calculated. Next the vertex with minimum degree is selected, after which all the neighbors of the minimum degree are located. In the neighbors of… Read full abstract & cite →

Minimum vertex cover approximation algorithms maximum independent set benchmark instances graph theory

Abstract doi.org/10.14569/IJACSA.2020.0111232 PDF

33

Developing an Intelligent Framework for Improving the Quality of Service in the Government Organizations in the Kingdom of Saudi Arabia

Author 1: Abdulelah Abdallah AlGosaibi Author 2: Abdul Rahaman Wahab Sait Author 3: Abdulaziz Fahad AlOthman Author 4: Shadan AlHamed

The Kingdom of Saudi Arabia is enhancing the services and applications in government organizations through the number of systems that generate a massive amount of data through Big Data technology. Recently, the Global Artificial Intelligent Summit 2020, Saudi Data and Artificial Intelligence Authority (SDAIA), NEOM have launched an Artificial Intelligence… Read full abstract & cite →

Key performance indicators big data hierarchical analysis artificial intelligence privacy policies metadata pattern generation

Abstract doi.org/10.14569/IJACSA.2020.0111233 PDF

34

iDietScoreᵀᴹ: Meal Recommender System for Athletes and Active Individuals

Author 1: Norashikin Mustafa Author 2: Abdul Hadi Abd Rahman Author 3: Nor Samsiah Sani Author 4: Mohd Izham Mohamad Author 5: Ahmad Zawawi Zakaria Author 6: Azimah Ahmad Author 7: Noor Hafizah Yatiman Author 8: Ruzita Abd Talib Author 9: Poh Bee Koon Author 10: Nik Shanita Safii

Individualized meal planning is a nutrition counseling strategy that focuses on improving food behavior changes. In the sports setting, the number of experts who are sports dietitians or nutritionists (SD/SN) is small in number, and yet the demand for creating meal planning for a vast number of athletes often cannot… Read full abstract & cite →

Expert system meal planning sports nutrition inference engine design and development

Abstract doi.org/10.14569/IJACSA.2020.0111234 PDF

35

Learner Behavior in e-Learning as a Multicriteria Attribute based on Perspective of Flow Experience

Author 1: Dadang Syarif Sihabudin Sahid

Flow experience describe psychological condition in the form of optimal experience of an activity. Flow shows an interconnection, interest, and pleasure toward an activity, thus enable user to fully participate in the activity. In e-learning activity, flow provides positive experience of a learning process. This condition is essential in user’s… Read full abstract & cite →

Flow experience learning behavior multicriteria attribute TAM e-learning

Abstract doi.org/10.14569/IJACSA.2020.0111235 PDF

36

Determinants of Privacy Protection Behavior in Social Networking Sites

Author 1: Siti Norlyana Suhaimi Author 2: Nur Fadzilah Othman Author 3: Raihana Syahirah Author 4: Syarulnaziah Anawar Author 5: Zakiah Ayop Author 6: Cik Feresa Mohd Foozy

Social Networking Sites (SNSs) are an attractive online platform for social interaction and communication. Since SNSs are easily accessed by a large number of people, a large quantity of data is also stored in the SNSs. Consequently, concern regarding the exposure to privacy risk will emerge. In this case, users… Read full abstract & cite →

Privacy social networking sites privacy protection motivation theory hyperpersonal communication theory

Abstract doi.org/10.14569/IJACSA.2020.0111236 PDF

37

A Hybird Framework based on Autoencoder and Deep Neural Networks for Fashion Image Classification

Author 1: Aziz Alotaibi

Deep learning has played a huge role in computer vision fields due to its ability to extract underlying and complex features of input images. Deep learning is applied to complex vision tasks to perform image recognition and classification. Recently, Apparel classification, is an application of computer vision, has been intensively… Read full abstract & cite →

Fashion detection fashion classification convolutional autoencoder deep learning insert

Abstract doi.org/10.14569/IJACSA.2020.0111237 PDF

38

Adaptive e-Learning AI-Powered Chatbot based on Multimedia Indexing

Author 1: Salma El Janati Author 2: Abdelilah Maach Author 3: Driss El Ghanami

With the rapid evolution of e-learning technology, the multiple sources of information become more and more accessible. However, the availability of a wide range of e-learning offers makes it difficult for learners to find the right content for their training needs. In this context, our paper aims to design an… Read full abstract & cite →

e-Learning Chatbot Speech-To-Text NLP Keywords Extraction Text Clustering Multimedia Indexing

Abstract doi.org/10.14569/IJACSA.2020.0111238 PDF

39

An Assessment of Organizational Capabilities for ERP Implementation in SMEs: A Governance Model for IT Success using a Resource-based Approach

Author 1: Houcine Chatti Author 2: Evan Asfoura Author 3: Gamal Kassem

One of the most coveted technological innovations is the increasing use of Integrated Management Software (ERP) since the early 1990s. ERP is considered a powerful reengineering tool that profoundly transforms a company's business processes and changes the way to conduct reengineering projects and implement new software. The significant number of… Read full abstract & cite →

ERP success systemic approach quantitative study structural equation modelling

Abstract doi.org/10.14569/IJACSA.2020.0111239 PDF

40

On Developing High-Speed Heterogeneous and Composite ES Network through Multi-Master Interface

Author 1: J Rajasekhar Author 2: JKR Sastry

These days, many heterogeneous and composite embedded systems contain many subnets developed using different bus-based protocols, such as I2C, CAN, USB, and RS485. There is always a requirement to Interface and interconnect the heterogeneous ES networks to achieve and establish a composite network. The ES networks developed using different protocols… Read full abstract & cite →

Embedded systems embedded networks hybridization of embedded networks hybridizations through multi-master communication

Abstract doi.org/10.14569/IJACSA.2020.0111240 PDF

41

An Analysis of Human Activities Recognition using Smartwatches Dataset

Author 1: Saadia Karim Author 2: SM Aqil Burney Author 3: Nadeem Mahmood

Today, the era of smart devices evolving the human behavior interaction to a changing environment where the learning of activities is monitored to predict the next step of human behavior. The smart devices have these sensors built-in (accelerometer and gyroscope), which are continuously generating a large amount of data. The… Read full abstract & cite →

Human activity recognition smartwatches big data machine learning random forest

Abstract doi.org/10.14569/IJACSA.2020.0111241 PDF

42

Performance Analysis of Fermat Factorization Algorithms

Author 1: Hazem M. Bahig Author 2: Mohammed A. Mahdi Author 3: Khaled A. Alutaibi Author 4: Amer AlGhadhban Author 5: Hatem M. Bahig

The Rivest-Shamir-Adleman (RSA) cryptosystem is one of the strong encryption approaches currently being used for secure data transmission over an insecure channel. The difficulty encountered in breaking RSA derives from the difficulty in finding a polynomial time for integer factorization. In integer factorization for RSA, given an odd composite number… Read full abstract & cite →

Integer factorization Fermat’s algorithm RSA factorization with sieving perfect square

Abstract doi.org/10.14569/IJACSA.2020.0111242 PDF

43

Agent-based Model for Simulating Urban System

Author 1: Fatimazahra BARRAMOU Author 2: Malika ADDOU

In this paper, we address the issue related to the modelling and simulation of urban systems. We propose a new approach for simulating urban system based on multi-agent paradigm. Our proposed model is based on the use of a coupling between cellular agents and vector agents. These agents made it… Read full abstract & cite →

Multi agent systems simulation modelling urban system cellular agent vector agent

Abstract doi.org/10.14569/IJACSA.2020.0111243 PDF

44

Applying Digital Image Processing Technology in Discovering Green Patches in the Desert of Saudi Arabia

Author 1: Ali Mehdi Author 2: Md Alamin Bhuiyan

In recent years, the Kingdom of Saudi Arabia has witnessed a noticeable growth of grass and small trees in the desert, forming green patches. Those green patches may have the potential to spread and cover a wider area in the desert in the coming years, thus, making areas of the… Read full abstract & cite →

Image processing change detection optical flow analysis green patches color segmentation

Abstract doi.org/10.14569/IJACSA.2020.0111244 PDF

45

A Decision Support System for Detecting Age and Gender from Twitter Feeds based on a Comparative Experiments

Author 1: Roobaea Alroobaea Author 2: Sali Alafif Author 3: Shomookh Alhomidi Author 4: Ahad Aldahass Author 5: Reem Hamed Author 6: Rehab Mulla Author 7: Bedour Alotaibi

Author profiling aims to correlate writing style with author demographics. This paper presents an approach used to build a Decision Support System (DSS) for detecting age and gender from Twitter feeds. The system is implemented based on Deep Learning (DL) algorithms and Machine Learning (ML) algorithms to distinguish between classes… Read full abstract & cite →

Decision support system age detection gender detection author profiling deep learning machine learning

Abstract doi.org/10.14569/IJACSA.2020.0111245 PDF

46

Admission Exam Web Application Prototype for Blind People at the University of Sciences and Humanities

Author 1: Alexis Carrion-Silva Author 2: Carlos Diaz-Nunez Author 3: Laberiano Andrade-Arenas

Currently, there is a large sector of Peru's population that has some type of disability. Every year, the government creates norms for their integration into society. However, to date, total integration is not achieved. One of the points that can be seen is at the moment of taking an entrance… Read full abstract & cite →

Admission Balsamiq blind scrum soft systems

Abstract doi.org/10.14569/IJACSA.2020.0111246 PDF

47

Credit Card Business in Malaysia: A Data Analytics Approach

Author 1: Mohamed Khaled Yaseen Author 2: Mafas Raheem Author 3: V. Sivakumar

The revolution of big data has made resonance in the banking sector especially in dealing with the massive amount of data. The banks have the opportunity to know about the customer's opinions and satisfaction regarding their products by analyzing the data gathered every day. So, the banks can transform these… Read full abstract & cite →

Credit card predictive analytics random forest sentiment analysis banking

Abstract doi.org/10.14569/IJACSA.2020.0111247 PDF

48

Automatic Detection of Elbow Abnormalities in X-ray Imagery

Author 1: Mashal Afzal Author 2: M. Moazzam Jawaid Author 3: Rizwan Badar Baloch Author 4: Sanam Narejo

Abnormality or deformity in any of the bone disrupts overall function of human skeleton. Hence, orthopedic abnormalities are common reasons for emergency department visits and elbow deformation is one of the common issue seen among emergency patients. Despite high frequency of elbow-related casualties, there is no standardized method for interpretation… Read full abstract & cite →

Deformation detection multi-class probabilistic segmentation edge detection and geometrical shape detection

Abstract doi.org/10.14569/IJACSA.2020.0111248 PDF

49

Compact Scrutiny of Current Video Tracking System and its Associated Standard Approaches

Author 1: Karanam Sunil Kumar Author 2: N P Kavya

With an increasing demands of video tracking systems with object detection over wide ranges of computer vision applications, it is necessary to understand the strengths and weaknesses of the present situation of approaches. However, there are various publications on different techniques in the visual tracking system associated with video surveillance… Read full abstract & cite →

Video tracking object tracking visual tracking video surveillance object detection

Abstract doi.org/10.14569/IJACSA.2020.0111249 PDF

50

Algorithm Design to Determine Possibility of Student Graduate Time in Student Grade Recapitulation Application

Author 1: Marliana Budhiningtias Winanti Author 2: Umi Narimawati Author 3: Suwinarno Nadjamudin Author 4: Hendar Rubedo Author 5: Syahrul Mauluddin

This study aims to create an algorithm model to determine the potential time for student graduation to be applied to the grade recapitulation information system at XYZ University Information System Study Program. The XYZ University Information System Study Program already has a grade recapitulation information system, but the grade recapitulation… Read full abstract & cite →

Algorithm graduate subject grade

Abstract doi.org/10.14569/IJACSA.2020.0111250 PDF

51

Hybrid Invasive Weed Optimization with Tabu Search Algorithm for an Energy and Deadline Aware Scheduling in Cloud Computing

Author 1: Pradeep Venuthurumilli Author 2: Sridhar Mandapati

The current existing high flexibility, profitability, and potential have made cloud computing extremely popular among the companies. This is used for improving and applying resources in an efficient manner and optimize makespan of the tasks. Scheduling is easy while there are only a few tasks to complete with few resources… Read full abstract & cite →

Cloud computing scheduling Genetic Algorithm (GA) Invasive Weed Optimization (IWO) and Tabu Search (TS)

Abstract doi.org/10.14569/IJACSA.2020.0111251 PDF

52

Adaptive Retrieval Time-Related Data Model for Tracking Factors Affecting Diabetes

Author 1: Ibrahim AlBidewi Author 2: Nashwan Alromema Author 3: Fahad Alotaibi

In the last four decades several dozens of representing time-oriented data/knowledge bases have been presented. Some of these representations violate First Normal Form (1NF) by using Non-First Normal Form (N1NF) prototypes and temporal nested representations, while others simulated the concepts of temporal data with relational data representation without violating 1NF… Read full abstract & cite →

Diabetes database time-data model diabetes observations valid-time data knowledge-based data

Abstract doi.org/10.14569/IJACSA.2020.0111252 PDF

53

Artificial Neural Network based Emotion Classification and Recognition from Speech

Author 1: Mudasser Iqbal Author 2: Syed Ali Raza Author 3: Muhammad Abid Author 4: Furqan Majeed Author 5: Ans Ali Hussain

Emotion recognition from speech signals is still a challenging task. Hence, proposing an efficient and accurate technique for speech-based emotion recognition is also an important task. This study is focused on four basic human emotions (sad, angry, happy, and normal) recognition using an artificial neural network that can be detected… Read full abstract & cite →

Emotion States ANN BR BRANN emotion classifier speech emotion recognition

Abstract doi.org/10.14569/IJACSA.2020.0111253 PDF

54

Problematic Use of Mobile Phones during the COVID-19 Pandemic in Peruvian University Students, 2020

Author 1: Rosa Perez-Siguas Author 2: Randall Seminario-Unzueta Author 3: Hernan Matta-Solis Author 4: Melissa Yauri-Machaca Author 5: Eduardo Matta-Solis

The problematic use of mobile phones during the COVID-19 pandemic has been predicted as a mental alteration in university students due to confinement due to the health crisis that exists in our country and in the world, therefore, the objective of the study is to determine the problematic use of… Read full abstract & cite →

Mental health pandemic coronavirus mobile phones

Abstract doi.org/10.14569/IJACSA.2020.0111254 PDF

55

Examining Users’ Willingness to Post Sensitive Personal Data on Social Media

Author 1: O’la Hmoud Al-laymoun Author 2: Ali Aljaafreh

Reaping the vast benefits of ubiquitous social media requires users to share their information, preferences, and interests on these websites. This research draws on communications privacy management theory and the online privacy literature to develop and validate an empirical research model testing users’ willingness to share sensitive data on Facebook… Read full abstract & cite →

Self-disclosure sensitive data Facebook policy government regulations privacy control privacy risk

Abstract doi.org/10.14569/IJACSA.2020.0111255 PDF

56

Investigating Epidemic Growth of COVID-19 in Saudi Arabia based on Time Series Models

Author 1: Mohamed Torky Author 2: M. Sh Torky Author 3: Azza Ahmed Author 4: Aboul Ella Hassanein Author 5: Wael Said

Predictive mathematical models for simulating the spread of the COVID-19 pandemic are an interesting and fundamental approach to understand the infection growth curve of the epidemic and to plan effective control strategies. Time series predictive models are one of the most important mathematical models that can be utilized for studying… Read full abstract & cite →

COVID-19 outbreak time series models SIRD SEIRD SEIQRDP

Abstract doi.org/10.14569/IJACSA.2020.0111256 PDF

57

Learners’ Activity Indicators Prediction in e-Learning using Fuzzy Logic

Author 1: Sanae CHEHBI Author 2: Rachid ELOUAHBI Author 3: Chakir FRI

With the idea of introducing computer supports in education, Online Learning (named also e-learning) associated on one hand, the concept of network, therefore that of distance and concepts of communicating interaction, whether between the learner and the teacher (or tutor), or between the learners themselves and on the other hand… Read full abstract & cite →

e-Learning tracking Moodle traces activity indicators fuzzy logic

Abstract doi.org/10.14569/IJACSA.2020.0111257 PDF

58

An Evolutionary Algorithm for Short Addition Chains

Author 1: Hazem M. Bahig Author 2: Khaled A. Alutaibi Author 3: Mohammed A. Mahdi Author 4: Amer AlGhadhban Author 5: Hatem M. Bahig

The encryption efficiency of the Rivest-Shamir-Adleman cryptosystem is based on decreasing the number of multiplications in the modular exponentiation (ME) operation. An addition chain (AC) is one of the strategies used to reduce the time consumed by ME through generating a shortest/short chain. Due to the non-polynomial time required for… Read full abstract & cite →

Addition chain short chain evolutionary algorithm modular exponentiation RSA

Abstract doi.org/10.14569/IJACSA.2020.0111258 PDF

59

A User-centered Design Approach to Near Field Communication-based Applications for Children

Author 1: Mrim Alnfiai

There is an abundance of technology targeting children in terms of education, entertainment, and health; however, little research has been conducted on the usability of Near Field Communication (NFC) to create an interactive, digital environment for children easily accessible on a mobile device. NFC technology is a component of Radio… Read full abstract & cite →

Near Field Communication (NFC) mobile device applications NFC tags RFID early learning K-12 students preschool children educational software usability user-centered design

Abstract doi.org/10.14569/IJACSA.2020.0111259 PDF

60

Enhancement of Natural Language to SQL Query Conversion using Machine Learning Techniques

Author 1: Akshar Prasad Author 2: Sourabh S Badhya Author 3: Yashwanth YS Author 4: Shetty Rohan Author 5: Shobha G Author 6: Deepamala N

In the age of information explosion, there is a huge data that is stored in the form of database and accessed using various querying languages. The major challenges faced by a user accessing this data is to learn the querying language and understand the various syntax associated with it. Query… Read full abstract & cite →

Machine learning natural language to SQL query long short-term memory embedding layer elastic search hybrid architecture

Abstract doi.org/10.14569/IJACSA.2020.0111260 PDF

61

Digital Transformation in Higher Education: A Framework for Maturity Assessment

Author 1: Adam Marks Author 2: Maytha AL-Ali Author 3: Reem Atassi Author 4: Abedallah Zaid Abualkishik Author 5: Yacine Rezgu

Literature in digital transformation maturity is scarce. Digital transformation in higher education, especially after COVID-19 is seen as inevitable. This research explores digital transformation maturity and challenges within Higher Education. The significance of this study stems from the role digital transformation plays in today’s knowledge economy. This study proposes a… Read full abstract & cite →

Digital transformation higher education COVID-19

Abstract doi.org/10.14569/IJACSA.2020.0111261 PDF

62

Temporal-based Optimization to Solve Data Sparsity in Collaborative Filtering

Author 1: Ismail Ahmed Al-Qasem Al-Hadi Author 2: Mohammad Ahmed Alomari Author 3: Eissa M. Alshari Author 4: Waheed Ali H. M. Ghanem Author 5: Safwan M Ghaleb

Collaborative Filtering (CF) is a widely used technique in recommendation systems. It provides personal recommendations for users based on their preferences. However, this technique suffers from the sparsity issue which occurs due to a high proportion of missing rating scores in a rating matrix. Several factorization approaches have been used… Read full abstract & cite →

Collaborative filtering matrix factorization temporal-based approaches whale optimization

Abstract doi.org/10.14569/IJACSA.2020.0111262 PDF

63

Enhanced Algorithm for Reconstruction of Three-Dimensional Mesh from Medical Images using Tessellation of Recent Graphics Cards

Author 1: Lamyae Miara Author 2: Said Benomar El Mdeghri Author 3: Mohammed Oucamah Cherkaoui Malki

The reconstruction of a 3D mesh using displacement vectors for medical images is a recent method that allows the exploitation of modern GPUs. This method demonstrated its efficiency by accelerating 3D visualization calculations and optimizing the storage process. In fact, it is divided into two main stages. The first step… Read full abstract & cite →

3D reconstruction medical imaging marching cubes displacement vectors contour extraction contour matching

Abstract doi.org/10.14569/IJACSA.2020.0111263 PDF

64

Determinants towards a Better Acceptance Model of IoT in KSA and Eradication of Distrust in Omnipresent Environments

Author 1: Abdulaziz A. Albesher Author 2: Adeeb Alhomoud

This paper highlights several of the key determinants that play a vital role in the acceptance of Internet of Things (IoT) technologies in the Kingdom of Saudi Arabia (KSA). Based on the governmental focus towards technology and the response of the citizens towards embracing new technologies, several determining factors are… Read full abstract & cite →

Internet of Things (IoT) security health IoT acceptance smart cities

Abstract doi.org/10.14569/IJACSA.2020.0111264 PDF

65

Fraud Detection in Credit Cards using Logistic Regression

Author 1: Hala Z Alenzi Author 2: Nojood O Aljehane

Due to the increasing number of customers as well as the increasing number of companies that use credit cards for ending financial transactions, the number of fraud cases has increased dramatically. Dealing with noisy and imbalanced data, as well as with outliers, has accentuated this problem. In this work, fraud… Read full abstract & cite →

Classifier logistic regression accuracy smoothing artificial intelligence cross validation

Abstract doi.org/10.14569/IJACSA.2020.0111265 PDF

66

New Sector Scan Geometry for High Frame Rate 2D-Echocardiography using Phased Arrays

Author 1: Wided Hechkel Author 2: Brahim Maaref Author 3: Nejib Hassen

2D echocardiography high frame rate techniques do have some drawbacks such as crosstalk artifacts caused by the interactions between the parallel transmitted and received beams. In this paper, we suggest a new cardiac imaging technique based on MLT (Multi-Line Transmission). The main idea of our approach is to benefit from… Read full abstract & cite →

2D Echocardiography high frame rate multi-line transmit beamforming new scan geometry reduced crosstalk

Abstract doi.org/10.14569/IJACSA.2020.0111266 PDF

67

Secure Energy Efficient Attack Resilient Routing Technique for Zone based Wireless Sensor Network

Author 1: Venkateswara Rao M Author 2: Srinivas Malladi

Security and Energy efficiency are two key factors to be contemplated in the design of applications based on wireless sensor networks (WSNs). Optimization of energy consumption is obligatory for an increased life time of the network. Without security, attackers can disrupt the entire operation of sensor network by instigating diverse… Read full abstract & cite →

Energy efficiency malicious zones preference score probabilistic fuzzy score residual energy

Abstract doi.org/10.14569/IJACSA.2020.0111267 PDF

68

An Effective Solution to Count-to-Infinity Problem for both Complex and Linear Sub-Networks

Author 1: Sabrina Hossain Author 2: Kazi Mushfiquer Rahman Author 3: Ahmed Omar Author 4: Anisur Rahman

Distance vector routing protocol determines the best route for forwarding information from one node to another node based on distance. For calculating the best route, Distance-vector routing protocols use the Bellman-ford algorithm and the Ford-Fulkerson algorithm. The Bellman-Ford distributed algorithm calculates the shortest path. On the other hand, Routing Information… Read full abstract & cite →

Distance vector routing local area network routing information protocol

Abstract doi.org/10.14569/IJACSA.2020.0111268 PDF

69

An Efficient Smart Weighted and Neighborhood-enabled Load Balancing Scheme for Constraint Oriented Networks

Author 1: Mohammed Amin Almaiah

In wireless sensor networks (WNSs), uniform load or traffic distribution strategy is one of the main challenging issues, which is tightly coupled with the resource-limited networks. To address this problem, various mechanisms have been developed and presented in the literature. However, these approaches were either application specific that is designed… Read full abstract & cite →

Wireless Sensor Networks (WNSs) load balancing PSO routing protocol low power devices

Abstract doi.org/10.14569/IJACSA.2020.0111269 PDF

70

Evaluation of Blockchain-based Data Sharing Acceptance among Intelligence Community

Author 1: Wan Nurhidayat Wan Muhamad Author 2: Noor Afiza Mat Razali Author 3: Muslihah Wook Author 4: Khairul Khalil Ishak Author 5: Norulzahrah Mohd Zainudin Author 6: Nor Asiakin Hasbullah Author 7: Suzaimah Ramli

Intelligence data are among the critical elements used as a reference for risk-assessment and decision-making regarding national security. The intelligence data are shared among intelligence agencies in the intelligence community in improving the efficiency of their services. Centralised data with central authority is highly exposed to being an easy target… Read full abstract & cite →

Technology acceptance model technology readiness index blockchain acceptance PLS-SEM data sharing

Abstract doi.org/10.14569/IJACSA.2020.0111270 PDF

71

Predicting Mental Illness using Social Media Posts and Comments

Author 1: Mohsin kamal Author 2: Saif Ur Rehman khan Author 3: Shahid Hussain Author 4: Anam Nasir Author 5: Khurram Aslam Author 6: Subhan Tariq Author 7: Mian Farhan Ullah

From the last decade, a significant increase of social media implications could be observed in the context of e-health. The medical experts are using the patient’s post and their feedbacks on social media platforms to diagnose their infectious diseases. However, there are only few studies who have leveraged the capabilities… Read full abstract & cite →

Machine learning mental disorders Reddit Schizophrenia Autism OCD PTSD

Abstract doi.org/10.14569/IJACSA.2020.0111271 PDF

72

You Aren’t Alone: Building Arabic Online Supporting Communities using Recommender System

Author 1: Monirah Alajlan Author 2: Nouf Alsuhaymi Author 3: Sara Alnasser Author 4: Abeer Almohaidib Author 5: Nouf Bin Slimah Author 6: Madawi Alruwaished Author 7: Najla Alosaimi

People are now digitally connected, making the world a single large community. This remarkable benefit has solved many communication issues. For instance, people who go through difficult times and lack the emotional support required to overcome these crises can now join an online support group. For many years, such people… Read full abstract & cite →

Emotional support recommender system classification support group

Abstract doi.org/10.14569/IJACSA.2020.0111272 PDF

73

Facebook Profile Credibility Detection using Machine and Deep Learning Techniques based on User’s Sentiment Response on Status Message

Author 1: Esraa A. Afify Author 2: Ahmed Sharaf Eldin Author 3: Ayman E. Khedr

Recently, the impact of online Social Networks sites (SNS) has dramatically changed, and fake accounts became a vital issue that has rapidly evolved. This issue gives rise to how to assess and measure the credibility of User-Generated Content (UGC). This content is used in finding trusted sources of information on… Read full abstract & cite →

Fake profiles detection credible profiles detection sentiment analysis supervised machine learning classifiers unsupervised machine learning binary classification deep learning neural network evaluation metrics

Abstract doi.org/10.14569/IJACSA.2020.0111273 PDF

74

Agent Mining Framework for Analyzing Moroccan Olive Oil Datasets

Author 1: Belabed Imane Author 2: Jaara El Miloud Author 3: Belabed Abdelmajid Author 4: Talibi Alaoui Mohammed

Data mining and intelligent agents have become two promising research areas. Each intelligent agent functions independently while cooperating with other agents, to perform effectively assigned tasks. The main goal of this research, is to provide a mining implementation that can help biological researchers for discovering parameters that affect the cost… Read full abstract & cite →

Quantitative association rules clustering of variables multi-agent system

Abstract doi.org/10.14569/IJACSA.2020.0111274 PDF

75

Development of Smart Healthcare System for Visually Impaired using Speech Recognition

Author 1: Khloud Almutairi Author 2: Ahmed Ismail Ebada Author 3: Samir Abdlerazek Author 4: Hazem Elbakry

This paper presents a solution for the Visually Impaired (VI) based on wearable devices. VI people need support or a guide to support them to locomote from one place to another. Using Wearables help users to achieve a great understanding of the surrounding environment. The proposed system is based on… Read full abstract & cite →

Personal assistance speech recognition visually impaired person assistant smart wearable device smart sensory system

Abstract doi.org/10.14569/IJACSA.2020.0111275 PDF

76

Medical Data Classification using Fuzzy Min Max Neural Network Preceded by Feature Selection through Moth Flame Optimization

Author 1: Ashish Kumar Dehariya Author 2: Pragya Shukla

Prediction of the diseases are possible using medical diagnosis system. This type of health care model can be developed using soft computing techniques. Hybrid approaches of data classification and optimization algorithm increases data classification accuracy. This research proposed applications of Moth Flame optimization (MFO) and Fuzzy Min Max Neural Network… Read full abstract & cite →

Moth flame optimization nature inspired optimization feature selection fitness function fuzzy min-max neural network

Abstract doi.org/10.14569/IJACSA.2020.0111276 PDF

77

A Preliminary Intergenerational Photo Conversation Support System based on Fine-tuning VGG16 Model

Author 1: Lei JIANG Author 2: Panote Siriaraya Author 3: Dongeun Choi Author 4: Noriaki Kuwahara

China has the largest number of elderly people in the world, young volunteers have become the main force in caring for the elderly. It is urgent to establish a photo conversation support system to build a bridge of communication between young volunteers and the elderly. Previous research generally used perceptual… Read full abstract & cite →

Intergenerational photo conversation support system TF-IDF VGG16 transfer learning fine-tune

Abstract doi.org/10.14569/IJACSA.2020.0111277 PDF

78

Performance Analysis of Advanced IoT Encryption on Serialization Concept: Application Optimization Approach

Author 1: Johan Setiawan Author 2: Muhammad Taufiq Nuruzzaman

This study investigates the effect of serialization concepts with cipher algorithms and block mode on structured data on execution time in low-level computing IoT devices. The research was conducted based on IoT devices, which are currently widely used in online transactions. The result of overheating on the CPU is fatal… Read full abstract & cite →

Internet of Things benchmark cipher block mode serialization

Abstract doi.org/10.14569/IJACSA.2020.0111278 PDF

79

An Iterative, Self-Assessing Entity Resolution System: First Steps toward a Data Washing Machine

Author 1: John R. Talburt Author 2: Awaad K. Al Sarkhi Author 3: Daniel Pullen Author 4: Leon Claassens Author 5: Richard Wang

Data curation is the process of acquiring multiple sources of data, assessing and improving data quality, standardizing, and integrating the data into a usable information product, and eventually disposing of the data. The research describes the building of a proof-of-concept for an unsupervised data curation process addressing a basic form… Read full abstract & cite →

Unsupervised entity resolution data curation frequency blocking entropy regulated data washing machine

Abstract doi.org/10.14569/IJACSA.2020.0111279 PDF

80

A Model for Traffic Management based on Text Mining Techniques

Author 1: Ahmed Ibrahim Naguib Author 2: Hala Abdel-Galil Author 3: Sayed AbdelGaber

It is very important for traffic management to be able to correctly recognize traffic trends from large historical traffic data, particularly the congestion pattern and road collisions. This can be used to reduce congestion, improve protection, and increase the accuracy of traffic forecasting. Choosing the correct and effective text mining… Read full abstract & cite →

Classification machine learning text mining traffic management

Abstract doi.org/10.14569/IJACSA.2020.0111280 PDF

81

Detection of nCoV-19 from Hybrid Dataset of CXR Images using Deep Convolutional Neural Network

Author 1: Muhammad Ahmed Zaki Author 2: Sanam Narejo Author 3: Sammer Zai Author 4: Urooba Zaki Author 5: Zarqa Altaf Author 6: Naseer u Din

The Corona-virus spreads too quickly among humans and reaches more than 72 million people around the world until now. To avoid spread, it is very important to recognize the individuals infected. The deep learning (DL) technique for the detection of patients with Corona-virus infection using Chest X-rays (CXR) images is… Read full abstract & cite →

COVID-19 artificial intelligence deep learning chest x-ray image analysis convolutional neural network InceptionV3

Abstract doi.org/10.14569/IJACSA.2020.0111281 PDF

82

Secure Software Engineering: A Knowledge Modeling based Approach for Inferring Association between Source Code and Design Artifacts

Author 1: Chaman Wijesiriwardana Author 2: Ashanthi Abeyratne Author 3: Chamal Samarage Author 4: Buddika Dahanayake Author 5: Prasad Wimalaratne

Secure software engineering has emerged in recent decades by encouraging the idea of software security has to be an integral part of all the phases of the software development lifecycle. As a result, each phase of the lifecycle is associated with security-specific best practices such as threat modeling and static… Read full abstract & cite →

Software security threat modeling knowledge mod-eling security flaws

Abstract doi.org/10.14569/IJACSA.2020.0111282 PDF

83

SDN based Intrusion Detection and Prevention Systems using Manufacturer Usage Description: A Survey

Author 1: Noman Mazhar Author 2: Rosli Salleh Author 3: Mohammad Asif Hossain Author 4: Muhammad Zeeshan

Internet of things (IoT) is an emerging paradigm that integrates several technologies. IoT network constitutes of many interconnected devices that include various sensors, actu-ators, services and other communicable objects. The increasing demand for IoT and its services have created several security vulnerabilities. Conventional security approaches like intrusion detection systems are… Read full abstract & cite →

Intrusion Detection and Prevention Systems (IDPS) Internet of Things (IoT) Software Defined Network (SDN) Machine Learning (ML) Deep learning (DL) Manufacturer Usage Description (MUD)

Abstract doi.org/10.14569/IJACSA.2020.0111283 PDF

84

Multi Modal RGB D Action Recognition with CNN LSTM Ensemble Deep Network

Author 1: D. Srihari Author 2: P. V. V. Kishore

Human action recognition has transformed from a video processing problem into multi modal machine learning problem. The objective of this work is to perform multi modal human action recognition on an ensemble hybrid network of CNN and LSTM layers. The proposed CNN - LSTM ensemble network is a 2 … Read full abstract & cite →

Human action recogniiton RGB D video data convolutional neural networks long short-term memory

Abstract doi.org/10.14569/IJACSA.2020.0111284 PDF

85

A Rule-based Approach toward Automating the Assessments of Academic Curriculum Mapping

Author 1: Abdullah Alshanqiti Author 2: Tanweer Alam Author 3: Mohamed Benaida Author 4: Abdallah Namoun Author 5: Ahmad Taleb

Curriculum mapping is the blueprint of a successful academic program. It is progressively utilised in higher education as a monitoring tool in the current age of standard-based regu-lations and empowers program leaders and course instructors to align their curricula for the offered courses and the corresponding learning outcomes. It is… Read full abstract & cite →

Rule based algorithm curriculum mapping student learning outcomes program outcomes assessment curriculum matrix

Abstract doi.org/10.14569/IJACSA.2020.0111285 PDF

86

Factors Influencing Computing Students’ Readiness to Online Learning for Understanding Software Engineering Foundations in Saudi Arabia

Author 1: Abdulaziz Alhubaishy

The spread of Coronavirus disease (COVID-19) has enforced most universities/institutions over the world to transform their educational models (face-to-face and blended) bearing in mind the online educational environments as a temporary substitute. Consequently, all universities/institutions in Saudi Arabia have requested their students to continue the learning process using online environments… Read full abstract & cite →

Readiness to online learning software-engineering education improving online learning university students

Abstract doi.org/10.14569/IJACSA.2020.0111286 PDF

87

Road Traffic Accidents Injury Data Analytics

Author 1: Mohamed K Nour Author 2: Atif Naseer Author 3: Basem Alkazemi Author 4: Muhammad Abid Jamil

Road safety researchers working on road accident data have witnessed success in road traffic accidents analysis through the application data analytic techniques, though, little progress was made into the prediction of road injury. This paper applies advanced data analytics methods to predict injury severity levels and evaluates their performance. The… Read full abstract & cite →

Traffic Accidents Analytics (RTA) data mining machine learning XGBOOST

Abstract doi.org/10.14569/IJACSA.2020.0111287 PDF

88

Analysis of National Cybersecurity Strategies

Author 1: Alexandra Santisteban Santisteban Author 2: Lilian Ocares Cunyarachi Author 3: Laberiano Andrade-Arenas

Nowadays the use of information and communica-tion technology has been incorporated in a general way in the daily life of a nation allowing the optimization in its processes. However, with it comes serious risks and threats that can affect cyber security because of the vulnerability they show. In addition, there… Read full abstract & cite →

Cybersecurity national strategies risks threats vulnerability

Abstract doi.org/10.14569/IJACSA.2020.0111288 PDF

89

A Big Data Framework for Satellite Images Processing using Apache Hadoop and RasterFrames: A Case Study of Surface Water Extraction in Phu Tho, Viet Nam

Author 1: Dung Nguyen Author 2: Hong Anh Le

Earth data, collected from many sources such as remote sensing imagery, social media, and sensors, are growing tremendously. Among them, satellite imagery which play an important roles for monitoring environment and natural changes are increased exponentially in term of both volume and speed. This paper introduces an approach to managing… Read full abstract & cite →

Satellite imagery big data water surface Apache Hadoop RasterFrames

Abstract doi.org/10.14569/IJACSA.2020.0111289 PDF

90

The Influence of Loss Function Usage at SIAMESE Network in Measuring Text Similarity

Author 1: Suprapto Author 2: Joseph A. Polela

In a text matching similarity task, a model takes two sequence of text as an input and predicts a category or scale value to show their relationship. A developed model is to measure the similarity - one of relationship between those two text. The model is SIAMESE network that implement… Read full abstract & cite →

Sentence similarity triplet contrastive CNN Siamese dataframe

Abstract doi.org/10.14569/IJACSA.2020.0111290 PDF

91

Comparative Evaluation of CNN Architectures for Image Caption Generation

Author 1: Sulabh Katiyar Author 2: Samir Kumar Borgohain

Aided by recent advances in Deep Learning, Image Caption Generation has seen tremendous progress over the last few years. Most methods use transfer learning to extract visual information, in the form of image features, with the help of pre-trained Convolutional Neural Network models followed by transformation of the visual information… Read full abstract & cite →

Convolutional Neural Network (CNN) image caption generation feature extraction comparison of different CNNs

Abstract doi.org/10.14569/IJACSA.2020.0111291 PDF

92

A Perceptual Matching based Deduplication Scheme using Gabor-ORB Filters for Medical Images

Author 1: Sonal Ayyappan Author 2: C Lakshmi

In the ever widening field of telemedicine, there is a greater need for intelligent methods to selectively choose data that are relevant enough to be transmitted over a network and checked remotely. By the very nature of medical imaging, a large amount of data is generated per imaging or scanning… Read full abstract & cite →

Perceptual matching ORB feature extraction Gabor filters MRI scan deduplication

Abstract doi.org/10.14569/IJACSA.2020.0111292 PDF

93

Post Classification in the Social Networks using the Map-reduce Algorithm

Author 1: Abdoulaye SERE Author 2: Jose Arthur OUEDRAOGO Author 3: Boureima ZERBO Author 4: Oumarou SIE

Wrongdoing is increasing through social media. Detecting them requires highlighting the most interesting topics in the posts. This essential part in the characterization of social network users could be done by a classification of posts. For this, we use a tuple of keywords and the Map-reduce algorithm for data collection… Read full abstract & cite →

Big Data map-reduce social network cyber-security classification

Abstract doi.org/10.14569/IJACSA.2020.0111293 PDF

94

Predicting Hospitals Hygiene Rate during COVID-19 Pandemic

Author 1: Abdulrahman M. Qahtani Author 2: Bader M. Alouffi Author 3: Hosam Alhakami Author 4: Samah Abuayeid Author 5: Abdullah Baz

COVID-19 pandemic has reached global attention with the increasing cases in the whole world. Increasing awareness for the hygiene procedures between the hospital’s staff, and the society became the main concern of the World Health Organization (WHO). However, the situation of COVID-19 Pan-demic has encouraged many researchers in different fields… Read full abstract & cite →

COVID-19 machine learning hospitals hygiene World Health Organization (WHO) personal protective equipment K-means clustering Naive Bayes random forest

Abstract doi.org/10.14569/IJACSA.2020.0111294 PDF

95

A Comparison of EDM Tools and Techniques

Author 1: Eman Alshehri Author 2: Hosam Alhakami Author 3: Abdullah Baz Author 4: Tahani Alsubait

Several higher educational institutions are adapting the strategy of predicting the student’s performance throughout the academic years. Such a practice ensures not only better academic outcomes but also helps the institutions to reorient their curriculums and teaching pedagogies so as to add to the students’ learning curve. Educational Data Mining… Read full abstract & cite →

Educational Data Mining (EDM) students’ performance prediction higher education WEKA

Abstract doi.org/10.14569/IJACSA.2020.0111295 PDF