IJACSA Vol. 11 Issue 11 (2020)

1

Classification of Imbalanced Datasets using One-Class SVM, k-Nearest Neighbors and CART Algorithm

Author 1: Maruthi Rohit Ayyagari

In this paper a new algorithm, OKC classifier is proposed that is a hybrid of One-Class SVM, k-Nearest Neighbours and CART algorithms. The performance of most of the classification algorithms is significantly influenced by certain characteristics of datasets on which these are modeled such as imbalance in class distribution, class… Read full abstract & cite →

SVM k-NN CART OKC classification machine learning

Abstract doi.org/10.14569/IJACSA.2020.0111101 PDF

2

Involving American Schools in Enhancing Children’s Digital Literacy and Raising Awareness of Risks Associated with Internet Usage

Author 1: Mohammed Tawfik Hussein Author 2: Reem M. Hussein

The purpose of this study is to shine the light on the importance of educating students on digital literacy and netiquette, for technology has become a common denominator in most of our tasks. This study is mostly concerned with involving schools in educating students on this matter since students spend… Read full abstract & cite →

Digital literacy e-learning internet risks online education and safety

Abstract doi.org/10.14569/IJACSA.2020.0111102 PDF

3

Detecting Spam in Twitter Microblogging Services: A Novel Machine Learning Approach based on Domain Popularity

Author 1: Khalid Binsaeed Author 2: Gianluca Stringhini Author 3: Ahmed E. Youssef

Detecting Internet malicious activities has been and continues to be a critical issue that needs to be addressed effectively. This is essential to protect our personal information, computing resources, and financial capitals from unsolicited actions, such as, credential information theft, downloading and installing malware, extortion, etc. The introduction of the… Read full abstract & cite →

Spam detection phishing detection domain popularity machine learning Twitter

Abstract doi.org/10.14569/IJACSA.2020.0111103 PDF

4

Critical Success Factors on the Implementation of ERP Systems: Building a Theoretical Framework

Author 1: Asimina Kouriati Author 2: Thomas Bournaris Author 3: Basil Manos Author 4: Stefanos A. Nastis

Existing pressure for the confrontation of a radically changing external environment has led many companies to invest in various Information Systems, such as Enterprise Resource Planning (ERP), in order to optimize their production processes and strategies. Despite the fact that ERP system is an important strategic tool, many companies fail… Read full abstract & cite →

Enterprise resource planning (ERP) ERP implementation critical success factors (CSFs) content analysis (CA) categorization theoretical framework

Abstract doi.org/10.14569/IJACSA.2020.0111104 PDF

5

Autoencoder based Semi-Supervised Anomaly Detection in Turbofan Engines

Author 1: Ali Al Bataineh Author 2: Aakif Mairaj Author 3: Devinder Kaur

This paper proposes a semi-supervised autoencoder based approach for the detection of anomalies in turbofan engines. Data used in this research is generated through simulation of turbofan engines created using a tool known as Commercial Modular Aero-Propulsion System Simulation (CMAPSS). C-MAPSS allows users to simulate various operational settings, environmental conditions… Read full abstract & cite →

Anomaly detection autoencoder bayesian hyperparameter tuning turbofan engine

Abstract doi.org/10.14569/IJACSA.2020.0111105 PDF

6

Definition of Unique Objects by Convolutional Neural Networks using Transfer Learning

Author 1: Rusakov K. D Author 2: Seliverstov D.E Author 3: Osipov V.V Author 4: Reshetnikov V.N

This article solves the problem of detecting medical masks on a person's face. Medical mask is one of the most effective measures to prevent infection with COVID-19, and its automatic detection is an actual task. The introduction of automatic recognition of medical masks in existing information security systems will allow… Read full abstract & cite →

Recognition of medical masks COVID-19 convolutional neural networks retina face Resnet

Abstract doi.org/10.14569/IJACSA.2020.0111106 PDF

7

Prelaunch Matching Architecture for Distributed Intelligent Image Recognition

Author 1: Anton Ivaschenko Author 2: Arkadiy Krivosheev Author 3: Pavel Sitnikov

The paper presents a multi-agent solution for dynamic combination of several artificial neural networks used for image recognition. As opposed to the existing methods there is introduced a dispatcher agent that provides prelaunch matching of possible pro-active identification algorithms through competition. The proposed solution was implemented to solve a problem… Read full abstract & cite →

Multi-agent technology artificial neural networks image recognition electricity meter data processing

Abstract doi.org/10.14569/IJACSA.2020.0111107 PDF

8

STEM-Technology Example of the Computational Problem of a Chain on a Cylinder

Author 1: Valery Ochkov Author 2: Konstantin Orlov Author 3: Evgeny Barochkin Author 4: Inna Vasileva Author 5: Evgeny Nikulchev

An application of the STEM technology to the computational problem of the parameters of a closed chain (with and without load) thrown over a horizontal cylinder is considered. The numerical solution is found and its graphical interpretation is made by compiling a system of transcendental equations, as well as carrying… Read full abstract & cite →

STEM technology math education closed chain Mathcad

Abstract doi.org/10.14569/IJACSA.2020.0111108 PDF

9

Recursive Least Square: RLS Method-Based Time Series Data Prediction for Many Missing Data

Author 1: Kohei Arai Author 2: Kaname Seto

Prediction methods for time series data with many missing data based on Recursive Least Square (RLS) method are proposed. There are two parameter tuning algorithms, time update and measurement update algorithms for parameter estimation of Kalman filter. Two learning methods for parameter estimation of Kalman filter are proposed based on… Read full abstract & cite →

Special Sensor Microwave/Imager (SSM/I) Defense Meteorological Satellite Program (DMSP) Kalman filter Recursive Least Square (RLS) method missing data parameter estimation

Abstract doi.org/10.14569/IJACSA.2020.0111109 PDF

10

Mapping Linguistic Variations in Colloquial Arabic through Twitter

Author 1: Abdulfattah Omar Author 2: Hamza Ethleb Author 3: Mohamed Elarabawy Hashem

The recent years have witnessed the development of different computational approaches to the study of linguistic variations and regional dialectology in different languages including English, German, Spanish and Chinese. These approaches have proved effective in dealing with large corpora and making reliable generalizations about the data. In Arabic, however, much… Read full abstract & cite →

Colloquial Arabic computational statistical model lexical patterns linguistic mapping principal component analysis (PCA)

Abstract doi.org/10.14569/IJACSA.2020.0111110 PDF

11

Implementation of Text Base Information Retrieval Technique

Author 1: Syed Ali Jafar Zaidi Author 2: Safdar Hussain Author 3: Samir Brahim Belhaouari

Everyone is in the need of accurate and efficient information retrieval in no time. Search engines are the main source to extract the required information, when a user search a query and wants to generate the results. Different search engines provide different Application Programming Interface (API) and Libraries to the… Read full abstract & cite →

Information retrieval sequence matcher method relevance feedback

Abstract doi.org/10.14569/IJACSA.2020.0111111 PDF

12

Single Modality-Based Event Detection Framework for Complex Videos

Author 1: Sheeraz Arif Author 2: Adnan Ahmed Siddiqui Author 3: Rajesh Kumar Author 4: Avinash Maheshwari Author 5: Komal Maheshwari Author 6: Muhammad Imran Saeed

Event detection of rare and complex events in large video datasets or in unconstrained user-uploaded videos on internet is a challenging task. The presence of irregular camera movement, viewpoint changes, illumination variations and significant changes in the background make extremely difficult to capture underlying motion in videos. In addition, extraction… Read full abstract & cite →

Event detection single-stream feature fusion temporal encoding

Abstract doi.org/10.14569/IJACSA.2020.0111112 PDF

13

An Efficient Domain-Adaptation Method using GAN for Fraud Detection

Author 1: Jeonghyun Hwang Author 2: Kangseok Kim

In this paper, an efficient domain-adaptation method is proposed for fraud detection. The proposed method employs the discriminative characteristics used in feature maps and generative adversarial networks (GANs), to minimize the deviation that occurs when a common feature is shifted between two domains. To solve class imbalance problem and increase… Read full abstract & cite →

Fraud detection domain adaptation data augmentation deep learning GAN

Abstract doi.org/10.14569/IJACSA.2020.0111113 PDF

14

Evaluation of Student Core Drives on e-Learning during the Covid-19 with Octalysis Gamification Framework

Author 1: Fitri Marisa Author 2: Sharifah Sakinah Syed Ahmad Author 3: Zeratul Izzah Mohd Yusoh Author 4: Anastasia L Maukar Author 5: Ronald David Marcus Author 6: Anang Aris Widodo

Learning activities during the Covid-19 pandemic were carried out with an online system even though in reality many institutions had not prepared their systems and infrastructure properly. Some e-learning media that are generally used based on survey results include 53.81% google classrooms combined with other applications that are not integrated… Read full abstract & cite →

Gamificaton education Covid-19 pandemic octalysis framework

Abstract doi.org/10.14569/IJACSA.2020.0111114 PDF

15

Covid-19 Ontology Engineering-Knowledge Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)

Author 1: Vinu Sherimon Author 2: Sherimon P.C Author 3: Renchi Mathew Author 4: Sandeep M. Kumar Author 5: Rahul V. Nair Author 6: Khalid Shaikh Author 7: Hilal Khalid Al Ghafri Author 8: Huda Salim Al Shuaily

COVID-19 pandemic has rapidly spread across the world since its arrival in December 2019 from Wuhan, China. This pandemic has disrupted the health of the citizens in such a way that the impact is enormous in terms of economy and social aspects. Education, employment, income, well-being of the humankind is… Read full abstract & cite →

COVID-19 ontology SARS-CoV-2 ontology reasoning SWRL SQWRL

Abstract doi.org/10.14569/IJACSA.2020.0111115 PDF

16

A Conceptual Data Modelling Framework for Context-Aware Text Classification

Author 1: Nazia Tazeen Author 2: K. Sandhya Rani

Data analytics has an interesting variant that aims to understand an entity's behavior. It is termed as diagnostic analytics, which answers “why type questions”. “Why type questions” find their applications in emotion classification, brand analysis, drug review modeling, customer complaints classification etc. Labeled data form the core of any analytics'… Read full abstract & cite →

Text classification topic modeling natural language processing sentiment analysis drug dataset context-aware model diagnostic analytics feature extraction

Abstract doi.org/10.14569/IJACSA.2020.0111116 PDF

17

Smart Start and HER for a Directed and Persistent Reinforcement Learning Exploration in Discrete Environment

Author 1: Heba Alrakh Author 2: Muhammad Fahmi Miskon Author 3: Rozilawati Mohd Nor

Reinforcement learning (RL) solves sequential decision making problems through trial and error, through experiences can be amassed to achieve goals and increase the accumulative rewards. Exploration-exploitation dilemma is a critical challenge in reinforcement learning, particularly environments with misleading or sparse rewards which have shown difficulties to construct a suitable exploration… Read full abstract & cite →

Reinforcement learning hindsight experience replay smart start limit search space exploration-exploitation trade off

Abstract doi.org/10.14569/IJACSA.2020.0111117 PDF

18

Implementation of Low Cost Remote Primary Healthcare Services through Telemedicine: Bangladesh Perspectives

Author 1: Uzzal Kumar Prodhan Author 2: Tushar Kanti Saha Author 3: Rubya Shaharin Author 4: Toufik Ahmed Emon Author 5: Mohammad Zahidur Rahman

In this paper, we have implemented a low cost primary healthcare service for the remote rural people of Bangladesh. These services were delivered through our developed advanced telemedicine model. The main aim of this paper is to provide basic healthcare service through the developed low cost hardware. We have developed… Read full abstract & cite →

Raspberry PI DGHS Arduino Portable ECG SPO2

Abstract doi.org/10.14569/IJACSA.2020.0111118 PDF

19

Towards a Standardization of Learning Behavior Indicators in Virtual Environments

Author 1: Benjamin Maraza-Quispe Author 2: Olga Melina Alejandro-Oviedo Author 3: Walter Choquehuanca-Quispe Author 4: Nicolas Caytuiro-Silva Author 5: Jose Herrera-Quispe

The need to analyze student interactions in virtual learning environments (VLE) and the improvements this generates is an increasingly emerging reality in order to make timely predictions and optimize student learning. This research aims to implement a proposal of standardized learning behavior indicators in virtual learning environments (VLE) to design… Read full abstract & cite →

Indicators behavior learning analytical environments virtual

Abstract doi.org/10.14569/IJACSA.2020.0111119 PDF

20

Ensemble Learning for Rainfall Prediction

Author 1: Nor Samsiah Sani Author 2: Abdul Hadi Abd Rahman Author 3: Afzan Adam Author 4: Israa Shlash Author 5: Mohd Aliff

Climate change research is a discipline that analyses the varying weather patterns for a particular period of time. Rainfall forecasting is the task of predicting particular future rainfall amount based on the measured information from the past, including wind, humidity, temperature, and so on. Rainfall forecasting has recently been the… Read full abstract & cite →

Ensemble learning classification rainfall prediction machine learning

Abstract doi.org/10.14569/IJACSA.2020.0111120 PDF

21

Presenting and Evaluating Scaled Extreme Programming Process Model

Author 1: Muhammad Ibrahim Author 2: Shabib Aftab Author 3: Munir Ahmad Author 4: Ahmed Iqbal Author 5: Bilal Shoaib Khan Author 6: Muhammad Iqbal Author 7: Baha Najim Salman Ihnaini Author 8: Nouh Sabri Elmitwally

Extreme programming (XP) is one of the widely used software process model for the development of small scale projects from agile family. XP is widely accepted by software industry due to various features it provides such as: handling frequent changing requirements, customer satisfaction, rapid feedback, iterative structure, team collaboration, and… Read full abstract & cite →

Extreme Programming Process Model XP modified XP scaled XP customized XP empirical comparison empirical analysis

Abstract doi.org/10.14569/IJACSA.2020.0111121 PDF

22

Measuring Impact of Traffic Parameters in Adaptive Signal Control through Microscopic Simulation

Author 1: Fatin Ayuni Bt Aminzal Author 2: Munzilah Binti Md Rohani

This paper aims to exploit the traffic parameters setting in adaptive traffic control. In this study, is known as Dynamic Timing Optimiser (DTO). DTO is an online algorithm, uses real-time optimisation in estimating cycle length according to fluctuations arrival flow registered from the detector. DTO cycle time estimation is also… Read full abstract & cite →

Adaptive signal control optimal cycle length saturation flow rate lost time microsimulation

Abstract doi.org/10.14569/IJACSA.2020.0111122 PDF

23

An Extreme Learning Machine Model Approach on Airbnb Base Price Prediction

Author 1: Fikri Nurqahhari Priambodo Author 2: Agus Sihabuddin

The base price of Airbnb properties prediction is still a new area of prediction research, especially with the Extreme Learning Machine (ELM). The previous studies had several suggestions for the advantages of ELM, such as good generalization performance, fast learning speed, and high prediction accuracy. This paper proposes how the… Read full abstract & cite →

Airbnb base price prediction extreme learning machine fast learning

Abstract doi.org/10.14569/IJACSA.2020.0111123 PDF

24

ITTP-PG: A Novel Grouping Technique to Enhance VoIP Service Bandwidth Utilization

Author 1: Mayy Al-Tahrawi Author 2: Mosleh Abulhaj Author 3: Yousef Alrabanah Author 4: Sumaya N. Al-Khatib

Recently, the field of telecommunications started to migrate to Voice over Internet Protocol (VoIP) service. VoIP service applications produce packets with short payload sizes to reduce packetization delay. That is, increasing the preamble size and expends the network link bandwidth. Packet grouping is a technique to enhance the employment of… Read full abstract & cite →

Voice over Internet Protocol (VoIP) Internet Telephony Transport Protocol (ITTP) packet grouping network bandwidth

Abstract doi.org/10.14569/IJACSA.2020.0111124 PDF

25

Improving Intelligent Personality Prediction using Myers-Briggs Type Indicator and Random Forest Classifier

Author 1: Nur Haziqah Zainal Abidin Author 2: Muhammad Akmal Remli Author 3: Noorlin Mohd Ali Author 4: Danakorn Nincarean Eh Phon Author 5: Nooraini Yusoff Author 6: Hasyiya Karimah Adli Author 7: Abdelsalam H Busalim

The term “personality” can be defined as the mixture of features and qualities that built an individual's distinctive characters, including thinking, feeling and behaviour. Nowadays, it is hard to select the right employees due to the vast pool of candidates. Traditionally, a company will arrange interview sessions with prospective candidates… Read full abstract & cite →

Machine learning random forest Myers–Briggs Type Indicator® (MBTI) personality prediction random forest classifier social media Twitter user

Abstract doi.org/10.14569/IJACSA.2020.0111125 PDF

26

The Development of Parameter Estimation Method for Chinese Hamster Ovary Model using Black Widow Optimization Algorithm

Author 1: Nurul Aimi Munirah Author 2: Muhammad Akmal Remli Author 3: Noorlin Mohd Ali Author 4: Hui Wen Nies Author 5: Mohd Saberi Mohamad Author 6: Khairul Nizar Syazwan Wan Salihin Wong

Chinese Hamster Ovary (CHO) cells are very famous in biological and medical research, especially in the protein production industry. It is because the characteristic of the cells with low chromosome numbers make it suitable for genetic study. However, all the data tends to be noisy and not fit. That is… Read full abstract & cite →

Chinese Hamster Ovary Black Widow optimization metaheuristic parameter estimation genetic study

Abstract doi.org/10.14569/IJACSA.2020.0111126 PDF

27

Self-Organizing Map based Wallboards to Interpret Sudden Call Hikes in Contact Centers

Author 1: Samaranayaka J. R. A. C. P Author 2: Prasad Wimalaratne

In a contact center, it is required to foresee and excavate any disturbance to the daily experiencing call pattern. Abnormal call pattern may be a result of a sudden change in the organization’s external world. Expecting a methodological analysis prior to meet customers’ demand may introduce a delay for queuing… Read full abstract & cite →

Multidimensional data visualization contact centers self-organizing map clustering

Abstract doi.org/10.14569/IJACSA.2020.0111127 PDF

28

SDCT: Multi-Dialects Corpus Classification for Saudi Tweets

Author 1: Afnan Bayazed Author 2: Ola Torabah Author 3: Redha AlSulami Author 4: Dimah Alahmadi Author 5: Amal Babour Author 6: Kawther Saeedi

There is an increasing demand for analyzing the contents of social media. However, the process of sentiment analysis in Arabic language especially Arabic dialects can be very complex and challenging. This paper presents details of collecting and constructing a classified corpus of 4180 multi-dialectal Saudi tweets (SDCT). The tweets were… Read full abstract & cite →

Arabic dialects dialects classification language classification natural language processing Saudi dialects sentiment analysis Twitter

Abstract doi.org/10.14569/IJACSA.2020.0111128 PDF

29

Using Interdependencies for the Prioritization and Reprioritization of Requirements in Incremental Development

Author 1: Aryaf Al-Adwan Author 2: Anaam Aladwan

There is a growing trend to develop and deliver the software in an incremental manner; to achieve greater consistency in the developed software and better customer satisfaction during the requirement engineering process. Some of the developed increments in the incremental model will be delivered to consumers and run in their… Read full abstract & cite →

Requirement engineering incremental model requirement prioritization requirement interdependencies dependency graph queuing theory

Abstract doi.org/10.14569/IJACSA.2020.0111129 PDF

30

A Novel Geometrical Scale and Rotation Independent Feature Extraction Technique for Multi-lingual Character Recognition

Author 1: Narasimha Reddy Soora Author 2: Ehsan Ur Rahman Mohammed Author 3: Sharfuddin Waseem Mohammed

This paper presents a novel geometrical scale and rotation independent feature extraction (FE) technique for multi-lingual character recognition (CR). The performance of any CR techniques mainly depends on the robustness of the proposed FE methods. Currently, there are very few scale and rotation independent FE techniques present in the literature… Read full abstract & cite →

Feature extraction character recognition crossing count features edit distance scale and rotation independent feature extraction

Abstract doi.org/10.14569/IJACSA.2020.0111130 PDF

31

Harmonic Mean based Classification of Images using Weighted Nearest Neighbor for Tagging

Author 1: Anupama D. Dondekar Author 2: Balwant A. Sonkamble

On image sharing websites, the images are associated with the tags. These tags play a very important role in an image retrieval system. So, it is necessary to recommend accurate tags for the images. Also, it is very important to design and develop an effective classifier that classifies images into… Read full abstract & cite →

Image classification k-nearest neighbor weighted nearest neighbor harmonic mean vector color and texture features

Abstract doi.org/10.14569/IJACSA.2020.0111131 PDF

32

A Design Study to Improve user Experience of a Procedure Booking Software in Healthcare

Author 1: Hanaa Abdulkareem Alzahrani Author 2: Reem Abdulaziz Alnanih

In the era of technology-driven healthcare delivery and the proliferation of e-health systems, procedure booking software is becoming common. Procedure booking software (PBS) affects healthcare delivery by improving health care efficiency and outcomes, while cutting costs. Therefore, poor software design for PBS, especially if it is designed for important and… Read full abstract & cite →

Procedure booking software health systems design tool cardiac catheterization user experience usability evaluation system usability scale

Abstract doi.org/10.14569/IJACSA.2020.0111132 PDF

33

Validation Analysis of Scalable Vector Graphics (SVG) File Upload using Magic Number and Document Object Model (DOM)

Author 1: Fahmi Anwar Author 2: Abdul Fadlil Author 3: Imam Riadi

The use of technology is increasing rapidly, such as applications or services connected to the Internet. Security is considered necessary because of the growing and increasing use of digital systems. With the number of threats to attacks on digital form or server systems is required to handle the risk of… Read full abstract & cite →

Magic number Scalable Vector Graphics (SVG) security upload validation

Abstract doi.org/10.14569/IJACSA.2020.0111133 PDF

34

A Pilot Study of an Instrument to Assess Undergraduates’ Computational thinking Proficiency

Author 1: Debby Erce Sondakh Author 2: Kamisah Osman Author 3: Suhaila Zainudin

The potentiality of computational thinking (CT) in problem solving has gained much attention in academic communities. This study aimed at developing and validating an instrument, called Hi-ACT, to assess CT ability of university undergraduates. The Hi-ACT evaluates both technical and soft skills applicable to CT based problem solving. This paper… Read full abstract & cite →

Computational thinking assessment skills attitudes undergraduates self-assessment

Abstract doi.org/10.14569/IJACSA.2020.0111134 PDF

35

Optimize the Combination of Categorical Variable Encoding and Deep Learning Technique for the Problem of Prediction of Vietnamese Student Academic Performance

Author 1: Do Thi Thu Hien Author 2: Cu Thi Thu Thuy Author 3: Tran Kim Anh Author 4: Dao The Son Author 5: Cu Nguyen Giap

Deep learning techniques have been successfully applied in many technical fields such as computer vision and natural language processing, and recently researchers have paid much attention to the application of this technology in socio-economic problems including the student academic performance prediction (SAPP) problem. In this specialization, this study focusses on… Read full abstract & cite →

Deep learning techinique categorical data type “learned” embedding encoding student academic performance prediction

Abstract doi.org/10.14569/IJACSA.2020.0111135 PDF

36

Conceptual Model for Connected Vehicles Safety and Security using Big Data Analytics

Author 1: Noor Afiza Mat Razali Author 2: Nuraini Shamsaimon Author 3: Muslihah Wook Author 4: Khairul Khalil Ishak

The capability of Connected Vehicles (CVs) connecting to a nearby vehicle, surrounding infrastructure and cyberspace presents a high risk in the aspect of safety and security of the CV and others. Data volume generated from the sensors and infrastructure in CVs environment are enormous. Thus, CVs implementations require a real-time… Read full abstract & cite →

Connected vehicles safety and security monitoring collision prediction congestion prediction machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2020.0111136 PDF

37

A New Hybrid KNN Classification Approach based on Particle Swarm Optimization

Author 1: Reem Kadry Author 2: Osama Ismael

K-Nearest Neighbour algorithm is widely used as a classification technique due to its simplicity to be applied on different types of data. The presence of multidimensional and outliers data have a great effect on the accuracy of the K-Nearest Neighbour algorithm. In this paper, a new hybrid approach called Particle… Read full abstract & cite →

K-nearest neighbour outlier multidimensional particle swarm optimization scored k-nearest neighbour

Abstract doi.org/10.14569/IJACSA.2020.0111137 PDF

38

An Effective Heuristic Method to Minimize Makespan and Flow Time in a Flow Shop Problem

Author 1: Miguel Fernandez Author 2: Avid Roman-Gonzalez

In this paper, it is presented a heuristic method for solving the multi-objective flow shop problem. The work carried out considers the simultaneous optimization of the makespan and the flow time; both objectives are essential in measuring the production system's performance since they aim to reduce the completion time of… Read full abstract & cite →

Flow shop problem multi-objective optimization non-dominated solution

Abstract doi.org/10.14569/IJACSA.2020.0111138 PDF

39

Level of Budget Execution According to the Professional Profile of Regional Governors Applying Machine Learning Models

Author 1: Jose Luis Morales Rocha Author 2: Mario Aurelio Coyla Zela Author 3: Nakaday Irazema Vargas Torres Author 4: Jarol Teofilo Ramos Rojas Author 5: Daniel Quispe Mamani Author 6: Jose Oscar Huanca Frias

Machine Learning is a discipline of artificial intelligence that implements computer systems capable of learning complex patterns automatically and predicting future behaviors. The objective was to implement a Machine Learning model that allows to identify, classify and predict the influence of the professional training of the governors in the execution… Read full abstract & cite →

Machine learning multiple regression professional experience university studies public budget governor public spending

Abstract doi.org/10.14569/IJACSA.2020.0111139 PDF

40

Investigating Students’ Computational Thinking Skills on Matter Module

Author 1: Noraini Lapawi Author 2: Hazrati Husnin

The revolution of the fourth industrial has impacted most aspect of our life and demanding a paradigm shift including education. It has become to our attention that there is a need to inculcate complex problem-solving skills among youth to equipped them to face the challenges in the era of digital… Read full abstract & cite →

Computational thinking skills problem solving skill teaching and learning decomposition evaluation algorithm science module matter secondary level students

Abstract doi.org/10.14569/IJACSA.2020.0111140 PDF

41

Analysis of Steganographic on Digital Evidence using General Computer Forensic Investigation Model Framework

Author 1: Muh. Hajar Akbar Author 2: Sunardi Author 3: Imam Riadi

Steganography is one of the anti-forensic techniques used by criminals to hide information in other messages which can cause problems in the investigation process and difficulties in obtaining original information evidence on the digital crime. Digital forensic analysts are required ability to find and extract the messages that have been… Read full abstract & cite →

Steganography anti forensics general computer forensic investigation model hiderman

Abstract doi.org/10.14569/IJACSA.2020.0111141 PDF

42

Multi-Verse Algorithm based Approach for Multi-criteria Path Planning of Unmanned Aerial Vehicles

Author 1: Raja Jarray Author 2: Soufiene Bouallegue

In this paper, a method based on a Multiobjective Multi-Verse Optimizer (MOMVO) is proposed and successfully implemented to solve the unmanned aerial vehicles’ path planning problem. The generation of each coordinate of the aircraft is reformulated as a multiobjective optimization problem under operational constraints. The shortest and smoothest path by… Read full abstract & cite →

Unmanned aerial vehicles path planning problem multiobjective optimization multiobjective multi-verse algorithm decision-making model nonparametric statistical tests

Abstract doi.org/10.14569/IJACSA.2020.0111142 PDF

43

Process Level Social Media Business Value Configuration of SMEs in Saudi Arabia

Author 1: Anwar Shams Eldin Author 2: Awadia Elnour Author 3: Rugaia Hassan

The key enabler of strategic design based on IT is process level value; however, few researchers have tackled the mechanisms through which small and medium-sized enterprises (SMEs) can create value at the process level. This study sheds light on the mechanism of creating social media business value at the process… Read full abstract & cite →

Interaction effects of social media and IT resources process level SMEs social media business value social media capabilities management’s commitment to innovation

Abstract doi.org/10.14569/IJACSA.2020.0111143 PDF

44

Recent Progress of Blockchain Initiatives in Government

Author 1: Faizura Haneem Author 2: Hussin Abu Bakar Author 3: Nazri Kama Author 4: Nik Zalbiha Nik Mat Author 5: Razatulshima Ghazali Author 6: Yasir Mahmood

Blockchain is a decentralized and distributed ledger technology that aims to ensure transparency, data security, and integrity. There are rising interest and investment by the governments and industries in Blockchain to deliver significant cost savings and increase efficiency. Identifying Blockchain initiatives that are currently implemented in the government world-wide could… Read full abstract & cite →

Blockchain initiatives governments review

Abstract doi.org/10.14569/IJACSA.2020.0111144 PDF

45

Voice-Disorder Identification of Laryngeal Cancer Patients

Author 1: G. B. Gour Author 2: V.Udayashankara Author 3: Dinesh K. Badakh Author 4: Yogesh A Kulkarni

This Previous studies have shown that much of laryngeal cancer-based work was carried out with a minimal set of linear features. Much of the work was focused on the study of larynx preservation, quality of life around radiotherapy, or surgery. The voice disorder database was not solely limited to laryngeal… Read full abstract & cite →

Support Vector Machine (SVM) random forest Mel Frequency Cepstral Coefficients (MFCC) voice disorder detection laryngeal cancer non-linear features

Abstract doi.org/10.14569/IJACSA.2020.0111145 PDF

46

An Improved Time-Based One Time Password Authentication Framework for Electronic Payments

Author 1: Md Arif Hassan Author 2: Zarina Shukur Author 3: Mohammad Kamrul Hasan

One-time Password is important in present day scenario in the purposes of improving the security of electronic payments. Security sensitive environment or perhaps organization avoid the resources from unauthorized access by allowing different access control mechanism as user authentication. There are several safety issues in one Password based authentication. However… Read full abstract & cite →

Electronic payments One Time Password (OTP) Quick Response (QR) code Time based One Time Password (TOTP)

Abstract doi.org/10.14569/IJACSA.2020.0111146 PDF

47

An Efficient Digital Space Vector PWM Module for 3-φ Voltage Source Inverter (VSI) on FPGA

Author 1: Shalini Vashishtha Author 2: Rekha K.R

The realization of digital control circuitry based PWM strategies provides many advantages. It includes better prototyping, higher switching frequency, simple hardware, and flexibility by overcoming the limitations of analog control strategies. In this article, The Digital space vector-based Pulse width Modulation ((DSV-PWM) is designed. The DSV-PWM Module includes, mainly, Xdq… Read full abstract & cite →

Digital space vector PWM 3-phase voltage source inverter sector generation module switching time generation FPGA Verilog-HDL Xilinx

Abstract doi.org/10.14569/IJACSA.2020.0111147 PDF

48

Lung Cancer Detection using Bio-Inspired Algorithm in CT Scans and Secure Data Transmission through IoT Cloud

Author 1: C. Venkatesh Author 2: Polaiah Bojja

Primary recognition of pulmonary cancer nodules eloquently increases the odds of survival, also leads it solider problem to resolve, as it often relies on a tomography scan filmic examination. By increasing the possibility of effective treatment, earlier tumor diagnosis decreases lung cancer mortality. Radiologists usually diagnose lung cancer on medical… Read full abstract & cite →

Pulmonary mortality carcinogenic swarm intelligence IoT

Abstract doi.org/10.14569/IJACSA.2020.0111148 PDF

49

Liver Tumor Segmentation using Superpixel based Fast Fuzzy C Means Clustering

Author 1: Munipraveena Rela Author 2: Suryakari Nagaraja Rao Author 3: Patil Ramana Reddy

In computer aided diagnosis of liver tumor detection, tumor segmentation from the CT image is an important step. The majority of methods are not able to give an integrated structure for finding fast and effective tumor segmentation. Hence segmentation of tumor is most difficult task in diagnosing. In this paper… Read full abstract & cite →

CT scan image image segmentation fuzzy c mean clustering liver mask superpixel image

Abstract doi.org/10.14569/IJACSA.2020.0111149 PDF

50

RHEM: A Robust Hybrid Ensemble Model for Students’ Performance Assessment on Cloud Computing Course

Author 1: Sapiah Sakri Author 2: Ala Saleh Alluhaidan

Creating tools, such as a prediction model to assist students in a traditional or virtual setting, is an essential activity in today's educational climate. The early stage towards incorporating these predictive models using techniques of machine learning focused on predicting the achievement of students in terms of the grades obtained… Read full abstract & cite →

Academic performance classification algorithms cloud computing course ensemble algorithms hybrid ensemble classifier model student academic performance tracking

Abstract doi.org/10.14569/IJACSA.2020.0111150 PDF

51

An Ontology-Based Predictive Maintenance Tool for Power Substation Faults in Distribution Grid

Author 1: Moamin A. Mahmoud Author 2: Alicia Y.C. Tang Author 3: Kuganesan Kumar Author 4: Nur Liyana Law Mohd Firdaus Law Author 5: Mathuri Gurunathan Author 6: Durkasiny Ramachandran

Recent advances in Power Grid (PG) technology pose an important problem of measuring the effectiveness of power grid configurations. Current assessment models are not adequate to mitigate the setup issues due to the absence of a high-fidelity evaluation framework that can consider diverse scenarios based on the market interest. Consequently… Read full abstract & cite →

Predictive maintenance ontology power substation faults distribution grid

Abstract doi.org/10.14569/IJACSA.2020.0111151 PDF

52

Home Security System with Face Recognition based on Convolutional Neural Network

Author 1: Nourman S. Irjanto Author 2: Nico Surantha

Security of house doors is very important and becomes the basis for the simplest and easiest security and sufficient to provide a sense of security to homeowners and along with technological developments, especially in the IoT field, which makes technological developments in locking house doors have developed a lot like… Read full abstract & cite →

Home door security CNN Alexnet facial recognition Raspberry Pi

Abstract doi.org/10.14569/IJACSA.2020.0111152 PDF

53

The Relationship of Trustworthiness and Ethical Value in the Healthcare System

Author 1: Rajes Khana Author 2: Manmeet Mahinderjit Singh Author 3: Faten Damanhoori Author 4: Norlia Mustaffa

Females prefer discovering social media or healthcare systems to finding information and presenting their cases with any physician; however, the behavior of physicians tends to be uncontrollable on the healthcare system. Physicians have the capacity to share all of their patients’ information with their colleagues without any permission or concern… Read full abstract & cite →

Ethics ethical value trustworthiness breast self-examination healthcare system social media

Abstract doi.org/10.14569/IJACSA.2020.0111153 PDF

54

Examining the Effect of Online Gaming Addiction on Adolescent Behavior

Author 1: Maha AlDwehy Author 2: Hedia Zardi

It exceeds daily rates of Internet use among adolescents compared to adults’ use of the Internet, as it was monitored that the number of adolescents on the Internet is increasing all over the world. Today, as a result of the ease of access to the Internet in the world, most… Read full abstract & cite →

Online gaming addiction adolescent behavior on internet privacy

Abstract doi.org/10.14569/IJACSA.2020.0111154 PDF

55

BOTNETs: A Network Security Issue

Author 1: Umar Iftikhar Author 2: Kashif Asrar Author 3: Maria Waqas Author 4: Syed Abbas Ali

With the technological advancements in the field of networking and information technology in general, organizations are enjoying the technological blessings and simultaneously under perpetual threats that are present in the form of attacks, designed especially to disable organizations and their infrastructure, as the gravest cyber threats in recent times. Compromised… Read full abstract & cite →

BOTNET malware drones zombies threats

Abstract doi.org/10.14569/IJACSA.2020.0111155 PDF

56

Assessment of Surface Water Quality on the Upper Watershed of Huallaga River, in Peru, using Grey Systems and Shannon Entropy

Author 1: Alexi Delgado Author 2: Jharison Vidal Author 3: Jhon Castro Author 4: Jhonel Felix Author 5: Jorge Saenz

The assessment of the quality of surface water is a complex issue that entails the comprehensive analysis of several parameters that are altered by natural or man-made causes. In this sense, the Grey Clustering method, which is based on Grey Systems theory, and Shannon Entropy, based on the artificial intelligence… Read full abstract & cite →

Grey clustering Huallaga river Prati index Shannon entropy water quality

Abstract doi.org/10.14569/IJACSA.2020.0111156 PDF

57

Supplier Qualification Model (SQM): A Quantitative Model for Supplier Agreements Evaluation

Author 1: Mohammed Omar Author 2: Yehia Helmy Author 3: Ahmed Bahaa Farid

Recently software outsourcing has increasingly widespread due to the valuable economical and technical benefits it introduced to the software development industry. Where the software development organizations adopt a third party to acquire a software project component (product, service). In the acquisition, process companies rely on the CMMI supplier agreement management… Read full abstract & cite →

Agile practices vendor selection CMMI outsourcing software acquisition supplier agreement management supplier selection supplier evaluation

Abstract doi.org/10.14569/IJACSA.2020.0111157 PDF

58

Feature-Based Sentiment Analysis for Arabic Language

Author 1: Ghady Alhamad Author 2: Mohamad-Bassam Kurdy

In light of the spread of e-commerce and e-marketing, and the presence of a huge number of reviews and texts written by people to share views on products, it became necessary to give attention to extracting these opinions automatically and analyzing the feelings of the reviewers. The goal is to… Read full abstract & cite →

Sentiment analysis feature-based colloquial Arabic opinion mining natural language processing

Abstract doi.org/10.14569/IJACSA.2020.0111158 PDF

59

Permission Extraction Framework for Android Malware Detection

Author 1: Ali Ghasempour Author 2: Nor Fazlida Mohd Sani Author 3: Ovye John Abari

Nowadays, Android-based devices are more utilized than other Operating Systems based devices. Statistics show that the market share for android on mobile devices in March 2018 is 84.8 percent as compared with only 15.1 percent iOS. These numbers indicate that most of the attacks are subjected to Android devices. In… Read full abstract & cite →

Malware detection android device operating system malicious application machine learning

Abstract doi.org/10.14569/IJACSA.2020.0111159 PDF

60

Performance Impact of Genetic Operators in a Hybrid GA-KNN Algorithm

Author 1: Raghad Sehly Author 2: Mohammad Mezher

Diabetes is a chronic disease caused by a deficiency of insulin that is prevalent around the world. Although doctors diagnose diabetes by testing glucose levels in the blood, they cannot determine whether a person is diabetic on this basis alone. Classification algorithms are an immensely helpful approach to accurately predicting… Read full abstract & cite →

Data mining classification K-NN GA Pima Indian Diabetes Dataset UCI

Abstract doi.org/10.14569/IJACSA.2020.0111160 PDF

61

Enhanced Method to Stream Real Time Data in IoT using Dynamic Voltage and Frequency Scaling with Memory

Author 1: H. A. Hashim

DVFS (Dynamic Voltage and Frequency Scaling) is a popular CPU (Central Processing Unit) level voltage frequency scale technology based on the application precedence. To motivate recurrence / voltage scaling as a feasible tool for energy productivity, i) basic workloads should ensure that memory recurrence scaling has an impact with insignificant… Read full abstract & cite →

Dynamic voltage frequency scaling central processing unit

Abstract doi.org/10.14569/IJACSA.2020.0111161 PDF

62

Energy Efficient Cluster based Routing Protocol with Secure IDS for IoT Assisted Heterogeneous WSN

Author 1: Sultan Alkhliwi

Currently, wireless sensor networks (WSNs) and the Internet of Things (IoT) have become useful in a wide range of applications. The nodes in IoT assisted WSN commonly operate on restricted battery units, meaning energy efficiency is a major design issue. Clustering and route selection processes are commonly utilized energy-efficient techniques… Read full abstract & cite →

Wireless Sensor Networks (WSN) Clustering Routing Type II fuzzy logic salp swarm algorithm long short-term memory (LSTM)

Abstract doi.org/10.14569/IJACSA.2020.0111162 PDF

63

Moment Features based Violence Action Detection using Optical Flow

Author 1: A F M Saifuddin Saif Author 2: Zainal Rasyid Mahayuddin

Instantaneous detection of violence is still an unsolved research problem although artificial intelligence lives its prosperous years. The severity of injury causes due to violence can be minimized by detecting violence in real time demands for effective violence detection. Various methods were previously proposed for violence detection which could not… Read full abstract & cite →

Violence detection feature extraction classification optical flow

Abstract doi.org/10.14569/IJACSA.2020.0111163 PDF

64

Object based Image Splicing Localization using Block Artificial Grids

Author 1: P N R L Chandra Sekhar Author 2: T N Shankar

People share pictures freely with their loved ones and others using smartphones or social networking sites. The news industry and the court of law use the pictures as evidence for their investigation. Simultaneously, user-friendly photo editing tools alter the content of pictures and make their validity ques-tionable. Over two decades… Read full abstract & cite →

Image forensics splicing localization block artifi-cial grids object segmentation double compression

Abstract doi.org/10.14569/IJACSA.2020.0111164 PDF

65

Multi-Channel Muscle Armband Implementation: Electronic Circuit Validation and Considerations towards Medical Device Regulation Assessment

Author 1: Martha Rocio Gonzales Loli Author 2: Elsa Regina Vigo Ayasta Author 3: Leyla Agueda Cavero Soto Author 4: Jose Albites-Sanabria

Multi-channel muscle arrays are commonly used as sensors in bionic prosthetic devices offering an innovative solution to recover motion in transradial amputees. This study presents preliminary assessments towards validation of a muscle armband for usage in transradial users. Analog and digital components were designed based on medical agencies’ recommendations to… Read full abstract & cite →

Component muscle armband surface electromyography medical device regulation transradial users

Abstract doi.org/10.14569/IJACSA.2020.0111165 PDF

66

A Novel Machine Learning based Model for COVID-19 Prediction

Author 1: Tamer Sh. Mazen

Since end of 2019, the World Health Organization (WHO) provided the name COVID-19 for the disease caused by the novel coronavirus. Coronavirus is a family of viruses that are named according to the spiky crown existed on the outer surface of the virus. The novel coronavirus, also known as SARS-CoV-2… Read full abstract & cite →

Coronavirus COVID-19 coronavirus in Egypt supervised machine learning regression models

Abstract doi.org/10.14569/IJACSA.2020.0111166 PDF

67

COVID-19 Transmission Risks Assessment using Agent-Based Weighted Clustering Approach

Author 1: P. Vidya Sagar Author 2: T. Pavan Kumar Author 3: G. Krishna Chaitanya Author 4: Moparthi Nageswara Rao

Coronavirus is a pandemic disease spreading from human-to-human rapidly all over the world. This virus is origin from common cold to severe disease such as MERS-CoV and SARS-CoV. Initially it was identified in China, December 2019. The main aim of this research is used to identify the COVID-19 transmission risks… Read full abstract & cite →

COVID-19 machine learning weighted clustering malicious node susceptible node head trust

Abstract doi.org/10.14569/IJACSA.2020.0111167 PDF

68

Genetic Programming-Based Code Generation for Arduino

Author 1: Wildor Ferrel Author 2: Luis Alfaro

This article describes a methodology for writing the program for the Arduino board using an automatic generator of assembly language routines that works based on a cooperative coevolutionary multi-objective linear genetic programming algorithm. The methodology is described in an illustrative example that consists of the development of the program for… Read full abstract & cite →

Genetic programming Arduino mega board multi-objective linear genetic programming cooperative coevolutionary algorithm automatic generation of programs Arduino based thermometer

Abstract doi.org/10.14569/IJACSA.2020.0111168 PDF

69

Drop-Out Prediction in Higher Education Among B40 Students

Author 1: Nor Samsiah Sani Author 2: Ahmad Fikri Mohamed Nafuri Author 3: Zulaiha Ali Othman Author 4: Mohd Zakree Ahmad Nazri Author 5: Khairul Nadiyah Mohamad

Malaysia citizens are categorized into three different income groups which are the Top 20 Percent (T20), Middle 40 Percent (M40), and Bottom 40 Percent (B40). One of the focus areas in the Eleventh Malaysia Plan (11MP) is to elevate the B40 household group towards the middle-income society. In 2018, it… Read full abstract & cite →

Machine learning prediction student attrition student drop-out B40 random forest decision tree artificial neural network

Abstract doi.org/10.14569/IJACSA.2020.0111169 PDF

70

Proficiency Assessment of Machine Learning Classifiers: An Implementation for the Prognosis of Breast Tumor and Heart Disease Classification

Author 1: Talha Ahmed Khan Author 2: Kushsairy A. Kadir Author 3: Shahzad Nasim Author 4: Muhammad Alam Author 5: Zeeshan Shahid Author 6: M.S Mazliham

Breast cancer and heart disease can be acknowledged as very dangerous and common disease in many countries including Pakistan. In this paper classifiers comparative study has been performed for the tumor and heart disease classification. Around one lac women are diagnosed annually with this life-threatening disease having no family history… Read full abstract & cite →

Breast cancer benign malignant logistic regression cardiovascular disease heart disease diagnosis support vector machine classifiers k-nearest neighbors

Abstract doi.org/10.14569/IJACSA.2020.0111170 PDF

71

Educational Data Mining for Monitoring and Improving Academic Performance at University Levels

Author 1: Ezekiel U Okike Author 2: Merapelo Mogorosi

This study applied Educational Data Mining on 712 sample of logs extracted from Moodle Learning Management System (LMS) at an African University in order to measure students and staff patterns of use of the LMS resources and hence determine if the quantity of participation measured in the amount of time… Read full abstract & cite →

Educational data mining learning management systems Weka system tools improved academic performance

Abstract doi.org/10.14569/IJACSA.2020.0111171 PDF

72

Improved PSO Performance using LSTM based Inertia Weight Estimation

Author 1: Y. V.R.Naga Pawan Author 2: Kolla Bhanu Prakash

Particle Swarm Optimization (PSO) is first introduced in the year 1995. It is mostly an applied population-based meta-heuristic optimization algorithm. PSO is diversely used in the areas of sciences, engineering, technology, medicine, and humanities. Particle Swarm Optimization (PSO) is improved its performance by tuning the inertia weight, topology, velocity clamping… Read full abstract & cite →

Particle swarm optimization inertia weight long short term memory benchmark functions convergence

Abstract doi.org/10.14569/IJACSA.2020.0111172 PDF

73

Identifying the Impacts of Active and Passive Attacks on Network Layer in a Mobile Ad-hoc Network: A Simulation Perspective

Author 1: Uthumansa Ahamed Author 2: Shantha Fernando

In this research, we attempted to investigate about the features and behaviors of network layer based active and passive attacks in Ad-hoc On-Demand Vector (AODV) routing protocol in Mobile Ad-hoc Networks (MANET). Through the literature survey, we try to understand the features of each attacks and examine the behaviors of… Read full abstract & cite →

Active attack network layer passive attack perfor-mance matrices simulation study

Abstract doi.org/10.14569/IJACSA.2020.0111173 PDF

74

Hybrid Solution for Container Placement and Load Balancing based on ACO and Bin Packing

Author 1: Oussama SMIMITE Author 2: Karim AFDEL

Currently, data centers energy consumption in the cloud is attracting a lot of interest. One of the most approaches to optimize energy and cost in data centers is virtualization. Recently, a new type of container-based virtualization has ap-peared, containers are considered very light and modular virtual machines, they offer great… Read full abstract & cite →

Cloud virtualization container placement Green IT containerization

Abstract doi.org/10.14569/IJACSA.2020.0111174 PDF

75

Speaker-Independent Speech Recognition using Visual Features

Author 1: Pooventhiran G Author 2: Sandeep A Author 3: Manthiravalli K Author 4: Harish D Author 5: Karthika Renuka D

Visual Speech Recognition aims at transcribing lip movements into readable text. There have been many strides in automatic speech recognition systems that can recognize words with audio and visual speech features, even under noisy conditions. This paper focuses only on the visual features, while a robust system uses visual features… Read full abstract & cite →

Visual speech recognition audio speech recogni-tion visemes lip reading system Convolutional Neural Network (CNN)

Abstract doi.org/10.14569/IJACSA.2020.0111175 PDF

76

Security Issues in Near Field Communications (NFC)

Author 1: Arwa Alrawais

Near Field Communications (NFC) is a rising tech-nology that enables two devices that are within close proximity to quickly establish wireless contactless communications. It looks intuitively secure enough and various applications like ticketing, mobile payments, access grant etc. are taking advantage of NFC and flooding into the market in recent… Read full abstract & cite →

Near Field Communications (NFC) NFC attacks NFC countermeasures NFC vulnerabilities

Abstract doi.org/10.14569/IJACSA.2020.0111176 PDF

77

Meezaj: An Interactive System for Real-Time Mood Measurement and Reflection based on Internet of Things

Author 1: Ehsan Ahmad

Subjective well-being has a critical affect on progress and productivity vital for digital and strategical trans-formation. Increase in the suicide attempts of the college and university students is a clear indication of stress and anxiety among the students. Offering a fulfilling and healthy life to promote the life-long learning journey… Read full abstract & cite →

Subject well-being happiness IoT Arduino Vision 2030

Abstract doi.org/10.14569/IJACSA.2020.0111177 PDF

78

A Repeated Median Filtering Method for Denoising Mammogram Images

Author 1: Hussain AlSalman

In the medical field, mammogram analysis is one of the most important breast cancer detection procedures and early diagnosis. During the image acquisition process of mammograms, the acquired images may be contained some noises due to the change of illumination and sensor error. Hence, it is necessary to remove these… Read full abstract & cite →

Mammogram images image denoising median filter repeated median filtering speckle noise salt and paper noise

Abstract doi.org/10.14569/IJACSA.2020.0111178 PDF

79

Developing an Information Management Strategy for e-government in Saudi Arabia

Author 1: Fatmah Almehmadi

Given the current Corona virus pandemic, the role of e-government in both developed and developing countries is becoming more important than ever. This study aims to assess the development of e-government in Saudi Arabia and to compare it with that of two world e-government leaders: USA and the Republic of… Read full abstract & cite →

e-Government Information technology Information management Trend analysis Saudi Arabia the USA the Republic of Korea

Abstract doi.org/10.14569/IJACSA.2020.0111179 PDF

80

The Automatic Agricultural Crop Maintenance System using Runway Scheduling Algorithm: Fuzzyc-LR for IoT Networks

Author 1: G. Balakrishna Author 2: Nageswara Rao Moparthi

In this framework, the crop diseases have been identified using three types of methods, fuzzy-c as a clustering algorithm, runway scheduling trains like classification algorithm, and logistic regression as prediction algorithm. These techniques are meaningful solutions for losses in yields and the quantity of agriculture production. In this work, crop… Read full abstract & cite →

Runway Scheduling Algorithm (RWSA) Sensor Calibration and Feedback Method (SCFM) IoT fuzzy-c logistic regression (LR)

Abstract doi.org/10.14569/IJACSA.2020.0111180 PDF

81

Legal Requirements towards Enhancing the Security of Medical Devices

Author 1: Prosper K. Yeng Author 2: Stephen D. Wulthusen Author 3: Bian Yang

Over 25 million Americans are dependent on med-ical devices. However, the patients who need these devices only have two choices, thus the choice between using an insecure critical-life-functioning devices or the choice to live without the support of a medical device with the consequences of the threats presented by the… Read full abstract & cite →

Information security medical device legal require-ment healthcare privacy

Abstract doi.org/10.14569/IJACSA.2020.0111181 PDF

82

Fine-Tuning Pre-Trained Convolutional Neural Networks for Women Common Cancer Classification using RNA-Seq Gene Expression

Author 1: Fadi Alharbi Author 2: Murtada K. Elbashir Author 3: Mohanad Mohammed Author 4: Mohamed Elhafiz Mustafa

Most of the recent cancer classification methods use gene expression profile as features because it can provide very important information regarding tumor characteristics. Motivated by their success in the computer vision area now deep learning has been successfully applied to medical data because it can read non-linear patterns in a… Read full abstract & cite →

Fine-tuning RNA-Seq gene expression

Abstract doi.org/10.14569/IJACSA.2020.0111182 PDF

83

PlusApps: Towards a Privacy Risk Analysis for Android Plus Applications

Author 1: Abdullah J. Alzahrani

The Android platform leads the mobile operating system marketplace and subsequently has drawn the interest of malware authors and researchers. The significant number of proposed malware detection techniques, classification models and practical reverse engineering solutions are insufficient and there is a lack of perfection. Also, the number of Android apps… Read full abstract & cite →

Android security malware detection permission analysis privacy risk plus application

Abstract doi.org/10.14569/IJACSA.2020.0111183 PDF

84

Design of a Mobile Application for the Automation of the Census Process in Peru

Author 1: Luis Alberto Romero Tuanama Author 2: Juber Alfonso Quiroz Gutarra Author 3: Laberiano Andrade-Arenas

This study shows that the traditional census process in Peru has many shortcomings, including the loss of data and the long duration of the process. To solve this problem, a mobile application was designed to automate the census process in Peru. For the development, we will rely on the agile… Read full abstract & cite →

Automation Balsamiq Mockup census scrum

Abstract doi.org/10.14569/IJACSA.2020.0111184 PDF

85

Augmented Reality Electronic Glasses Prototype to Improve Vision in Older Adults

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

In this article, we focus on the elderly who suffer from low vision. We seek to design Augmented reality electronic glasses to help the elderly who suffer from vision problems, which causes a limitation when performing their daily activities, so this can affect their development in society causing serious physical… Read full abstract & cite →

Augmented reality design thinking electronic glasses low vision seniors

Abstract doi.org/10.14569/IJACSA.2020.0111185 PDF

86

Clustering-Based Hybrid Approach for Multivariate Missing Data Imputation

Author 1: Aditya Dubey Author 2: Akhtar Rasool

In the era of big data, a significant amount of data is produced in many applications areas. However due to various reasons including sensor failures, communication failures, environmental disruptions, and human errors, missing values are found frequently These missing data in the observed data make a challenge for other data… Read full abstract & cite →

Clustering imputation KNN missing at random multivariate

Abstract doi.org/10.14569/IJACSA.2020.0111186 PDF

87

Design of a Mobile Application for the Learning of People with Down Syndrome through Interactive Games

Author 1: Richard Arias-Marreros Author 2: Keyla Nalvarte-Dionisio Author 3: Laberiano Andrade-Arenas

The research work is focused on people with Down syndrome since it is the most common genetic disorder worldwide, also, these people have cognitive and visual-motor disabilities, however, the Peruvian state does not use even 1% of the budget allocated to the educational sector of these people, so, by not… Read full abstract & cite →

Application of games cognitive disabilities Down’s Syndrome scrum methodology Troncoso Method

Abstract doi.org/10.14569/IJACSA.2020.0111187 PDF

88

Anti-Molestation: An IoT based Device for Women’s Self-Security System to Avoid Unlawful Activities

Author 1: Md. Imtiaz Hanif Author 2: Shakil Ahmed Author 3: Wahiduzzaman Akanda Author 4: Shohag Barman

Now-a-days, the public, mostly women and children are facing much harassment from the societies. The unlawful activities against ladies and children have been increasing signifi-cantly, and regularly we find out about eve-teasing, sexual assault cases, and attempt to molest or even killing after rape in public places or open areas… Read full abstract & cite →

Anti-rape IoT device smart-safety device women safety wearable device GSM/GPRS

Abstract doi.org/10.14569/IJACSA.2020.0111188 PDF

89

Non-Linear Control Strategies for Attitude Maneuvers in a CubeSat with Three Reaction Wheels

Author 1: Brayan Espinoza Garcia Author 2: Ayrton Martin Yanyachi Author 3: Pablo Raul Yanyachi

Development of nanosatellites with CubeSat stan-dard allow students and professionals to get involved into the aerospace technology. In nanosatellites, attitude plays an im-portant role since they can be affected by various disturbances such as gravity gradient and solar radiation. These disturbances generate a torque in the system that must be… Read full abstract & cite →

Attitude control attitude maneuvers adaptive con-trol feedback control CubeSat Quaternions reaction wheels comparison

Abstract doi.org/10.14569/IJACSA.2020.0111189 PDF

90

Comparison of the CatBoost Classifier with other Machine Learning Methods

Author 1: Abdullahi A. Ibrahim Author 2: Raheem L. Ridwan Author 3: Muhammed M. Muhammed Author 4: Rabiat O. Abdulaziz Author 5: Ganiyu A. Saheed

Machine learning and data-driven techniques have become very famous and significant in several areas in recent times. In this paper, we discuss the performances of some machine learning methods with the case of the catBoost classifier algorithm on both loan approval and staff promotion. We compared the algorithm’s performance with… Read full abstract & cite →

Machine learning algorithms data science Cat-Boost loan approvals staff promotion

Abstract doi.org/10.14569/IJACSA.2020.0111190 PDF

91

Hindustani or Hindi vs. Urdu: A Computational Approach for the Exploration of Similarities Under Phonetic Aspects

Author 1: Muhammad Suffian Nizami Author 2: Tafseer Ahmed Author 3: Muhammad Yaseen Khan

The semantic coexistence is the reason to adopt the language spoken by other people. In such human habitats, different languages share words typically known as loan words which appears not only as of the principal medium of enriching language vocabulary but also for creating influence upon each other for building… Read full abstract & cite →

Lexical Similarity Urdu Hindi Edit Distance Pho-netics Natural Language Processing Computational Linguistics

Abstract doi.org/10.14569/IJACSA.2020.0111191 PDF

92

A Novel Band Selection Approach for Hyperspectral Image Classification using the Kolmogorov Variational Distance

Author 1: Mohammed LAHLIMI Author 2: Mounir Ait KERROUM Author 3: Youssef FAKHRI

In this paper, we introduce a novel band selection approach based on the Kolmogorov Variational Distance (KoVD) for Hyperspectral image classification. The main reason we are taking interest in KoVD is its unique relation to the classifi-cation error. Our previous works on band selection using the Mutual Information (MI), the… Read full abstract & cite →

Band selection Bayes Information Criterion (BIC) Bhattacharyya Distance divergence distance hyperspectral imag-ing Kolmogorov Variation Distance Gaussian Mixture Model (GMM) Robust Expectation Maximization (REM) remote sensing

Abstract doi.org/10.14569/IJACSA.2020.0111192 PDF

93

Data Augmentation using Generative Adversarial Network for Gastrointestinal Parasite Microscopy Image Classification

Author 1: Mila Yoselyn Pacompia Machaca Author 2: Milagros Lizet Mayta Rosas Author 3: Eveling Castro-Gutierrez Author 4: Henry Abraham Talavera Diaz Author 5: Victor Luis Vasquez Huerta

Gastrointestinal parasitic diseases represent a latent problem in developing countries; it is necessary to create a support tools for the medical diagnosis of these diseases, it is required to automate tasks such as the classification of samples of the causative parasites obtained through the microscope using methods like deep learning… Read full abstract & cite →

Generative Adversarial Network (GAN) Deep Con-volutional Generative Adversaria Network (DCGAN) gastrointesti-nal parasites classification deep learning

Abstract doi.org/10.14569/IJACSA.2020.0111193 PDF

94

Comparative Analysis of Threat Modeling Methods for Cloud Computing towards Healthcare Security Practice

Author 1: Prosper K. Yeng Author 2: Stephen D. Wulthusen Author 3: Bian Yang

Healthcare organizations consist of unique activities including collaborating on patients care and emergency care. The sector also accumulates high sensitive multifaceted patients’ data such as text reports, radiology images and pathological slides. The large volume of the data is often stored as Electronic Health Records (EHR) which must be frequently… Read full abstract & cite →

Cloud computing healthcare threat modelling security practice data privacy

Abstract doi.org/10.14569/IJACSA.2020.0111194 PDF

95

Dense Dilated Inception Network for Medical Image Segmentation

Author 1: Surayya Ado Bala Author 2: Shri Kant

In recent years, various encoder-decoder-based U-Net architecture has shown remarkable performance in medical image segmentation. However, these encoder-decoder U-Net has a drawback in learning multi-scale features in complex segmentation tasks and weak ability to generalize to other tasks. This paper proposed a generalize encoder-decoder model called dense dilated inception network… Read full abstract & cite →

Deep learning Dense-Net inception network medical image segmentation U-Net

Abstract doi.org/10.14569/IJACSA.2020.0111195 PDF

96

Phishing Image Spam Classification Research Trends: Survey and Open Issues

Author 1: Ovye John Abari Author 2: Nor Fazlida Mohd Sani Author 3: Fatimah Khalid Author 4: Mohd Yunus Bin Sharum Author 5: Noor Afiza Mohd Ariffin

A phishing email is an attack that focused com-pletely on people to circumvent existing traditional security algorithms. The email appears to be a dependable, appropriate, and solid communication medium for internet users. At present, the email is submerged with spam content, both in text-based form or undesired text planted inside… Read full abstract & cite →

Phishing spam image spam classification machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2020.0111196 PDF